2022-09-12 03:55:09,899 - mmdet - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/lustre/share/cuda-11.1 NVCC: Build cuda_11.1.TC455_06.29069683_0 GCC: gcc (GCC) 7.3.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.6.0 MMCV: 1.4.2 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMDetection: 2.22.0+abdbbac ------------------------------------------------------------ 2022-09-12 03:55:10,809 - mmdet - INFO - Distributed training: True 2022-09-12 03:55:11,776 - mmdet - INFO - Config: dataset_type = 'CocoDataset' data_root = 'data/coco/' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='InstaBoost', action_candidate=('normal', 'horizontal', 'skip'), action_prob=(1, 0, 0), scale=(0.8, 1.2), dx=15, dy=15, theta=(-1, 1), color_prob=0.5, hflag=False, aug_ratio=0.5), dict( type='LoadAnnotations', with_bbox=True, with_mask=True, with_seg=True), dict( type='Resize', img_scale=[(1600, 400), (1600, 1400)], multiscale_mode='range', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='SegRescale', scale_factor=0.125), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks', 'gt_semantic_seg']) ] test_pipeline = [ dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='MultiScaleFlipAug', img_scale=(1600, 1400), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=1, workers_per_gpu=2, train=dict( type='CocoDataset', ann_file='data/coco/annotations/instances_train2017.json', img_prefix='data/coco/train2017/', pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='InstaBoost', action_candidate=('normal', 'horizontal', 'skip'), action_prob=(1, 0, 0), scale=(0.8, 1.2), dx=15, dy=15, theta=(-1, 1), color_prob=0.5, hflag=False, aug_ratio=0.5), dict( type='LoadAnnotations', with_bbox=True, with_mask=True, with_seg=True), dict( type='Resize', img_scale=[(1600, 400), (1600, 1400)], multiscale_mode='range', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='SegRescale', scale_factor=0.125), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=[ 'img', 'gt_bboxes', 'gt_labels', 'gt_masks', 'gt_semantic_seg' ]) ], seg_prefix='data/coco/stuffthingmaps/train2017/'), val=dict( type='CocoDataset', ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='MultiScaleFlipAug', img_scale=(1600, 1400), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='CocoDataset', ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='MultiScaleFlipAug', img_scale=(1600, 1400), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) evaluation = dict(metric=['bbox', 'segm']) optimizer = dict( type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.05, constructor='LayerDecayOptimizerConstructor', paramwise_cfg=dict(num_layers=24, layer_decay_rate=0.9)) optimizer_config = dict(grad_clip=None) lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[27, 33]) runner = dict(type='EpochBasedRunner', max_epochs=36) checkpoint_config = dict(interval=1, max_keep_ckpts=2, save_last=True) log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) custom_hooks = [dict(type='NumClassCheckHook')] dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] pretrained = 'pretrained/beitv2_large_patch16_224_pt1k_ft21k.pth' model = dict( type='HybridTaskCascade', backbone=dict( type='BEiTAdapter', img_size=224, patch_size=16, embed_dim=1024, depth=24, num_heads=16, mlp_ratio=4, qkv_bias=True, use_abs_pos_emb=False, use_rel_pos_bias=True, init_values=1e-06, drop_path_rate=0.4, conv_inplane=64, n_points=4, deform_num_heads=16, cffn_ratio=0.25, deform_ratio=0.5, window_attn=[ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True ], window_size=[ 14, 14, 14, 14, 14, 56, 14, 14, 14, 14, 14, 56, 14, 14, 14, 14, 14, 56, 14, 14, 14, 14, 14, 56 ], interaction_indexes=[[0, 5], [6, 11], [12, 17], [18, 23]], pretrained='pretrained/beitv2_large_patch16_224_pt1k_ft21k.pth'), neck=[ dict( type='ExtraAttention', in_channels=[1024, 1024, 1024, 1024], num_head=32, with_ffn=True, ffn_ratio=4.0, drop_path=0.3), dict( type='FPN', in_channels=[1024, 1024, 1024, 1024], out_channels=256, num_outs=5) ], rpn_head=dict( type='RPNHead', in_channels=256, feat_channels=256, anchor_generator=dict( type='AnchorGenerator', scales=[8], ratios=[0.5, 1.0, 2.0], strides=[4, 8, 16, 32, 64]), bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[1.0, 1.0, 1.0, 1.0]), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), loss_bbox=dict( type='SmoothL1Loss', beta=0.1111111111111111, loss_weight=1.0)), roi_head=dict( type='HybridTaskCascadeRoIHead', interleaved=True, mask_info_flow=True, num_stages=3, stage_loss_weights=[1, 0.5, 0.25], bbox_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), bbox_head=[ dict( type='Shared4Conv1FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.1, 0.1, 0.2, 0.2]), reg_class_agnostic=True, loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)), dict( type='Shared4Conv1FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.05, 0.05, 0.1, 0.1]), reg_class_agnostic=True, loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)), dict( type='Shared4Conv1FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.033, 0.033, 0.067, 0.067]), reg_class_agnostic=True, loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)) ], mask_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), mask_head=[ dict( type='HTCMaskHead', with_conv_res=False, num_convs=4, in_channels=256, conv_out_channels=256, num_classes=80, loss_mask=dict( type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)), dict( type='HTCMaskHead', num_convs=4, in_channels=256, conv_out_channels=256, num_classes=80, loss_mask=dict( type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)), dict( type='HTCMaskHead', num_convs=4, in_channels=256, conv_out_channels=256, num_classes=80, loss_mask=dict( type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)) ], semantic_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), out_channels=256, featmap_strides=[8]), semantic_head=dict( type='FusedSemanticHead', num_ins=5, fusion_level=1, num_convs=4, in_channels=256, conv_out_channels=256, num_classes=183, loss_seg=dict( type='CrossEntropyLoss', ignore_index=255, loss_weight=0.2))), train_cfg=dict( rpn=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.3, min_pos_iou=0.3, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=256, pos_fraction=0.5, neg_pos_ub=-1, add_gt_as_proposals=False), allowed_border=0, pos_weight=-1, debug=False), rpn_proposal=dict( nms_pre=2000, max_per_img=2000, nms=dict(type='nms', iou_threshold=0.7), min_bbox_size=0), rcnn=[ dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.5, min_pos_iou=0.5, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False), dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.6, neg_iou_thr=0.6, min_pos_iou=0.6, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False), dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.7, min_pos_iou=0.7, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False) ]), test_cfg=dict( rpn=dict( nms_pre=1000, max_per_img=1000, nms=dict(type='nms', iou_threshold=0.7), min_bbox_size=0), rcnn=dict( score_thr=0.001, nms=dict(type='soft_nms', iou_threshold=0.5), max_per_img=100, mask_thr_binary=0.5))) file_client_args = dict(backend='disk') work_dir = 'work_dirs/htc++_beitv2_adapter_large_fpn_3x_coco' auto_resume = False gpu_ids = range(0, 16) 2022-09-12 03:55:23,071 - mmdet - INFO - Set random seed to 1152438423, deterministic: False 2022-09-12 03:55:57,964 - mmdet - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: cls_token, fc_norm.weight, fc_norm.bias, head.weight, head.bias missing keys in source state_dict: blocks.0.attn.relative_position_index, blocks.1.attn.relative_position_index, blocks.2.attn.relative_position_index, blocks.3.attn.relative_position_index, blocks.4.attn.relative_position_index, blocks.5.attn.relative_position_index, blocks.6.attn.relative_position_index, blocks.7.attn.relative_position_index, blocks.8.attn.relative_position_index, blocks.9.attn.relative_position_index, blocks.10.attn.relative_position_index, blocks.11.attn.relative_position_index, blocks.12.attn.relative_position_index, blocks.13.attn.relative_position_index, blocks.14.attn.relative_position_index, blocks.15.attn.relative_position_index, blocks.16.attn.relative_position_index, blocks.17.attn.relative_position_index, blocks.18.attn.relative_position_index, blocks.19.attn.relative_position_index, blocks.20.attn.relative_position_index, blocks.21.attn.relative_position_index, blocks.22.attn.relative_position_index, blocks.23.attn.relative_position_index 2022-09-12 03:56:30,633 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-09-12 03:56:31,801 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} 2022-09-12 03:56:31,871 - mmdet - INFO - initialize Shared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] 2022-09-12 03:56:33,087 - mmdet - INFO - initialize Shared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] 2022-09-12 03:56:34,492 - mmdet - INFO - initialize Shared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] 2022-09-12 03:56:36,818 - mmdet - INFO - initialize FusedSemanticHead with init_cfg {'type': 'Kaiming', 'override': {'name': 'conv_logits'}} Name of parameter - Initialization information backbone.level_embed - torch.Size([3, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.patch_embed.proj.weight - torch.Size([1024, 3, 16, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.patch_embed.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.relative_position_bias_table - torch.Size([12321, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.relative_position_bias_table - torch.Size([12321, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.relative_position_bias_table - torch.Size([12321, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.relative_position_bias_table - torch.Size([12321, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.0.weight - torch.Size([64, 3, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.3.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.6.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.7.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.7.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv2.0.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv2.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv2.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv3.0.weight - torch.Size([256, 128, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv3.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv3.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv4.0.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv4.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv4.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc1.weight - torch.Size([1024, 64, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc2.weight - torch.Size([1024, 128, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc3.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc4.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.up.weight - torch.Size([1024, 1024, 2, 2]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.up.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm4.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.ffn.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.ffn.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.ffn.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.final_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.final_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.lateral_convs.0.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.lateral_convs.3.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.lateral_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_conv.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.bias - torch.Size([3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.bias - torch.Size([12]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.0.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.0.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.0.fc_reg.weight - torch.Size([4, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.0.fc_reg.bias - torch.Size([4]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.0.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.0.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.1.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.1.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.1.fc_reg.weight - torch.Size([4, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.1.fc_reg.bias - torch.Size([4]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.1.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.1.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.2.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.2.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.2.fc_reg.weight - torch.Size([4, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.2.fc_reg.bias - torch.Size([4]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.2.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.2.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.mask_head.0.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.upsample.weight - torch.Size([256, 256, 2, 2]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.upsample.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.conv_logits.weight - torch.Size([80, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.conv_logits.bias - torch.Size([80]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.upsample.weight - torch.Size([256, 256, 2, 2]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.upsample.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.conv_logits.weight - torch.Size([80, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.conv_logits.bias - torch.Size([80]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.conv_res.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.conv_res.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.upsample.weight - torch.Size([256, 256, 2, 2]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.upsample.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.conv_logits.weight - torch.Size([80, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.conv_logits.bias - torch.Size([80]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.conv_res.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.conv_res.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.0.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.1.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.2.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.3.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.4.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.4.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.conv_embedding.conv.weight - torch.Size([256, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule roi_head.semantic_head.conv_embedding.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.conv_logits.weight - torch.Size([183, 256, 1, 1]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 roi_head.semantic_head.conv_logits.bias - torch.Size([183]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 2022-09-12 03:56:58,209 - mmdet - INFO - Start running, host: chenzhe1@SH-IDC1-10-140-1-157, work_dir: /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/detection/work_dirs/htc++_beitv2_adapter_large_fpn_3x_coco 2022-09-12 03:56:58,210 - mmdet - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) NumClassCheckHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) NumClassCheckHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2022-09-12 03:56:58,212 - mmdet - INFO - workflow: [('train', 1)], max: 36 epochs 2022-09-12 03:56:58,212 - mmdet - INFO - Checkpoints will be saved to /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/detection/work_dirs/htc++_beitv2_adapter_large_fpn_3x_coco by HardDiskBackend. 2022-09-12 03:59:30,649 - mmdet - INFO - Epoch [1][50/7330] lr: 9.890e-06, eta: 9 days, 7:22:33, time: 3.048, data_time: 1.671, memory: 62382, loss_rpn_cls: 0.7080, loss_rpn_bbox: 0.0799, loss_semantic_seg: 4.0703, s0.loss_cls: 1.3169, s0.acc: 75.1475, s0.loss_bbox: 0.0140, s0.loss_mask: 0.7154, s1.loss_cls: 0.3712, s1.acc: 86.7156, s1.loss_bbox: 0.0038, s1.loss_mask: 0.3754, s2.loss_cls: 0.2913, s2.acc: 75.1477, s2.loss_bbox: 0.0008, s2.loss_mask: 0.1884, loss: 8.1352 2022-09-12 04:00:32,760 - mmdet - INFO - Epoch [1][100/7330] lr: 1.988e-05, eta: 6 days, 13:08:10, time: 1.241, data_time: 0.026, memory: 62382, loss_rpn_cls: 0.6488, loss_rpn_bbox: 0.0812, loss_semantic_seg: 1.6559, s0.loss_cls: 0.1974, s0.acc: 97.7415, s0.loss_bbox: 0.0236, s0.loss_mask: 0.6895, s1.loss_cls: 0.0787, s1.acc: 98.2866, s1.loss_bbox: 0.0071, s1.loss_mask: 0.3443, s2.loss_cls: 0.0349, s2.acc: 98.4988, s2.loss_bbox: 0.0011, s2.loss_mask: 0.1707, loss: 3.9331 2022-09-12 04:01:34,879 - mmdet - INFO - Epoch [1][150/7330] lr: 2.987e-05, eta: 5 days, 15:06:41, time: 1.244, data_time: 0.032, memory: 62397, loss_rpn_cls: 0.4974, loss_rpn_bbox: 0.0837, loss_semantic_seg: 1.0545, s0.loss_cls: 0.2992, s0.acc: 96.1106, s0.loss_bbox: 0.0682, s0.loss_mask: 0.6768, s1.loss_cls: 0.0999, s1.acc: 97.6575, s1.loss_bbox: 0.0200, s1.loss_mask: 0.3344, s2.loss_cls: 0.0390, s2.acc: 98.2471, s2.loss_bbox: 0.0032, s2.loss_mask: 0.1642, loss: 3.3407 2022-09-12 04:02:37,225 - mmdet - INFO - Epoch [1][200/7330] lr: 3.986e-05, eta: 5 days, 4:08:40, time: 1.247, data_time: 0.023, memory: 62397, loss_rpn_cls: 0.3239, loss_rpn_bbox: 0.0760, loss_semantic_seg: 0.8966, s0.loss_cls: 0.3654, s0.acc: 94.9790, s0.loss_bbox: 0.1011, s0.loss_mask: 0.6603, s1.loss_cls: 0.1114, s1.acc: 97.2429, s1.loss_bbox: 0.0315, s1.loss_mask: 0.3193, s2.loss_cls: 0.0388, s2.acc: 98.1721, s2.loss_bbox: 0.0049, s2.loss_mask: 0.1551, loss: 3.0843 2022-09-12 04:03:40,534 - mmdet - INFO - Epoch [1][250/7330] lr: 4.985e-05, eta: 4 days, 21:49:27, time: 1.265, data_time: 0.020, memory: 62459, loss_rpn_cls: 0.2346, loss_rpn_bbox: 0.0698, loss_semantic_seg: 0.8272, s0.loss_cls: 0.3896, s0.acc: 94.1929, s0.loss_bbox: 0.1228, s0.loss_mask: 0.6438, s1.loss_cls: 0.1144, s1.acc: 96.9397, s1.loss_bbox: 0.0393, s1.loss_mask: 0.3082, s2.loss_cls: 0.0378, s2.acc: 98.1025, s2.loss_bbox: 0.0062, s2.loss_mask: 0.1497, loss: 2.9433 2022-09-12 04:04:43,009 - mmdet - INFO - Epoch [1][300/7330] lr: 5.984e-05, eta: 4 days, 17:25:51, time: 1.251, data_time: 0.028, memory: 62459, loss_rpn_cls: 0.2050, loss_rpn_bbox: 0.0665, loss_semantic_seg: 0.7692, s0.loss_cls: 0.4028, s0.acc: 93.9412, s0.loss_bbox: 0.1307, s0.loss_mask: 0.6285, s1.loss_cls: 0.1160, s1.acc: 96.8894, s1.loss_bbox: 0.0411, s1.loss_mask: 0.2996, s2.loss_cls: 0.0382, s2.acc: 98.0930, s2.loss_bbox: 0.0067, s2.loss_mask: 0.1461, loss: 2.8503 2022-09-12 04:05:46,309 - mmdet - INFO - Epoch [1][350/7330] lr: 6.983e-05, eta: 4 days, 14:26:51, time: 1.266, data_time: 0.023, memory: 62459, loss_rpn_cls: 0.1948, loss_rpn_bbox: 0.0661, loss_semantic_seg: 0.7655, s0.loss_cls: 0.4376, s0.acc: 93.4509, s0.loss_bbox: 0.1422, s0.loss_mask: 0.6136, s1.loss_cls: 0.1258, s1.acc: 96.6851, s1.loss_bbox: 0.0443, s1.loss_mask: 0.2929, s2.loss_cls: 0.0404, s2.acc: 98.0007, s2.loss_bbox: 0.0069, s2.loss_mask: 0.1435, loss: 2.8738 2022-09-12 04:06:50,361 - mmdet - INFO - Epoch [1][400/7330] lr: 7.982e-05, eta: 4 days, 12:20:13, time: 1.280, data_time: 0.024, memory: 62459, loss_rpn_cls: 0.2047, loss_rpn_bbox: 0.0704, loss_semantic_seg: 0.7677, s0.loss_cls: 0.4465, s0.acc: 93.6218, s0.loss_bbox: 0.1386, s0.loss_mask: 0.6121, s1.loss_cls: 0.1281, s1.acc: 96.7471, s1.loss_bbox: 0.0432, s1.loss_mask: 0.2937, s2.loss_cls: 0.0420, s2.acc: 98.0190, s2.loss_bbox: 0.0067, s2.loss_mask: 0.1441, loss: 2.8979 2022-09-12 04:07:53,606 - mmdet - INFO - Epoch [1][450/7330] lr: 8.981e-05, eta: 4 days, 10:34:12, time: 1.265, data_time: 0.029, memory: 62716, loss_rpn_cls: 0.2324, loss_rpn_bbox: 0.0725, loss_semantic_seg: 0.7970, s0.loss_cls: 0.4270, s0.acc: 94.0544, s0.loss_bbox: 0.1288, s0.loss_mask: 0.6087, s1.loss_cls: 0.1246, s1.acc: 96.9673, s1.loss_bbox: 0.0396, s1.loss_mask: 0.2926, s2.loss_cls: 0.0408, s2.acc: 98.1360, s2.loss_bbox: 0.0062, s2.loss_mask: 0.1437, loss: 2.9138 2022-09-12 04:08:56,490 - mmdet - INFO - Epoch [1][500/7330] lr: 9.980e-05, eta: 4 days, 9:05:47, time: 1.258, data_time: 0.022, memory: 62716, loss_rpn_cls: 0.2013, loss_rpn_bbox: 0.0676, loss_semantic_seg: 0.7807, s0.loss_cls: 0.4261, s0.acc: 93.8809, s0.loss_bbox: 0.1330, s0.loss_mask: 0.5966, s1.loss_cls: 0.1233, s1.acc: 96.8699, s1.loss_bbox: 0.0422, s1.loss_mask: 0.2886, s2.loss_cls: 0.0409, s2.acc: 98.1321, s2.loss_bbox: 0.0064, s2.loss_mask: 0.1410, loss: 2.8479 2022-09-12 04:09:58,217 - mmdet - INFO - Epoch [1][550/7330] lr: 1.000e-04, eta: 4 days, 7:44:01, time: 1.235, data_time: 0.025, memory: 62716, loss_rpn_cls: 0.2009, loss_rpn_bbox: 0.0731, loss_semantic_seg: 0.7578, s0.loss_cls: 0.4530, s0.acc: 93.4126, s0.loss_bbox: 0.1446, s0.loss_mask: 0.5937, s1.loss_cls: 0.1289, s1.acc: 96.6765, s1.loss_bbox: 0.0455, s1.loss_mask: 0.2875, s2.loss_cls: 0.0415, s2.acc: 98.0295, s2.loss_bbox: 0.0070, s2.loss_mask: 0.1415, loss: 2.8750 2022-09-12 04:11:01,958 - mmdet - INFO - Epoch [1][600/7330] lr: 1.000e-04, eta: 4 days, 6:50:20, time: 1.275, data_time: 0.021, memory: 62716, loss_rpn_cls: 0.1860, loss_rpn_bbox: 0.0677, loss_semantic_seg: 0.7459, s0.loss_cls: 0.4689, s0.acc: 93.2429, s0.loss_bbox: 0.1502, s0.loss_mask: 0.5815, s1.loss_cls: 0.1333, s1.acc: 96.5703, s1.loss_bbox: 0.0499, s1.loss_mask: 0.2793, s2.loss_cls: 0.0421, s2.acc: 98.0393, s2.loss_bbox: 0.0079, s2.loss_mask: 0.1375, loss: 2.8502 2022-09-12 04:12:05,880 - mmdet - INFO - Epoch [1][650/7330] lr: 1.000e-04, eta: 4 days, 6:06:06, time: 1.279, data_time: 0.023, memory: 62716, loss_rpn_cls: 0.1888, loss_rpn_bbox: 0.0698, loss_semantic_seg: 0.7402, s0.loss_cls: 0.4772, s0.acc: 92.7915, s0.loss_bbox: 0.1577, s0.loss_mask: 0.5888, s1.loss_cls: 0.1351, s1.acc: 96.3416, s1.loss_bbox: 0.0512, s1.loss_mask: 0.2825, s2.loss_cls: 0.0430, s2.acc: 97.8699, s2.loss_bbox: 0.0082, s2.loss_mask: 0.1384, loss: 2.8810 2022-09-12 04:13:09,048 - mmdet - INFO - Epoch [1][700/7330] lr: 1.000e-04, eta: 4 days, 5:22:57, time: 1.262, data_time: 0.019, memory: 62716, loss_rpn_cls: 0.1921, loss_rpn_bbox: 0.0707, loss_semantic_seg: 0.7099, s0.loss_cls: 0.4589, s0.acc: 93.0330, s0.loss_bbox: 0.1507, s0.loss_mask: 0.5802, s1.loss_cls: 0.1322, s1.acc: 96.4353, s1.loss_bbox: 0.0489, s1.loss_mask: 0.2785, s2.loss_cls: 0.0417, s2.acc: 97.9119, s2.loss_bbox: 0.0076, s2.loss_mask: 0.1370, loss: 2.8085 2022-09-12 04:14:11,778 - mmdet - INFO - Epoch [1][750/7330] lr: 1.000e-04, eta: 4 days, 4:43:26, time: 1.256, data_time: 0.028, memory: 62716, loss_rpn_cls: 0.1834, loss_rpn_bbox: 0.0681, loss_semantic_seg: 0.6978, s0.loss_cls: 0.4490, s0.acc: 93.0696, s0.loss_bbox: 0.1509, s0.loss_mask: 0.5676, s1.loss_cls: 0.1297, s1.acc: 96.4368, s1.loss_bbox: 0.0508, s1.loss_mask: 0.2708, s2.loss_cls: 0.0412, s2.acc: 97.9583, s2.loss_bbox: 0.0080, s2.loss_mask: 0.1336, loss: 2.7509 2022-09-12 04:15:15,895 - mmdet - INFO - Epoch [1][800/7330] lr: 1.000e-04, eta: 4 days, 4:16:04, time: 1.282, data_time: 0.032, memory: 62716, loss_rpn_cls: 0.1811, loss_rpn_bbox: 0.0681, loss_semantic_seg: 0.7010, s0.loss_cls: 0.4553, s0.acc: 92.8491, s0.loss_bbox: 0.1545, s0.loss_mask: 0.5771, s1.loss_cls: 0.1351, s1.acc: 96.1787, s1.loss_bbox: 0.0556, s1.loss_mask: 0.2759, s2.loss_cls: 0.0418, s2.acc: 97.8442, s2.loss_bbox: 0.0088, s2.loss_mask: 0.1346, loss: 2.7890 2022-09-12 04:16:17,758 - mmdet - INFO - Epoch [1][850/7330] lr: 1.000e-04, eta: 4 days, 3:40:09, time: 1.237, data_time: 0.022, memory: 62716, loss_rpn_cls: 0.1652, loss_rpn_bbox: 0.0629, loss_semantic_seg: 0.7158, s0.loss_cls: 0.4475, s0.acc: 93.0168, s0.loss_bbox: 0.1525, s0.loss_mask: 0.5680, s1.loss_cls: 0.1312, s1.acc: 96.3083, s1.loss_bbox: 0.0544, s1.loss_mask: 0.2721, s2.loss_cls: 0.0401, s2.acc: 97.9397, s2.loss_bbox: 0.0091, s2.loss_mask: 0.1331, loss: 2.7518 2022-09-12 04:17:21,649 - mmdet - INFO - Epoch [1][900/7330] lr: 1.000e-04, eta: 4 days, 3:18:00, time: 1.278, data_time: 0.022, memory: 62716, loss_rpn_cls: 0.1687, loss_rpn_bbox: 0.0678, loss_semantic_seg: 0.6979, s0.loss_cls: 0.4519, s0.acc: 92.7900, s0.loss_bbox: 0.1538, s0.loss_mask: 0.5635, s1.loss_cls: 0.1358, s1.acc: 96.0906, s1.loss_bbox: 0.0569, s1.loss_mask: 0.2685, s2.loss_cls: 0.0422, s2.acc: 97.7935, s2.loss_bbox: 0.0096, s2.loss_mask: 0.1314, loss: 2.7481 2022-09-12 04:18:24,423 - mmdet - INFO - Epoch [1][950/7330] lr: 1.000e-04, eta: 4 days, 2:52:52, time: 1.255, data_time: 0.027, memory: 62716, loss_rpn_cls: 0.1707, loss_rpn_bbox: 0.0678, loss_semantic_seg: 0.6794, s0.loss_cls: 0.4428, s0.acc: 92.8774, s0.loss_bbox: 0.1513, s0.loss_mask: 0.5610, s1.loss_cls: 0.1343, s1.acc: 96.0681, s1.loss_bbox: 0.0570, s1.loss_mask: 0.2674, s2.loss_cls: 0.0420, s2.acc: 97.7556, s2.loss_bbox: 0.0101, s2.loss_mask: 0.1307, loss: 2.7144 2022-09-12 04:19:27,934 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 04:19:27,937 - mmdet - INFO - Epoch [1][1000/7330] lr: 1.000e-04, eta: 4 days, 2:33:25, time: 1.270, data_time: 0.024, memory: 62716, loss_rpn_cls: 0.1704, loss_rpn_bbox: 0.0689, loss_semantic_seg: 0.6809, s0.loss_cls: 0.4560, s0.acc: 92.7224, s0.loss_bbox: 0.1526, s0.loss_mask: 0.5573, s1.loss_cls: 0.1404, s1.acc: 95.9211, s1.loss_bbox: 0.0600, s1.loss_mask: 0.2679, s2.loss_cls: 0.0432, s2.acc: 97.7205, s2.loss_bbox: 0.0101, s2.loss_mask: 0.1321, loss: 2.7399 2022-09-12 04:20:30,693 - mmdet - INFO - Epoch [1][1050/7330] lr: 1.000e-04, eta: 4 days, 2:12:36, time: 1.255, data_time: 0.026, memory: 62716, loss_rpn_cls: 0.1661, loss_rpn_bbox: 0.0653, loss_semantic_seg: 0.6851, s0.loss_cls: 0.4500, s0.acc: 92.6685, s0.loss_bbox: 0.1567, s0.loss_mask: 0.5529, s1.loss_cls: 0.1416, s1.acc: 95.8335, s1.loss_bbox: 0.0630, s1.loss_mask: 0.2624, s2.loss_cls: 0.0432, s2.acc: 97.6956, s2.loss_bbox: 0.0113, s2.loss_mask: 0.1282, loss: 2.7256 2022-09-12 04:21:34,127 - mmdet - INFO - Epoch [1][1100/7330] lr: 1.000e-04, eta: 4 days, 1:56:14, time: 1.269, data_time: 0.030, memory: 62716, loss_rpn_cls: 0.1688, loss_rpn_bbox: 0.0704, loss_semantic_seg: 0.6784, s0.loss_cls: 0.4554, s0.acc: 92.4297, s0.loss_bbox: 0.1606, s0.loss_mask: 0.5560, s1.loss_cls: 0.1422, s1.acc: 95.6992, s1.loss_bbox: 0.0651, s1.loss_mask: 0.2654, s2.loss_cls: 0.0433, s2.acc: 97.6250, s2.loss_bbox: 0.0118, s2.loss_mask: 0.1294, loss: 2.7470 2022-09-12 04:22:37,584 - mmdet - INFO - Epoch [1][1150/7330] lr: 1.000e-04, eta: 4 days, 1:41:18, time: 1.269, data_time: 0.023, memory: 62716, loss_rpn_cls: 0.1658, loss_rpn_bbox: 0.0674, loss_semantic_seg: 0.6688, s0.loss_cls: 0.4362, s0.acc: 92.4373, s0.loss_bbox: 0.1590, s0.loss_mask: 0.5515, s1.loss_cls: 0.1402, s1.acc: 95.5283, s1.loss_bbox: 0.0676, s1.loss_mask: 0.2607, s2.loss_cls: 0.0441, s2.acc: 97.4561, s2.loss_bbox: 0.0135, s2.loss_mask: 0.1266, loss: 2.7014 2022-09-12 04:23:40,418 - mmdet - INFO - Epoch [1][1200/7330] lr: 1.000e-04, eta: 4 days, 1:25:15, time: 1.257, data_time: 0.023, memory: 62716, loss_rpn_cls: 0.1652, loss_rpn_bbox: 0.0638, loss_semantic_seg: 0.6663, s0.loss_cls: 0.4462, s0.acc: 92.5176, s0.loss_bbox: 0.1571, s0.loss_mask: 0.5439, s1.loss_cls: 0.1432, s1.acc: 95.5723, s1.loss_bbox: 0.0668, s1.loss_mask: 0.2561, s2.loss_cls: 0.0442, s2.acc: 97.5076, s2.loss_bbox: 0.0130, s2.loss_mask: 0.1243, loss: 2.6903 2022-09-12 04:24:43,634 - mmdet - INFO - Epoch [1][1250/7330] lr: 1.000e-04, eta: 4 days, 1:11:43, time: 1.264, data_time: 0.023, memory: 62716, loss_rpn_cls: 0.1629, loss_rpn_bbox: 0.0684, loss_semantic_seg: 0.6698, s0.loss_cls: 0.4451, s0.acc: 92.3674, s0.loss_bbox: 0.1582, s0.loss_mask: 0.5483, s1.loss_cls: 0.1454, s1.acc: 95.3599, s1.loss_bbox: 0.0709, s1.loss_mask: 0.2600, s2.loss_cls: 0.0453, s2.acc: 97.3779, s2.loss_bbox: 0.0143, s2.loss_mask: 0.1252, loss: 2.7138 2022-09-12 04:25:46,521 - mmdet - INFO - Epoch [1][1300/7330] lr: 1.000e-04, eta: 4 days, 0:57:50, time: 1.256, data_time: 0.020, memory: 62716, loss_rpn_cls: 0.1616, loss_rpn_bbox: 0.0724, loss_semantic_seg: 0.6528, s0.loss_cls: 0.4560, s0.acc: 92.1157, s0.loss_bbox: 0.1641, s0.loss_mask: 0.5397, s1.loss_cls: 0.1505, s1.acc: 95.2261, s1.loss_bbox: 0.0729, s1.loss_mask: 0.2554, s2.loss_cls: 0.0468, s2.acc: 97.3025, s2.loss_bbox: 0.0148, s2.loss_mask: 0.1241, loss: 2.7112 2022-09-12 04:26:49,341 - mmdet - INFO - Epoch [1][1350/7330] lr: 1.000e-04, eta: 4 days, 0:45:08, time: 1.258, data_time: 0.027, memory: 62716, loss_rpn_cls: 0.1530, loss_rpn_bbox: 0.0629, loss_semantic_seg: 0.6628, s0.loss_cls: 0.4347, s0.acc: 92.6018, s0.loss_bbox: 0.1530, s0.loss_mask: 0.5412, s1.loss_cls: 0.1427, s1.acc: 95.4670, s1.loss_bbox: 0.0703, s1.loss_mask: 0.2569, s2.loss_cls: 0.0434, s2.acc: 97.4702, s2.loss_bbox: 0.0143, s2.loss_mask: 0.1249, loss: 2.6602 2022-09-12 04:27:53,401 - mmdet - INFO - Epoch [1][1400/7330] lr: 1.000e-04, eta: 4 days, 0:36:55, time: 1.281, data_time: 0.025, memory: 62716, loss_rpn_cls: 0.1574, loss_rpn_bbox: 0.0620, loss_semantic_seg: 0.6533, s0.loss_cls: 0.4499, s0.acc: 92.2424, s0.loss_bbox: 0.1592, s0.loss_mask: 0.5356, s1.loss_cls: 0.1484, s1.acc: 95.1599, s1.loss_bbox: 0.0736, s1.loss_mask: 0.2530, s2.loss_cls: 0.0467, s2.acc: 97.2324, s2.loss_bbox: 0.0159, s2.loss_mask: 0.1228, loss: 2.6777 2022-09-12 04:28:56,319 - mmdet - INFO - Epoch [1][1450/7330] lr: 1.000e-04, eta: 4 days, 0:25:45, time: 1.258, data_time: 0.022, memory: 62716, loss_rpn_cls: 0.1438, loss_rpn_bbox: 0.0587, loss_semantic_seg: 0.6575, s0.loss_cls: 0.4266, s0.acc: 92.6035, s0.loss_bbox: 0.1513, s0.loss_mask: 0.5254, s1.loss_cls: 0.1417, s1.acc: 95.3604, s1.loss_bbox: 0.0706, s1.loss_mask: 0.2455, s2.loss_cls: 0.0448, s2.acc: 97.3291, s2.loss_bbox: 0.0156, s2.loss_mask: 0.1189, loss: 2.6005 2022-09-12 04:29:59,912 - mmdet - INFO - Epoch [1][1500/7330] lr: 1.000e-04, eta: 4 days, 0:17:13, time: 1.272, data_time: 0.022, memory: 63048, loss_rpn_cls: 0.1489, loss_rpn_bbox: 0.0641, loss_semantic_seg: 0.6405, s0.loss_cls: 0.4499, s0.acc: 92.1318, s0.loss_bbox: 0.1620, s0.loss_mask: 0.5299, s1.loss_cls: 0.1499, s1.acc: 95.0835, s1.loss_bbox: 0.0754, s1.loss_mask: 0.2506, s2.loss_cls: 0.0473, s2.acc: 97.1582, s2.loss_bbox: 0.0165, s2.loss_mask: 0.1211, loss: 2.6562 2022-09-12 04:31:03,014 - mmdet - INFO - Epoch [1][1550/7330] lr: 1.000e-04, eta: 4 days, 0:07:47, time: 1.262, data_time: 0.020, memory: 63048, loss_rpn_cls: 0.1505, loss_rpn_bbox: 0.0690, loss_semantic_seg: 0.6528, s0.loss_cls: 0.4537, s0.acc: 91.9150, s0.loss_bbox: 0.1665, s0.loss_mask: 0.5304, s1.loss_cls: 0.1514, s1.acc: 94.8384, s1.loss_bbox: 0.0792, s1.loss_mask: 0.2483, s2.loss_cls: 0.0480, s2.acc: 97.0095, s2.loss_bbox: 0.0178, s2.loss_mask: 0.1191, loss: 2.6868 2022-09-12 04:32:06,062 - mmdet - INFO - Epoch [1][1600/7330] lr: 1.000e-04, eta: 3 days, 23:58:43, time: 1.261, data_time: 0.030, memory: 63048, loss_rpn_cls: 0.1401, loss_rpn_bbox: 0.0624, loss_semantic_seg: 0.6446, s0.loss_cls: 0.4483, s0.acc: 92.0286, s0.loss_bbox: 0.1626, s0.loss_mask: 0.5250, s1.loss_cls: 0.1500, s1.acc: 94.9551, s1.loss_bbox: 0.0772, s1.loss_mask: 0.2456, s2.loss_cls: 0.0472, s2.acc: 97.1016, s2.loss_bbox: 0.0173, s2.loss_mask: 0.1186, loss: 2.6389 2022-09-12 04:33:09,167 - mmdet - INFO - Epoch [1][1650/7330] lr: 1.000e-04, eta: 3 days, 23:50:18, time: 1.262, data_time: 0.028, memory: 63048, loss_rpn_cls: 0.1438, loss_rpn_bbox: 0.0655, loss_semantic_seg: 0.6428, s0.loss_cls: 0.4692, s0.acc: 91.5610, s0.loss_bbox: 0.1735, s0.loss_mask: 0.5229, s1.loss_cls: 0.1581, s1.acc: 94.5520, s1.loss_bbox: 0.0854, s1.loss_mask: 0.2459, s2.loss_cls: 0.0494, s2.acc: 96.8347, s2.loss_bbox: 0.0200, s2.loss_mask: 0.1184, loss: 2.6949 2022-09-12 04:34:11,691 - mmdet - INFO - Epoch [1][1700/7330] lr: 1.000e-04, eta: 3 days, 23:40:49, time: 1.251, data_time: 0.030, memory: 63048, loss_rpn_cls: 0.1475, loss_rpn_bbox: 0.0662, loss_semantic_seg: 0.6502, s0.loss_cls: 0.4506, s0.acc: 91.7517, s0.loss_bbox: 0.1677, s0.loss_mask: 0.5241, s1.loss_cls: 0.1514, s1.acc: 94.6631, s1.loss_bbox: 0.0822, s1.loss_mask: 0.2444, s2.loss_cls: 0.0485, s2.acc: 96.8267, s2.loss_bbox: 0.0200, s2.loss_mask: 0.1174, loss: 2.6701 2022-09-12 04:35:14,608 - mmdet - INFO - Epoch [1][1750/7330] lr: 1.000e-04, eta: 3 days, 23:32:46, time: 1.258, data_time: 0.020, memory: 63048, loss_rpn_cls: 0.1317, loss_rpn_bbox: 0.0595, loss_semantic_seg: 0.6305, s0.loss_cls: 0.4452, s0.acc: 91.9465, s0.loss_bbox: 0.1636, s0.loss_mask: 0.5142, s1.loss_cls: 0.1524, s1.acc: 94.6853, s1.loss_bbox: 0.0837, s1.loss_mask: 0.2407, s2.loss_cls: 0.0485, s2.acc: 96.8455, s2.loss_bbox: 0.0207, s2.loss_mask: 0.1151, loss: 2.6059 2022-09-12 04:36:18,711 - mmdet - INFO - Epoch [1][1800/7330] lr: 1.000e-04, eta: 3 days, 23:28:03, time: 1.282, data_time: 0.023, memory: 63048, loss_rpn_cls: 0.1440, loss_rpn_bbox: 0.0641, loss_semantic_seg: 0.6470, s0.loss_cls: 0.4441, s0.acc: 91.8088, s0.loss_bbox: 0.1668, s0.loss_mask: 0.5121, s1.loss_cls: 0.1520, s1.acc: 94.5977, s1.loss_bbox: 0.0836, s1.loss_mask: 0.2392, s2.loss_cls: 0.0491, s2.acc: 96.7722, s2.loss_bbox: 0.0208, s2.loss_mask: 0.1148, loss: 2.6377 2022-09-12 04:37:22,625 - mmdet - INFO - Epoch [1][1850/7330] lr: 1.000e-04, eta: 3 days, 23:23:03, time: 1.278, data_time: 0.030, memory: 63048, loss_rpn_cls: 0.1431, loss_rpn_bbox: 0.0635, loss_semantic_seg: 0.6154, s0.loss_cls: 0.4300, s0.acc: 92.0701, s0.loss_bbox: 0.1597, s0.loss_mask: 0.5101, s1.loss_cls: 0.1486, s1.acc: 94.7153, s1.loss_bbox: 0.0816, s1.loss_mask: 0.2383, s2.loss_cls: 0.0474, s2.acc: 96.8674, s2.loss_bbox: 0.0200, s2.loss_mask: 0.1150, loss: 2.5728 2022-09-12 04:38:26,713 - mmdet - INFO - Epoch [1][1900/7330] lr: 1.000e-04, eta: 3 days, 23:18:33, time: 1.281, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.1392, loss_rpn_bbox: 0.0642, loss_semantic_seg: 0.6179, s0.loss_cls: 0.4331, s0.acc: 91.9170, s0.loss_bbox: 0.1653, s0.loss_mask: 0.5106, s1.loss_cls: 0.1481, s1.acc: 94.6326, s1.loss_bbox: 0.0839, s1.loss_mask: 0.2387, s2.loss_cls: 0.0480, s2.acc: 96.7734, s2.loss_bbox: 0.0209, s2.loss_mask: 0.1141, loss: 2.5841 2022-09-12 04:39:30,403 - mmdet - INFO - Epoch [1][1950/7330] lr: 1.000e-04, eta: 3 days, 23:13:25, time: 1.274, data_time: 0.026, memory: 63048, loss_rpn_cls: 0.1431, loss_rpn_bbox: 0.0596, loss_semantic_seg: 0.6263, s0.loss_cls: 0.4458, s0.acc: 91.9451, s0.loss_bbox: 0.1613, s0.loss_mask: 0.5043, s1.loss_cls: 0.1526, s1.acc: 94.6252, s1.loss_bbox: 0.0821, s1.loss_mask: 0.2337, s2.loss_cls: 0.0493, s2.acc: 96.7485, s2.loss_bbox: 0.0204, s2.loss_mask: 0.1114, loss: 2.5899 2022-09-12 04:40:34,107 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 04:40:34,108 - mmdet - INFO - Epoch [1][2000/7330] lr: 1.000e-04, eta: 3 days, 23:08:40, time: 1.275, data_time: 0.026, memory: 63048, loss_rpn_cls: 0.1338, loss_rpn_bbox: 0.0618, loss_semantic_seg: 0.6239, s0.loss_cls: 0.4419, s0.acc: 91.7122, s0.loss_bbox: 0.1671, s0.loss_mask: 0.5062, s1.loss_cls: 0.1542, s1.acc: 94.3975, s1.loss_bbox: 0.0881, s1.loss_mask: 0.2383, s2.loss_cls: 0.0500, s2.acc: 96.5840, s2.loss_bbox: 0.0231, s2.loss_mask: 0.1139, loss: 2.6022 2022-09-12 04:41:38,831 - mmdet - INFO - Epoch [1][2050/7330] lr: 1.000e-04, eta: 3 days, 23:06:08, time: 1.294, data_time: 0.037, memory: 63048, loss_rpn_cls: 0.1355, loss_rpn_bbox: 0.0610, loss_semantic_seg: 0.6139, s0.loss_cls: 0.4452, s0.acc: 91.7168, s0.loss_bbox: 0.1646, s0.loss_mask: 0.5049, s1.loss_cls: 0.1574, s1.acc: 94.2598, s1.loss_bbox: 0.0899, s1.loss_mask: 0.2353, s2.loss_cls: 0.0511, s2.acc: 96.4902, s2.loss_bbox: 0.0239, s2.loss_mask: 0.1123, loss: 2.5951 2022-09-12 04:42:42,551 - mmdet - INFO - Epoch [1][2100/7330] lr: 1.000e-04, eta: 3 days, 23:01:35, time: 1.274, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.1368, loss_rpn_bbox: 0.0608, loss_semantic_seg: 0.6146, s0.loss_cls: 0.4518, s0.acc: 91.6160, s0.loss_bbox: 0.1707, s0.loss_mask: 0.5037, s1.loss_cls: 0.1548, s1.acc: 94.3855, s1.loss_bbox: 0.0889, s1.loss_mask: 0.2339, s2.loss_cls: 0.0500, s2.acc: 96.6313, s2.loss_bbox: 0.0226, s2.loss_mask: 0.1107, loss: 2.5993 2022-09-12 04:43:46,948 - mmdet - INFO - Epoch [1][2150/7330] lr: 1.000e-04, eta: 3 days, 22:58:28, time: 1.287, data_time: 0.022, memory: 63048, loss_rpn_cls: 0.1505, loss_rpn_bbox: 0.0668, loss_semantic_seg: 0.6253, s0.loss_cls: 0.4652, s0.acc: 91.3982, s0.loss_bbox: 0.1702, s0.loss_mask: 0.5038, s1.loss_cls: 0.1658, s1.acc: 93.9929, s1.loss_bbox: 0.0925, s1.loss_mask: 0.2360, s2.loss_cls: 0.0540, s2.acc: 96.3298, s2.loss_bbox: 0.0241, s2.loss_mask: 0.1121, loss: 2.6661 2022-09-12 04:44:50,919 - mmdet - INFO - Epoch [1][2200/7330] lr: 1.000e-04, eta: 3 days, 22:54:42, time: 1.279, data_time: 0.026, memory: 63048, loss_rpn_cls: 0.1347, loss_rpn_bbox: 0.0608, loss_semantic_seg: 0.6136, s0.loss_cls: 0.4523, s0.acc: 91.3418, s0.loss_bbox: 0.1704, s0.loss_mask: 0.4962, s1.loss_cls: 0.1608, s1.acc: 93.9844, s1.loss_bbox: 0.0938, s1.loss_mask: 0.2297, s2.loss_cls: 0.0532, s2.acc: 96.2124, s2.loss_bbox: 0.0257, s2.loss_mask: 0.1091, loss: 2.6003 2022-09-12 04:45:53,972 - mmdet - INFO - Epoch [1][2250/7330] lr: 1.000e-04, eta: 3 days, 22:49:24, time: 1.262, data_time: 0.019, memory: 63048, loss_rpn_cls: 0.1255, loss_rpn_bbox: 0.0570, loss_semantic_seg: 0.6121, s0.loss_cls: 0.4404, s0.acc: 91.6489, s0.loss_bbox: 0.1661, s0.loss_mask: 0.4992, s1.loss_cls: 0.1566, s1.acc: 94.1929, s1.loss_bbox: 0.0915, s1.loss_mask: 0.2295, s2.loss_cls: 0.0508, s2.acc: 96.4951, s2.loss_bbox: 0.0241, s2.loss_mask: 0.1091, loss: 2.5617 2022-09-12 04:46:57,093 - mmdet - INFO - Epoch [1][2300/7330] lr: 1.000e-04, eta: 3 days, 22:44:19, time: 1.263, data_time: 0.024, memory: 63048, loss_rpn_cls: 0.1307, loss_rpn_bbox: 0.0615, loss_semantic_seg: 0.6138, s0.loss_cls: 0.4471, s0.acc: 91.3523, s0.loss_bbox: 0.1735, s0.loss_mask: 0.4929, s1.loss_cls: 0.1591, s1.acc: 93.9600, s1.loss_bbox: 0.0955, s1.loss_mask: 0.2285, s2.loss_cls: 0.0526, s2.acc: 96.2168, s2.loss_bbox: 0.0270, s2.loss_mask: 0.1095, loss: 2.5917 2022-09-12 04:48:01,085 - mmdet - INFO - Epoch [1][2350/7330] lr: 1.000e-04, eta: 3 days, 22:40:56, time: 1.279, data_time: 0.023, memory: 63048, loss_rpn_cls: 0.1288, loss_rpn_bbox: 0.0586, loss_semantic_seg: 0.5989, s0.loss_cls: 0.4465, s0.acc: 91.2068, s0.loss_bbox: 0.1773, s0.loss_mask: 0.4911, s1.loss_cls: 0.1598, s1.acc: 93.7705, s1.loss_bbox: 0.0986, s1.loss_mask: 0.2278, s2.loss_cls: 0.0526, s2.acc: 96.1357, s2.loss_bbox: 0.0271, s2.loss_mask: 0.1081, loss: 2.5751 2022-09-12 04:49:04,586 - mmdet - INFO - Epoch [1][2400/7330] lr: 1.000e-04, eta: 3 days, 22:36:54, time: 1.271, data_time: 0.027, memory: 63048, loss_rpn_cls: 0.1344, loss_rpn_bbox: 0.0618, loss_semantic_seg: 0.6013, s0.loss_cls: 0.4403, s0.acc: 91.4419, s0.loss_bbox: 0.1684, s0.loss_mask: 0.4936, s1.loss_cls: 0.1570, s1.acc: 93.9858, s1.loss_bbox: 0.0934, s1.loss_mask: 0.2283, s2.loss_cls: 0.0525, s2.acc: 96.1975, s2.loss_bbox: 0.0262, s2.loss_mask: 0.1077, loss: 2.5648 2022-09-12 04:50:07,618 - mmdet - INFO - Epoch [1][2450/7330] lr: 1.000e-04, eta: 3 days, 22:31:58, time: 1.259, data_time: 0.028, memory: 63048, loss_rpn_cls: 0.1237, loss_rpn_bbox: 0.0591, loss_semantic_seg: 0.5881, s0.loss_cls: 0.4438, s0.acc: 91.2935, s0.loss_bbox: 0.1737, s0.loss_mask: 0.4896, s1.loss_cls: 0.1599, s1.acc: 93.7932, s1.loss_bbox: 0.0984, s1.loss_mask: 0.2270, s2.loss_cls: 0.0530, s2.acc: 96.1094, s2.loss_bbox: 0.0278, s2.loss_mask: 0.1081, loss: 2.5520 2022-09-12 04:51:11,406 - mmdet - INFO - Epoch [1][2500/7330] lr: 1.000e-04, eta: 3 days, 22:28:43, time: 1.277, data_time: 0.030, memory: 63048, loss_rpn_cls: 0.1318, loss_rpn_bbox: 0.0640, loss_semantic_seg: 0.6083, s0.loss_cls: 0.4446, s0.acc: 91.2715, s0.loss_bbox: 0.1720, s0.loss_mask: 0.4858, s1.loss_cls: 0.1602, s1.acc: 93.7402, s1.loss_bbox: 0.0990, s1.loss_mask: 0.2253, s2.loss_cls: 0.0535, s2.acc: 95.9939, s2.loss_bbox: 0.0289, s2.loss_mask: 0.1065, loss: 2.5801 2022-09-12 04:52:16,126 - mmdet - INFO - Epoch [1][2550/7330] lr: 1.000e-04, eta: 3 days, 22:27:02, time: 1.294, data_time: 0.026, memory: 63048, loss_rpn_cls: 0.1280, loss_rpn_bbox: 0.0644, loss_semantic_seg: 0.5881, s0.loss_cls: 0.4657, s0.acc: 90.8215, s0.loss_bbox: 0.1782, s0.loss_mask: 0.4804, s1.loss_cls: 0.1702, s1.acc: 93.3899, s1.loss_bbox: 0.1028, s1.loss_mask: 0.2222, s2.loss_cls: 0.0573, s2.acc: 95.7871, s2.loss_bbox: 0.0300, s2.loss_mask: 0.1048, loss: 2.5920 2022-09-12 04:53:20,768 - mmdet - INFO - Epoch [1][2600/7330] lr: 1.000e-04, eta: 3 days, 22:25:16, time: 1.293, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.1287, loss_rpn_bbox: 0.0632, loss_semantic_seg: 0.6048, s0.loss_cls: 0.4387, s0.acc: 91.4417, s0.loss_bbox: 0.1698, s0.loss_mask: 0.4790, s1.loss_cls: 0.1570, s1.acc: 93.9092, s1.loss_bbox: 0.0950, s1.loss_mask: 0.2219, s2.loss_cls: 0.0525, s2.acc: 96.1580, s2.loss_bbox: 0.0268, s2.loss_mask: 0.1046, loss: 2.5418 2022-09-12 04:54:24,623 - mmdet - INFO - Epoch [1][2650/7330] lr: 1.000e-04, eta: 3 days, 22:22:13, time: 1.277, data_time: 0.022, memory: 63048, loss_rpn_cls: 0.1317, loss_rpn_bbox: 0.0632, loss_semantic_seg: 0.6022, s0.loss_cls: 0.4599, s0.acc: 91.0137, s0.loss_bbox: 0.1724, s0.loss_mask: 0.4827, s1.loss_cls: 0.1708, s1.acc: 93.3833, s1.loss_bbox: 0.1016, s1.loss_mask: 0.2225, s2.loss_cls: 0.0585, s2.acc: 95.6975, s2.loss_bbox: 0.0305, s2.loss_mask: 0.1055, loss: 2.6015 2022-09-12 04:55:29,642 - mmdet - INFO - Epoch [1][2700/7330] lr: 1.000e-04, eta: 3 days, 22:21:08, time: 1.300, data_time: 0.023, memory: 63048, loss_rpn_cls: 0.1133, loss_rpn_bbox: 0.0596, loss_semantic_seg: 0.5812, s0.loss_cls: 0.4260, s0.acc: 91.6729, s0.loss_bbox: 0.1589, s0.loss_mask: 0.4685, s1.loss_cls: 0.1598, s1.acc: 93.7568, s1.loss_bbox: 0.0959, s1.loss_mask: 0.2181, s2.loss_cls: 0.0543, s2.acc: 95.9080, s2.loss_bbox: 0.0296, s2.loss_mask: 0.1035, loss: 2.4688 2022-09-12 04:56:34,409 - mmdet - INFO - Epoch [1][2750/7330] lr: 1.000e-04, eta: 3 days, 22:19:32, time: 1.294, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.1179, loss_rpn_bbox: 0.0585, loss_semantic_seg: 0.6017, s0.loss_cls: 0.4514, s0.acc: 90.9067, s0.loss_bbox: 0.1780, s0.loss_mask: 0.4703, s1.loss_cls: 0.1690, s1.acc: 93.2283, s1.loss_bbox: 0.1080, s1.loss_mask: 0.2165, s2.loss_cls: 0.0586, s2.acc: 95.5361, s2.loss_bbox: 0.0334, s2.loss_mask: 0.1024, loss: 2.5656 2022-09-12 04:57:39,437 - mmdet - INFO - Epoch [1][2800/7330] lr: 1.000e-04, eta: 3 days, 22:18:34, time: 1.302, data_time: 0.030, memory: 63048, loss_rpn_cls: 0.1210, loss_rpn_bbox: 0.0627, loss_semantic_seg: 0.5729, s0.loss_cls: 0.4489, s0.acc: 90.8596, s0.loss_bbox: 0.1772, s0.loss_mask: 0.4693, s1.loss_cls: 0.1681, s1.acc: 93.1875, s1.loss_bbox: 0.1077, s1.loss_mask: 0.2168, s2.loss_cls: 0.0583, s2.acc: 95.4392, s2.loss_bbox: 0.0335, s2.loss_mask: 0.1023, loss: 2.5386 2022-09-12 04:58:43,009 - mmdet - INFO - Epoch [1][2850/7330] lr: 1.000e-04, eta: 3 days, 22:15:16, time: 1.271, data_time: 0.019, memory: 63048, loss_rpn_cls: 0.1068, loss_rpn_bbox: 0.0553, loss_semantic_seg: 0.5897, s0.loss_cls: 0.4262, s0.acc: 91.3228, s0.loss_bbox: 0.1690, s0.loss_mask: 0.4561, s1.loss_cls: 0.1599, s1.acc: 93.3330, s1.loss_bbox: 0.1056, s1.loss_mask: 0.2103, s2.loss_cls: 0.0556, s2.acc: 95.5190, s2.loss_bbox: 0.0342, s2.loss_mask: 0.0987, loss: 2.4675 2022-09-12 04:59:47,515 - mmdet - INFO - Epoch [1][2900/7330] lr: 1.000e-04, eta: 3 days, 22:13:22, time: 1.289, data_time: 0.032, memory: 63048, loss_rpn_cls: 0.1137, loss_rpn_bbox: 0.0576, loss_semantic_seg: 0.5756, s0.loss_cls: 0.4544, s0.acc: 90.8025, s0.loss_bbox: 0.1774, s0.loss_mask: 0.4623, s1.loss_cls: 0.1709, s1.acc: 93.0712, s1.loss_bbox: 0.1094, s1.loss_mask: 0.2121, s2.loss_cls: 0.0592, s2.acc: 95.3310, s2.loss_bbox: 0.0347, s2.loss_mask: 0.1001, loss: 2.5273 2022-09-12 05:00:52,619 - mmdet - INFO - Epoch [1][2950/7330] lr: 1.000e-04, eta: 3 days, 22:12:32, time: 1.303, data_time: 0.027, memory: 63048, loss_rpn_cls: 0.1031, loss_rpn_bbox: 0.0576, loss_semantic_seg: 0.5802, s0.loss_cls: 0.4382, s0.acc: 90.9507, s0.loss_bbox: 0.1754, s0.loss_mask: 0.4605, s1.loss_cls: 0.1695, s1.acc: 92.9829, s1.loss_bbox: 0.1138, s1.loss_mask: 0.2112, s2.loss_cls: 0.0597, s2.acc: 95.2014, s2.loss_bbox: 0.0377, s2.loss_mask: 0.0988, loss: 2.5055 2022-09-12 05:01:57,024 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 05:01:57,025 - mmdet - INFO - Epoch [1][3000/7330] lr: 1.000e-04, eta: 3 days, 22:10:36, time: 1.288, data_time: 0.022, memory: 63048, loss_rpn_cls: 0.1104, loss_rpn_bbox: 0.0572, loss_semantic_seg: 0.5735, s0.loss_cls: 0.4458, s0.acc: 90.8237, s0.loss_bbox: 0.1752, s0.loss_mask: 0.4540, s1.loss_cls: 0.1708, s1.acc: 92.9424, s1.loss_bbox: 0.1130, s1.loss_mask: 0.2105, s2.loss_cls: 0.0604, s2.acc: 95.0923, s2.loss_bbox: 0.0381, s2.loss_mask: 0.0988, loss: 2.5078 2022-09-12 05:03:01,932 - mmdet - INFO - Epoch [1][3050/7330] lr: 1.000e-04, eta: 3 days, 22:09:24, time: 1.298, data_time: 0.027, memory: 63048, loss_rpn_cls: 0.1034, loss_rpn_bbox: 0.0536, loss_semantic_seg: 0.5590, s0.loss_cls: 0.4434, s0.acc: 90.7537, s0.loss_bbox: 0.1748, s0.loss_mask: 0.4422, s1.loss_cls: 0.1730, s1.acc: 92.6726, s1.loss_bbox: 0.1159, s1.loss_mask: 0.2046, s2.loss_cls: 0.0613, s2.acc: 94.9586, s2.loss_bbox: 0.0392, s2.loss_mask: 0.0957, loss: 2.4660 2022-09-12 05:04:07,125 - mmdet - INFO - Epoch [1][3100/7330] lr: 1.000e-04, eta: 3 days, 22:08:37, time: 1.304, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.1042, loss_rpn_bbox: 0.0544, loss_semantic_seg: 0.5580, s0.loss_cls: 0.4263, s0.acc: 90.8735, s0.loss_bbox: 0.1748, s0.loss_mask: 0.4346, s1.loss_cls: 0.1672, s1.acc: 92.7898, s1.loss_bbox: 0.1141, s1.loss_mask: 0.2008, s2.loss_cls: 0.0600, s2.acc: 94.9551, s2.loss_bbox: 0.0388, s2.loss_mask: 0.0939, loss: 2.4271 2022-09-12 05:05:11,223 - mmdet - INFO - Epoch [1][3150/7330] lr: 1.000e-04, eta: 3 days, 22:06:20, time: 1.282, data_time: 0.019, memory: 63048, loss_rpn_cls: 0.1077, loss_rpn_bbox: 0.0591, loss_semantic_seg: 0.5441, s0.loss_cls: 0.4229, s0.acc: 90.8684, s0.loss_bbox: 0.1751, s0.loss_mask: 0.4343, s1.loss_cls: 0.1660, s1.acc: 92.7705, s1.loss_bbox: 0.1149, s1.loss_mask: 0.1989, s2.loss_cls: 0.0597, s2.acc: 94.9551, s2.loss_bbox: 0.0388, s2.loss_mask: 0.0928, loss: 2.4142 2022-09-12 05:06:16,683 - mmdet - INFO - Epoch [1][3200/7330] lr: 1.000e-04, eta: 3 days, 22:05:54, time: 1.309, data_time: 0.022, memory: 63048, loss_rpn_cls: 0.1019, loss_rpn_bbox: 0.0581, loss_semantic_seg: 0.5425, s0.loss_cls: 0.4266, s0.acc: 90.7075, s0.loss_bbox: 0.1791, s0.loss_mask: 0.4220, s1.loss_cls: 0.1667, s1.acc: 92.6079, s1.loss_bbox: 0.1195, s1.loss_mask: 0.1924, s2.loss_cls: 0.0604, s2.acc: 94.7342, s2.loss_bbox: 0.0423, s2.loss_mask: 0.0903, loss: 2.4020 2022-09-12 05:07:21,357 - mmdet - INFO - Epoch [1][3250/7330] lr: 1.000e-04, eta: 3 days, 22:04:26, time: 1.294, data_time: 0.024, memory: 63048, loss_rpn_cls: 0.0983, loss_rpn_bbox: 0.0592, loss_semantic_seg: 0.5358, s0.loss_cls: 0.4441, s0.acc: 90.2012, s0.loss_bbox: 0.1874, s0.loss_mask: 0.4210, s1.loss_cls: 0.1754, s1.acc: 92.1403, s1.loss_bbox: 0.1262, s1.loss_mask: 0.1936, s2.loss_cls: 0.0638, s2.acc: 94.2631, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0902, loss: 2.4413 2022-09-12 05:08:26,137 - mmdet - INFO - Epoch [1][3300/7330] lr: 1.000e-04, eta: 3 days, 22:03:06, time: 1.296, data_time: 0.022, memory: 63048, loss_rpn_cls: 0.1112, loss_rpn_bbox: 0.0628, loss_semantic_seg: 0.5347, s0.loss_cls: 0.4458, s0.acc: 90.2534, s0.loss_bbox: 0.1827, s0.loss_mask: 0.4223, s1.loss_cls: 0.1803, s1.acc: 92.0360, s1.loss_bbox: 0.1256, s1.loss_mask: 0.1926, s2.loss_cls: 0.0669, s2.acc: 94.1353, s2.loss_bbox: 0.0458, s2.loss_mask: 0.0896, loss: 2.4603 2022-09-12 05:09:31,348 - mmdet - INFO - Epoch [1][3350/7330] lr: 1.000e-04, eta: 3 days, 22:02:20, time: 1.304, data_time: 0.026, memory: 63048, loss_rpn_cls: 0.0970, loss_rpn_bbox: 0.0567, loss_semantic_seg: 0.5351, s0.loss_cls: 0.4207, s0.acc: 90.6218, s0.loss_bbox: 0.1781, s0.loss_mask: 0.4119, s1.loss_cls: 0.1671, s1.acc: 92.3945, s1.loss_bbox: 0.1217, s1.loss_mask: 0.1884, s2.loss_cls: 0.0630, s2.acc: 94.3033, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0875, loss: 2.3732 2022-09-12 05:10:36,567 - mmdet - INFO - Epoch [1][3400/7330] lr: 1.000e-04, eta: 3 days, 22:01:34, time: 1.304, data_time: 0.028, memory: 63048, loss_rpn_cls: 0.1026, loss_rpn_bbox: 0.0586, loss_semantic_seg: 0.5174, s0.loss_cls: 0.4223, s0.acc: 90.6372, s0.loss_bbox: 0.1759, s0.loss_mask: 0.4203, s1.loss_cls: 0.1697, s1.acc: 92.3755, s1.loss_bbox: 0.1220, s1.loss_mask: 0.1930, s2.loss_cls: 0.0636, s2.acc: 94.3393, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0896, loss: 2.3803 2022-09-12 05:11:42,019 - mmdet - INFO - Epoch [1][3450/7330] lr: 1.000e-04, eta: 3 days, 22:01:05, time: 1.309, data_time: 0.030, memory: 63048, loss_rpn_cls: 0.0942, loss_rpn_bbox: 0.0563, loss_semantic_seg: 0.5144, s0.loss_cls: 0.4337, s0.acc: 90.2144, s0.loss_bbox: 0.1831, s0.loss_mask: 0.4113, s1.loss_cls: 0.1745, s1.acc: 92.0171, s1.loss_bbox: 0.1277, s1.loss_mask: 0.1883, s2.loss_cls: 0.0657, s2.acc: 94.0412, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0879, loss: 2.3856 2022-09-12 05:12:47,173 - mmdet - INFO - Epoch [1][3500/7330] lr: 1.000e-04, eta: 3 days, 22:00:12, time: 1.303, data_time: 0.034, memory: 63048, loss_rpn_cls: 0.0932, loss_rpn_bbox: 0.0591, loss_semantic_seg: 0.5142, s0.loss_cls: 0.4194, s0.acc: 90.5381, s0.loss_bbox: 0.1783, s0.loss_mask: 0.4008, s1.loss_cls: 0.1693, s1.acc: 92.0955, s1.loss_bbox: 0.1282, s1.loss_mask: 0.1836, s2.loss_cls: 0.0645, s2.acc: 93.8856, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0863, loss: 2.3478 2022-09-12 05:13:52,335 - mmdet - INFO - Epoch [1][3550/7330] lr: 1.000e-04, eta: 3 days, 21:59:20, time: 1.303, data_time: 0.026, memory: 63048, loss_rpn_cls: 0.0970, loss_rpn_bbox: 0.0568, loss_semantic_seg: 0.5252, s0.loss_cls: 0.4176, s0.acc: 90.5178, s0.loss_bbox: 0.1779, s0.loss_mask: 0.4073, s1.loss_cls: 0.1694, s1.acc: 92.0562, s1.loss_bbox: 0.1268, s1.loss_mask: 0.1863, s2.loss_cls: 0.0649, s2.acc: 93.9031, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0871, loss: 2.3660 2022-09-12 05:14:57,346 - mmdet - INFO - Epoch [1][3600/7330] lr: 1.000e-04, eta: 3 days, 21:58:17, time: 1.300, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.0945, loss_rpn_bbox: 0.0584, loss_semantic_seg: 0.5001, s0.loss_cls: 0.4140, s0.acc: 90.5671, s0.loss_bbox: 0.1744, s0.loss_mask: 0.4009, s1.loss_cls: 0.1697, s1.acc: 92.1207, s1.loss_bbox: 0.1247, s1.loss_mask: 0.1820, s2.loss_cls: 0.0648, s2.acc: 93.9932, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0853, loss: 2.3175 2022-09-12 05:16:01,905 - mmdet - INFO - Epoch [1][3650/7330] lr: 1.000e-04, eta: 3 days, 21:56:42, time: 1.291, data_time: 0.022, memory: 63048, loss_rpn_cls: 0.0846, loss_rpn_bbox: 0.0541, loss_semantic_seg: 0.4937, s0.loss_cls: 0.4038, s0.acc: 90.5803, s0.loss_bbox: 0.1767, s0.loss_mask: 0.4019, s1.loss_cls: 0.1669, s1.acc: 91.9154, s1.loss_bbox: 0.1297, s1.loss_mask: 0.1834, s2.loss_cls: 0.0653, s2.acc: 93.6122, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0859, loss: 2.2983 2022-09-12 05:17:07,593 - mmdet - INFO - Epoch [1][3700/7330] lr: 1.000e-04, eta: 3 days, 21:56:26, time: 1.314, data_time: 0.028, memory: 63048, loss_rpn_cls: 0.0953, loss_rpn_bbox: 0.0614, loss_semantic_seg: 0.4950, s0.loss_cls: 0.4331, s0.acc: 89.7725, s0.loss_bbox: 0.1900, s0.loss_mask: 0.4026, s1.loss_cls: 0.1770, s1.acc: 91.4243, s1.loss_bbox: 0.1365, s1.loss_mask: 0.1837, s2.loss_cls: 0.0684, s2.acc: 93.3103, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0858, loss: 2.3837 2022-09-12 05:18:12,847 - mmdet - INFO - Epoch [1][3750/7330] lr: 1.000e-04, eta: 3 days, 21:55:40, time: 1.305, data_time: 0.027, memory: 63048, loss_rpn_cls: 0.0927, loss_rpn_bbox: 0.0536, loss_semantic_seg: 0.4965, s0.loss_cls: 0.3939, s0.acc: 90.8906, s0.loss_bbox: 0.1687, s0.loss_mask: 0.3898, s1.loss_cls: 0.1652, s1.acc: 92.2126, s1.loss_bbox: 0.1263, s1.loss_mask: 0.1774, s2.loss_cls: 0.0652, s2.acc: 93.7040, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0836, loss: 2.2663 2022-09-12 05:19:19,312 - mmdet - INFO - Epoch [1][3800/7330] lr: 1.000e-04, eta: 3 days, 21:56:15, time: 1.329, data_time: 0.028, memory: 63048, loss_rpn_cls: 0.0858, loss_rpn_bbox: 0.0554, loss_semantic_seg: 0.4833, s0.loss_cls: 0.4008, s0.acc: 90.5208, s0.loss_bbox: 0.1747, s0.loss_mask: 0.3868, s1.loss_cls: 0.1697, s1.acc: 91.7804, s1.loss_bbox: 0.1302, s1.loss_mask: 0.1763, s2.loss_cls: 0.0679, s2.acc: 93.4667, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0826, loss: 2.2681 2022-09-12 05:20:25,645 - mmdet - INFO - Epoch [1][3850/7330] lr: 1.000e-04, eta: 3 days, 21:56:39, time: 1.327, data_time: 0.021, memory: 63048, loss_rpn_cls: 0.0894, loss_rpn_bbox: 0.0582, loss_semantic_seg: 0.4823, s0.loss_cls: 0.4130, s0.acc: 89.9753, s0.loss_bbox: 0.1848, s0.loss_mask: 0.3849, s1.loss_cls: 0.1745, s1.acc: 91.3143, s1.loss_bbox: 0.1396, s1.loss_mask: 0.1758, s2.loss_cls: 0.0697, s2.acc: 92.9535, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0813, loss: 2.3122 2022-09-12 05:21:31,290 - mmdet - INFO - Epoch [1][3900/7330] lr: 1.000e-04, eta: 3 days, 21:56:15, time: 1.313, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.0831, loss_rpn_bbox: 0.0531, loss_semantic_seg: 0.4992, s0.loss_cls: 0.4059, s0.acc: 90.3760, s0.loss_bbox: 0.1778, s0.loss_mask: 0.3867, s1.loss_cls: 0.1690, s1.acc: 91.8304, s1.loss_bbox: 0.1294, s1.loss_mask: 0.1778, s2.loss_cls: 0.0672, s2.acc: 93.4799, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0820, loss: 2.2859 2022-09-12 05:22:36,423 - mmdet - INFO - Epoch [1][3950/7330] lr: 1.000e-04, eta: 3 days, 21:55:16, time: 1.303, data_time: 0.021, memory: 63048, loss_rpn_cls: 0.0789, loss_rpn_bbox: 0.0525, loss_semantic_seg: 0.4651, s0.loss_cls: 0.3919, s0.acc: 90.5442, s0.loss_bbox: 0.1731, s0.loss_mask: 0.3723, s1.loss_cls: 0.1658, s1.acc: 91.7628, s1.loss_bbox: 0.1323, s1.loss_mask: 0.1695, s2.loss_cls: 0.0668, s2.acc: 93.2803, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0787, loss: 2.2046 2022-09-12 05:23:42,117 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 05:23:42,122 - mmdet - INFO - Epoch [1][4000/7330] lr: 1.000e-04, eta: 3 days, 21:54:48, time: 1.312, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.0849, loss_rpn_bbox: 0.0526, loss_semantic_seg: 0.4978, s0.loss_cls: 0.4175, s0.acc: 89.8997, s0.loss_bbox: 0.1817, s0.loss_mask: 0.3858, s1.loss_cls: 0.1764, s1.acc: 91.2199, s1.loss_bbox: 0.1372, s1.loss_mask: 0.1749, s2.loss_cls: 0.0716, s2.acc: 92.8129, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0812, loss: 2.3207 2022-09-12 05:24:47,557 - mmdet - INFO - Epoch [1][4050/7330] lr: 1.000e-04, eta: 3 days, 21:54:14, time: 1.310, data_time: 0.028, memory: 63048, loss_rpn_cls: 0.0815, loss_rpn_bbox: 0.0522, loss_semantic_seg: 0.4807, s0.loss_cls: 0.4170, s0.acc: 89.9009, s0.loss_bbox: 0.1838, s0.loss_mask: 0.3845, s1.loss_cls: 0.1787, s1.acc: 91.1376, s1.loss_bbox: 0.1399, s1.loss_mask: 0.1747, s2.loss_cls: 0.0723, s2.acc: 92.7855, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0806, loss: 2.3062 2022-09-12 05:25:53,206 - mmdet - INFO - Epoch [1][4100/7330] lr: 1.000e-04, eta: 3 days, 21:53:46, time: 1.313, data_time: 0.027, memory: 63048, loss_rpn_cls: 0.0798, loss_rpn_bbox: 0.0551, loss_semantic_seg: 0.4865, s0.loss_cls: 0.3941, s0.acc: 90.3088, s0.loss_bbox: 0.1743, s0.loss_mask: 0.3772, s1.loss_cls: 0.1699, s1.acc: 91.4507, s1.loss_bbox: 0.1328, s1.loss_mask: 0.1706, s2.loss_cls: 0.0694, s2.acc: 92.9619, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0794, loss: 2.2482 2022-09-12 05:26:57,986 - mmdet - INFO - Epoch [1][4150/7330] lr: 1.000e-04, eta: 3 days, 21:52:24, time: 1.296, data_time: 0.024, memory: 63048, loss_rpn_cls: 0.0998, loss_rpn_bbox: 0.0541, loss_semantic_seg: 0.5294, s0.loss_cls: 0.4052, s0.acc: 90.8955, s0.loss_bbox: 0.1659, s0.loss_mask: 0.4069, s1.loss_cls: 0.1672, s1.acc: 92.2733, s1.loss_bbox: 0.1196, s1.loss_mask: 0.1864, s2.loss_cls: 0.0660, s2.acc: 93.9575, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0874, loss: 2.3365 2022-09-12 05:28:03,241 - mmdet - INFO - Epoch [1][4200/7330] lr: 1.000e-04, eta: 3 days, 21:51:31, time: 1.305, data_time: 0.023, memory: 63048, loss_rpn_cls: 0.1058, loss_rpn_bbox: 0.0567, loss_semantic_seg: 0.5544, s0.loss_cls: 0.4400, s0.acc: 90.5149, s0.loss_bbox: 0.1774, s0.loss_mask: 0.4320, s1.loss_cls: 0.1737, s1.acc: 92.3473, s1.loss_bbox: 0.1194, s1.loss_mask: 0.1967, s2.loss_cls: 0.0651, s2.acc: 94.3200, s2.loss_bbox: 0.0441, s2.loss_mask: 0.0915, loss: 2.4568 2022-09-12 05:29:09,720 - mmdet - INFO - Epoch [1][4250/7330] lr: 1.000e-04, eta: 3 days, 21:51:53, time: 1.330, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.0989, loss_rpn_bbox: 0.0548, loss_semantic_seg: 0.5199, s0.loss_cls: 0.3941, s0.acc: 91.0583, s0.loss_bbox: 0.1630, s0.loss_mask: 0.4031, s1.loss_cls: 0.1614, s1.acc: 92.4569, s1.loss_bbox: 0.1180, s1.loss_mask: 0.1843, s2.loss_cls: 0.0635, s2.acc: 94.0912, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0860, loss: 2.2953 2022-09-12 05:30:16,565 - mmdet - INFO - Epoch [1][4300/7330] lr: 1.000e-04, eta: 3 days, 21:52:23, time: 1.333, data_time: 0.027, memory: 63048, loss_rpn_cls: 0.0975, loss_rpn_bbox: 0.0591, loss_semantic_seg: 0.5069, s0.loss_cls: 0.4045, s0.acc: 90.4568, s0.loss_bbox: 0.1741, s0.loss_mask: 0.4012, s1.loss_cls: 0.1656, s1.acc: 92.0437, s1.loss_bbox: 0.1270, s1.loss_mask: 0.1838, s2.loss_cls: 0.0652, s2.acc: 93.7122, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0849, loss: 2.3217 2022-09-12 05:31:21,427 - mmdet - INFO - Epoch [1][4350/7330] lr: 1.000e-04, eta: 3 days, 21:51:15, time: 1.301, data_time: 0.032, memory: 63048, loss_rpn_cls: 0.0889, loss_rpn_bbox: 0.0537, loss_semantic_seg: 0.5038, s0.loss_cls: 0.4101, s0.acc: 90.5122, s0.loss_bbox: 0.1719, s0.loss_mask: 0.4022, s1.loss_cls: 0.1710, s1.acc: 91.8891, s1.loss_bbox: 0.1259, s1.loss_mask: 0.1826, s2.loss_cls: 0.0676, s2.acc: 93.5989, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0841, loss: 2.3146 2022-09-12 05:32:25,483 - mmdet - INFO - Epoch [1][4400/7330] lr: 1.000e-04, eta: 3 days, 21:49:08, time: 1.281, data_time: 0.024, memory: 63048, loss_rpn_cls: 0.0934, loss_rpn_bbox: 0.0563, loss_semantic_seg: 0.5050, s0.loss_cls: 0.4154, s0.acc: 90.3582, s0.loss_bbox: 0.1775, s0.loss_mask: 0.3959, s1.loss_cls: 0.1706, s1.acc: 91.8262, s1.loss_bbox: 0.1271, s1.loss_mask: 0.1803, s2.loss_cls: 0.0674, s2.acc: 93.5639, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0825, loss: 2.3242 2022-09-12 05:33:31,598 - mmdet - INFO - Epoch [1][4450/7330] lr: 1.000e-04, eta: 3 days, 21:49:04, time: 1.322, data_time: 0.028, memory: 63048, loss_rpn_cls: 0.0922, loss_rpn_bbox: 0.0546, loss_semantic_seg: 0.4939, s0.loss_cls: 0.3882, s0.acc: 90.6914, s0.loss_bbox: 0.1702, s0.loss_mask: 0.3868, s1.loss_cls: 0.1618, s1.acc: 92.0474, s1.loss_bbox: 0.1269, s1.loss_mask: 0.1770, s2.loss_cls: 0.0658, s2.acc: 93.4734, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0824, loss: 2.2539 2022-09-12 05:34:37,504 - mmdet - INFO - Epoch [1][4500/7330] lr: 1.000e-04, eta: 3 days, 21:48:46, time: 1.318, data_time: 0.024, memory: 63048, loss_rpn_cls: 0.0879, loss_rpn_bbox: 0.0573, loss_semantic_seg: 0.4781, s0.loss_cls: 0.3958, s0.acc: 90.2773, s0.loss_bbox: 0.1753, s0.loss_mask: 0.3798, s1.loss_cls: 0.1657, s1.acc: 91.6318, s1.loss_bbox: 0.1309, s1.loss_mask: 0.1721, s2.loss_cls: 0.0676, s2.acc: 93.1933, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0795, loss: 2.2480 2022-09-12 05:35:43,577 - mmdet - INFO - Epoch [1][4550/7330] lr: 1.000e-04, eta: 3 days, 21:48:36, time: 1.321, data_time: 0.027, memory: 63048, loss_rpn_cls: 0.0839, loss_rpn_bbox: 0.0545, loss_semantic_seg: 0.4734, s0.loss_cls: 0.3983, s0.acc: 90.2556, s0.loss_bbox: 0.1777, s0.loss_mask: 0.3766, s1.loss_cls: 0.1692, s1.acc: 91.4345, s1.loss_bbox: 0.1353, s1.loss_mask: 0.1713, s2.loss_cls: 0.0689, s2.acc: 92.9979, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0790, loss: 2.2460 2022-09-12 05:36:51,521 - mmdet - INFO - Epoch [1][4600/7330] lr: 1.000e-04, eta: 3 days, 21:50:10, time: 1.359, data_time: 0.034, memory: 63048, loss_rpn_cls: 0.0858, loss_rpn_bbox: 0.0573, loss_semantic_seg: 0.4702, s0.loss_cls: 0.3910, s0.acc: 90.2356, s0.loss_bbox: 0.1756, s0.loss_mask: 0.3724, s1.loss_cls: 0.1684, s1.acc: 91.3802, s1.loss_bbox: 0.1349, s1.loss_mask: 0.1694, s2.loss_cls: 0.0699, s2.acc: 92.7948, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0783, loss: 2.2330 2022-09-12 05:37:57,770 - mmdet - INFO - Epoch [1][4650/7330] lr: 1.000e-04, eta: 3 days, 21:50:07, time: 1.325, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.0796, loss_rpn_bbox: 0.0512, loss_semantic_seg: 0.4754, s0.loss_cls: 0.3879, s0.acc: 90.2622, s0.loss_bbox: 0.1733, s0.loss_mask: 0.3677, s1.loss_cls: 0.1672, s1.acc: 91.3405, s1.loss_bbox: 0.1363, s1.loss_mask: 0.1679, s2.loss_cls: 0.0697, s2.acc: 92.7270, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0773, loss: 2.2158 2022-09-12 05:39:02,487 - mmdet - INFO - Epoch [1][4700/7330] lr: 1.000e-04, eta: 3 days, 21:48:37, time: 1.294, data_time: 0.020, memory: 63048, loss_rpn_cls: 0.0796, loss_rpn_bbox: 0.0537, loss_semantic_seg: 0.4641, s0.loss_cls: 0.3776, s0.acc: 90.5518, s0.loss_bbox: 0.1710, s0.loss_mask: 0.3645, s1.loss_cls: 0.1631, s1.acc: 91.6367, s1.loss_bbox: 0.1327, s1.loss_mask: 0.1650, s2.loss_cls: 0.0670, s2.acc: 93.0302, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0761, loss: 2.1745 2022-09-12 05:40:10,207 - mmdet - INFO - Epoch [1][4750/7330] lr: 1.000e-04, eta: 3 days, 21:49:52, time: 1.354, data_time: 0.018, memory: 63048, loss_rpn_cls: 0.0797, loss_rpn_bbox: 0.0531, loss_semantic_seg: 0.4537, s0.loss_cls: 0.3930, s0.acc: 90.0623, s0.loss_bbox: 0.1805, s0.loss_mask: 0.3743, s1.loss_cls: 0.1694, s1.acc: 91.2485, s1.loss_bbox: 0.1386, s1.loss_mask: 0.1687, s2.loss_cls: 0.0698, s2.acc: 92.6858, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0776, loss: 2.2204 2022-09-12 05:41:16,858 - mmdet - INFO - Epoch [1][4800/7330] lr: 1.000e-04, eta: 3 days, 21:50:07, time: 1.333, data_time: 0.020, memory: 63048, loss_rpn_cls: 0.0770, loss_rpn_bbox: 0.0525, loss_semantic_seg: 0.4478, s0.loss_cls: 0.3934, s0.acc: 90.0276, s0.loss_bbox: 0.1781, s0.loss_mask: 0.3602, s1.loss_cls: 0.1701, s1.acc: 91.0983, s1.loss_bbox: 0.1409, s1.loss_mask: 0.1643, s2.loss_cls: 0.0722, s2.acc: 92.3340, s2.loss_bbox: 0.0657, s2.loss_mask: 0.0764, loss: 2.1986 2022-09-12 05:42:22,929 - mmdet - INFO - Epoch [1][4850/7330] lr: 1.000e-04, eta: 3 days, 21:49:48, time: 1.321, data_time: 0.025, memory: 63048, loss_rpn_cls: 0.0765, loss_rpn_bbox: 0.0491, loss_semantic_seg: 0.4569, s0.loss_cls: 0.3727, s0.acc: 90.3772, s0.loss_bbox: 0.1736, s0.loss_mask: 0.3621, s1.loss_cls: 0.1620, s1.acc: 91.4380, s1.loss_bbox: 0.1362, s1.loss_mask: 0.1667, s2.loss_cls: 0.0675, s2.acc: 92.7294, s2.loss_bbox: 0.0625, s2.loss_mask: 0.0777, loss: 2.1635 2022-09-12 05:43:28,459 - mmdet - INFO - Epoch [1][4900/7330] lr: 1.000e-04, eta: 3 days, 21:48:59, time: 1.310, data_time: 0.019, memory: 63048, loss_rpn_cls: 0.0749, loss_rpn_bbox: 0.0505, loss_semantic_seg: 0.4521, s0.loss_cls: 0.3719, s0.acc: 90.5649, s0.loss_bbox: 0.1656, s0.loss_mask: 0.3674, s1.loss_cls: 0.1615, s1.acc: 91.4703, s1.loss_bbox: 0.1317, s1.loss_mask: 0.1665, s2.loss_cls: 0.0686, s2.acc: 92.7054, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0772, loss: 2.1490 2022-09-12 05:44:34,576 - mmdet - INFO - Epoch [1][4950/7330] lr: 1.000e-04, eta: 3 days, 21:48:38, time: 1.321, data_time: 0.026, memory: 63455, loss_rpn_cls: 0.0825, loss_rpn_bbox: 0.0576, loss_semantic_seg: 0.4449, s0.loss_cls: 0.4006, s0.acc: 89.9099, s0.loss_bbox: 0.1781, s0.loss_mask: 0.3635, s1.loss_cls: 0.1753, s1.acc: 90.8001, s1.loss_bbox: 0.1421, s1.loss_mask: 0.1648, s2.loss_cls: 0.0741, s2.acc: 92.1726, s2.loss_bbox: 0.0664, s2.loss_mask: 0.0758, loss: 2.2257 2022-09-12 05:45:40,672 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 05:45:40,678 - mmdet - INFO - Epoch [1][5000/7330] lr: 1.000e-04, eta: 3 days, 21:48:23, time: 1.324, data_time: 0.020, memory: 63455, loss_rpn_cls: 0.0702, loss_rpn_bbox: 0.0524, loss_semantic_seg: 0.4427, s0.loss_cls: 0.3850, s0.acc: 90.0547, s0.loss_bbox: 0.1771, s0.loss_mask: 0.3572, s1.loss_cls: 0.1672, s1.acc: 91.0646, s1.loss_bbox: 0.1412, s1.loss_mask: 0.1608, s2.loss_cls: 0.0711, s2.acc: 92.3148, s2.loss_bbox: 0.0660, s2.loss_mask: 0.0731, loss: 2.1640 2022-09-12 05:46:46,561 - mmdet - INFO - Epoch [1][5050/7330] lr: 1.000e-04, eta: 3 days, 21:47:52, time: 1.318, data_time: 0.025, memory: 63455, loss_rpn_cls: 0.0741, loss_rpn_bbox: 0.0511, loss_semantic_seg: 0.4395, s0.loss_cls: 0.3803, s0.acc: 90.1147, s0.loss_bbox: 0.1743, s0.loss_mask: 0.3558, s1.loss_cls: 0.1666, s1.acc: 91.1078, s1.loss_bbox: 0.1393, s1.loss_mask: 0.1616, s2.loss_cls: 0.0710, s2.acc: 92.2672, s2.loss_bbox: 0.0670, s2.loss_mask: 0.0753, loss: 2.1560 2022-09-12 05:47:52,531 - mmdet - INFO - Epoch [1][5100/7330] lr: 1.000e-04, eta: 3 days, 21:47:24, time: 1.319, data_time: 0.025, memory: 63455, loss_rpn_cls: 0.0801, loss_rpn_bbox: 0.0531, loss_semantic_seg: 0.4428, s0.loss_cls: 0.3878, s0.acc: 90.0576, s0.loss_bbox: 0.1765, s0.loss_mask: 0.3670, s1.loss_cls: 0.1665, s1.acc: 91.1364, s1.loss_bbox: 0.1402, s1.loss_mask: 0.1686, s2.loss_cls: 0.0706, s2.acc: 92.4119, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0783, loss: 2.1964 2022-09-12 05:48:59,430 - mmdet - INFO - Epoch [1][5150/7330] lr: 1.000e-04, eta: 3 days, 21:47:42, time: 1.338, data_time: 0.026, memory: 63455, loss_rpn_cls: 0.0743, loss_rpn_bbox: 0.0540, loss_semantic_seg: 0.4392, s0.loss_cls: 0.3772, s0.acc: 90.1501, s0.loss_bbox: 0.1707, s0.loss_mask: 0.3473, s1.loss_cls: 0.1653, s1.acc: 91.0372, s1.loss_bbox: 0.1385, s1.loss_mask: 0.1583, s2.loss_cls: 0.0721, s2.acc: 92.0525, s2.loss_bbox: 0.0672, s2.loss_mask: 0.0732, loss: 2.1373 2022-09-12 05:50:06,451 - mmdet - INFO - Epoch [1][5200/7330] lr: 1.000e-04, eta: 3 days, 21:48:05, time: 1.341, data_time: 0.024, memory: 63455, loss_rpn_cls: 0.0748, loss_rpn_bbox: 0.0525, loss_semantic_seg: 0.4226, s0.loss_cls: 0.3729, s0.acc: 90.1213, s0.loss_bbox: 0.1765, s0.loss_mask: 0.3575, s1.loss_cls: 0.1652, s1.acc: 90.9702, s1.loss_bbox: 0.1436, s1.loss_mask: 0.1610, s2.loss_cls: 0.0700, s2.acc: 92.3007, s2.loss_bbox: 0.0665, s2.loss_mask: 0.0735, loss: 2.1366 2022-09-12 05:51:13,022 - mmdet - INFO - Epoch [1][5250/7330] lr: 1.000e-04, eta: 3 days, 21:48:04, time: 1.331, data_time: 0.022, memory: 63455, loss_rpn_cls: 0.0760, loss_rpn_bbox: 0.0536, loss_semantic_seg: 0.4278, s0.loss_cls: 0.3725, s0.acc: 90.0591, s0.loss_bbox: 0.1785, s0.loss_mask: 0.3483, s1.loss_cls: 0.1624, s1.acc: 91.0727, s1.loss_bbox: 0.1427, s1.loss_mask: 0.1582, s2.loss_cls: 0.0694, s2.acc: 92.2843, s2.loss_bbox: 0.0666, s2.loss_mask: 0.0725, loss: 2.1286 2022-09-12 05:52:19,732 - mmdet - INFO - Epoch [1][5300/7330] lr: 1.000e-04, eta: 3 days, 21:48:08, time: 1.334, data_time: 0.032, memory: 63455, loss_rpn_cls: 0.0745, loss_rpn_bbox: 0.0519, loss_semantic_seg: 0.4238, s0.loss_cls: 0.3706, s0.acc: 90.2742, s0.loss_bbox: 0.1695, s0.loss_mask: 0.3431, s1.loss_cls: 0.1636, s1.acc: 91.1900, s1.loss_bbox: 0.1373, s1.loss_mask: 0.1576, s2.loss_cls: 0.0712, s2.acc: 92.1798, s2.loss_bbox: 0.0666, s2.loss_mask: 0.0726, loss: 2.1023 2022-09-12 05:53:26,160 - mmdet - INFO - Epoch [1][5350/7330] lr: 1.000e-04, eta: 3 days, 21:47:57, time: 1.329, data_time: 0.026, memory: 63455, loss_rpn_cls: 0.0701, loss_rpn_bbox: 0.0494, loss_semantic_seg: 0.4312, s0.loss_cls: 0.3624, s0.acc: 90.2100, s0.loss_bbox: 0.1715, s0.loss_mask: 0.3403, s1.loss_cls: 0.1611, s1.acc: 91.1181, s1.loss_bbox: 0.1381, s1.loss_mask: 0.1530, s2.loss_cls: 0.0707, s2.acc: 92.0940, s2.loss_bbox: 0.0665, s2.loss_mask: 0.0709, loss: 2.0853 2022-09-12 05:54:33,176 - mmdet - INFO - Epoch [1][5400/7330] lr: 1.000e-04, eta: 3 days, 21:48:14, time: 1.340, data_time: 0.034, memory: 63455, loss_rpn_cls: 0.0782, loss_rpn_bbox: 0.0541, loss_semantic_seg: 0.4263, s0.loss_cls: 0.3710, s0.acc: 89.9478, s0.loss_bbox: 0.1796, s0.loss_mask: 0.3458, s1.loss_cls: 0.1629, s1.acc: 90.9779, s1.loss_bbox: 0.1443, s1.loss_mask: 0.1581, s2.loss_cls: 0.0700, s2.acc: 92.1192, s2.loss_bbox: 0.0682, s2.loss_mask: 0.0731, loss: 2.1317 2022-09-12 05:55:39,889 - mmdet - INFO - Epoch [1][5450/7330] lr: 1.000e-04, eta: 3 days, 21:48:15, time: 1.334, data_time: 0.025, memory: 63455, loss_rpn_cls: 0.0735, loss_rpn_bbox: 0.0514, loss_semantic_seg: 0.4257, s0.loss_cls: 0.3512, s0.acc: 90.4685, s0.loss_bbox: 0.1681, s0.loss_mask: 0.3500, s1.loss_cls: 0.1536, s1.acc: 91.4513, s1.loss_bbox: 0.1358, s1.loss_mask: 0.1596, s2.loss_cls: 0.0665, s2.acc: 92.4655, s2.loss_bbox: 0.0654, s2.loss_mask: 0.0736, loss: 2.0745 2022-09-12 05:56:46,902 - mmdet - INFO - Epoch [1][5500/7330] lr: 1.000e-04, eta: 3 days, 21:48:28, time: 1.340, data_time: 0.033, memory: 63455, loss_rpn_cls: 0.0694, loss_rpn_bbox: 0.0513, loss_semantic_seg: 0.4210, s0.loss_cls: 0.3507, s0.acc: 90.5464, s0.loss_bbox: 0.1676, s0.loss_mask: 0.3347, s1.loss_cls: 0.1550, s1.acc: 91.3899, s1.loss_bbox: 0.1361, s1.loss_mask: 0.1524, s2.loss_cls: 0.0679, s2.acc: 92.2434, s2.loss_bbox: 0.0672, s2.loss_mask: 0.0705, loss: 2.0438 2022-09-12 05:57:53,941 - mmdet - INFO - Epoch [1][5550/7330] lr: 1.000e-04, eta: 3 days, 21:48:37, time: 1.339, data_time: 0.019, memory: 63737, loss_rpn_cls: 0.0766, loss_rpn_bbox: 0.0546, loss_semantic_seg: 0.4170, s0.loss_cls: 0.3650, s0.acc: 90.1702, s0.loss_bbox: 0.1701, s0.loss_mask: 0.3456, s1.loss_cls: 0.1605, s1.acc: 91.1160, s1.loss_bbox: 0.1371, s1.loss_mask: 0.1561, s2.loss_cls: 0.0702, s2.acc: 92.0506, s2.loss_bbox: 0.0670, s2.loss_mask: 0.0722, loss: 2.0918 2022-09-12 05:59:01,252 - mmdet - INFO - Epoch [1][5600/7330] lr: 1.000e-04, eta: 3 days, 21:49:03, time: 1.347, data_time: 0.031, memory: 63737, loss_rpn_cls: 0.0757, loss_rpn_bbox: 0.0554, loss_semantic_seg: 0.4182, s0.loss_cls: 0.3691, s0.acc: 89.9136, s0.loss_bbox: 0.1718, s0.loss_mask: 0.3403, s1.loss_cls: 0.1640, s1.acc: 90.7761, s1.loss_bbox: 0.1409, s1.loss_mask: 0.1537, s2.loss_cls: 0.0717, s2.acc: 91.7865, s2.loss_bbox: 0.0698, s2.loss_mask: 0.0715, loss: 2.1020 2022-09-12 06:00:11,024 - mmdet - INFO - Epoch [1][5650/7330] lr: 1.000e-04, eta: 3 days, 21:51:21, time: 1.397, data_time: 0.033, memory: 63737, loss_rpn_cls: 0.0709, loss_rpn_bbox: 0.0521, loss_semantic_seg: 0.4191, s0.loss_cls: 0.3600, s0.acc: 90.1868, s0.loss_bbox: 0.1711, s0.loss_mask: 0.3393, s1.loss_cls: 0.1593, s1.acc: 90.9957, s1.loss_bbox: 0.1415, s1.loss_mask: 0.1546, s2.loss_cls: 0.0703, s2.acc: 91.9422, s2.loss_bbox: 0.0699, s2.loss_mask: 0.0708, loss: 2.0792 2022-09-12 06:01:17,330 - mmdet - INFO - Epoch [1][5700/7330] lr: 1.000e-04, eta: 3 days, 21:50:55, time: 1.326, data_time: 0.027, memory: 63737, loss_rpn_cls: 0.0725, loss_rpn_bbox: 0.0526, loss_semantic_seg: 0.4069, s0.loss_cls: 0.3660, s0.acc: 89.9661, s0.loss_bbox: 0.1724, s0.loss_mask: 0.3465, s1.loss_cls: 0.1628, s1.acc: 90.8428, s1.loss_bbox: 0.1413, s1.loss_mask: 0.1580, s2.loss_cls: 0.0712, s2.acc: 91.9633, s2.loss_bbox: 0.0679, s2.loss_mask: 0.0730, loss: 2.0912 2022-09-12 06:02:23,975 - mmdet - INFO - Epoch [1][5750/7330] lr: 1.000e-04, eta: 3 days, 21:50:44, time: 1.333, data_time: 0.021, memory: 63737, loss_rpn_cls: 0.0686, loss_rpn_bbox: 0.0491, loss_semantic_seg: 0.4194, s0.loss_cls: 0.3459, s0.acc: 90.6660, s0.loss_bbox: 0.1622, s0.loss_mask: 0.3396, s1.loss_cls: 0.1534, s1.acc: 91.4300, s1.loss_bbox: 0.1366, s1.loss_mask: 0.1542, s2.loss_cls: 0.0671, s2.acc: 92.4503, s2.loss_bbox: 0.0683, s2.loss_mask: 0.0711, loss: 2.0356 2022-09-12 06:03:31,081 - mmdet - INFO - Epoch [1][5800/7330] lr: 1.000e-04, eta: 3 days, 21:50:53, time: 1.342, data_time: 0.027, memory: 63737, loss_rpn_cls: 0.0727, loss_rpn_bbox: 0.0524, loss_semantic_seg: 0.3978, s0.loss_cls: 0.3636, s0.acc: 90.0356, s0.loss_bbox: 0.1727, s0.loss_mask: 0.3303, s1.loss_cls: 0.1632, s1.acc: 90.8101, s1.loss_bbox: 0.1443, s1.loss_mask: 0.1486, s2.loss_cls: 0.0719, s2.acc: 91.7756, s2.loss_bbox: 0.0717, s2.loss_mask: 0.0679, loss: 2.0570 2022-09-12 06:04:37,366 - mmdet - INFO - Epoch [1][5850/7330] lr: 1.000e-04, eta: 3 days, 21:50:24, time: 1.326, data_time: 0.025, memory: 63737, loss_rpn_cls: 0.0682, loss_rpn_bbox: 0.0494, loss_semantic_seg: 0.4201, s0.loss_cls: 0.3530, s0.acc: 90.3694, s0.loss_bbox: 0.1703, s0.loss_mask: 0.3375, s1.loss_cls: 0.1571, s1.acc: 91.2308, s1.loss_bbox: 0.1389, s1.loss_mask: 0.1535, s2.loss_cls: 0.0688, s2.acc: 92.1588, s2.loss_bbox: 0.0675, s2.loss_mask: 0.0704, loss: 2.0546 2022-09-12 06:05:43,568 - mmdet - INFO - Epoch [1][5900/7330] lr: 1.000e-04, eta: 3 days, 21:49:50, time: 1.324, data_time: 0.023, memory: 63737, loss_rpn_cls: 0.0641, loss_rpn_bbox: 0.0482, loss_semantic_seg: 0.4050, s0.loss_cls: 0.3464, s0.acc: 90.6033, s0.loss_bbox: 0.1598, s0.loss_mask: 0.3337, s1.loss_cls: 0.1528, s1.acc: 91.4947, s1.loss_bbox: 0.1348, s1.loss_mask: 0.1512, s2.loss_cls: 0.0682, s2.acc: 92.3292, s2.loss_bbox: 0.0687, s2.loss_mask: 0.0694, loss: 2.0024 2022-09-12 06:06:49,903 - mmdet - INFO - Epoch [1][5950/7330] lr: 1.000e-04, eta: 3 days, 21:49:23, time: 1.327, data_time: 0.021, memory: 63737, loss_rpn_cls: 0.0725, loss_rpn_bbox: 0.0549, loss_semantic_seg: 0.4043, s0.loss_cls: 0.3425, s0.acc: 90.4360, s0.loss_bbox: 0.1665, s0.loss_mask: 0.3254, s1.loss_cls: 0.1545, s1.acc: 91.1666, s1.loss_bbox: 0.1390, s1.loss_mask: 0.1478, s2.loss_cls: 0.0689, s2.acc: 91.9309, s2.loss_bbox: 0.0695, s2.loss_mask: 0.0683, loss: 2.0142 2022-09-12 06:07:57,991 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 06:07:57,998 - mmdet - INFO - Epoch [1][6000/7330] lr: 1.000e-04, eta: 3 days, 21:50:10, time: 1.362, data_time: 0.019, memory: 63739, loss_rpn_cls: 0.0662, loss_rpn_bbox: 0.0521, loss_semantic_seg: 0.4019, s0.loss_cls: 0.3500, s0.acc: 90.1992, s0.loss_bbox: 0.1664, s0.loss_mask: 0.3222, s1.loss_cls: 0.1570, s1.acc: 90.9078, s1.loss_bbox: 0.1410, s1.loss_mask: 0.1456, s2.loss_cls: 0.0705, s2.acc: 91.8241, s2.loss_bbox: 0.0732, s2.loss_mask: 0.0669, loss: 2.0129 2022-09-12 06:09:05,665 - mmdet - INFO - Epoch [1][6050/7330] lr: 1.000e-04, eta: 3 days, 21:50:37, time: 1.353, data_time: 0.023, memory: 63739, loss_rpn_cls: 0.0668, loss_rpn_bbox: 0.0490, loss_semantic_seg: 0.3911, s0.loss_cls: 0.3574, s0.acc: 90.0571, s0.loss_bbox: 0.1724, s0.loss_mask: 0.3208, s1.loss_cls: 0.1605, s1.acc: 90.9117, s1.loss_bbox: 0.1443, s1.loss_mask: 0.1458, s2.loss_cls: 0.0722, s2.acc: 91.7250, s2.loss_bbox: 0.0726, s2.loss_mask: 0.0670, loss: 2.0200 2022-09-12 06:10:12,816 - mmdet - INFO - Epoch [1][6100/7330] lr: 1.000e-04, eta: 3 days, 21:50:41, time: 1.343, data_time: 0.017, memory: 63739, loss_rpn_cls: 0.0692, loss_rpn_bbox: 0.0544, loss_semantic_seg: 0.4079, s0.loss_cls: 0.3483, s0.acc: 90.3997, s0.loss_bbox: 0.1643, s0.loss_mask: 0.3236, s1.loss_cls: 0.1562, s1.acc: 91.1726, s1.loss_bbox: 0.1396, s1.loss_mask: 0.1472, s2.loss_cls: 0.0695, s2.acc: 91.9463, s2.loss_bbox: 0.0704, s2.loss_mask: 0.0676, loss: 2.0182 2022-09-12 06:11:19,000 - mmdet - INFO - Epoch [1][6150/7330] lr: 1.000e-04, eta: 3 days, 21:50:02, time: 1.324, data_time: 0.022, memory: 63739, loss_rpn_cls: 0.0649, loss_rpn_bbox: 0.0471, loss_semantic_seg: 0.4035, s0.loss_cls: 0.3218, s0.acc: 91.0747, s0.loss_bbox: 0.1540, s0.loss_mask: 0.3210, s1.loss_cls: 0.1425, s1.acc: 91.8841, s1.loss_bbox: 0.1268, s1.loss_mask: 0.1465, s2.loss_cls: 0.0641, s2.acc: 92.5319, s2.loss_bbox: 0.0649, s2.loss_mask: 0.0681, loss: 1.9252 2022-09-12 06:12:26,309 - mmdet - INFO - Epoch [1][6200/7330] lr: 1.000e-04, eta: 3 days, 21:50:10, time: 1.346, data_time: 0.023, memory: 63739, loss_rpn_cls: 0.0636, loss_rpn_bbox: 0.0489, loss_semantic_seg: 0.3860, s0.loss_cls: 0.3421, s0.acc: 90.2773, s0.loss_bbox: 0.1679, s0.loss_mask: 0.3261, s1.loss_cls: 0.1529, s1.acc: 91.0386, s1.loss_bbox: 0.1421, s1.loss_mask: 0.1483, s2.loss_cls: 0.0690, s2.acc: 91.7842, s2.loss_bbox: 0.0742, s2.loss_mask: 0.0686, loss: 1.9897 2022-09-12 06:13:33,465 - mmdet - INFO - Epoch [1][6250/7330] lr: 1.000e-04, eta: 3 days, 21:50:11, time: 1.343, data_time: 0.023, memory: 63941, loss_rpn_cls: 0.0648, loss_rpn_bbox: 0.0498, loss_semantic_seg: 0.3831, s0.loss_cls: 0.3380, s0.acc: 90.5986, s0.loss_bbox: 0.1631, s0.loss_mask: 0.3204, s1.loss_cls: 0.1523, s1.acc: 91.2652, s1.loss_bbox: 0.1410, s1.loss_mask: 0.1444, s2.loss_cls: 0.0678, s2.acc: 92.0361, s2.loss_bbox: 0.0723, s2.loss_mask: 0.0664, loss: 1.9632 2022-09-12 06:14:40,552 - mmdet - INFO - Epoch [1][6300/7330] lr: 1.000e-04, eta: 3 days, 21:50:03, time: 1.339, data_time: 0.021, memory: 63941, loss_rpn_cls: 0.0696, loss_rpn_bbox: 0.0488, loss_semantic_seg: 0.4013, s0.loss_cls: 0.3363, s0.acc: 90.5718, s0.loss_bbox: 0.1570, s0.loss_mask: 0.3230, s1.loss_cls: 0.1527, s1.acc: 91.2584, s1.loss_bbox: 0.1334, s1.loss_mask: 0.1460, s2.loss_cls: 0.0695, s2.acc: 91.8558, s2.loss_bbox: 0.0676, s2.loss_mask: 0.0676, loss: 1.9729 2022-09-12 06:15:47,580 - mmdet - INFO - Epoch [1][6350/7330] lr: 1.000e-04, eta: 3 days, 21:50:01, time: 1.343, data_time: 0.030, memory: 63941, loss_rpn_cls: 0.0655, loss_rpn_bbox: 0.0516, loss_semantic_seg: 0.3929, s0.loss_cls: 0.3451, s0.acc: 90.3960, s0.loss_bbox: 0.1654, s0.loss_mask: 0.3258, s1.loss_cls: 0.1565, s1.acc: 91.0079, s1.loss_bbox: 0.1404, s1.loss_mask: 0.1476, s2.loss_cls: 0.0694, s2.acc: 91.9153, s2.loss_bbox: 0.0701, s2.loss_mask: 0.0679, loss: 1.9981 2022-09-12 06:16:53,568 - mmdet - INFO - Epoch [1][6400/7330] lr: 1.000e-04, eta: 3 days, 21:49:12, time: 1.320, data_time: 0.021, memory: 63941, loss_rpn_cls: 0.0632, loss_rpn_bbox: 0.0458, loss_semantic_seg: 0.3951, s0.loss_cls: 0.3255, s0.acc: 90.8040, s0.loss_bbox: 0.1583, s0.loss_mask: 0.3189, s1.loss_cls: 0.1471, s1.acc: 91.4539, s1.loss_bbox: 0.1322, s1.loss_mask: 0.1444, s2.loss_cls: 0.0660, s2.acc: 92.2627, s2.loss_bbox: 0.0673, s2.loss_mask: 0.0669, loss: 1.9307 2022-09-12 06:18:01,033 - mmdet - INFO - Epoch [1][6450/7330] lr: 1.000e-04, eta: 3 days, 21:49:19, time: 1.348, data_time: 0.021, memory: 63941, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0466, loss_semantic_seg: 0.3858, s0.loss_cls: 0.3319, s0.acc: 90.7856, s0.loss_bbox: 0.1554, s0.loss_mask: 0.3194, s1.loss_cls: 0.1507, s1.acc: 91.4667, s1.loss_bbox: 0.1329, s1.loss_mask: 0.1443, s2.loss_cls: 0.0680, s2.acc: 92.1592, s2.loss_bbox: 0.0693, s2.loss_mask: 0.0665, loss: 1.9294 2022-09-12 06:19:07,717 - mmdet - INFO - Epoch [1][6500/7330] lr: 1.000e-04, eta: 3 days, 21:48:59, time: 1.335, data_time: 0.026, memory: 63941, loss_rpn_cls: 0.0665, loss_rpn_bbox: 0.0482, loss_semantic_seg: 0.3890, s0.loss_cls: 0.3315, s0.acc: 90.4697, s0.loss_bbox: 0.1627, s0.loss_mask: 0.3205, s1.loss_cls: 0.1516, s1.acc: 91.0773, s1.loss_bbox: 0.1394, s1.loss_mask: 0.1467, s2.loss_cls: 0.0679, s2.acc: 91.8266, s2.loss_bbox: 0.0704, s2.loss_mask: 0.0669, loss: 1.9612 2022-09-12 06:20:13,804 - mmdet - INFO - Epoch [1][6550/7330] lr: 1.000e-04, eta: 3 days, 21:48:11, time: 1.321, data_time: 0.021, memory: 64158, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0482, loss_semantic_seg: 0.3818, s0.loss_cls: 0.3380, s0.acc: 90.3301, s0.loss_bbox: 0.1627, s0.loss_mask: 0.3166, s1.loss_cls: 0.1559, s1.acc: 90.8958, s1.loss_bbox: 0.1433, s1.loss_mask: 0.1437, s2.loss_cls: 0.0716, s2.acc: 91.4211, s2.loss_bbox: 0.0735, s2.loss_mask: 0.0658, loss: 1.9612 2022-09-12 06:21:21,142 - mmdet - INFO - Epoch [1][6600/7330] lr: 1.000e-04, eta: 3 days, 21:48:13, time: 1.347, data_time: 0.020, memory: 64158, loss_rpn_cls: 0.0663, loss_rpn_bbox: 0.0510, loss_semantic_seg: 0.3867, s0.loss_cls: 0.3472, s0.acc: 90.3240, s0.loss_bbox: 0.1597, s0.loss_mask: 0.3155, s1.loss_cls: 0.1589, s1.acc: 91.0024, s1.loss_bbox: 0.1362, s1.loss_mask: 0.1440, s2.loss_cls: 0.0708, s2.acc: 91.8158, s2.loss_bbox: 0.0700, s2.loss_mask: 0.0667, loss: 1.9729 2022-09-12 06:22:29,244 - mmdet - INFO - Epoch [1][6650/7330] lr: 1.000e-04, eta: 3 days, 21:48:43, time: 1.362, data_time: 0.017, memory: 64158, loss_rpn_cls: 0.0637, loss_rpn_bbox: 0.0470, loss_semantic_seg: 0.3756, s0.loss_cls: 0.3184, s0.acc: 90.8289, s0.loss_bbox: 0.1559, s0.loss_mask: 0.3140, s1.loss_cls: 0.1467, s1.acc: 91.3489, s1.loss_bbox: 0.1365, s1.loss_mask: 0.1426, s2.loss_cls: 0.0674, s2.acc: 92.0276, s2.loss_bbox: 0.0713, s2.loss_mask: 0.0663, loss: 1.9053 2022-09-12 06:23:36,091 - mmdet - INFO - Epoch [1][6700/7330] lr: 1.000e-04, eta: 3 days, 21:48:24, time: 1.337, data_time: 0.023, memory: 64158, loss_rpn_cls: 0.0643, loss_rpn_bbox: 0.0506, loss_semantic_seg: 0.3870, s0.loss_cls: 0.3260, s0.acc: 90.6953, s0.loss_bbox: 0.1594, s0.loss_mask: 0.3182, s1.loss_cls: 0.1472, s1.acc: 91.4297, s1.loss_bbox: 0.1338, s1.loss_mask: 0.1434, s2.loss_cls: 0.0668, s2.acc: 92.1010, s2.loss_bbox: 0.0679, s2.loss_mask: 0.0664, loss: 1.9310 2022-09-12 06:24:44,402 - mmdet - INFO - Epoch [1][6750/7330] lr: 1.000e-04, eta: 3 days, 21:48:57, time: 1.365, data_time: 0.042, memory: 64158, loss_rpn_cls: 0.0637, loss_rpn_bbox: 0.0504, loss_semantic_seg: 0.3866, s0.loss_cls: 0.3194, s0.acc: 90.8618, s0.loss_bbox: 0.1577, s0.loss_mask: 0.3192, s1.loss_cls: 0.1435, s1.acc: 91.5553, s1.loss_bbox: 0.1332, s1.loss_mask: 0.1449, s2.loss_cls: 0.0651, s2.acc: 92.2649, s2.loss_bbox: 0.0674, s2.loss_mask: 0.0665, loss: 1.9174 2022-09-12 06:25:52,407 - mmdet - INFO - Epoch [1][6800/7330] lr: 1.000e-04, eta: 3 days, 21:49:22, time: 1.361, data_time: 0.030, memory: 64158, loss_rpn_cls: 0.0736, loss_rpn_bbox: 0.0505, loss_semantic_seg: 0.3951, s0.loss_cls: 0.3424, s0.acc: 90.5603, s0.loss_bbox: 0.1614, s0.loss_mask: 0.3218, s1.loss_cls: 0.1545, s1.acc: 91.2968, s1.loss_bbox: 0.1372, s1.loss_mask: 0.1467, s2.loss_cls: 0.0686, s2.acc: 92.0985, s2.loss_bbox: 0.0702, s2.loss_mask: 0.0680, loss: 1.9901 2022-09-12 06:27:01,845 - mmdet - INFO - Epoch [1][6850/7330] lr: 1.000e-04, eta: 3 days, 21:50:36, time: 1.389, data_time: 0.030, memory: 64158, loss_rpn_cls: 0.0713, loss_rpn_bbox: 0.0537, loss_semantic_seg: 0.3954, s0.loss_cls: 0.3576, s0.acc: 89.9888, s0.loss_bbox: 0.1664, s0.loss_mask: 0.3261, s1.loss_cls: 0.1627, s1.acc: 90.6289, s1.loss_bbox: 0.1388, s1.loss_mask: 0.1471, s2.loss_cls: 0.0740, s2.acc: 91.3732, s2.loss_bbox: 0.0712, s2.loss_mask: 0.0674, loss: 2.0317 2022-09-12 06:28:09,862 - mmdet - INFO - Epoch [1][6900/7330] lr: 1.000e-04, eta: 3 days, 21:50:56, time: 1.360, data_time: 0.025, memory: 64158, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0516, loss_semantic_seg: 0.3897, s0.loss_cls: 0.3175, s0.acc: 90.8335, s0.loss_bbox: 0.1582, s0.loss_mask: 0.3168, s1.loss_cls: 0.1463, s1.acc: 91.4357, s1.loss_bbox: 0.1364, s1.loss_mask: 0.1437, s2.loss_cls: 0.0667, s2.acc: 92.0601, s2.loss_bbox: 0.0709, s2.loss_mask: 0.0666, loss: 1.9251 2022-09-12 06:29:17,942 - mmdet - INFO - Epoch [1][6950/7330] lr: 1.000e-04, eta: 3 days, 21:51:17, time: 1.362, data_time: 0.015, memory: 64158, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0486, loss_semantic_seg: 0.3702, s0.loss_cls: 0.3219, s0.acc: 90.5881, s0.loss_bbox: 0.1595, s0.loss_mask: 0.3155, s1.loss_cls: 0.1473, s1.acc: 91.1770, s1.loss_bbox: 0.1382, s1.loss_mask: 0.1436, s2.loss_cls: 0.0675, s2.acc: 91.8190, s2.loss_bbox: 0.0719, s2.loss_mask: 0.0664, loss: 1.9132 2022-09-12 06:30:26,713 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 06:30:26,719 - mmdet - INFO - Epoch [1][7000/7330] lr: 1.000e-04, eta: 3 days, 21:52:02, time: 1.375, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0485, loss_semantic_seg: 0.3797, s0.loss_cls: 0.3234, s0.acc: 90.6619, s0.loss_bbox: 0.1543, s0.loss_mask: 0.3058, s1.loss_cls: 0.1484, s1.acc: 91.2468, s1.loss_bbox: 0.1348, s1.loss_mask: 0.1378, s2.loss_cls: 0.0679, s2.acc: 91.8899, s2.loss_bbox: 0.0707, s2.loss_mask: 0.0637, loss: 1.8964 2022-09-12 06:31:35,316 - mmdet - INFO - Epoch [1][7050/7330] lr: 1.000e-04, eta: 3 days, 21:52:39, time: 1.372, data_time: 0.051, memory: 64158, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0479, loss_semantic_seg: 0.3785, s0.loss_cls: 0.3282, s0.acc: 90.6636, s0.loss_bbox: 0.1622, s0.loss_mask: 0.3188, s1.loss_cls: 0.1480, s1.acc: 91.3294, s1.loss_bbox: 0.1400, s1.loss_mask: 0.1454, s2.loss_cls: 0.0668, s2.acc: 91.9939, s2.loss_bbox: 0.0721, s2.loss_mask: 0.0670, loss: 1.9373 2022-09-12 06:32:43,105 - mmdet - INFO - Epoch [1][7100/7330] lr: 1.000e-04, eta: 3 days, 21:52:46, time: 1.356, data_time: 0.033, memory: 64158, loss_rpn_cls: 0.0623, loss_rpn_bbox: 0.0492, loss_semantic_seg: 0.3650, s0.loss_cls: 0.3195, s0.acc: 90.6567, s0.loss_bbox: 0.1591, s0.loss_mask: 0.3080, s1.loss_cls: 0.1447, s1.acc: 91.4228, s1.loss_bbox: 0.1379, s1.loss_mask: 0.1401, s2.loss_cls: 0.0666, s2.acc: 91.8658, s2.loss_bbox: 0.0724, s2.loss_mask: 0.0643, loss: 1.8892 2022-09-12 06:33:49,455 - mmdet - INFO - Epoch [1][7150/7330] lr: 1.000e-04, eta: 3 days, 21:51:59, time: 1.327, data_time: 0.028, memory: 64158, loss_rpn_cls: 0.0631, loss_rpn_bbox: 0.0469, loss_semantic_seg: 0.3676, s0.loss_cls: 0.3192, s0.acc: 90.8174, s0.loss_bbox: 0.1555, s0.loss_mask: 0.3143, s1.loss_cls: 0.1452, s1.acc: 91.4876, s1.loss_bbox: 0.1342, s1.loss_mask: 0.1429, s2.loss_cls: 0.0664, s2.acc: 91.9942, s2.loss_bbox: 0.0702, s2.loss_mask: 0.0659, loss: 1.8911 2022-09-12 06:34:56,027 - mmdet - INFO - Epoch [1][7200/7330] lr: 1.000e-04, eta: 3 days, 21:51:21, time: 1.331, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0484, loss_semantic_seg: 0.3655, s0.loss_cls: 0.3120, s0.acc: 90.7820, s0.loss_bbox: 0.1548, s0.loss_mask: 0.3102, s1.loss_cls: 0.1432, s1.acc: 91.4048, s1.loss_bbox: 0.1330, s1.loss_mask: 0.1400, s2.loss_cls: 0.0658, s2.acc: 92.0585, s2.loss_bbox: 0.0694, s2.loss_mask: 0.0649, loss: 1.8652 2022-09-12 06:36:02,600 - mmdet - INFO - Epoch [1][7250/7330] lr: 1.000e-04, eta: 3 days, 21:50:35, time: 1.328, data_time: 0.030, memory: 64158, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0476, loss_semantic_seg: 0.3655, s0.loss_cls: 0.3326, s0.acc: 90.4233, s0.loss_bbox: 0.1601, s0.loss_mask: 0.3086, s1.loss_cls: 0.1508, s1.acc: 91.1854, s1.loss_bbox: 0.1380, s1.loss_mask: 0.1394, s2.loss_cls: 0.0688, s2.acc: 91.8395, s2.loss_bbox: 0.0718, s2.loss_mask: 0.0644, loss: 1.9086 2022-09-12 06:37:09,636 - mmdet - INFO - Epoch [1][7300/7330] lr: 1.000e-04, eta: 3 days, 21:50:18, time: 1.344, data_time: 0.025, memory: 64158, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0476, loss_semantic_seg: 0.3589, s0.loss_cls: 0.3077, s0.acc: 90.9404, s0.loss_bbox: 0.1519, s0.loss_mask: 0.3098, s1.loss_cls: 0.1430, s1.acc: 91.4316, s1.loss_bbox: 0.1349, s1.loss_mask: 0.1410, s2.loss_cls: 0.0653, s2.acc: 92.0037, s2.loss_bbox: 0.0722, s2.loss_mask: 0.0651, loss: 1.8571 2022-09-12 06:37:59,591 - mmdet - INFO - Saving checkpoint at 1 epochs 2022-09-12 06:41:52,348 - mmdet - INFO - Evaluating bbox... 2022-09-12 06:43:02,305 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.220 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.363 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.233 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.151 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.245 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.249 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.445 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.445 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.445 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.298 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.468 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.547 2022-09-12 06:43:02,306 - mmdet - INFO - Evaluating segm... 2022-09-12 06:44:28,008 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.208 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.352 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.221 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.109 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.230 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.284 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.406 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.406 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.406 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.250 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.432 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.523 2022-09-12 06:44:29,655 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 06:44:29,657 - mmdet - INFO - Epoch(val) [1][313] bbox_mAP: 0.2200, bbox_mAP_50: 0.3630, bbox_mAP_75: 0.2330, bbox_mAP_s: 0.1510, bbox_mAP_m: 0.2450, bbox_mAP_l: 0.2490, bbox_mAP_copypaste: 0.220 0.363 0.233 0.151 0.245 0.249, segm_mAP: 0.2080, segm_mAP_50: 0.3520, segm_mAP_75: 0.2210, segm_mAP_s: 0.1090, segm_mAP_m: 0.2300, segm_mAP_l: 0.2840, segm_mAP_copypaste: 0.208 0.352 0.221 0.109 0.230 0.284 2022-09-12 06:46:42,908 - mmdet - INFO - Epoch [2][50/7330] lr: 1.000e-04, eta: 3 days, 22:04:42, time: 2.664, data_time: 1.315, memory: 64158, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0482, loss_semantic_seg: 0.3722, s0.loss_cls: 0.3173, s0.acc: 90.7400, s0.loss_bbox: 0.1549, s0.loss_mask: 0.3125, s1.loss_cls: 0.1446, s1.acc: 91.4285, s1.loss_bbox: 0.1354, s1.loss_mask: 0.1424, s2.loss_cls: 0.0667, s2.acc: 91.9263, s2.loss_bbox: 0.0709, s2.loss_mask: 0.0665, loss: 1.8886 2022-09-12 06:47:50,946 - mmdet - INFO - Epoch [2][100/7330] lr: 1.000e-04, eta: 3 days, 22:04:46, time: 1.361, data_time: 0.028, memory: 64158, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0486, loss_semantic_seg: 0.3719, s0.loss_cls: 0.3262, s0.acc: 90.5298, s0.loss_bbox: 0.1566, s0.loss_mask: 0.3091, s1.loss_cls: 0.1475, s1.acc: 91.1438, s1.loss_bbox: 0.1347, s1.loss_mask: 0.1420, s2.loss_cls: 0.0673, s2.acc: 91.8174, s2.loss_bbox: 0.0710, s2.loss_mask: 0.0658, loss: 1.9015 2022-09-12 06:48:58,399 - mmdet - INFO - Epoch [2][150/7330] lr: 1.000e-04, eta: 3 days, 22:04:28, time: 1.349, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0478, loss_semantic_seg: 0.3542, s0.loss_cls: 0.3081, s0.acc: 90.9211, s0.loss_bbox: 0.1549, s0.loss_mask: 0.3051, s1.loss_cls: 0.1407, s1.acc: 91.5657, s1.loss_bbox: 0.1367, s1.loss_mask: 0.1398, s2.loss_cls: 0.0643, s2.acc: 92.1803, s2.loss_bbox: 0.0711, s2.loss_mask: 0.0645, loss: 1.8496 2022-09-12 06:50:06,740 - mmdet - INFO - Epoch [2][200/7330] lr: 1.000e-04, eta: 3 days, 22:04:40, time: 1.367, data_time: 0.023, memory: 64158, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0503, loss_semantic_seg: 0.3686, s0.loss_cls: 0.3097, s0.acc: 90.9722, s0.loss_bbox: 0.1523, s0.loss_mask: 0.3064, s1.loss_cls: 0.1429, s1.acc: 91.6244, s1.loss_bbox: 0.1330, s1.loss_mask: 0.1396, s2.loss_cls: 0.0663, s2.acc: 91.9737, s2.loss_bbox: 0.0723, s2.loss_mask: 0.0645, loss: 1.8659 2022-09-12 06:51:13,637 - mmdet - INFO - Epoch [2][250/7330] lr: 1.000e-04, eta: 3 days, 22:04:02, time: 1.338, data_time: 0.025, memory: 64158, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0490, loss_semantic_seg: 0.3583, s0.loss_cls: 0.2984, s0.acc: 91.0828, s0.loss_bbox: 0.1513, s0.loss_mask: 0.3050, s1.loss_cls: 0.1365, s1.acc: 91.8067, s1.loss_bbox: 0.1332, s1.loss_mask: 0.1397, s2.loss_cls: 0.0628, s2.acc: 92.2607, s2.loss_bbox: 0.0716, s2.loss_mask: 0.0649, loss: 1.8295 2022-09-12 06:52:20,836 - mmdet - INFO - Epoch [2][300/7330] lr: 1.000e-04, eta: 3 days, 22:03:35, time: 1.344, data_time: 0.026, memory: 64158, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0486, loss_semantic_seg: 0.3642, s0.loss_cls: 0.3010, s0.acc: 90.8748, s0.loss_bbox: 0.1502, s0.loss_mask: 0.2995, s1.loss_cls: 0.1378, s1.acc: 91.5206, s1.loss_bbox: 0.1329, s1.loss_mask: 0.1360, s2.loss_cls: 0.0646, s2.acc: 91.9183, s2.loss_bbox: 0.0733, s2.loss_mask: 0.0626, loss: 1.8323 2022-09-12 06:53:27,869 - mmdet - INFO - Epoch [2][350/7330] lr: 1.000e-04, eta: 3 days, 22:02:59, time: 1.339, data_time: 0.014, memory: 64158, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0456, loss_semantic_seg: 0.3691, s0.loss_cls: 0.3110, s0.acc: 90.8848, s0.loss_bbox: 0.1560, s0.loss_mask: 0.3033, s1.loss_cls: 0.1434, s1.acc: 91.4836, s1.loss_bbox: 0.1367, s1.loss_mask: 0.1358, s2.loss_cls: 0.0656, s2.acc: 92.0349, s2.loss_bbox: 0.0730, s2.loss_mask: 0.0625, loss: 1.8609 2022-09-12 06:54:35,415 - mmdet - INFO - Epoch [2][400/7330] lr: 1.000e-04, eta: 3 days, 22:02:43, time: 1.352, data_time: 0.023, memory: 64158, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0462, loss_semantic_seg: 0.3608, s0.loss_cls: 0.3113, s0.acc: 90.8213, s0.loss_bbox: 0.1562, s0.loss_mask: 0.3039, s1.loss_cls: 0.1423, s1.acc: 91.4921, s1.loss_bbox: 0.1369, s1.loss_mask: 0.1379, s2.loss_cls: 0.0662, s2.acc: 91.9557, s2.loss_bbox: 0.0734, s2.loss_mask: 0.0636, loss: 1.8537 2022-09-12 06:55:41,820 - mmdet - INFO - Epoch [2][450/7330] lr: 1.000e-04, eta: 3 days, 22:01:47, time: 1.328, data_time: 0.026, memory: 64158, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0484, loss_semantic_seg: 0.3676, s0.loss_cls: 0.3185, s0.acc: 90.7781, s0.loss_bbox: 0.1572, s0.loss_mask: 0.3040, s1.loss_cls: 0.1452, s1.acc: 91.4127, s1.loss_bbox: 0.1363, s1.loss_mask: 0.1389, s2.loss_cls: 0.0665, s2.acc: 91.9651, s2.loss_bbox: 0.0722, s2.loss_mask: 0.0644, loss: 1.8750 2022-09-12 06:56:48,810 - mmdet - INFO - Epoch [2][500/7330] lr: 1.000e-04, eta: 3 days, 22:01:11, time: 1.340, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0475, loss_semantic_seg: 0.3662, s0.loss_cls: 0.3060, s0.acc: 90.9893, s0.loss_bbox: 0.1500, s0.loss_mask: 0.2998, s1.loss_cls: 0.1416, s1.acc: 91.4998, s1.loss_bbox: 0.1336, s1.loss_mask: 0.1363, s2.loss_cls: 0.0653, s2.acc: 91.9424, s2.loss_bbox: 0.0718, s2.loss_mask: 0.0629, loss: 1.8404 2022-09-12 06:57:54,735 - mmdet - INFO - Epoch [2][550/7330] lr: 1.000e-04, eta: 3 days, 21:59:55, time: 1.316, data_time: 0.019, memory: 64158, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0459, loss_semantic_seg: 0.3636, s0.loss_cls: 0.3168, s0.acc: 90.9714, s0.loss_bbox: 0.1544, s0.loss_mask: 0.3050, s1.loss_cls: 0.1446, s1.acc: 91.5044, s1.loss_bbox: 0.1347, s1.loss_mask: 0.1391, s2.loss_cls: 0.0670, s2.acc: 92.0101, s2.loss_bbox: 0.0725, s2.loss_mask: 0.0637, loss: 1.8628 2022-09-12 06:59:01,893 - mmdet - INFO - Epoch [2][600/7330] lr: 1.000e-04, eta: 3 days, 21:59:28, time: 1.346, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0478, loss_semantic_seg: 0.3572, s0.loss_cls: 0.3114, s0.acc: 90.8342, s0.loss_bbox: 0.1546, s0.loss_mask: 0.2961, s1.loss_cls: 0.1428, s1.acc: 91.4568, s1.loss_bbox: 0.1326, s1.loss_mask: 0.1341, s2.loss_cls: 0.0660, s2.acc: 91.8790, s2.loss_bbox: 0.0704, s2.loss_mask: 0.0620, loss: 1.8350 2022-09-12 07:00:09,039 - mmdet - INFO - Epoch [2][650/7330] lr: 1.000e-04, eta: 3 days, 21:58:55, time: 1.343, data_time: 0.025, memory: 64158, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0474, loss_semantic_seg: 0.3511, s0.loss_cls: 0.3078, s0.acc: 90.7654, s0.loss_bbox: 0.1552, s0.loss_mask: 0.2975, s1.loss_cls: 0.1409, s1.acc: 91.3209, s1.loss_bbox: 0.1350, s1.loss_mask: 0.1348, s2.loss_cls: 0.0650, s2.acc: 91.9128, s2.loss_bbox: 0.0727, s2.loss_mask: 0.0622, loss: 1.8263 2022-09-12 07:01:15,944 - mmdet - INFO - Epoch [2][700/7330] lr: 1.000e-04, eta: 3 days, 21:58:12, time: 1.337, data_time: 0.027, memory: 64158, loss_rpn_cls: 0.0687, loss_rpn_bbox: 0.0505, loss_semantic_seg: 0.3541, s0.loss_cls: 0.3203, s0.acc: 90.4333, s0.loss_bbox: 0.1595, s0.loss_mask: 0.2990, s1.loss_cls: 0.1458, s1.acc: 91.1233, s1.loss_bbox: 0.1383, s1.loss_mask: 0.1356, s2.loss_cls: 0.0677, s2.acc: 91.6006, s2.loss_bbox: 0.0727, s2.loss_mask: 0.0624, loss: 1.8747 2022-09-12 07:02:22,220 - mmdet - INFO - Epoch [2][750/7330] lr: 1.000e-04, eta: 3 days, 21:57:13, time: 1.327, data_time: 0.025, memory: 64158, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0454, loss_semantic_seg: 0.3568, s0.loss_cls: 0.3024, s0.acc: 91.2542, s0.loss_bbox: 0.1476, s0.loss_mask: 0.3008, s1.loss_cls: 0.1391, s1.acc: 91.8035, s1.loss_bbox: 0.1299, s1.loss_mask: 0.1367, s2.loss_cls: 0.0647, s2.acc: 92.1948, s2.loss_bbox: 0.0680, s2.loss_mask: 0.0628, loss: 1.8133 2022-09-12 07:03:29,289 - mmdet - INFO - Epoch [2][800/7330] lr: 1.000e-04, eta: 3 days, 21:56:37, time: 1.341, data_time: 0.019, memory: 64158, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0496, loss_semantic_seg: 0.3541, s0.loss_cls: 0.3036, s0.acc: 90.8730, s0.loss_bbox: 0.1523, s0.loss_mask: 0.3000, s1.loss_cls: 0.1413, s1.acc: 91.3012, s1.loss_bbox: 0.1374, s1.loss_mask: 0.1359, s2.loss_cls: 0.0660, s2.acc: 91.7345, s2.loss_bbox: 0.0733, s2.loss_mask: 0.0631, loss: 1.8378 2022-09-12 07:04:36,808 - mmdet - INFO - Epoch [2][850/7330] lr: 1.000e-04, eta: 3 days, 21:56:15, time: 1.350, data_time: 0.025, memory: 64158, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0476, loss_semantic_seg: 0.3560, s0.loss_cls: 0.3116, s0.acc: 90.5942, s0.loss_bbox: 0.1538, s0.loss_mask: 0.2917, s1.loss_cls: 0.1453, s1.acc: 91.0170, s1.loss_bbox: 0.1368, s1.loss_mask: 0.1325, s2.loss_cls: 0.0688, s2.acc: 91.3871, s2.loss_bbox: 0.0737, s2.loss_mask: 0.0609, loss: 1.8337 2022-09-12 07:05:44,274 - mmdet - INFO - Epoch [2][900/7330] lr: 1.000e-04, eta: 3 days, 21:55:51, time: 1.350, data_time: 0.020, memory: 64158, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0494, loss_semantic_seg: 0.3570, s0.loss_cls: 0.2967, s0.acc: 91.0007, s0.loss_bbox: 0.1517, s0.loss_mask: 0.2963, s1.loss_cls: 0.1375, s1.acc: 91.4399, s1.loss_bbox: 0.1353, s1.loss_mask: 0.1363, s2.loss_cls: 0.0653, s2.acc: 91.6628, s2.loss_bbox: 0.0738, s2.loss_mask: 0.0628, loss: 1.8196 2022-09-12 07:06:52,316 - mmdet - INFO - Epoch [2][950/7330] lr: 1.000e-04, eta: 3 days, 21:55:43, time: 1.361, data_time: 0.019, memory: 64158, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0481, loss_semantic_seg: 0.3530, s0.loss_cls: 0.2992, s0.acc: 91.0613, s0.loss_bbox: 0.1504, s0.loss_mask: 0.2932, s1.loss_cls: 0.1399, s1.acc: 91.4703, s1.loss_bbox: 0.1351, s1.loss_mask: 0.1340, s2.loss_cls: 0.0658, s2.acc: 91.8012, s2.loss_bbox: 0.0733, s2.loss_mask: 0.0620, loss: 1.8127 2022-09-12 07:07:59,616 - mmdet - INFO - Epoch [2][1000/7330] lr: 1.000e-04, eta: 3 days, 21:55:12, time: 1.346, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0502, loss_semantic_seg: 0.3464, s0.loss_cls: 0.2893, s0.acc: 91.1638, s0.loss_bbox: 0.1517, s0.loss_mask: 0.3034, s1.loss_cls: 0.1313, s1.acc: 91.8875, s1.loss_bbox: 0.1318, s1.loss_mask: 0.1383, s2.loss_cls: 0.0613, s2.acc: 92.3006, s2.loss_bbox: 0.0718, s2.loss_mask: 0.0640, loss: 1.7982 2022-09-12 07:09:07,229 - mmdet - INFO - Epoch [2][1050/7330] lr: 1.000e-04, eta: 3 days, 21:54:51, time: 1.352, data_time: 0.025, memory: 64158, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0508, loss_semantic_seg: 0.3485, s0.loss_cls: 0.3034, s0.acc: 90.7029, s0.loss_bbox: 0.1546, s0.loss_mask: 0.2918, s1.loss_cls: 0.1410, s1.acc: 91.3359, s1.loss_bbox: 0.1365, s1.loss_mask: 0.1329, s2.loss_cls: 0.0660, s2.acc: 91.6893, s2.loss_bbox: 0.0749, s2.loss_mask: 0.0612, loss: 1.8185 2022-09-12 07:10:14,425 - mmdet - INFO - Epoch [2][1100/7330] lr: 1.000e-04, eta: 3 days, 21:54:16, time: 1.344, data_time: 0.020, memory: 64158, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0485, loss_semantic_seg: 0.3448, s0.loss_cls: 0.3015, s0.acc: 90.9729, s0.loss_bbox: 0.1517, s0.loss_mask: 0.2983, s1.loss_cls: 0.1390, s1.acc: 91.5605, s1.loss_bbox: 0.1349, s1.loss_mask: 0.1355, s2.loss_cls: 0.0646, s2.acc: 92.0064, s2.loss_bbox: 0.0711, s2.loss_mask: 0.0622, loss: 1.8096 2022-09-12 07:11:21,302 - mmdet - INFO - Epoch [2][1150/7330] lr: 1.000e-04, eta: 3 days, 21:53:31, time: 1.338, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0487, loss_semantic_seg: 0.3483, s0.loss_cls: 0.2924, s0.acc: 91.1619, s0.loss_bbox: 0.1470, s0.loss_mask: 0.2956, s1.loss_cls: 0.1342, s1.acc: 91.7435, s1.loss_bbox: 0.1281, s1.loss_mask: 0.1337, s2.loss_cls: 0.0629, s2.acc: 92.1208, s2.loss_bbox: 0.0687, s2.loss_mask: 0.0612, loss: 1.7812 2022-09-12 07:12:29,317 - mmdet - INFO - Epoch [2][1200/7330] lr: 1.000e-04, eta: 3 days, 21:53:20, time: 1.360, data_time: 0.021, memory: 64158, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0499, loss_semantic_seg: 0.3470, s0.loss_cls: 0.3042, s0.acc: 90.9683, s0.loss_bbox: 0.1492, s0.loss_mask: 0.2899, s1.loss_cls: 0.1396, s1.acc: 91.5819, s1.loss_bbox: 0.1326, s1.loss_mask: 0.1309, s2.loss_cls: 0.0650, s2.acc: 92.0297, s2.loss_bbox: 0.0728, s2.loss_mask: 0.0603, loss: 1.8017 2022-09-12 07:13:37,366 - mmdet - INFO - Epoch [2][1250/7330] lr: 1.000e-04, eta: 3 days, 21:53:09, time: 1.361, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0475, loss_semantic_seg: 0.3589, s0.loss_cls: 0.2989, s0.acc: 91.0159, s0.loss_bbox: 0.1526, s0.loss_mask: 0.2961, s1.loss_cls: 0.1380, s1.acc: 91.6420, s1.loss_bbox: 0.1343, s1.loss_mask: 0.1338, s2.loss_cls: 0.0633, s2.acc: 92.1143, s2.loss_bbox: 0.0710, s2.loss_mask: 0.0612, loss: 1.8142 2022-09-12 07:14:44,398 - mmdet - INFO - Epoch [2][1300/7330] lr: 1.000e-04, eta: 3 days, 21:52:28, time: 1.341, data_time: 0.025, memory: 64158, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0472, loss_semantic_seg: 0.3354, s0.loss_cls: 0.2954, s0.acc: 91.1501, s0.loss_bbox: 0.1514, s0.loss_mask: 0.2980, s1.loss_cls: 0.1369, s1.acc: 91.7096, s1.loss_bbox: 0.1349, s1.loss_mask: 0.1353, s2.loss_cls: 0.0639, s2.acc: 91.9991, s2.loss_bbox: 0.0737, s2.loss_mask: 0.0623, loss: 1.7928 2022-09-12 07:15:51,117 - mmdet - INFO - Epoch [2][1350/7330] lr: 1.000e-04, eta: 3 days, 21:51:34, time: 1.332, data_time: 0.021, memory: 64158, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0481, loss_semantic_seg: 0.3461, s0.loss_cls: 0.2953, s0.acc: 91.1189, s0.loss_bbox: 0.1472, s0.loss_mask: 0.2898, s1.loss_cls: 0.1362, s1.acc: 91.5949, s1.loss_bbox: 0.1311, s1.loss_mask: 0.1327, s2.loss_cls: 0.0640, s2.acc: 91.9810, s2.loss_bbox: 0.0721, s2.loss_mask: 0.0612, loss: 1.7820 2022-09-12 07:16:58,767 - mmdet - INFO - Epoch [2][1400/7330] lr: 1.000e-04, eta: 3 days, 21:51:13, time: 1.355, data_time: 0.026, memory: 64158, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0476, loss_semantic_seg: 0.3439, s0.loss_cls: 0.3062, s0.acc: 90.6240, s0.loss_bbox: 0.1562, s0.loss_mask: 0.2940, s1.loss_cls: 0.1413, s1.acc: 91.2047, s1.loss_bbox: 0.1374, s1.loss_mask: 0.1332, s2.loss_cls: 0.0668, s2.acc: 91.5550, s2.loss_bbox: 0.0756, s2.loss_mask: 0.0615, loss: 1.8202 2022-09-12 07:18:06,742 - mmdet - INFO - Epoch [2][1450/7330] lr: 1.000e-04, eta: 3 days, 21:50:58, time: 1.359, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0488, loss_semantic_seg: 0.3420, s0.loss_cls: 0.2936, s0.acc: 91.1375, s0.loss_bbox: 0.1472, s0.loss_mask: 0.2891, s1.loss_cls: 0.1355, s1.acc: 91.6721, s1.loss_bbox: 0.1333, s1.loss_mask: 0.1332, s2.loss_cls: 0.0640, s2.acc: 92.0744, s2.loss_bbox: 0.0733, s2.loss_mask: 0.0619, loss: 1.7780 2022-09-12 07:19:14,240 - mmdet - INFO - Epoch [2][1500/7330] lr: 1.000e-04, eta: 3 days, 21:50:29, time: 1.350, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0464, loss_semantic_seg: 0.3327, s0.loss_cls: 0.2891, s0.acc: 91.2209, s0.loss_bbox: 0.1494, s0.loss_mask: 0.2906, s1.loss_cls: 0.1333, s1.acc: 91.6979, s1.loss_bbox: 0.1344, s1.loss_mask: 0.1334, s2.loss_cls: 0.0622, s2.acc: 92.1630, s2.loss_bbox: 0.0730, s2.loss_mask: 0.0625, loss: 1.7590 2022-09-12 07:20:21,504 - mmdet - INFO - Epoch [2][1550/7330] lr: 1.000e-04, eta: 3 days, 21:49:52, time: 1.345, data_time: 0.026, memory: 64158, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0471, loss_semantic_seg: 0.3360, s0.loss_cls: 0.2912, s0.acc: 91.0161, s0.loss_bbox: 0.1490, s0.loss_mask: 0.2943, s1.loss_cls: 0.1367, s1.acc: 91.3745, s1.loss_bbox: 0.1358, s1.loss_mask: 0.1351, s2.loss_cls: 0.0642, s2.acc: 91.9086, s2.loss_bbox: 0.0738, s2.loss_mask: 0.0620, loss: 1.7794 2022-09-12 07:21:29,097 - mmdet - INFO - Epoch [2][1600/7330] lr: 1.000e-04, eta: 3 days, 21:49:24, time: 1.352, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0461, loss_semantic_seg: 0.3372, s0.loss_cls: 0.2930, s0.acc: 91.0676, s0.loss_bbox: 0.1500, s0.loss_mask: 0.2895, s1.loss_cls: 0.1354, s1.acc: 91.5719, s1.loss_bbox: 0.1335, s1.loss_mask: 0.1334, s2.loss_cls: 0.0643, s2.acc: 91.9028, s2.loss_bbox: 0.0738, s2.loss_mask: 0.0620, loss: 1.7692 2022-09-12 07:22:37,201 - mmdet - INFO - Epoch [2][1650/7330] lr: 1.000e-04, eta: 3 days, 21:49:11, time: 1.362, data_time: 0.020, memory: 64158, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0469, loss_semantic_seg: 0.3298, s0.loss_cls: 0.2888, s0.acc: 91.0901, s0.loss_bbox: 0.1489, s0.loss_mask: 0.2843, s1.loss_cls: 0.1332, s1.acc: 91.6845, s1.loss_bbox: 0.1324, s1.loss_mask: 0.1295, s2.loss_cls: 0.0631, s2.acc: 91.9416, s2.loss_bbox: 0.0720, s2.loss_mask: 0.0596, loss: 1.7429 2022-09-12 07:23:44,432 - mmdet - INFO - Epoch [2][1700/7330] lr: 1.000e-04, eta: 3 days, 21:48:33, time: 1.345, data_time: 0.021, memory: 64158, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0450, loss_semantic_seg: 0.3374, s0.loss_cls: 0.2818, s0.acc: 91.3088, s0.loss_bbox: 0.1405, s0.loss_mask: 0.2840, s1.loss_cls: 0.1314, s1.acc: 91.8341, s1.loss_bbox: 0.1279, s1.loss_mask: 0.1293, s2.loss_cls: 0.0624, s2.acc: 92.1193, s2.loss_bbox: 0.0719, s2.loss_mask: 0.0599, loss: 1.7232 2022-09-12 07:24:51,885 - mmdet - INFO - Epoch [2][1750/7330] lr: 1.000e-04, eta: 3 days, 21:48:00, time: 1.349, data_time: 0.021, memory: 64158, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0499, loss_semantic_seg: 0.3266, s0.loss_cls: 0.3003, s0.acc: 90.9497, s0.loss_bbox: 0.1488, s0.loss_mask: 0.2894, s1.loss_cls: 0.1375, s1.acc: 91.5168, s1.loss_bbox: 0.1306, s1.loss_mask: 0.1310, s2.loss_cls: 0.0653, s2.acc: 91.8607, s2.loss_bbox: 0.0716, s2.loss_mask: 0.0604, loss: 1.7680 2022-09-12 07:25:58,677 - mmdet - INFO - Epoch [2][1800/7330] lr: 1.000e-04, eta: 3 days, 21:47:08, time: 1.336, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0455, loss_semantic_seg: 0.3428, s0.loss_cls: 0.2880, s0.acc: 91.3130, s0.loss_bbox: 0.1454, s0.loss_mask: 0.2851, s1.loss_cls: 0.1334, s1.acc: 91.8567, s1.loss_bbox: 0.1304, s1.loss_mask: 0.1282, s2.loss_cls: 0.0621, s2.acc: 92.1127, s2.loss_bbox: 0.0716, s2.loss_mask: 0.0586, loss: 1.7412 2022-09-12 07:27:06,650 - mmdet - INFO - Epoch [2][1850/7330] lr: 1.000e-04, eta: 3 days, 21:46:49, time: 1.359, data_time: 0.026, memory: 64158, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0468, loss_semantic_seg: 0.3239, s0.loss_cls: 0.2743, s0.acc: 91.4126, s0.loss_bbox: 0.1463, s0.loss_mask: 0.2837, s1.loss_cls: 0.1280, s1.acc: 91.7686, s1.loss_bbox: 0.1313, s1.loss_mask: 0.1298, s2.loss_cls: 0.0609, s2.acc: 91.9935, s2.loss_bbox: 0.0714, s2.loss_mask: 0.0602, loss: 1.7077 2022-09-12 07:28:13,852 - mmdet - INFO - Epoch [2][1900/7330] lr: 1.000e-04, eta: 3 days, 21:46:09, time: 1.344, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0471, loss_semantic_seg: 0.3347, s0.loss_cls: 0.2940, s0.acc: 91.1086, s0.loss_bbox: 0.1489, s0.loss_mask: 0.2896, s1.loss_cls: 0.1363, s1.acc: 91.5886, s1.loss_bbox: 0.1323, s1.loss_mask: 0.1310, s2.loss_cls: 0.0638, s2.acc: 91.9497, s2.loss_bbox: 0.0717, s2.loss_mask: 0.0600, loss: 1.7616 2022-09-12 07:29:20,483 - mmdet - INFO - Epoch [2][1950/7330] lr: 1.000e-04, eta: 3 days, 21:45:10, time: 1.331, data_time: 0.029, memory: 64158, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0454, loss_semantic_seg: 0.3517, s0.loss_cls: 0.2909, s0.acc: 91.3491, s0.loss_bbox: 0.1404, s0.loss_mask: 0.2877, s1.loss_cls: 0.1373, s1.acc: 91.6291, s1.loss_bbox: 0.1271, s1.loss_mask: 0.1310, s2.loss_cls: 0.0643, s2.acc: 92.1054, s2.loss_bbox: 0.0692, s2.loss_mask: 0.0598, loss: 1.7566 2022-09-12 07:30:27,554 - mmdet - INFO - Epoch [2][2000/7330] lr: 1.000e-04, eta: 3 days, 21:44:27, time: 1.343, data_time: 0.023, memory: 64158, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0471, loss_semantic_seg: 0.3454, s0.loss_cls: 0.2989, s0.acc: 91.0049, s0.loss_bbox: 0.1509, s0.loss_mask: 0.2922, s1.loss_cls: 0.1390, s1.acc: 91.5247, s1.loss_bbox: 0.1341, s1.loss_mask: 0.1333, s2.loss_cls: 0.0647, s2.acc: 91.9418, s2.loss_bbox: 0.0723, s2.loss_mask: 0.0610, loss: 1.7930 2022-09-12 07:31:34,791 - mmdet - INFO - Epoch [2][2050/7330] lr: 1.000e-04, eta: 3 days, 21:43:47, time: 1.345, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0437, loss_semantic_seg: 0.3382, s0.loss_cls: 0.2888, s0.acc: 91.2253, s0.loss_bbox: 0.1420, s0.loss_mask: 0.2831, s1.loss_cls: 0.1340, s1.acc: 91.5897, s1.loss_bbox: 0.1280, s1.loss_mask: 0.1285, s2.loss_cls: 0.0632, s2.acc: 91.9394, s2.loss_bbox: 0.0703, s2.loss_mask: 0.0595, loss: 1.7304 2022-09-12 07:32:42,918 - mmdet - INFO - Epoch [2][2100/7330] lr: 1.000e-04, eta: 3 days, 21:43:30, time: 1.363, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0464, loss_semantic_seg: 0.3274, s0.loss_cls: 0.2925, s0.acc: 90.9929, s0.loss_bbox: 0.1512, s0.loss_mask: 0.2915, s1.loss_cls: 0.1366, s1.acc: 91.4910, s1.loss_bbox: 0.1368, s1.loss_mask: 0.1330, s2.loss_cls: 0.0650, s2.acc: 91.7242, s2.loss_bbox: 0.0740, s2.loss_mask: 0.0611, loss: 1.7675 2022-09-12 07:33:49,443 - mmdet - INFO - Epoch [2][2150/7330] lr: 1.000e-04, eta: 3 days, 21:42:30, time: 1.330, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0458, loss_semantic_seg: 0.3390, s0.loss_cls: 0.2875, s0.acc: 91.3660, s0.loss_bbox: 0.1387, s0.loss_mask: 0.2874, s1.loss_cls: 0.1355, s1.acc: 91.8001, s1.loss_bbox: 0.1286, s1.loss_mask: 0.1317, s2.loss_cls: 0.0642, s2.acc: 92.1056, s2.loss_bbox: 0.0709, s2.loss_mask: 0.0609, loss: 1.7402 2022-09-12 07:34:57,508 - mmdet - INFO - Epoch [2][2200/7330] lr: 1.000e-04, eta: 3 days, 21:42:10, time: 1.361, data_time: 0.025, memory: 64158, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0460, loss_semantic_seg: 0.3295, s0.loss_cls: 0.2758, s0.acc: 91.5415, s0.loss_bbox: 0.1396, s0.loss_mask: 0.2807, s1.loss_cls: 0.1296, s1.acc: 91.9915, s1.loss_bbox: 0.1274, s1.loss_mask: 0.1271, s2.loss_cls: 0.0613, s2.acc: 92.2132, s2.loss_bbox: 0.0720, s2.loss_mask: 0.0583, loss: 1.6995 2022-09-12 07:36:04,056 - mmdet - INFO - Epoch [2][2250/7330] lr: 1.000e-04, eta: 3 days, 21:41:10, time: 1.331, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0468, loss_semantic_seg: 0.3298, s0.loss_cls: 0.2842, s0.acc: 91.1663, s0.loss_bbox: 0.1421, s0.loss_mask: 0.2764, s1.loss_cls: 0.1337, s1.acc: 91.5940, s1.loss_bbox: 0.1279, s1.loss_mask: 0.1250, s2.loss_cls: 0.0642, s2.acc: 91.8074, s2.loss_bbox: 0.0711, s2.loss_mask: 0.0577, loss: 1.7106 2022-09-12 07:37:11,862 - mmdet - INFO - Epoch [2][2300/7330] lr: 1.000e-04, eta: 3 days, 21:40:43, time: 1.356, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0448, loss_semantic_seg: 0.3248, s0.loss_cls: 0.2825, s0.acc: 91.2654, s0.loss_bbox: 0.1445, s0.loss_mask: 0.2861, s1.loss_cls: 0.1311, s1.acc: 91.8151, s1.loss_bbox: 0.1335, s1.loss_mask: 0.1319, s2.loss_cls: 0.0622, s2.acc: 92.0526, s2.loss_bbox: 0.0739, s2.loss_mask: 0.0609, loss: 1.7255 2022-09-12 07:38:19,651 - mmdet - INFO - Epoch [2][2350/7330] lr: 1.000e-04, eta: 3 days, 21:40:16, time: 1.356, data_time: 0.023, memory: 64158, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0472, loss_semantic_seg: 0.3298, s0.loss_cls: 0.2958, s0.acc: 90.7407, s0.loss_bbox: 0.1535, s0.loss_mask: 0.2840, s1.loss_cls: 0.1375, s1.acc: 91.2534, s1.loss_bbox: 0.1371, s1.loss_mask: 0.1297, s2.loss_cls: 0.0647, s2.acc: 91.6648, s2.loss_bbox: 0.0757, s2.loss_mask: 0.0602, loss: 1.7694 2022-09-12 07:39:26,263 - mmdet - INFO - Epoch [2][2400/7330] lr: 1.000e-04, eta: 3 days, 21:39:14, time: 1.331, data_time: 0.021, memory: 64158, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0419, loss_semantic_seg: 0.3176, s0.loss_cls: 0.2787, s0.acc: 91.3042, s0.loss_bbox: 0.1438, s0.loss_mask: 0.2829, s1.loss_cls: 0.1306, s1.acc: 91.7678, s1.loss_bbox: 0.1300, s1.loss_mask: 0.1305, s2.loss_cls: 0.0624, s2.acc: 92.0066, s2.loss_bbox: 0.0712, s2.loss_mask: 0.0597, loss: 1.6976 2022-09-12 07:40:33,163 - mmdet - INFO - Epoch [2][2450/7330] lr: 1.000e-04, eta: 3 days, 21:38:24, time: 1.339, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0456, loss_semantic_seg: 0.3318, s0.loss_cls: 0.2859, s0.acc: 91.3660, s0.loss_bbox: 0.1429, s0.loss_mask: 0.2827, s1.loss_cls: 0.1333, s1.acc: 91.8470, s1.loss_bbox: 0.1281, s1.loss_mask: 0.1280, s2.loss_cls: 0.0629, s2.acc: 92.1038, s2.loss_bbox: 0.0709, s2.loss_mask: 0.0593, loss: 1.7263 2022-09-12 07:41:40,722 - mmdet - INFO - Epoch [2][2500/7330] lr: 1.000e-04, eta: 3 days, 21:37:50, time: 1.352, data_time: 0.017, memory: 64158, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0438, loss_semantic_seg: 0.3362, s0.loss_cls: 0.2873, s0.acc: 91.1711, s0.loss_bbox: 0.1487, s0.loss_mask: 0.2887, s1.loss_cls: 0.1339, s1.acc: 91.6484, s1.loss_bbox: 0.1340, s1.loss_mask: 0.1299, s2.loss_cls: 0.0634, s2.acc: 91.8247, s2.loss_bbox: 0.0732, s2.loss_mask: 0.0599, loss: 1.7494 2022-09-12 07:42:47,943 - mmdet - INFO - Epoch [2][2550/7330] lr: 1.000e-04, eta: 3 days, 21:37:07, time: 1.345, data_time: 0.027, memory: 64158, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0447, loss_semantic_seg: 0.3320, s0.loss_cls: 0.2799, s0.acc: 91.3896, s0.loss_bbox: 0.1410, s0.loss_mask: 0.2846, s1.loss_cls: 0.1304, s1.acc: 91.8777, s1.loss_bbox: 0.1296, s1.loss_mask: 0.1293, s2.loss_cls: 0.0618, s2.acc: 92.1588, s2.loss_bbox: 0.0725, s2.loss_mask: 0.0598, loss: 1.7140 2022-09-12 07:43:54,035 - mmdet - INFO - Epoch [2][2600/7330] lr: 1.000e-04, eta: 3 days, 21:35:54, time: 1.322, data_time: 0.023, memory: 64158, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0444, loss_semantic_seg: 0.3288, s0.loss_cls: 0.2750, s0.acc: 91.3533, s0.loss_bbox: 0.1423, s0.loss_mask: 0.2832, s1.loss_cls: 0.1288, s1.acc: 91.8208, s1.loss_bbox: 0.1319, s1.loss_mask: 0.1291, s2.loss_cls: 0.0616, s2.acc: 92.0173, s2.loss_bbox: 0.0737, s2.loss_mask: 0.0592, loss: 1.7083 2022-09-12 07:45:01,882 - mmdet - INFO - Epoch [2][2650/7330] lr: 1.000e-04, eta: 3 days, 21:35:26, time: 1.357, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0476, loss_semantic_seg: 0.3211, s0.loss_cls: 0.2717, s0.acc: 91.4458, s0.loss_bbox: 0.1404, s0.loss_mask: 0.2799, s1.loss_cls: 0.1276, s1.acc: 91.8943, s1.loss_bbox: 0.1308, s1.loss_mask: 0.1272, s2.loss_cls: 0.0606, s2.acc: 92.1607, s2.loss_bbox: 0.0737, s2.loss_mask: 0.0585, loss: 1.6877 2022-09-12 07:46:09,432 - mmdet - INFO - Epoch [2][2700/7330] lr: 1.000e-04, eta: 3 days, 21:34:49, time: 1.351, data_time: 0.020, memory: 64158, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0422, loss_semantic_seg: 0.3225, s0.loss_cls: 0.2782, s0.acc: 91.3088, s0.loss_bbox: 0.1391, s0.loss_mask: 0.2798, s1.loss_cls: 0.1315, s1.acc: 91.6849, s1.loss_bbox: 0.1320, s1.loss_mask: 0.1274, s2.loss_cls: 0.0623, s2.acc: 91.9159, s2.loss_bbox: 0.0728, s2.loss_mask: 0.0583, loss: 1.6931 2022-09-12 07:47:17,902 - mmdet - INFO - Epoch [2][2750/7330] lr: 1.000e-04, eta: 3 days, 21:34:37, time: 1.370, data_time: 0.023, memory: 64158, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0414, loss_semantic_seg: 0.3250, s0.loss_cls: 0.2811, s0.acc: 91.3381, s0.loss_bbox: 0.1349, s0.loss_mask: 0.2744, s1.loss_cls: 0.1300, s1.acc: 91.7434, s1.loss_bbox: 0.1281, s1.loss_mask: 0.1253, s2.loss_cls: 0.0634, s2.acc: 91.7913, s2.loss_bbox: 0.0736, s2.loss_mask: 0.0582, loss: 1.6839 2022-09-12 07:48:26,524 - mmdet - INFO - Epoch [2][2800/7330] lr: 1.000e-04, eta: 3 days, 21:34:27, time: 1.372, data_time: 0.024, memory: 64158, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0461, loss_semantic_seg: 0.3468, s0.loss_cls: 0.2887, s0.acc: 91.1965, s0.loss_bbox: 0.1422, s0.loss_mask: 0.2817, s1.loss_cls: 0.1368, s1.acc: 91.5576, s1.loss_bbox: 0.1315, s1.loss_mask: 0.1279, s2.loss_cls: 0.0642, s2.acc: 91.9000, s2.loss_bbox: 0.0739, s2.loss_mask: 0.0589, loss: 1.7512 2022-09-12 07:49:33,663 - mmdet - INFO - Epoch [2][2850/7330] lr: 1.000e-04, eta: 3 days, 21:33:39, time: 1.343, data_time: 0.020, memory: 64158, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0447, loss_semantic_seg: 0.3225, s0.loss_cls: 0.2775, s0.acc: 91.4624, s0.loss_bbox: 0.1366, s0.loss_mask: 0.2784, s1.loss_cls: 0.1292, s1.acc: 92.0115, s1.loss_bbox: 0.1271, s1.loss_mask: 0.1286, s2.loss_cls: 0.0609, s2.acc: 92.3395, s2.loss_bbox: 0.0712, s2.loss_mask: 0.0595, loss: 1.6888 2022-09-12 07:50:41,497 - mmdet - INFO - Epoch [2][2900/7330] lr: 1.000e-04, eta: 3 days, 21:33:09, time: 1.357, data_time: 0.026, memory: 64158, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0477, loss_semantic_seg: 0.3266, s0.loss_cls: 0.2852, s0.acc: 91.2966, s0.loss_bbox: 0.1458, s0.loss_mask: 0.2854, s1.loss_cls: 0.1318, s1.acc: 91.9024, s1.loss_bbox: 0.1332, s1.loss_mask: 0.1301, s2.loss_cls: 0.0620, s2.acc: 92.3084, s2.loss_bbox: 0.0734, s2.loss_mask: 0.0596, loss: 1.7326 2022-09-12 07:51:48,748 - mmdet - INFO - Epoch [2][2950/7330] lr: 1.000e-04, eta: 3 days, 21:32:24, time: 1.345, data_time: 0.022, memory: 64158, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0465, loss_semantic_seg: 0.3116, s0.loss_cls: 0.2774, s0.acc: 91.1184, s0.loss_bbox: 0.1468, s0.loss_mask: 0.2836, s1.loss_cls: 0.1292, s1.acc: 91.6486, s1.loss_bbox: 0.1356, s1.loss_mask: 0.1284, s2.loss_cls: 0.0622, s2.acc: 91.8214, s2.loss_bbox: 0.0761, s2.loss_mask: 0.0593, loss: 1.7054 2022-09-12 07:52:55,435 - mmdet - INFO - Epoch [2][3000/7330] lr: 1.000e-04, eta: 3 days, 21:31:23, time: 1.333, data_time: 0.027, memory: 64158, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0432, loss_semantic_seg: 0.3145, s0.loss_cls: 0.2877, s0.acc: 91.0793, s0.loss_bbox: 0.1418, s0.loss_mask: 0.2726, s1.loss_cls: 0.1352, s1.acc: 91.5107, s1.loss_bbox: 0.1307, s1.loss_mask: 0.1262, s2.loss_cls: 0.0649, s2.acc: 91.7272, s2.loss_bbox: 0.0737, s2.loss_mask: 0.0586, loss: 1.6983 2022-09-12 07:54:02,931 - mmdet - INFO - Epoch [2][3050/7330] lr: 1.000e-04, eta: 3 days, 21:30:45, time: 1.351, data_time: 0.020, memory: 64158, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0442, loss_semantic_seg: 0.3182, s0.loss_cls: 0.2609, s0.acc: 91.8115, s0.loss_bbox: 0.1318, s0.loss_mask: 0.2729, s1.loss_cls: 0.1230, s1.acc: 92.2362, s1.loss_bbox: 0.1225, s1.loss_mask: 0.1238, s2.loss_cls: 0.0589, s2.acc: 92.3643, s2.loss_bbox: 0.0704, s2.loss_mask: 0.0575, loss: 1.6332 2022-09-12 07:55:22,940 - mmdet - INFO - Epoch [2][3100/7330] lr: 1.000e-04, eta: 3 days, 21:35:10, time: 1.600, data_time: 0.032, memory: 64616, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0485, loss_semantic_seg: 0.3120, s0.loss_cls: 0.2863, s0.acc: 90.8948, s0.loss_bbox: 0.1490, s0.loss_mask: 0.2746, s1.loss_cls: 0.1346, s1.acc: 91.3940, s1.loss_bbox: 0.1357, s1.loss_mask: 0.1247, s2.loss_cls: 0.0645, s2.acc: 91.5647, s2.loss_bbox: 0.0763, s2.loss_mask: 0.0577, loss: 1.7136 2022-09-12 07:56:31,075 - mmdet - INFO - Epoch [2][3150/7330] lr: 1.000e-04, eta: 3 days, 21:34:43, time: 1.363, data_time: 0.025, memory: 64616, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0464, loss_semantic_seg: 0.3263, s0.loss_cls: 0.2870, s0.acc: 91.0173, s0.loss_bbox: 0.1442, s0.loss_mask: 0.2825, s1.loss_cls: 0.1339, s1.acc: 91.4893, s1.loss_bbox: 0.1310, s1.loss_mask: 0.1291, s2.loss_cls: 0.0633, s2.acc: 91.8242, s2.loss_bbox: 0.0728, s2.loss_mask: 0.0604, loss: 1.7259 2022-09-12 07:57:38,912 - mmdet - INFO - Epoch [2][3200/7330] lr: 1.000e-04, eta: 3 days, 21:34:10, time: 1.357, data_time: 0.021, memory: 64616, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0458, loss_semantic_seg: 0.3173, s0.loss_cls: 0.2703, s0.acc: 91.4077, s0.loss_bbox: 0.1421, s0.loss_mask: 0.2782, s1.loss_cls: 0.1273, s1.acc: 91.8084, s1.loss_bbox: 0.1285, s1.loss_mask: 0.1270, s2.loss_cls: 0.0603, s2.acc: 92.1105, s2.loss_bbox: 0.0719, s2.loss_mask: 0.0584, loss: 1.6766 2022-09-12 07:58:46,759 - mmdet - INFO - Epoch [2][3250/7330] lr: 1.000e-04, eta: 3 days, 21:33:36, time: 1.357, data_time: 0.025, memory: 64616, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0445, loss_semantic_seg: 0.3204, s0.loss_cls: 0.2725, s0.acc: 91.5635, s0.loss_bbox: 0.1381, s0.loss_mask: 0.2795, s1.loss_cls: 0.1259, s1.acc: 92.1431, s1.loss_bbox: 0.1259, s1.loss_mask: 0.1294, s2.loss_cls: 0.0594, s2.acc: 92.4889, s2.loss_bbox: 0.0705, s2.loss_mask: 0.0598, loss: 1.6766 2022-09-12 07:59:54,538 - mmdet - INFO - Epoch [2][3300/7330] lr: 1.000e-04, eta: 3 days, 21:33:00, time: 1.356, data_time: 0.027, memory: 64616, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0448, loss_semantic_seg: 0.3243, s0.loss_cls: 0.2793, s0.acc: 91.4375, s0.loss_bbox: 0.1378, s0.loss_mask: 0.2834, s1.loss_cls: 0.1295, s1.acc: 91.9627, s1.loss_bbox: 0.1270, s1.loss_mask: 0.1297, s2.loss_cls: 0.0621, s2.acc: 92.1678, s2.loss_bbox: 0.0716, s2.loss_mask: 0.0602, loss: 1.7013 2022-09-12 08:01:02,676 - mmdet - INFO - Epoch [2][3350/7330] lr: 1.000e-04, eta: 3 days, 21:32:33, time: 1.363, data_time: 0.028, memory: 64616, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0426, loss_semantic_seg: 0.3176, s0.loss_cls: 0.2666, s0.acc: 91.7285, s0.loss_bbox: 0.1356, s0.loss_mask: 0.2795, s1.loss_cls: 0.1251, s1.acc: 92.1132, s1.loss_bbox: 0.1237, s1.loss_mask: 0.1274, s2.loss_cls: 0.0600, s2.acc: 92.3360, s2.loss_bbox: 0.0702, s2.loss_mask: 0.0584, loss: 1.6564 2022-09-12 08:02:09,318 - mmdet - INFO - Epoch [2][3400/7330] lr: 1.000e-04, eta: 3 days, 21:31:30, time: 1.333, data_time: 0.027, memory: 64616, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0433, loss_semantic_seg: 0.3159, s0.loss_cls: 0.2682, s0.acc: 91.6064, s0.loss_bbox: 0.1371, s0.loss_mask: 0.2696, s1.loss_cls: 0.1251, s1.acc: 92.0556, s1.loss_bbox: 0.1253, s1.loss_mask: 0.1226, s2.loss_cls: 0.0603, s2.acc: 92.2861, s2.loss_bbox: 0.0712, s2.loss_mask: 0.0569, loss: 1.6450 2022-09-12 08:03:16,011 - mmdet - INFO - Epoch [2][3450/7330] lr: 1.000e-04, eta: 3 days, 21:30:28, time: 1.334, data_time: 0.021, memory: 64616, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0448, loss_semantic_seg: 0.3133, s0.loss_cls: 0.2772, s0.acc: 91.3616, s0.loss_bbox: 0.1401, s0.loss_mask: 0.2701, s1.loss_cls: 0.1304, s1.acc: 91.7280, s1.loss_bbox: 0.1304, s1.loss_mask: 0.1228, s2.loss_cls: 0.0622, s2.acc: 91.9431, s2.loss_bbox: 0.0713, s2.loss_mask: 0.0563, loss: 1.6666 2022-09-12 08:04:23,835 - mmdet - INFO - Epoch [2][3500/7330] lr: 1.000e-04, eta: 3 days, 21:29:52, time: 1.357, data_time: 0.023, memory: 64616, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0451, loss_semantic_seg: 0.3145, s0.loss_cls: 0.2741, s0.acc: 91.4578, s0.loss_bbox: 0.1337, s0.loss_mask: 0.2762, s1.loss_cls: 0.1286, s1.acc: 91.8866, s1.loss_bbox: 0.1234, s1.loss_mask: 0.1255, s2.loss_cls: 0.0605, s2.acc: 92.0740, s2.loss_bbox: 0.0698, s2.loss_mask: 0.0576, loss: 1.6601 2022-09-12 08:05:31,010 - mmdet - INFO - Epoch [2][3550/7330] lr: 1.000e-04, eta: 3 days, 21:29:01, time: 1.343, data_time: 0.025, memory: 64616, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0449, loss_semantic_seg: 0.3199, s0.loss_cls: 0.2707, s0.acc: 91.4775, s0.loss_bbox: 0.1392, s0.loss_mask: 0.2710, s1.loss_cls: 0.1260, s1.acc: 92.0013, s1.loss_bbox: 0.1293, s1.loss_mask: 0.1240, s2.loss_cls: 0.0601, s2.acc: 92.2264, s2.loss_bbox: 0.0723, s2.loss_mask: 0.0567, loss: 1.6638 2022-09-12 08:06:38,637 - mmdet - INFO - Epoch [2][3600/7330] lr: 1.000e-04, eta: 3 days, 21:28:19, time: 1.352, data_time: 0.019, memory: 64616, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0421, loss_semantic_seg: 0.3093, s0.loss_cls: 0.2788, s0.acc: 91.2798, s0.loss_bbox: 0.1443, s0.loss_mask: 0.2703, s1.loss_cls: 0.1310, s1.acc: 91.6994, s1.loss_bbox: 0.1317, s1.loss_mask: 0.1233, s2.loss_cls: 0.0625, s2.acc: 91.9088, s2.loss_bbox: 0.0752, s2.loss_mask: 0.0562, loss: 1.6725 2022-09-12 08:07:46,693 - mmdet - INFO - Epoch [2][3650/7330] lr: 1.000e-04, eta: 3 days, 21:27:48, time: 1.361, data_time: 0.021, memory: 64616, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0432, loss_semantic_seg: 0.3123, s0.loss_cls: 0.2703, s0.acc: 91.6157, s0.loss_bbox: 0.1335, s0.loss_mask: 0.2727, s1.loss_cls: 0.1277, s1.acc: 92.0411, s1.loss_bbox: 0.1251, s1.loss_mask: 0.1247, s2.loss_cls: 0.0608, s2.acc: 92.2586, s2.loss_bbox: 0.0716, s2.loss_mask: 0.0582, loss: 1.6504 2022-09-12 08:08:54,194 - mmdet - INFO - Epoch [2][3700/7330] lr: 1.000e-04, eta: 3 days, 21:27:05, time: 1.351, data_time: 0.020, memory: 64616, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0453, loss_semantic_seg: 0.3171, s0.loss_cls: 0.2775, s0.acc: 91.2590, s0.loss_bbox: 0.1401, s0.loss_mask: 0.2758, s1.loss_cls: 0.1314, s1.acc: 91.6281, s1.loss_bbox: 0.1290, s1.loss_mask: 0.1265, s2.loss_cls: 0.0628, s2.acc: 91.8575, s2.loss_bbox: 0.0722, s2.loss_mask: 0.0587, loss: 1.6831 2022-09-12 08:10:01,097 - mmdet - INFO - Epoch [2][3750/7330] lr: 1.000e-04, eta: 3 days, 21:26:06, time: 1.337, data_time: 0.024, memory: 64616, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0436, loss_semantic_seg: 0.3145, s0.loss_cls: 0.2757, s0.acc: 91.4807, s0.loss_bbox: 0.1379, s0.loss_mask: 0.2677, s1.loss_cls: 0.1293, s1.acc: 92.0082, s1.loss_bbox: 0.1263, s1.loss_mask: 0.1215, s2.loss_cls: 0.0613, s2.acc: 92.1359, s2.loss_bbox: 0.0715, s2.loss_mask: 0.0554, loss: 1.6525 2022-09-12 08:11:08,848 - mmdet - INFO - Epoch [2][3800/7330] lr: 1.000e-04, eta: 3 days, 21:25:29, time: 1.356, data_time: 0.023, memory: 64616, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0434, loss_semantic_seg: 0.2999, s0.loss_cls: 0.2639, s0.acc: 91.5615, s0.loss_bbox: 0.1346, s0.loss_mask: 0.2692, s1.loss_cls: 0.1253, s1.acc: 91.9156, s1.loss_bbox: 0.1281, s1.loss_mask: 0.1238, s2.loss_cls: 0.0607, s2.acc: 92.0629, s2.loss_bbox: 0.0738, s2.loss_mask: 0.0575, loss: 1.6266 2022-09-12 08:12:16,231 - mmdet - INFO - Epoch [2][3850/7330] lr: 1.000e-04, eta: 3 days, 21:24:41, time: 1.347, data_time: 0.020, memory: 64616, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0480, loss_semantic_seg: 0.3035, s0.loss_cls: 0.2832, s0.acc: 91.0024, s0.loss_bbox: 0.1477, s0.loss_mask: 0.2787, s1.loss_cls: 0.1312, s1.acc: 91.5469, s1.loss_bbox: 0.1318, s1.loss_mask: 0.1267, s2.loss_cls: 0.0620, s2.acc: 91.9571, s2.loss_bbox: 0.0733, s2.loss_mask: 0.0579, loss: 1.6968 2022-09-12 08:13:24,686 - mmdet - INFO - Epoch [2][3900/7330] lr: 1.000e-04, eta: 3 days, 21:24:18, time: 1.370, data_time: 0.019, memory: 64616, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0442, loss_semantic_seg: 0.3150, s0.loss_cls: 0.2782, s0.acc: 91.3708, s0.loss_bbox: 0.1442, s0.loss_mask: 0.2782, s1.loss_cls: 0.1292, s1.acc: 91.8675, s1.loss_bbox: 0.1314, s1.loss_mask: 0.1263, s2.loss_cls: 0.0611, s2.acc: 92.1456, s2.loss_bbox: 0.0728, s2.loss_mask: 0.0582, loss: 1.6887 2022-09-12 08:14:31,310 - mmdet - INFO - Epoch [2][3950/7330] lr: 1.000e-04, eta: 3 days, 21:23:12, time: 1.331, data_time: 0.019, memory: 64616, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0408, loss_semantic_seg: 0.3091, s0.loss_cls: 0.2697, s0.acc: 91.6150, s0.loss_bbox: 0.1358, s0.loss_mask: 0.2674, s1.loss_cls: 0.1248, s1.acc: 92.1230, s1.loss_bbox: 0.1280, s1.loss_mask: 0.1220, s2.loss_cls: 0.0607, s2.acc: 92.2146, s2.loss_bbox: 0.0738, s2.loss_mask: 0.0565, loss: 1.6345 2022-09-12 08:15:39,057 - mmdet - INFO - Epoch [2][4000/7330] lr: 1.000e-04, eta: 3 days, 21:22:33, time: 1.356, data_time: 0.025, memory: 64616, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0454, loss_semantic_seg: 0.3005, s0.loss_cls: 0.2601, s0.acc: 91.5493, s0.loss_bbox: 0.1353, s0.loss_mask: 0.2706, s1.loss_cls: 0.1213, s1.acc: 92.1015, s1.loss_bbox: 0.1286, s1.loss_mask: 0.1251, s2.loss_cls: 0.0590, s2.acc: 92.0782, s2.loss_bbox: 0.0736, s2.loss_mask: 0.0583, loss: 1.6252 2022-09-12 08:16:47,034 - mmdet - INFO - Epoch [2][4050/7330] lr: 1.000e-04, eta: 3 days, 21:21:58, time: 1.359, data_time: 0.020, memory: 64616, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0421, loss_semantic_seg: 0.3186, s0.loss_cls: 0.2530, s0.acc: 92.0317, s0.loss_bbox: 0.1272, s0.loss_mask: 0.2671, s1.loss_cls: 0.1173, s1.acc: 92.5305, s1.loss_bbox: 0.1190, s1.loss_mask: 0.1225, s2.loss_cls: 0.0565, s2.acc: 92.6861, s2.loss_bbox: 0.0677, s2.loss_mask: 0.0567, loss: 1.5949 2022-09-12 08:17:53,859 - mmdet - INFO - Epoch [2][4100/7330] lr: 1.000e-04, eta: 3 days, 21:20:58, time: 1.337, data_time: 0.023, memory: 64616, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0431, loss_semantic_seg: 0.3287, s0.loss_cls: 0.2725, s0.acc: 91.5933, s0.loss_bbox: 0.1315, s0.loss_mask: 0.2712, s1.loss_cls: 0.1252, s1.acc: 92.1837, s1.loss_bbox: 0.1210, s1.loss_mask: 0.1244, s2.loss_cls: 0.0598, s2.acc: 92.4644, s2.loss_bbox: 0.0683, s2.loss_mask: 0.0568, loss: 1.6513 2022-09-12 08:19:01,993 - mmdet - INFO - Epoch [2][4150/7330] lr: 1.000e-04, eta: 3 days, 21:20:24, time: 1.361, data_time: 0.020, memory: 64616, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0435, loss_semantic_seg: 0.3132, s0.loss_cls: 0.2752, s0.acc: 91.5168, s0.loss_bbox: 0.1380, s0.loss_mask: 0.2672, s1.loss_cls: 0.1297, s1.acc: 91.8817, s1.loss_bbox: 0.1278, s1.loss_mask: 0.1228, s2.loss_cls: 0.0620, s2.acc: 92.0250, s2.loss_bbox: 0.0722, s2.loss_mask: 0.0563, loss: 1.6529 2022-09-12 08:20:08,583 - mmdet - INFO - Epoch [2][4200/7330] lr: 1.000e-04, eta: 3 days, 21:19:19, time: 1.333, data_time: 0.021, memory: 64616, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0439, loss_semantic_seg: 0.3122, s0.loss_cls: 0.2646, s0.acc: 91.6067, s0.loss_bbox: 0.1388, s0.loss_mask: 0.2639, s1.loss_cls: 0.1244, s1.acc: 92.0977, s1.loss_bbox: 0.1262, s1.loss_mask: 0.1207, s2.loss_cls: 0.0598, s2.acc: 92.1949, s2.loss_bbox: 0.0714, s2.loss_mask: 0.0559, loss: 1.6340 2022-09-12 08:21:15,181 - mmdet - INFO - Epoch [2][4250/7330] lr: 1.000e-04, eta: 3 days, 21:18:14, time: 1.332, data_time: 0.021, memory: 64616, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0425, loss_semantic_seg: 0.3084, s0.loss_cls: 0.2569, s0.acc: 91.7935, s0.loss_bbox: 0.1335, s0.loss_mask: 0.2639, s1.loss_cls: 0.1210, s1.acc: 92.2188, s1.loss_bbox: 0.1260, s1.loss_mask: 0.1203, s2.loss_cls: 0.0589, s2.acc: 92.1260, s2.loss_bbox: 0.0727, s2.loss_mask: 0.0559, loss: 1.6064 2022-09-12 08:22:22,687 - mmdet - INFO - Epoch [2][4300/7330] lr: 1.000e-04, eta: 3 days, 21:17:26, time: 1.349, data_time: 0.023, memory: 64616, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0428, loss_semantic_seg: 0.2984, s0.loss_cls: 0.2598, s0.acc: 91.6494, s0.loss_bbox: 0.1341, s0.loss_mask: 0.2706, s1.loss_cls: 0.1223, s1.acc: 91.9416, s1.loss_bbox: 0.1275, s1.loss_mask: 0.1241, s2.loss_cls: 0.0590, s2.acc: 92.0433, s2.loss_bbox: 0.0724, s2.loss_mask: 0.0570, loss: 1.6161 2022-09-12 08:23:30,050 - mmdet - INFO - Epoch [2][4350/7330] lr: 1.000e-04, eta: 3 days, 21:16:38, time: 1.349, data_time: 0.025, memory: 64616, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0428, loss_semantic_seg: 0.3068, s0.loss_cls: 0.2777, s0.acc: 91.3230, s0.loss_bbox: 0.1431, s0.loss_mask: 0.2664, s1.loss_cls: 0.1322, s1.acc: 91.6495, s1.loss_bbox: 0.1337, s1.loss_mask: 0.1223, s2.loss_cls: 0.0639, s2.acc: 91.7750, s2.loss_bbox: 0.0759, s2.loss_mask: 0.0568, loss: 1.6667 2022-09-12 08:24:38,665 - mmdet - INFO - Epoch [2][4400/7330] lr: 1.000e-04, eta: 3 days, 21:16:15, time: 1.372, data_time: 0.023, memory: 64616, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0411, loss_semantic_seg: 0.2980, s0.loss_cls: 0.2567, s0.acc: 91.8445, s0.loss_bbox: 0.1287, s0.loss_mask: 0.2586, s1.loss_cls: 0.1224, s1.acc: 92.0885, s1.loss_bbox: 0.1209, s1.loss_mask: 0.1189, s2.loss_cls: 0.0598, s2.acc: 92.1852, s2.loss_bbox: 0.0705, s2.loss_mask: 0.0549, loss: 1.5778 2022-09-12 08:25:46,464 - mmdet - INFO - Epoch [2][4450/7330] lr: 1.000e-04, eta: 3 days, 21:15:35, time: 1.356, data_time: 0.019, memory: 64616, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0413, loss_semantic_seg: 0.3001, s0.loss_cls: 0.2580, s0.acc: 91.9951, s0.loss_bbox: 0.1304, s0.loss_mask: 0.2642, s1.loss_cls: 0.1214, s1.acc: 92.3106, s1.loss_bbox: 0.1246, s1.loss_mask: 0.1207, s2.loss_cls: 0.0593, s2.acc: 92.3532, s2.loss_bbox: 0.0730, s2.loss_mask: 0.0561, loss: 1.5923 2022-09-12 08:26:53,621 - mmdet - INFO - Epoch [2][4500/7330] lr: 1.000e-04, eta: 3 days, 21:14:40, time: 1.343, data_time: 0.020, memory: 64616, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0414, loss_semantic_seg: 0.3085, s0.loss_cls: 0.2620, s0.acc: 91.7314, s0.loss_bbox: 0.1312, s0.loss_mask: 0.2610, s1.loss_cls: 0.1235, s1.acc: 92.1124, s1.loss_bbox: 0.1238, s1.loss_mask: 0.1197, s2.loss_cls: 0.0595, s2.acc: 92.2603, s2.loss_bbox: 0.0706, s2.loss_mask: 0.0550, loss: 1.6029 2022-09-12 08:28:01,121 - mmdet - INFO - Epoch [2][4550/7330] lr: 1.000e-04, eta: 3 days, 21:13:53, time: 1.350, data_time: 0.023, memory: 64616, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0456, loss_semantic_seg: 0.3213, s0.loss_cls: 0.2757, s0.acc: 91.4841, s0.loss_bbox: 0.1387, s0.loss_mask: 0.2716, s1.loss_cls: 0.1275, s1.acc: 92.0287, s1.loss_bbox: 0.1270, s1.loss_mask: 0.1236, s2.loss_cls: 0.0613, s2.acc: 92.1122, s2.loss_bbox: 0.0723, s2.loss_mask: 0.0575, loss: 1.6740 2022-09-12 08:29:09,529 - mmdet - INFO - Epoch [2][4600/7330] lr: 1.000e-04, eta: 3 days, 21:13:25, time: 1.368, data_time: 0.021, memory: 64616, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0422, loss_semantic_seg: 0.2956, s0.loss_cls: 0.2525, s0.acc: 91.9033, s0.loss_bbox: 0.1298, s0.loss_mask: 0.2625, s1.loss_cls: 0.1198, s1.acc: 92.3343, s1.loss_bbox: 0.1237, s1.loss_mask: 0.1221, s2.loss_cls: 0.0581, s2.acc: 92.4329, s2.loss_bbox: 0.0710, s2.loss_mask: 0.0572, loss: 1.5785 2022-09-12 08:30:16,641 - mmdet - INFO - Epoch [2][4650/7330] lr: 1.000e-04, eta: 3 days, 21:12:29, time: 1.342, data_time: 0.019, memory: 64616, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0416, loss_semantic_seg: 0.3001, s0.loss_cls: 0.2500, s0.acc: 91.9966, s0.loss_bbox: 0.1302, s0.loss_mask: 0.2617, s1.loss_cls: 0.1194, s1.acc: 92.3156, s1.loss_bbox: 0.1214, s1.loss_mask: 0.1193, s2.loss_cls: 0.0582, s2.acc: 92.3286, s2.loss_bbox: 0.0699, s2.loss_mask: 0.0552, loss: 1.5717 2022-09-12 08:31:24,970 - mmdet - INFO - Epoch [2][4700/7330] lr: 1.000e-04, eta: 3 days, 21:11:58, time: 1.367, data_time: 0.021, memory: 64616, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0421, loss_semantic_seg: 0.2998, s0.loss_cls: 0.2501, s0.acc: 91.8770, s0.loss_bbox: 0.1290, s0.loss_mask: 0.2598, s1.loss_cls: 0.1206, s1.acc: 92.2313, s1.loss_bbox: 0.1242, s1.loss_mask: 0.1194, s2.loss_cls: 0.0585, s2.acc: 92.3211, s2.loss_bbox: 0.0730, s2.loss_mask: 0.0556, loss: 1.5754 2022-09-12 08:32:32,557 - mmdet - INFO - Epoch [2][4750/7330] lr: 1.000e-04, eta: 3 days, 21:11:12, time: 1.352, data_time: 0.024, memory: 64730, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0409, loss_semantic_seg: 0.3043, s0.loss_cls: 0.2496, s0.acc: 91.9287, s0.loss_bbox: 0.1301, s0.loss_mask: 0.2627, s1.loss_cls: 0.1199, s1.acc: 92.2175, s1.loss_bbox: 0.1221, s1.loss_mask: 0.1202, s2.loss_cls: 0.0583, s2.acc: 92.3069, s2.loss_bbox: 0.0705, s2.loss_mask: 0.0556, loss: 1.5804 2022-09-12 08:33:40,417 - mmdet - INFO - Epoch [2][4800/7330] lr: 1.000e-04, eta: 3 days, 21:10:30, time: 1.356, data_time: 0.023, memory: 64730, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0449, loss_semantic_seg: 0.3039, s0.loss_cls: 0.2613, s0.acc: 91.7080, s0.loss_bbox: 0.1314, s0.loss_mask: 0.2623, s1.loss_cls: 0.1235, s1.acc: 92.0397, s1.loss_bbox: 0.1263, s1.loss_mask: 0.1205, s2.loss_cls: 0.0599, s2.acc: 92.1579, s2.loss_bbox: 0.0719, s2.loss_mask: 0.0562, loss: 1.6095 2022-09-12 08:34:47,928 - mmdet - INFO - Epoch [2][4850/7330] lr: 1.000e-04, eta: 3 days, 21:09:43, time: 1.351, data_time: 0.019, memory: 64730, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0418, loss_semantic_seg: 0.2906, s0.loss_cls: 0.2484, s0.acc: 92.0037, s0.loss_bbox: 0.1267, s0.loss_mask: 0.2628, s1.loss_cls: 0.1172, s1.acc: 92.4158, s1.loss_bbox: 0.1202, s1.loss_mask: 0.1210, s2.loss_cls: 0.0569, s2.acc: 92.4271, s2.loss_bbox: 0.0704, s2.loss_mask: 0.0562, loss: 1.5546 2022-09-12 08:35:54,504 - mmdet - INFO - Epoch [2][4900/7330] lr: 1.000e-04, eta: 3 days, 21:08:35, time: 1.332, data_time: 0.018, memory: 64730, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0402, loss_semantic_seg: 0.2848, s0.loss_cls: 0.2456, s0.acc: 92.0110, s0.loss_bbox: 0.1259, s0.loss_mask: 0.2479, s1.loss_cls: 0.1170, s1.acc: 92.3629, s1.loss_bbox: 0.1179, s1.loss_mask: 0.1147, s2.loss_cls: 0.0568, s2.acc: 92.5128, s2.loss_bbox: 0.0682, s2.loss_mask: 0.0533, loss: 1.5155 2022-09-12 08:37:02,629 - mmdet - INFO - Epoch [2][4950/7330] lr: 1.000e-04, eta: 3 days, 21:08:00, time: 1.363, data_time: 0.022, memory: 64730, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0448, loss_semantic_seg: 0.3065, s0.loss_cls: 0.2555, s0.acc: 91.8179, s0.loss_bbox: 0.1334, s0.loss_mask: 0.2653, s1.loss_cls: 0.1196, s1.acc: 92.2256, s1.loss_bbox: 0.1264, s1.loss_mask: 0.1211, s2.loss_cls: 0.0585, s2.acc: 92.2887, s2.loss_bbox: 0.0722, s2.loss_mask: 0.0560, loss: 1.6053 2022-09-12 08:38:09,541 - mmdet - INFO - Epoch [2][5000/7330] lr: 1.000e-04, eta: 3 days, 21:06:59, time: 1.338, data_time: 0.021, memory: 64730, loss_rpn_cls: 0.0414, loss_rpn_bbox: 0.0410, loss_semantic_seg: 0.3032, s0.loss_cls: 0.2600, s0.acc: 91.7969, s0.loss_bbox: 0.1311, s0.loss_mask: 0.2595, s1.loss_cls: 0.1210, s1.acc: 92.2799, s1.loss_bbox: 0.1242, s1.loss_mask: 0.1189, s2.loss_cls: 0.0587, s2.acc: 92.3267, s2.loss_bbox: 0.0707, s2.loss_mask: 0.0552, loss: 1.5849 2022-09-12 08:39:18,089 - mmdet - INFO - Epoch [2][5050/7330] lr: 1.000e-04, eta: 3 days, 21:06:31, time: 1.371, data_time: 0.019, memory: 64730, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0424, loss_semantic_seg: 0.2937, s0.loss_cls: 0.2488, s0.acc: 92.0742, s0.loss_bbox: 0.1288, s0.loss_mask: 0.2638, s1.loss_cls: 0.1164, s1.acc: 92.4678, s1.loss_bbox: 0.1213, s1.loss_mask: 0.1201, s2.loss_cls: 0.0561, s2.acc: 92.5463, s2.loss_bbox: 0.0704, s2.loss_mask: 0.0555, loss: 1.5654 2022-09-12 08:40:27,101 - mmdet - INFO - Epoch [2][5100/7330] lr: 1.000e-04, eta: 3 days, 21:06:11, time: 1.379, data_time: 0.020, memory: 64730, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0465, loss_semantic_seg: 0.2937, s0.loss_cls: 0.2721, s0.acc: 91.1777, s0.loss_bbox: 0.1414, s0.loss_mask: 0.2628, s1.loss_cls: 0.1269, s1.acc: 91.7207, s1.loss_bbox: 0.1320, s1.loss_mask: 0.1199, s2.loss_cls: 0.0606, s2.acc: 91.8344, s2.loss_bbox: 0.0742, s2.loss_mask: 0.0558, loss: 1.6368 2022-09-12 08:41:33,975 - mmdet - INFO - Epoch [2][5150/7330] lr: 1.000e-04, eta: 3 days, 21:05:10, time: 1.339, data_time: 0.023, memory: 64730, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0384, loss_semantic_seg: 0.2917, s0.loss_cls: 0.2396, s0.acc: 92.4238, s0.loss_bbox: 0.1218, s0.loss_mask: 0.2568, s1.loss_cls: 0.1126, s1.acc: 92.8000, s1.loss_bbox: 0.1158, s1.loss_mask: 0.1173, s2.loss_cls: 0.0530, s2.acc: 92.9559, s2.loss_bbox: 0.0660, s2.loss_mask: 0.0543, loss: 1.5053 2022-09-12 08:42:41,220 - mmdet - INFO - Epoch [2][5200/7330] lr: 1.000e-04, eta: 3 days, 21:04:16, time: 1.345, data_time: 0.021, memory: 64730, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0441, loss_semantic_seg: 0.3002, s0.loss_cls: 0.2592, s0.acc: 91.7192, s0.loss_bbox: 0.1348, s0.loss_mask: 0.2600, s1.loss_cls: 0.1214, s1.acc: 92.2052, s1.loss_bbox: 0.1239, s1.loss_mask: 0.1188, s2.loss_cls: 0.0579, s2.acc: 92.4435, s2.loss_bbox: 0.0700, s2.loss_mask: 0.0546, loss: 1.5914 2022-09-12 08:43:49,882 - mmdet - INFO - Epoch [2][5250/7330] lr: 1.000e-04, eta: 3 days, 21:03:47, time: 1.371, data_time: 0.019, memory: 64730, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0454, loss_semantic_seg: 0.2998, s0.loss_cls: 0.2529, s0.acc: 91.7178, s0.loss_bbox: 0.1342, s0.loss_mask: 0.2637, s1.loss_cls: 0.1200, s1.acc: 92.0090, s1.loss_bbox: 0.1265, s1.loss_mask: 0.1201, s2.loss_cls: 0.0583, s2.acc: 92.1483, s2.loss_bbox: 0.0729, s2.loss_mask: 0.0558, loss: 1.5912 2022-09-12 08:44:57,987 - mmdet - INFO - Epoch [2][5300/7330] lr: 1.000e-04, eta: 3 days, 21:03:11, time: 1.364, data_time: 0.025, memory: 64730, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0430, loss_semantic_seg: 0.2837, s0.loss_cls: 0.2565, s0.acc: 91.6460, s0.loss_bbox: 0.1335, s0.loss_mask: 0.2655, s1.loss_cls: 0.1228, s1.acc: 91.8844, s1.loss_bbox: 0.1270, s1.loss_mask: 0.1221, s2.loss_cls: 0.0591, s2.acc: 91.9843, s2.loss_bbox: 0.0742, s2.loss_mask: 0.0568, loss: 1.5881 2022-09-12 08:46:06,417 - mmdet - INFO - Epoch [2][5350/7330] lr: 1.000e-04, eta: 3 days, 21:02:39, time: 1.369, data_time: 0.021, memory: 64730, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0426, loss_semantic_seg: 0.2955, s0.loss_cls: 0.2416, s0.acc: 92.1580, s0.loss_bbox: 0.1270, s0.loss_mask: 0.2607, s1.loss_cls: 0.1139, s1.acc: 92.5890, s1.loss_bbox: 0.1225, s1.loss_mask: 0.1204, s2.loss_cls: 0.0548, s2.acc: 92.6681, s2.loss_bbox: 0.0712, s2.loss_mask: 0.0566, loss: 1.5525 2022-09-12 08:47:14,270 - mmdet - INFO - Epoch [2][5400/7330] lr: 1.000e-04, eta: 3 days, 21:01:56, time: 1.357, data_time: 0.020, memory: 64730, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0438, loss_semantic_seg: 0.2873, s0.loss_cls: 0.2497, s0.acc: 91.9255, s0.loss_bbox: 0.1305, s0.loss_mask: 0.2567, s1.loss_cls: 0.1184, s1.acc: 92.2359, s1.loss_bbox: 0.1261, s1.loss_mask: 0.1183, s2.loss_cls: 0.0579, s2.acc: 92.3070, s2.loss_bbox: 0.0742, s2.loss_mask: 0.0548, loss: 1.5628 2022-09-12 08:48:21,852 - mmdet - INFO - Epoch [2][5450/7330] lr: 1.000e-04, eta: 3 days, 21:01:07, time: 1.352, data_time: 0.025, memory: 64730, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0438, loss_semantic_seg: 0.3021, s0.loss_cls: 0.2560, s0.acc: 91.7908, s0.loss_bbox: 0.1305, s0.loss_mask: 0.2675, s1.loss_cls: 0.1208, s1.acc: 92.1380, s1.loss_bbox: 0.1243, s1.loss_mask: 0.1215, s2.loss_cls: 0.0590, s2.acc: 92.1600, s2.loss_bbox: 0.0719, s2.loss_mask: 0.0562, loss: 1.5997 2022-09-12 08:49:28,455 - mmdet - INFO - Epoch [2][5500/7330] lr: 1.000e-04, eta: 3 days, 20:59:59, time: 1.332, data_time: 0.021, memory: 64730, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0407, loss_semantic_seg: 0.2924, s0.loss_cls: 0.2448, s0.acc: 92.1045, s0.loss_bbox: 0.1262, s0.loss_mask: 0.2559, s1.loss_cls: 0.1161, s1.acc: 92.5108, s1.loss_bbox: 0.1219, s1.loss_mask: 0.1162, s2.loss_cls: 0.0558, s2.acc: 92.6787, s2.loss_bbox: 0.0709, s2.loss_mask: 0.0539, loss: 1.5379 2022-09-12 08:50:35,511 - mmdet - INFO - Epoch [2][5550/7330] lr: 1.000e-04, eta: 3 days, 20:59:00, time: 1.341, data_time: 0.025, memory: 64730, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0414, loss_semantic_seg: 0.2855, s0.loss_cls: 0.2319, s0.acc: 92.3188, s0.loss_bbox: 0.1246, s0.loss_mask: 0.2543, s1.loss_cls: 0.1096, s1.acc: 92.7792, s1.loss_bbox: 0.1193, s1.loss_mask: 0.1170, s2.loss_cls: 0.0525, s2.acc: 92.9326, s2.loss_bbox: 0.0689, s2.loss_mask: 0.0541, loss: 1.5021 2022-09-12 08:51:42,107 - mmdet - INFO - Epoch [2][5600/7330] lr: 1.000e-04, eta: 3 days, 20:57:51, time: 1.332, data_time: 0.025, memory: 64730, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0409, loss_semantic_seg: 0.2973, s0.loss_cls: 0.2441, s0.acc: 92.0950, s0.loss_bbox: 0.1273, s0.loss_mask: 0.2540, s1.loss_cls: 0.1148, s1.acc: 92.4471, s1.loss_bbox: 0.1224, s1.loss_mask: 0.1174, s2.loss_cls: 0.0562, s2.acc: 92.4400, s2.loss_bbox: 0.0703, s2.loss_mask: 0.0543, loss: 1.5468 2022-09-12 08:52:50,125 - mmdet - INFO - Epoch [2][5650/7330] lr: 1.000e-04, eta: 3 days, 20:57:10, time: 1.360, data_time: 0.019, memory: 64730, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0423, loss_semantic_seg: 0.2844, s0.loss_cls: 0.2426, s0.acc: 92.0391, s0.loss_bbox: 0.1307, s0.loss_mask: 0.2643, s1.loss_cls: 0.1150, s1.acc: 92.4642, s1.loss_bbox: 0.1252, s1.loss_mask: 0.1213, s2.loss_cls: 0.0549, s2.acc: 92.5705, s2.loss_bbox: 0.0712, s2.loss_mask: 0.0559, loss: 1.5546 2022-09-12 08:53:58,251 - mmdet - INFO - Epoch [2][5700/7330] lr: 1.000e-04, eta: 3 days, 20:56:31, time: 1.363, data_time: 0.025, memory: 64730, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0430, loss_semantic_seg: 0.2891, s0.loss_cls: 0.2387, s0.acc: 92.1924, s0.loss_bbox: 0.1268, s0.loss_mask: 0.2565, s1.loss_cls: 0.1131, s1.acc: 92.5683, s1.loss_bbox: 0.1215, s1.loss_mask: 0.1173, s2.loss_cls: 0.0551, s2.acc: 92.5504, s2.loss_bbox: 0.0707, s2.loss_mask: 0.0547, loss: 1.5309 2022-09-12 08:55:04,933 - mmdet - INFO - Epoch [2][5750/7330] lr: 1.000e-04, eta: 3 days, 20:55:25, time: 1.334, data_time: 0.022, memory: 64730, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0421, loss_semantic_seg: 0.3000, s0.loss_cls: 0.2495, s0.acc: 91.9490, s0.loss_bbox: 0.1294, s0.loss_mask: 0.2651, s1.loss_cls: 0.1167, s1.acc: 92.4403, s1.loss_bbox: 0.1218, s1.loss_mask: 0.1225, s2.loss_cls: 0.0563, s2.acc: 92.5534, s2.loss_bbox: 0.0710, s2.loss_mask: 0.0568, loss: 1.5724 2022-09-12 08:56:12,246 - mmdet - INFO - Epoch [2][5800/7330] lr: 1.000e-04, eta: 3 days, 20:54:30, time: 1.346, data_time: 0.019, memory: 64730, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0427, loss_semantic_seg: 0.2910, s0.loss_cls: 0.2402, s0.acc: 92.0818, s0.loss_bbox: 0.1299, s0.loss_mask: 0.2617, s1.loss_cls: 0.1137, s1.acc: 92.5110, s1.loss_bbox: 0.1248, s1.loss_mask: 0.1208, s2.loss_cls: 0.0558, s2.acc: 92.5770, s2.loss_bbox: 0.0727, s2.loss_mask: 0.0560, loss: 1.5553 2022-09-12 08:57:20,217 - mmdet - INFO - Epoch [2][5850/7330] lr: 1.000e-04, eta: 3 days, 20:53:47, time: 1.359, data_time: 0.017, memory: 64734, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0418, loss_semantic_seg: 0.2925, s0.loss_cls: 0.2477, s0.acc: 91.9688, s0.loss_bbox: 0.1311, s0.loss_mask: 0.2632, s1.loss_cls: 0.1181, s1.acc: 92.2800, s1.loss_bbox: 0.1233, s1.loss_mask: 0.1211, s2.loss_cls: 0.0570, s2.acc: 92.2315, s2.loss_bbox: 0.0710, s2.loss_mask: 0.0566, loss: 1.5680 2022-09-12 08:58:28,339 - mmdet - INFO - Epoch [2][5900/7330] lr: 1.000e-04, eta: 3 days, 20:53:08, time: 1.362, data_time: 0.022, memory: 64734, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0433, loss_semantic_seg: 0.2979, s0.loss_cls: 0.2487, s0.acc: 91.9353, s0.loss_bbox: 0.1296, s0.loss_mask: 0.2610, s1.loss_cls: 0.1177, s1.acc: 92.3604, s1.loss_bbox: 0.1235, s1.loss_mask: 0.1190, s2.loss_cls: 0.0568, s2.acc: 92.4634, s2.loss_bbox: 0.0696, s2.loss_mask: 0.0551, loss: 1.5670 2022-09-12 08:59:35,714 - mmdet - INFO - Epoch [2][5950/7330] lr: 1.000e-04, eta: 3 days, 20:52:13, time: 1.348, data_time: 0.022, memory: 64734, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0429, loss_semantic_seg: 0.2871, s0.loss_cls: 0.2536, s0.acc: 91.8501, s0.loss_bbox: 0.1274, s0.loss_mask: 0.2594, s1.loss_cls: 0.1199, s1.acc: 92.2245, s1.loss_bbox: 0.1214, s1.loss_mask: 0.1190, s2.loss_cls: 0.0580, s2.acc: 92.1816, s2.loss_bbox: 0.0705, s2.loss_mask: 0.0553, loss: 1.5592 2022-09-12 09:00:43,594 - mmdet - INFO - Epoch [2][6000/7330] lr: 1.000e-04, eta: 3 days, 20:51:29, time: 1.358, data_time: 0.021, memory: 64734, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0424, loss_semantic_seg: 0.2819, s0.loss_cls: 0.2484, s0.acc: 91.8643, s0.loss_bbox: 0.1273, s0.loss_mask: 0.2557, s1.loss_cls: 0.1174, s1.acc: 92.2437, s1.loss_bbox: 0.1228, s1.loss_mask: 0.1173, s2.loss_cls: 0.0567, s2.acc: 92.3042, s2.loss_bbox: 0.0710, s2.loss_mask: 0.0543, loss: 1.5388 2022-09-12 09:01:50,908 - mmdet - INFO - Epoch [2][6050/7330] lr: 1.000e-04, eta: 3 days, 20:50:33, time: 1.346, data_time: 0.023, memory: 64734, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0392, loss_semantic_seg: 0.2742, s0.loss_cls: 0.2294, s0.acc: 92.5408, s0.loss_bbox: 0.1221, s0.loss_mask: 0.2550, s1.loss_cls: 0.1056, s1.acc: 93.0706, s1.loss_bbox: 0.1150, s1.loss_mask: 0.1169, s2.loss_cls: 0.0508, s2.acc: 93.1321, s2.loss_bbox: 0.0661, s2.loss_mask: 0.0539, loss: 1.4680 2022-09-12 09:02:57,884 - mmdet - INFO - Epoch [2][6100/7330] lr: 1.000e-04, eta: 3 days, 20:49:32, time: 1.340, data_time: 0.023, memory: 64734, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0413, loss_semantic_seg: 0.2952, s0.loss_cls: 0.2414, s0.acc: 92.2219, s0.loss_bbox: 0.1232, s0.loss_mask: 0.2502, s1.loss_cls: 0.1143, s1.acc: 92.5564, s1.loss_bbox: 0.1196, s1.loss_mask: 0.1158, s2.loss_cls: 0.0554, s2.acc: 92.5442, s2.loss_bbox: 0.0695, s2.loss_mask: 0.0541, loss: 1.5213 2022-09-12 09:04:05,106 - mmdet - INFO - Epoch [2][6150/7330] lr: 1.000e-04, eta: 3 days, 20:48:34, time: 1.344, data_time: 0.022, memory: 64734, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0419, loss_semantic_seg: 0.2935, s0.loss_cls: 0.2555, s0.acc: 91.7620, s0.loss_bbox: 0.1283, s0.loss_mask: 0.2546, s1.loss_cls: 0.1186, s1.acc: 92.1562, s1.loss_bbox: 0.1240, s1.loss_mask: 0.1165, s2.loss_cls: 0.0576, s2.acc: 92.2940, s2.loss_bbox: 0.0712, s2.loss_mask: 0.0539, loss: 1.5607 2022-09-12 09:05:14,243 - mmdet - INFO - Epoch [2][6200/7330] lr: 1.000e-04, eta: 3 days, 20:48:12, time: 1.383, data_time: 0.024, memory: 64734, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0437, loss_semantic_seg: 0.2830, s0.loss_cls: 0.2538, s0.acc: 91.8843, s0.loss_bbox: 0.1314, s0.loss_mask: 0.2555, s1.loss_cls: 0.1176, s1.acc: 92.4349, s1.loss_bbox: 0.1238, s1.loss_mask: 0.1167, s2.loss_cls: 0.0573, s2.acc: 92.3792, s2.loss_bbox: 0.0711, s2.loss_mask: 0.0539, loss: 1.5511 2022-09-12 09:06:21,835 - mmdet - INFO - Epoch [2][6250/7330] lr: 1.000e-04, eta: 3 days, 20:47:22, time: 1.352, data_time: 0.020, memory: 64734, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0406, loss_semantic_seg: 0.2883, s0.loss_cls: 0.2387, s0.acc: 92.2417, s0.loss_bbox: 0.1244, s0.loss_mask: 0.2547, s1.loss_cls: 0.1129, s1.acc: 92.4794, s1.loss_bbox: 0.1191, s1.loss_mask: 0.1173, s2.loss_cls: 0.0555, s2.acc: 92.4271, s2.loss_bbox: 0.0697, s2.loss_mask: 0.0546, loss: 1.5188 2022-09-12 09:07:31,066 - mmdet - INFO - Epoch [2][6300/7330] lr: 1.000e-04, eta: 3 days, 20:47:01, time: 1.385, data_time: 0.022, memory: 64734, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0438, loss_semantic_seg: 0.2866, s0.loss_cls: 0.2480, s0.acc: 91.7483, s0.loss_bbox: 0.1310, s0.loss_mask: 0.2539, s1.loss_cls: 0.1178, s1.acc: 92.1514, s1.loss_bbox: 0.1280, s1.loss_mask: 0.1171, s2.loss_cls: 0.0578, s2.acc: 92.0974, s2.loss_bbox: 0.0740, s2.loss_mask: 0.0543, loss: 1.5579 2022-09-12 09:08:38,085 - mmdet - INFO - Epoch [2][6350/7330] lr: 1.000e-04, eta: 3 days, 20:45:59, time: 1.340, data_time: 0.019, memory: 64734, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0408, loss_semantic_seg: 0.2897, s0.loss_cls: 0.2565, s0.acc: 91.7590, s0.loss_bbox: 0.1275, s0.loss_mask: 0.2501, s1.loss_cls: 0.1201, s1.acc: 92.2756, s1.loss_bbox: 0.1208, s1.loss_mask: 0.1139, s2.loss_cls: 0.0580, s2.acc: 92.3671, s2.loss_bbox: 0.0700, s2.loss_mask: 0.0528, loss: 1.5429 2022-09-12 09:09:46,876 - mmdet - INFO - Epoch [2][6400/7330] lr: 1.000e-04, eta: 3 days, 20:45:30, time: 1.376, data_time: 0.025, memory: 64734, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0410, loss_semantic_seg: 0.2953, s0.loss_cls: 0.2460, s0.acc: 91.9626, s0.loss_bbox: 0.1276, s0.loss_mask: 0.2569, s1.loss_cls: 0.1170, s1.acc: 92.3240, s1.loss_bbox: 0.1211, s1.loss_mask: 0.1180, s2.loss_cls: 0.0568, s2.acc: 92.4509, s2.loss_bbox: 0.0696, s2.loss_mask: 0.0547, loss: 1.5439 2022-09-12 09:10:55,278 - mmdet - INFO - Epoch [2][6450/7330] lr: 1.000e-04, eta: 3 days, 20:44:53, time: 1.368, data_time: 0.019, memory: 64734, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0391, loss_semantic_seg: 0.3017, s0.loss_cls: 0.2364, s0.acc: 92.3455, s0.loss_bbox: 0.1234, s0.loss_mask: 0.2543, s1.loss_cls: 0.1115, s1.acc: 92.7608, s1.loss_bbox: 0.1193, s1.loss_mask: 0.1160, s2.loss_cls: 0.0548, s2.acc: 92.7998, s2.loss_bbox: 0.0711, s2.loss_mask: 0.0542, loss: 1.5231 2022-09-12 09:12:02,953 - mmdet - INFO - Epoch [2][6500/7330] lr: 1.000e-04, eta: 3 days, 20:44:02, time: 1.352, data_time: 0.019, memory: 64734, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0371, loss_semantic_seg: 0.2878, s0.loss_cls: 0.2317, s0.acc: 92.2986, s0.loss_bbox: 0.1223, s0.loss_mask: 0.2489, s1.loss_cls: 0.1106, s1.acc: 92.5620, s1.loss_bbox: 0.1190, s1.loss_mask: 0.1146, s2.loss_cls: 0.0541, s2.acc: 92.5999, s2.loss_bbox: 0.0697, s2.loss_mask: 0.0527, loss: 1.4861 2022-09-12 09:13:10,440 - mmdet - INFO - Epoch [2][6550/7330] lr: 1.000e-04, eta: 3 days, 20:43:10, time: 1.351, data_time: 0.019, memory: 64734, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0413, loss_semantic_seg: 0.2868, s0.loss_cls: 0.2376, s0.acc: 92.2278, s0.loss_bbox: 0.1250, s0.loss_mask: 0.2548, s1.loss_cls: 0.1115, s1.acc: 92.5601, s1.loss_bbox: 0.1191, s1.loss_mask: 0.1185, s2.loss_cls: 0.0546, s2.acc: 92.5723, s2.loss_bbox: 0.0692, s2.loss_mask: 0.0550, loss: 1.5156 2022-09-12 09:14:17,358 - mmdet - INFO - Epoch [2][6600/7330] lr: 1.000e-04, eta: 3 days, 20:42:05, time: 1.338, data_time: 0.025, memory: 64734, loss_rpn_cls: 0.0417, loss_rpn_bbox: 0.0405, loss_semantic_seg: 0.2769, s0.loss_cls: 0.2429, s0.acc: 91.9612, s0.loss_bbox: 0.1266, s0.loss_mask: 0.2577, s1.loss_cls: 0.1157, s1.acc: 92.3644, s1.loss_bbox: 0.1227, s1.loss_mask: 0.1196, s2.loss_cls: 0.0562, s2.acc: 92.4353, s2.loss_bbox: 0.0721, s2.loss_mask: 0.0556, loss: 1.5281 2022-09-12 09:15:25,952 - mmdet - INFO - Epoch [2][6650/7330] lr: 1.000e-04, eta: 3 days, 20:41:32, time: 1.372, data_time: 0.017, memory: 64734, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0446, loss_semantic_seg: 0.2850, s0.loss_cls: 0.2477, s0.acc: 91.9041, s0.loss_bbox: 0.1290, s0.loss_mask: 0.2558, s1.loss_cls: 0.1177, s1.acc: 92.2625, s1.loss_bbox: 0.1243, s1.loss_mask: 0.1176, s2.loss_cls: 0.0573, s2.acc: 92.2640, s2.loss_bbox: 0.0722, s2.loss_mask: 0.0543, loss: 1.5500 2022-09-12 09:16:33,923 - mmdet - INFO - Epoch [2][6700/7330] lr: 1.000e-04, eta: 3 days, 20:40:46, time: 1.359, data_time: 0.024, memory: 64734, loss_rpn_cls: 0.0417, loss_rpn_bbox: 0.0388, loss_semantic_seg: 0.2794, s0.loss_cls: 0.2386, s0.acc: 92.1301, s0.loss_bbox: 0.1248, s0.loss_mask: 0.2451, s1.loss_cls: 0.1127, s1.acc: 92.4444, s1.loss_bbox: 0.1223, s1.loss_mask: 0.1138, s2.loss_cls: 0.0549, s2.acc: 92.5544, s2.loss_bbox: 0.0723, s2.loss_mask: 0.0535, loss: 1.4978 2022-09-12 09:17:43,010 - mmdet - INFO - Epoch [2][6750/7330] lr: 1.000e-04, eta: 3 days, 20:40:21, time: 1.382, data_time: 0.021, memory: 64734, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0411, loss_semantic_seg: 0.2927, s0.loss_cls: 0.2328, s0.acc: 92.4124, s0.loss_bbox: 0.1223, s0.loss_mask: 0.2516, s1.loss_cls: 0.1125, s1.acc: 92.6777, s1.loss_bbox: 0.1182, s1.loss_mask: 0.1160, s2.loss_cls: 0.0546, s2.acc: 92.7094, s2.loss_bbox: 0.0684, s2.loss_mask: 0.0537, loss: 1.5047 2022-09-12 09:18:51,512 - mmdet - INFO - Epoch [2][6800/7330] lr: 1.000e-04, eta: 3 days, 20:39:43, time: 1.369, data_time: 0.026, memory: 64734, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0422, loss_semantic_seg: 0.2898, s0.loss_cls: 0.2446, s0.acc: 92.1824, s0.loss_bbox: 0.1267, s0.loss_mask: 0.2583, s1.loss_cls: 0.1172, s1.acc: 92.5090, s1.loss_bbox: 0.1217, s1.loss_mask: 0.1179, s2.loss_cls: 0.0563, s2.acc: 92.6081, s2.loss_bbox: 0.0690, s2.loss_mask: 0.0546, loss: 1.5408 2022-09-12 09:19:58,428 - mmdet - INFO - Epoch [2][6850/7330] lr: 1.000e-04, eta: 3 days, 20:38:40, time: 1.340, data_time: 0.023, memory: 64734, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0433, loss_semantic_seg: 0.3109, s0.loss_cls: 0.2503, s0.acc: 92.0220, s0.loss_bbox: 0.1270, s0.loss_mask: 0.2667, s1.loss_cls: 0.1190, s1.acc: 92.3478, s1.loss_bbox: 0.1216, s1.loss_mask: 0.1228, s2.loss_cls: 0.0570, s2.acc: 92.5319, s2.loss_bbox: 0.0697, s2.loss_mask: 0.0567, loss: 1.5926 2022-09-12 09:21:05,819 - mmdet - INFO - Epoch [2][6900/7330] lr: 1.000e-04, eta: 3 days, 20:37:44, time: 1.348, data_time: 0.020, memory: 64734, loss_rpn_cls: 0.0417, loss_rpn_bbox: 0.0395, loss_semantic_seg: 0.2861, s0.loss_cls: 0.2342, s0.acc: 92.2708, s0.loss_bbox: 0.1262, s0.loss_mask: 0.2614, s1.loss_cls: 0.1103, s1.acc: 92.7745, s1.loss_bbox: 0.1200, s1.loss_mask: 0.1185, s2.loss_cls: 0.0544, s2.acc: 92.7870, s2.loss_bbox: 0.0695, s2.loss_mask: 0.0553, loss: 1.5171 2022-09-12 09:22:12,679 - mmdet - INFO - Epoch [2][6950/7330] lr: 1.000e-04, eta: 3 days, 20:36:38, time: 1.337, data_time: 0.017, memory: 64734, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0408, loss_semantic_seg: 0.2758, s0.loss_cls: 0.2191, s0.acc: 92.6729, s0.loss_bbox: 0.1189, s0.loss_mask: 0.2546, s1.loss_cls: 0.1065, s1.acc: 92.9276, s1.loss_bbox: 0.1164, s1.loss_mask: 0.1181, s2.loss_cls: 0.0524, s2.acc: 92.8868, s2.loss_bbox: 0.0681, s2.loss_mask: 0.0545, loss: 1.4653 2022-09-12 09:23:21,206 - mmdet - INFO - Epoch [2][7000/7330] lr: 1.000e-04, eta: 3 days, 20:36:02, time: 1.371, data_time: 0.019, memory: 64734, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0411, loss_semantic_seg: 0.3024, s0.loss_cls: 0.2439, s0.acc: 92.0977, s0.loss_bbox: 0.1233, s0.loss_mask: 0.2540, s1.loss_cls: 0.1144, s1.acc: 92.5836, s1.loss_bbox: 0.1171, s1.loss_mask: 0.1163, s2.loss_cls: 0.0550, s2.acc: 92.6639, s2.loss_bbox: 0.0674, s2.loss_mask: 0.0536, loss: 1.5293 2022-09-12 09:24:29,397 - mmdet - INFO - Epoch [2][7050/7330] lr: 1.000e-04, eta: 3 days, 20:35:19, time: 1.364, data_time: 0.022, memory: 64734, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0394, loss_semantic_seg: 0.2848, s0.loss_cls: 0.2454, s0.acc: 91.9890, s0.loss_bbox: 0.1277, s0.loss_mask: 0.2514, s1.loss_cls: 0.1155, s1.acc: 92.4294, s1.loss_bbox: 0.1212, s1.loss_mask: 0.1155, s2.loss_cls: 0.0552, s2.acc: 92.6130, s2.loss_bbox: 0.0711, s2.loss_mask: 0.0533, loss: 1.5206 2022-09-12 09:25:36,883 - mmdet - INFO - Epoch [2][7100/7330] lr: 1.000e-04, eta: 3 days, 20:34:24, time: 1.350, data_time: 0.019, memory: 64734, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0397, loss_semantic_seg: 0.2829, s0.loss_cls: 0.2429, s0.acc: 92.0884, s0.loss_bbox: 0.1241, s0.loss_mask: 0.2569, s1.loss_cls: 0.1157, s1.acc: 92.4027, s1.loss_bbox: 0.1191, s1.loss_mask: 0.1193, s2.loss_cls: 0.0557, s2.acc: 92.5036, s2.loss_bbox: 0.0697, s2.loss_mask: 0.0552, loss: 1.5247 2022-09-12 09:26:44,747 - mmdet - INFO - Epoch [2][7150/7330] lr: 1.000e-04, eta: 3 days, 20:33:36, time: 1.357, data_time: 0.021, memory: 64734, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0422, loss_semantic_seg: 0.2871, s0.loss_cls: 0.2437, s0.acc: 91.9705, s0.loss_bbox: 0.1245, s0.loss_mask: 0.2544, s1.loss_cls: 0.1147, s1.acc: 92.3722, s1.loss_bbox: 0.1229, s1.loss_mask: 0.1174, s2.loss_cls: 0.0561, s2.acc: 92.4486, s2.loss_bbox: 0.0724, s2.loss_mask: 0.0554, loss: 1.5326 2022-09-12 09:27:52,709 - mmdet - INFO - Epoch [2][7200/7330] lr: 1.000e-04, eta: 3 days, 20:32:49, time: 1.359, data_time: 0.030, memory: 64734, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0434, loss_semantic_seg: 0.2882, s0.loss_cls: 0.2467, s0.acc: 91.9521, s0.loss_bbox: 0.1268, s0.loss_mask: 0.2632, s1.loss_cls: 0.1189, s1.acc: 92.1692, s1.loss_bbox: 0.1231, s1.loss_mask: 0.1203, s2.loss_cls: 0.0577, s2.acc: 92.2725, s2.loss_bbox: 0.0725, s2.loss_mask: 0.0559, loss: 1.5586 2022-09-12 09:29:00,038 - mmdet - INFO - Epoch [2][7250/7330] lr: 1.000e-04, eta: 3 days, 20:31:51, time: 1.347, data_time: 0.025, memory: 64734, loss_rpn_cls: 0.0404, loss_rpn_bbox: 0.0422, loss_semantic_seg: 0.2770, s0.loss_cls: 0.2391, s0.acc: 92.3206, s0.loss_bbox: 0.1271, s0.loss_mask: 0.2537, s1.loss_cls: 0.1129, s1.acc: 92.7913, s1.loss_bbox: 0.1208, s1.loss_mask: 0.1168, s2.loss_cls: 0.0551, s2.acc: 92.8740, s2.loss_bbox: 0.0710, s2.loss_mask: 0.0541, loss: 1.5103 2022-09-12 09:30:07,697 - mmdet - INFO - Epoch [2][7300/7330] lr: 1.000e-04, eta: 3 days, 20:30:59, time: 1.353, data_time: 0.018, memory: 64734, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0407, loss_semantic_seg: 0.2805, s0.loss_cls: 0.2510, s0.acc: 91.9490, s0.loss_bbox: 0.1285, s0.loss_mask: 0.2558, s1.loss_cls: 0.1204, s1.acc: 92.2483, s1.loss_bbox: 0.1247, s1.loss_mask: 0.1177, s2.loss_cls: 0.0581, s2.acc: 92.2875, s2.loss_bbox: 0.0728, s2.loss_mask: 0.0543, loss: 1.5464 2022-09-12 09:30:57,821 - mmdet - INFO - Saving checkpoint at 2 epochs 2022-09-12 09:34:46,186 - mmdet - INFO - Evaluating bbox... 2022-09-12 09:35:53,944 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.400 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.585 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.445 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.293 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.439 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.466 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.612 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.612 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.612 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.455 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.654 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.731 2022-09-12 09:35:53,944 - mmdet - INFO - Evaluating segm... 2022-09-12 09:37:16,897 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.362 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.566 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.392 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.211 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.407 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.480 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.542 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.542 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.542 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.375 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.585 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.674 2022-09-12 09:37:18,425 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 09:37:18,427 - mmdet - INFO - Epoch(val) [2][313] bbox_mAP: 0.4000, bbox_mAP_50: 0.5850, bbox_mAP_75: 0.4450, bbox_mAP_s: 0.2930, bbox_mAP_m: 0.4390, bbox_mAP_l: 0.4660, bbox_mAP_copypaste: 0.400 0.585 0.445 0.293 0.439 0.466, segm_mAP: 0.3620, segm_mAP_50: 0.5660, segm_mAP_75: 0.3920, segm_mAP_s: 0.2110, segm_mAP_m: 0.4070, segm_mAP_l: 0.4800, segm_mAP_copypaste: 0.362 0.566 0.392 0.211 0.407 0.480 2022-09-12 09:40:23,103 - mmdet - INFO - Epoch [3][50/7330] lr: 1.000e-04, eta: 3 days, 20:51:09, time: 3.693, data_time: 2.312, memory: 64734, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0412, loss_semantic_seg: 0.2748, s0.loss_cls: 0.2287, s0.acc: 92.3103, s0.loss_bbox: 0.1255, s0.loss_mask: 0.2495, s1.loss_cls: 0.1092, s1.acc: 92.7078, s1.loss_bbox: 0.1209, s1.loss_mask: 0.1149, s2.loss_cls: 0.0527, s2.acc: 92.8988, s2.loss_bbox: 0.0712, s2.loss_mask: 0.0533, loss: 1.4804 2022-09-12 09:41:31,038 - mmdet - INFO - Epoch [3][100/7330] lr: 1.000e-04, eta: 3 days, 20:50:16, time: 1.359, data_time: 0.029, memory: 64734, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0399, loss_semantic_seg: 0.2853, s0.loss_cls: 0.2321, s0.acc: 92.4138, s0.loss_bbox: 0.1246, s0.loss_mask: 0.2548, s1.loss_cls: 0.1095, s1.acc: 92.7833, s1.loss_bbox: 0.1178, s1.loss_mask: 0.1167, s2.loss_cls: 0.0532, s2.acc: 92.8346, s2.loss_bbox: 0.0681, s2.loss_mask: 0.0539, loss: 1.4953 2022-09-12 09:42:38,583 - mmdet - INFO - Epoch [3][150/7330] lr: 1.000e-04, eta: 3 days, 20:49:15, time: 1.349, data_time: 0.022, memory: 64734, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0430, loss_semantic_seg: 0.2801, s0.loss_cls: 0.2324, s0.acc: 92.2244, s0.loss_bbox: 0.1237, s0.loss_mask: 0.2506, s1.loss_cls: 0.1098, s1.acc: 92.6261, s1.loss_bbox: 0.1175, s1.loss_mask: 0.1139, s2.loss_cls: 0.0534, s2.acc: 92.6591, s2.loss_bbox: 0.0679, s2.loss_mask: 0.0522, loss: 1.4866 2022-09-12 09:43:47,132 - mmdet - INFO - Epoch [3][200/7330] lr: 1.000e-04, eta: 3 days, 20:48:34, time: 1.373, data_time: 0.024, memory: 64734, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0396, loss_semantic_seg: 0.2681, s0.loss_cls: 0.2314, s0.acc: 92.3875, s0.loss_bbox: 0.1215, s0.loss_mask: 0.2501, s1.loss_cls: 0.1089, s1.acc: 92.7753, s1.loss_bbox: 0.1178, s1.loss_mask: 0.1154, s2.loss_cls: 0.0525, s2.acc: 92.9658, s2.loss_bbox: 0.0691, s2.loss_mask: 0.0533, loss: 1.4663 2022-09-12 09:44:55,300 - mmdet - INFO - Epoch [3][250/7330] lr: 1.000e-04, eta: 3 days, 20:47:45, time: 1.363, data_time: 0.025, memory: 64734, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0405, loss_semantic_seg: 0.2785, s0.loss_cls: 0.2275, s0.acc: 92.5461, s0.loss_bbox: 0.1210, s0.loss_mask: 0.2491, s1.loss_cls: 0.1080, s1.acc: 92.8997, s1.loss_bbox: 0.1172, s1.loss_mask: 0.1141, s2.loss_cls: 0.0527, s2.acc: 92.8593, s2.loss_bbox: 0.0672, s2.loss_mask: 0.0527, loss: 1.4703 2022-09-12 09:46:03,567 - mmdet - INFO - Epoch [3][300/7330] lr: 1.000e-04, eta: 3 days, 20:46:58, time: 1.365, data_time: 0.016, memory: 64734, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0428, loss_semantic_seg: 0.2858, s0.loss_cls: 0.2323, s0.acc: 92.2290, s0.loss_bbox: 0.1259, s0.loss_mask: 0.2535, s1.loss_cls: 0.1087, s1.acc: 92.6445, s1.loss_bbox: 0.1216, s1.loss_mask: 0.1161, s2.loss_cls: 0.0530, s2.acc: 92.6896, s2.loss_bbox: 0.0703, s2.loss_mask: 0.0539, loss: 1.5061 2022-09-12 09:47:11,435 - mmdet - INFO - Epoch [3][350/7330] lr: 1.000e-04, eta: 3 days, 20:46:03, time: 1.357, data_time: 0.022, memory: 64734, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0392, loss_semantic_seg: 0.2879, s0.loss_cls: 0.2301, s0.acc: 92.4182, s0.loss_bbox: 0.1236, s0.loss_mask: 0.2451, s1.loss_cls: 0.1090, s1.acc: 92.7251, s1.loss_bbox: 0.1182, s1.loss_mask: 0.1140, s2.loss_cls: 0.0532, s2.acc: 92.8242, s2.loss_bbox: 0.0685, s2.loss_mask: 0.0529, loss: 1.4813 2022-09-12 09:48:18,289 - mmdet - INFO - Epoch [3][400/7330] lr: 1.000e-04, eta: 3 days, 20:44:52, time: 1.337, data_time: 0.021, memory: 64734, loss_rpn_cls: 0.0391, loss_rpn_bbox: 0.0406, loss_semantic_seg: 0.2774, s0.loss_cls: 0.2310, s0.acc: 92.3113, s0.loss_bbox: 0.1236, s0.loss_mask: 0.2495, s1.loss_cls: 0.1094, s1.acc: 92.7144, s1.loss_bbox: 0.1184, s1.loss_mask: 0.1145, s2.loss_cls: 0.0540, s2.acc: 92.7221, s2.loss_bbox: 0.0702, s2.loss_mask: 0.0527, loss: 1.4803 2022-09-12 09:49:26,223 - mmdet - INFO - Epoch [3][450/7330] lr: 1.000e-04, eta: 3 days, 20:43:59, time: 1.359, data_time: 0.024, memory: 64734, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0419, loss_semantic_seg: 0.2656, s0.loss_cls: 0.2279, s0.acc: 92.4041, s0.loss_bbox: 0.1249, s0.loss_mask: 0.2585, s1.loss_cls: 0.1076, s1.acc: 92.6215, s1.loss_bbox: 0.1175, s1.loss_mask: 0.1185, s2.loss_cls: 0.0525, s2.acc: 92.7583, s2.loss_bbox: 0.0682, s2.loss_mask: 0.0547, loss: 1.4816 2022-09-12 09:50:35,172 - mmdet - INFO - Epoch [3][500/7330] lr: 1.000e-04, eta: 3 days, 20:43:22, time: 1.379, data_time: 0.017, memory: 64734, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0426, loss_semantic_seg: 0.2699, s0.loss_cls: 0.2208, s0.acc: 92.5803, s0.loss_bbox: 0.1245, s0.loss_mask: 0.2523, s1.loss_cls: 0.1028, s1.acc: 93.0310, s1.loss_bbox: 0.1197, s1.loss_mask: 0.1160, s2.loss_cls: 0.0501, s2.acc: 92.9775, s2.loss_bbox: 0.0702, s2.loss_mask: 0.0542, loss: 1.4654 2022-09-12 09:51:42,176 - mmdet - INFO - Epoch [3][550/7330] lr: 1.000e-04, eta: 3 days, 20:42:14, time: 1.340, data_time: 0.026, memory: 64734, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0397, loss_semantic_seg: 0.2748, s0.loss_cls: 0.2318, s0.acc: 92.2537, s0.loss_bbox: 0.1241, s0.loss_mask: 0.2468, s1.loss_cls: 0.1073, s1.acc: 92.7411, s1.loss_bbox: 0.1202, s1.loss_mask: 0.1137, s2.loss_cls: 0.0525, s2.acc: 92.6882, s2.loss_bbox: 0.0705, s2.loss_mask: 0.0528, loss: 1.4740 2022-09-12 09:52:49,542 - mmdet - INFO - Epoch [3][600/7330] lr: 1.000e-04, eta: 3 days, 20:41:11, time: 1.347, data_time: 0.022, memory: 64734, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0390, loss_semantic_seg: 0.2633, s0.loss_cls: 0.2134, s0.acc: 92.7764, s0.loss_bbox: 0.1161, s0.loss_mask: 0.2439, s1.loss_cls: 0.0989, s1.acc: 93.2582, s1.loss_bbox: 0.1133, s1.loss_mask: 0.1128, s2.loss_cls: 0.0487, s2.acc: 93.2548, s2.loss_bbox: 0.0672, s2.loss_mask: 0.0525, loss: 1.4075 2022-09-12 09:53:57,366 - mmdet - INFO - Epoch [3][650/7330] lr: 1.000e-04, eta: 3 days, 20:40:15, time: 1.357, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0393, loss_semantic_seg: 0.2797, s0.loss_cls: 0.2251, s0.acc: 92.4055, s0.loss_bbox: 0.1234, s0.loss_mask: 0.2496, s1.loss_cls: 0.1053, s1.acc: 92.9670, s1.loss_bbox: 0.1178, s1.loss_mask: 0.1148, s2.loss_cls: 0.0519, s2.acc: 92.8333, s2.loss_bbox: 0.0700, s2.loss_mask: 0.0535, loss: 1.4671 2022-09-12 09:55:04,766 - mmdet - INFO - Epoch [3][700/7330] lr: 1.000e-04, eta: 3 days, 20:39:13, time: 1.348, data_time: 0.029, memory: 64747, loss_rpn_cls: 0.0414, loss_rpn_bbox: 0.0405, loss_semantic_seg: 0.2824, s0.loss_cls: 0.2368, s0.acc: 92.3408, s0.loss_bbox: 0.1207, s0.loss_mask: 0.2447, s1.loss_cls: 0.1123, s1.acc: 92.6779, s1.loss_bbox: 0.1178, s1.loss_mask: 0.1140, s2.loss_cls: 0.0548, s2.acc: 92.7642, s2.loss_bbox: 0.0702, s2.loss_mask: 0.0530, loss: 1.4888 2022-09-12 09:56:12,067 - mmdet - INFO - Epoch [3][750/7330] lr: 1.000e-04, eta: 3 days, 20:38:09, time: 1.346, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0384, loss_semantic_seg: 0.2655, s0.loss_cls: 0.2198, s0.acc: 92.5767, s0.loss_bbox: 0.1210, s0.loss_mask: 0.2500, s1.loss_cls: 0.1050, s1.acc: 92.8998, s1.loss_bbox: 0.1178, s1.loss_mask: 0.1158, s2.loss_cls: 0.0515, s2.acc: 92.9399, s2.loss_bbox: 0.0699, s2.loss_mask: 0.0535, loss: 1.4473 2022-09-12 09:57:19,338 - mmdet - INFO - Epoch [3][800/7330] lr: 1.000e-04, eta: 3 days, 20:37:04, time: 1.345, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0404, loss_semantic_seg: 0.2715, s0.loss_cls: 0.2323, s0.acc: 92.2495, s0.loss_bbox: 0.1211, s0.loss_mask: 0.2453, s1.loss_cls: 0.1107, s1.acc: 92.6562, s1.loss_bbox: 0.1187, s1.loss_mask: 0.1124, s2.loss_cls: 0.0544, s2.acc: 92.5247, s2.loss_bbox: 0.0690, s2.loss_mask: 0.0520, loss: 1.4657 2022-09-12 09:58:26,870 - mmdet - INFO - Epoch [3][850/7330] lr: 1.000e-04, eta: 3 days, 20:36:04, time: 1.351, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0401, loss_semantic_seg: 0.2785, s0.loss_cls: 0.2220, s0.acc: 92.5933, s0.loss_bbox: 0.1208, s0.loss_mask: 0.2530, s1.loss_cls: 0.1067, s1.acc: 92.8927, s1.loss_bbox: 0.1163, s1.loss_mask: 0.1145, s2.loss_cls: 0.0522, s2.acc: 92.8075, s2.loss_bbox: 0.0671, s2.loss_mask: 0.0529, loss: 1.4636 2022-09-12 09:59:34,399 - mmdet - INFO - Epoch [3][900/7330] lr: 1.000e-04, eta: 3 days, 20:35:04, time: 1.351, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0426, loss_semantic_seg: 0.2778, s0.loss_cls: 0.2335, s0.acc: 92.2429, s0.loss_bbox: 0.1263, s0.loss_mask: 0.2532, s1.loss_cls: 0.1103, s1.acc: 92.5643, s1.loss_bbox: 0.1225, s1.loss_mask: 0.1150, s2.loss_cls: 0.0535, s2.acc: 92.6554, s2.loss_bbox: 0.0707, s2.loss_mask: 0.0532, loss: 1.4982 2022-09-12 10:00:42,576 - mmdet - INFO - Epoch [3][950/7330] lr: 1.000e-04, eta: 3 days, 20:34:12, time: 1.362, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0437, loss_semantic_seg: 0.2758, s0.loss_cls: 0.2362, s0.acc: 92.3186, s0.loss_bbox: 0.1237, s0.loss_mask: 0.2554, s1.loss_cls: 0.1125, s1.acc: 92.6463, s1.loss_bbox: 0.1187, s1.loss_mask: 0.1174, s2.loss_cls: 0.0542, s2.acc: 92.7246, s2.loss_bbox: 0.0689, s2.loss_mask: 0.0545, loss: 1.5038 2022-09-12 10:01:50,371 - mmdet - INFO - Epoch [3][1000/7330] lr: 1.000e-04, eta: 3 days, 20:33:17, time: 1.357, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0419, loss_semantic_seg: 0.2689, s0.loss_cls: 0.2292, s0.acc: 92.6375, s0.loss_bbox: 0.1186, s0.loss_mask: 0.2529, s1.loss_cls: 0.1071, s1.acc: 93.0541, s1.loss_bbox: 0.1139, s1.loss_mask: 0.1161, s2.loss_cls: 0.0513, s2.acc: 93.1701, s2.loss_bbox: 0.0665, s2.loss_mask: 0.0541, loss: 1.4605 2022-09-12 10:02:57,629 - mmdet - INFO - Epoch [3][1050/7330] lr: 1.000e-04, eta: 3 days, 20:32:12, time: 1.345, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0382, loss_semantic_seg: 0.2743, s0.loss_cls: 0.2243, s0.acc: 92.5500, s0.loss_bbox: 0.1217, s0.loss_mask: 0.2479, s1.loss_cls: 0.1061, s1.acc: 92.9247, s1.loss_bbox: 0.1183, s1.loss_mask: 0.1147, s2.loss_cls: 0.0518, s2.acc: 92.9396, s2.loss_bbox: 0.0688, s2.loss_mask: 0.0533, loss: 1.4557 2022-09-12 10:04:05,141 - mmdet - INFO - Epoch [3][1100/7330] lr: 1.000e-04, eta: 3 days, 20:31:11, time: 1.350, data_time: 0.030, memory: 64747, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0426, loss_semantic_seg: 0.2771, s0.loss_cls: 0.2522, s0.acc: 91.9731, s0.loss_bbox: 0.1309, s0.loss_mask: 0.2481, s1.loss_cls: 0.1189, s1.acc: 92.2523, s1.loss_bbox: 0.1244, s1.loss_mask: 0.1142, s2.loss_cls: 0.0566, s2.acc: 92.4717, s2.loss_bbox: 0.0731, s2.loss_mask: 0.0532, loss: 1.5325 2022-09-12 10:05:12,914 - mmdet - INFO - Epoch [3][1150/7330] lr: 1.000e-04, eta: 3 days, 20:30:14, time: 1.355, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0368, loss_semantic_seg: 0.2700, s0.loss_cls: 0.2215, s0.acc: 92.7324, s0.loss_bbox: 0.1146, s0.loss_mask: 0.2391, s1.loss_cls: 0.1048, s1.acc: 93.0647, s1.loss_bbox: 0.1115, s1.loss_mask: 0.1103, s2.loss_cls: 0.0516, s2.acc: 93.0793, s2.loss_bbox: 0.0662, s2.loss_mask: 0.0517, loss: 1.4152 2022-09-12 10:06:20,498 - mmdet - INFO - Epoch [3][1200/7330] lr: 1.000e-04, eta: 3 days, 20:29:15, time: 1.352, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0372, loss_semantic_seg: 0.2786, s0.loss_cls: 0.2221, s0.acc: 92.7507, s0.loss_bbox: 0.1155, s0.loss_mask: 0.2412, s1.loss_cls: 0.1046, s1.acc: 93.0595, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1110, s2.loss_cls: 0.0521, s2.acc: 92.9605, s2.loss_bbox: 0.0657, s2.loss_mask: 0.0515, loss: 1.4273 2022-09-12 10:07:28,451 - mmdet - INFO - Epoch [3][1250/7330] lr: 1.000e-04, eta: 3 days, 20:28:20, time: 1.359, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0414, loss_rpn_bbox: 0.0417, loss_semantic_seg: 0.2730, s0.loss_cls: 0.2340, s0.acc: 92.2720, s0.loss_bbox: 0.1204, s0.loss_mask: 0.2515, s1.loss_cls: 0.1108, s1.acc: 92.6171, s1.loss_bbox: 0.1179, s1.loss_mask: 0.1149, s2.loss_cls: 0.0551, s2.acc: 92.5936, s2.loss_bbox: 0.0687, s2.loss_mask: 0.0531, loss: 1.4825 2022-09-12 10:08:35,619 - mmdet - INFO - Epoch [3][1300/7330] lr: 1.000e-04, eta: 3 days, 20:27:14, time: 1.343, data_time: 0.019, memory: 64747, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0405, loss_semantic_seg: 0.2726, s0.loss_cls: 0.2282, s0.acc: 92.3909, s0.loss_bbox: 0.1205, s0.loss_mask: 0.2475, s1.loss_cls: 0.1082, s1.acc: 92.7050, s1.loss_bbox: 0.1182, s1.loss_mask: 0.1143, s2.loss_cls: 0.0526, s2.acc: 92.7805, s2.loss_bbox: 0.0677, s2.loss_mask: 0.0529, loss: 1.4615 2022-09-12 10:09:42,695 - mmdet - INFO - Epoch [3][1350/7330] lr: 1.000e-04, eta: 3 days, 20:26:06, time: 1.341, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0391, loss_rpn_bbox: 0.0385, loss_semantic_seg: 0.2718, s0.loss_cls: 0.2281, s0.acc: 92.3887, s0.loss_bbox: 0.1214, s0.loss_mask: 0.2475, s1.loss_cls: 0.1085, s1.acc: 92.7621, s1.loss_bbox: 0.1179, s1.loss_mask: 0.1130, s2.loss_cls: 0.0531, s2.acc: 92.7609, s2.loss_bbox: 0.0688, s2.loss_mask: 0.0524, loss: 1.4602 2022-09-12 10:10:50,358 - mmdet - INFO - Epoch [3][1400/7330] lr: 1.000e-04, eta: 3 days, 20:25:07, time: 1.353, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0397, loss_semantic_seg: 0.2738, s0.loss_cls: 0.2281, s0.acc: 92.5378, s0.loss_bbox: 0.1179, s0.loss_mask: 0.2443, s1.loss_cls: 0.1088, s1.acc: 92.7967, s1.loss_bbox: 0.1174, s1.loss_mask: 0.1125, s2.loss_cls: 0.0545, s2.acc: 92.7040, s2.loss_bbox: 0.0699, s2.loss_mask: 0.0523, loss: 1.4575 2022-09-12 10:11:58,189 - mmdet - INFO - Epoch [3][1450/7330] lr: 1.000e-04, eta: 3 days, 20:24:10, time: 1.355, data_time: 0.019, memory: 64747, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0395, loss_semantic_seg: 0.2762, s0.loss_cls: 0.2258, s0.acc: 92.5571, s0.loss_bbox: 0.1174, s0.loss_mask: 0.2444, s1.loss_cls: 0.1063, s1.acc: 92.8912, s1.loss_bbox: 0.1159, s1.loss_mask: 0.1124, s2.loss_cls: 0.0521, s2.acc: 92.8573, s2.loss_bbox: 0.0692, s2.loss_mask: 0.0523, loss: 1.4527 2022-09-12 10:13:06,548 - mmdet - INFO - Epoch [3][1500/7330] lr: 1.000e-04, eta: 3 days, 20:23:23, time: 1.369, data_time: 0.030, memory: 64747, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0385, loss_semantic_seg: 0.2736, s0.loss_cls: 0.2220, s0.acc: 92.6165, s0.loss_bbox: 0.1151, s0.loss_mask: 0.2455, s1.loss_cls: 0.1058, s1.acc: 92.9828, s1.loss_bbox: 0.1125, s1.loss_mask: 0.1133, s2.loss_cls: 0.0526, s2.acc: 92.9223, s2.loss_bbox: 0.0689, s2.loss_mask: 0.0530, loss: 1.4399 2022-09-12 10:14:13,417 - mmdet - INFO - Epoch [3][1550/7330] lr: 1.000e-04, eta: 3 days, 20:22:11, time: 1.337, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0402, loss_semantic_seg: 0.2728, s0.loss_cls: 0.2244, s0.acc: 92.5232, s0.loss_bbox: 0.1233, s0.loss_mask: 0.2460, s1.loss_cls: 0.1054, s1.acc: 92.9354, s1.loss_bbox: 0.1209, s1.loss_mask: 0.1132, s2.loss_cls: 0.0520, s2.acc: 92.8365, s2.loss_bbox: 0.0700, s2.loss_mask: 0.0519, loss: 1.4610 2022-09-12 10:15:20,356 - mmdet - INFO - Epoch [3][1600/7330] lr: 1.000e-04, eta: 3 days, 20:21:01, time: 1.339, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0381, loss_semantic_seg: 0.2556, s0.loss_cls: 0.2210, s0.acc: 92.4724, s0.loss_bbox: 0.1164, s0.loss_mask: 0.2409, s1.loss_cls: 0.1061, s1.acc: 92.6693, s1.loss_bbox: 0.1156, s1.loss_mask: 0.1123, s2.loss_cls: 0.0526, s2.acc: 92.6151, s2.loss_bbox: 0.0697, s2.loss_mask: 0.0526, loss: 1.4204 2022-09-12 10:16:27,010 - mmdet - INFO - Epoch [3][1650/7330] lr: 1.000e-04, eta: 3 days, 20:19:47, time: 1.333, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0376, loss_semantic_seg: 0.2685, s0.loss_cls: 0.2166, s0.acc: 92.7598, s0.loss_bbox: 0.1161, s0.loss_mask: 0.2397, s1.loss_cls: 0.1040, s1.acc: 92.9562, s1.loss_bbox: 0.1158, s1.loss_mask: 0.1106, s2.loss_cls: 0.0517, s2.acc: 92.9193, s2.loss_bbox: 0.0687, s2.loss_mask: 0.0516, loss: 1.4185 2022-09-12 10:17:33,409 - mmdet - INFO - Epoch [3][1700/7330] lr: 1.000e-04, eta: 3 days, 20:18:29, time: 1.328, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0368, loss_semantic_seg: 0.2644, s0.loss_cls: 0.2083, s0.acc: 92.9358, s0.loss_bbox: 0.1141, s0.loss_mask: 0.2502, s1.loss_cls: 0.0981, s1.acc: 93.2606, s1.loss_bbox: 0.1116, s1.loss_mask: 0.1147, s2.loss_cls: 0.0488, s2.acc: 93.1894, s2.loss_bbox: 0.0661, s2.loss_mask: 0.0527, loss: 1.4031 2022-09-12 10:18:41,922 - mmdet - INFO - Epoch [3][1750/7330] lr: 1.000e-04, eta: 3 days, 20:17:42, time: 1.370, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0376, loss_semantic_seg: 0.2699, s0.loss_cls: 0.2236, s0.acc: 92.6340, s0.loss_bbox: 0.1185, s0.loss_mask: 0.2452, s1.loss_cls: 0.1052, s1.acc: 93.0004, s1.loss_bbox: 0.1130, s1.loss_mask: 0.1131, s2.loss_cls: 0.0520, s2.acc: 92.9300, s2.loss_bbox: 0.0670, s2.loss_mask: 0.0523, loss: 1.4328 2022-09-12 10:19:49,368 - mmdet - INFO - Epoch [3][1800/7330] lr: 1.000e-04, eta: 3 days, 20:16:40, time: 1.349, data_time: 0.028, memory: 64747, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0438, loss_semantic_seg: 0.2553, s0.loss_cls: 0.2240, s0.acc: 92.3735, s0.loss_bbox: 0.1218, s0.loss_mask: 0.2467, s1.loss_cls: 0.1059, s1.acc: 92.8126, s1.loss_bbox: 0.1190, s1.loss_mask: 0.1151, s2.loss_cls: 0.0529, s2.acc: 92.7725, s2.loss_bbox: 0.0710, s2.loss_mask: 0.0538, loss: 1.4516 2022-09-12 10:20:57,228 - mmdet - INFO - Epoch [3][1850/7330] lr: 1.000e-04, eta: 3 days, 20:15:44, time: 1.357, data_time: 0.029, memory: 64747, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0392, loss_semantic_seg: 0.2657, s0.loss_cls: 0.2292, s0.acc: 92.2532, s0.loss_bbox: 0.1209, s0.loss_mask: 0.2443, s1.loss_cls: 0.1084, s1.acc: 92.6252, s1.loss_bbox: 0.1184, s1.loss_mask: 0.1137, s2.loss_cls: 0.0530, s2.acc: 92.6528, s2.loss_bbox: 0.0697, s2.loss_mask: 0.0534, loss: 1.4525 2022-09-12 10:22:04,416 - mmdet - INFO - Epoch [3][1900/7330] lr: 1.000e-04, eta: 3 days, 20:14:37, time: 1.344, data_time: 0.017, memory: 64747, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0371, loss_semantic_seg: 0.2560, s0.loss_cls: 0.2215, s0.acc: 92.6414, s0.loss_bbox: 0.1169, s0.loss_mask: 0.2375, s1.loss_cls: 0.1047, s1.acc: 93.0026, s1.loss_bbox: 0.1147, s1.loss_mask: 0.1105, s2.loss_cls: 0.0516, s2.acc: 93.0157, s2.loss_bbox: 0.0685, s2.loss_mask: 0.0512, loss: 1.4075 2022-09-12 10:23:12,146 - mmdet - INFO - Epoch [3][1950/7330] lr: 1.000e-04, eta: 3 days, 20:13:39, time: 1.354, data_time: 0.034, memory: 64747, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0399, loss_semantic_seg: 0.2712, s0.loss_cls: 0.2240, s0.acc: 92.4321, s0.loss_bbox: 0.1205, s0.loss_mask: 0.2457, s1.loss_cls: 0.1060, s1.acc: 92.7749, s1.loss_bbox: 0.1188, s1.loss_mask: 0.1135, s2.loss_cls: 0.0534, s2.acc: 92.5976, s2.loss_bbox: 0.0705, s2.loss_mask: 0.0525, loss: 1.4508 2022-09-12 10:24:20,185 - mmdet - INFO - Epoch [3][2000/7330] lr: 1.000e-04, eta: 3 days, 20:12:45, time: 1.361, data_time: 0.031, memory: 64747, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0406, loss_semantic_seg: 0.2670, s0.loss_cls: 0.2205, s0.acc: 92.7361, s0.loss_bbox: 0.1170, s0.loss_mask: 0.2410, s1.loss_cls: 0.1042, s1.acc: 93.0495, s1.loss_bbox: 0.1153, s1.loss_mask: 0.1107, s2.loss_cls: 0.0509, s2.acc: 92.9832, s2.loss_bbox: 0.0689, s2.loss_mask: 0.0515, loss: 1.4259 2022-09-12 10:25:27,837 - mmdet - INFO - Epoch [3][2050/7330] lr: 1.000e-04, eta: 3 days, 20:11:46, time: 1.353, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0383, loss_semantic_seg: 0.2770, s0.loss_cls: 0.2210, s0.acc: 92.6655, s0.loss_bbox: 0.1166, s0.loss_mask: 0.2461, s1.loss_cls: 0.1055, s1.acc: 92.9523, s1.loss_bbox: 0.1154, s1.loss_mask: 0.1143, s2.loss_cls: 0.0516, s2.acc: 93.0127, s2.loss_bbox: 0.0674, s2.loss_mask: 0.0533, loss: 1.4438 2022-09-12 10:26:34,722 - mmdet - INFO - Epoch [3][2100/7330] lr: 1.000e-04, eta: 3 days, 20:10:34, time: 1.337, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0368, loss_semantic_seg: 0.2745, s0.loss_cls: 0.2245, s0.acc: 92.7190, s0.loss_bbox: 0.1159, s0.loss_mask: 0.2439, s1.loss_cls: 0.1072, s1.acc: 92.9408, s1.loss_bbox: 0.1148, s1.loss_mask: 0.1112, s2.loss_cls: 0.0523, s2.acc: 93.0266, s2.loss_bbox: 0.0686, s2.loss_mask: 0.0517, loss: 1.4378 2022-09-12 10:27:42,282 - mmdet - INFO - Epoch [3][2150/7330] lr: 1.000e-04, eta: 3 days, 20:09:34, time: 1.352, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0420, loss_semantic_seg: 0.2613, s0.loss_cls: 0.2279, s0.acc: 92.3865, s0.loss_bbox: 0.1196, s0.loss_mask: 0.2432, s1.loss_cls: 0.1087, s1.acc: 92.6957, s1.loss_bbox: 0.1163, s1.loss_mask: 0.1122, s2.loss_cls: 0.0531, s2.acc: 92.7046, s2.loss_bbox: 0.0705, s2.loss_mask: 0.0521, loss: 1.4471 2022-09-12 10:28:49,739 - mmdet - INFO - Epoch [3][2200/7330] lr: 1.000e-04, eta: 3 days, 20:08:31, time: 1.349, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0368, loss_semantic_seg: 0.2865, s0.loss_cls: 0.2199, s0.acc: 92.7598, s0.loss_bbox: 0.1137, s0.loss_mask: 0.2414, s1.loss_cls: 0.1051, s1.acc: 93.1013, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1119, s2.loss_cls: 0.0516, s2.acc: 92.9892, s2.loss_bbox: 0.0665, s2.loss_mask: 0.0519, loss: 1.4354 2022-09-12 10:29:57,907 - mmdet - INFO - Epoch [3][2250/7330] lr: 1.000e-04, eta: 3 days, 20:07:39, time: 1.363, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0374, loss_semantic_seg: 0.2675, s0.loss_cls: 0.2172, s0.acc: 92.8240, s0.loss_bbox: 0.1131, s0.loss_mask: 0.2436, s1.loss_cls: 0.1033, s1.acc: 93.0577, s1.loss_bbox: 0.1127, s1.loss_mask: 0.1123, s2.loss_cls: 0.0514, s2.acc: 92.8924, s2.loss_bbox: 0.0678, s2.loss_mask: 0.0525, loss: 1.4146 2022-09-12 10:31:04,562 - mmdet - INFO - Epoch [3][2300/7330] lr: 1.000e-04, eta: 3 days, 20:06:25, time: 1.333, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0389, loss_semantic_seg: 0.2628, s0.loss_cls: 0.2173, s0.acc: 92.7256, s0.loss_bbox: 0.1173, s0.loss_mask: 0.2439, s1.loss_cls: 0.1031, s1.acc: 93.0843, s1.loss_bbox: 0.1165, s1.loss_mask: 0.1133, s2.loss_cls: 0.0511, s2.acc: 92.9779, s2.loss_bbox: 0.0690, s2.loss_mask: 0.0526, loss: 1.4242 2022-09-12 10:32:12,580 - mmdet - INFO - Epoch [3][2350/7330] lr: 1.000e-04, eta: 3 days, 20:05:28, time: 1.356, data_time: 0.034, memory: 64747, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0394, loss_semantic_seg: 0.2649, s0.loss_cls: 0.2272, s0.acc: 92.5254, s0.loss_bbox: 0.1201, s0.loss_mask: 0.2464, s1.loss_cls: 0.1087, s1.acc: 92.7504, s1.loss_bbox: 0.1172, s1.loss_mask: 0.1140, s2.loss_cls: 0.0526, s2.acc: 92.8929, s2.loss_bbox: 0.0701, s2.loss_mask: 0.0534, loss: 1.4548 2022-09-12 10:33:20,726 - mmdet - INFO - Epoch [3][2400/7330] lr: 1.000e-04, eta: 3 days, 20:04:38, time: 1.367, data_time: 0.036, memory: 64747, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0383, loss_semantic_seg: 0.2606, s0.loss_cls: 0.2250, s0.acc: 92.4243, s0.loss_bbox: 0.1202, s0.loss_mask: 0.2476, s1.loss_cls: 0.1060, s1.acc: 92.8057, s1.loss_bbox: 0.1178, s1.loss_mask: 0.1139, s2.loss_cls: 0.0520, s2.acc: 92.8747, s2.loss_bbox: 0.0703, s2.loss_mask: 0.0534, loss: 1.4424 2022-09-12 10:34:28,900 - mmdet - INFO - Epoch [3][2450/7330] lr: 1.000e-04, eta: 3 days, 20:03:44, time: 1.362, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0379, loss_semantic_seg: 0.2651, s0.loss_cls: 0.2163, s0.acc: 92.6958, s0.loss_bbox: 0.1180, s0.loss_mask: 0.2451, s1.loss_cls: 0.1031, s1.acc: 93.0478, s1.loss_bbox: 0.1136, s1.loss_mask: 0.1118, s2.loss_cls: 0.0507, s2.acc: 93.1223, s2.loss_bbox: 0.0671, s2.loss_mask: 0.0518, loss: 1.4164 2022-09-12 10:35:37,136 - mmdet - INFO - Epoch [3][2500/7330] lr: 1.000e-04, eta: 3 days, 20:02:53, time: 1.365, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0408, loss_semantic_seg: 0.2623, s0.loss_cls: 0.2199, s0.acc: 92.6643, s0.loss_bbox: 0.1215, s0.loss_mask: 0.2504, s1.loss_cls: 0.1042, s1.acc: 93.0051, s1.loss_bbox: 0.1177, s1.loss_mask: 0.1150, s2.loss_cls: 0.0511, s2.acc: 92.9184, s2.loss_bbox: 0.0681, s2.loss_mask: 0.0526, loss: 1.4392 2022-09-12 10:36:45,417 - mmdet - INFO - Epoch [3][2550/7330] lr: 1.000e-04, eta: 3 days, 20:02:03, time: 1.367, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0405, loss_semantic_seg: 0.2705, s0.loss_cls: 0.2214, s0.acc: 92.6248, s0.loss_bbox: 0.1210, s0.loss_mask: 0.2474, s1.loss_cls: 0.1059, s1.acc: 92.8608, s1.loss_bbox: 0.1198, s1.loss_mask: 0.1141, s2.loss_cls: 0.0515, s2.acc: 92.9509, s2.loss_bbox: 0.0704, s2.loss_mask: 0.0528, loss: 1.4515 2022-09-12 10:37:53,612 - mmdet - INFO - Epoch [3][2600/7330] lr: 1.000e-04, eta: 3 days, 20:01:10, time: 1.364, data_time: 0.034, memory: 64747, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0379, loss_semantic_seg: 0.2675, s0.loss_cls: 0.2114, s0.acc: 92.8630, s0.loss_bbox: 0.1151, s0.loss_mask: 0.2386, s1.loss_cls: 0.1001, s1.acc: 93.2927, s1.loss_bbox: 0.1121, s1.loss_mask: 0.1109, s2.loss_cls: 0.0485, s2.acc: 93.3936, s2.loss_bbox: 0.0662, s2.loss_mask: 0.0519, loss: 1.3962 2022-09-12 10:39:01,795 - mmdet - INFO - Epoch [3][2650/7330] lr: 1.000e-04, eta: 3 days, 20:00:18, time: 1.364, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0379, loss_semantic_seg: 0.2738, s0.loss_cls: 0.2271, s0.acc: 92.3657, s0.loss_bbox: 0.1214, s0.loss_mask: 0.2444, s1.loss_cls: 0.1064, s1.acc: 92.7417, s1.loss_bbox: 0.1172, s1.loss_mask: 0.1138, s2.loss_cls: 0.0519, s2.acc: 92.7451, s2.loss_bbox: 0.0682, s2.loss_mask: 0.0535, loss: 1.4514 2022-09-12 10:40:09,703 - mmdet - INFO - Epoch [3][2700/7330] lr: 1.000e-04, eta: 3 days, 19:59:21, time: 1.358, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0391, loss_rpn_bbox: 0.0407, loss_semantic_seg: 0.2692, s0.loss_cls: 0.2230, s0.acc: 92.5679, s0.loss_bbox: 0.1171, s0.loss_mask: 0.2512, s1.loss_cls: 0.1064, s1.acc: 92.8998, s1.loss_bbox: 0.1171, s1.loss_mask: 0.1155, s2.loss_cls: 0.0531, s2.acc: 92.7832, s2.loss_bbox: 0.0699, s2.loss_mask: 0.0534, loss: 1.4556 2022-09-12 10:41:18,578 - mmdet - INFO - Epoch [3][2750/7330] lr: 1.000e-04, eta: 3 days, 19:58:38, time: 1.378, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0405, loss_semantic_seg: 0.2611, s0.loss_cls: 0.2302, s0.acc: 92.4331, s0.loss_bbox: 0.1191, s0.loss_mask: 0.2394, s1.loss_cls: 0.1092, s1.acc: 92.7434, s1.loss_bbox: 0.1168, s1.loss_mask: 0.1100, s2.loss_cls: 0.0533, s2.acc: 92.7626, s2.loss_bbox: 0.0699, s2.loss_mask: 0.0514, loss: 1.4405 2022-09-12 10:42:26,384 - mmdet - INFO - Epoch [3][2800/7330] lr: 1.000e-04, eta: 3 days, 19:57:40, time: 1.356, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0382, loss_semantic_seg: 0.2675, s0.loss_cls: 0.2224, s0.acc: 92.5920, s0.loss_bbox: 0.1182, s0.loss_mask: 0.2452, s1.loss_cls: 0.1054, s1.acc: 92.8623, s1.loss_bbox: 0.1143, s1.loss_mask: 0.1129, s2.loss_cls: 0.0521, s2.acc: 92.8041, s2.loss_bbox: 0.0676, s2.loss_mask: 0.0528, loss: 1.4344 2022-09-12 10:43:34,717 - mmdet - INFO - Epoch [3][2850/7330] lr: 1.000e-04, eta: 3 days, 19:56:49, time: 1.367, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0418, loss_semantic_seg: 0.2666, s0.loss_cls: 0.2274, s0.acc: 92.2949, s0.loss_bbox: 0.1259, s0.loss_mask: 0.2489, s1.loss_cls: 0.1092, s1.acc: 92.5874, s1.loss_bbox: 0.1221, s1.loss_mask: 0.1148, s2.loss_cls: 0.0534, s2.acc: 92.6202, s2.loss_bbox: 0.0701, s2.loss_mask: 0.0535, loss: 1.4710 2022-09-12 10:44:43,222 - mmdet - INFO - Epoch [3][2900/7330] lr: 1.000e-04, eta: 3 days, 19:56:00, time: 1.370, data_time: 0.032, memory: 64747, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0381, loss_semantic_seg: 0.2674, s0.loss_cls: 0.2235, s0.acc: 92.5701, s0.loss_bbox: 0.1163, s0.loss_mask: 0.2442, s1.loss_cls: 0.1062, s1.acc: 92.9461, s1.loss_bbox: 0.1152, s1.loss_mask: 0.1127, s2.loss_cls: 0.0522, s2.acc: 92.8630, s2.loss_bbox: 0.0681, s2.loss_mask: 0.0526, loss: 1.4346 2022-09-12 10:45:51,832 - mmdet - INFO - Epoch [3][2950/7330] lr: 1.000e-04, eta: 3 days, 19:55:13, time: 1.372, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0404, loss_semantic_seg: 0.2636, s0.loss_cls: 0.2237, s0.acc: 92.5610, s0.loss_bbox: 0.1154, s0.loss_mask: 0.2401, s1.loss_cls: 0.1076, s1.acc: 92.7934, s1.loss_bbox: 0.1126, s1.loss_mask: 0.1101, s2.loss_cls: 0.0531, s2.acc: 92.7201, s2.loss_bbox: 0.0670, s2.loss_mask: 0.0510, loss: 1.4237 2022-09-12 10:47:00,116 - mmdet - INFO - Epoch [3][3000/7330] lr: 1.000e-04, eta: 3 days, 19:54:21, time: 1.366, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0395, loss_semantic_seg: 0.2618, s0.loss_cls: 0.2210, s0.acc: 92.7512, s0.loss_bbox: 0.1157, s0.loss_mask: 0.2402, s1.loss_cls: 0.1043, s1.acc: 93.1498, s1.loss_bbox: 0.1161, s1.loss_mask: 0.1107, s2.loss_cls: 0.0518, s2.acc: 92.9808, s2.loss_bbox: 0.0684, s2.loss_mask: 0.0515, loss: 1.4189 2022-09-12 10:48:08,451 - mmdet - INFO - Epoch [3][3050/7330] lr: 1.000e-04, eta: 3 days, 19:53:29, time: 1.365, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0383, loss_semantic_seg: 0.2679, s0.loss_cls: 0.2235, s0.acc: 92.6475, s0.loss_bbox: 0.1138, s0.loss_mask: 0.2368, s1.loss_cls: 0.1062, s1.acc: 92.9339, s1.loss_bbox: 0.1130, s1.loss_mask: 0.1098, s2.loss_cls: 0.0524, s2.acc: 92.8306, s2.loss_bbox: 0.0669, s2.loss_mask: 0.0512, loss: 1.4189 2022-09-12 10:49:17,155 - mmdet - INFO - Epoch [3][3100/7330] lr: 1.000e-04, eta: 3 days, 19:52:43, time: 1.375, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0378, loss_semantic_seg: 0.2671, s0.loss_cls: 0.2148, s0.acc: 92.7815, s0.loss_bbox: 0.1131, s0.loss_mask: 0.2319, s1.loss_cls: 0.1013, s1.acc: 93.1699, s1.loss_bbox: 0.1124, s1.loss_mask: 0.1072, s2.loss_cls: 0.0503, s2.acc: 93.0771, s2.loss_bbox: 0.0674, s2.loss_mask: 0.0504, loss: 1.3887 2022-09-12 10:50:23,692 - mmdet - INFO - Epoch [3][3150/7330] lr: 1.000e-04, eta: 3 days, 19:51:28, time: 1.331, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0367, loss_semantic_seg: 0.2697, s0.loss_cls: 0.2126, s0.acc: 92.9216, s0.loss_bbox: 0.1116, s0.loss_mask: 0.2367, s1.loss_cls: 0.1013, s1.acc: 93.2142, s1.loss_bbox: 0.1093, s1.loss_mask: 0.1087, s2.loss_cls: 0.0502, s2.acc: 93.1963, s2.loss_bbox: 0.0638, s2.loss_mask: 0.0507, loss: 1.3868 2022-09-12 10:51:31,764 - mmdet - INFO - Epoch [3][3200/7330] lr: 1.000e-04, eta: 3 days, 19:50:32, time: 1.361, data_time: 0.029, memory: 64747, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0364, loss_semantic_seg: 0.2600, s0.loss_cls: 0.2259, s0.acc: 92.4758, s0.loss_bbox: 0.1210, s0.loss_mask: 0.2413, s1.loss_cls: 0.1061, s1.acc: 92.7969, s1.loss_bbox: 0.1192, s1.loss_mask: 0.1115, s2.loss_cls: 0.0524, s2.acc: 92.7324, s2.loss_bbox: 0.0711, s2.loss_mask: 0.0520, loss: 1.4305 2022-09-12 10:52:39,487 - mmdet - INFO - Epoch [3][3250/7330] lr: 1.000e-04, eta: 3 days, 19:49:33, time: 1.354, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0392, loss_semantic_seg: 0.2632, s0.loss_cls: 0.2146, s0.acc: 92.7896, s0.loss_bbox: 0.1147, s0.loss_mask: 0.2367, s1.loss_cls: 0.1026, s1.acc: 93.1292, s1.loss_bbox: 0.1137, s1.loss_mask: 0.1103, s2.loss_cls: 0.0502, s2.acc: 93.1960, s2.loss_bbox: 0.0670, s2.loss_mask: 0.0512, loss: 1.4000 2022-09-12 10:53:47,415 - mmdet - INFO - Epoch [3][3300/7330] lr: 1.000e-04, eta: 3 days, 19:48:33, time: 1.355, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0406, loss_semantic_seg: 0.2675, s0.loss_cls: 0.2232, s0.acc: 92.5056, s0.loss_bbox: 0.1216, s0.loss_mask: 0.2434, s1.loss_cls: 0.1065, s1.acc: 92.8275, s1.loss_bbox: 0.1190, s1.loss_mask: 0.1120, s2.loss_cls: 0.0521, s2.acc: 92.7927, s2.loss_bbox: 0.0703, s2.loss_mask: 0.0521, loss: 1.4436 2022-09-12 10:54:55,146 - mmdet - INFO - Epoch [3][3350/7330] lr: 1.000e-04, eta: 3 days, 19:47:35, time: 1.358, data_time: 0.028, memory: 64747, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0369, loss_semantic_seg: 0.2647, s0.loss_cls: 0.2187, s0.acc: 92.7407, s0.loss_bbox: 0.1201, s0.loss_mask: 0.2432, s1.loss_cls: 0.1035, s1.acc: 93.0373, s1.loss_bbox: 0.1160, s1.loss_mask: 0.1123, s2.loss_cls: 0.0509, s2.acc: 92.9976, s2.loss_bbox: 0.0682, s2.loss_mask: 0.0523, loss: 1.4227 2022-09-12 10:56:03,071 - mmdet - INFO - Epoch [3][3400/7330] lr: 1.000e-04, eta: 3 days, 19:46:38, time: 1.358, data_time: 0.028, memory: 64747, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0391, loss_semantic_seg: 0.2707, s0.loss_cls: 0.2170, s0.acc: 92.6077, s0.loss_bbox: 0.1197, s0.loss_mask: 0.2491, s1.loss_cls: 0.1024, s1.acc: 92.9568, s1.loss_bbox: 0.1170, s1.loss_mask: 0.1151, s2.loss_cls: 0.0501, s2.acc: 93.0186, s2.loss_bbox: 0.0690, s2.loss_mask: 0.0535, loss: 1.4396 2022-09-12 10:57:11,188 - mmdet - INFO - Epoch [3][3450/7330] lr: 1.000e-04, eta: 3 days, 19:45:43, time: 1.363, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0383, loss_semantic_seg: 0.2630, s0.loss_cls: 0.2194, s0.acc: 92.6111, s0.loss_bbox: 0.1214, s0.loss_mask: 0.2479, s1.loss_cls: 0.1052, s1.acc: 92.7785, s1.loss_bbox: 0.1185, s1.loss_mask: 0.1147, s2.loss_cls: 0.0514, s2.acc: 92.7605, s2.loss_bbox: 0.0668, s2.loss_mask: 0.0531, loss: 1.4376 2022-09-12 10:58:18,755 - mmdet - INFO - Epoch [3][3500/7330] lr: 1.000e-04, eta: 3 days, 19:44:40, time: 1.350, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0390, loss_semantic_seg: 0.2506, s0.loss_cls: 0.2122, s0.acc: 92.8623, s0.loss_bbox: 0.1150, s0.loss_mask: 0.2434, s1.loss_cls: 0.1015, s1.acc: 93.2284, s1.loss_bbox: 0.1127, s1.loss_mask: 0.1118, s2.loss_cls: 0.0500, s2.acc: 93.1795, s2.loss_bbox: 0.0678, s2.loss_mask: 0.0523, loss: 1.3931 2022-09-12 10:59:26,528 - mmdet - INFO - Epoch [3][3550/7330] lr: 1.000e-04, eta: 3 days, 19:43:41, time: 1.357, data_time: 0.029, memory: 64747, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0407, loss_semantic_seg: 0.2684, s0.loss_cls: 0.2217, s0.acc: 92.5986, s0.loss_bbox: 0.1178, s0.loss_mask: 0.2396, s1.loss_cls: 0.1041, s1.acc: 92.9686, s1.loss_bbox: 0.1190, s1.loss_mask: 0.1116, s2.loss_cls: 0.0510, s2.acc: 93.0069, s2.loss_bbox: 0.0700, s2.loss_mask: 0.0523, loss: 1.4324 2022-09-12 11:00:34,067 - mmdet - INFO - Epoch [3][3600/7330] lr: 1.000e-04, eta: 3 days, 19:42:38, time: 1.351, data_time: 0.028, memory: 64747, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0386, loss_semantic_seg: 0.2564, s0.loss_cls: 0.2226, s0.acc: 92.7659, s0.loss_bbox: 0.1176, s0.loss_mask: 0.2470, s1.loss_cls: 0.1057, s1.acc: 93.0846, s1.loss_bbox: 0.1141, s1.loss_mask: 0.1142, s2.loss_cls: 0.0514, s2.acc: 93.0101, s2.loss_bbox: 0.0659, s2.loss_mask: 0.0536, loss: 1.4243 2022-09-12 11:01:40,605 - mmdet - INFO - Epoch [3][3650/7330] lr: 1.000e-04, eta: 3 days, 19:41:22, time: 1.331, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0370, loss_semantic_seg: 0.2471, s0.loss_cls: 0.2093, s0.acc: 92.8833, s0.loss_bbox: 0.1190, s0.loss_mask: 0.2458, s1.loss_cls: 0.0996, s1.acc: 93.2174, s1.loss_bbox: 0.1214, s1.loss_mask: 0.1142, s2.loss_cls: 0.0489, s2.acc: 93.0357, s2.loss_bbox: 0.0705, s2.loss_mask: 0.0530, loss: 1.3999 2022-09-12 11:02:48,446 - mmdet - INFO - Epoch [3][3700/7330] lr: 1.000e-04, eta: 3 days, 19:40:24, time: 1.357, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0383, loss_semantic_seg: 0.2578, s0.loss_cls: 0.2082, s0.acc: 93.0864, s0.loss_bbox: 0.1120, s0.loss_mask: 0.2447, s1.loss_cls: 0.0985, s1.acc: 93.5481, s1.loss_bbox: 0.1125, s1.loss_mask: 0.1130, s2.loss_cls: 0.0481, s2.acc: 93.5694, s2.loss_bbox: 0.0659, s2.loss_mask: 0.0528, loss: 1.3878 2022-09-12 11:03:55,252 - mmdet - INFO - Epoch [3][3750/7330] lr: 1.000e-04, eta: 3 days, 19:39:11, time: 1.336, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2587, s0.loss_cls: 0.2143, s0.acc: 92.7432, s0.loss_bbox: 0.1157, s0.loss_mask: 0.2437, s1.loss_cls: 0.1014, s1.acc: 93.0793, s1.loss_bbox: 0.1158, s1.loss_mask: 0.1122, s2.loss_cls: 0.0497, s2.acc: 93.0568, s2.loss_bbox: 0.0680, s2.loss_mask: 0.0520, loss: 1.4030 2022-09-12 11:05:03,353 - mmdet - INFO - Epoch [3][3800/7330] lr: 1.000e-04, eta: 3 days, 19:38:16, time: 1.362, data_time: 0.030, memory: 64747, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0375, loss_semantic_seg: 0.2668, s0.loss_cls: 0.2049, s0.acc: 93.2258, s0.loss_bbox: 0.1122, s0.loss_mask: 0.2394, s1.loss_cls: 0.0976, s1.acc: 93.5007, s1.loss_bbox: 0.1102, s1.loss_mask: 0.1112, s2.loss_cls: 0.0477, s2.acc: 93.5098, s2.loss_bbox: 0.0655, s2.loss_mask: 0.0518, loss: 1.3801 2022-09-12 11:06:12,816 - mmdet - INFO - Epoch [3][3850/7330] lr: 1.000e-04, eta: 3 days, 19:37:38, time: 1.389, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0367, loss_semantic_seg: 0.2527, s0.loss_cls: 0.1934, s0.acc: 93.3657, s0.loss_bbox: 0.1095, s0.loss_mask: 0.2344, s1.loss_cls: 0.0925, s1.acc: 93.6575, s1.loss_bbox: 0.1107, s1.loss_mask: 0.1088, s2.loss_cls: 0.0453, s2.acc: 93.6316, s2.loss_bbox: 0.0665, s2.loss_mask: 0.0511, loss: 1.3355 2022-09-12 11:07:19,501 - mmdet - INFO - Epoch [3][3900/7330] lr: 1.000e-04, eta: 3 days, 19:36:24, time: 1.334, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0390, loss_semantic_seg: 0.2495, s0.loss_cls: 0.2120, s0.acc: 92.8425, s0.loss_bbox: 0.1131, s0.loss_mask: 0.2398, s1.loss_cls: 0.1008, s1.acc: 93.1650, s1.loss_bbox: 0.1128, s1.loss_mask: 0.1109, s2.loss_cls: 0.0496, s2.acc: 93.1532, s2.loss_bbox: 0.0674, s2.loss_mask: 0.0513, loss: 1.3806 2022-09-12 11:08:26,716 - mmdet - INFO - Epoch [3][3950/7330] lr: 1.000e-04, eta: 3 days, 19:35:17, time: 1.344, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0372, loss_semantic_seg: 0.2620, s0.loss_cls: 0.2009, s0.acc: 93.1836, s0.loss_bbox: 0.1094, s0.loss_mask: 0.2378, s1.loss_cls: 0.0944, s1.acc: 93.5021, s1.loss_bbox: 0.1095, s1.loss_mask: 0.1104, s2.loss_cls: 0.0471, s2.acc: 93.4662, s2.loss_bbox: 0.0657, s2.loss_mask: 0.0518, loss: 1.3589 2022-09-12 11:09:34,240 - mmdet - INFO - Epoch [3][4000/7330] lr: 1.000e-04, eta: 3 days, 19:34:14, time: 1.350, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0387, loss_semantic_seg: 0.2590, s0.loss_cls: 0.2086, s0.acc: 92.8899, s0.loss_bbox: 0.1135, s0.loss_mask: 0.2365, s1.loss_cls: 0.0990, s1.acc: 93.1761, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1092, s2.loss_cls: 0.0489, s2.acc: 93.2632, s2.loss_bbox: 0.0657, s2.loss_mask: 0.0513, loss: 1.3766 2022-09-12 11:10:42,854 - mmdet - INFO - Epoch [3][4050/7330] lr: 1.000e-04, eta: 3 days, 19:33:25, time: 1.372, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0389, loss_semantic_seg: 0.2591, s0.loss_cls: 0.2091, s0.acc: 92.9307, s0.loss_bbox: 0.1154, s0.loss_mask: 0.2399, s1.loss_cls: 0.0995, s1.acc: 93.2399, s1.loss_bbox: 0.1135, s1.loss_mask: 0.1099, s2.loss_cls: 0.0485, s2.acc: 93.2694, s2.loss_bbox: 0.0678, s2.loss_mask: 0.0509, loss: 1.3869 2022-09-12 11:11:50,750 - mmdet - INFO - Epoch [3][4100/7330] lr: 1.000e-04, eta: 3 days, 19:32:25, time: 1.357, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0377, loss_semantic_seg: 0.2585, s0.loss_cls: 0.2024, s0.acc: 93.0828, s0.loss_bbox: 0.1125, s0.loss_mask: 0.2391, s1.loss_cls: 0.0961, s1.acc: 93.4093, s1.loss_bbox: 0.1121, s1.loss_mask: 0.1103, s2.loss_cls: 0.0472, s2.acc: 93.3505, s2.loss_bbox: 0.0666, s2.loss_mask: 0.0518, loss: 1.3717 2022-09-12 11:12:59,354 - mmdet - INFO - Epoch [3][4150/7330] lr: 1.000e-04, eta: 3 days, 19:31:37, time: 1.373, data_time: 0.030, memory: 64747, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0396, loss_semantic_seg: 0.2645, s0.loss_cls: 0.2133, s0.acc: 92.8625, s0.loss_bbox: 0.1136, s0.loss_mask: 0.2437, s1.loss_cls: 0.1023, s1.acc: 93.1037, s1.loss_bbox: 0.1117, s1.loss_mask: 0.1116, s2.loss_cls: 0.0507, s2.acc: 93.0487, s2.loss_bbox: 0.0648, s2.loss_mask: 0.0513, loss: 1.3999 2022-09-12 11:14:07,853 - mmdet - INFO - Epoch [3][4200/7330] lr: 1.000e-04, eta: 3 days, 19:30:46, time: 1.370, data_time: 0.030, memory: 64747, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0391, loss_semantic_seg: 0.2584, s0.loss_cls: 0.2056, s0.acc: 92.9968, s0.loss_bbox: 0.1136, s0.loss_mask: 0.2414, s1.loss_cls: 0.0974, s1.acc: 93.3031, s1.loss_bbox: 0.1141, s1.loss_mask: 0.1120, s2.loss_cls: 0.0487, s2.acc: 93.2516, s2.loss_bbox: 0.0666, s2.loss_mask: 0.0521, loss: 1.3835 2022-09-12 11:15:15,954 - mmdet - INFO - Epoch [3][4250/7330] lr: 1.000e-04, eta: 3 days, 19:29:50, time: 1.361, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0383, loss_semantic_seg: 0.2593, s0.loss_cls: 0.2146, s0.acc: 92.6704, s0.loss_bbox: 0.1167, s0.loss_mask: 0.2400, s1.loss_cls: 0.1026, s1.acc: 93.0071, s1.loss_bbox: 0.1156, s1.loss_mask: 0.1106, s2.loss_cls: 0.0503, s2.acc: 92.9767, s2.loss_bbox: 0.0683, s2.loss_mask: 0.0513, loss: 1.4031 2022-09-12 11:16:23,858 - mmdet - INFO - Epoch [3][4300/7330] lr: 1.000e-04, eta: 3 days, 19:28:52, time: 1.359, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0380, loss_semantic_seg: 0.2656, s0.loss_cls: 0.2134, s0.acc: 92.8696, s0.loss_bbox: 0.1100, s0.loss_mask: 0.2389, s1.loss_cls: 0.1009, s1.acc: 93.2046, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1102, s2.loss_cls: 0.0501, s2.acc: 93.2147, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0513, loss: 1.3851 2022-09-12 11:17:31,287 - mmdet - INFO - Epoch [3][4350/7330] lr: 1.000e-04, eta: 3 days, 19:27:47, time: 1.349, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0381, loss_semantic_seg: 0.2610, s0.loss_cls: 0.2180, s0.acc: 92.7397, s0.loss_bbox: 0.1163, s0.loss_mask: 0.2441, s1.loss_cls: 0.1040, s1.acc: 93.0325, s1.loss_bbox: 0.1163, s1.loss_mask: 0.1131, s2.loss_cls: 0.0512, s2.acc: 92.9622, s2.loss_bbox: 0.0698, s2.loss_mask: 0.0524, loss: 1.4182 2022-09-12 11:18:39,008 - mmdet - INFO - Epoch [3][4400/7330] lr: 1.000e-04, eta: 3 days, 19:26:46, time: 1.354, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0367, loss_semantic_seg: 0.2672, s0.loss_cls: 0.2161, s0.acc: 92.8528, s0.loss_bbox: 0.1109, s0.loss_mask: 0.2323, s1.loss_cls: 0.1009, s1.acc: 93.2107, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1066, s2.loss_cls: 0.0498, s2.acc: 93.2614, s2.loss_bbox: 0.0640, s2.loss_mask: 0.0496, loss: 1.3767 2022-09-12 11:19:48,115 - mmdet - INFO - Epoch [3][4450/7330] lr: 1.000e-04, eta: 3 days, 19:26:03, time: 1.382, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0384, loss_semantic_seg: 0.2668, s0.loss_cls: 0.2172, s0.acc: 92.7976, s0.loss_bbox: 0.1165, s0.loss_mask: 0.2376, s1.loss_cls: 0.1026, s1.acc: 93.1164, s1.loss_bbox: 0.1138, s1.loss_mask: 0.1088, s2.loss_cls: 0.0509, s2.acc: 93.0677, s2.loss_bbox: 0.0680, s2.loss_mask: 0.0508, loss: 1.4055 2022-09-12 11:20:55,459 - mmdet - INFO - Epoch [3][4500/7330] lr: 1.000e-04, eta: 3 days, 19:24:57, time: 1.347, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0384, loss_semantic_seg: 0.2593, s0.loss_cls: 0.2145, s0.acc: 92.9248, s0.loss_bbox: 0.1111, s0.loss_mask: 0.2373, s1.loss_cls: 0.1023, s1.acc: 93.2162, s1.loss_bbox: 0.1098, s1.loss_mask: 0.1106, s2.loss_cls: 0.0499, s2.acc: 93.2952, s2.loss_bbox: 0.0654, s2.loss_mask: 0.0516, loss: 1.3872 2022-09-12 11:22:03,320 - mmdet - INFO - Epoch [3][4550/7330] lr: 1.000e-04, eta: 3 days, 19:23:57, time: 1.356, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0391, loss_semantic_seg: 0.2559, s0.loss_cls: 0.2040, s0.acc: 93.0757, s0.loss_bbox: 0.1127, s0.loss_mask: 0.2414, s1.loss_cls: 0.0962, s1.acc: 93.3986, s1.loss_bbox: 0.1124, s1.loss_mask: 0.1116, s2.loss_cls: 0.0472, s2.acc: 93.4747, s2.loss_bbox: 0.0669, s2.loss_mask: 0.0521, loss: 1.3774 2022-09-12 11:23:10,495 - mmdet - INFO - Epoch [3][4600/7330] lr: 1.000e-04, eta: 3 days, 19:22:50, time: 1.345, data_time: 0.028, memory: 64747, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0388, loss_semantic_seg: 0.2605, s0.loss_cls: 0.2117, s0.acc: 92.9656, s0.loss_bbox: 0.1123, s0.loss_mask: 0.2368, s1.loss_cls: 0.1009, s1.acc: 93.2262, s1.loss_bbox: 0.1120, s1.loss_mask: 0.1097, s2.loss_cls: 0.0502, s2.acc: 93.1486, s2.loss_bbox: 0.0684, s2.loss_mask: 0.0511, loss: 1.3865 2022-09-12 11:24:17,714 - mmdet - INFO - Epoch [3][4650/7330] lr: 1.000e-04, eta: 3 days, 19:21:42, time: 1.344, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0389, loss_semantic_seg: 0.2667, s0.loss_cls: 0.1954, s0.acc: 93.3115, s0.loss_bbox: 0.1073, s0.loss_mask: 0.2356, s1.loss_cls: 0.0936, s1.acc: 93.5769, s1.loss_bbox: 0.1063, s1.loss_mask: 0.1095, s2.loss_cls: 0.0466, s2.acc: 93.4195, s2.loss_bbox: 0.0638, s2.loss_mask: 0.0507, loss: 1.3492 2022-09-12 11:25:26,166 - mmdet - INFO - Epoch [3][4700/7330] lr: 1.000e-04, eta: 3 days, 19:20:50, time: 1.369, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0378, loss_semantic_seg: 0.2634, s0.loss_cls: 0.1965, s0.acc: 93.3679, s0.loss_bbox: 0.1065, s0.loss_mask: 0.2372, s1.loss_cls: 0.0928, s1.acc: 93.6923, s1.loss_bbox: 0.1053, s1.loss_mask: 0.1091, s2.loss_cls: 0.0464, s2.acc: 93.5929, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0512, loss: 1.3464 2022-09-12 11:26:34,327 - mmdet - INFO - Epoch [3][4750/7330] lr: 1.000e-04, eta: 3 days, 19:19:54, time: 1.363, data_time: 0.028, memory: 64747, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0394, loss_semantic_seg: 0.2560, s0.loss_cls: 0.2184, s0.acc: 92.6267, s0.loss_bbox: 0.1182, s0.loss_mask: 0.2400, s1.loss_cls: 0.1041, s1.acc: 93.0026, s1.loss_bbox: 0.1161, s1.loss_mask: 0.1115, s2.loss_cls: 0.0518, s2.acc: 92.9426, s2.loss_bbox: 0.0701, s2.loss_mask: 0.0520, loss: 1.4156 2022-09-12 11:27:42,051 - mmdet - INFO - Epoch [3][4800/7330] lr: 1.000e-04, eta: 3 days, 19:18:53, time: 1.354, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0402, loss_semantic_seg: 0.2592, s0.loss_cls: 0.2145, s0.acc: 92.7722, s0.loss_bbox: 0.1133, s0.loss_mask: 0.2407, s1.loss_cls: 0.1030, s1.acc: 93.0636, s1.loss_bbox: 0.1128, s1.loss_mask: 0.1116, s2.loss_cls: 0.0509, s2.acc: 92.9988, s2.loss_bbox: 0.0673, s2.loss_mask: 0.0520, loss: 1.4033 2022-09-12 11:28:49,264 - mmdet - INFO - Epoch [3][4850/7330] lr: 1.000e-04, eta: 3 days, 19:17:45, time: 1.344, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0378, loss_semantic_seg: 0.2494, s0.loss_cls: 0.2145, s0.acc: 92.8362, s0.loss_bbox: 0.1113, s0.loss_mask: 0.2380, s1.loss_cls: 0.1013, s1.acc: 93.2650, s1.loss_bbox: 0.1093, s1.loss_mask: 0.1100, s2.loss_cls: 0.0499, s2.acc: 93.2947, s2.loss_bbox: 0.0644, s2.loss_mask: 0.0510, loss: 1.3714 2022-09-12 11:29:56,428 - mmdet - INFO - Epoch [3][4900/7330] lr: 1.000e-04, eta: 3 days, 19:16:37, time: 1.343, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0402, loss_semantic_seg: 0.2595, s0.loss_cls: 0.2153, s0.acc: 92.6667, s0.loss_bbox: 0.1172, s0.loss_mask: 0.2334, s1.loss_cls: 0.1035, s1.acc: 93.0786, s1.loss_bbox: 0.1157, s1.loss_mask: 0.1073, s2.loss_cls: 0.0506, s2.acc: 93.0511, s2.loss_bbox: 0.0677, s2.loss_mask: 0.0501, loss: 1.3987 2022-09-12 11:31:04,186 - mmdet - INFO - Epoch [3][4950/7330] lr: 1.000e-04, eta: 3 days, 19:15:36, time: 1.355, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0396, loss_semantic_seg: 0.2602, s0.loss_cls: 0.2116, s0.acc: 92.8330, s0.loss_bbox: 0.1156, s0.loss_mask: 0.2394, s1.loss_cls: 0.0995, s1.acc: 93.2257, s1.loss_bbox: 0.1157, s1.loss_mask: 0.1105, s2.loss_cls: 0.0495, s2.acc: 93.1702, s2.loss_bbox: 0.0678, s2.loss_mask: 0.0514, loss: 1.3981 2022-09-12 11:32:10,887 - mmdet - INFO - Epoch [3][5000/7330] lr: 1.000e-04, eta: 3 days, 19:14:22, time: 1.334, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0393, loss_semantic_seg: 0.2573, s0.loss_cls: 0.2278, s0.acc: 92.4375, s0.loss_bbox: 0.1201, s0.loss_mask: 0.2412, s1.loss_cls: 0.1080, s1.acc: 92.7517, s1.loss_bbox: 0.1169, s1.loss_mask: 0.1115, s2.loss_cls: 0.0524, s2.acc: 92.8533, s2.loss_bbox: 0.0679, s2.loss_mask: 0.0522, loss: 1.4330 2022-09-12 11:33:20,370 - mmdet - INFO - Epoch [3][5050/7330] lr: 1.000e-04, eta: 3 days, 19:13:43, time: 1.389, data_time: 0.030, memory: 64747, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0384, loss_semantic_seg: 0.2617, s0.loss_cls: 0.2028, s0.acc: 93.1226, s0.loss_bbox: 0.1095, s0.loss_mask: 0.2346, s1.loss_cls: 0.0968, s1.acc: 93.4706, s1.loss_bbox: 0.1072, s1.loss_mask: 0.1090, s2.loss_cls: 0.0476, s2.acc: 93.4164, s2.loss_bbox: 0.0647, s2.loss_mask: 0.0510, loss: 1.3574 2022-09-12 11:34:29,437 - mmdet - INFO - Epoch [3][5100/7330] lr: 1.000e-04, eta: 3 days, 19:12:58, time: 1.381, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0375, loss_semantic_seg: 0.2724, s0.loss_cls: 0.2045, s0.acc: 93.0239, s0.loss_bbox: 0.1129, s0.loss_mask: 0.2355, s1.loss_cls: 0.0971, s1.acc: 93.3519, s1.loss_bbox: 0.1135, s1.loss_mask: 0.1091, s2.loss_cls: 0.0485, s2.acc: 93.1925, s2.loss_bbox: 0.0671, s2.loss_mask: 0.0507, loss: 1.3821 2022-09-12 11:35:37,794 - mmdet - INFO - Epoch [3][5150/7330] lr: 1.000e-04, eta: 3 days, 19:12:04, time: 1.367, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2635, s0.loss_cls: 0.2111, s0.acc: 92.9915, s0.loss_bbox: 0.1103, s0.loss_mask: 0.2371, s1.loss_cls: 0.1017, s1.acc: 93.2494, s1.loss_bbox: 0.1123, s1.loss_mask: 0.1104, s2.loss_cls: 0.0510, s2.acc: 93.1215, s2.loss_bbox: 0.0671, s2.loss_mask: 0.0514, loss: 1.3859 2022-09-12 11:36:45,498 - mmdet - INFO - Epoch [3][5200/7330] lr: 1.000e-04, eta: 3 days, 19:11:02, time: 1.353, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0379, loss_semantic_seg: 0.2429, s0.loss_cls: 0.2045, s0.acc: 93.0066, s0.loss_bbox: 0.1093, s0.loss_mask: 0.2283, s1.loss_cls: 0.0996, s1.acc: 93.2367, s1.loss_bbox: 0.1104, s1.loss_mask: 0.1069, s2.loss_cls: 0.0492, s2.acc: 93.1633, s2.loss_bbox: 0.0669, s2.loss_mask: 0.0500, loss: 1.3402 2022-09-12 11:37:52,691 - mmdet - INFO - Epoch [3][5250/7330] lr: 1.000e-04, eta: 3 days, 19:09:54, time: 1.345, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0331, loss_semantic_seg: 0.2577, s0.loss_cls: 0.2004, s0.acc: 93.2166, s0.loss_bbox: 0.1072, s0.loss_mask: 0.2442, s1.loss_cls: 0.0950, s1.acc: 93.5413, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1122, s2.loss_cls: 0.0473, s2.acc: 93.4536, s2.loss_bbox: 0.0654, s2.loss_mask: 0.0521, loss: 1.3568 2022-09-12 11:39:01,249 - mmdet - INFO - Epoch [3][5300/7330] lr: 1.000e-04, eta: 3 days, 19:09:03, time: 1.371, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0393, loss_semantic_seg: 0.2538, s0.loss_cls: 0.2150, s0.acc: 92.7810, s0.loss_bbox: 0.1137, s0.loss_mask: 0.2391, s1.loss_cls: 0.1029, s1.acc: 93.0456, s1.loss_bbox: 0.1126, s1.loss_mask: 0.1096, s2.loss_cls: 0.0510, s2.acc: 93.0525, s2.loss_bbox: 0.0656, s2.loss_mask: 0.0511, loss: 1.3935 2022-09-12 11:40:10,000 - mmdet - INFO - Epoch [3][5350/7330] lr: 1.000e-04, eta: 3 days, 19:08:14, time: 1.375, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0403, loss_semantic_seg: 0.2563, s0.loss_cls: 0.2252, s0.acc: 92.4807, s0.loss_bbox: 0.1186, s0.loss_mask: 0.2373, s1.loss_cls: 0.1069, s1.acc: 92.7788, s1.loss_bbox: 0.1182, s1.loss_mask: 0.1101, s2.loss_cls: 0.0527, s2.acc: 92.6873, s2.loss_bbox: 0.0698, s2.loss_mask: 0.0517, loss: 1.4255 2022-09-12 11:41:17,508 - mmdet - INFO - Epoch [3][5400/7330] lr: 1.000e-04, eta: 3 days, 19:07:09, time: 1.350, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0370, loss_semantic_seg: 0.2518, s0.loss_cls: 0.2075, s0.acc: 93.0615, s0.loss_bbox: 0.1124, s0.loss_mask: 0.2423, s1.loss_cls: 0.0981, s1.acc: 93.3641, s1.loss_bbox: 0.1103, s1.loss_mask: 0.1126, s2.loss_cls: 0.0482, s2.acc: 93.3631, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0526, loss: 1.3740 2022-09-12 11:42:24,293 - mmdet - INFO - Epoch [3][5450/7330] lr: 1.000e-04, eta: 3 days, 19:05:56, time: 1.336, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0335, loss_semantic_seg: 0.2582, s0.loss_cls: 0.2046, s0.acc: 93.1707, s0.loss_bbox: 0.1053, s0.loss_mask: 0.2318, s1.loss_cls: 0.0984, s1.acc: 93.3914, s1.loss_bbox: 0.1037, s1.loss_mask: 0.1072, s2.loss_cls: 0.0481, s2.acc: 93.4872, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0500, loss: 1.3394 2022-09-12 11:43:31,600 - mmdet - INFO - Epoch [3][5500/7330] lr: 1.000e-04, eta: 3 days, 19:04:49, time: 1.346, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2611, s0.loss_cls: 0.2075, s0.acc: 93.0750, s0.loss_bbox: 0.1096, s0.loss_mask: 0.2295, s1.loss_cls: 0.0992, s1.acc: 93.4060, s1.loss_bbox: 0.1084, s1.loss_mask: 0.1063, s2.loss_cls: 0.0487, s2.acc: 93.3501, s2.loss_bbox: 0.0641, s2.loss_mask: 0.0500, loss: 1.3520 2022-09-12 11:44:39,794 - mmdet - INFO - Epoch [3][5550/7330] lr: 1.000e-04, eta: 3 days, 19:03:53, time: 1.364, data_time: 0.037, memory: 64747, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0362, loss_semantic_seg: 0.2521, s0.loss_cls: 0.2040, s0.acc: 93.1208, s0.loss_bbox: 0.1104, s0.loss_mask: 0.2371, s1.loss_cls: 0.0968, s1.acc: 93.4654, s1.loss_bbox: 0.1115, s1.loss_mask: 0.1093, s2.loss_cls: 0.0484, s2.acc: 93.2448, s2.loss_bbox: 0.0659, s2.loss_mask: 0.0512, loss: 1.3590 2022-09-12 11:45:47,088 - mmdet - INFO - Epoch [3][5600/7330] lr: 1.000e-04, eta: 3 days, 19:02:46, time: 1.346, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0345, loss_semantic_seg: 0.2532, s0.loss_cls: 0.2031, s0.acc: 93.1145, s0.loss_bbox: 0.1095, s0.loss_mask: 0.2323, s1.loss_cls: 0.0973, s1.acc: 93.3916, s1.loss_bbox: 0.1088, s1.loss_mask: 0.1071, s2.loss_cls: 0.0481, s2.acc: 93.4170, s2.loss_bbox: 0.0654, s2.loss_mask: 0.0500, loss: 1.3410 2022-09-12 11:46:53,721 - mmdet - INFO - Epoch [3][5650/7330] lr: 1.000e-04, eta: 3 days, 19:01:30, time: 1.331, data_time: 0.019, memory: 64747, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0344, loss_semantic_seg: 0.2508, s0.loss_cls: 0.2085, s0.acc: 92.9990, s0.loss_bbox: 0.1110, s0.loss_mask: 0.2340, s1.loss_cls: 0.0993, s1.acc: 93.3569, s1.loss_bbox: 0.1116, s1.loss_mask: 0.1090, s2.loss_cls: 0.0486, s2.acc: 93.3226, s2.loss_bbox: 0.0657, s2.loss_mask: 0.0510, loss: 1.3566 2022-09-12 11:48:00,939 - mmdet - INFO - Epoch [3][5700/7330] lr: 1.000e-04, eta: 3 days, 19:00:24, time: 1.346, data_time: 0.028, memory: 64747, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0362, loss_semantic_seg: 0.2558, s0.loss_cls: 0.2147, s0.acc: 92.8215, s0.loss_bbox: 0.1135, s0.loss_mask: 0.2398, s1.loss_cls: 0.1029, s1.acc: 93.1157, s1.loss_bbox: 0.1129, s1.loss_mask: 0.1100, s2.loss_cls: 0.0505, s2.acc: 93.0675, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0514, loss: 1.3858 2022-09-12 11:49:10,131 - mmdet - INFO - Epoch [3][5750/7330] lr: 1.000e-04, eta: 3 days, 18:59:39, time: 1.384, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0393, loss_semantic_seg: 0.2545, s0.loss_cls: 0.2106, s0.acc: 92.9294, s0.loss_bbox: 0.1131, s0.loss_mask: 0.2369, s1.loss_cls: 0.0999, s1.acc: 93.2572, s1.loss_bbox: 0.1105, s1.loss_mask: 0.1098, s2.loss_cls: 0.0486, s2.acc: 93.3429, s2.loss_bbox: 0.0663, s2.loss_mask: 0.0514, loss: 1.3756 2022-09-12 11:50:19,036 - mmdet - INFO - Epoch [3][5800/7330] lr: 1.000e-04, eta: 3 days, 18:58:51, time: 1.378, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0392, loss_semantic_seg: 0.2656, s0.loss_cls: 0.2186, s0.acc: 92.6580, s0.loss_bbox: 0.1154, s0.loss_mask: 0.2406, s1.loss_cls: 0.1065, s1.acc: 92.8808, s1.loss_bbox: 0.1168, s1.loss_mask: 0.1116, s2.loss_cls: 0.0524, s2.acc: 92.9444, s2.loss_bbox: 0.0704, s2.loss_mask: 0.0524, loss: 1.4254 2022-09-12 11:51:26,901 - mmdet - INFO - Epoch [3][5850/7330] lr: 1.000e-04, eta: 3 days, 18:57:51, time: 1.357, data_time: 0.029, memory: 64747, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0353, loss_semantic_seg: 0.2614, s0.loss_cls: 0.2075, s0.acc: 92.9878, s0.loss_bbox: 0.1120, s0.loss_mask: 0.2339, s1.loss_cls: 0.0989, s1.acc: 93.3295, s1.loss_bbox: 0.1130, s1.loss_mask: 0.1085, s2.loss_cls: 0.0491, s2.acc: 93.2700, s2.loss_bbox: 0.0674, s2.loss_mask: 0.0506, loss: 1.3705 2022-09-12 11:52:34,956 - mmdet - INFO - Epoch [3][5900/7330] lr: 1.000e-04, eta: 3 days, 18:56:53, time: 1.361, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0369, loss_semantic_seg: 0.2477, s0.loss_cls: 0.2053, s0.acc: 93.0413, s0.loss_bbox: 0.1103, s0.loss_mask: 0.2355, s1.loss_cls: 0.0986, s1.acc: 93.2514, s1.loss_bbox: 0.1121, s1.loss_mask: 0.1092, s2.loss_cls: 0.0491, s2.acc: 93.0792, s2.loss_bbox: 0.0673, s2.loss_mask: 0.0511, loss: 1.3603 2022-09-12 11:53:43,701 - mmdet - INFO - Epoch [3][5950/7330] lr: 1.000e-04, eta: 3 days, 18:56:03, time: 1.375, data_time: 0.037, memory: 64747, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0369, loss_semantic_seg: 0.2529, s0.loss_cls: 0.2008, s0.acc: 93.1528, s0.loss_bbox: 0.1091, s0.loss_mask: 0.2408, s1.loss_cls: 0.0976, s1.acc: 93.2812, s1.loss_bbox: 0.1095, s1.loss_mask: 0.1111, s2.loss_cls: 0.0484, s2.acc: 93.2393, s2.loss_bbox: 0.0642, s2.loss_mask: 0.0513, loss: 1.3549 2022-09-12 11:54:51,877 - mmdet - INFO - Epoch [3][6000/7330] lr: 1.000e-04, eta: 3 days, 18:55:06, time: 1.363, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0387, loss_semantic_seg: 0.2511, s0.loss_cls: 0.2149, s0.acc: 92.7979, s0.loss_bbox: 0.1139, s0.loss_mask: 0.2393, s1.loss_cls: 0.1024, s1.acc: 93.0664, s1.loss_bbox: 0.1115, s1.loss_mask: 0.1106, s2.loss_cls: 0.0507, s2.acc: 92.9247, s2.loss_bbox: 0.0666, s2.loss_mask: 0.0518, loss: 1.3871 2022-09-12 11:56:00,215 - mmdet - INFO - Epoch [3][6050/7330] lr: 1.000e-04, eta: 3 days, 18:54:11, time: 1.367, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0390, loss_semantic_seg: 0.2610, s0.loss_cls: 0.2216, s0.acc: 92.5598, s0.loss_bbox: 0.1175, s0.loss_mask: 0.2392, s1.loss_cls: 0.1057, s1.acc: 92.9178, s1.loss_bbox: 0.1155, s1.loss_mask: 0.1098, s2.loss_cls: 0.0520, s2.acc: 92.8198, s2.loss_bbox: 0.0687, s2.loss_mask: 0.0508, loss: 1.4170 2022-09-12 11:57:07,494 - mmdet - INFO - Epoch [3][6100/7330] lr: 1.000e-04, eta: 3 days, 18:53:04, time: 1.346, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0357, loss_semantic_seg: 0.2494, s0.loss_cls: 0.1987, s0.acc: 93.3008, s0.loss_bbox: 0.1069, s0.loss_mask: 0.2422, s1.loss_cls: 0.0953, s1.acc: 93.5493, s1.loss_bbox: 0.1083, s1.loss_mask: 0.1124, s2.loss_cls: 0.0471, s2.acc: 93.4934, s2.loss_bbox: 0.0641, s2.loss_mask: 0.0524, loss: 1.3461 2022-09-12 11:58:14,682 - mmdet - INFO - Epoch [3][6150/7330] lr: 1.000e-04, eta: 3 days, 18:51:55, time: 1.344, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0396, loss_semantic_seg: 0.2497, s0.loss_cls: 0.2146, s0.acc: 92.7644, s0.loss_bbox: 0.1158, s0.loss_mask: 0.2374, s1.loss_cls: 0.1027, s1.acc: 93.0046, s1.loss_bbox: 0.1138, s1.loss_mask: 0.1095, s2.loss_cls: 0.0505, s2.acc: 92.9986, s2.loss_bbox: 0.0677, s2.loss_mask: 0.0508, loss: 1.3876 2022-09-12 11:59:22,482 - mmdet - INFO - Epoch [3][6200/7330] lr: 1.000e-04, eta: 3 days, 18:50:54, time: 1.356, data_time: 0.033, memory: 64747, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0372, loss_semantic_seg: 0.2490, s0.loss_cls: 0.2042, s0.acc: 93.0483, s0.loss_bbox: 0.1111, s0.loss_mask: 0.2377, s1.loss_cls: 0.0994, s1.acc: 93.2214, s1.loss_bbox: 0.1116, s1.loss_mask: 0.1104, s2.loss_cls: 0.0495, s2.acc: 93.0018, s2.loss_bbox: 0.0673, s2.loss_mask: 0.0514, loss: 1.3628 2022-09-12 12:00:32,418 - mmdet - INFO - Epoch [3][6250/7330] lr: 1.000e-04, eta: 3 days, 18:50:17, time: 1.397, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0366, loss_semantic_seg: 0.2564, s0.loss_cls: 0.2124, s0.acc: 92.8857, s0.loss_bbox: 0.1129, s0.loss_mask: 0.2360, s1.loss_cls: 0.1014, s1.acc: 93.1171, s1.loss_bbox: 0.1114, s1.loss_mask: 0.1089, s2.loss_cls: 0.0493, s2.acc: 93.0834, s2.loss_bbox: 0.0656, s2.loss_mask: 0.0504, loss: 1.3756 2022-09-12 12:01:39,841 - mmdet - INFO - Epoch [3][6300/7330] lr: 1.000e-04, eta: 3 days, 18:49:12, time: 1.350, data_time: 0.029, memory: 64747, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0329, loss_semantic_seg: 0.2652, s0.loss_cls: 0.2098, s0.acc: 93.1062, s0.loss_bbox: 0.1098, s0.loss_mask: 0.2352, s1.loss_cls: 0.0995, s1.acc: 93.3607, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1098, s2.loss_cls: 0.0491, s2.acc: 93.2602, s2.loss_bbox: 0.0675, s2.loss_mask: 0.0517, loss: 1.3714 2022-09-12 12:02:47,175 - mmdet - INFO - Epoch [3][6350/7330] lr: 1.000e-04, eta: 3 days, 18:48:05, time: 1.347, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0348, loss_semantic_seg: 0.2510, s0.loss_cls: 0.2007, s0.acc: 93.2827, s0.loss_bbox: 0.1071, s0.loss_mask: 0.2340, s1.loss_cls: 0.0961, s1.acc: 93.5947, s1.loss_bbox: 0.1069, s1.loss_mask: 0.1084, s2.loss_cls: 0.0472, s2.acc: 93.4945, s2.loss_bbox: 0.0643, s2.loss_mask: 0.0501, loss: 1.3322 2022-09-12 12:03:54,220 - mmdet - INFO - Epoch [3][6400/7330] lr: 1.000e-04, eta: 3 days, 18:46:55, time: 1.341, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0372, loss_semantic_seg: 0.2492, s0.loss_cls: 0.2087, s0.acc: 93.0000, s0.loss_bbox: 0.1121, s0.loss_mask: 0.2387, s1.loss_cls: 0.0984, s1.acc: 93.3337, s1.loss_bbox: 0.1145, s1.loss_mask: 0.1106, s2.loss_cls: 0.0494, s2.acc: 93.1343, s2.loss_bbox: 0.0677, s2.loss_mask: 0.0511, loss: 1.3737 2022-09-12 12:05:02,001 - mmdet - INFO - Epoch [3][6450/7330] lr: 1.000e-04, eta: 3 days, 18:45:53, time: 1.356, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0393, loss_semantic_seg: 0.2526, s0.loss_cls: 0.2022, s0.acc: 93.0488, s0.loss_bbox: 0.1127, s0.loss_mask: 0.2383, s1.loss_cls: 0.0962, s1.acc: 93.3823, s1.loss_bbox: 0.1141, s1.loss_mask: 0.1102, s2.loss_cls: 0.0472, s2.acc: 93.4455, s2.loss_bbox: 0.0679, s2.loss_mask: 0.0510, loss: 1.3679 2022-09-12 12:06:09,242 - mmdet - INFO - Epoch [3][6500/7330] lr: 1.000e-04, eta: 3 days, 18:44:45, time: 1.344, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0392, loss_semantic_seg: 0.2401, s0.loss_cls: 0.2140, s0.acc: 92.7515, s0.loss_bbox: 0.1132, s0.loss_mask: 0.2428, s1.loss_cls: 0.1016, s1.acc: 93.1375, s1.loss_bbox: 0.1148, s1.loss_mask: 0.1125, s2.loss_cls: 0.0501, s2.acc: 92.9880, s2.loss_bbox: 0.0681, s2.loss_mask: 0.0523, loss: 1.3805 2022-09-12 12:07:18,734 - mmdet - INFO - Epoch [3][6550/7330] lr: 1.000e-04, eta: 3 days, 18:44:03, time: 1.390, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0377, loss_semantic_seg: 0.2403, s0.loss_cls: 0.2040, s0.acc: 93.1543, s0.loss_bbox: 0.1093, s0.loss_mask: 0.2313, s1.loss_cls: 0.0973, s1.acc: 93.4651, s1.loss_bbox: 0.1090, s1.loss_mask: 0.1060, s2.loss_cls: 0.0474, s2.acc: 93.3982, s2.loss_bbox: 0.0659, s2.loss_mask: 0.0496, loss: 1.3314 2022-09-12 12:08:27,578 - mmdet - INFO - Epoch [3][6600/7330] lr: 1.000e-04, eta: 3 days, 18:43:13, time: 1.377, data_time: 0.033, memory: 64747, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0377, loss_semantic_seg: 0.2467, s0.loss_cls: 0.2002, s0.acc: 93.1577, s0.loss_bbox: 0.1095, s0.loss_mask: 0.2344, s1.loss_cls: 0.0953, s1.acc: 93.4400, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1079, s2.loss_cls: 0.0471, s2.acc: 93.2514, s2.loss_bbox: 0.0648, s2.loss_mask: 0.0506, loss: 1.3345 2022-09-12 12:09:35,446 - mmdet - INFO - Epoch [3][6650/7330] lr: 1.000e-04, eta: 3 days, 18:42:12, time: 1.357, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0373, loss_semantic_seg: 0.2424, s0.loss_cls: 0.2104, s0.acc: 92.9260, s0.loss_bbox: 0.1118, s0.loss_mask: 0.2342, s1.loss_cls: 0.1014, s1.acc: 93.1619, s1.loss_bbox: 0.1106, s1.loss_mask: 0.1082, s2.loss_cls: 0.0500, s2.acc: 93.0578, s2.loss_bbox: 0.0663, s2.loss_mask: 0.0507, loss: 1.3580 2022-09-12 12:10:43,840 - mmdet - INFO - Epoch [3][6700/7330] lr: 1.000e-04, eta: 3 days, 18:41:17, time: 1.368, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0381, loss_semantic_seg: 0.2438, s0.loss_cls: 0.2024, s0.acc: 93.0679, s0.loss_bbox: 0.1129, s0.loss_mask: 0.2399, s1.loss_cls: 0.0970, s1.acc: 93.3097, s1.loss_bbox: 0.1124, s1.loss_mask: 0.1108, s2.loss_cls: 0.0487, s2.acc: 93.0723, s2.loss_bbox: 0.0671, s2.loss_mask: 0.0518, loss: 1.3574 2022-09-12 12:11:51,885 - mmdet - INFO - Epoch [3][6750/7330] lr: 1.000e-04, eta: 3 days, 18:40:18, time: 1.361, data_time: 0.037, memory: 64747, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2503, s0.loss_cls: 0.2032, s0.acc: 93.2346, s0.loss_bbox: 0.1098, s0.loss_mask: 0.2395, s1.loss_cls: 0.0948, s1.acc: 93.5880, s1.loss_bbox: 0.1105, s1.loss_mask: 0.1104, s2.loss_cls: 0.0469, s2.acc: 93.4980, s2.loss_bbox: 0.0654, s2.loss_mask: 0.0515, loss: 1.3510 2022-09-12 12:12:59,717 - mmdet - INFO - Epoch [3][6800/7330] lr: 1.000e-04, eta: 3 days, 18:39:16, time: 1.355, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2425, s0.loss_cls: 0.2065, s0.acc: 93.1709, s0.loss_bbox: 0.1084, s0.loss_mask: 0.2367, s1.loss_cls: 0.0991, s1.acc: 93.3322, s1.loss_bbox: 0.1090, s1.loss_mask: 0.1105, s2.loss_cls: 0.0494, s2.acc: 93.2230, s2.loss_bbox: 0.0655, s2.loss_mask: 0.0518, loss: 1.3483 2022-09-12 12:14:07,856 - mmdet - INFO - Epoch [3][6850/7330] lr: 1.000e-04, eta: 3 days, 18:38:19, time: 1.364, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0336, loss_semantic_seg: 0.2466, s0.loss_cls: 0.2075, s0.acc: 93.0798, s0.loss_bbox: 0.1109, s0.loss_mask: 0.2367, s1.loss_cls: 0.0991, s1.acc: 93.3533, s1.loss_bbox: 0.1117, s1.loss_mask: 0.1108, s2.loss_cls: 0.0490, s2.acc: 93.3746, s2.loss_bbox: 0.0674, s2.loss_mask: 0.0517, loss: 1.3587 2022-09-12 12:15:15,913 - mmdet - INFO - Epoch [3][6900/7330] lr: 1.000e-04, eta: 3 days, 18:37:19, time: 1.360, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0370, loss_semantic_seg: 0.2444, s0.loss_cls: 0.2110, s0.acc: 92.8938, s0.loss_bbox: 0.1127, s0.loss_mask: 0.2373, s1.loss_cls: 0.1004, s1.acc: 93.1608, s1.loss_bbox: 0.1130, s1.loss_mask: 0.1089, s2.loss_cls: 0.0500, s2.acc: 93.0564, s2.loss_bbox: 0.0656, s2.loss_mask: 0.0510, loss: 1.3650 2022-09-12 12:16:25,140 - mmdet - INFO - Epoch [3][6950/7330] lr: 1.000e-04, eta: 3 days, 18:36:34, time: 1.386, data_time: 0.032, memory: 64747, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0374, loss_semantic_seg: 0.2435, s0.loss_cls: 0.1978, s0.acc: 93.1941, s0.loss_bbox: 0.1077, s0.loss_mask: 0.2334, s1.loss_cls: 0.0953, s1.acc: 93.4239, s1.loss_bbox: 0.1116, s1.loss_mask: 0.1079, s2.loss_cls: 0.0479, s2.acc: 93.2884, s2.loss_bbox: 0.0678, s2.loss_mask: 0.0504, loss: 1.3337 2022-09-12 12:17:33,579 - mmdet - INFO - Epoch [3][7000/7330] lr: 1.000e-04, eta: 3 days, 18:35:39, time: 1.369, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0354, loss_semantic_seg: 0.2392, s0.loss_cls: 0.1871, s0.acc: 93.5859, s0.loss_bbox: 0.1033, s0.loss_mask: 0.2246, s1.loss_cls: 0.0901, s1.acc: 93.8815, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1041, s2.loss_cls: 0.0451, s2.acc: 93.6640, s2.loss_bbox: 0.0637, s2.loss_mask: 0.0487, loss: 1.2765 2022-09-12 12:18:41,970 - mmdet - INFO - Epoch [3][7050/7330] lr: 1.000e-04, eta: 3 days, 18:34:43, time: 1.367, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0372, loss_semantic_seg: 0.2589, s0.loss_cls: 0.2180, s0.acc: 92.6650, s0.loss_bbox: 0.1138, s0.loss_mask: 0.2368, s1.loss_cls: 0.1044, s1.acc: 92.9365, s1.loss_bbox: 0.1125, s1.loss_mask: 0.1099, s2.loss_cls: 0.0514, s2.acc: 92.8710, s2.loss_bbox: 0.0682, s2.loss_mask: 0.0515, loss: 1.3993 2022-09-12 12:19:49,730 - mmdet - INFO - Epoch [3][7100/7330] lr: 1.000e-04, eta: 3 days, 18:33:41, time: 1.356, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0369, loss_semantic_seg: 0.2470, s0.loss_cls: 0.1909, s0.acc: 93.3408, s0.loss_bbox: 0.1060, s0.loss_mask: 0.2253, s1.loss_cls: 0.0918, s1.acc: 93.6928, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1040, s2.loss_cls: 0.0460, s2.acc: 93.5625, s2.loss_bbox: 0.0637, s2.loss_mask: 0.0482, loss: 1.3000 2022-09-12 12:20:58,020 - mmdet - INFO - Epoch [3][7150/7330] lr: 1.000e-04, eta: 3 days, 18:32:44, time: 1.366, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0340, loss_semantic_seg: 0.2417, s0.loss_cls: 0.2031, s0.acc: 93.1589, s0.loss_bbox: 0.1127, s0.loss_mask: 0.2339, s1.loss_cls: 0.0972, s1.acc: 93.4343, s1.loss_bbox: 0.1096, s1.loss_mask: 0.1069, s2.loss_cls: 0.0483, s2.acc: 93.4068, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0496, loss: 1.3367 2022-09-12 12:22:06,158 - mmdet - INFO - Epoch [3][7200/7330] lr: 1.000e-04, eta: 3 days, 18:31:46, time: 1.363, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0368, loss_semantic_seg: 0.2467, s0.loss_cls: 0.2022, s0.acc: 93.2305, s0.loss_bbox: 0.1112, s0.loss_mask: 0.2362, s1.loss_cls: 0.0971, s1.acc: 93.5016, s1.loss_bbox: 0.1115, s1.loss_mask: 0.1096, s2.loss_cls: 0.0478, s2.acc: 93.3006, s2.loss_bbox: 0.0669, s2.loss_mask: 0.0510, loss: 1.3506 2022-09-12 12:23:14,571 - mmdet - INFO - Epoch [3][7250/7330] lr: 1.000e-04, eta: 3 days, 18:30:51, time: 1.368, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0374, loss_semantic_seg: 0.2401, s0.loss_cls: 0.2011, s0.acc: 93.1133, s0.loss_bbox: 0.1082, s0.loss_mask: 0.2317, s1.loss_cls: 0.0956, s1.acc: 93.4228, s1.loss_bbox: 0.1088, s1.loss_mask: 0.1080, s2.loss_cls: 0.0478, s2.acc: 93.2858, s2.loss_bbox: 0.0659, s2.loss_mask: 0.0506, loss: 1.3302 2022-09-12 12:24:22,441 - mmdet - INFO - Epoch [3][7300/7330] lr: 1.000e-04, eta: 3 days, 18:29:49, time: 1.358, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0395, loss_semantic_seg: 0.2347, s0.loss_cls: 0.2078, s0.acc: 92.9502, s0.loss_bbox: 0.1127, s0.loss_mask: 0.2332, s1.loss_cls: 0.0999, s1.acc: 93.1191, s1.loss_bbox: 0.1146, s1.loss_mask: 0.1077, s2.loss_cls: 0.0496, s2.acc: 93.0266, s2.loss_bbox: 0.0691, s2.loss_mask: 0.0501, loss: 1.3539 2022-09-12 12:25:11,543 - mmdet - INFO - Saving checkpoint at 3 epochs 2022-09-12 12:28:57,843 - mmdet - INFO - Evaluating bbox... 2022-09-12 12:30:02,873 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.465 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.655 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.517 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.331 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.505 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.556 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.662 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.662 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.662 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.508 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.706 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.779 2022-09-12 12:30:02,874 - mmdet - INFO - Evaluating segm... 2022-09-12 12:31:22,827 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.414 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.636 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.448 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.240 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.456 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.561 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.414 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.624 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.718 2022-09-12 12:31:24,227 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 12:31:24,228 - mmdet - INFO - Epoch(val) [3][313] bbox_mAP: 0.4650, bbox_mAP_50: 0.6550, bbox_mAP_75: 0.5170, bbox_mAP_s: 0.3310, bbox_mAP_m: 0.5050, bbox_mAP_l: 0.5560, bbox_mAP_copypaste: 0.465 0.655 0.517 0.331 0.505 0.556, segm_mAP: 0.4140, segm_mAP_50: 0.6360, segm_mAP_75: 0.4480, segm_mAP_s: 0.2400, segm_mAP_m: 0.4560, segm_mAP_l: 0.5610, segm_mAP_copypaste: 0.414 0.636 0.448 0.240 0.456 0.561 2022-09-12 12:34:28,462 - mmdet - INFO - Epoch [4][50/7330] lr: 1.000e-04, eta: 3 days, 18:42:00, time: 3.683, data_time: 2.303, memory: 64747, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0368, loss_semantic_seg: 0.2525, s0.loss_cls: 0.2065, s0.acc: 92.9458, s0.loss_bbox: 0.1127, s0.loss_mask: 0.2352, s1.loss_cls: 0.0985, s1.acc: 93.1567, s1.loss_bbox: 0.1142, s1.loss_mask: 0.1092, s2.loss_cls: 0.0491, s2.acc: 93.0271, s2.loss_bbox: 0.0686, s2.loss_mask: 0.0503, loss: 1.3693 2022-09-12 12:35:37,244 - mmdet - INFO - Epoch [4][100/7330] lr: 1.000e-04, eta: 3 days, 18:41:07, time: 1.376, data_time: 0.028, memory: 64747, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0358, loss_semantic_seg: 0.2523, s0.loss_cls: 0.2029, s0.acc: 93.0601, s0.loss_bbox: 0.1063, s0.loss_mask: 0.2311, s1.loss_cls: 0.0978, s1.acc: 93.3402, s1.loss_bbox: 0.1088, s1.loss_mask: 0.1070, s2.loss_cls: 0.0489, s2.acc: 93.2215, s2.loss_bbox: 0.0664, s2.loss_mask: 0.0499, loss: 1.3390 2022-09-12 12:36:45,036 - mmdet - INFO - Epoch [4][150/7330] lr: 1.000e-04, eta: 3 days, 18:40:02, time: 1.356, data_time: 0.019, memory: 64747, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0350, loss_semantic_seg: 0.2400, s0.loss_cls: 0.1953, s0.acc: 93.3284, s0.loss_bbox: 0.1052, s0.loss_mask: 0.2265, s1.loss_cls: 0.0926, s1.acc: 93.5684, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1039, s2.loss_cls: 0.0462, s2.acc: 93.6006, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0483, loss: 1.2924 2022-09-12 12:37:53,139 - mmdet - INFO - Epoch [4][200/7330] lr: 1.000e-04, eta: 3 days, 18:39:01, time: 1.362, data_time: 0.020, memory: 64747, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0349, loss_semantic_seg: 0.2421, s0.loss_cls: 0.1964, s0.acc: 93.2471, s0.loss_bbox: 0.1063, s0.loss_mask: 0.2282, s1.loss_cls: 0.0939, s1.acc: 93.5307, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1065, s2.loss_cls: 0.0464, s2.acc: 93.4640, s2.loss_bbox: 0.0642, s2.loss_mask: 0.0499, loss: 1.3054 2022-09-12 12:39:01,227 - mmdet - INFO - Epoch [4][250/7330] lr: 1.000e-04, eta: 3 days, 18:38:00, time: 1.361, data_time: 0.019, memory: 64747, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0350, loss_semantic_seg: 0.2430, s0.loss_cls: 0.1892, s0.acc: 93.4932, s0.loss_bbox: 0.1048, s0.loss_mask: 0.2241, s1.loss_cls: 0.0913, s1.acc: 93.7036, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1040, s2.loss_cls: 0.0446, s2.acc: 93.6465, s2.loss_bbox: 0.0636, s2.loss_mask: 0.0487, loss: 1.2882 2022-09-12 12:40:09,588 - mmdet - INFO - Epoch [4][300/7330] lr: 1.000e-04, eta: 3 days, 18:37:02, time: 1.368, data_time: 0.027, memory: 64747, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0361, loss_semantic_seg: 0.2389, s0.loss_cls: 0.1946, s0.acc: 93.4814, s0.loss_bbox: 0.1043, s0.loss_mask: 0.2257, s1.loss_cls: 0.0934, s1.acc: 93.6969, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1040, s2.loss_cls: 0.0466, s2.acc: 93.6001, s2.loss_bbox: 0.0639, s2.loss_mask: 0.0483, loss: 1.2924 2022-09-12 12:41:17,263 - mmdet - INFO - Epoch [4][350/7330] lr: 1.000e-04, eta: 3 days, 18:35:56, time: 1.353, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0369, loss_semantic_seg: 0.2576, s0.loss_cls: 0.2081, s0.acc: 93.0522, s0.loss_bbox: 0.1098, s0.loss_mask: 0.2335, s1.loss_cls: 0.0979, s1.acc: 93.4085, s1.loss_bbox: 0.1097, s1.loss_mask: 0.1085, s2.loss_cls: 0.0489, s2.acc: 93.2820, s2.loss_bbox: 0.0649, s2.loss_mask: 0.0504, loss: 1.3605 2022-09-12 12:42:25,858 - mmdet - INFO - Epoch [4][400/7330] lr: 1.000e-04, eta: 3 days, 18:35:00, time: 1.372, data_time: 0.026, memory: 64747, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0365, loss_semantic_seg: 0.2394, s0.loss_cls: 0.2048, s0.acc: 93.0491, s0.loss_bbox: 0.1106, s0.loss_mask: 0.2278, s1.loss_cls: 0.0973, s1.acc: 93.4166, s1.loss_bbox: 0.1121, s1.loss_mask: 0.1050, s2.loss_cls: 0.0482, s2.acc: 93.2164, s2.loss_bbox: 0.0667, s2.loss_mask: 0.0487, loss: 1.3312 2022-09-12 12:43:33,969 - mmdet - INFO - Epoch [4][450/7330] lr: 1.000e-04, eta: 3 days, 18:33:58, time: 1.361, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0384, loss_semantic_seg: 0.2489, s0.loss_cls: 0.2014, s0.acc: 93.1282, s0.loss_bbox: 0.1107, s0.loss_mask: 0.2387, s1.loss_cls: 0.0964, s1.acc: 93.3957, s1.loss_bbox: 0.1088, s1.loss_mask: 0.1093, s2.loss_cls: 0.0477, s2.acc: 93.3302, s2.loss_bbox: 0.0647, s2.loss_mask: 0.0507, loss: 1.3509 2022-09-12 12:44:40,836 - mmdet - INFO - Epoch [4][500/7330] lr: 1.000e-04, eta: 3 days, 18:32:44, time: 1.339, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0356, loss_semantic_seg: 0.2465, s0.loss_cls: 0.1978, s0.acc: 93.3259, s0.loss_bbox: 0.1068, s0.loss_mask: 0.2331, s1.loss_cls: 0.0944, s1.acc: 93.6540, s1.loss_bbox: 0.1082, s1.loss_mask: 0.1096, s2.loss_cls: 0.0467, s2.acc: 93.5505, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0514, loss: 1.3257 2022-09-12 12:45:48,868 - mmdet - INFO - Epoch [4][550/7330] lr: 1.000e-04, eta: 3 days, 18:31:42, time: 1.361, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0370, loss_semantic_seg: 0.2597, s0.loss_cls: 0.1995, s0.acc: 93.1724, s0.loss_bbox: 0.1095, s0.loss_mask: 0.2322, s1.loss_cls: 0.0958, s1.acc: 93.4243, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1084, s2.loss_cls: 0.0474, s2.acc: 93.3657, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0509, loss: 1.3487 2022-09-12 12:46:56,669 - mmdet - INFO - Epoch [4][600/7330] lr: 1.000e-04, eta: 3 days, 18:30:38, time: 1.356, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0364, loss_semantic_seg: 0.2386, s0.loss_cls: 0.1923, s0.acc: 93.4360, s0.loss_bbox: 0.1044, s0.loss_mask: 0.2328, s1.loss_cls: 0.0911, s1.acc: 93.7413, s1.loss_bbox: 0.1052, s1.loss_mask: 0.1079, s2.loss_cls: 0.0457, s2.acc: 93.6064, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0502, loss: 1.3012 2022-09-12 12:48:05,651 - mmdet - INFO - Epoch [4][650/7330] lr: 1.000e-04, eta: 3 days, 18:29:46, time: 1.380, data_time: 0.018, memory: 64747, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0378, loss_semantic_seg: 0.2512, s0.loss_cls: 0.2062, s0.acc: 92.8809, s0.loss_bbox: 0.1116, s0.loss_mask: 0.2361, s1.loss_cls: 0.0978, s1.acc: 93.2628, s1.loss_bbox: 0.1127, s1.loss_mask: 0.1098, s2.loss_cls: 0.0484, s2.acc: 93.2089, s2.loss_bbox: 0.0670, s2.loss_mask: 0.0515, loss: 1.3657 2022-09-12 12:49:13,790 - mmdet - INFO - Epoch [4][700/7330] lr: 1.000e-04, eta: 3 days, 18:28:44, time: 1.361, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2425, s0.loss_cls: 0.1946, s0.acc: 93.2629, s0.loss_bbox: 0.1078, s0.loss_mask: 0.2324, s1.loss_cls: 0.0928, s1.acc: 93.5099, s1.loss_bbox: 0.1106, s1.loss_mask: 0.1084, s2.loss_cls: 0.0464, s2.acc: 93.4680, s2.loss_bbox: 0.0669, s2.loss_mask: 0.0503, loss: 1.3200 2022-09-12 12:50:21,758 - mmdet - INFO - Epoch [4][750/7330] lr: 1.000e-04, eta: 3 days, 18:27:42, time: 1.361, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2353, s0.loss_cls: 0.1937, s0.acc: 93.4033, s0.loss_bbox: 0.1051, s0.loss_mask: 0.2318, s1.loss_cls: 0.0927, s1.acc: 93.6009, s1.loss_bbox: 0.1070, s1.loss_mask: 0.1080, s2.loss_cls: 0.0460, s2.acc: 93.5273, s2.loss_bbox: 0.0644, s2.loss_mask: 0.0503, loss: 1.3000 2022-09-12 12:51:30,359 - mmdet - INFO - Epoch [4][800/7330] lr: 1.000e-04, eta: 3 days, 18:26:46, time: 1.372, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0378, loss_semantic_seg: 0.2428, s0.loss_cls: 0.1962, s0.acc: 93.2148, s0.loss_bbox: 0.1112, s0.loss_mask: 0.2334, s1.loss_cls: 0.0938, s1.acc: 93.5232, s1.loss_bbox: 0.1109, s1.loss_mask: 0.1077, s2.loss_cls: 0.0468, s2.acc: 93.3918, s2.loss_bbox: 0.0659, s2.loss_mask: 0.0500, loss: 1.3283 2022-09-12 12:52:37,150 - mmdet - INFO - Epoch [4][850/7330] lr: 1.000e-04, eta: 3 days, 18:25:30, time: 1.335, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0331, loss_semantic_seg: 0.2476, s0.loss_cls: 0.1883, s0.acc: 93.5493, s0.loss_bbox: 0.1010, s0.loss_mask: 0.2271, s1.loss_cls: 0.0901, s1.acc: 93.8880, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1051, s2.loss_cls: 0.0451, s2.acc: 93.6999, s2.loss_bbox: 0.0632, s2.loss_mask: 0.0494, loss: 1.2842 2022-09-12 12:53:45,312 - mmdet - INFO - Epoch [4][900/7330] lr: 1.000e-04, eta: 3 days, 18:24:29, time: 1.364, data_time: 0.025, memory: 64747, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0357, loss_semantic_seg: 0.2453, s0.loss_cls: 0.2058, s0.acc: 92.9263, s0.loss_bbox: 0.1129, s0.loss_mask: 0.2332, s1.loss_cls: 0.0989, s1.acc: 93.1548, s1.loss_bbox: 0.1141, s1.loss_mask: 0.1084, s2.loss_cls: 0.0494, s2.acc: 93.0915, s2.loss_bbox: 0.0681, s2.loss_mask: 0.0505, loss: 1.3544 2022-09-12 12:54:52,600 - mmdet - INFO - Epoch [4][950/7330] lr: 1.000e-04, eta: 3 days, 18:23:20, time: 1.347, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0364, loss_semantic_seg: 0.2497, s0.loss_cls: 0.2005, s0.acc: 93.3074, s0.loss_bbox: 0.1105, s0.loss_mask: 0.2306, s1.loss_cls: 0.0947, s1.acc: 93.6183, s1.loss_bbox: 0.1114, s1.loss_mask: 0.1082, s2.loss_cls: 0.0477, s2.acc: 93.4319, s2.loss_bbox: 0.0675, s2.loss_mask: 0.0503, loss: 1.3410 2022-09-12 12:55:59,160 - mmdet - INFO - Epoch [4][1000/7330] lr: 1.000e-04, eta: 3 days, 18:22:01, time: 1.329, data_time: 0.022, memory: 64747, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0345, loss_semantic_seg: 0.2445, s0.loss_cls: 0.1910, s0.acc: 93.5479, s0.loss_bbox: 0.1042, s0.loss_mask: 0.2285, s1.loss_cls: 0.0914, s1.acc: 93.8038, s1.loss_bbox: 0.1060, s1.loss_mask: 0.1068, s2.loss_cls: 0.0453, s2.acc: 93.7197, s2.loss_bbox: 0.0647, s2.loss_mask: 0.0498, loss: 1.2973 2022-09-12 12:57:06,186 - mmdet - INFO - Epoch [4][1050/7330] lr: 1.000e-04, eta: 3 days, 18:20:49, time: 1.343, data_time: 0.023, memory: 64747, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0346, loss_semantic_seg: 0.2313, s0.loss_cls: 0.1933, s0.acc: 93.4353, s0.loss_bbox: 0.1039, s0.loss_mask: 0.2346, s1.loss_cls: 0.0910, s1.acc: 93.7849, s1.loss_bbox: 0.1068, s1.loss_mask: 0.1101, s2.loss_cls: 0.0449, s2.acc: 93.6745, s2.loss_bbox: 0.0652, s2.loss_mask: 0.0518, loss: 1.2982 2022-09-12 12:58:14,475 - mmdet - INFO - Epoch [4][1100/7330] lr: 1.000e-04, eta: 3 days, 18:19:50, time: 1.366, data_time: 0.021, memory: 64747, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0376, loss_semantic_seg: 0.2451, s0.loss_cls: 0.1986, s0.acc: 93.1414, s0.loss_bbox: 0.1095, s0.loss_mask: 0.2292, s1.loss_cls: 0.0951, s1.acc: 93.4439, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1056, s2.loss_cls: 0.0471, s2.acc: 93.3582, s2.loss_bbox: 0.0659, s2.loss_mask: 0.0488, loss: 1.3226 2022-09-12 12:59:23,352 - mmdet - INFO - Epoch [4][1150/7330] lr: 1.000e-04, eta: 3 days, 18:18:56, time: 1.378, data_time: 0.024, memory: 64747, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0390, loss_semantic_seg: 0.2466, s0.loss_cls: 0.2075, s0.acc: 92.9038, s0.loss_bbox: 0.1119, s0.loss_mask: 0.2339, s1.loss_cls: 0.0992, s1.acc: 93.2458, s1.loss_bbox: 0.1119, s1.loss_mask: 0.1076, s2.loss_cls: 0.0492, s2.acc: 93.0915, s2.loss_bbox: 0.0659, s2.loss_mask: 0.0502, loss: 1.3586 2022-09-12 13:00:30,602 - mmdet - INFO - Epoch [4][1200/7330] lr: 1.000e-04, eta: 3 days, 18:17:46, time: 1.345, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2403, s0.loss_cls: 0.1973, s0.acc: 93.1946, s0.loss_bbox: 0.1103, s0.loss_mask: 0.2352, s1.loss_cls: 0.0936, s1.acc: 93.5119, s1.loss_bbox: 0.1108, s1.loss_mask: 0.1094, s2.loss_cls: 0.0460, s2.acc: 93.3870, s2.loss_bbox: 0.0660, s2.loss_mask: 0.0507, loss: 1.3277 2022-09-12 13:01:37,374 - mmdet - INFO - Epoch [4][1250/7330] lr: 1.000e-04, eta: 3 days, 18:16:30, time: 1.335, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2428, s0.loss_cls: 0.1973, s0.acc: 93.3379, s0.loss_bbox: 0.1074, s0.loss_mask: 0.2299, s1.loss_cls: 0.0944, s1.acc: 93.5566, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1063, s2.loss_cls: 0.0472, s2.acc: 93.5066, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0494, loss: 1.3140 2022-09-12 13:02:45,341 - mmdet - INFO - Epoch [4][1300/7330] lr: 1.000e-04, eta: 3 days, 18:15:27, time: 1.359, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0379, loss_semantic_seg: 0.2540, s0.loss_cls: 0.2013, s0.acc: 93.1685, s0.loss_bbox: 0.1085, s0.loss_mask: 0.2338, s1.loss_cls: 0.0963, s1.acc: 93.4856, s1.loss_bbox: 0.1107, s1.loss_mask: 0.1091, s2.loss_cls: 0.0485, s2.acc: 93.2754, s2.loss_bbox: 0.0662, s2.loss_mask: 0.0511, loss: 1.3521 2022-09-12 13:03:54,480 - mmdet - INFO - Epoch [4][1350/7330] lr: 1.000e-04, eta: 3 days, 18:14:36, time: 1.383, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0368, loss_semantic_seg: 0.2561, s0.loss_cls: 0.2027, s0.acc: 93.2134, s0.loss_bbox: 0.1047, s0.loss_mask: 0.2233, s1.loss_cls: 0.0972, s1.acc: 93.3811, s1.loss_bbox: 0.1068, s1.loss_mask: 0.1033, s2.loss_cls: 0.0493, s2.acc: 93.0730, s2.loss_bbox: 0.0652, s2.loss_mask: 0.0485, loss: 1.3264 2022-09-12 13:05:02,846 - mmdet - INFO - Epoch [4][1400/7330] lr: 1.000e-04, eta: 3 days, 18:13:37, time: 1.367, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2426, s0.loss_cls: 0.1918, s0.acc: 93.4146, s0.loss_bbox: 0.1038, s0.loss_mask: 0.2272, s1.loss_cls: 0.0925, s1.acc: 93.6102, s1.loss_bbox: 0.1071, s1.loss_mask: 0.1058, s2.loss_cls: 0.0459, s2.acc: 93.5602, s2.loss_bbox: 0.0637, s2.loss_mask: 0.0487, loss: 1.2881 2022-09-12 13:06:10,846 - mmdet - INFO - Epoch [4][1450/7330] lr: 1.000e-04, eta: 3 days, 18:12:35, time: 1.360, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2385, s0.loss_cls: 0.1889, s0.acc: 93.5220, s0.loss_bbox: 0.1028, s0.loss_mask: 0.2242, s1.loss_cls: 0.0910, s1.acc: 93.7483, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1052, s2.loss_cls: 0.0456, s2.acc: 93.5938, s2.loss_bbox: 0.0642, s2.loss_mask: 0.0490, loss: 1.2806 2022-09-12 13:07:19,449 - mmdet - INFO - Epoch [4][1500/7330] lr: 1.000e-04, eta: 3 days, 18:11:38, time: 1.372, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0362, loss_semantic_seg: 0.2415, s0.loss_cls: 0.1917, s0.acc: 93.3914, s0.loss_bbox: 0.1077, s0.loss_mask: 0.2267, s1.loss_cls: 0.0902, s1.acc: 93.6576, s1.loss_bbox: 0.1095, s1.loss_mask: 0.1051, s2.loss_cls: 0.0456, s2.acc: 93.5332, s2.loss_bbox: 0.0667, s2.loss_mask: 0.0495, loss: 1.3026 2022-09-12 13:08:28,440 - mmdet - INFO - Epoch [4][1550/7330] lr: 1.000e-04, eta: 3 days, 18:10:45, time: 1.380, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0362, loss_semantic_seg: 0.2435, s0.loss_cls: 0.2000, s0.acc: 93.1958, s0.loss_bbox: 0.1089, s0.loss_mask: 0.2336, s1.loss_cls: 0.0950, s1.acc: 93.5342, s1.loss_bbox: 0.1090, s1.loss_mask: 0.1084, s2.loss_cls: 0.0478, s2.acc: 93.3167, s2.loss_bbox: 0.0658, s2.loss_mask: 0.0504, loss: 1.3307 2022-09-12 13:09:36,530 - mmdet - INFO - Epoch [4][1600/7330] lr: 1.000e-04, eta: 3 days, 18:09:43, time: 1.360, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0363, loss_semantic_seg: 0.2419, s0.loss_cls: 0.1974, s0.acc: 93.2295, s0.loss_bbox: 0.1073, s0.loss_mask: 0.2279, s1.loss_cls: 0.0950, s1.acc: 93.4763, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1047, s2.loss_cls: 0.0469, s2.acc: 93.4122, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0489, loss: 1.3079 2022-09-12 13:10:44,883 - mmdet - INFO - Epoch [4][1650/7330] lr: 1.000e-04, eta: 3 days, 18:08:44, time: 1.368, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0384, loss_semantic_seg: 0.2391, s0.loss_cls: 0.2024, s0.acc: 93.0696, s0.loss_bbox: 0.1118, s0.loss_mask: 0.2305, s1.loss_cls: 0.0953, s1.acc: 93.5218, s1.loss_bbox: 0.1123, s1.loss_mask: 0.1059, s2.loss_cls: 0.0469, s2.acc: 93.4418, s2.loss_bbox: 0.0674, s2.loss_mask: 0.0493, loss: 1.3342 2022-09-12 13:11:53,266 - mmdet - INFO - Epoch [4][1700/7330] lr: 1.000e-04, eta: 3 days, 18:07:45, time: 1.368, data_time: 0.016, memory: 64751, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0380, loss_semantic_seg: 0.2411, s0.loss_cls: 0.1928, s0.acc: 93.3167, s0.loss_bbox: 0.1076, s0.loss_mask: 0.2274, s1.loss_cls: 0.0914, s1.acc: 93.6023, s1.loss_bbox: 0.1111, s1.loss_mask: 0.1055, s2.loss_cls: 0.0454, s2.acc: 93.5401, s2.loss_bbox: 0.0668, s2.loss_mask: 0.0491, loss: 1.3079 2022-09-12 13:13:01,272 - mmdet - INFO - Epoch [4][1750/7330] lr: 1.000e-04, eta: 3 days, 18:06:42, time: 1.359, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0359, loss_semantic_seg: 0.2381, s0.loss_cls: 0.2009, s0.acc: 93.2051, s0.loss_bbox: 0.1073, s0.loss_mask: 0.2347, s1.loss_cls: 0.0960, s1.acc: 93.4518, s1.loss_bbox: 0.1081, s1.loss_mask: 0.1097, s2.loss_cls: 0.0471, s2.acc: 93.4306, s2.loss_bbox: 0.0653, s2.loss_mask: 0.0516, loss: 1.3269 2022-09-12 13:14:08,866 - mmdet - INFO - Epoch [4][1800/7330] lr: 1.000e-04, eta: 3 days, 18:05:35, time: 1.353, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0366, loss_semantic_seg: 0.2497, s0.loss_cls: 0.2039, s0.acc: 93.0520, s0.loss_bbox: 0.1088, s0.loss_mask: 0.2318, s1.loss_cls: 0.0970, s1.acc: 93.3553, s1.loss_bbox: 0.1103, s1.loss_mask: 0.1072, s2.loss_cls: 0.0476, s2.acc: 93.3270, s2.loss_bbox: 0.0661, s2.loss_mask: 0.0496, loss: 1.3433 2022-09-12 13:15:17,026 - mmdet - INFO - Epoch [4][1850/7330] lr: 1.000e-04, eta: 3 days, 18:04:34, time: 1.363, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0376, loss_semantic_seg: 0.2393, s0.loss_cls: 0.1933, s0.acc: 93.3242, s0.loss_bbox: 0.1083, s0.loss_mask: 0.2302, s1.loss_cls: 0.0920, s1.acc: 93.6533, s1.loss_bbox: 0.1104, s1.loss_mask: 0.1077, s2.loss_cls: 0.0461, s2.acc: 93.4222, s2.loss_bbox: 0.0660, s2.loss_mask: 0.0502, loss: 1.3163 2022-09-12 13:16:25,435 - mmdet - INFO - Epoch [4][1900/7330] lr: 1.000e-04, eta: 3 days, 18:03:35, time: 1.368, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0361, loss_semantic_seg: 0.2342, s0.loss_cls: 0.1962, s0.acc: 93.2749, s0.loss_bbox: 0.1065, s0.loss_mask: 0.2301, s1.loss_cls: 0.0944, s1.acc: 93.5530, s1.loss_bbox: 0.1082, s1.loss_mask: 0.1076, s2.loss_cls: 0.0471, s2.acc: 93.4046, s2.loss_bbox: 0.0648, s2.loss_mask: 0.0501, loss: 1.3086 2022-09-12 13:17:34,108 - mmdet - INFO - Epoch [4][1950/7330] lr: 1.000e-04, eta: 3 days, 18:02:39, time: 1.374, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0384, loss_semantic_seg: 0.2456, s0.loss_cls: 0.2039, s0.acc: 92.9485, s0.loss_bbox: 0.1137, s0.loss_mask: 0.2371, s1.loss_cls: 0.0979, s1.acc: 93.2473, s1.loss_bbox: 0.1136, s1.loss_mask: 0.1094, s2.loss_cls: 0.0482, s2.acc: 93.2916, s2.loss_bbox: 0.0661, s2.loss_mask: 0.0509, loss: 1.3591 2022-09-12 13:18:41,367 - mmdet - INFO - Epoch [4][2000/7330] lr: 1.000e-04, eta: 3 days, 18:01:28, time: 1.344, data_time: 0.016, memory: 64751, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0350, loss_semantic_seg: 0.2434, s0.loss_cls: 0.1970, s0.acc: 93.3213, s0.loss_bbox: 0.1063, s0.loss_mask: 0.2300, s1.loss_cls: 0.0931, s1.acc: 93.7248, s1.loss_bbox: 0.1081, s1.loss_mask: 0.1068, s2.loss_cls: 0.0464, s2.acc: 93.5511, s2.loss_bbox: 0.0652, s2.loss_mask: 0.0495, loss: 1.3110 2022-09-12 13:19:49,242 - mmdet - INFO - Epoch [4][2050/7330] lr: 1.000e-04, eta: 3 days, 18:00:24, time: 1.359, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0357, loss_semantic_seg: 0.2416, s0.loss_cls: 0.1819, s0.acc: 93.7810, s0.loss_bbox: 0.1010, s0.loss_mask: 0.2302, s1.loss_cls: 0.0874, s1.acc: 94.0325, s1.loss_bbox: 0.1021, s1.loss_mask: 0.1068, s2.loss_cls: 0.0436, s2.acc: 94.0207, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0496, loss: 1.2768 2022-09-12 13:20:58,325 - mmdet - INFO - Epoch [4][2100/7330] lr: 1.000e-04, eta: 3 days, 17:59:31, time: 1.381, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0365, loss_semantic_seg: 0.2387, s0.loss_cls: 0.1995, s0.acc: 93.1995, s0.loss_bbox: 0.1072, s0.loss_mask: 0.2276, s1.loss_cls: 0.0938, s1.acc: 93.5482, s1.loss_bbox: 0.1100, s1.loss_mask: 0.1053, s2.loss_cls: 0.0469, s2.acc: 93.5080, s2.loss_bbox: 0.0667, s2.loss_mask: 0.0491, loss: 1.3142 2022-09-12 13:22:05,247 - mmdet - INFO - Epoch [4][2150/7330] lr: 1.000e-04, eta: 3 days, 17:58:17, time: 1.338, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0367, loss_semantic_seg: 0.2444, s0.loss_cls: 0.1989, s0.acc: 93.2849, s0.loss_bbox: 0.1053, s0.loss_mask: 0.2298, s1.loss_cls: 0.0955, s1.acc: 93.5329, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1063, s2.loss_cls: 0.0476, s2.acc: 93.4685, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0497, loss: 1.3163 2022-09-12 13:23:12,444 - mmdet - INFO - Epoch [4][2200/7330] lr: 1.000e-04, eta: 3 days, 17:57:07, time: 1.345, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0357, loss_semantic_seg: 0.2340, s0.loss_cls: 0.2058, s0.acc: 93.1375, s0.loss_bbox: 0.1102, s0.loss_mask: 0.2301, s1.loss_cls: 0.0965, s1.acc: 93.5252, s1.loss_bbox: 0.1098, s1.loss_mask: 0.1062, s2.loss_cls: 0.0473, s2.acc: 93.3361, s2.loss_bbox: 0.0670, s2.loss_mask: 0.0498, loss: 1.3260 2022-09-12 13:24:19,764 - mmdet - INFO - Epoch [4][2250/7330] lr: 1.000e-04, eta: 3 days, 17:55:57, time: 1.346, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0359, loss_semantic_seg: 0.2402, s0.loss_cls: 0.2027, s0.acc: 93.0669, s0.loss_bbox: 0.1098, s0.loss_mask: 0.2274, s1.loss_cls: 0.0961, s1.acc: 93.2945, s1.loss_bbox: 0.1098, s1.loss_mask: 0.1065, s2.loss_cls: 0.0477, s2.acc: 93.2612, s2.loss_bbox: 0.0653, s2.loss_mask: 0.0500, loss: 1.3234 2022-09-12 13:25:27,202 - mmdet - INFO - Epoch [4][2300/7330] lr: 1.000e-04, eta: 3 days, 17:54:48, time: 1.349, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0356, loss_semantic_seg: 0.2367, s0.loss_cls: 0.1972, s0.acc: 93.2881, s0.loss_bbox: 0.1076, s0.loss_mask: 0.2283, s1.loss_cls: 0.0937, s1.acc: 93.5441, s1.loss_bbox: 0.1092, s1.loss_mask: 0.1052, s2.loss_cls: 0.0466, s2.acc: 93.4412, s2.loss_bbox: 0.0659, s2.loss_mask: 0.0491, loss: 1.3073 2022-09-12 13:26:35,099 - mmdet - INFO - Epoch [4][2350/7330] lr: 1.000e-04, eta: 3 days, 17:53:44, time: 1.358, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2345, s0.loss_cls: 0.1978, s0.acc: 93.2820, s0.loss_bbox: 0.1031, s0.loss_mask: 0.2267, s1.loss_cls: 0.0945, s1.acc: 93.5339, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1050, s2.loss_cls: 0.0471, s2.acc: 93.4513, s2.loss_bbox: 0.0633, s2.loss_mask: 0.0484, loss: 1.2913 2022-09-12 13:27:43,211 - mmdet - INFO - Epoch [4][2400/7330] lr: 1.000e-04, eta: 3 days, 17:52:42, time: 1.362, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0375, loss_semantic_seg: 0.2304, s0.loss_cls: 0.1986, s0.acc: 93.1418, s0.loss_bbox: 0.1056, s0.loss_mask: 0.2211, s1.loss_cls: 0.0953, s1.acc: 93.4442, s1.loss_bbox: 0.1070, s1.loss_mask: 0.1028, s2.loss_cls: 0.0470, s2.acc: 93.3191, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0480, loss: 1.2936 2022-09-12 13:28:51,313 - mmdet - INFO - Epoch [4][2450/7330] lr: 1.000e-04, eta: 3 days, 17:51:39, time: 1.361, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0369, loss_semantic_seg: 0.2394, s0.loss_cls: 0.1990, s0.acc: 93.2207, s0.loss_bbox: 0.1116, s0.loss_mask: 0.2299, s1.loss_cls: 0.0946, s1.acc: 93.4536, s1.loss_bbox: 0.1155, s1.loss_mask: 0.1064, s2.loss_cls: 0.0473, s2.acc: 93.3664, s2.loss_bbox: 0.0695, s2.loss_mask: 0.0494, loss: 1.3310 2022-09-12 13:29:58,281 - mmdet - INFO - Epoch [4][2500/7330] lr: 1.000e-04, eta: 3 days, 17:50:27, time: 1.341, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2313, s0.loss_cls: 0.1999, s0.acc: 93.2371, s0.loss_bbox: 0.1066, s0.loss_mask: 0.2305, s1.loss_cls: 0.0953, s1.acc: 93.5574, s1.loss_bbox: 0.1067, s1.loss_mask: 0.1063, s2.loss_cls: 0.0469, s2.acc: 93.5934, s2.loss_bbox: 0.0632, s2.loss_mask: 0.0493, loss: 1.3050 2022-09-12 13:31:06,291 - mmdet - INFO - Epoch [4][2550/7330] lr: 1.000e-04, eta: 3 days, 17:49:24, time: 1.360, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0332, loss_semantic_seg: 0.2415, s0.loss_cls: 0.1892, s0.acc: 93.4888, s0.loss_bbox: 0.1053, s0.loss_mask: 0.2285, s1.loss_cls: 0.0907, s1.acc: 93.7924, s1.loss_bbox: 0.1079, s1.loss_mask: 0.1057, s2.loss_cls: 0.0456, s2.acc: 93.5633, s2.loss_bbox: 0.0652, s2.loss_mask: 0.0493, loss: 1.2916 2022-09-12 13:32:14,094 - mmdet - INFO - Epoch [4][2600/7330] lr: 1.000e-04, eta: 3 days, 17:48:18, time: 1.356, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0373, loss_semantic_seg: 0.2468, s0.loss_cls: 0.1962, s0.acc: 93.2686, s0.loss_bbox: 0.1085, s0.loss_mask: 0.2353, s1.loss_cls: 0.0927, s1.acc: 93.6609, s1.loss_bbox: 0.1095, s1.loss_mask: 0.1085, s2.loss_cls: 0.0464, s2.acc: 93.5511, s2.loss_bbox: 0.0651, s2.loss_mask: 0.0505, loss: 1.3313 2022-09-12 13:33:22,414 - mmdet - INFO - Epoch [4][2650/7330] lr: 1.000e-04, eta: 3 days, 17:47:18, time: 1.366, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0357, loss_semantic_seg: 0.2353, s0.loss_cls: 0.1960, s0.acc: 93.2603, s0.loss_bbox: 0.1069, s0.loss_mask: 0.2324, s1.loss_cls: 0.0926, s1.acc: 93.5741, s1.loss_bbox: 0.1083, s1.loss_mask: 0.1071, s2.loss_cls: 0.0462, s2.acc: 93.4060, s2.loss_bbox: 0.0648, s2.loss_mask: 0.0494, loss: 1.3051 2022-09-12 13:34:30,347 - mmdet - INFO - Epoch [4][2700/7330] lr: 1.000e-04, eta: 3 days, 17:46:14, time: 1.359, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0331, loss_semantic_seg: 0.2447, s0.loss_cls: 0.2062, s0.acc: 93.1931, s0.loss_bbox: 0.1063, s0.loss_mask: 0.2273, s1.loss_cls: 0.0986, s1.acc: 93.5050, s1.loss_bbox: 0.1073, s1.loss_mask: 0.1049, s2.loss_cls: 0.0486, s2.acc: 93.4083, s2.loss_bbox: 0.0651, s2.loss_mask: 0.0491, loss: 1.3234 2022-09-12 13:35:38,585 - mmdet - INFO - Epoch [4][2750/7330] lr: 1.000e-04, eta: 3 days, 17:45:13, time: 1.365, data_time: 0.016, memory: 64751, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2306, s0.loss_cls: 0.1817, s0.acc: 93.7327, s0.loss_bbox: 0.0990, s0.loss_mask: 0.2231, s1.loss_cls: 0.0866, s1.acc: 94.0712, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1036, s2.loss_cls: 0.0436, s2.acc: 93.8530, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0484, loss: 1.2419 2022-09-12 13:36:46,184 - mmdet - INFO - Epoch [4][2800/7330] lr: 1.000e-04, eta: 3 days, 17:44:06, time: 1.352, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0346, loss_semantic_seg: 0.2422, s0.loss_cls: 0.1935, s0.acc: 93.3730, s0.loss_bbox: 0.1061, s0.loss_mask: 0.2308, s1.loss_cls: 0.0920, s1.acc: 93.6618, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1070, s2.loss_cls: 0.0458, s2.acc: 93.5833, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0498, loss: 1.3022 2022-09-12 13:37:52,776 - mmdet - INFO - Epoch [4][2850/7330] lr: 1.000e-04, eta: 3 days, 17:42:49, time: 1.332, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0358, loss_semantic_seg: 0.2355, s0.loss_cls: 0.1777, s0.acc: 93.8306, s0.loss_bbox: 0.0990, s0.loss_mask: 0.2239, s1.loss_cls: 0.0856, s1.acc: 94.0250, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1047, s2.loss_cls: 0.0429, s2.acc: 93.9525, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0492, loss: 1.2495 2022-09-12 13:39:00,711 - mmdet - INFO - Epoch [4][2900/7330] lr: 1.000e-04, eta: 3 days, 17:41:46, time: 1.359, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0366, loss_semantic_seg: 0.2460, s0.loss_cls: 0.1929, s0.acc: 93.4753, s0.loss_bbox: 0.1068, s0.loss_mask: 0.2298, s1.loss_cls: 0.0926, s1.acc: 93.7534, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1062, s2.loss_cls: 0.0459, s2.acc: 93.6346, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0496, loss: 1.3128 2022-09-12 13:40:08,981 - mmdet - INFO - Epoch [4][2950/7330] lr: 1.000e-04, eta: 3 days, 17:40:45, time: 1.365, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0364, loss_semantic_seg: 0.2428, s0.loss_cls: 0.1846, s0.acc: 93.6113, s0.loss_bbox: 0.1008, s0.loss_mask: 0.2221, s1.loss_cls: 0.0882, s1.acc: 93.9477, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1029, s2.loss_cls: 0.0443, s2.acc: 93.8097, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0486, loss: 1.2684 2022-09-12 13:41:16,910 - mmdet - INFO - Epoch [4][3000/7330] lr: 1.000e-04, eta: 3 days, 17:39:40, time: 1.357, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0344, loss_semantic_seg: 0.2332, s0.loss_cls: 0.1869, s0.acc: 93.4873, s0.loss_bbox: 0.1034, s0.loss_mask: 0.2255, s1.loss_cls: 0.0896, s1.acc: 93.7654, s1.loss_bbox: 0.1080, s1.loss_mask: 0.1056, s2.loss_cls: 0.0454, s2.acc: 93.5273, s2.loss_bbox: 0.0661, s2.loss_mask: 0.0491, loss: 1.2780 2022-09-12 13:42:24,665 - mmdet - INFO - Epoch [4][3050/7330] lr: 1.000e-04, eta: 3 days, 17:38:35, time: 1.356, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0360, loss_semantic_seg: 0.2361, s0.loss_cls: 0.1901, s0.acc: 93.3755, s0.loss_bbox: 0.1022, s0.loss_mask: 0.2209, s1.loss_cls: 0.0917, s1.acc: 93.6383, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1031, s2.loss_cls: 0.0462, s2.acc: 93.4545, s2.loss_bbox: 0.0649, s2.loss_mask: 0.0484, loss: 1.2765 2022-09-12 13:43:32,201 - mmdet - INFO - Epoch [4][3100/7330] lr: 1.000e-04, eta: 3 days, 17:37:27, time: 1.351, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2463, s0.loss_cls: 0.1856, s0.acc: 93.8528, s0.loss_bbox: 0.0977, s0.loss_mask: 0.2206, s1.loss_cls: 0.0881, s1.acc: 94.1774, s1.loss_bbox: 0.1017, s1.loss_mask: 0.1025, s2.loss_cls: 0.0441, s2.acc: 93.9783, s2.loss_bbox: 0.0622, s2.loss_mask: 0.0480, loss: 1.2596 2022-09-12 13:44:40,245 - mmdet - INFO - Epoch [4][3150/7330] lr: 1.000e-04, eta: 3 days, 17:36:24, time: 1.360, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0346, loss_semantic_seg: 0.2414, s0.loss_cls: 0.2007, s0.acc: 93.1650, s0.loss_bbox: 0.1074, s0.loss_mask: 0.2294, s1.loss_cls: 0.0945, s1.acc: 93.4494, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1058, s2.loss_cls: 0.0477, s2.acc: 93.2166, s2.loss_bbox: 0.0648, s2.loss_mask: 0.0489, loss: 1.3152 2022-09-12 13:45:47,931 - mmdet - INFO - Epoch [4][3200/7330] lr: 1.000e-04, eta: 3 days, 17:35:18, time: 1.354, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0350, loss_semantic_seg: 0.2331, s0.loss_cls: 0.1940, s0.acc: 93.3599, s0.loss_bbox: 0.1038, s0.loss_mask: 0.2248, s1.loss_cls: 0.0931, s1.acc: 93.6045, s1.loss_bbox: 0.1063, s1.loss_mask: 0.1052, s2.loss_cls: 0.0462, s2.acc: 93.4415, s2.loss_bbox: 0.0633, s2.loss_mask: 0.0491, loss: 1.2859 2022-09-12 13:46:55,531 - mmdet - INFO - Epoch [4][3250/7330] lr: 1.000e-04, eta: 3 days, 17:34:11, time: 1.352, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0336, loss_semantic_seg: 0.2323, s0.loss_cls: 0.1895, s0.acc: 93.4819, s0.loss_bbox: 0.1068, s0.loss_mask: 0.2307, s1.loss_cls: 0.0905, s1.acc: 93.7479, s1.loss_bbox: 0.1099, s1.loss_mask: 0.1077, s2.loss_cls: 0.0451, s2.acc: 93.6292, s2.loss_bbox: 0.0669, s2.loss_mask: 0.0502, loss: 1.2935 2022-09-12 13:48:03,896 - mmdet - INFO - Epoch [4][3300/7330] lr: 1.000e-04, eta: 3 days, 17:33:11, time: 1.367, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0365, loss_semantic_seg: 0.2382, s0.loss_cls: 0.2025, s0.acc: 93.0793, s0.loss_bbox: 0.1122, s0.loss_mask: 0.2353, s1.loss_cls: 0.0977, s1.acc: 93.1574, s1.loss_bbox: 0.1148, s1.loss_mask: 0.1090, s2.loss_cls: 0.0482, s2.acc: 93.1972, s2.loss_bbox: 0.0676, s2.loss_mask: 0.0507, loss: 1.3457 2022-09-12 13:49:12,021 - mmdet - INFO - Epoch [4][3350/7330] lr: 1.000e-04, eta: 3 days, 17:32:09, time: 1.363, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0369, loss_semantic_seg: 0.2238, s0.loss_cls: 0.1940, s0.acc: 93.2966, s0.loss_bbox: 0.1061, s0.loss_mask: 0.2242, s1.loss_cls: 0.0927, s1.acc: 93.5792, s1.loss_bbox: 0.1081, s1.loss_mask: 0.1040, s2.loss_cls: 0.0460, s2.acc: 93.4942, s2.loss_bbox: 0.0644, s2.loss_mask: 0.0487, loss: 1.2820 2022-09-12 13:50:20,237 - mmdet - INFO - Epoch [4][3400/7330] lr: 1.000e-04, eta: 3 days, 17:31:07, time: 1.364, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0378, loss_semantic_seg: 0.2402, s0.loss_cls: 0.2045, s0.acc: 92.9915, s0.loss_bbox: 0.1063, s0.loss_mask: 0.2304, s1.loss_cls: 0.0966, s1.acc: 93.3600, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1066, s2.loss_cls: 0.0473, s2.acc: 93.2700, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0495, loss: 1.3211 2022-09-12 13:51:28,040 - mmdet - INFO - Epoch [4][3450/7330] lr: 1.000e-04, eta: 3 days, 17:30:02, time: 1.356, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0337, loss_semantic_seg: 0.2338, s0.loss_cls: 0.1921, s0.acc: 93.5134, s0.loss_bbox: 0.1007, s0.loss_mask: 0.2279, s1.loss_cls: 0.0931, s1.acc: 93.6934, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1052, s2.loss_cls: 0.0457, s2.acc: 93.6783, s2.loss_bbox: 0.0625, s2.loss_mask: 0.0493, loss: 1.2764 2022-09-12 13:52:35,733 - mmdet - INFO - Epoch [4][3500/7330] lr: 1.000e-04, eta: 3 days, 17:28:55, time: 1.354, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0362, loss_semantic_seg: 0.2304, s0.loss_cls: 0.2017, s0.acc: 93.2095, s0.loss_bbox: 0.1096, s0.loss_mask: 0.2317, s1.loss_cls: 0.0950, s1.acc: 93.5779, s1.loss_bbox: 0.1100, s1.loss_mask: 0.1081, s2.loss_cls: 0.0472, s2.acc: 93.5510, s2.loss_bbox: 0.0660, s2.loss_mask: 0.0500, loss: 1.3195 2022-09-12 13:53:43,004 - mmdet - INFO - Epoch [4][3550/7330] lr: 1.000e-04, eta: 3 days, 17:27:45, time: 1.345, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0350, loss_semantic_seg: 0.2386, s0.loss_cls: 0.1930, s0.acc: 93.4670, s0.loss_bbox: 0.1039, s0.loss_mask: 0.2273, s1.loss_cls: 0.0912, s1.acc: 93.7215, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1060, s2.loss_cls: 0.0452, s2.acc: 93.6025, s2.loss_bbox: 0.0653, s2.loss_mask: 0.0494, loss: 1.2931 2022-09-12 13:54:51,360 - mmdet - INFO - Epoch [4][3600/7330] lr: 1.000e-04, eta: 3 days, 17:26:44, time: 1.365, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2314, s0.loss_cls: 0.1939, s0.acc: 93.4585, s0.loss_bbox: 0.1029, s0.loss_mask: 0.2271, s1.loss_cls: 0.0927, s1.acc: 93.7286, s1.loss_bbox: 0.1052, s1.loss_mask: 0.1059, s2.loss_cls: 0.0464, s2.acc: 93.5401, s2.loss_bbox: 0.0625, s2.loss_mask: 0.0493, loss: 1.2844 2022-09-12 13:55:59,204 - mmdet - INFO - Epoch [4][3650/7330] lr: 1.000e-04, eta: 3 days, 17:25:40, time: 1.359, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0361, loss_semantic_seg: 0.2355, s0.loss_cls: 0.1864, s0.acc: 93.6921, s0.loss_bbox: 0.1007, s0.loss_mask: 0.2273, s1.loss_cls: 0.0904, s1.acc: 93.8633, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1050, s2.loss_cls: 0.0449, s2.acc: 93.7236, s2.loss_bbox: 0.0636, s2.loss_mask: 0.0494, loss: 1.2734 2022-09-12 13:57:05,702 - mmdet - INFO - Epoch [4][3700/7330] lr: 1.000e-04, eta: 3 days, 17:24:22, time: 1.330, data_time: 0.014, memory: 64751, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0358, loss_semantic_seg: 0.2442, s0.loss_cls: 0.1997, s0.acc: 93.2007, s0.loss_bbox: 0.1066, s0.loss_mask: 0.2264, s1.loss_cls: 0.0966, s1.acc: 93.3924, s1.loss_bbox: 0.1087, s1.loss_mask: 0.1041, s2.loss_cls: 0.0481, s2.acc: 93.3655, s2.loss_bbox: 0.0651, s2.loss_mask: 0.0478, loss: 1.3152 2022-09-12 13:58:14,277 - mmdet - INFO - Epoch [4][3750/7330] lr: 1.000e-04, eta: 3 days, 17:23:24, time: 1.371, data_time: 0.015, memory: 64751, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0373, loss_semantic_seg: 0.2334, s0.loss_cls: 0.1909, s0.acc: 93.3315, s0.loss_bbox: 0.1108, s0.loss_mask: 0.2299, s1.loss_cls: 0.0919, s1.acc: 93.6183, s1.loss_bbox: 0.1110, s1.loss_mask: 0.1065, s2.loss_cls: 0.0455, s2.acc: 93.4304, s2.loss_bbox: 0.0667, s2.loss_mask: 0.0497, loss: 1.3073 2022-09-12 13:59:21,764 - mmdet - INFO - Epoch [4][3800/7330] lr: 1.000e-04, eta: 3 days, 17:22:16, time: 1.350, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0350, loss_semantic_seg: 0.2362, s0.loss_cls: 0.1951, s0.acc: 93.2439, s0.loss_bbox: 0.1094, s0.loss_mask: 0.2281, s1.loss_cls: 0.0941, s1.acc: 93.3775, s1.loss_bbox: 0.1105, s1.loss_mask: 0.1056, s2.loss_cls: 0.0465, s2.acc: 93.2973, s2.loss_bbox: 0.0658, s2.loss_mask: 0.0494, loss: 1.3073 2022-09-12 14:00:29,960 - mmdet - INFO - Epoch [4][3850/7330] lr: 1.000e-04, eta: 3 days, 17:21:14, time: 1.364, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0353, loss_semantic_seg: 0.2238, s0.loss_cls: 0.1892, s0.acc: 93.4573, s0.loss_bbox: 0.1053, s0.loss_mask: 0.2275, s1.loss_cls: 0.0888, s1.acc: 93.8247, s1.loss_bbox: 0.1077, s1.loss_mask: 0.1052, s2.loss_cls: 0.0441, s2.acc: 93.7672, s2.loss_bbox: 0.0649, s2.loss_mask: 0.0492, loss: 1.2723 2022-09-12 14:01:37,915 - mmdet - INFO - Epoch [4][3900/7330] lr: 1.000e-04, eta: 3 days, 17:20:10, time: 1.359, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0359, loss_semantic_seg: 0.2421, s0.loss_cls: 0.1975, s0.acc: 93.1587, s0.loss_bbox: 0.1094, s0.loss_mask: 0.2303, s1.loss_cls: 0.0955, s1.acc: 93.4240, s1.loss_bbox: 0.1120, s1.loss_mask: 0.1075, s2.loss_cls: 0.0473, s2.acc: 93.2189, s2.loss_bbox: 0.0669, s2.loss_mask: 0.0501, loss: 1.3263 2022-09-12 14:02:45,238 - mmdet - INFO - Epoch [4][3950/7330] lr: 1.000e-04, eta: 3 days, 17:19:00, time: 1.345, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0348, loss_semantic_seg: 0.2367, s0.loss_cls: 0.1954, s0.acc: 93.3152, s0.loss_bbox: 0.1087, s0.loss_mask: 0.2317, s1.loss_cls: 0.0937, s1.acc: 93.5190, s1.loss_bbox: 0.1082, s1.loss_mask: 0.1074, s2.loss_cls: 0.0466, s2.acc: 93.4853, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0502, loss: 1.3106 2022-09-12 14:03:53,100 - mmdet - INFO - Epoch [4][4000/7330] lr: 1.000e-04, eta: 3 days, 17:17:55, time: 1.359, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0373, loss_semantic_seg: 0.2309, s0.loss_cls: 0.1925, s0.acc: 93.4761, s0.loss_bbox: 0.1036, s0.loss_mask: 0.2227, s1.loss_cls: 0.0919, s1.acc: 93.6435, s1.loss_bbox: 0.1060, s1.loss_mask: 0.1028, s2.loss_cls: 0.0459, s2.acc: 93.6223, s2.loss_bbox: 0.0636, s2.loss_mask: 0.0479, loss: 1.2780 2022-09-12 14:05:01,667 - mmdet - INFO - Epoch [4][4050/7330] lr: 1.000e-04, eta: 3 days, 17:16:57, time: 1.371, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0344, loss_semantic_seg: 0.2403, s0.loss_cls: 0.1838, s0.acc: 93.6626, s0.loss_bbox: 0.1006, s0.loss_mask: 0.2209, s1.loss_cls: 0.0863, s1.acc: 93.9346, s1.loss_bbox: 0.1042, s1.loss_mask: 0.1026, s2.loss_cls: 0.0434, s2.acc: 93.8470, s2.loss_bbox: 0.0631, s2.loss_mask: 0.0482, loss: 1.2585 2022-09-12 14:06:09,093 - mmdet - INFO - Epoch [4][4100/7330] lr: 1.000e-04, eta: 3 days, 17:15:48, time: 1.348, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0353, loss_semantic_seg: 0.2347, s0.loss_cls: 0.1930, s0.acc: 93.4175, s0.loss_bbox: 0.1018, s0.loss_mask: 0.2262, s1.loss_cls: 0.0934, s1.acc: 93.5642, s1.loss_bbox: 0.1054, s1.loss_mask: 0.1055, s2.loss_cls: 0.0466, s2.acc: 93.4461, s2.loss_bbox: 0.0644, s2.loss_mask: 0.0487, loss: 1.2888 2022-09-12 14:07:17,792 - mmdet - INFO - Epoch [4][4150/7330] lr: 1.000e-04, eta: 3 days, 17:14:51, time: 1.374, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0354, loss_semantic_seg: 0.2273, s0.loss_cls: 0.1878, s0.acc: 93.5718, s0.loss_bbox: 0.1038, s0.loss_mask: 0.2344, s1.loss_cls: 0.0896, s1.acc: 93.8917, s1.loss_bbox: 0.1073, s1.loss_mask: 0.1086, s2.loss_cls: 0.0452, s2.acc: 93.7239, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0504, loss: 1.2846 2022-09-12 14:08:25,179 - mmdet - INFO - Epoch [4][4200/7330] lr: 1.000e-04, eta: 3 days, 17:13:42, time: 1.348, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0357, loss_semantic_seg: 0.2379, s0.loss_cls: 0.1908, s0.acc: 93.4072, s0.loss_bbox: 0.1048, s0.loss_mask: 0.2255, s1.loss_cls: 0.0912, s1.acc: 93.6982, s1.loss_bbox: 0.1069, s1.loss_mask: 0.1049, s2.loss_cls: 0.0452, s2.acc: 93.5325, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0493, loss: 1.2860 2022-09-12 14:09:32,629 - mmdet - INFO - Epoch [4][4250/7330] lr: 1.000e-04, eta: 3 days, 17:12:33, time: 1.348, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0352, loss_semantic_seg: 0.2370, s0.loss_cls: 0.1949, s0.acc: 93.3784, s0.loss_bbox: 0.1036, s0.loss_mask: 0.2237, s1.loss_cls: 0.0943, s1.acc: 93.6137, s1.loss_bbox: 0.1059, s1.loss_mask: 0.1032, s2.loss_cls: 0.0472, s2.acc: 93.3758, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0486, loss: 1.2895 2022-09-12 14:10:40,502 - mmdet - INFO - Epoch [4][4300/7330] lr: 1.000e-04, eta: 3 days, 17:11:28, time: 1.358, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0359, loss_semantic_seg: 0.2291, s0.loss_cls: 0.1900, s0.acc: 93.4939, s0.loss_bbox: 0.1072, s0.loss_mask: 0.2262, s1.loss_cls: 0.0909, s1.acc: 93.7413, s1.loss_bbox: 0.1069, s1.loss_mask: 0.1048, s2.loss_cls: 0.0445, s2.acc: 93.7446, s2.loss_bbox: 0.0639, s2.loss_mask: 0.0488, loss: 1.2811 2022-09-12 14:11:48,313 - mmdet - INFO - Epoch [4][4350/7330] lr: 1.000e-04, eta: 3 days, 17:10:23, time: 1.356, data_time: 0.016, memory: 64751, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0341, loss_semantic_seg: 0.2358, s0.loss_cls: 0.1857, s0.acc: 93.5522, s0.loss_bbox: 0.1039, s0.loss_mask: 0.2267, s1.loss_cls: 0.0900, s1.acc: 93.7168, s1.loss_bbox: 0.1079, s1.loss_mask: 0.1061, s2.loss_cls: 0.0453, s2.acc: 93.4805, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0496, loss: 1.2788 2022-09-12 14:12:56,393 - mmdet - INFO - Epoch [4][4400/7330] lr: 1.000e-04, eta: 3 days, 17:09:19, time: 1.359, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0370, loss_semantic_seg: 0.2333, s0.loss_cls: 0.1895, s0.acc: 93.5085, s0.loss_bbox: 0.1018, s0.loss_mask: 0.2219, s1.loss_cls: 0.0900, s1.acc: 93.8899, s1.loss_bbox: 0.1052, s1.loss_mask: 0.1037, s2.loss_cls: 0.0450, s2.acc: 93.7082, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0483, loss: 1.2741 2022-09-12 14:14:04,272 - mmdet - INFO - Epoch [4][4450/7330] lr: 1.000e-04, eta: 3 days, 17:08:15, time: 1.360, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0353, loss_semantic_seg: 0.2357, s0.loss_cls: 0.1959, s0.acc: 93.3633, s0.loss_bbox: 0.1036, s0.loss_mask: 0.2263, s1.loss_cls: 0.0919, s1.acc: 93.7165, s1.loss_bbox: 0.1062, s1.loss_mask: 0.1057, s2.loss_cls: 0.0467, s2.acc: 93.4914, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0493, loss: 1.2914 2022-09-12 14:15:11,834 - mmdet - INFO - Epoch [4][4500/7330] lr: 1.000e-04, eta: 3 days, 17:07:07, time: 1.351, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0351, loss_semantic_seg: 0.2304, s0.loss_cls: 0.1950, s0.acc: 93.1965, s0.loss_bbox: 0.1050, s0.loss_mask: 0.2302, s1.loss_cls: 0.0957, s1.acc: 93.3958, s1.loss_bbox: 0.1078, s1.loss_mask: 0.1069, s2.loss_cls: 0.0477, s2.acc: 93.2199, s2.loss_bbox: 0.0655, s2.loss_mask: 0.0506, loss: 1.3010 2022-09-12 14:16:20,043 - mmdet - INFO - Epoch [4][4550/7330] lr: 1.000e-04, eta: 3 days, 17:06:05, time: 1.364, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0373, loss_semantic_seg: 0.2366, s0.loss_cls: 0.1965, s0.acc: 93.3730, s0.loss_bbox: 0.1041, s0.loss_mask: 0.2319, s1.loss_cls: 0.0946, s1.acc: 93.6283, s1.loss_bbox: 0.1051, s1.loss_mask: 0.1066, s2.loss_cls: 0.0474, s2.acc: 93.4800, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0495, loss: 1.3064 2022-09-12 14:17:27,787 - mmdet - INFO - Epoch [4][4600/7330] lr: 1.000e-04, eta: 3 days, 17:04:59, time: 1.355, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2427, s0.loss_cls: 0.1826, s0.acc: 93.8347, s0.loss_bbox: 0.0974, s0.loss_mask: 0.2187, s1.loss_cls: 0.0881, s1.acc: 93.9387, s1.loss_bbox: 0.0995, s1.loss_mask: 0.1011, s2.loss_cls: 0.0443, s2.acc: 93.7671, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0470, loss: 1.2425 2022-09-12 14:18:35,989 - mmdet - INFO - Epoch [4][4650/7330] lr: 1.000e-04, eta: 3 days, 17:03:56, time: 1.363, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0332, loss_semantic_seg: 0.2328, s0.loss_cls: 0.1843, s0.acc: 93.5640, s0.loss_bbox: 0.1058, s0.loss_mask: 0.2268, s1.loss_cls: 0.0881, s1.acc: 93.8068, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1053, s2.loss_cls: 0.0443, s2.acc: 93.6469, s2.loss_bbox: 0.0638, s2.loss_mask: 0.0495, loss: 1.2690 2022-09-12 14:19:43,741 - mmdet - INFO - Epoch [4][4700/7330] lr: 1.000e-04, eta: 3 days, 17:02:51, time: 1.357, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0359, loss_semantic_seg: 0.2403, s0.loss_cls: 0.1933, s0.acc: 93.5540, s0.loss_bbox: 0.0998, s0.loss_mask: 0.2211, s1.loss_cls: 0.0923, s1.acc: 93.8407, s1.loss_bbox: 0.1016, s1.loss_mask: 0.1025, s2.loss_cls: 0.0455, s2.acc: 93.7401, s2.loss_bbox: 0.0628, s2.loss_mask: 0.0482, loss: 1.2727 2022-09-12 14:20:52,049 - mmdet - INFO - Epoch [4][4750/7330] lr: 1.000e-04, eta: 3 days, 17:01:50, time: 1.366, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0351, loss_semantic_seg: 0.2400, s0.loss_cls: 0.1916, s0.acc: 93.3054, s0.loss_bbox: 0.1075, s0.loss_mask: 0.2295, s1.loss_cls: 0.0910, s1.acc: 93.6913, s1.loss_bbox: 0.1087, s1.loss_mask: 0.1072, s2.loss_cls: 0.0458, s2.acc: 93.5429, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0504, loss: 1.3019 2022-09-12 14:22:00,145 - mmdet - INFO - Epoch [4][4800/7330] lr: 1.000e-04, eta: 3 days, 17:00:47, time: 1.362, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2527, s0.loss_cls: 0.1904, s0.acc: 93.5640, s0.loss_bbox: 0.1019, s0.loss_mask: 0.2194, s1.loss_cls: 0.0891, s1.acc: 93.9023, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1020, s2.loss_cls: 0.0436, s2.acc: 93.9025, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0479, loss: 1.2754 2022-09-12 14:23:07,909 - mmdet - INFO - Epoch [4][4850/7330] lr: 1.000e-04, eta: 3 days, 16:59:41, time: 1.355, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2394, s0.loss_cls: 0.1882, s0.acc: 93.5481, s0.loss_bbox: 0.1017, s0.loss_mask: 0.2260, s1.loss_cls: 0.0904, s1.acc: 93.8084, s1.loss_bbox: 0.1076, s1.loss_mask: 0.1061, s2.loss_cls: 0.0451, s2.acc: 93.5903, s2.loss_bbox: 0.0651, s2.loss_mask: 0.0498, loss: 1.2816 2022-09-12 14:24:15,520 - mmdet - INFO - Epoch [4][4900/7330] lr: 1.000e-04, eta: 3 days, 16:58:34, time: 1.353, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0353, loss_semantic_seg: 0.2360, s0.loss_cls: 0.1940, s0.acc: 93.3811, s0.loss_bbox: 0.1017, s0.loss_mask: 0.2194, s1.loss_cls: 0.0925, s1.acc: 93.7078, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1021, s2.loss_cls: 0.0455, s2.acc: 93.6663, s2.loss_bbox: 0.0638, s2.loss_mask: 0.0478, loss: 1.2730 2022-09-12 14:25:24,080 - mmdet - INFO - Epoch [4][4950/7330] lr: 1.000e-04, eta: 3 days, 16:57:35, time: 1.371, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0352, loss_semantic_seg: 0.2373, s0.loss_cls: 0.2046, s0.acc: 93.0239, s0.loss_bbox: 0.1099, s0.loss_mask: 0.2323, s1.loss_cls: 0.0970, s1.acc: 93.3300, s1.loss_bbox: 0.1117, s1.loss_mask: 0.1077, s2.loss_cls: 0.0483, s2.acc: 93.2482, s2.loss_bbox: 0.0666, s2.loss_mask: 0.0498, loss: 1.3322 2022-09-12 14:26:32,287 - mmdet - INFO - Epoch [4][5000/7330] lr: 1.000e-04, eta: 3 days, 16:56:32, time: 1.363, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2296, s0.loss_cls: 0.1834, s0.acc: 93.6196, s0.loss_bbox: 0.1022, s0.loss_mask: 0.2210, s1.loss_cls: 0.0873, s1.acc: 93.8649, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1027, s2.loss_cls: 0.0436, s2.acc: 93.7607, s2.loss_bbox: 0.0641, s2.loss_mask: 0.0485, loss: 1.2478 2022-09-12 14:27:40,640 - mmdet - INFO - Epoch [4][5050/7330] lr: 1.000e-04, eta: 3 days, 16:55:32, time: 1.369, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0380, loss_semantic_seg: 0.2343, s0.loss_cls: 0.1888, s0.acc: 93.4133, s0.loss_bbox: 0.1037, s0.loss_mask: 0.2241, s1.loss_cls: 0.0907, s1.acc: 93.7083, s1.loss_bbox: 0.1071, s1.loss_mask: 0.1039, s2.loss_cls: 0.0450, s2.acc: 93.6230, s2.loss_bbox: 0.0647, s2.loss_mask: 0.0482, loss: 1.2793 2022-09-12 14:28:48,647 - mmdet - INFO - Epoch [4][5100/7330] lr: 1.000e-04, eta: 3 days, 16:54:28, time: 1.360, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2369, s0.loss_cls: 0.1915, s0.acc: 93.3755, s0.loss_bbox: 0.1050, s0.loss_mask: 0.2261, s1.loss_cls: 0.0918, s1.acc: 93.6099, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1040, s2.loss_cls: 0.0461, s2.acc: 93.4058, s2.loss_bbox: 0.0653, s2.loss_mask: 0.0487, loss: 1.2901 2022-09-12 14:29:56,847 - mmdet - INFO - Epoch [4][5150/7330] lr: 1.000e-04, eta: 3 days, 16:53:26, time: 1.364, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0358, loss_semantic_seg: 0.2254, s0.loss_cls: 0.1860, s0.acc: 93.6021, s0.loss_bbox: 0.1022, s0.loss_mask: 0.2283, s1.loss_cls: 0.0884, s1.acc: 93.9284, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1057, s2.loss_cls: 0.0443, s2.acc: 93.6235, s2.loss_bbox: 0.0644, s2.loss_mask: 0.0497, loss: 1.2668 2022-09-12 14:31:04,273 - mmdet - INFO - Epoch [4][5200/7330] lr: 1.000e-04, eta: 3 days, 16:52:17, time: 1.348, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0349, loss_semantic_seg: 0.2301, s0.loss_cls: 0.1916, s0.acc: 93.4268, s0.loss_bbox: 0.1055, s0.loss_mask: 0.2313, s1.loss_cls: 0.0920, s1.acc: 93.6581, s1.loss_bbox: 0.1097, s1.loss_mask: 0.1071, s2.loss_cls: 0.0456, s2.acc: 93.6715, s2.loss_bbox: 0.0660, s2.loss_mask: 0.0501, loss: 1.2930 2022-09-12 14:32:11,785 - mmdet - INFO - Epoch [4][5250/7330] lr: 1.000e-04, eta: 3 days, 16:51:08, time: 1.350, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0342, loss_semantic_seg: 0.2338, s0.loss_cls: 0.1852, s0.acc: 93.5945, s0.loss_bbox: 0.1000, s0.loss_mask: 0.2239, s1.loss_cls: 0.0884, s1.acc: 93.9108, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1046, s2.loss_cls: 0.0436, s2.acc: 93.8232, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0489, loss: 1.2600 2022-09-12 14:33:19,958 - mmdet - INFO - Epoch [4][5300/7330] lr: 1.000e-04, eta: 3 days, 16:50:06, time: 1.364, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2322, s0.loss_cls: 0.1819, s0.acc: 93.6885, s0.loss_bbox: 0.0997, s0.loss_mask: 0.2228, s1.loss_cls: 0.0869, s1.acc: 94.0112, s1.loss_bbox: 0.1016, s1.loss_mask: 0.1042, s2.loss_cls: 0.0433, s2.acc: 93.8186, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0484, loss: 1.2433 2022-09-12 14:34:27,213 - mmdet - INFO - Epoch [4][5350/7330] lr: 1.000e-04, eta: 3 days, 16:48:55, time: 1.345, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2354, s0.loss_cls: 0.1827, s0.acc: 93.7517, s0.loss_bbox: 0.0977, s0.loss_mask: 0.2197, s1.loss_cls: 0.0885, s1.acc: 93.9390, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1032, s2.loss_cls: 0.0441, s2.acc: 93.9066, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0477, loss: 1.2437 2022-09-12 14:35:33,732 - mmdet - INFO - Epoch [4][5400/7330] lr: 1.000e-04, eta: 3 days, 16:47:39, time: 1.330, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2277, s0.loss_cls: 0.1800, s0.acc: 93.7344, s0.loss_bbox: 0.1008, s0.loss_mask: 0.2269, s1.loss_cls: 0.0845, s1.acc: 94.0905, s1.loss_bbox: 0.1021, s1.loss_mask: 0.1055, s2.loss_cls: 0.0421, s2.acc: 94.0533, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0486, loss: 1.2452 2022-09-12 14:36:41,864 - mmdet - INFO - Epoch [4][5450/7330] lr: 1.000e-04, eta: 3 days, 16:46:36, time: 1.363, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0335, loss_semantic_seg: 0.2266, s0.loss_cls: 0.1824, s0.acc: 93.7039, s0.loss_bbox: 0.1008, s0.loss_mask: 0.2194, s1.loss_cls: 0.0870, s1.acc: 94.0364, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1017, s2.loss_cls: 0.0432, s2.acc: 93.9505, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0477, loss: 1.2365 2022-09-12 14:37:49,884 - mmdet - INFO - Epoch [4][5500/7330] lr: 1.000e-04, eta: 3 days, 16:45:32, time: 1.360, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0374, loss_semantic_seg: 0.2313, s0.loss_cls: 0.1973, s0.acc: 93.1660, s0.loss_bbox: 0.1074, s0.loss_mask: 0.2286, s1.loss_cls: 0.0944, s1.acc: 93.4010, s1.loss_bbox: 0.1074, s1.loss_mask: 0.1045, s2.loss_cls: 0.0464, s2.acc: 93.4028, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0484, loss: 1.3003 2022-09-12 14:38:58,108 - mmdet - INFO - Epoch [4][5550/7330] lr: 1.000e-04, eta: 3 days, 16:44:30, time: 1.364, data_time: 0.029, memory: 64751, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0359, loss_semantic_seg: 0.2372, s0.loss_cls: 0.1952, s0.acc: 93.2900, s0.loss_bbox: 0.1068, s0.loss_mask: 0.2278, s1.loss_cls: 0.0944, s1.acc: 93.3767, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1058, s2.loss_cls: 0.0469, s2.acc: 93.3037, s2.loss_bbox: 0.0664, s2.loss_mask: 0.0498, loss: 1.3068 2022-09-12 14:40:06,215 - mmdet - INFO - Epoch [4][5600/7330] lr: 1.000e-04, eta: 3 days, 16:43:27, time: 1.362, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0345, loss_semantic_seg: 0.2305, s0.loss_cls: 0.1921, s0.acc: 93.3943, s0.loss_bbox: 0.1018, s0.loss_mask: 0.2244, s1.loss_cls: 0.0923, s1.acc: 93.6822, s1.loss_bbox: 0.1052, s1.loss_mask: 0.1035, s2.loss_cls: 0.0460, s2.acc: 93.5497, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0487, loss: 1.2753 2022-09-12 14:41:13,506 - mmdet - INFO - Epoch [4][5650/7330] lr: 1.000e-04, eta: 3 days, 16:42:17, time: 1.346, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0343, loss_semantic_seg: 0.2327, s0.loss_cls: 0.1864, s0.acc: 93.6145, s0.loss_bbox: 0.0985, s0.loss_mask: 0.2217, s1.loss_cls: 0.0891, s1.acc: 93.8298, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1026, s2.loss_cls: 0.0450, s2.acc: 93.6995, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0479, loss: 1.2559 2022-09-12 14:42:22,051 - mmdet - INFO - Epoch [4][5700/7330] lr: 1.000e-04, eta: 3 days, 16:41:17, time: 1.371, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0372, loss_semantic_seg: 0.2232, s0.loss_cls: 0.1972, s0.acc: 93.1479, s0.loss_bbox: 0.1089, s0.loss_mask: 0.2256, s1.loss_cls: 0.0946, s1.acc: 93.3717, s1.loss_bbox: 0.1102, s1.loss_mask: 0.1044, s2.loss_cls: 0.0477, s2.acc: 93.2105, s2.loss_bbox: 0.0648, s2.loss_mask: 0.0480, loss: 1.2915 2022-09-12 14:43:29,126 - mmdet - INFO - Epoch [4][5750/7330] lr: 1.000e-04, eta: 3 days, 16:40:05, time: 1.342, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0351, loss_semantic_seg: 0.2381, s0.loss_cls: 0.1903, s0.acc: 93.5264, s0.loss_bbox: 0.1041, s0.loss_mask: 0.2261, s1.loss_cls: 0.0908, s1.acc: 93.8249, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1037, s2.loss_cls: 0.0459, s2.acc: 93.5162, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0485, loss: 1.2861 2022-09-12 14:44:36,134 - mmdet - INFO - Epoch [4][5800/7330] lr: 1.000e-04, eta: 3 days, 16:38:52, time: 1.338, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0343, loss_semantic_seg: 0.2357, s0.loss_cls: 0.1786, s0.acc: 93.9971, s0.loss_bbox: 0.1002, s0.loss_mask: 0.2176, s1.loss_cls: 0.0847, s1.acc: 94.2815, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1006, s2.loss_cls: 0.0426, s2.acc: 94.0901, s2.loss_bbox: 0.0623, s2.loss_mask: 0.0465, loss: 1.2349 2022-09-12 14:45:43,577 - mmdet - INFO - Epoch [4][5850/7330] lr: 1.000e-04, eta: 3 days, 16:37:44, time: 1.351, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0367, loss_semantic_seg: 0.2333, s0.loss_cls: 0.1868, s0.acc: 93.5625, s0.loss_bbox: 0.1023, s0.loss_mask: 0.2208, s1.loss_cls: 0.0906, s1.acc: 93.6532, s1.loss_bbox: 0.1061, s1.loss_mask: 0.1034, s2.loss_cls: 0.0451, s2.acc: 93.6183, s2.loss_bbox: 0.0641, s2.loss_mask: 0.0483, loss: 1.2669 2022-09-12 14:46:51,007 - mmdet - INFO - Epoch [4][5900/7330] lr: 1.000e-04, eta: 3 days, 16:36:35, time: 1.348, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2375, s0.loss_cls: 0.1852, s0.acc: 93.6841, s0.loss_bbox: 0.1001, s0.loss_mask: 0.2293, s1.loss_cls: 0.0890, s1.acc: 93.9580, s1.loss_bbox: 0.1023, s1.loss_mask: 0.1074, s2.loss_cls: 0.0446, s2.acc: 93.8504, s2.loss_bbox: 0.0631, s2.loss_mask: 0.0504, loss: 1.2750 2022-09-12 14:47:58,659 - mmdet - INFO - Epoch [4][5950/7330] lr: 1.000e-04, eta: 3 days, 16:35:28, time: 1.353, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0368, loss_semantic_seg: 0.2269, s0.loss_cls: 0.1876, s0.acc: 93.5830, s0.loss_bbox: 0.1028, s0.loss_mask: 0.2205, s1.loss_cls: 0.0903, s1.acc: 93.8507, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1032, s2.loss_cls: 0.0451, s2.acc: 93.7116, s2.loss_bbox: 0.0653, s2.loss_mask: 0.0482, loss: 1.2640 2022-09-12 14:49:07,304 - mmdet - INFO - Epoch [4][6000/7330] lr: 1.000e-04, eta: 3 days, 16:34:29, time: 1.373, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0362, loss_semantic_seg: 0.2226, s0.loss_cls: 0.1839, s0.acc: 93.6614, s0.loss_bbox: 0.1017, s0.loss_mask: 0.2236, s1.loss_cls: 0.0888, s1.acc: 93.8298, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1051, s2.loss_cls: 0.0440, s2.acc: 93.7029, s2.loss_bbox: 0.0640, s2.loss_mask: 0.0500, loss: 1.2570 2022-09-12 14:50:15,418 - mmdet - INFO - Epoch [4][6050/7330] lr: 1.000e-04, eta: 3 days, 16:33:25, time: 1.361, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0383, loss_semantic_seg: 0.2328, s0.loss_cls: 0.1966, s0.acc: 93.2981, s0.loss_bbox: 0.1061, s0.loss_mask: 0.2230, s1.loss_cls: 0.0927, s1.acc: 93.6815, s1.loss_bbox: 0.1073, s1.loss_mask: 0.1031, s2.loss_cls: 0.0458, s2.acc: 93.5729, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0485, loss: 1.2908 2022-09-12 14:51:23,257 - mmdet - INFO - Epoch [4][6100/7330] lr: 1.000e-04, eta: 3 days, 16:32:21, time: 1.358, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2274, s0.loss_cls: 0.1822, s0.acc: 93.7532, s0.loss_bbox: 0.0986, s0.loss_mask: 0.2239, s1.loss_cls: 0.0879, s1.acc: 93.9448, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1043, s2.loss_cls: 0.0438, s2.acc: 93.8024, s2.loss_bbox: 0.0623, s2.loss_mask: 0.0491, loss: 1.2449 2022-09-12 14:52:31,453 - mmdet - INFO - Epoch [4][6150/7330] lr: 1.000e-04, eta: 3 days, 16:31:18, time: 1.364, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0352, loss_semantic_seg: 0.2311, s0.loss_cls: 0.1838, s0.acc: 93.6565, s0.loss_bbox: 0.1006, s0.loss_mask: 0.2238, s1.loss_cls: 0.0869, s1.acc: 93.9728, s1.loss_bbox: 0.1030, s1.loss_mask: 0.1042, s2.loss_cls: 0.0433, s2.acc: 93.8794, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0484, loss: 1.2523 2022-09-12 14:53:38,677 - mmdet - INFO - Epoch [4][6200/7330] lr: 1.000e-04, eta: 3 days, 16:30:07, time: 1.345, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2275, s0.loss_cls: 0.1831, s0.acc: 93.7036, s0.loss_bbox: 0.1023, s0.loss_mask: 0.2224, s1.loss_cls: 0.0884, s1.acc: 93.9333, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1031, s2.loss_cls: 0.0438, s2.acc: 93.8699, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0483, loss: 1.2500 2022-09-12 14:54:46,647 - mmdet - INFO - Epoch [4][6250/7330] lr: 1.000e-04, eta: 3 days, 16:29:02, time: 1.358, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2354, s0.loss_cls: 0.1893, s0.acc: 93.5869, s0.loss_bbox: 0.0996, s0.loss_mask: 0.2246, s1.loss_cls: 0.0894, s1.acc: 93.9320, s1.loss_bbox: 0.1012, s1.loss_mask: 0.1036, s2.loss_cls: 0.0438, s2.acc: 93.8675, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0478, loss: 1.2628 2022-09-12 14:55:54,049 - mmdet - INFO - Epoch [4][6300/7330] lr: 1.000e-04, eta: 3 days, 16:27:53, time: 1.348, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0343, loss_semantic_seg: 0.2353, s0.loss_cls: 0.1794, s0.acc: 93.7839, s0.loss_bbox: 0.0976, s0.loss_mask: 0.2259, s1.loss_cls: 0.0866, s1.acc: 94.0376, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1056, s2.loss_cls: 0.0434, s2.acc: 93.9099, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0486, loss: 1.2528 2022-09-12 14:57:01,054 - mmdet - INFO - Epoch [4][6350/7330] lr: 1.000e-04, eta: 3 days, 16:26:41, time: 1.342, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0373, loss_semantic_seg: 0.2350, s0.loss_cls: 0.1937, s0.acc: 93.4314, s0.loss_bbox: 0.1049, s0.loss_mask: 0.2296, s1.loss_cls: 0.0931, s1.acc: 93.6388, s1.loss_bbox: 0.1078, s1.loss_mask: 0.1069, s2.loss_cls: 0.0467, s2.acc: 93.4267, s2.loss_bbox: 0.0643, s2.loss_mask: 0.0497, loss: 1.3008 2022-09-12 14:58:09,532 - mmdet - INFO - Epoch [4][6400/7330] lr: 1.000e-04, eta: 3 days, 16:25:41, time: 1.370, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0362, loss_semantic_seg: 0.2311, s0.loss_cls: 0.1914, s0.acc: 93.4622, s0.loss_bbox: 0.1034, s0.loss_mask: 0.2236, s1.loss_cls: 0.0909, s1.acc: 93.7728, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1038, s2.loss_cls: 0.0450, s2.acc: 93.6401, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0487, loss: 1.2711 2022-09-12 14:59:17,124 - mmdet - INFO - Epoch [4][6450/7330] lr: 1.000e-04, eta: 3 days, 16:24:33, time: 1.352, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0340, loss_semantic_seg: 0.2406, s0.loss_cls: 0.1879, s0.acc: 93.6025, s0.loss_bbox: 0.1032, s0.loss_mask: 0.2265, s1.loss_cls: 0.0887, s1.acc: 93.9083, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1047, s2.loss_cls: 0.0443, s2.acc: 93.7810, s2.loss_bbox: 0.0633, s2.loss_mask: 0.0490, loss: 1.2773 2022-09-12 15:00:26,495 - mmdet - INFO - Epoch [4][6500/7330] lr: 1.000e-04, eta: 3 days, 16:23:40, time: 1.386, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2384, s0.loss_cls: 0.1930, s0.acc: 93.3494, s0.loss_bbox: 0.1032, s0.loss_mask: 0.2284, s1.loss_cls: 0.0907, s1.acc: 93.6799, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1067, s2.loss_cls: 0.0449, s2.acc: 93.6887, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0490, loss: 1.2886 2022-09-12 15:01:34,247 - mmdet - INFO - Epoch [4][6550/7330] lr: 1.000e-04, eta: 3 days, 16:22:34, time: 1.357, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2315, s0.loss_cls: 0.1837, s0.acc: 93.7310, s0.loss_bbox: 0.1000, s0.loss_mask: 0.2202, s1.loss_cls: 0.0862, s1.acc: 94.1137, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1036, s2.loss_cls: 0.0424, s2.acc: 94.0943, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0490, loss: 1.2397 2022-09-12 15:02:41,377 - mmdet - INFO - Epoch [4][6600/7330] lr: 1.000e-04, eta: 3 days, 16:21:23, time: 1.342, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2194, s0.loss_cls: 0.1835, s0.acc: 93.8147, s0.loss_bbox: 0.0993, s0.loss_mask: 0.2222, s1.loss_cls: 0.0883, s1.acc: 94.1153, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1030, s2.loss_cls: 0.0439, s2.acc: 94.0179, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0480, loss: 1.2293 2022-09-12 15:03:50,111 - mmdet - INFO - Epoch [4][6650/7330] lr: 1.000e-04, eta: 3 days, 16:20:25, time: 1.375, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2384, s0.loss_cls: 0.1768, s0.acc: 93.8198, s0.loss_bbox: 0.0969, s0.loss_mask: 0.2258, s1.loss_cls: 0.0861, s1.acc: 93.9446, s1.loss_bbox: 0.0996, s1.loss_mask: 0.1056, s2.loss_cls: 0.0437, s2.acc: 93.7350, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0499, loss: 1.2452 2022-09-12 15:04:58,290 - mmdet - INFO - Epoch [4][6700/7330] lr: 1.000e-04, eta: 3 days, 16:19:22, time: 1.364, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0363, loss_semantic_seg: 0.2307, s0.loss_cls: 0.1907, s0.acc: 93.4153, s0.loss_bbox: 0.1062, s0.loss_mask: 0.2280, s1.loss_cls: 0.0919, s1.acc: 93.6274, s1.loss_bbox: 0.1086, s1.loss_mask: 0.1056, s2.loss_cls: 0.0461, s2.acc: 93.4747, s2.loss_bbox: 0.0633, s2.loss_mask: 0.0492, loss: 1.2852 2022-09-12 15:06:08,466 - mmdet - INFO - Epoch [4][6750/7330] lr: 1.000e-04, eta: 3 days, 16:18:35, time: 1.403, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0336, loss_semantic_seg: 0.2381, s0.loss_cls: 0.1836, s0.acc: 93.6646, s0.loss_bbox: 0.1030, s0.loss_mask: 0.2257, s1.loss_cls: 0.0883, s1.acc: 93.9340, s1.loss_bbox: 0.1068, s1.loss_mask: 0.1043, s2.loss_cls: 0.0447, s2.acc: 93.7259, s2.loss_bbox: 0.0644, s2.loss_mask: 0.0489, loss: 1.2734 2022-09-12 15:07:18,690 - mmdet - INFO - Epoch [4][6800/7330] lr: 1.000e-04, eta: 3 days, 16:17:49, time: 1.405, data_time: 0.063, memory: 64751, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0361, loss_semantic_seg: 0.2354, s0.loss_cls: 0.1984, s0.acc: 93.2019, s0.loss_bbox: 0.1039, s0.loss_mask: 0.2285, s1.loss_cls: 0.0934, s1.acc: 93.5640, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1061, s2.loss_cls: 0.0471, s2.acc: 93.4761, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0492, loss: 1.3005 2022-09-12 15:08:27,179 - mmdet - INFO - Epoch [4][6850/7330] lr: 1.000e-04, eta: 3 days, 16:16:48, time: 1.368, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0336, loss_semantic_seg: 0.2233, s0.loss_cls: 0.1847, s0.acc: 93.5149, s0.loss_bbox: 0.1022, s0.loss_mask: 0.2207, s1.loss_cls: 0.0880, s1.acc: 93.8657, s1.loss_bbox: 0.1059, s1.loss_mask: 0.1037, s2.loss_cls: 0.0442, s2.acc: 93.7491, s2.loss_bbox: 0.0654, s2.loss_mask: 0.0488, loss: 1.2508 2022-09-12 15:09:35,525 - mmdet - INFO - Epoch [4][6900/7330] lr: 1.000e-04, eta: 3 days, 16:15:47, time: 1.367, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0340, loss_semantic_seg: 0.2260, s0.loss_cls: 0.1904, s0.acc: 93.4753, s0.loss_bbox: 0.1037, s0.loss_mask: 0.2249, s1.loss_cls: 0.0916, s1.acc: 93.6615, s1.loss_bbox: 0.1056, s1.loss_mask: 0.1049, s2.loss_cls: 0.0462, s2.acc: 93.5020, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0494, loss: 1.2722 2022-09-12 15:10:43,009 - mmdet - INFO - Epoch [4][6950/7330] lr: 1.000e-04, eta: 3 days, 16:14:39, time: 1.351, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2232, s0.loss_cls: 0.1809, s0.acc: 93.7461, s0.loss_bbox: 0.0987, s0.loss_mask: 0.2211, s1.loss_cls: 0.0869, s1.acc: 94.0343, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1027, s2.loss_cls: 0.0430, s2.acc: 93.8762, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0483, loss: 1.2273 2022-09-12 15:11:51,185 - mmdet - INFO - Epoch [4][7000/7330] lr: 1.000e-04, eta: 3 days, 16:13:35, time: 1.363, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0345, loss_semantic_seg: 0.2238, s0.loss_cls: 0.1931, s0.acc: 93.3950, s0.loss_bbox: 0.1065, s0.loss_mask: 0.2275, s1.loss_cls: 0.0921, s1.acc: 93.7169, s1.loss_bbox: 0.1096, s1.loss_mask: 0.1058, s2.loss_cls: 0.0461, s2.acc: 93.6145, s2.loss_bbox: 0.0656, s2.loss_mask: 0.0489, loss: 1.2842 2022-09-12 15:12:59,812 - mmdet - INFO - Epoch [4][7050/7330] lr: 1.000e-04, eta: 3 days, 16:12:36, time: 1.373, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2250, s0.loss_cls: 0.1729, s0.acc: 93.9812, s0.loss_bbox: 0.0945, s0.loss_mask: 0.2168, s1.loss_cls: 0.0830, s1.acc: 94.2374, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1011, s2.loss_cls: 0.0417, s2.acc: 94.1193, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0478, loss: 1.1998 2022-09-12 15:14:10,947 - mmdet - INFO - Epoch [4][7100/7330] lr: 1.000e-04, eta: 3 days, 16:11:56, time: 1.421, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0357, loss_semantic_seg: 0.2334, s0.loss_cls: 0.1845, s0.acc: 93.6353, s0.loss_bbox: 0.1042, s0.loss_mask: 0.2283, s1.loss_cls: 0.0892, s1.acc: 93.7990, s1.loss_bbox: 0.1065, s1.loss_mask: 0.1065, s2.loss_cls: 0.0449, s2.acc: 93.5346, s2.loss_bbox: 0.0636, s2.loss_mask: 0.0495, loss: 1.2762 2022-09-12 15:15:18,744 - mmdet - INFO - Epoch [4][7150/7330] lr: 1.000e-04, eta: 3 days, 16:10:51, time: 1.358, data_time: 0.016, memory: 64751, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2251, s0.loss_cls: 0.1823, s0.acc: 93.7830, s0.loss_bbox: 0.1010, s0.loss_mask: 0.2226, s1.loss_cls: 0.0874, s1.acc: 93.9809, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1037, s2.loss_cls: 0.0444, s2.acc: 93.7479, s2.loss_bbox: 0.0643, s2.loss_mask: 0.0487, loss: 1.2455 2022-09-12 15:16:27,997 - mmdet - INFO - Epoch [4][7200/7330] lr: 1.000e-04, eta: 3 days, 16:09:56, time: 1.385, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0357, loss_semantic_seg: 0.2307, s0.loss_cls: 0.1857, s0.acc: 93.6433, s0.loss_bbox: 0.1000, s0.loss_mask: 0.2256, s1.loss_cls: 0.0887, s1.acc: 93.8483, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1055, s2.loss_cls: 0.0449, s2.acc: 93.5765, s2.loss_bbox: 0.0631, s2.loss_mask: 0.0491, loss: 1.2643 2022-09-12 15:17:36,424 - mmdet - INFO - Epoch [4][7250/7330] lr: 1.000e-04, eta: 3 days, 16:08:55, time: 1.369, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2200, s0.loss_cls: 0.1752, s0.acc: 93.9194, s0.loss_bbox: 0.0954, s0.loss_mask: 0.2122, s1.loss_cls: 0.0859, s1.acc: 94.0470, s1.loss_bbox: 0.0995, s1.loss_mask: 0.0983, s2.loss_cls: 0.0428, s2.acc: 93.9411, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0458, loss: 1.1945 2022-09-12 15:18:44,421 - mmdet - INFO - Epoch [4][7300/7330] lr: 1.000e-04, eta: 3 days, 16:07:51, time: 1.360, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0361, loss_semantic_seg: 0.2300, s0.loss_cls: 0.1965, s0.acc: 93.1873, s0.loss_bbox: 0.1077, s0.loss_mask: 0.2271, s1.loss_cls: 0.0947, s1.acc: 93.4354, s1.loss_bbox: 0.1107, s1.loss_mask: 0.1056, s2.loss_cls: 0.0474, s2.acc: 93.2391, s2.loss_bbox: 0.0680, s2.loss_mask: 0.0490, loss: 1.3030 2022-09-12 15:19:35,616 - mmdet - INFO - Saving checkpoint at 4 epochs 2022-09-12 15:23:09,051 - mmdet - INFO - Evaluating bbox... 2022-09-12 15:24:15,302 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.496 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.687 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.551 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.357 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.544 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.596 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.683 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.683 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.683 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.726 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.808 2022-09-12 15:24:15,302 - mmdet - INFO - Evaluating segm... 2022-09-12 15:25:30,210 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.439 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.666 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.480 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.258 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.478 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.595 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.434 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.640 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.737 2022-09-12 15:25:31,665 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 15:25:31,668 - mmdet - INFO - Epoch(val) [4][313] bbox_mAP: 0.4960, bbox_mAP_50: 0.6870, bbox_mAP_75: 0.5510, bbox_mAP_s: 0.3570, bbox_mAP_m: 0.5440, bbox_mAP_l: 0.5960, bbox_mAP_copypaste: 0.496 0.687 0.551 0.357 0.544 0.596, segm_mAP: 0.4390, segm_mAP_50: 0.6660, segm_mAP_75: 0.4800, segm_mAP_s: 0.2580, segm_mAP_m: 0.4780, segm_mAP_l: 0.5950, segm_mAP_copypaste: 0.439 0.666 0.480 0.258 0.478 0.595 2022-09-12 15:28:31,391 - mmdet - INFO - Epoch [5][50/7330] lr: 1.000e-04, eta: 3 days, 16:15:33, time: 3.593, data_time: 2.208, memory: 64751, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2201, s0.loss_cls: 0.1763, s0.acc: 93.7502, s0.loss_bbox: 0.0997, s0.loss_mask: 0.2159, s1.loss_cls: 0.0845, s1.acc: 93.9844, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1012, s2.loss_cls: 0.0422, s2.acc: 93.9523, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0475, loss: 1.2193 2022-09-12 15:29:40,447 - mmdet - INFO - Epoch [5][100/7330] lr: 1.000e-04, eta: 3 days, 16:14:36, time: 1.381, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2337, s0.loss_cls: 0.1774, s0.acc: 93.9675, s0.loss_bbox: 0.0941, s0.loss_mask: 0.2201, s1.loss_cls: 0.0839, s1.acc: 94.2626, s1.loss_bbox: 0.0977, s1.loss_mask: 0.1036, s2.loss_cls: 0.0422, s2.acc: 94.1121, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0487, loss: 1.2218 2022-09-12 15:30:48,570 - mmdet - INFO - Epoch [5][150/7330] lr: 1.000e-04, eta: 3 days, 16:13:31, time: 1.363, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0329, loss_semantic_seg: 0.2260, s0.loss_cls: 0.1780, s0.acc: 93.7900, s0.loss_bbox: 0.0979, s0.loss_mask: 0.2153, s1.loss_cls: 0.0854, s1.acc: 94.0725, s1.loss_bbox: 0.1010, s1.loss_mask: 0.1004, s2.loss_cls: 0.0433, s2.acc: 93.9023, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0471, loss: 1.2205 2022-09-12 15:31:56,840 - mmdet - INFO - Epoch [5][200/7330] lr: 1.000e-04, eta: 3 days, 16:12:27, time: 1.365, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2247, s0.loss_cls: 0.1747, s0.acc: 93.8708, s0.loss_bbox: 0.0982, s0.loss_mask: 0.2168, s1.loss_cls: 0.0828, s1.acc: 94.1471, s1.loss_bbox: 0.1010, s1.loss_mask: 0.1013, s2.loss_cls: 0.0418, s2.acc: 93.9631, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0472, loss: 1.2134 2022-09-12 15:33:05,363 - mmdet - INFO - Epoch [5][250/7330] lr: 1.000e-04, eta: 3 days, 16:11:26, time: 1.370, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0356, loss_semantic_seg: 0.2258, s0.loss_cls: 0.1875, s0.acc: 93.3679, s0.loss_bbox: 0.1050, s0.loss_mask: 0.2258, s1.loss_cls: 0.0905, s1.acc: 93.5576, s1.loss_bbox: 0.1077, s1.loss_mask: 0.1040, s2.loss_cls: 0.0450, s2.acc: 93.4027, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0485, loss: 1.2731 2022-09-12 15:34:14,123 - mmdet - INFO - Epoch [5][300/7330] lr: 1.000e-04, eta: 3 days, 16:10:26, time: 1.375, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0342, loss_semantic_seg: 0.2190, s0.loss_cls: 0.1860, s0.acc: 93.6833, s0.loss_bbox: 0.1017, s0.loss_mask: 0.2200, s1.loss_cls: 0.0880, s1.acc: 94.0270, s1.loss_bbox: 0.1045, s1.loss_mask: 0.1022, s2.loss_cls: 0.0436, s2.acc: 93.8830, s2.loss_bbox: 0.0631, s2.loss_mask: 0.0478, loss: 1.2408 2022-09-12 15:35:22,089 - mmdet - INFO - Epoch [5][350/7330] lr: 1.000e-04, eta: 3 days, 16:09:20, time: 1.359, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0351, loss_semantic_seg: 0.2255, s0.loss_cls: 0.1842, s0.acc: 93.6299, s0.loss_bbox: 0.1003, s0.loss_mask: 0.2237, s1.loss_cls: 0.0886, s1.acc: 93.8927, s1.loss_bbox: 0.1032, s1.loss_mask: 0.1032, s2.loss_cls: 0.0438, s2.acc: 93.7925, s2.loss_bbox: 0.0633, s2.loss_mask: 0.0483, loss: 1.2486 2022-09-12 15:36:28,873 - mmdet - INFO - Epoch [5][400/7330] lr: 1.000e-04, eta: 3 days, 16:08:05, time: 1.336, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0342, loss_semantic_seg: 0.2175, s0.loss_cls: 0.1742, s0.acc: 93.9158, s0.loss_bbox: 0.0987, s0.loss_mask: 0.2201, s1.loss_cls: 0.0836, s1.acc: 94.0961, s1.loss_bbox: 0.1015, s1.loss_mask: 0.1029, s2.loss_cls: 0.0416, s2.acc: 94.0425, s2.loss_bbox: 0.0622, s2.loss_mask: 0.0486, loss: 1.2134 2022-09-12 15:37:36,807 - mmdet - INFO - Epoch [5][450/7330] lr: 1.000e-04, eta: 3 days, 16:06:58, time: 1.359, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2267, s0.loss_cls: 0.1774, s0.acc: 93.8982, s0.loss_bbox: 0.0998, s0.loss_mask: 0.2253, s1.loss_cls: 0.0851, s1.acc: 94.0857, s1.loss_bbox: 0.1030, s1.loss_mask: 0.1046, s2.loss_cls: 0.0428, s2.acc: 93.9678, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0486, loss: 1.2383 2022-09-12 15:38:44,344 - mmdet - INFO - Epoch [5][500/7330] lr: 1.000e-04, eta: 3 days, 16:05:49, time: 1.351, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2213, s0.loss_cls: 0.1830, s0.acc: 93.7590, s0.loss_bbox: 0.0996, s0.loss_mask: 0.2164, s1.loss_cls: 0.0866, s1.acc: 94.0474, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1004, s2.loss_cls: 0.0436, s2.acc: 93.9274, s2.loss_bbox: 0.0637, s2.loss_mask: 0.0468, loss: 1.2291 2022-09-12 15:39:52,899 - mmdet - INFO - Epoch [5][550/7330] lr: 1.000e-04, eta: 3 days, 16:04:47, time: 1.371, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0362, loss_semantic_seg: 0.2226, s0.loss_cls: 0.1850, s0.acc: 93.6575, s0.loss_bbox: 0.1018, s0.loss_mask: 0.2217, s1.loss_cls: 0.0873, s1.acc: 93.9176, s1.loss_bbox: 0.1056, s1.loss_mask: 0.1028, s2.loss_cls: 0.0444, s2.acc: 93.6493, s2.loss_bbox: 0.0653, s2.loss_mask: 0.0484, loss: 1.2509 2022-09-12 15:41:00,461 - mmdet - INFO - Epoch [5][600/7330] lr: 1.000e-04, eta: 3 days, 16:03:38, time: 1.351, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2251, s0.loss_cls: 0.1784, s0.acc: 93.7671, s0.loss_bbox: 0.0995, s0.loss_mask: 0.2190, s1.loss_cls: 0.0854, s1.acc: 94.1044, s1.loss_bbox: 0.0995, s1.loss_mask: 0.1027, s2.loss_cls: 0.0426, s2.acc: 93.9192, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0480, loss: 1.2210 2022-09-12 15:42:08,320 - mmdet - INFO - Epoch [5][650/7330] lr: 1.000e-04, eta: 3 days, 16:02:31, time: 1.355, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0341, loss_semantic_seg: 0.2326, s0.loss_cls: 0.1807, s0.acc: 93.7476, s0.loss_bbox: 0.0966, s0.loss_mask: 0.2225, s1.loss_cls: 0.0854, s1.acc: 94.1697, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1040, s2.loss_cls: 0.0434, s2.acc: 94.0084, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0485, loss: 1.2430 2022-09-12 15:43:16,678 - mmdet - INFO - Epoch [5][700/7330] lr: 1.000e-04, eta: 3 days, 16:01:28, time: 1.369, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2261, s0.loss_cls: 0.1863, s0.acc: 93.4407, s0.loss_bbox: 0.1049, s0.loss_mask: 0.2222, s1.loss_cls: 0.0902, s1.acc: 93.6871, s1.loss_bbox: 0.1071, s1.loss_mask: 0.1024, s2.loss_cls: 0.0452, s2.acc: 93.5807, s2.loss_bbox: 0.0649, s2.loss_mask: 0.0479, loss: 1.2624 2022-09-12 15:44:24,825 - mmdet - INFO - Epoch [5][750/7330] lr: 1.000e-04, eta: 3 days, 16:00:24, time: 1.363, data_time: 0.028, memory: 64751, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0349, loss_semantic_seg: 0.2314, s0.loss_cls: 0.1913, s0.acc: 93.4624, s0.loss_bbox: 0.1025, s0.loss_mask: 0.2185, s1.loss_cls: 0.0890, s1.acc: 93.8310, s1.loss_bbox: 0.1051, s1.loss_mask: 0.1019, s2.loss_cls: 0.0446, s2.acc: 93.7302, s2.loss_bbox: 0.0644, s2.loss_mask: 0.0480, loss: 1.2620 2022-09-12 15:45:32,159 - mmdet - INFO - Epoch [5][800/7330] lr: 1.000e-04, eta: 3 days, 15:59:13, time: 1.347, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2209, s0.loss_cls: 0.1783, s0.acc: 93.8269, s0.loss_bbox: 0.0975, s0.loss_mask: 0.2270, s1.loss_cls: 0.0853, s1.acc: 94.0723, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1051, s2.loss_cls: 0.0432, s2.acc: 93.8010, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0491, loss: 1.2297 2022-09-12 15:46:39,628 - mmdet - INFO - Epoch [5][850/7330] lr: 1.000e-04, eta: 3 days, 15:58:03, time: 1.349, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.2202, s0.loss_cls: 0.1666, s0.acc: 94.1763, s0.loss_bbox: 0.0936, s0.loss_mask: 0.2173, s1.loss_cls: 0.0791, s1.acc: 94.4006, s1.loss_bbox: 0.0976, s1.loss_mask: 0.1016, s2.loss_cls: 0.0399, s2.acc: 94.3463, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0475, loss: 1.1789 2022-09-12 15:47:47,417 - mmdet - INFO - Epoch [5][900/7330] lr: 1.000e-04, eta: 3 days, 15:56:55, time: 1.356, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2265, s0.loss_cls: 0.1867, s0.acc: 93.5969, s0.loss_bbox: 0.1006, s0.loss_mask: 0.2213, s1.loss_cls: 0.0892, s1.acc: 93.8903, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1036, s2.loss_cls: 0.0437, s2.acc: 93.8728, s2.loss_bbox: 0.0633, s2.loss_mask: 0.0486, loss: 1.2481 2022-09-12 15:48:55,874 - mmdet - INFO - Epoch [5][950/7330] lr: 1.000e-04, eta: 3 days, 15:55:53, time: 1.369, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2222, s0.loss_cls: 0.1752, s0.acc: 93.8694, s0.loss_bbox: 0.0951, s0.loss_mask: 0.2185, s1.loss_cls: 0.0834, s1.acc: 94.1449, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1015, s2.loss_cls: 0.0422, s2.acc: 94.0536, s2.loss_bbox: 0.0624, s2.loss_mask: 0.0478, loss: 1.2091 2022-09-12 15:50:03,705 - mmdet - INFO - Epoch [5][1000/7330] lr: 1.000e-04, eta: 3 days, 15:54:46, time: 1.357, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0346, loss_semantic_seg: 0.2197, s0.loss_cls: 0.1768, s0.acc: 93.7832, s0.loss_bbox: 0.0987, s0.loss_mask: 0.2170, s1.loss_cls: 0.0840, s1.acc: 94.1601, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1006, s2.loss_cls: 0.0422, s2.acc: 93.9573, s2.loss_bbox: 0.0611, s2.loss_mask: 0.0472, loss: 1.2102 2022-09-12 15:51:11,921 - mmdet - INFO - Epoch [5][1050/7330] lr: 1.000e-04, eta: 3 days, 15:53:41, time: 1.364, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0349, loss_semantic_seg: 0.2191, s0.loss_cls: 0.1875, s0.acc: 93.4565, s0.loss_bbox: 0.1039, s0.loss_mask: 0.2256, s1.loss_cls: 0.0900, s1.acc: 93.6405, s1.loss_bbox: 0.1062, s1.loss_mask: 0.1050, s2.loss_cls: 0.0455, s2.acc: 93.4319, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0487, loss: 1.2599 2022-09-12 15:52:19,546 - mmdet - INFO - Epoch [5][1100/7330] lr: 1.000e-04, eta: 3 days, 15:52:33, time: 1.353, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0336, loss_semantic_seg: 0.2125, s0.loss_cls: 0.1783, s0.acc: 93.8821, s0.loss_bbox: 0.0975, s0.loss_mask: 0.2110, s1.loss_cls: 0.0852, s1.acc: 94.1985, s1.loss_bbox: 0.1013, s1.loss_mask: 0.0981, s2.loss_cls: 0.0429, s2.acc: 94.0299, s2.loss_bbox: 0.0622, s2.loss_mask: 0.0456, loss: 1.1966 2022-09-12 15:53:27,537 - mmdet - INFO - Epoch [5][1150/7330] lr: 1.000e-04, eta: 3 days, 15:51:27, time: 1.360, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2316, s0.loss_cls: 0.1764, s0.acc: 93.9648, s0.loss_bbox: 0.0943, s0.loss_mask: 0.2172, s1.loss_cls: 0.0843, s1.acc: 94.1285, s1.loss_bbox: 0.0975, s1.loss_mask: 0.1014, s2.loss_cls: 0.0418, s2.acc: 94.0422, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0475, loss: 1.2107 2022-09-12 15:54:35,102 - mmdet - INFO - Epoch [5][1200/7330] lr: 1.000e-04, eta: 3 days, 15:50:18, time: 1.351, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2263, s0.loss_cls: 0.1708, s0.acc: 93.9299, s0.loss_bbox: 0.0952, s0.loss_mask: 0.2208, s1.loss_cls: 0.0816, s1.acc: 94.1365, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1031, s2.loss_cls: 0.0413, s2.acc: 94.0297, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0481, loss: 1.2111 2022-09-12 15:55:42,522 - mmdet - INFO - Epoch [5][1250/7330] lr: 1.000e-04, eta: 3 days, 15:49:07, time: 1.348, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2171, s0.loss_cls: 0.1803, s0.acc: 93.6431, s0.loss_bbox: 0.0998, s0.loss_mask: 0.2235, s1.loss_cls: 0.0878, s1.acc: 93.8707, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1044, s2.loss_cls: 0.0432, s2.acc: 93.8738, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0487, loss: 1.2317 2022-09-12 15:56:51,206 - mmdet - INFO - Epoch [5][1300/7330] lr: 1.000e-04, eta: 3 days, 15:48:07, time: 1.374, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0338, loss_semantic_seg: 0.2237, s0.loss_cls: 0.1789, s0.acc: 93.7615, s0.loss_bbox: 0.0999, s0.loss_mask: 0.2192, s1.loss_cls: 0.0856, s1.acc: 94.0436, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1018, s2.loss_cls: 0.0423, s2.acc: 93.9567, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0477, loss: 1.2259 2022-09-12 15:57:59,530 - mmdet - INFO - Epoch [5][1350/7330] lr: 1.000e-04, eta: 3 days, 15:47:03, time: 1.366, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0354, loss_semantic_seg: 0.2314, s0.loss_cls: 0.1857, s0.acc: 93.6106, s0.loss_bbox: 0.1001, s0.loss_mask: 0.2197, s1.loss_cls: 0.0878, s1.acc: 93.8613, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1019, s2.loss_cls: 0.0441, s2.acc: 93.7750, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0474, loss: 1.2457 2022-09-12 15:59:07,716 - mmdet - INFO - Epoch [5][1400/7330] lr: 1.000e-04, eta: 3 days, 15:45:58, time: 1.362, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0342, loss_semantic_seg: 0.2331, s0.loss_cls: 0.1873, s0.acc: 93.4678, s0.loss_bbox: 0.1030, s0.loss_mask: 0.2243, s1.loss_cls: 0.0894, s1.acc: 93.7965, s1.loss_bbox: 0.1049, s1.loss_mask: 0.1041, s2.loss_cls: 0.0451, s2.acc: 93.5484, s2.loss_bbox: 0.0649, s2.loss_mask: 0.0489, loss: 1.2688 2022-09-12 16:00:15,415 - mmdet - INFO - Epoch [5][1450/7330] lr: 1.000e-04, eta: 3 days, 15:44:51, time: 1.356, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0340, loss_semantic_seg: 0.2231, s0.loss_cls: 0.1781, s0.acc: 93.7197, s0.loss_bbox: 0.1013, s0.loss_mask: 0.2156, s1.loss_cls: 0.0853, s1.acc: 93.9051, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1009, s2.loss_cls: 0.0429, s2.acc: 93.7371, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0472, loss: 1.2207 2022-09-12 16:01:24,348 - mmdet - INFO - Epoch [5][1500/7330] lr: 1.000e-04, eta: 3 days, 15:43:52, time: 1.379, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0341, loss_semantic_seg: 0.2221, s0.loss_cls: 0.1804, s0.acc: 93.6770, s0.loss_bbox: 0.1042, s0.loss_mask: 0.2234, s1.loss_cls: 0.0856, s1.acc: 93.9798, s1.loss_bbox: 0.1091, s1.loss_mask: 0.1036, s2.loss_cls: 0.0432, s2.acc: 93.7668, s2.loss_bbox: 0.0668, s2.loss_mask: 0.0485, loss: 1.2513 2022-09-12 16:02:32,052 - mmdet - INFO - Epoch [5][1550/7330] lr: 1.000e-04, eta: 3 days, 15:42:44, time: 1.354, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2255, s0.loss_cls: 0.1804, s0.acc: 93.7712, s0.loss_bbox: 0.0975, s0.loss_mask: 0.2164, s1.loss_cls: 0.0855, s1.acc: 94.0235, s1.loss_bbox: 0.0986, s1.loss_mask: 0.1008, s2.loss_cls: 0.0432, s2.acc: 93.8580, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0475, loss: 1.2216 2022-09-12 16:03:39,284 - mmdet - INFO - Epoch [5][1600/7330] lr: 1.000e-04, eta: 3 days, 15:41:32, time: 1.345, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2221, s0.loss_cls: 0.1760, s0.acc: 93.8398, s0.loss_bbox: 0.0988, s0.loss_mask: 0.2238, s1.loss_cls: 0.0836, s1.acc: 94.2068, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1045, s2.loss_cls: 0.0419, s2.acc: 94.1220, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0495, loss: 1.2268 2022-09-12 16:04:46,570 - mmdet - INFO - Epoch [5][1650/7330] lr: 1.000e-04, eta: 3 days, 15:40:21, time: 1.346, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.2262, s0.loss_cls: 0.1676, s0.acc: 94.2859, s0.loss_bbox: 0.0919, s0.loss_mask: 0.2099, s1.loss_cls: 0.0789, s1.acc: 94.6232, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0986, s2.loss_cls: 0.0396, s2.acc: 94.4663, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0462, loss: 1.1713 2022-09-12 16:05:55,369 - mmdet - INFO - Epoch [5][1700/7330] lr: 1.000e-04, eta: 3 days, 15:39:21, time: 1.376, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0349, loss_semantic_seg: 0.2262, s0.loss_cls: 0.1894, s0.acc: 93.4829, s0.loss_bbox: 0.1023, s0.loss_mask: 0.2259, s1.loss_cls: 0.0908, s1.acc: 93.6984, s1.loss_bbox: 0.1041, s1.loss_mask: 0.1063, s2.loss_cls: 0.0453, s2.acc: 93.6295, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0493, loss: 1.2696 2022-09-12 16:07:04,057 - mmdet - INFO - Epoch [5][1750/7330] lr: 1.000e-04, eta: 3 days, 15:38:20, time: 1.374, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0358, loss_semantic_seg: 0.2371, s0.loss_cls: 0.1881, s0.acc: 93.4438, s0.loss_bbox: 0.1023, s0.loss_mask: 0.2268, s1.loss_cls: 0.0905, s1.acc: 93.6511, s1.loss_bbox: 0.1070, s1.loss_mask: 0.1065, s2.loss_cls: 0.0452, s2.acc: 93.5218, s2.loss_bbox: 0.0652, s2.loss_mask: 0.0495, loss: 1.2855 2022-09-12 16:08:12,761 - mmdet - INFO - Epoch [5][1800/7330] lr: 1.000e-04, eta: 3 days, 15:37:19, time: 1.374, data_time: 0.028, memory: 64751, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0332, loss_semantic_seg: 0.2194, s0.loss_cls: 0.1753, s0.acc: 93.8542, s0.loss_bbox: 0.0996, s0.loss_mask: 0.2188, s1.loss_cls: 0.0836, s1.acc: 94.1578, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1021, s2.loss_cls: 0.0421, s2.acc: 93.9695, s2.loss_bbox: 0.0631, s2.loss_mask: 0.0478, loss: 1.2165 2022-09-12 16:09:20,355 - mmdet - INFO - Epoch [5][1850/7330] lr: 1.000e-04, eta: 3 days, 15:36:09, time: 1.350, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2235, s0.loss_cls: 0.1732, s0.acc: 94.0161, s0.loss_bbox: 0.0971, s0.loss_mask: 0.2177, s1.loss_cls: 0.0830, s1.acc: 94.2506, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1018, s2.loss_cls: 0.0415, s2.acc: 94.0322, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0473, loss: 1.2069 2022-09-12 16:10:28,978 - mmdet - INFO - Epoch [5][1900/7330] lr: 1.000e-04, eta: 3 days, 15:35:09, time: 1.374, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2101, s0.loss_cls: 0.1947, s0.acc: 93.3494, s0.loss_bbox: 0.1037, s0.loss_mask: 0.2220, s1.loss_cls: 0.0938, s1.acc: 93.5796, s1.loss_bbox: 0.1060, s1.loss_mask: 0.1036, s2.loss_cls: 0.0462, s2.acc: 93.5115, s2.loss_bbox: 0.0633, s2.loss_mask: 0.0483, loss: 1.2544 2022-09-12 16:11:36,626 - mmdet - INFO - Epoch [5][1950/7330] lr: 1.000e-04, eta: 3 days, 15:34:00, time: 1.353, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2185, s0.loss_cls: 0.1807, s0.acc: 93.6677, s0.loss_bbox: 0.1008, s0.loss_mask: 0.2230, s1.loss_cls: 0.0862, s1.acc: 93.9875, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1041, s2.loss_cls: 0.0429, s2.acc: 93.8653, s2.loss_bbox: 0.0651, s2.loss_mask: 0.0488, loss: 1.2416 2022-09-12 16:12:44,297 - mmdet - INFO - Epoch [5][2000/7330] lr: 1.000e-04, eta: 3 days, 15:32:52, time: 1.353, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.2211, s0.loss_cls: 0.1804, s0.acc: 93.6897, s0.loss_bbox: 0.1005, s0.loss_mask: 0.2203, s1.loss_cls: 0.0859, s1.acc: 93.9517, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1028, s2.loss_cls: 0.0424, s2.acc: 93.9635, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0483, loss: 1.2303 2022-09-12 16:13:53,285 - mmdet - INFO - Epoch [5][2050/7330] lr: 1.000e-04, eta: 3 days, 15:31:53, time: 1.380, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2353, s0.loss_cls: 0.1753, s0.acc: 93.9275, s0.loss_bbox: 0.0963, s0.loss_mask: 0.2194, s1.loss_cls: 0.0830, s1.acc: 94.2507, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1028, s2.loss_cls: 0.0424, s2.acc: 94.0014, s2.loss_bbox: 0.0629, s2.loss_mask: 0.0479, loss: 1.2252 2022-09-12 16:15:00,903 - mmdet - INFO - Epoch [5][2100/7330] lr: 1.000e-04, eta: 3 days, 15:30:44, time: 1.352, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.2255, s0.loss_cls: 0.1766, s0.acc: 93.8748, s0.loss_bbox: 0.1011, s0.loss_mask: 0.2239, s1.loss_cls: 0.0846, s1.acc: 94.0990, s1.loss_bbox: 0.1052, s1.loss_mask: 0.1046, s2.loss_cls: 0.0426, s2.acc: 94.0277, s2.loss_bbox: 0.0625, s2.loss_mask: 0.0490, loss: 1.2368 2022-09-12 16:16:09,620 - mmdet - INFO - Epoch [5][2150/7330] lr: 1.000e-04, eta: 3 days, 15:29:43, time: 1.374, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2276, s0.loss_cls: 0.1827, s0.acc: 93.7363, s0.loss_bbox: 0.1000, s0.loss_mask: 0.2196, s1.loss_cls: 0.0882, s1.acc: 93.9604, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1029, s2.loss_cls: 0.0440, s2.acc: 93.8912, s2.loss_bbox: 0.0624, s2.loss_mask: 0.0481, loss: 1.2403 2022-09-12 16:17:18,146 - mmdet - INFO - Epoch [5][2200/7330] lr: 1.000e-04, eta: 3 days, 15:28:41, time: 1.370, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0360, loss_semantic_seg: 0.2309, s0.loss_cls: 0.1774, s0.acc: 93.8164, s0.loss_bbox: 0.0960, s0.loss_mask: 0.2156, s1.loss_cls: 0.0857, s1.acc: 94.0096, s1.loss_bbox: 0.1004, s1.loss_mask: 0.0995, s2.loss_cls: 0.0432, s2.acc: 93.9084, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0466, loss: 1.2203 2022-09-12 16:18:26,133 - mmdet - INFO - Epoch [5][2250/7330] lr: 1.000e-04, eta: 3 days, 15:27:35, time: 1.358, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0343, loss_semantic_seg: 0.2278, s0.loss_cls: 0.1878, s0.acc: 93.4819, s0.loss_bbox: 0.1049, s0.loss_mask: 0.2249, s1.loss_cls: 0.0886, s1.acc: 93.7462, s1.loss_bbox: 0.1060, s1.loss_mask: 0.1047, s2.loss_cls: 0.0440, s2.acc: 93.7278, s2.loss_bbox: 0.0634, s2.loss_mask: 0.0490, loss: 1.2643 2022-09-12 16:19:34,241 - mmdet - INFO - Epoch [5][2300/7330] lr: 1.000e-04, eta: 3 days, 15:26:30, time: 1.364, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.2297, s0.loss_cls: 0.1771, s0.acc: 93.7896, s0.loss_bbox: 0.0991, s0.loss_mask: 0.2165, s1.loss_cls: 0.0837, s1.acc: 94.1255, s1.loss_bbox: 0.1015, s1.loss_mask: 0.1010, s2.loss_cls: 0.0421, s2.acc: 93.9109, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0472, loss: 1.2212 2022-09-12 16:20:41,855 - mmdet - INFO - Epoch [5][2350/7330] lr: 1.000e-04, eta: 3 days, 15:25:21, time: 1.352, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0359, loss_semantic_seg: 0.2212, s0.loss_cls: 0.1864, s0.acc: 93.5742, s0.loss_bbox: 0.0993, s0.loss_mask: 0.2145, s1.loss_cls: 0.0892, s1.acc: 93.8400, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1003, s2.loss_cls: 0.0446, s2.acc: 93.7012, s2.loss_bbox: 0.0647, s2.loss_mask: 0.0468, loss: 1.2341 2022-09-12 16:21:49,999 - mmdet - INFO - Epoch [5][2400/7330] lr: 1.000e-04, eta: 3 days, 15:24:16, time: 1.363, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0341, loss_semantic_seg: 0.2254, s0.loss_cls: 0.1845, s0.acc: 93.5830, s0.loss_bbox: 0.0993, s0.loss_mask: 0.2189, s1.loss_cls: 0.0881, s1.acc: 93.8882, s1.loss_bbox: 0.1017, s1.loss_mask: 0.1018, s2.loss_cls: 0.0436, s2.acc: 93.8065, s2.loss_bbox: 0.0639, s2.loss_mask: 0.0480, loss: 1.2388 2022-09-12 16:22:58,450 - mmdet - INFO - Epoch [5][2450/7330] lr: 1.000e-04, eta: 3 days, 15:23:13, time: 1.369, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0349, loss_semantic_seg: 0.2221, s0.loss_cls: 0.1877, s0.acc: 93.5076, s0.loss_bbox: 0.1022, s0.loss_mask: 0.2204, s1.loss_cls: 0.0893, s1.acc: 93.8425, s1.loss_bbox: 0.1053, s1.loss_mask: 0.1016, s2.loss_cls: 0.0446, s2.acc: 93.6625, s2.loss_bbox: 0.0649, s2.loss_mask: 0.0477, loss: 1.2516 2022-09-12 16:24:05,509 - mmdet - INFO - Epoch [5][2500/7330] lr: 1.000e-04, eta: 3 days, 15:22:00, time: 1.341, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0362, loss_semantic_seg: 0.2232, s0.loss_cls: 0.1896, s0.acc: 93.3953, s0.loss_bbox: 0.1066, s0.loss_mask: 0.2298, s1.loss_cls: 0.0901, s1.acc: 93.7110, s1.loss_bbox: 0.1098, s1.loss_mask: 0.1081, s2.loss_cls: 0.0447, s2.acc: 93.5659, s2.loss_bbox: 0.0652, s2.loss_mask: 0.0509, loss: 1.2847 2022-09-12 16:25:14,681 - mmdet - INFO - Epoch [5][2550/7330] lr: 1.000e-04, eta: 3 days, 15:21:03, time: 1.383, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0360, loss_semantic_seg: 0.2225, s0.loss_cls: 0.1852, s0.acc: 93.5332, s0.loss_bbox: 0.1008, s0.loss_mask: 0.2225, s1.loss_cls: 0.0902, s1.acc: 93.7136, s1.loss_bbox: 0.1044, s1.loss_mask: 0.1028, s2.loss_cls: 0.0453, s2.acc: 93.6583, s2.loss_bbox: 0.0640, s2.loss_mask: 0.0481, loss: 1.2516 2022-09-12 16:26:23,385 - mmdet - INFO - Epoch [5][2600/7330] lr: 1.000e-04, eta: 3 days, 15:20:02, time: 1.374, data_time: 0.029, memory: 64751, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0359, loss_semantic_seg: 0.2297, s0.loss_cls: 0.1975, s0.acc: 93.2908, s0.loss_bbox: 0.1020, s0.loss_mask: 0.2216, s1.loss_cls: 0.0959, s1.acc: 93.4716, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1029, s2.loss_cls: 0.0476, s2.acc: 93.3322, s2.loss_bbox: 0.0655, s2.loss_mask: 0.0481, loss: 1.2830 2022-09-12 16:27:31,247 - mmdet - INFO - Epoch [5][2650/7330] lr: 1.000e-04, eta: 3 days, 15:18:55, time: 1.357, data_time: 0.029, memory: 64751, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2279, s0.loss_cls: 0.1846, s0.acc: 93.6536, s0.loss_bbox: 0.1000, s0.loss_mask: 0.2230, s1.loss_cls: 0.0883, s1.acc: 93.9099, s1.loss_bbox: 0.1054, s1.loss_mask: 0.1035, s2.loss_cls: 0.0444, s2.acc: 93.7294, s2.loss_bbox: 0.0647, s2.loss_mask: 0.0485, loss: 1.2543 2022-09-12 16:28:39,214 - mmdet - INFO - Epoch [5][2700/7330] lr: 1.000e-04, eta: 3 days, 15:17:48, time: 1.360, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0336, loss_semantic_seg: 0.2258, s0.loss_cls: 0.1870, s0.acc: 93.5464, s0.loss_bbox: 0.1004, s0.loss_mask: 0.2224, s1.loss_cls: 0.0902, s1.acc: 93.7634, s1.loss_bbox: 0.1044, s1.loss_mask: 0.1023, s2.loss_cls: 0.0444, s2.acc: 93.6523, s2.loss_bbox: 0.0624, s2.loss_mask: 0.0478, loss: 1.2491 2022-09-12 16:29:48,034 - mmdet - INFO - Epoch [5][2750/7330] lr: 1.000e-04, eta: 3 days, 15:16:48, time: 1.376, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0338, loss_semantic_seg: 0.2257, s0.loss_cls: 0.1748, s0.acc: 93.8967, s0.loss_bbox: 0.0976, s0.loss_mask: 0.2211, s1.loss_cls: 0.0838, s1.acc: 94.0637, s1.loss_bbox: 0.1017, s1.loss_mask: 0.1028, s2.loss_cls: 0.0417, s2.acc: 94.0015, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0478, loss: 1.2195 2022-09-12 16:30:56,222 - mmdet - INFO - Epoch [5][2800/7330] lr: 1.000e-04, eta: 3 days, 15:15:43, time: 1.364, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.2292, s0.loss_cls: 0.1764, s0.acc: 93.8479, s0.loss_bbox: 0.0977, s0.loss_mask: 0.2197, s1.loss_cls: 0.0848, s1.acc: 94.0990, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1025, s2.loss_cls: 0.0429, s2.acc: 93.8481, s2.loss_bbox: 0.0634, s2.loss_mask: 0.0482, loss: 1.2299 2022-09-12 16:32:05,480 - mmdet - INFO - Epoch [5][2850/7330] lr: 1.000e-04, eta: 3 days, 15:14:46, time: 1.385, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0329, loss_semantic_seg: 0.2200, s0.loss_cls: 0.1786, s0.acc: 93.6873, s0.loss_bbox: 0.0961, s0.loss_mask: 0.2149, s1.loss_cls: 0.0850, s1.acc: 94.0639, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1005, s2.loss_cls: 0.0430, s2.acc: 93.9039, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0475, loss: 1.2068 2022-09-12 16:33:14,870 - mmdet - INFO - Epoch [5][2900/7330] lr: 1.000e-04, eta: 3 days, 15:13:50, time: 1.388, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0341, loss_semantic_seg: 0.2290, s0.loss_cls: 0.1866, s0.acc: 93.3816, s0.loss_bbox: 0.1011, s0.loss_mask: 0.2254, s1.loss_cls: 0.0907, s1.acc: 93.5798, s1.loss_bbox: 0.1050, s1.loss_mask: 0.1050, s2.loss_cls: 0.0459, s2.acc: 93.3003, s2.loss_bbox: 0.0645, s2.loss_mask: 0.0490, loss: 1.2665 2022-09-12 16:34:22,882 - mmdet - INFO - Epoch [5][2950/7330] lr: 1.000e-04, eta: 3 days, 15:12:44, time: 1.360, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0337, loss_semantic_seg: 0.2349, s0.loss_cls: 0.1901, s0.acc: 93.4182, s0.loss_bbox: 0.1004, s0.loss_mask: 0.2222, s1.loss_cls: 0.0909, s1.acc: 93.6817, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1036, s2.loss_cls: 0.0453, s2.acc: 93.5530, s2.loss_bbox: 0.0625, s2.loss_mask: 0.0485, loss: 1.2622 2022-09-12 16:35:31,400 - mmdet - INFO - Epoch [5][3000/7330] lr: 1.000e-04, eta: 3 days, 15:11:41, time: 1.370, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0342, loss_semantic_seg: 0.2284, s0.loss_cls: 0.1817, s0.acc: 93.8857, s0.loss_bbox: 0.0989, s0.loss_mask: 0.2184, s1.loss_cls: 0.0865, s1.acc: 94.2001, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1019, s2.loss_cls: 0.0430, s2.acc: 94.0856, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0475, loss: 1.2366 2022-09-12 16:36:38,536 - mmdet - INFO - Epoch [5][3050/7330] lr: 1.000e-04, eta: 3 days, 15:10:29, time: 1.343, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.2251, s0.loss_cls: 0.1750, s0.acc: 93.9231, s0.loss_bbox: 0.0961, s0.loss_mask: 0.2175, s1.loss_cls: 0.0835, s1.acc: 94.2304, s1.loss_bbox: 0.0997, s1.loss_mask: 0.1013, s2.loss_cls: 0.0422, s2.acc: 94.0403, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0471, loss: 1.2095 2022-09-12 16:37:46,665 - mmdet - INFO - Epoch [5][3100/7330] lr: 1.000e-04, eta: 3 days, 15:09:24, time: 1.363, data_time: 0.016, memory: 64751, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2172, s0.loss_cls: 0.1857, s0.acc: 93.6697, s0.loss_bbox: 0.1016, s0.loss_mask: 0.2219, s1.loss_cls: 0.0901, s1.acc: 93.8522, s1.loss_bbox: 0.1066, s1.loss_mask: 0.1030, s2.loss_cls: 0.0449, s2.acc: 93.6692, s2.loss_bbox: 0.0638, s2.loss_mask: 0.0482, loss: 1.2483 2022-09-12 16:38:54,228 - mmdet - INFO - Epoch [5][3150/7330] lr: 1.000e-04, eta: 3 days, 15:08:14, time: 1.351, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0336, loss_semantic_seg: 0.2235, s0.loss_cls: 0.1773, s0.acc: 93.8867, s0.loss_bbox: 0.0995, s0.loss_mask: 0.2159, s1.loss_cls: 0.0848, s1.acc: 94.1032, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1007, s2.loss_cls: 0.0428, s2.acc: 93.9301, s2.loss_bbox: 0.0634, s2.loss_mask: 0.0474, loss: 1.2207 2022-09-12 16:40:01,709 - mmdet - INFO - Epoch [5][3200/7330] lr: 1.000e-04, eta: 3 days, 15:07:03, time: 1.345, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2280, s0.loss_cls: 0.1743, s0.acc: 93.9443, s0.loss_bbox: 0.0976, s0.loss_mask: 0.2183, s1.loss_cls: 0.0833, s1.acc: 94.2345, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1017, s2.loss_cls: 0.0423, s2.acc: 94.0496, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0475, loss: 1.2163 2022-09-12 16:41:09,342 - mmdet - INFO - Epoch [5][3250/7330] lr: 1.000e-04, eta: 3 days, 15:05:56, time: 1.358, data_time: 0.028, memory: 64751, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2266, s0.loss_cls: 0.1790, s0.acc: 93.7351, s0.loss_bbox: 0.0984, s0.loss_mask: 0.2108, s1.loss_cls: 0.0855, s1.acc: 94.0372, s1.loss_bbox: 0.1020, s1.loss_mask: 0.0982, s2.loss_cls: 0.0437, s2.acc: 93.8292, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0459, loss: 1.2135 2022-09-12 16:42:18,696 - mmdet - INFO - Epoch [5][3300/7330] lr: 1.000e-04, eta: 3 days, 15:04:59, time: 1.387, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0343, loss_semantic_seg: 0.2180, s0.loss_cls: 0.1852, s0.acc: 93.6333, s0.loss_bbox: 0.1029, s0.loss_mask: 0.2247, s1.loss_cls: 0.0880, s1.acc: 93.8536, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1050, s2.loss_cls: 0.0444, s2.acc: 93.6995, s2.loss_bbox: 0.0641, s2.loss_mask: 0.0493, loss: 1.2533 2022-09-12 16:43:26,597 - mmdet - INFO - Epoch [5][3350/7330] lr: 1.000e-04, eta: 3 days, 15:03:52, time: 1.358, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0344, loss_semantic_seg: 0.2277, s0.loss_cls: 0.1901, s0.acc: 93.4214, s0.loss_bbox: 0.1034, s0.loss_mask: 0.2222, s1.loss_cls: 0.0918, s1.acc: 93.5798, s1.loss_bbox: 0.1055, s1.loss_mask: 0.1036, s2.loss_cls: 0.0456, s2.acc: 93.4678, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0482, loss: 1.2653 2022-09-12 16:44:34,998 - mmdet - INFO - Epoch [5][3400/7330] lr: 1.000e-04, eta: 3 days, 15:02:49, time: 1.368, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0338, loss_semantic_seg: 0.2237, s0.loss_cls: 0.1793, s0.acc: 93.6626, s0.loss_bbox: 0.0974, s0.loss_mask: 0.2222, s1.loss_cls: 0.0867, s1.acc: 93.9047, s1.loss_bbox: 0.1044, s1.loss_mask: 0.1035, s2.loss_cls: 0.0430, s2.acc: 93.8685, s2.loss_bbox: 0.0636, s2.loss_mask: 0.0491, loss: 1.2363 2022-09-12 16:45:42,819 - mmdet - INFO - Epoch [5][3450/7330] lr: 1.000e-04, eta: 3 days, 15:01:41, time: 1.357, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.2117, s0.loss_cls: 0.1782, s0.acc: 93.7842, s0.loss_bbox: 0.0962, s0.loss_mask: 0.2239, s1.loss_cls: 0.0849, s1.acc: 94.0306, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1040, s2.loss_cls: 0.0420, s2.acc: 93.9517, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0490, loss: 1.2177 2022-09-12 16:46:51,168 - mmdet - INFO - Epoch [5][3500/7330] lr: 1.000e-04, eta: 3 days, 15:00:37, time: 1.365, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0342, loss_semantic_seg: 0.2204, s0.loss_cls: 0.1833, s0.acc: 93.5632, s0.loss_bbox: 0.1018, s0.loss_mask: 0.2216, s1.loss_cls: 0.0879, s1.acc: 93.7790, s1.loss_bbox: 0.1041, s1.loss_mask: 0.1021, s2.loss_cls: 0.0449, s2.acc: 93.5279, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0478, loss: 1.2428 2022-09-12 16:47:59,031 - mmdet - INFO - Epoch [5][3550/7330] lr: 1.000e-04, eta: 3 days, 14:59:30, time: 1.359, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0340, loss_semantic_seg: 0.2206, s0.loss_cls: 0.1771, s0.acc: 93.8135, s0.loss_bbox: 0.0977, s0.loss_mask: 0.2220, s1.loss_cls: 0.0853, s1.acc: 94.0540, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1042, s2.loss_cls: 0.0426, s2.acc: 93.8963, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0488, loss: 1.2218 2022-09-12 16:49:06,519 - mmdet - INFO - Epoch [5][3600/7330] lr: 1.000e-04, eta: 3 days, 14:58:20, time: 1.350, data_time: 0.029, memory: 64751, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0341, loss_semantic_seg: 0.2291, s0.loss_cls: 0.1804, s0.acc: 93.7778, s0.loss_bbox: 0.0989, s0.loss_mask: 0.2196, s1.loss_cls: 0.0858, s1.acc: 94.0978, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1023, s2.loss_cls: 0.0423, s2.acc: 94.0149, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0476, loss: 1.2340 2022-09-12 16:50:15,238 - mmdet - INFO - Epoch [5][3650/7330] lr: 1.000e-04, eta: 3 days, 14:57:19, time: 1.374, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0351, loss_semantic_seg: 0.2245, s0.loss_cls: 0.1807, s0.acc: 93.6660, s0.loss_bbox: 0.1025, s0.loss_mask: 0.2236, s1.loss_cls: 0.0864, s1.acc: 93.8967, s1.loss_bbox: 0.1053, s1.loss_mask: 0.1038, s2.loss_cls: 0.0439, s2.acc: 93.6542, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0484, loss: 1.2478 2022-09-12 16:51:21,959 - mmdet - INFO - Epoch [5][3700/7330] lr: 1.000e-04, eta: 3 days, 14:56:04, time: 1.334, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2292, s0.loss_cls: 0.1696, s0.acc: 94.0569, s0.loss_bbox: 0.0961, s0.loss_mask: 0.2120, s1.loss_cls: 0.0809, s1.acc: 94.3729, s1.loss_bbox: 0.1003, s1.loss_mask: 0.0991, s2.loss_cls: 0.0409, s2.acc: 94.2658, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0469, loss: 1.2005 2022-09-12 16:52:29,408 - mmdet - INFO - Epoch [5][3750/7330] lr: 1.000e-04, eta: 3 days, 14:54:54, time: 1.349, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0349, loss_semantic_seg: 0.2225, s0.loss_cls: 0.1748, s0.acc: 93.9307, s0.loss_bbox: 0.0982, s0.loss_mask: 0.2217, s1.loss_cls: 0.0832, s1.acc: 94.1545, s1.loss_bbox: 0.1010, s1.loss_mask: 0.1039, s2.loss_cls: 0.0418, s2.acc: 94.0102, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0481, loss: 1.2201 2022-09-12 16:53:36,298 - mmdet - INFO - Epoch [5][3800/7330] lr: 1.000e-04, eta: 3 days, 14:53:40, time: 1.338, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2092, s0.loss_cls: 0.1712, s0.acc: 94.0205, s0.loss_bbox: 0.0964, s0.loss_mask: 0.2150, s1.loss_cls: 0.0824, s1.acc: 94.1881, s1.loss_bbox: 0.1003, s1.loss_mask: 0.1003, s2.loss_cls: 0.0414, s2.acc: 94.0579, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0471, loss: 1.1824 2022-09-12 16:54:44,782 - mmdet - INFO - Epoch [5][3850/7330] lr: 1.000e-04, eta: 3 days, 14:52:37, time: 1.370, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2297, s0.loss_cls: 0.1730, s0.acc: 93.9473, s0.loss_bbox: 0.0947, s0.loss_mask: 0.2133, s1.loss_cls: 0.0823, s1.acc: 94.2253, s1.loss_bbox: 0.0986, s1.loss_mask: 0.1005, s2.loss_cls: 0.0407, s2.acc: 94.2208, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0472, loss: 1.2009 2022-09-12 16:55:53,172 - mmdet - INFO - Epoch [5][3900/7330] lr: 1.000e-04, eta: 3 days, 14:51:33, time: 1.368, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0344, loss_semantic_seg: 0.2276, s0.loss_cls: 0.1820, s0.acc: 93.6279, s0.loss_bbox: 0.1000, s0.loss_mask: 0.2182, s1.loss_cls: 0.0880, s1.acc: 93.8261, s1.loss_bbox: 0.1046, s1.loss_mask: 0.1016, s2.loss_cls: 0.0435, s2.acc: 93.7056, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0478, loss: 1.2398 2022-09-12 16:57:01,136 - mmdet - INFO - Epoch [5][3950/7330] lr: 1.000e-04, eta: 3 days, 14:50:27, time: 1.359, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.2111, s0.loss_cls: 0.1740, s0.acc: 93.8591, s0.loss_bbox: 0.0969, s0.loss_mask: 0.2182, s1.loss_cls: 0.0813, s1.acc: 94.2654, s1.loss_bbox: 0.0994, s1.loss_mask: 0.1018, s2.loss_cls: 0.0407, s2.acc: 94.1868, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0477, loss: 1.1936 2022-09-12 16:58:09,628 - mmdet - INFO - Epoch [5][4000/7330] lr: 1.000e-04, eta: 3 days, 14:49:23, time: 1.368, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0331, loss_semantic_seg: 0.2189, s0.loss_cls: 0.1725, s0.acc: 94.0273, s0.loss_bbox: 0.0978, s0.loss_mask: 0.2173, s1.loss_cls: 0.0818, s1.acc: 94.3310, s1.loss_bbox: 0.1014, s1.loss_mask: 0.1017, s2.loss_cls: 0.0415, s2.acc: 94.1106, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0474, loss: 1.2027 2022-09-12 16:59:17,583 - mmdet - INFO - Epoch [5][4050/7330] lr: 1.000e-04, eta: 3 days, 14:48:17, time: 1.360, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0329, loss_semantic_seg: 0.2266, s0.loss_cls: 0.1740, s0.acc: 94.0515, s0.loss_bbox: 0.0959, s0.loss_mask: 0.2175, s1.loss_cls: 0.0830, s1.acc: 94.2359, s1.loss_bbox: 0.0972, s1.loss_mask: 0.1011, s2.loss_cls: 0.0413, s2.acc: 94.1787, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0473, loss: 1.2011 2022-09-12 17:00:25,891 - mmdet - INFO - Epoch [5][4100/7330] lr: 1.000e-04, eta: 3 days, 14:47:13, time: 1.367, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0341, loss_semantic_seg: 0.2259, s0.loss_cls: 0.1851, s0.acc: 93.4231, s0.loss_bbox: 0.1018, s0.loss_mask: 0.2246, s1.loss_cls: 0.0890, s1.acc: 93.6865, s1.loss_bbox: 0.1079, s1.loss_mask: 0.1046, s2.loss_cls: 0.0443, s2.acc: 93.6189, s2.loss_bbox: 0.0654, s2.loss_mask: 0.0487, loss: 1.2580 2022-09-12 17:01:33,805 - mmdet - INFO - Epoch [5][4150/7330] lr: 1.000e-04, eta: 3 days, 14:46:06, time: 1.358, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2267, s0.loss_cls: 0.1741, s0.acc: 93.9575, s0.loss_bbox: 0.0955, s0.loss_mask: 0.2192, s1.loss_cls: 0.0835, s1.acc: 94.1694, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1023, s2.loss_cls: 0.0419, s2.acc: 94.0038, s2.loss_bbox: 0.0628, s2.loss_mask: 0.0482, loss: 1.2166 2022-09-12 17:02:41,530 - mmdet - INFO - Epoch [5][4200/7330] lr: 1.000e-04, eta: 3 days, 14:44:58, time: 1.355, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2239, s0.loss_cls: 0.1666, s0.acc: 94.1411, s0.loss_bbox: 0.0896, s0.loss_mask: 0.2226, s1.loss_cls: 0.0803, s1.acc: 94.3896, s1.loss_bbox: 0.0966, s1.loss_mask: 0.1040, s2.loss_cls: 0.0409, s2.acc: 94.1115, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0485, loss: 1.1924 2022-09-12 17:03:49,152 - mmdet - INFO - Epoch [5][4250/7330] lr: 1.000e-04, eta: 3 days, 14:43:49, time: 1.352, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0354, loss_semantic_seg: 0.2275, s0.loss_cls: 0.1821, s0.acc: 93.7292, s0.loss_bbox: 0.0987, s0.loss_mask: 0.2220, s1.loss_cls: 0.0887, s1.acc: 93.8499, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1041, s2.loss_cls: 0.0446, s2.acc: 93.7245, s2.loss_bbox: 0.0632, s2.loss_mask: 0.0492, loss: 1.2472 2022-09-12 17:04:57,178 - mmdet - INFO - Epoch [5][4300/7330] lr: 1.000e-04, eta: 3 days, 14:42:43, time: 1.361, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.2166, s0.loss_cls: 0.1723, s0.acc: 93.9492, s0.loss_bbox: 0.0966, s0.loss_mask: 0.2169, s1.loss_cls: 0.0813, s1.acc: 94.3024, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1014, s2.loss_cls: 0.0410, s2.acc: 94.0974, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0473, loss: 1.1948 2022-09-12 17:06:04,539 - mmdet - INFO - Epoch [5][4350/7330] lr: 1.000e-04, eta: 3 days, 14:41:32, time: 1.347, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0350, loss_semantic_seg: 0.2349, s0.loss_cls: 0.1815, s0.acc: 93.7000, s0.loss_bbox: 0.1000, s0.loss_mask: 0.2199, s1.loss_cls: 0.0873, s1.acc: 93.9194, s1.loss_bbox: 0.1048, s1.loss_mask: 0.1021, s2.loss_cls: 0.0440, s2.acc: 93.6802, s2.loss_bbox: 0.0632, s2.loss_mask: 0.0475, loss: 1.2474 2022-09-12 17:07:12,786 - mmdet - INFO - Epoch [5][4400/7330] lr: 1.000e-04, eta: 3 days, 14:40:27, time: 1.363, data_time: 0.029, memory: 64751, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2251, s0.loss_cls: 0.1775, s0.acc: 93.8799, s0.loss_bbox: 0.0958, s0.loss_mask: 0.2155, s1.loss_cls: 0.0850, s1.acc: 94.1182, s1.loss_bbox: 0.1002, s1.loss_mask: 0.1006, s2.loss_cls: 0.0425, s2.acc: 93.9783, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0468, loss: 1.2098 2022-09-12 17:08:20,783 - mmdet - INFO - Epoch [5][4450/7330] lr: 1.000e-04, eta: 3 days, 14:39:21, time: 1.362, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.2291, s0.loss_cls: 0.1688, s0.acc: 94.1548, s0.loss_bbox: 0.0923, s0.loss_mask: 0.2158, s1.loss_cls: 0.0811, s1.acc: 94.4693, s1.loss_bbox: 0.0964, s1.loss_mask: 0.1011, s2.loss_cls: 0.0405, s2.acc: 94.3529, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0477, loss: 1.1888 2022-09-12 17:09:28,857 - mmdet - INFO - Epoch [5][4500/7330] lr: 1.000e-04, eta: 3 days, 14:38:16, time: 1.362, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2133, s0.loss_cls: 0.1724, s0.acc: 93.9468, s0.loss_bbox: 0.0990, s0.loss_mask: 0.2192, s1.loss_cls: 0.0826, s1.acc: 94.1964, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1023, s2.loss_cls: 0.0416, s2.acc: 94.0531, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0479, loss: 1.2055 2022-09-12 17:10:37,351 - mmdet - INFO - Epoch [5][4550/7330] lr: 1.000e-04, eta: 3 days, 14:37:13, time: 1.370, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2365, s0.loss_cls: 0.1706, s0.acc: 94.1802, s0.loss_bbox: 0.0921, s0.loss_mask: 0.2284, s1.loss_cls: 0.0821, s1.acc: 94.3785, s1.loss_bbox: 0.0958, s1.loss_mask: 0.1049, s2.loss_cls: 0.0411, s2.acc: 94.1710, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0492, loss: 1.2199 2022-09-12 17:11:45,713 - mmdet - INFO - Epoch [5][4600/7330] lr: 1.000e-04, eta: 3 days, 14:36:09, time: 1.367, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2198, s0.loss_cls: 0.1764, s0.acc: 93.8936, s0.loss_bbox: 0.0960, s0.loss_mask: 0.2192, s1.loss_cls: 0.0851, s1.acc: 94.0650, s1.loss_bbox: 0.1008, s1.loss_mask: 0.1018, s2.loss_cls: 0.0433, s2.acc: 93.8802, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0481, loss: 1.2139 2022-09-12 17:12:53,221 - mmdet - INFO - Epoch [5][4650/7330] lr: 1.000e-04, eta: 3 days, 14:34:59, time: 1.350, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2147, s0.loss_cls: 0.1725, s0.acc: 93.9600, s0.loss_bbox: 0.0966, s0.loss_mask: 0.2254, s1.loss_cls: 0.0833, s1.acc: 94.1164, s1.loss_bbox: 0.1011, s1.loss_mask: 0.1048, s2.loss_cls: 0.0419, s2.acc: 93.8817, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0488, loss: 1.2099 2022-09-12 17:14:01,005 - mmdet - INFO - Epoch [5][4700/7330] lr: 1.000e-04, eta: 3 days, 14:33:51, time: 1.356, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0345, loss_semantic_seg: 0.2263, s0.loss_cls: 0.1749, s0.acc: 93.8984, s0.loss_bbox: 0.0945, s0.loss_mask: 0.2158, s1.loss_cls: 0.0840, s1.acc: 94.1016, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1008, s2.loss_cls: 0.0421, s2.acc: 93.9508, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0476, loss: 1.2057 2022-09-12 17:15:09,139 - mmdet - INFO - Epoch [5][4750/7330] lr: 1.000e-04, eta: 3 days, 14:32:46, time: 1.363, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0347, loss_semantic_seg: 0.2223, s0.loss_cls: 0.1762, s0.acc: 93.8535, s0.loss_bbox: 0.0977, s0.loss_mask: 0.2229, s1.loss_cls: 0.0848, s1.acc: 94.1211, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1045, s2.loss_cls: 0.0426, s2.acc: 93.9169, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0490, loss: 1.2249 2022-09-12 17:16:17,286 - mmdet - INFO - Epoch [5][4800/7330] lr: 1.000e-04, eta: 3 days, 14:31:40, time: 1.363, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2126, s0.loss_cls: 0.1711, s0.acc: 93.9600, s0.loss_bbox: 0.0972, s0.loss_mask: 0.2231, s1.loss_cls: 0.0815, s1.acc: 94.1688, s1.loss_bbox: 0.1025, s1.loss_mask: 0.1039, s2.loss_cls: 0.0406, s2.acc: 94.0659, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0484, loss: 1.2019 2022-09-12 17:17:24,110 - mmdet - INFO - Epoch [5][4850/7330] lr: 1.000e-04, eta: 3 days, 14:30:26, time: 1.336, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.2267, s0.loss_cls: 0.1714, s0.acc: 94.0850, s0.loss_bbox: 0.0906, s0.loss_mask: 0.2117, s1.loss_cls: 0.0825, s1.acc: 94.3329, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0982, s2.loss_cls: 0.0414, s2.acc: 94.2544, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0454, loss: 1.1720 2022-09-12 17:18:32,183 - mmdet - INFO - Epoch [5][4900/7330] lr: 1.000e-04, eta: 3 days, 14:29:20, time: 1.362, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0329, loss_semantic_seg: 0.2142, s0.loss_cls: 0.1737, s0.acc: 93.9065, s0.loss_bbox: 0.0942, s0.loss_mask: 0.2139, s1.loss_cls: 0.0831, s1.acc: 94.0581, s1.loss_bbox: 0.0994, s1.loss_mask: 0.1000, s2.loss_cls: 0.0421, s2.acc: 93.8391, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0471, loss: 1.1898 2022-09-12 17:19:40,560 - mmdet - INFO - Epoch [5][4950/7330] lr: 1.000e-04, eta: 3 days, 14:28:16, time: 1.366, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2166, s0.loss_cls: 0.1744, s0.acc: 93.8987, s0.loss_bbox: 0.0965, s0.loss_mask: 0.2194, s1.loss_cls: 0.0844, s1.acc: 94.1148, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1030, s2.loss_cls: 0.0426, s2.acc: 93.9697, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0480, loss: 1.2085 2022-09-12 17:20:48,389 - mmdet - INFO - Epoch [5][5000/7330] lr: 1.000e-04, eta: 3 days, 14:27:09, time: 1.358, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2202, s0.loss_cls: 0.1741, s0.acc: 93.8943, s0.loss_bbox: 0.0999, s0.loss_mask: 0.2158, s1.loss_cls: 0.0826, s1.acc: 94.1994, s1.loss_bbox: 0.1013, s1.loss_mask: 0.1004, s2.loss_cls: 0.0413, s2.acc: 94.0473, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0471, loss: 1.2035 2022-09-12 17:21:57,415 - mmdet - INFO - Epoch [5][5050/7330] lr: 1.000e-04, eta: 3 days, 14:26:09, time: 1.381, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2222, s0.loss_cls: 0.1700, s0.acc: 94.0728, s0.loss_bbox: 0.0934, s0.loss_mask: 0.2136, s1.loss_cls: 0.0810, s1.acc: 94.4122, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0989, s2.loss_cls: 0.0410, s2.acc: 94.1782, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0457, loss: 1.1803 2022-09-12 17:23:04,728 - mmdet - INFO - Epoch [5][5100/7330] lr: 1.000e-04, eta: 3 days, 14:24:58, time: 1.345, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0335, loss_semantic_seg: 0.2148, s0.loss_cls: 0.1792, s0.acc: 93.6267, s0.loss_bbox: 0.1016, s0.loss_mask: 0.2191, s1.loss_cls: 0.0855, s1.acc: 93.9383, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1020, s2.loss_cls: 0.0436, s2.acc: 93.7833, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0476, loss: 1.2244 2022-09-12 17:24:12,950 - mmdet - INFO - Epoch [5][5150/7330] lr: 1.000e-04, eta: 3 days, 14:23:54, time: 1.366, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2304, s0.loss_cls: 0.1719, s0.acc: 94.0806, s0.loss_bbox: 0.0906, s0.loss_mask: 0.2149, s1.loss_cls: 0.0822, s1.acc: 94.2890, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0996, s2.loss_cls: 0.0408, s2.acc: 94.2352, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0467, loss: 1.1849 2022-09-12 17:25:20,593 - mmdet - INFO - Epoch [5][5200/7330] lr: 1.000e-04, eta: 3 days, 14:22:45, time: 1.353, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2266, s0.loss_cls: 0.1789, s0.acc: 93.8188, s0.loss_bbox: 0.0957, s0.loss_mask: 0.2179, s1.loss_cls: 0.0855, s1.acc: 94.0753, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1028, s2.loss_cls: 0.0430, s2.acc: 93.9325, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0483, loss: 1.2179 2022-09-12 17:26:28,154 - mmdet - INFO - Epoch [5][5250/7330] lr: 1.000e-04, eta: 3 days, 14:21:35, time: 1.351, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2219, s0.loss_cls: 0.1746, s0.acc: 93.9224, s0.loss_bbox: 0.0927, s0.loss_mask: 0.2133, s1.loss_cls: 0.0840, s1.acc: 94.1649, s1.loss_bbox: 0.0963, s1.loss_mask: 0.0998, s2.loss_cls: 0.0418, s2.acc: 94.1136, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0467, loss: 1.1929 2022-09-12 17:27:36,823 - mmdet - INFO - Epoch [5][5300/7330] lr: 1.000e-04, eta: 3 days, 14:20:33, time: 1.372, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0356, loss_semantic_seg: 0.2227, s0.loss_cls: 0.1845, s0.acc: 93.5078, s0.loss_bbox: 0.1031, s0.loss_mask: 0.2234, s1.loss_cls: 0.0877, s1.acc: 93.8171, s1.loss_bbox: 0.1058, s1.loss_mask: 0.1038, s2.loss_cls: 0.0440, s2.acc: 93.7795, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0487, loss: 1.2538 2022-09-12 17:28:46,134 - mmdet - INFO - Epoch [5][5350/7330] lr: 1.000e-04, eta: 3 days, 14:19:35, time: 1.386, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0352, loss_semantic_seg: 0.2173, s0.loss_cls: 0.1738, s0.acc: 93.8801, s0.loss_bbox: 0.0962, s0.loss_mask: 0.2157, s1.loss_cls: 0.0840, s1.acc: 94.1374, s1.loss_bbox: 0.0995, s1.loss_mask: 0.1012, s2.loss_cls: 0.0416, s2.acc: 93.9947, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0477, loss: 1.2049 2022-09-12 17:29:54,310 - mmdet - INFO - Epoch [5][5400/7330] lr: 1.000e-04, eta: 3 days, 14:18:30, time: 1.365, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2143, s0.loss_cls: 0.1758, s0.acc: 93.8894, s0.loss_bbox: 0.0943, s0.loss_mask: 0.2151, s1.loss_cls: 0.0840, s1.acc: 94.1574, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1004, s2.loss_cls: 0.0423, s2.acc: 93.9431, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0473, loss: 1.1938 2022-09-12 17:31:01,669 - mmdet - INFO - Epoch [5][5450/7330] lr: 1.000e-04, eta: 3 days, 14:17:20, time: 1.347, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.2178, s0.loss_cls: 0.1615, s0.acc: 94.3269, s0.loss_bbox: 0.0907, s0.loss_mask: 0.2146, s1.loss_cls: 0.0787, s1.acc: 94.4391, s1.loss_bbox: 0.0950, s1.loss_mask: 0.1005, s2.loss_cls: 0.0394, s2.acc: 94.3217, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0471, loss: 1.1600 2022-09-12 17:32:08,893 - mmdet - INFO - Epoch [5][5500/7330] lr: 1.000e-04, eta: 3 days, 14:16:08, time: 1.344, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2218, s0.loss_cls: 0.1665, s0.acc: 94.2166, s0.loss_bbox: 0.0905, s0.loss_mask: 0.2133, s1.loss_cls: 0.0804, s1.acc: 94.4464, s1.loss_bbox: 0.0969, s1.loss_mask: 0.0994, s2.loss_cls: 0.0409, s2.acc: 94.2391, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0466, loss: 1.1737 2022-09-12 17:33:16,896 - mmdet - INFO - Epoch [5][5550/7330] lr: 1.000e-04, eta: 3 days, 14:15:02, time: 1.360, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2263, s0.loss_cls: 0.1763, s0.acc: 93.9128, s0.loss_bbox: 0.0969, s0.loss_mask: 0.2150, s1.loss_cls: 0.0839, s1.acc: 94.2465, s1.loss_bbox: 0.1016, s1.loss_mask: 0.1003, s2.loss_cls: 0.0423, s2.acc: 94.0624, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0471, loss: 1.2117 2022-09-12 17:34:24,423 - mmdet - INFO - Epoch [5][5600/7330] lr: 1.000e-04, eta: 3 days, 14:13:52, time: 1.351, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2213, s0.loss_cls: 0.1820, s0.acc: 93.7856, s0.loss_bbox: 0.0968, s0.loss_mask: 0.2165, s1.loss_cls: 0.0865, s1.acc: 94.0740, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1006, s2.loss_cls: 0.0431, s2.acc: 93.9861, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0468, loss: 1.2136 2022-09-12 17:35:32,203 - mmdet - INFO - Epoch [5][5650/7330] lr: 1.000e-04, eta: 3 days, 14:12:44, time: 1.356, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2240, s0.loss_cls: 0.1785, s0.acc: 93.7922, s0.loss_bbox: 0.0979, s0.loss_mask: 0.2206, s1.loss_cls: 0.0850, s1.acc: 94.0666, s1.loss_bbox: 0.1023, s1.loss_mask: 0.1035, s2.loss_cls: 0.0426, s2.acc: 93.8168, s2.loss_bbox: 0.0611, s2.loss_mask: 0.0488, loss: 1.2253 2022-09-12 17:36:39,551 - mmdet - INFO - Epoch [5][5700/7330] lr: 1.000e-04, eta: 3 days, 14:11:34, time: 1.347, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2212, s0.loss_cls: 0.1758, s0.acc: 93.9175, s0.loss_bbox: 0.0958, s0.loss_mask: 0.2157, s1.loss_cls: 0.0841, s1.acc: 94.0371, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1009, s2.loss_cls: 0.0413, s2.acc: 94.0648, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0472, loss: 1.2017 2022-09-12 17:37:47,357 - mmdet - INFO - Epoch [5][5750/7330] lr: 1.000e-04, eta: 3 days, 14:10:26, time: 1.356, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0329, loss_semantic_seg: 0.2216, s0.loss_cls: 0.1815, s0.acc: 93.7297, s0.loss_bbox: 0.0993, s0.loss_mask: 0.2175, s1.loss_cls: 0.0865, s1.acc: 93.9902, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1024, s2.loss_cls: 0.0433, s2.acc: 93.7888, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0476, loss: 1.2244 2022-09-12 17:38:54,666 - mmdet - INFO - Epoch [5][5800/7330] lr: 1.000e-04, eta: 3 days, 14:09:15, time: 1.346, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0346, loss_semantic_seg: 0.2189, s0.loss_cls: 0.1691, s0.acc: 94.1350, s0.loss_bbox: 0.0939, s0.loss_mask: 0.2105, s1.loss_cls: 0.0799, s1.acc: 94.3692, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0984, s2.loss_cls: 0.0401, s2.acc: 94.2683, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0463, loss: 1.1773 2022-09-12 17:40:02,341 - mmdet - INFO - Epoch [5][5850/7330] lr: 1.000e-04, eta: 3 days, 14:08:06, time: 1.353, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2218, s0.loss_cls: 0.1658, s0.acc: 94.2180, s0.loss_bbox: 0.0911, s0.loss_mask: 0.2128, s1.loss_cls: 0.0795, s1.acc: 94.4529, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0999, s2.loss_cls: 0.0400, s2.acc: 94.2796, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0472, loss: 1.1648 2022-09-12 17:41:11,120 - mmdet - INFO - Epoch [5][5900/7330] lr: 1.000e-04, eta: 3 days, 14:07:05, time: 1.376, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0345, loss_semantic_seg: 0.2137, s0.loss_cls: 0.1682, s0.acc: 94.0964, s0.loss_bbox: 0.0918, s0.loss_mask: 0.2195, s1.loss_cls: 0.0808, s1.acc: 94.3152, s1.loss_bbox: 0.0964, s1.loss_mask: 0.1029, s2.loss_cls: 0.0407, s2.acc: 94.1969, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0485, loss: 1.1859 2022-09-12 17:42:19,713 - mmdet - INFO - Epoch [5][5950/7330] lr: 1.000e-04, eta: 3 days, 14:06:03, time: 1.372, data_time: 0.028, memory: 64751, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0337, loss_semantic_seg: 0.2167, s0.loss_cls: 0.1766, s0.acc: 93.8433, s0.loss_bbox: 0.0982, s0.loss_mask: 0.2204, s1.loss_cls: 0.0852, s1.acc: 94.0551, s1.loss_bbox: 0.1015, s1.loss_mask: 0.1031, s2.loss_cls: 0.0427, s2.acc: 93.9108, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0485, loss: 1.2158 2022-09-12 17:43:27,271 - mmdet - INFO - Epoch [5][6000/7330] lr: 1.000e-04, eta: 3 days, 14:04:53, time: 1.351, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2217, s0.loss_cls: 0.1725, s0.acc: 93.9832, s0.loss_bbox: 0.0941, s0.loss_mask: 0.2149, s1.loss_cls: 0.0823, s1.acc: 94.2321, s1.loss_bbox: 0.0996, s1.loss_mask: 0.1008, s2.loss_cls: 0.0408, s2.acc: 94.1559, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0473, loss: 1.1935 2022-09-12 17:44:35,403 - mmdet - INFO - Epoch [5][6050/7330] lr: 1.000e-04, eta: 3 days, 14:03:48, time: 1.362, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2221, s0.loss_cls: 0.1694, s0.acc: 94.0464, s0.loss_bbox: 0.0923, s0.loss_mask: 0.2116, s1.loss_cls: 0.0809, s1.acc: 94.3238, s1.loss_bbox: 0.0961, s1.loss_mask: 0.0988, s2.loss_cls: 0.0405, s2.acc: 94.1811, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0465, loss: 1.1769 2022-09-12 17:45:42,996 - mmdet - INFO - Epoch [5][6100/7330] lr: 1.000e-04, eta: 3 days, 14:02:39, time: 1.352, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0332, loss_semantic_seg: 0.2272, s0.loss_cls: 0.1776, s0.acc: 93.8071, s0.loss_bbox: 0.0986, s0.loss_mask: 0.2264, s1.loss_cls: 0.0859, s1.acc: 93.9622, s1.loss_bbox: 0.1040, s1.loss_mask: 0.1055, s2.loss_cls: 0.0428, s2.acc: 93.8678, s2.loss_bbox: 0.0632, s2.loss_mask: 0.0493, loss: 1.2410 2022-09-12 17:46:51,655 - mmdet - INFO - Epoch [5][6150/7330] lr: 1.000e-04, eta: 3 days, 14:01:36, time: 1.372, data_time: 0.032, memory: 64751, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2378, s0.loss_cls: 0.1898, s0.acc: 93.4236, s0.loss_bbox: 0.1064, s0.loss_mask: 0.2221, s1.loss_cls: 0.0897, s1.acc: 93.6798, s1.loss_bbox: 0.1101, s1.loss_mask: 0.1024, s2.loss_cls: 0.0450, s2.acc: 93.4789, s2.loss_bbox: 0.0664, s2.loss_mask: 0.0477, loss: 1.2785 2022-09-12 17:48:00,441 - mmdet - INFO - Epoch [5][6200/7330] lr: 1.000e-04, eta: 3 days, 14:00:35, time: 1.377, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2192, s0.loss_cls: 0.1813, s0.acc: 93.7092, s0.loss_bbox: 0.0974, s0.loss_mask: 0.2165, s1.loss_cls: 0.0861, s1.acc: 93.9997, s1.loss_bbox: 0.0999, s1.loss_mask: 0.1006, s2.loss_cls: 0.0433, s2.acc: 93.8193, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0466, loss: 1.2135 2022-09-12 17:49:07,977 - mmdet - INFO - Epoch [5][6250/7330] lr: 1.000e-04, eta: 3 days, 13:59:25, time: 1.351, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2243, s0.loss_cls: 0.1683, s0.acc: 94.1582, s0.loss_bbox: 0.0918, s0.loss_mask: 0.2108, s1.loss_cls: 0.0819, s1.acc: 94.3259, s1.loss_bbox: 0.0971, s1.loss_mask: 0.0988, s2.loss_cls: 0.0421, s2.acc: 94.0753, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0465, loss: 1.1771 2022-09-12 17:50:15,772 - mmdet - INFO - Epoch [5][6300/7330] lr: 1.000e-04, eta: 3 days, 13:58:18, time: 1.356, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2188, s0.loss_cls: 0.1761, s0.acc: 93.8987, s0.loss_bbox: 0.0987, s0.loss_mask: 0.2212, s1.loss_cls: 0.0841, s1.acc: 94.1822, s1.loss_bbox: 0.1036, s1.loss_mask: 0.1036, s2.loss_cls: 0.0426, s2.acc: 93.8728, s2.loss_bbox: 0.0635, s2.loss_mask: 0.0485, loss: 1.2210 2022-09-12 17:51:25,141 - mmdet - INFO - Epoch [5][6350/7330] lr: 1.000e-04, eta: 3 days, 13:57:20, time: 1.388, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2261, s0.loss_cls: 0.1779, s0.acc: 93.7629, s0.loss_bbox: 0.0999, s0.loss_mask: 0.2207, s1.loss_cls: 0.0856, s1.acc: 94.0050, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1031, s2.loss_cls: 0.0433, s2.acc: 93.8347, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0482, loss: 1.2317 2022-09-12 17:52:32,601 - mmdet - INFO - Epoch [5][6400/7330] lr: 1.000e-04, eta: 3 days, 13:56:09, time: 1.348, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0344, loss_semantic_seg: 0.2263, s0.loss_cls: 0.1833, s0.acc: 93.6169, s0.loss_bbox: 0.0997, s0.loss_mask: 0.2201, s1.loss_cls: 0.0884, s1.acc: 93.7959, s1.loss_bbox: 0.1040, s1.loss_mask: 0.1024, s2.loss_cls: 0.0437, s2.acc: 93.7185, s2.loss_bbox: 0.0641, s2.loss_mask: 0.0477, loss: 1.2434 2022-09-12 17:53:40,695 - mmdet - INFO - Epoch [5][6450/7330] lr: 1.000e-04, eta: 3 days, 13:55:04, time: 1.363, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0337, loss_semantic_seg: 0.2249, s0.loss_cls: 0.1726, s0.acc: 93.9988, s0.loss_bbox: 0.0959, s0.loss_mask: 0.2173, s1.loss_cls: 0.0828, s1.acc: 94.1795, s1.loss_bbox: 0.1010, s1.loss_mask: 0.1005, s2.loss_cls: 0.0417, s2.acc: 94.0417, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0473, loss: 1.2055 2022-09-12 17:54:49,455 - mmdet - INFO - Epoch [5][6500/7330] lr: 1.000e-04, eta: 3 days, 13:54:02, time: 1.376, data_time: 0.026, memory: 64751, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.2184, s0.loss_cls: 0.1743, s0.acc: 93.8545, s0.loss_bbox: 0.0958, s0.loss_mask: 0.2142, s1.loss_cls: 0.0831, s1.acc: 94.1622, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1006, s2.loss_cls: 0.0415, s2.acc: 94.0506, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0471, loss: 1.1965 2022-09-12 17:55:57,538 - mmdet - INFO - Epoch [5][6550/7330] lr: 1.000e-04, eta: 3 days, 13:52:56, time: 1.361, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.2161, s0.loss_cls: 0.1869, s0.acc: 93.4375, s0.loss_bbox: 0.1020, s0.loss_mask: 0.2243, s1.loss_cls: 0.0899, s1.acc: 93.7053, s1.loss_bbox: 0.1075, s1.loss_mask: 0.1054, s2.loss_cls: 0.0453, s2.acc: 93.5294, s2.loss_bbox: 0.0653, s2.loss_mask: 0.0491, loss: 1.2548 2022-09-12 17:57:05,191 - mmdet - INFO - Epoch [5][6600/7330] lr: 1.000e-04, eta: 3 days, 13:51:48, time: 1.353, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2202, s0.loss_cls: 0.1696, s0.acc: 94.0969, s0.loss_bbox: 0.0921, s0.loss_mask: 0.2153, s1.loss_cls: 0.0808, s1.acc: 94.3274, s1.loss_bbox: 0.0983, s1.loss_mask: 0.1011, s2.loss_cls: 0.0406, s2.acc: 94.2025, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0473, loss: 1.1844 2022-09-12 17:58:13,812 - mmdet - INFO - Epoch [5][6650/7330] lr: 1.000e-04, eta: 3 days, 13:50:45, time: 1.371, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0346, loss_semantic_seg: 0.2185, s0.loss_cls: 0.1834, s0.acc: 93.6567, s0.loss_bbox: 0.1021, s0.loss_mask: 0.2215, s1.loss_cls: 0.0863, s1.acc: 94.0225, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1028, s2.loss_cls: 0.0426, s2.acc: 93.9400, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0479, loss: 1.2377 2022-09-12 17:59:21,925 - mmdet - INFO - Epoch [5][6700/7330] lr: 1.000e-04, eta: 3 days, 13:49:39, time: 1.364, data_time: 0.029, memory: 64751, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.2255, s0.loss_cls: 0.1765, s0.acc: 93.8376, s0.loss_bbox: 0.0978, s0.loss_mask: 0.2185, s1.loss_cls: 0.0837, s1.acc: 94.0525, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1018, s2.loss_cls: 0.0417, s2.acc: 94.0112, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0477, loss: 1.2196 2022-09-12 18:00:32,180 - mmdet - INFO - Epoch [5][6750/7330] lr: 1.000e-04, eta: 3 days, 13:48:47, time: 1.405, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2210, s0.loss_cls: 0.1797, s0.acc: 93.8625, s0.loss_bbox: 0.0962, s0.loss_mask: 0.2185, s1.loss_cls: 0.0863, s1.acc: 94.1137, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1012, s2.loss_cls: 0.0434, s2.acc: 93.9638, s2.loss_bbox: 0.0611, s2.loss_mask: 0.0474, loss: 1.2117 2022-09-12 18:01:41,215 - mmdet - INFO - Epoch [5][6800/7330] lr: 1.000e-04, eta: 3 days, 13:47:47, time: 1.380, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2193, s0.loss_cls: 0.1872, s0.acc: 93.5469, s0.loss_bbox: 0.1001, s0.loss_mask: 0.2220, s1.loss_cls: 0.0893, s1.acc: 93.8390, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1037, s2.loss_cls: 0.0445, s2.acc: 93.7167, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0489, loss: 1.2429 2022-09-12 18:02:48,891 - mmdet - INFO - Epoch [5][6850/7330] lr: 1.000e-04, eta: 3 days, 13:46:37, time: 1.351, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2200, s0.loss_cls: 0.1802, s0.acc: 93.8613, s0.loss_bbox: 0.0919, s0.loss_mask: 0.2168, s1.loss_cls: 0.0882, s1.acc: 94.0239, s1.loss_bbox: 0.0969, s1.loss_mask: 0.1017, s2.loss_cls: 0.0437, s2.acc: 93.9331, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0473, loss: 1.2098 2022-09-12 18:03:56,838 - mmdet - INFO - Epoch [5][6900/7330] lr: 1.000e-04, eta: 3 days, 13:45:31, time: 1.362, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2234, s0.loss_cls: 0.1757, s0.acc: 93.9221, s0.loss_bbox: 0.0977, s0.loss_mask: 0.2194, s1.loss_cls: 0.0841, s1.acc: 94.1530, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1014, s2.loss_cls: 0.0424, s2.acc: 94.0016, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0475, loss: 1.2127 2022-09-12 18:05:05,806 - mmdet - INFO - Epoch [5][6950/7330] lr: 1.000e-04, eta: 3 days, 13:44:31, time: 1.380, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2202, s0.loss_cls: 0.1714, s0.acc: 93.9863, s0.loss_bbox: 0.0949, s0.loss_mask: 0.2211, s1.loss_cls: 0.0830, s1.acc: 94.1466, s1.loss_bbox: 0.1014, s1.loss_mask: 0.1031, s2.loss_cls: 0.0417, s2.acc: 93.9732, s2.loss_bbox: 0.0623, s2.loss_mask: 0.0481, loss: 1.2076 2022-09-12 18:06:15,139 - mmdet - INFO - Epoch [5][7000/7330] lr: 1.000e-04, eta: 3 days, 13:43:33, time: 1.387, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2193, s0.loss_cls: 0.1721, s0.acc: 94.1187, s0.loss_bbox: 0.0978, s0.loss_mask: 0.2172, s1.loss_cls: 0.0829, s1.acc: 94.3111, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1009, s2.loss_cls: 0.0412, s2.acc: 94.1725, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0475, loss: 1.1996 2022-09-12 18:07:22,170 - mmdet - INFO - Epoch [5][7050/7330] lr: 1.000e-04, eta: 3 days, 13:42:20, time: 1.341, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2260, s0.loss_cls: 0.1720, s0.acc: 94.0808, s0.loss_bbox: 0.0943, s0.loss_mask: 0.2187, s1.loss_cls: 0.0827, s1.acc: 94.3188, s1.loss_bbox: 0.0983, s1.loss_mask: 0.1013, s2.loss_cls: 0.0407, s2.acc: 94.2624, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0475, loss: 1.1999 2022-09-12 18:08:30,353 - mmdet - INFO - Epoch [5][7100/7330] lr: 1.000e-04, eta: 3 days, 13:41:14, time: 1.364, data_time: 0.015, memory: 64751, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.2168, s0.loss_cls: 0.1743, s0.acc: 93.8911, s0.loss_bbox: 0.0978, s0.loss_mask: 0.2163, s1.loss_cls: 0.0843, s1.acc: 94.0489, s1.loss_bbox: 0.1028, s1.loss_mask: 0.1003, s2.loss_cls: 0.0425, s2.acc: 93.8730, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0468, loss: 1.2013 2022-09-12 18:09:37,666 - mmdet - INFO - Epoch [5][7150/7330] lr: 1.000e-04, eta: 3 days, 13:40:04, time: 1.346, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2181, s0.loss_cls: 0.1679, s0.acc: 94.1606, s0.loss_bbox: 0.0950, s0.loss_mask: 0.2124, s1.loss_cls: 0.0812, s1.acc: 94.3058, s1.loss_bbox: 0.0996, s1.loss_mask: 0.0990, s2.loss_cls: 0.0402, s2.acc: 94.2610, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0462, loss: 1.1782 2022-09-12 18:10:46,027 - mmdet - INFO - Epoch [5][7200/7330] lr: 1.000e-04, eta: 3 days, 13:38:59, time: 1.367, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2186, s0.loss_cls: 0.1780, s0.acc: 93.7896, s0.loss_bbox: 0.0993, s0.loss_mask: 0.2177, s1.loss_cls: 0.0838, s1.acc: 94.1887, s1.loss_bbox: 0.1041, s1.loss_mask: 0.1020, s2.loss_cls: 0.0426, s2.acc: 93.9000, s2.loss_bbox: 0.0652, s2.loss_mask: 0.0480, loss: 1.2209 2022-09-12 18:11:53,407 - mmdet - INFO - Epoch [5][7250/7330] lr: 1.000e-04, eta: 3 days, 13:37:49, time: 1.348, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2140, s0.loss_cls: 0.1721, s0.acc: 93.9788, s0.loss_bbox: 0.0949, s0.loss_mask: 0.2184, s1.loss_cls: 0.0825, s1.acc: 94.2379, s1.loss_bbox: 0.1002, s1.loss_mask: 0.1010, s2.loss_cls: 0.0416, s2.acc: 93.9902, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0475, loss: 1.1931 2022-09-12 18:13:01,705 - mmdet - INFO - Epoch [5][7300/7330] lr: 1.000e-04, eta: 3 days, 13:36:44, time: 1.366, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2121, s0.loss_cls: 0.1757, s0.acc: 93.8506, s0.loss_bbox: 0.0979, s0.loss_mask: 0.2169, s1.loss_cls: 0.0851, s1.acc: 94.0555, s1.loss_bbox: 0.1033, s1.loss_mask: 0.1009, s2.loss_cls: 0.0428, s2.acc: 93.8458, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0474, loss: 1.2054 2022-09-12 18:13:52,604 - mmdet - INFO - Saving checkpoint at 5 epochs 2022-09-12 18:17:24,317 - mmdet - INFO - Evaluating bbox... 2022-09-12 18:18:32,491 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.512 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.701 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.570 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.365 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.554 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.619 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.699 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.699 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.699 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.742 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.821 2022-09-12 18:18:32,491 - mmdet - INFO - Evaluating segm... 2022-09-12 18:19:54,414 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.448 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.680 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.490 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.269 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.489 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.614 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.611 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.611 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.611 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.447 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.649 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.748 2022-09-12 18:19:56,203 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 18:19:56,206 - mmdet - INFO - Epoch(val) [5][313] bbox_mAP: 0.5120, bbox_mAP_50: 0.7010, bbox_mAP_75: 0.5700, bbox_mAP_s: 0.3650, bbox_mAP_m: 0.5540, bbox_mAP_l: 0.6190, bbox_mAP_copypaste: 0.512 0.701 0.570 0.365 0.554 0.619, segm_mAP: 0.4480, segm_mAP_50: 0.6800, segm_mAP_75: 0.4900, segm_mAP_s: 0.2690, segm_mAP_m: 0.4890, segm_mAP_l: 0.6140, segm_mAP_copypaste: 0.448 0.680 0.490 0.269 0.489 0.614 2022-09-12 18:23:00,765 - mmdet - INFO - Epoch [6][50/7330] lr: 1.000e-04, eta: 3 days, 13:42:46, time: 3.690, data_time: 2.320, memory: 64751, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2032, s0.loss_cls: 0.1640, s0.acc: 94.2759, s0.loss_bbox: 0.0918, s0.loss_mask: 0.2080, s1.loss_cls: 0.0778, s1.acc: 94.4734, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0971, s2.loss_cls: 0.0397, s2.acc: 94.3011, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0455, loss: 1.1458 2022-09-12 18:24:07,933 - mmdet - INFO - Epoch [6][100/7330] lr: 1.000e-04, eta: 3 days, 13:41:33, time: 1.343, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2174, s0.loss_cls: 0.1709, s0.acc: 93.9438, s0.loss_bbox: 0.0949, s0.loss_mask: 0.2142, s1.loss_cls: 0.0815, s1.acc: 94.2126, s1.loss_bbox: 0.0993, s1.loss_mask: 0.0995, s2.loss_cls: 0.0410, s2.acc: 94.1078, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0461, loss: 1.1832 2022-09-12 18:25:15,700 - mmdet - INFO - Epoch [6][150/7330] lr: 1.000e-04, eta: 3 days, 13:40:25, time: 1.355, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2152, s0.loss_cls: 0.1643, s0.acc: 94.2241, s0.loss_bbox: 0.0918, s0.loss_mask: 0.2146, s1.loss_cls: 0.0793, s1.acc: 94.4180, s1.loss_bbox: 0.0969, s1.loss_mask: 0.1000, s2.loss_cls: 0.0392, s2.acc: 94.3016, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0464, loss: 1.1663 2022-09-12 18:26:23,386 - mmdet - INFO - Epoch [6][200/7330] lr: 1.000e-04, eta: 3 days, 13:39:15, time: 1.354, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2160, s0.loss_cls: 0.1689, s0.acc: 94.0298, s0.loss_bbox: 0.0937, s0.loss_mask: 0.2139, s1.loss_cls: 0.0809, s1.acc: 94.3408, s1.loss_bbox: 0.0984, s1.loss_mask: 0.0999, s2.loss_cls: 0.0407, s2.acc: 94.1147, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0467, loss: 1.1804 2022-09-12 18:27:31,128 - mmdet - INFO - Epoch [6][250/7330] lr: 1.000e-04, eta: 3 days, 13:38:05, time: 1.352, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2166, s0.loss_cls: 0.1681, s0.acc: 94.0901, s0.loss_bbox: 0.0934, s0.loss_mask: 0.2120, s1.loss_cls: 0.0815, s1.acc: 94.2342, s1.loss_bbox: 0.0993, s1.loss_mask: 0.0983, s2.loss_cls: 0.0417, s2.acc: 94.0055, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0458, loss: 1.1749 2022-09-12 18:28:38,996 - mmdet - INFO - Epoch [6][300/7330] lr: 1.000e-04, eta: 3 days, 13:36:58, time: 1.361, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2132, s0.loss_cls: 0.1680, s0.acc: 94.0693, s0.loss_bbox: 0.0913, s0.loss_mask: 0.2115, s1.loss_cls: 0.0797, s1.acc: 94.3062, s1.loss_bbox: 0.0968, s1.loss_mask: 0.0992, s2.loss_cls: 0.0400, s2.acc: 94.2215, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0465, loss: 1.1662 2022-09-12 18:29:46,547 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 18:29:46,561 - mmdet - INFO - Epoch [6][350/7330] lr: 1.000e-04, eta: 3 days, 13:35:48, time: 1.351, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0332, loss_semantic_seg: 0.2179, s0.loss_cls: 0.1698, s0.acc: 94.0225, s0.loss_bbox: 0.0940, s0.loss_mask: 0.2113, s1.loss_cls: 0.0819, s1.acc: 94.2285, s1.loss_bbox: 0.1001, s1.loss_mask: 0.0989, s2.loss_cls: 0.0408, s2.acc: 94.1393, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0463, loss: 1.1850 2022-09-12 18:30:52,741 - mmdet - INFO - Epoch [6][400/7330] lr: 1.000e-04, eta: 3 days, 13:34:30, time: 1.324, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2100, s0.loss_cls: 0.1716, s0.acc: 93.9883, s0.loss_bbox: 0.0950, s0.loss_mask: 0.2153, s1.loss_cls: 0.0816, s1.acc: 94.3589, s1.loss_bbox: 0.0983, s1.loss_mask: 0.1007, s2.loss_cls: 0.0410, s2.acc: 94.2011, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0474, loss: 1.1786 2022-09-12 18:32:01,490 - mmdet - INFO - Epoch [6][450/7330] lr: 1.000e-04, eta: 3 days, 13:33:27, time: 1.375, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2218, s0.loss_cls: 0.1609, s0.acc: 94.3069, s0.loss_bbox: 0.0913, s0.loss_mask: 0.2146, s1.loss_cls: 0.0776, s1.acc: 94.5001, s1.loss_bbox: 0.0979, s1.loss_mask: 0.0994, s2.loss_cls: 0.0389, s2.acc: 94.3479, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0466, loss: 1.1691 2022-09-12 18:33:08,585 - mmdet - INFO - Epoch [6][500/7330] lr: 1.000e-04, eta: 3 days, 13:32:14, time: 1.342, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2173, s0.loss_cls: 0.1681, s0.acc: 94.1655, s0.loss_bbox: 0.0928, s0.loss_mask: 0.2115, s1.loss_cls: 0.0814, s1.acc: 94.3710, s1.loss_bbox: 0.0984, s1.loss_mask: 0.0990, s2.loss_cls: 0.0406, s2.acc: 94.2874, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0461, loss: 1.1744 2022-09-12 18:34:16,089 - mmdet - INFO - Epoch [6][550/7330] lr: 1.000e-04, eta: 3 days, 13:31:03, time: 1.349, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2096, s0.loss_cls: 0.1728, s0.acc: 93.8752, s0.loss_bbox: 0.0959, s0.loss_mask: 0.2177, s1.loss_cls: 0.0827, s1.acc: 94.1666, s1.loss_bbox: 0.0997, s1.loss_mask: 0.1017, s2.loss_cls: 0.0413, s2.acc: 94.0264, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0478, loss: 1.1946 2022-09-12 18:35:23,893 - mmdet - INFO - Epoch [6][600/7330] lr: 1.000e-04, eta: 3 days, 13:29:55, time: 1.358, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2119, s0.loss_cls: 0.1654, s0.acc: 94.2200, s0.loss_bbox: 0.0924, s0.loss_mask: 0.2134, s1.loss_cls: 0.0788, s1.acc: 94.4529, s1.loss_bbox: 0.0968, s1.loss_mask: 0.1001, s2.loss_cls: 0.0399, s2.acc: 94.2755, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0471, loss: 1.1655 2022-09-12 18:36:32,075 - mmdet - INFO - Epoch [6][650/7330] lr: 1.000e-04, eta: 3 days, 13:28:49, time: 1.364, data_time: 0.017, memory: 64751, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0337, loss_semantic_seg: 0.2213, s0.loss_cls: 0.1749, s0.acc: 93.8911, s0.loss_bbox: 0.0971, s0.loss_mask: 0.2166, s1.loss_cls: 0.0843, s1.acc: 94.0863, s1.loss_bbox: 0.1002, s1.loss_mask: 0.1011, s2.loss_cls: 0.0420, s2.acc: 93.9512, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0470, loss: 1.2059 2022-09-12 18:37:39,558 - mmdet - INFO - Epoch [6][700/7330] lr: 1.000e-04, eta: 3 days, 13:27:38, time: 1.350, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2087, s0.loss_cls: 0.1653, s0.acc: 94.1919, s0.loss_bbox: 0.0914, s0.loss_mask: 0.2074, s1.loss_cls: 0.0784, s1.acc: 94.4746, s1.loss_bbox: 0.0958, s1.loss_mask: 0.0978, s2.loss_cls: 0.0396, s2.acc: 94.2798, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0460, loss: 1.1502 2022-09-12 18:38:46,417 - mmdet - INFO - Epoch [6][750/7330] lr: 1.000e-04, eta: 3 days, 13:26:24, time: 1.337, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2093, s0.loss_cls: 0.1620, s0.acc: 94.2427, s0.loss_bbox: 0.0927, s0.loss_mask: 0.2167, s1.loss_cls: 0.0770, s1.acc: 94.4898, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1009, s2.loss_cls: 0.0389, s2.acc: 94.3176, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0475, loss: 1.1588 2022-09-12 18:39:53,882 - mmdet - INFO - Epoch [6][800/7330] lr: 1.000e-04, eta: 3 days, 13:25:14, time: 1.350, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2187, s0.loss_cls: 0.1669, s0.acc: 94.1599, s0.loss_bbox: 0.0923, s0.loss_mask: 0.2122, s1.loss_cls: 0.0807, s1.acc: 94.4614, s1.loss_bbox: 0.0977, s1.loss_mask: 0.0994, s2.loss_cls: 0.0405, s2.acc: 94.2356, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0463, loss: 1.1739 2022-09-12 18:41:02,520 - mmdet - INFO - Epoch [6][850/7330] lr: 1.000e-04, eta: 3 days, 13:24:09, time: 1.369, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2193, s0.loss_cls: 0.1778, s0.acc: 93.7451, s0.loss_bbox: 0.0963, s0.loss_mask: 0.2132, s1.loss_cls: 0.0848, s1.acc: 93.9924, s1.loss_bbox: 0.0999, s1.loss_mask: 0.0982, s2.loss_cls: 0.0427, s2.acc: 93.8289, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0458, loss: 1.2026 2022-09-12 18:42:10,700 - mmdet - INFO - Epoch [6][900/7330] lr: 1.000e-04, eta: 3 days, 13:23:04, time: 1.367, data_time: 0.028, memory: 64751, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0331, loss_semantic_seg: 0.2126, s0.loss_cls: 0.1669, s0.acc: 94.1812, s0.loss_bbox: 0.0916, s0.loss_mask: 0.2158, s1.loss_cls: 0.0803, s1.acc: 94.2593, s1.loss_bbox: 0.0934, s1.loss_mask: 0.1001, s2.loss_cls: 0.0398, s2.acc: 94.1200, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0466, loss: 1.1650 2022-09-12 18:43:17,556 - mmdet - INFO - Epoch [6][950/7330] lr: 1.000e-04, eta: 3 days, 13:21:49, time: 1.335, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2062, s0.loss_cls: 0.1664, s0.acc: 94.1042, s0.loss_bbox: 0.0937, s0.loss_mask: 0.2152, s1.loss_cls: 0.0787, s1.acc: 94.4257, s1.loss_bbox: 0.0990, s1.loss_mask: 0.1006, s2.loss_cls: 0.0390, s2.acc: 94.3784, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0472, loss: 1.1634 2022-09-12 18:44:25,672 - mmdet - INFO - Epoch [6][1000/7330] lr: 1.000e-04, eta: 3 days, 13:20:43, time: 1.364, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2130, s0.loss_cls: 0.1689, s0.acc: 94.0503, s0.loss_bbox: 0.0961, s0.loss_mask: 0.2146, s1.loss_cls: 0.0809, s1.acc: 94.2675, s1.loss_bbox: 0.1010, s1.loss_mask: 0.0997, s2.loss_cls: 0.0401, s2.acc: 94.1721, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0470, loss: 1.1818 2022-09-12 18:45:32,732 - mmdet - INFO - Epoch [6][1050/7330] lr: 1.000e-04, eta: 3 days, 13:19:29, time: 1.340, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2133, s0.loss_cls: 0.1728, s0.acc: 94.1013, s0.loss_bbox: 0.0939, s0.loss_mask: 0.2161, s1.loss_cls: 0.0820, s1.acc: 94.3881, s1.loss_bbox: 0.0980, s1.loss_mask: 0.1010, s2.loss_cls: 0.0411, s2.acc: 94.1199, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0478, loss: 1.1869 2022-09-12 18:46:41,010 - mmdet - INFO - Epoch [6][1100/7330] lr: 1.000e-04, eta: 3 days, 13:18:24, time: 1.366, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2131, s0.loss_cls: 0.1706, s0.acc: 94.0471, s0.loss_bbox: 0.0936, s0.loss_mask: 0.2167, s1.loss_cls: 0.0825, s1.acc: 94.2059, s1.loss_bbox: 0.0988, s1.loss_mask: 0.1015, s2.loss_cls: 0.0408, s2.acc: 94.0941, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0475, loss: 1.1841 2022-09-12 18:47:48,567 - mmdet - INFO - Epoch [6][1150/7330] lr: 1.000e-04, eta: 3 days, 13:17:14, time: 1.353, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.2174, s0.loss_cls: 0.1651, s0.acc: 94.1824, s0.loss_bbox: 0.0932, s0.loss_mask: 0.2155, s1.loss_cls: 0.0783, s1.acc: 94.4246, s1.loss_bbox: 0.0995, s1.loss_mask: 0.1010, s2.loss_cls: 0.0395, s2.acc: 94.1884, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0474, loss: 1.1760 2022-09-12 18:48:56,765 - mmdet - INFO - Epoch [6][1200/7330] lr: 1.000e-04, eta: 3 days, 13:16:08, time: 1.364, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2167, s0.loss_cls: 0.1690, s0.acc: 94.0459, s0.loss_bbox: 0.0943, s0.loss_mask: 0.2121, s1.loss_cls: 0.0804, s1.acc: 94.3405, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0992, s2.loss_cls: 0.0407, s2.acc: 94.1059, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0464, loss: 1.1750 2022-09-12 18:50:04,200 - mmdet - INFO - Epoch [6][1250/7330] lr: 1.000e-04, eta: 3 days, 13:14:57, time: 1.347, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2077, s0.loss_cls: 0.1704, s0.acc: 94.0591, s0.loss_bbox: 0.0922, s0.loss_mask: 0.2134, s1.loss_cls: 0.0829, s1.acc: 94.2760, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0999, s2.loss_cls: 0.0421, s2.acc: 94.0330, s2.loss_bbox: 0.0611, s2.loss_mask: 0.0469, loss: 1.1685 2022-09-12 18:51:11,694 - mmdet - INFO - Epoch [6][1300/7330] lr: 1.000e-04, eta: 3 days, 13:13:47, time: 1.351, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.2201, s0.loss_cls: 0.1718, s0.acc: 94.0903, s0.loss_bbox: 0.0951, s0.loss_mask: 0.2181, s1.loss_cls: 0.0812, s1.acc: 94.3320, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1026, s2.loss_cls: 0.0406, s2.acc: 94.0830, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0479, loss: 1.1996 2022-09-12 18:52:18,579 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 18:52:18,592 - mmdet - INFO - Epoch [6][1350/7330] lr: 1.000e-04, eta: 3 days, 13:12:33, time: 1.336, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2159, s0.loss_cls: 0.1695, s0.acc: 93.9705, s0.loss_bbox: 0.0936, s0.loss_mask: 0.2096, s1.loss_cls: 0.0819, s1.acc: 94.2020, s1.loss_bbox: 0.0988, s1.loss_mask: 0.0976, s2.loss_cls: 0.0410, s2.acc: 94.0514, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0457, loss: 1.1728 2022-09-12 18:53:26,320 - mmdet - INFO - Epoch [6][1400/7330] lr: 1.000e-04, eta: 3 days, 13:11:24, time: 1.356, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2141, s0.loss_cls: 0.1782, s0.acc: 93.7449, s0.loss_bbox: 0.0964, s0.loss_mask: 0.2203, s1.loss_cls: 0.0860, s1.acc: 93.9108, s1.loss_bbox: 0.1002, s1.loss_mask: 0.1027, s2.loss_cls: 0.0433, s2.acc: 93.8121, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0485, loss: 1.2118 2022-09-12 18:54:33,832 - mmdet - INFO - Epoch [6][1450/7330] lr: 1.000e-04, eta: 3 days, 13:10:14, time: 1.350, data_time: 0.028, memory: 64751, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2144, s0.loss_cls: 0.1832, s0.acc: 93.6963, s0.loss_bbox: 0.0968, s0.loss_mask: 0.2210, s1.loss_cls: 0.0879, s1.acc: 93.8944, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1038, s2.loss_cls: 0.0445, s2.acc: 93.7083, s2.loss_bbox: 0.0661, s2.loss_mask: 0.0490, loss: 1.2275 2022-09-12 18:55:41,291 - mmdet - INFO - Epoch [6][1500/7330] lr: 1.000e-04, eta: 3 days, 13:09:04, time: 1.349, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2124, s0.loss_cls: 0.1783, s0.acc: 93.7336, s0.loss_bbox: 0.0978, s0.loss_mask: 0.2146, s1.loss_cls: 0.0852, s1.acc: 93.9109, s1.loss_bbox: 0.1006, s1.loss_mask: 0.0998, s2.loss_cls: 0.0423, s2.acc: 93.8385, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0471, loss: 1.1994 2022-09-12 18:56:49,096 - mmdet - INFO - Epoch [6][1550/7330] lr: 1.000e-04, eta: 3 days, 13:07:55, time: 1.356, data_time: 0.016, memory: 64751, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.2249, s0.loss_cls: 0.1673, s0.acc: 94.2366, s0.loss_bbox: 0.0882, s0.loss_mask: 0.2114, s1.loss_cls: 0.0807, s1.acc: 94.5175, s1.loss_bbox: 0.0950, s1.loss_mask: 0.1001, s2.loss_cls: 0.0404, s2.acc: 94.3877, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0468, loss: 1.1675 2022-09-12 18:57:56,907 - mmdet - INFO - Epoch [6][1600/7330] lr: 1.000e-04, eta: 3 days, 13:06:47, time: 1.356, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2190, s0.loss_cls: 0.1708, s0.acc: 94.0845, s0.loss_bbox: 0.0922, s0.loss_mask: 0.2096, s1.loss_cls: 0.0823, s1.acc: 94.2762, s1.loss_bbox: 0.0983, s1.loss_mask: 0.0979, s2.loss_cls: 0.0415, s2.acc: 94.2442, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0462, loss: 1.1773 2022-09-12 18:59:04,787 - mmdet - INFO - Epoch [6][1650/7330] lr: 1.000e-04, eta: 3 days, 13:05:39, time: 1.358, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2149, s0.loss_cls: 0.1720, s0.acc: 93.9536, s0.loss_bbox: 0.0930, s0.loss_mask: 0.2123, s1.loss_cls: 0.0855, s1.acc: 94.0426, s1.loss_bbox: 0.1029, s1.loss_mask: 0.0988, s2.loss_cls: 0.0435, s2.acc: 93.6624, s2.loss_bbox: 0.0632, s2.loss_mask: 0.0463, loss: 1.1938 2022-09-12 19:00:12,767 - mmdet - INFO - Epoch [6][1700/7330] lr: 1.000e-04, eta: 3 days, 13:04:31, time: 1.360, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2136, s0.loss_cls: 0.1769, s0.acc: 93.7600, s0.loss_bbox: 0.0971, s0.loss_mask: 0.2122, s1.loss_cls: 0.0849, s1.acc: 93.9618, s1.loss_bbox: 0.1017, s1.loss_mask: 0.0996, s2.loss_cls: 0.0429, s2.acc: 93.7237, s2.loss_bbox: 0.0640, s2.loss_mask: 0.0468, loss: 1.2001 2022-09-12 19:01:20,831 - mmdet - INFO - Epoch [6][1750/7330] lr: 1.000e-04, eta: 3 days, 13:03:24, time: 1.359, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2276, s0.loss_cls: 0.1716, s0.acc: 94.0640, s0.loss_bbox: 0.0930, s0.loss_mask: 0.2110, s1.loss_cls: 0.0814, s1.acc: 94.3208, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0980, s2.loss_cls: 0.0406, s2.acc: 94.1600, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0456, loss: 1.1812 2022-09-12 19:02:28,081 - mmdet - INFO - Epoch [6][1800/7330] lr: 1.000e-04, eta: 3 days, 13:02:12, time: 1.346, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2142, s0.loss_cls: 0.1572, s0.acc: 94.3362, s0.loss_bbox: 0.0924, s0.loss_mask: 0.2112, s1.loss_cls: 0.0740, s1.acc: 94.5804, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0981, s2.loss_cls: 0.0375, s2.acc: 94.4703, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0455, loss: 1.1433 2022-09-12 19:03:36,132 - mmdet - INFO - Epoch [6][1850/7330] lr: 1.000e-04, eta: 3 days, 13:01:05, time: 1.363, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0354, loss_semantic_seg: 0.2129, s0.loss_cls: 0.1769, s0.acc: 94.0122, s0.loss_bbox: 0.0963, s0.loss_mask: 0.2221, s1.loss_cls: 0.0834, s1.acc: 94.3318, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1037, s2.loss_cls: 0.0417, s2.acc: 94.2549, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0488, loss: 1.2131 2022-09-12 19:04:44,043 - mmdet - INFO - Epoch [6][1900/7330] lr: 1.000e-04, eta: 3 days, 12:59:58, time: 1.358, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2048, s0.loss_cls: 0.1626, s0.acc: 94.2090, s0.loss_bbox: 0.0902, s0.loss_mask: 0.2125, s1.loss_cls: 0.0778, s1.acc: 94.4967, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0998, s2.loss_cls: 0.0390, s2.acc: 94.3499, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0468, loss: 1.1459 2022-09-12 19:05:51,179 - mmdet - INFO - Epoch [6][1950/7330] lr: 1.000e-04, eta: 3 days, 12:58:45, time: 1.343, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2193, s0.loss_cls: 0.1614, s0.acc: 94.3081, s0.loss_bbox: 0.0908, s0.loss_mask: 0.2110, s1.loss_cls: 0.0775, s1.acc: 94.5865, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0983, s2.loss_cls: 0.0384, s2.acc: 94.4845, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0459, loss: 1.1509 2022-09-12 19:06:58,914 - mmdet - INFO - Epoch [6][2000/7330] lr: 1.000e-04, eta: 3 days, 12:57:36, time: 1.355, data_time: 0.031, memory: 64751, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0355, loss_semantic_seg: 0.2155, s0.loss_cls: 0.1766, s0.acc: 93.8508, s0.loss_bbox: 0.0972, s0.loss_mask: 0.2152, s1.loss_cls: 0.0851, s1.acc: 94.0334, s1.loss_bbox: 0.1010, s1.loss_mask: 0.0988, s2.loss_cls: 0.0424, s2.acc: 93.9047, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0462, loss: 1.2037 2022-09-12 19:08:06,695 - mmdet - INFO - Epoch [6][2050/7330] lr: 1.000e-04, eta: 3 days, 12:56:28, time: 1.356, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2186, s0.loss_cls: 0.1631, s0.acc: 94.2874, s0.loss_bbox: 0.0900, s0.loss_mask: 0.2079, s1.loss_cls: 0.0782, s1.acc: 94.5222, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0973, s2.loss_cls: 0.0397, s2.acc: 94.2768, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0451, loss: 1.1580 2022-09-12 19:09:14,498 - mmdet - INFO - Epoch [6][2100/7330] lr: 1.000e-04, eta: 3 days, 12:55:19, time: 1.356, data_time: 0.019, memory: 64751, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2058, s0.loss_cls: 0.1672, s0.acc: 94.1443, s0.loss_bbox: 0.0928, s0.loss_mask: 0.2128, s1.loss_cls: 0.0797, s1.acc: 94.4171, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0997, s2.loss_cls: 0.0397, s2.acc: 94.3842, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0471, loss: 1.1597 2022-09-12 19:10:22,249 - mmdet - INFO - Epoch [6][2150/7330] lr: 1.000e-04, eta: 3 days, 12:54:11, time: 1.355, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2067, s0.loss_cls: 0.1660, s0.acc: 94.1372, s0.loss_bbox: 0.0937, s0.loss_mask: 0.2173, s1.loss_cls: 0.0785, s1.acc: 94.4056, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1008, s2.loss_cls: 0.0401, s2.acc: 94.1194, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0472, loss: 1.1677 2022-09-12 19:11:30,182 - mmdet - INFO - Epoch [6][2200/7330] lr: 1.000e-04, eta: 3 days, 12:53:03, time: 1.358, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.2046, s0.loss_cls: 0.1690, s0.acc: 94.1355, s0.loss_bbox: 0.0935, s0.loss_mask: 0.2152, s1.loss_cls: 0.0804, s1.acc: 94.4458, s1.loss_bbox: 0.0980, s1.loss_mask: 0.1011, s2.loss_cls: 0.0404, s2.acc: 94.3060, s2.loss_bbox: 0.0611, s2.loss_mask: 0.0476, loss: 1.1715 2022-09-12 19:12:38,058 - mmdet - INFO - Epoch [6][2250/7330] lr: 1.000e-04, eta: 3 days, 12:51:55, time: 1.358, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2114, s0.loss_cls: 0.1665, s0.acc: 94.0706, s0.loss_bbox: 0.0950, s0.loss_mask: 0.2154, s1.loss_cls: 0.0794, s1.acc: 94.3353, s1.loss_bbox: 0.1007, s1.loss_mask: 0.1007, s2.loss_cls: 0.0395, s2.acc: 94.2746, s2.loss_bbox: 0.0624, s2.loss_mask: 0.0477, loss: 1.1769 2022-09-12 19:13:45,486 - mmdet - INFO - Epoch [6][2300/7330] lr: 1.000e-04, eta: 3 days, 12:50:44, time: 1.349, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2198, s0.loss_cls: 0.1767, s0.acc: 93.7627, s0.loss_bbox: 0.0981, s0.loss_mask: 0.2168, s1.loss_cls: 0.0840, s1.acc: 94.1012, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1007, s2.loss_cls: 0.0420, s2.acc: 93.9385, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0468, loss: 1.2061 2022-09-12 19:14:53,585 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 19:14:53,588 - mmdet - INFO - Epoch [6][2350/7330] lr: 1.000e-04, eta: 3 days, 12:49:38, time: 1.362, data_time: 0.023, memory: 64751, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2227, s0.loss_cls: 0.1693, s0.acc: 94.0774, s0.loss_bbox: 0.0923, s0.loss_mask: 0.2084, s1.loss_cls: 0.0822, s1.acc: 94.2331, s1.loss_bbox: 0.0969, s1.loss_mask: 0.0967, s2.loss_cls: 0.0418, s2.acc: 93.9872, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0452, loss: 1.1697 2022-09-12 19:16:02,203 - mmdet - INFO - Epoch [6][2400/7330] lr: 1.000e-04, eta: 3 days, 12:48:34, time: 1.372, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.2038, s0.loss_cls: 0.1618, s0.acc: 94.3455, s0.loss_bbox: 0.0898, s0.loss_mask: 0.2106, s1.loss_cls: 0.0766, s1.acc: 94.6738, s1.loss_bbox: 0.0964, s1.loss_mask: 0.0988, s2.loss_cls: 0.0381, s2.acc: 94.5435, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0463, loss: 1.1396 2022-09-12 19:17:09,554 - mmdet - INFO - Epoch [6][2450/7330] lr: 1.000e-04, eta: 3 days, 12:47:23, time: 1.347, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2141, s0.loss_cls: 0.1661, s0.acc: 94.2004, s0.loss_bbox: 0.0930, s0.loss_mask: 0.2120, s1.loss_cls: 0.0797, s1.acc: 94.4147, s1.loss_bbox: 0.0979, s1.loss_mask: 0.0993, s2.loss_cls: 0.0405, s2.acc: 94.2156, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0467, loss: 1.1661 2022-09-12 19:18:17,691 - mmdet - INFO - Epoch [6][2500/7330] lr: 1.000e-04, eta: 3 days, 12:46:16, time: 1.363, data_time: 0.021, memory: 64751, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.2175, s0.loss_cls: 0.1799, s0.acc: 93.6836, s0.loss_bbox: 0.0970, s0.loss_mask: 0.2088, s1.loss_cls: 0.0845, s1.acc: 94.0553, s1.loss_bbox: 0.1000, s1.loss_mask: 0.0967, s2.loss_cls: 0.0423, s2.acc: 93.8901, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0451, loss: 1.1943 2022-09-12 19:19:25,199 - mmdet - INFO - Epoch [6][2550/7330] lr: 1.000e-04, eta: 3 days, 12:45:06, time: 1.350, data_time: 0.024, memory: 64751, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2160, s0.loss_cls: 0.1619, s0.acc: 94.3621, s0.loss_bbox: 0.0884, s0.loss_mask: 0.2099, s1.loss_cls: 0.0783, s1.acc: 94.5354, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0985, s2.loss_cls: 0.0391, s2.acc: 94.4071, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0465, loss: 1.1491 2022-09-12 19:20:32,993 - mmdet - INFO - Epoch [6][2600/7330] lr: 1.000e-04, eta: 3 days, 12:43:57, time: 1.355, data_time: 0.018, memory: 64751, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2082, s0.loss_cls: 0.1670, s0.acc: 94.0518, s0.loss_bbox: 0.0947, s0.loss_mask: 0.2108, s1.loss_cls: 0.0798, s1.acc: 94.2413, s1.loss_bbox: 0.0988, s1.loss_mask: 0.0997, s2.loss_cls: 0.0404, s2.acc: 94.0700, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0473, loss: 1.1647 2022-09-12 19:21:41,241 - mmdet - INFO - Epoch [6][2650/7330] lr: 1.000e-04, eta: 3 days, 12:42:51, time: 1.365, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.2127, s0.loss_cls: 0.1661, s0.acc: 94.0654, s0.loss_bbox: 0.0941, s0.loss_mask: 0.2136, s1.loss_cls: 0.0791, s1.acc: 94.3342, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1000, s2.loss_cls: 0.0401, s2.acc: 94.1506, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0466, loss: 1.1738 2022-09-12 19:22:49,400 - mmdet - INFO - Epoch [6][2700/7330] lr: 1.000e-04, eta: 3 days, 12:41:45, time: 1.365, data_time: 0.027, memory: 64751, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2133, s0.loss_cls: 0.1637, s0.acc: 94.1877, s0.loss_bbox: 0.0920, s0.loss_mask: 0.2145, s1.loss_cls: 0.0775, s1.acc: 94.5083, s1.loss_bbox: 0.0966, s1.loss_mask: 0.1012, s2.loss_cls: 0.0386, s2.acc: 94.4438, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0477, loss: 1.1637 2022-09-12 19:23:57,644 - mmdet - INFO - Epoch [6][2750/7330] lr: 1.000e-04, eta: 3 days, 12:40:39, time: 1.365, data_time: 0.022, memory: 64751, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2130, s0.loss_cls: 0.1641, s0.acc: 94.3057, s0.loss_bbox: 0.0933, s0.loss_mask: 0.2126, s1.loss_cls: 0.0778, s1.acc: 94.5760, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0992, s2.loss_cls: 0.0391, s2.acc: 94.3827, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0468, loss: 1.1608 2022-09-12 19:25:04,652 - mmdet - INFO - Epoch [6][2800/7330] lr: 1.000e-04, eta: 3 days, 12:39:26, time: 1.340, data_time: 0.025, memory: 64751, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.2194, s0.loss_cls: 0.1681, s0.acc: 94.1265, s0.loss_bbox: 0.0948, s0.loss_mask: 0.2119, s1.loss_cls: 0.0796, s1.acc: 94.4333, s1.loss_bbox: 0.0983, s1.loss_mask: 0.0990, s2.loss_cls: 0.0399, s2.acc: 94.4174, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0463, loss: 1.1720 2022-09-12 19:26:12,531 - mmdet - INFO - Epoch [6][2850/7330] lr: 1.000e-04, eta: 3 days, 12:38:18, time: 1.358, data_time: 0.020, memory: 64751, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0341, loss_semantic_seg: 0.2156, s0.loss_cls: 0.1725, s0.acc: 93.9182, s0.loss_bbox: 0.0968, s0.loss_mask: 0.2209, s1.loss_cls: 0.0819, s1.acc: 94.2743, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1034, s2.loss_cls: 0.0406, s2.acc: 94.0718, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0483, loss: 1.2031 2022-09-12 19:27:20,086 - mmdet - INFO - Epoch [6][2900/7330] lr: 1.000e-04, eta: 3 days, 12:37:08, time: 1.349, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2174, s0.loss_cls: 0.1697, s0.acc: 94.0608, s0.loss_bbox: 0.0948, s0.loss_mask: 0.2249, s1.loss_cls: 0.0831, s1.acc: 94.1711, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1050, s2.loss_cls: 0.0423, s2.acc: 93.8465, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0494, loss: 1.2078 2022-09-12 19:28:27,892 - mmdet - INFO - Epoch [6][2950/7330] lr: 1.000e-04, eta: 3 days, 12:36:00, time: 1.358, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2143, s0.loss_cls: 0.1709, s0.acc: 93.9446, s0.loss_bbox: 0.0946, s0.loss_mask: 0.2134, s1.loss_cls: 0.0809, s1.acc: 94.3038, s1.loss_bbox: 0.0996, s1.loss_mask: 0.0997, s2.loss_cls: 0.0411, s2.acc: 94.1812, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0465, loss: 1.1815 2022-09-12 19:29:35,396 - mmdet - INFO - Epoch [6][3000/7330] lr: 1.000e-04, eta: 3 days, 12:34:50, time: 1.350, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2149, s0.loss_cls: 0.1698, s0.acc: 94.0518, s0.loss_bbox: 0.0922, s0.loss_mask: 0.2136, s1.loss_cls: 0.0834, s1.acc: 94.2467, s1.loss_bbox: 0.0956, s1.loss_mask: 0.0984, s2.loss_cls: 0.0414, s2.acc: 94.1843, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0461, loss: 1.1765 2022-09-12 19:30:43,344 - mmdet - INFO - Epoch [6][3050/7330] lr: 1.000e-04, eta: 3 days, 12:33:42, time: 1.359, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2126, s0.loss_cls: 0.1736, s0.acc: 93.9434, s0.loss_bbox: 0.0931, s0.loss_mask: 0.2162, s1.loss_cls: 0.0824, s1.acc: 94.1251, s1.loss_bbox: 0.0984, s1.loss_mask: 0.1012, s2.loss_cls: 0.0422, s2.acc: 93.8843, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0472, loss: 1.1888 2022-09-12 19:31:51,536 - mmdet - INFO - Epoch [6][3100/7330] lr: 1.000e-04, eta: 3 days, 12:32:36, time: 1.364, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2289, s0.loss_cls: 0.1857, s0.acc: 93.7000, s0.loss_bbox: 0.0980, s0.loss_mask: 0.2222, s1.loss_cls: 0.0892, s1.acc: 93.8517, s1.loss_bbox: 0.1011, s1.loss_mask: 0.1027, s2.loss_cls: 0.0445, s2.acc: 93.6303, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0478, loss: 1.2399 2022-09-12 19:32:59,266 - mmdet - INFO - Epoch [6][3150/7330] lr: 1.000e-04, eta: 3 days, 12:31:27, time: 1.354, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2186, s0.loss_cls: 0.1771, s0.acc: 93.8059, s0.loss_bbox: 0.0965, s0.loss_mask: 0.2194, s1.loss_cls: 0.0856, s1.acc: 94.0175, s1.loss_bbox: 0.1011, s1.loss_mask: 0.1031, s2.loss_cls: 0.0437, s2.acc: 93.8140, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0477, loss: 1.2163 2022-09-12 19:34:07,664 - mmdet - INFO - Epoch [6][3200/7330] lr: 1.000e-04, eta: 3 days, 12:30:22, time: 1.368, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2246, s0.loss_cls: 0.1741, s0.acc: 93.9778, s0.loss_bbox: 0.0927, s0.loss_mask: 0.2161, s1.loss_cls: 0.0849, s1.acc: 94.0489, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1000, s2.loss_cls: 0.0423, s2.acc: 94.0830, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0463, loss: 1.1978 2022-09-12 19:35:15,153 - mmdet - INFO - Epoch [6][3250/7330] lr: 1.000e-04, eta: 3 days, 12:29:11, time: 1.348, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2144, s0.loss_cls: 0.1717, s0.acc: 93.9626, s0.loss_bbox: 0.0920, s0.loss_mask: 0.2119, s1.loss_cls: 0.0833, s1.acc: 94.1715, s1.loss_bbox: 0.0979, s1.loss_mask: 0.0986, s2.loss_cls: 0.0421, s2.acc: 93.9096, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0457, loss: 1.1774 2022-09-12 19:36:22,696 - mmdet - INFO - Epoch [6][3300/7330] lr: 1.000e-04, eta: 3 days, 12:28:02, time: 1.353, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2191, s0.loss_cls: 0.1717, s0.acc: 94.0842, s0.loss_bbox: 0.0941, s0.loss_mask: 0.2117, s1.loss_cls: 0.0813, s1.acc: 94.3328, s1.loss_bbox: 0.1010, s1.loss_mask: 0.0988, s2.loss_cls: 0.0410, s2.acc: 94.1724, s2.loss_bbox: 0.0629, s2.loss_mask: 0.0466, loss: 1.1892 2022-09-12 19:37:29,619 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 19:37:29,622 - mmdet - INFO - Epoch [6][3350/7330] lr: 1.000e-04, eta: 3 days, 12:26:49, time: 1.338, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.2123, s0.loss_cls: 0.1698, s0.acc: 94.0967, s0.loss_bbox: 0.0955, s0.loss_mask: 0.2168, s1.loss_cls: 0.0820, s1.acc: 94.3402, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1014, s2.loss_cls: 0.0414, s2.acc: 94.1710, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0481, loss: 1.1904 2022-09-12 19:38:37,988 - mmdet - INFO - Epoch [6][3400/7330] lr: 1.000e-04, eta: 3 days, 12:25:43, time: 1.364, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2114, s0.loss_cls: 0.1693, s0.acc: 94.0205, s0.loss_bbox: 0.0964, s0.loss_mask: 0.2156, s1.loss_cls: 0.0818, s1.acc: 94.1841, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1018, s2.loss_cls: 0.0404, s2.acc: 94.1516, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0476, loss: 1.1850 2022-09-12 19:39:46,474 - mmdet - INFO - Epoch [6][3450/7330] lr: 1.000e-04, eta: 3 days, 12:24:39, time: 1.373, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2287, s0.loss_cls: 0.1685, s0.acc: 94.1082, s0.loss_bbox: 0.0913, s0.loss_mask: 0.2115, s1.loss_cls: 0.0812, s1.acc: 94.4023, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0998, s2.loss_cls: 0.0411, s2.acc: 94.1675, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0471, loss: 1.1834 2022-09-12 19:40:54,480 - mmdet - INFO - Epoch [6][3500/7330] lr: 1.000e-04, eta: 3 days, 12:23:32, time: 1.360, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2132, s0.loss_cls: 0.1594, s0.acc: 94.4316, s0.loss_bbox: 0.0874, s0.loss_mask: 0.2089, s1.loss_cls: 0.0771, s1.acc: 94.5924, s1.loss_bbox: 0.0936, s1.loss_mask: 0.0978, s2.loss_cls: 0.0397, s2.acc: 94.3609, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0459, loss: 1.1389 2022-09-12 19:42:01,084 - mmdet - INFO - Epoch [6][3550/7330] lr: 1.000e-04, eta: 3 days, 12:22:16, time: 1.332, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2158, s0.loss_cls: 0.1673, s0.acc: 94.0774, s0.loss_bbox: 0.0934, s0.loss_mask: 0.2089, s1.loss_cls: 0.0805, s1.acc: 94.2513, s1.loss_bbox: 0.0991, s1.loss_mask: 0.0982, s2.loss_cls: 0.0405, s2.acc: 94.0640, s2.loss_bbox: 0.0625, s2.loss_mask: 0.0460, loss: 1.1715 2022-09-12 19:43:08,653 - mmdet - INFO - Epoch [6][3600/7330] lr: 1.000e-04, eta: 3 days, 12:21:05, time: 1.344, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2083, s0.loss_cls: 0.1684, s0.acc: 94.1143, s0.loss_bbox: 0.0932, s0.loss_mask: 0.2106, s1.loss_cls: 0.0795, s1.acc: 94.3887, s1.loss_bbox: 0.0979, s1.loss_mask: 0.0986, s2.loss_cls: 0.0399, s2.acc: 94.2226, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0465, loss: 1.1642 2022-09-12 19:44:16,587 - mmdet - INFO - Epoch [6][3650/7330] lr: 1.000e-04, eta: 3 days, 12:19:59, time: 1.367, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0342, loss_semantic_seg: 0.2153, s0.loss_cls: 0.1776, s0.acc: 93.7019, s0.loss_bbox: 0.0970, s0.loss_mask: 0.2156, s1.loss_cls: 0.0843, s1.acc: 93.9424, s1.loss_bbox: 0.1035, s1.loss_mask: 0.1014, s2.loss_cls: 0.0428, s2.acc: 93.7756, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0471, loss: 1.2117 2022-09-12 19:45:24,590 - mmdet - INFO - Epoch [6][3700/7330] lr: 1.000e-04, eta: 3 days, 12:18:52, time: 1.360, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2105, s0.loss_cls: 0.1743, s0.acc: 93.9534, s0.loss_bbox: 0.0976, s0.loss_mask: 0.2194, s1.loss_cls: 0.0824, s1.acc: 94.2434, s1.loss_bbox: 0.1026, s1.loss_mask: 0.1031, s2.loss_cls: 0.0416, s2.acc: 94.0988, s2.loss_bbox: 0.0640, s2.loss_mask: 0.0486, loss: 1.2026 2022-09-12 19:46:33,429 - mmdet - INFO - Epoch [6][3750/7330] lr: 1.000e-04, eta: 3 days, 12:17:49, time: 1.375, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2154, s0.loss_cls: 0.1687, s0.acc: 94.1792, s0.loss_bbox: 0.0918, s0.loss_mask: 0.2099, s1.loss_cls: 0.0805, s1.acc: 94.4203, s1.loss_bbox: 0.0975, s1.loss_mask: 0.0983, s2.loss_cls: 0.0405, s2.acc: 94.2211, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0461, loss: 1.1669 2022-09-12 19:47:41,034 - mmdet - INFO - Epoch [6][3800/7330] lr: 1.000e-04, eta: 3 days, 12:16:40, time: 1.354, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2085, s0.loss_cls: 0.1704, s0.acc: 94.0981, s0.loss_bbox: 0.0922, s0.loss_mask: 0.2125, s1.loss_cls: 0.0812, s1.acc: 94.3124, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1006, s2.loss_cls: 0.0410, s2.acc: 94.1445, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0472, loss: 1.1716 2022-09-12 19:48:48,473 - mmdet - INFO - Epoch [6][3850/7330] lr: 1.000e-04, eta: 3 days, 12:15:29, time: 1.349, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2167, s0.loss_cls: 0.1761, s0.acc: 93.8635, s0.loss_bbox: 0.0965, s0.loss_mask: 0.2156, s1.loss_cls: 0.0846, s1.acc: 94.0831, s1.loss_bbox: 0.0983, s1.loss_mask: 0.1011, s2.loss_cls: 0.0425, s2.acc: 93.9319, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0475, loss: 1.1970 2022-09-12 19:49:55,888 - mmdet - INFO - Epoch [6][3900/7330] lr: 1.000e-04, eta: 3 days, 12:14:19, time: 1.348, data_time: 0.016, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2201, s0.loss_cls: 0.1804, s0.acc: 93.7483, s0.loss_bbox: 0.0978, s0.loss_mask: 0.2134, s1.loss_cls: 0.0861, s1.acc: 94.0481, s1.loss_bbox: 0.1014, s1.loss_mask: 0.0998, s2.loss_cls: 0.0434, s2.acc: 93.9090, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0473, loss: 1.2124 2022-09-12 19:51:03,804 - mmdet - INFO - Epoch [6][3950/7330] lr: 1.000e-04, eta: 3 days, 12:13:11, time: 1.358, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2128, s0.loss_cls: 0.1705, s0.acc: 94.0132, s0.loss_bbox: 0.0920, s0.loss_mask: 0.2095, s1.loss_cls: 0.0809, s1.acc: 94.2837, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0983, s2.loss_cls: 0.0410, s2.acc: 94.0845, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0460, loss: 1.1653 2022-09-12 19:52:11,853 - mmdet - INFO - Epoch [6][4000/7330] lr: 1.000e-04, eta: 3 days, 12:12:04, time: 1.361, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2129, s0.loss_cls: 0.1698, s0.acc: 94.0413, s0.loss_bbox: 0.0936, s0.loss_mask: 0.2167, s1.loss_cls: 0.0820, s1.acc: 94.1845, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1011, s2.loss_cls: 0.0410, s2.acc: 94.1650, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0473, loss: 1.1845 2022-09-12 19:53:20,926 - mmdet - INFO - Epoch [6][4050/7330] lr: 1.000e-04, eta: 3 days, 12:11:02, time: 1.381, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2071, s0.loss_cls: 0.1719, s0.acc: 93.9443, s0.loss_bbox: 0.0940, s0.loss_mask: 0.2126, s1.loss_cls: 0.0831, s1.acc: 94.1502, s1.loss_bbox: 0.0999, s1.loss_mask: 0.0985, s2.loss_cls: 0.0414, s2.acc: 94.0499, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0460, loss: 1.1711 2022-09-12 19:54:28,397 - mmdet - INFO - Epoch [6][4100/7330] lr: 1.000e-04, eta: 3 days, 12:09:52, time: 1.349, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0325, loss_semantic_seg: 0.2104, s0.loss_cls: 0.1766, s0.acc: 93.9287, s0.loss_bbox: 0.0955, s0.loss_mask: 0.2139, s1.loss_cls: 0.0849, s1.acc: 94.0945, s1.loss_bbox: 0.1013, s1.loss_mask: 0.0998, s2.loss_cls: 0.0419, s2.acc: 93.9942, s2.loss_bbox: 0.0631, s2.loss_mask: 0.0464, loss: 1.1931 2022-09-12 19:55:37,029 - mmdet - INFO - Epoch [6][4150/7330] lr: 1.000e-04, eta: 3 days, 12:08:48, time: 1.373, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2091, s0.loss_cls: 0.1679, s0.acc: 94.2314, s0.loss_bbox: 0.0897, s0.loss_mask: 0.2090, s1.loss_cls: 0.0823, s1.acc: 94.3341, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0978, s2.loss_cls: 0.0413, s2.acc: 94.1704, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0458, loss: 1.1527 2022-09-12 19:56:44,440 - mmdet - INFO - Epoch [6][4200/7330] lr: 1.000e-04, eta: 3 days, 12:07:38, time: 1.348, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2118, s0.loss_cls: 0.1746, s0.acc: 93.8384, s0.loss_bbox: 0.0962, s0.loss_mask: 0.2170, s1.loss_cls: 0.0851, s1.acc: 93.9835, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1012, s2.loss_cls: 0.0426, s2.acc: 93.7792, s2.loss_bbox: 0.0611, s2.loss_mask: 0.0472, loss: 1.1979 2022-09-12 19:57:52,176 - mmdet - INFO - Epoch [6][4250/7330] lr: 1.000e-04, eta: 3 days, 12:06:28, time: 1.353, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2065, s0.loss_cls: 0.1635, s0.acc: 94.2407, s0.loss_bbox: 0.0904, s0.loss_mask: 0.2093, s1.loss_cls: 0.0775, s1.acc: 94.5460, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0979, s2.loss_cls: 0.0395, s2.acc: 94.3398, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0459, loss: 1.1408 2022-09-12 19:59:00,855 - mmdet - INFO - Epoch [6][4300/7330] lr: 1.000e-04, eta: 3 days, 12:05:25, time: 1.375, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2069, s0.loss_cls: 0.1712, s0.acc: 93.9458, s0.loss_bbox: 0.0957, s0.loss_mask: 0.2210, s1.loss_cls: 0.0821, s1.acc: 94.0931, s1.loss_bbox: 0.1017, s1.loss_mask: 0.1042, s2.loss_cls: 0.0412, s2.acc: 94.0472, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0488, loss: 1.1917 2022-09-12 20:00:09,195 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 20:00:09,201 - mmdet - INFO - Epoch [6][4350/7330] lr: 1.000e-04, eta: 3 days, 12:04:20, time: 1.367, data_time: 0.017, memory: 64759, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2135, s0.loss_cls: 0.1646, s0.acc: 94.2246, s0.loss_bbox: 0.0909, s0.loss_mask: 0.2144, s1.loss_cls: 0.0779, s1.acc: 94.5086, s1.loss_bbox: 0.0968, s1.loss_mask: 0.1002, s2.loss_cls: 0.0394, s2.acc: 94.2709, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0469, loss: 1.1624 2022-09-12 20:01:17,581 - mmdet - INFO - Epoch [6][4400/7330] lr: 1.000e-04, eta: 3 days, 12:03:15, time: 1.368, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2173, s0.loss_cls: 0.1728, s0.acc: 93.9507, s0.loss_bbox: 0.0959, s0.loss_mask: 0.2226, s1.loss_cls: 0.0832, s1.acc: 94.1736, s1.loss_bbox: 0.1022, s1.loss_mask: 0.1044, s2.loss_cls: 0.0422, s2.acc: 93.9682, s2.loss_bbox: 0.0623, s2.loss_mask: 0.0491, loss: 1.2102 2022-09-12 20:02:25,710 - mmdet - INFO - Epoch [6][4450/7330] lr: 1.000e-04, eta: 3 days, 12:02:08, time: 1.363, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.2095, s0.loss_cls: 0.1622, s0.acc: 94.2996, s0.loss_bbox: 0.0889, s0.loss_mask: 0.2055, s1.loss_cls: 0.0776, s1.acc: 94.4586, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0957, s2.loss_cls: 0.0394, s2.acc: 94.3179, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0446, loss: 1.1354 2022-09-12 20:03:34,690 - mmdet - INFO - Epoch [6][4500/7330] lr: 1.000e-04, eta: 3 days, 12:01:06, time: 1.380, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.2062, s0.loss_cls: 0.1580, s0.acc: 94.4722, s0.loss_bbox: 0.0880, s0.loss_mask: 0.2039, s1.loss_cls: 0.0741, s1.acc: 94.8448, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0957, s2.loss_cls: 0.0371, s2.acc: 94.6577, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0451, loss: 1.1118 2022-09-12 20:04:42,853 - mmdet - INFO - Epoch [6][4550/7330] lr: 1.000e-04, eta: 3 days, 11:59:59, time: 1.363, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0338, loss_semantic_seg: 0.2130, s0.loss_cls: 0.1681, s0.acc: 94.0320, s0.loss_bbox: 0.0934, s0.loss_mask: 0.2154, s1.loss_cls: 0.0804, s1.acc: 94.2543, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1021, s2.loss_cls: 0.0404, s2.acc: 94.1399, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0474, loss: 1.1803 2022-09-12 20:05:50,493 - mmdet - INFO - Epoch [6][4600/7330] lr: 1.000e-04, eta: 3 days, 11:58:50, time: 1.351, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.2110, s0.loss_cls: 0.1546, s0.acc: 94.5369, s0.loss_bbox: 0.0876, s0.loss_mask: 0.2133, s1.loss_cls: 0.0750, s1.acc: 94.6063, s1.loss_bbox: 0.0954, s1.loss_mask: 0.1002, s2.loss_cls: 0.0383, s2.acc: 94.4110, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0468, loss: 1.1309 2022-09-12 20:06:58,493 - mmdet - INFO - Epoch [6][4650/7330] lr: 1.000e-04, eta: 3 days, 11:57:43, time: 1.362, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0344, loss_semantic_seg: 0.2105, s0.loss_cls: 0.1796, s0.acc: 93.6443, s0.loss_bbox: 0.0980, s0.loss_mask: 0.2134, s1.loss_cls: 0.0870, s1.acc: 93.7988, s1.loss_bbox: 0.1047, s1.loss_mask: 0.0993, s2.loss_cls: 0.0439, s2.acc: 93.6053, s2.loss_bbox: 0.0637, s2.loss_mask: 0.0464, loss: 1.2097 2022-09-12 20:08:05,091 - mmdet - INFO - Epoch [6][4700/7330] lr: 1.000e-04, eta: 3 days, 11:56:28, time: 1.332, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2094, s0.loss_cls: 0.1611, s0.acc: 94.1499, s0.loss_bbox: 0.0928, s0.loss_mask: 0.2124, s1.loss_cls: 0.0777, s1.acc: 94.3813, s1.loss_bbox: 0.0994, s1.loss_mask: 0.0987, s2.loss_cls: 0.0391, s2.acc: 94.2014, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0466, loss: 1.1533 2022-09-12 20:09:13,428 - mmdet - INFO - Epoch [6][4750/7330] lr: 1.000e-04, eta: 3 days, 11:55:22, time: 1.367, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2235, s0.loss_cls: 0.1730, s0.acc: 94.0330, s0.loss_bbox: 0.0915, s0.loss_mask: 0.2112, s1.loss_cls: 0.0819, s1.acc: 94.3408, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0989, s2.loss_cls: 0.0412, s2.acc: 94.1827, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0465, loss: 1.1817 2022-09-12 20:10:21,435 - mmdet - INFO - Epoch [6][4800/7330] lr: 1.000e-04, eta: 3 days, 11:54:15, time: 1.359, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2105, s0.loss_cls: 0.1701, s0.acc: 94.0144, s0.loss_bbox: 0.0942, s0.loss_mask: 0.2086, s1.loss_cls: 0.0809, s1.acc: 94.3587, s1.loss_bbox: 0.0994, s1.loss_mask: 0.0966, s2.loss_cls: 0.0411, s2.acc: 94.1351, s2.loss_bbox: 0.0632, s2.loss_mask: 0.0453, loss: 1.1713 2022-09-12 20:11:28,948 - mmdet - INFO - Epoch [6][4850/7330] lr: 1.000e-04, eta: 3 days, 11:53:05, time: 1.352, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2114, s0.loss_cls: 0.1687, s0.acc: 94.1548, s0.loss_bbox: 0.0916, s0.loss_mask: 0.2091, s1.loss_cls: 0.0809, s1.acc: 94.3561, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0981, s2.loss_cls: 0.0407, s2.acc: 94.2639, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0461, loss: 1.1636 2022-09-12 20:12:36,069 - mmdet - INFO - Epoch [6][4900/7330] lr: 1.000e-04, eta: 3 days, 11:51:53, time: 1.343, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2124, s0.loss_cls: 0.1678, s0.acc: 94.1440, s0.loss_bbox: 0.0946, s0.loss_mask: 0.2145, s1.loss_cls: 0.0808, s1.acc: 94.3052, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1002, s2.loss_cls: 0.0406, s2.acc: 94.1867, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0470, loss: 1.1749 2022-09-12 20:13:44,537 - mmdet - INFO - Epoch [6][4950/7330] lr: 1.000e-04, eta: 3 days, 11:50:48, time: 1.369, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2068, s0.loss_cls: 0.1724, s0.acc: 94.0349, s0.loss_bbox: 0.0931, s0.loss_mask: 0.2124, s1.loss_cls: 0.0830, s1.acc: 94.1943, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0990, s2.loss_cls: 0.0421, s2.acc: 93.9704, s2.loss_bbox: 0.0611, s2.loss_mask: 0.0465, loss: 1.1742 2022-09-12 20:14:51,577 - mmdet - INFO - Epoch [6][5000/7330] lr: 1.000e-04, eta: 3 days, 11:49:36, time: 1.341, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2111, s0.loss_cls: 0.1649, s0.acc: 94.2395, s0.loss_bbox: 0.0902, s0.loss_mask: 0.2121, s1.loss_cls: 0.0806, s1.acc: 94.2983, s1.loss_bbox: 0.0964, s1.loss_mask: 0.0994, s2.loss_cls: 0.0407, s2.acc: 94.0857, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0460, loss: 1.1581 2022-09-12 20:15:59,093 - mmdet - INFO - Epoch [6][5050/7330] lr: 1.000e-04, eta: 3 days, 11:48:26, time: 1.350, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.2245, s0.loss_cls: 0.1675, s0.acc: 94.1453, s0.loss_bbox: 0.0912, s0.loss_mask: 0.2136, s1.loss_cls: 0.0819, s1.acc: 94.2702, s1.loss_bbox: 0.0977, s1.loss_mask: 0.1002, s2.loss_cls: 0.0411, s2.acc: 94.0103, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0470, loss: 1.1828 2022-09-12 20:17:06,709 - mmdet - INFO - Epoch [6][5100/7330] lr: 1.000e-04, eta: 3 days, 11:47:16, time: 1.352, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2098, s0.loss_cls: 0.1798, s0.acc: 93.7947, s0.loss_bbox: 0.0988, s0.loss_mask: 0.2230, s1.loss_cls: 0.0867, s1.acc: 93.9371, s1.loss_bbox: 0.1043, s1.loss_mask: 0.1040, s2.loss_cls: 0.0435, s2.acc: 93.7820, s2.loss_bbox: 0.0646, s2.loss_mask: 0.0489, loss: 1.2244 2022-09-12 20:18:15,301 - mmdet - INFO - Epoch [6][5150/7330] lr: 1.000e-04, eta: 3 days, 11:46:12, time: 1.372, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2165, s0.loss_cls: 0.1690, s0.acc: 94.0789, s0.loss_bbox: 0.0932, s0.loss_mask: 0.2127, s1.loss_cls: 0.0804, s1.acc: 94.3239, s1.loss_bbox: 0.0984, s1.loss_mask: 0.0993, s2.loss_cls: 0.0403, s2.acc: 94.2101, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0463, loss: 1.1767 2022-09-12 20:19:22,824 - mmdet - INFO - Epoch [6][5200/7330] lr: 1.000e-04, eta: 3 days, 11:45:02, time: 1.349, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.2167, s0.loss_cls: 0.1642, s0.acc: 94.3303, s0.loss_bbox: 0.0880, s0.loss_mask: 0.2118, s1.loss_cls: 0.0792, s1.acc: 94.5755, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0987, s2.loss_cls: 0.0403, s2.acc: 94.4110, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0469, loss: 1.1522 2022-09-12 20:20:30,192 - mmdet - INFO - Epoch [6][5250/7330] lr: 1.000e-04, eta: 3 days, 11:43:51, time: 1.349, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2175, s0.loss_cls: 0.1673, s0.acc: 94.1387, s0.loss_bbox: 0.0930, s0.loss_mask: 0.2205, s1.loss_cls: 0.0811, s1.acc: 94.3183, s1.loss_bbox: 0.0980, s1.loss_mask: 0.1029, s2.loss_cls: 0.0413, s2.acc: 94.0247, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0483, loss: 1.1907 2022-09-12 20:21:38,607 - mmdet - INFO - Epoch [6][5300/7330] lr: 1.000e-04, eta: 3 days, 11:42:46, time: 1.368, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.2161, s0.loss_cls: 0.1693, s0.acc: 94.0493, s0.loss_bbox: 0.0935, s0.loss_mask: 0.2091, s1.loss_cls: 0.0808, s1.acc: 94.2405, s1.loss_bbox: 0.1005, s1.loss_mask: 0.0981, s2.loss_cls: 0.0411, s2.acc: 94.0496, s2.loss_bbox: 0.0624, s2.loss_mask: 0.0459, loss: 1.1706 2022-09-12 20:22:46,668 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 20:22:46,673 - mmdet - INFO - Epoch [6][5350/7330] lr: 1.000e-04, eta: 3 days, 11:41:39, time: 1.361, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2123, s0.loss_cls: 0.1662, s0.acc: 94.1821, s0.loss_bbox: 0.0907, s0.loss_mask: 0.2096, s1.loss_cls: 0.0793, s1.acc: 94.5038, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0988, s2.loss_cls: 0.0396, s2.acc: 94.3733, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0463, loss: 1.1548 2022-09-12 20:23:54,343 - mmdet - INFO - Epoch [6][5400/7330] lr: 1.000e-04, eta: 3 days, 11:40:30, time: 1.353, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0350, loss_semantic_seg: 0.2139, s0.loss_cls: 0.1742, s0.acc: 93.7981, s0.loss_bbox: 0.0977, s0.loss_mask: 0.2149, s1.loss_cls: 0.0832, s1.acc: 94.1234, s1.loss_bbox: 0.1018, s1.loss_mask: 0.1004, s2.loss_cls: 0.0424, s2.acc: 93.8254, s2.loss_bbox: 0.0625, s2.loss_mask: 0.0468, loss: 1.2002 2022-09-12 20:25:02,184 - mmdet - INFO - Epoch [6][5450/7330] lr: 1.000e-04, eta: 3 days, 11:39:22, time: 1.357, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2165, s0.loss_cls: 0.1735, s0.acc: 93.9495, s0.loss_bbox: 0.0968, s0.loss_mask: 0.2166, s1.loss_cls: 0.0834, s1.acc: 94.1945, s1.loss_bbox: 0.1027, s1.loss_mask: 0.1009, s2.loss_cls: 0.0422, s2.acc: 94.0588, s2.loss_bbox: 0.0628, s2.loss_mask: 0.0470, loss: 1.2016 2022-09-12 20:26:09,949 - mmdet - INFO - Epoch [6][5500/7330] lr: 1.000e-04, eta: 3 days, 11:38:13, time: 1.355, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2148, s0.loss_cls: 0.1731, s0.acc: 94.0186, s0.loss_bbox: 0.0934, s0.loss_mask: 0.2202, s1.loss_cls: 0.0827, s1.acc: 94.2590, s1.loss_bbox: 0.0997, s1.loss_mask: 0.1026, s2.loss_cls: 0.0421, s2.acc: 94.1088, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0480, loss: 1.1979 2022-09-12 20:27:18,326 - mmdet - INFO - Epoch [6][5550/7330] lr: 1.000e-04, eta: 3 days, 11:37:08, time: 1.367, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2085, s0.loss_cls: 0.1649, s0.acc: 94.0974, s0.loss_bbox: 0.0972, s0.loss_mask: 0.2237, s1.loss_cls: 0.0787, s1.acc: 94.3270, s1.loss_bbox: 0.1013, s1.loss_mask: 0.1037, s2.loss_cls: 0.0397, s2.acc: 94.2001, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0483, loss: 1.1869 2022-09-12 20:28:26,551 - mmdet - INFO - Epoch [6][5600/7330] lr: 1.000e-04, eta: 3 days, 11:36:02, time: 1.364, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.2044, s0.loss_cls: 0.1615, s0.acc: 94.3503, s0.loss_bbox: 0.0857, s0.loss_mask: 0.2095, s1.loss_cls: 0.0778, s1.acc: 94.5991, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0982, s2.loss_cls: 0.0395, s2.acc: 94.3400, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0459, loss: 1.1271 2022-09-12 20:29:34,085 - mmdet - INFO - Epoch [6][5650/7330] lr: 1.000e-04, eta: 3 days, 11:34:52, time: 1.349, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2126, s0.loss_cls: 0.1687, s0.acc: 94.0186, s0.loss_bbox: 0.0939, s0.loss_mask: 0.2135, s1.loss_cls: 0.0804, s1.acc: 94.3016, s1.loss_bbox: 0.0983, s1.loss_mask: 0.0991, s2.loss_cls: 0.0404, s2.acc: 94.2096, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0466, loss: 1.1763 2022-09-12 20:30:42,326 - mmdet - INFO - Epoch [6][5700/7330] lr: 1.000e-04, eta: 3 days, 11:33:46, time: 1.366, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2088, s0.loss_cls: 0.1806, s0.acc: 93.7659, s0.loss_bbox: 0.0974, s0.loss_mask: 0.2167, s1.loss_cls: 0.0846, s1.acc: 94.1135, s1.loss_bbox: 0.1019, s1.loss_mask: 0.1017, s2.loss_cls: 0.0424, s2.acc: 93.9313, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0481, loss: 1.2045 2022-09-12 20:31:51,155 - mmdet - INFO - Epoch [6][5750/7330] lr: 1.000e-04, eta: 3 days, 11:32:43, time: 1.376, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0344, loss_semantic_seg: 0.2140, s0.loss_cls: 0.1805, s0.acc: 93.6887, s0.loss_bbox: 0.0967, s0.loss_mask: 0.2148, s1.loss_cls: 0.0865, s1.acc: 94.0172, s1.loss_bbox: 0.0993, s1.loss_mask: 0.1005, s2.loss_cls: 0.0426, s2.acc: 93.9128, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0475, loss: 1.2058 2022-09-12 20:32:59,382 - mmdet - INFO - Epoch [6][5800/7330] lr: 1.000e-04, eta: 3 days, 11:31:37, time: 1.366, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0339, loss_semantic_seg: 0.1978, s0.loss_cls: 0.1777, s0.acc: 93.6936, s0.loss_bbox: 0.0965, s0.loss_mask: 0.2127, s1.loss_cls: 0.0853, s1.acc: 93.9589, s1.loss_bbox: 0.1018, s1.loss_mask: 0.1001, s2.loss_cls: 0.0434, s2.acc: 93.8360, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0474, loss: 1.1870 2022-09-12 20:34:06,972 - mmdet - INFO - Epoch [6][5850/7330] lr: 1.000e-04, eta: 3 days, 11:30:27, time: 1.350, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.1997, s0.loss_cls: 0.1689, s0.acc: 93.9795, s0.loss_bbox: 0.0931, s0.loss_mask: 0.2148, s1.loss_cls: 0.0818, s1.acc: 94.1203, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1010, s2.loss_cls: 0.0406, s2.acc: 94.0186, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0477, loss: 1.1688 2022-09-12 20:35:14,945 - mmdet - INFO - Epoch [6][5900/7330] lr: 1.000e-04, eta: 3 days, 11:29:20, time: 1.361, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2109, s0.loss_cls: 0.1719, s0.acc: 93.9768, s0.loss_bbox: 0.0919, s0.loss_mask: 0.2096, s1.loss_cls: 0.0848, s1.acc: 94.0275, s1.loss_bbox: 0.0968, s1.loss_mask: 0.0980, s2.loss_cls: 0.0423, s2.acc: 93.9235, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0460, loss: 1.1691 2022-09-12 20:36:22,516 - mmdet - INFO - Epoch [6][5950/7330] lr: 1.000e-04, eta: 3 days, 11:28:10, time: 1.351, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.2111, s0.loss_cls: 0.1492, s0.acc: 94.7388, s0.loss_bbox: 0.0835, s0.loss_mask: 0.2087, s1.loss_cls: 0.0718, s1.acc: 94.9599, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0975, s2.loss_cls: 0.0361, s2.acc: 94.7725, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0457, loss: 1.1035 2022-09-12 20:37:31,256 - mmdet - INFO - Epoch [6][6000/7330] lr: 1.000e-04, eta: 3 days, 11:27:07, time: 1.375, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0330, loss_semantic_seg: 0.2072, s0.loss_cls: 0.1720, s0.acc: 93.9297, s0.loss_bbox: 0.0948, s0.loss_mask: 0.2171, s1.loss_cls: 0.0820, s1.acc: 94.2774, s1.loss_bbox: 0.1005, s1.loss_mask: 0.1020, s2.loss_cls: 0.0422, s2.acc: 93.9678, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0472, loss: 1.1861 2022-09-12 20:38:39,217 - mmdet - INFO - Epoch [6][6050/7330] lr: 1.000e-04, eta: 3 days, 11:25:59, time: 1.359, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0331, loss_semantic_seg: 0.2041, s0.loss_cls: 0.1657, s0.acc: 94.1357, s0.loss_bbox: 0.0953, s0.loss_mask: 0.2124, s1.loss_cls: 0.0785, s1.acc: 94.4801, s1.loss_bbox: 0.1007, s1.loss_mask: 0.0989, s2.loss_cls: 0.0396, s2.acc: 94.4164, s2.loss_bbox: 0.0625, s2.loss_mask: 0.0467, loss: 1.1656 2022-09-12 20:39:46,491 - mmdet - INFO - Epoch [6][6100/7330] lr: 1.000e-04, eta: 3 days, 11:24:47, time: 1.344, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.2219, s0.loss_cls: 0.1726, s0.acc: 93.9917, s0.loss_bbox: 0.0973, s0.loss_mask: 0.2141, s1.loss_cls: 0.0824, s1.acc: 94.2806, s1.loss_bbox: 0.1022, s1.loss_mask: 0.0996, s2.loss_cls: 0.0418, s2.acc: 94.1645, s2.loss_bbox: 0.0623, s2.loss_mask: 0.0467, loss: 1.2036 2022-09-12 20:40:53,440 - mmdet - INFO - Epoch [6][6150/7330] lr: 1.000e-04, eta: 3 days, 11:23:35, time: 1.341, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.2091, s0.loss_cls: 0.1642, s0.acc: 94.2212, s0.loss_bbox: 0.0913, s0.loss_mask: 0.2068, s1.loss_cls: 0.0793, s1.acc: 94.4873, s1.loss_bbox: 0.0936, s1.loss_mask: 0.0959, s2.loss_cls: 0.0392, s2.acc: 94.3508, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0446, loss: 1.1377 2022-09-12 20:42:01,326 - mmdet - INFO - Epoch [6][6200/7330] lr: 1.000e-04, eta: 3 days, 11:22:27, time: 1.356, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0329, loss_semantic_seg: 0.2156, s0.loss_cls: 0.1663, s0.acc: 94.1760, s0.loss_bbox: 0.0900, s0.loss_mask: 0.2169, s1.loss_cls: 0.0812, s1.acc: 94.2650, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1003, s2.loss_cls: 0.0409, s2.acc: 94.1221, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0465, loss: 1.1735 2022-09-12 20:43:09,851 - mmdet - INFO - Epoch [6][6250/7330] lr: 1.000e-04, eta: 3 days, 11:21:22, time: 1.372, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0352, loss_semantic_seg: 0.2118, s0.loss_cls: 0.1694, s0.acc: 94.0674, s0.loss_bbox: 0.0973, s0.loss_mask: 0.2149, s1.loss_cls: 0.0813, s1.acc: 94.2729, s1.loss_bbox: 0.1004, s1.loss_mask: 0.1013, s2.loss_cls: 0.0409, s2.acc: 94.0771, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0473, loss: 1.1884 2022-09-12 20:44:17,387 - mmdet - INFO - Epoch [6][6300/7330] lr: 1.000e-04, eta: 3 days, 11:20:13, time: 1.351, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2161, s0.loss_cls: 0.1706, s0.acc: 94.0920, s0.loss_bbox: 0.0936, s0.loss_mask: 0.2159, s1.loss_cls: 0.0815, s1.acc: 94.4362, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1015, s2.loss_cls: 0.0411, s2.acc: 94.2366, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0480, loss: 1.1853 2022-09-12 20:45:24,905 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 20:45:24,907 - mmdet - INFO - Epoch [6][6350/7330] lr: 1.000e-04, eta: 3 days, 11:19:03, time: 1.350, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2233, s0.loss_cls: 0.1699, s0.acc: 93.9971, s0.loss_bbox: 0.0950, s0.loss_mask: 0.2220, s1.loss_cls: 0.0812, s1.acc: 94.1895, s1.loss_bbox: 0.1024, s1.loss_mask: 0.1032, s2.loss_cls: 0.0412, s2.acc: 93.9456, s2.loss_bbox: 0.0630, s2.loss_mask: 0.0475, loss: 1.2037 2022-09-12 20:46:32,263 - mmdet - INFO - Epoch [6][6400/7330] lr: 1.000e-04, eta: 3 days, 11:17:52, time: 1.347, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.2073, s0.loss_cls: 0.1662, s0.acc: 94.2659, s0.loss_bbox: 0.0906, s0.loss_mask: 0.2121, s1.loss_cls: 0.0797, s1.acc: 94.4937, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0998, s2.loss_cls: 0.0404, s2.acc: 94.2754, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0467, loss: 1.1575 2022-09-12 20:47:41,709 - mmdet - INFO - Epoch [6][6450/7330] lr: 1.000e-04, eta: 3 days, 11:16:52, time: 1.389, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2195, s0.loss_cls: 0.1692, s0.acc: 94.0083, s0.loss_bbox: 0.0949, s0.loss_mask: 0.2168, s1.loss_cls: 0.0821, s1.acc: 94.1318, s1.loss_bbox: 0.1021, s1.loss_mask: 0.1019, s2.loss_cls: 0.0412, s2.acc: 94.0103, s2.loss_bbox: 0.0623, s2.loss_mask: 0.0481, loss: 1.1968 2022-09-12 20:48:48,901 - mmdet - INFO - Epoch [6][6500/7330] lr: 1.000e-04, eta: 3 days, 11:15:41, time: 1.344, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.2157, s0.loss_cls: 0.1711, s0.acc: 93.9946, s0.loss_bbox: 0.0929, s0.loss_mask: 0.2141, s1.loss_cls: 0.0819, s1.acc: 94.2414, s1.loss_bbox: 0.1001, s1.loss_mask: 0.1003, s2.loss_cls: 0.0412, s2.acc: 94.1671, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0469, loss: 1.1836 2022-09-12 20:49:56,573 - mmdet - INFO - Epoch [6][6550/7330] lr: 1.000e-04, eta: 3 days, 11:14:32, time: 1.353, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2120, s0.loss_cls: 0.1614, s0.acc: 94.3276, s0.loss_bbox: 0.0878, s0.loss_mask: 0.2061, s1.loss_cls: 0.0775, s1.acc: 94.5905, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0974, s2.loss_cls: 0.0396, s2.acc: 94.4116, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0459, loss: 1.1389 2022-09-12 20:51:04,328 - mmdet - INFO - Epoch [6][6600/7330] lr: 1.000e-04, eta: 3 days, 11:13:23, time: 1.355, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2031, s0.loss_cls: 0.1559, s0.acc: 94.5730, s0.loss_bbox: 0.0878, s0.loss_mask: 0.2098, s1.loss_cls: 0.0751, s1.acc: 94.8018, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0980, s2.loss_cls: 0.0373, s2.acc: 94.6446, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0455, loss: 1.1175 2022-09-12 20:52:12,414 - mmdet - INFO - Epoch [6][6650/7330] lr: 1.000e-04, eta: 3 days, 11:12:16, time: 1.362, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2194, s0.loss_cls: 0.1699, s0.acc: 94.0654, s0.loss_bbox: 0.0960, s0.loss_mask: 0.2195, s1.loss_cls: 0.0809, s1.acc: 94.2955, s1.loss_bbox: 0.1011, s1.loss_mask: 0.1019, s2.loss_cls: 0.0404, s2.acc: 94.2555, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0476, loss: 1.1957 2022-09-12 20:53:20,885 - mmdet - INFO - Epoch [6][6700/7330] lr: 1.000e-04, eta: 3 days, 11:11:11, time: 1.369, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2166, s0.loss_cls: 0.1712, s0.acc: 94.0737, s0.loss_bbox: 0.0909, s0.loss_mask: 0.2119, s1.loss_cls: 0.0823, s1.acc: 94.3775, s1.loss_bbox: 0.0964, s1.loss_mask: 0.0987, s2.loss_cls: 0.0411, s2.acc: 94.2175, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0460, loss: 1.1727 2022-09-12 20:54:28,961 - mmdet - INFO - Epoch [6][6750/7330] lr: 1.000e-04, eta: 3 days, 11:10:04, time: 1.362, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.2126, s0.loss_cls: 0.1635, s0.acc: 94.1743, s0.loss_bbox: 0.0895, s0.loss_mask: 0.2071, s1.loss_cls: 0.0793, s1.acc: 94.3758, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0971, s2.loss_cls: 0.0396, s2.acc: 94.3615, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0458, loss: 1.1463 2022-09-12 20:55:37,446 - mmdet - INFO - Epoch [6][6800/7330] lr: 1.000e-04, eta: 3 days, 11:08:59, time: 1.368, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2100, s0.loss_cls: 0.1682, s0.acc: 94.0095, s0.loss_bbox: 0.0918, s0.loss_mask: 0.2102, s1.loss_cls: 0.0821, s1.acc: 94.1441, s1.loss_bbox: 0.0969, s1.loss_mask: 0.0979, s2.loss_cls: 0.0412, s2.acc: 94.0044, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0459, loss: 1.1611 2022-09-12 20:56:44,907 - mmdet - INFO - Epoch [6][6850/7330] lr: 1.000e-04, eta: 3 days, 11:07:49, time: 1.351, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2057, s0.loss_cls: 0.1632, s0.acc: 94.2305, s0.loss_bbox: 0.0927, s0.loss_mask: 0.2139, s1.loss_cls: 0.0792, s1.acc: 94.4474, s1.loss_bbox: 0.0989, s1.loss_mask: 0.0989, s2.loss_cls: 0.0399, s2.acc: 94.2039, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0459, loss: 1.1537 2022-09-12 20:57:54,868 - mmdet - INFO - Epoch [6][6900/7330] lr: 1.000e-04, eta: 3 days, 11:06:51, time: 1.399, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.2124, s0.loss_cls: 0.1624, s0.acc: 94.3340, s0.loss_bbox: 0.0899, s0.loss_mask: 0.2109, s1.loss_cls: 0.0785, s1.acc: 94.5958, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0990, s2.loss_cls: 0.0393, s2.acc: 94.5167, s2.loss_bbox: 0.0620, s2.loss_mask: 0.0466, loss: 1.1508 2022-09-12 20:59:05,812 - mmdet - INFO - Epoch [6][6950/7330] lr: 1.000e-04, eta: 3 days, 11:05:59, time: 1.419, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2155, s0.loss_cls: 0.1710, s0.acc: 93.9990, s0.loss_bbox: 0.0940, s0.loss_mask: 0.2160, s1.loss_cls: 0.0823, s1.acc: 94.2195, s1.loss_bbox: 0.1000, s1.loss_mask: 0.1013, s2.loss_cls: 0.0413, s2.acc: 94.1547, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0477, loss: 1.1876 2022-09-12 21:00:13,784 - mmdet - INFO - Epoch [6][7000/7330] lr: 1.000e-04, eta: 3 days, 11:04:51, time: 1.359, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2148, s0.loss_cls: 0.1720, s0.acc: 94.0681, s0.loss_bbox: 0.0952, s0.loss_mask: 0.2115, s1.loss_cls: 0.0816, s1.acc: 94.3547, s1.loss_bbox: 0.0988, s1.loss_mask: 0.0984, s2.loss_cls: 0.0410, s2.acc: 94.1311, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0462, loss: 1.1798 2022-09-12 21:01:21,580 - mmdet - INFO - Epoch [6][7050/7330] lr: 1.000e-04, eta: 3 days, 11:03:43, time: 1.356, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.1997, s0.loss_cls: 0.1754, s0.acc: 93.8826, s0.loss_bbox: 0.0961, s0.loss_mask: 0.2153, s1.loss_cls: 0.0835, s1.acc: 94.1274, s1.loss_bbox: 0.0999, s1.loss_mask: 0.1006, s2.loss_cls: 0.0415, s2.acc: 94.1101, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0472, loss: 1.1799 2022-09-12 21:02:31,336 - mmdet - INFO - Epoch [6][7100/7330] lr: 1.000e-04, eta: 3 days, 11:02:44, time: 1.395, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2060, s0.loss_cls: 0.1705, s0.acc: 94.0457, s0.loss_bbox: 0.0926, s0.loss_mask: 0.2209, s1.loss_cls: 0.0811, s1.acc: 94.3364, s1.loss_bbox: 0.0966, s1.loss_mask: 0.1043, s2.loss_cls: 0.0406, s2.acc: 94.2055, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0495, loss: 1.1814 2022-09-12 21:03:40,195 - mmdet - INFO - Epoch [6][7150/7330] lr: 1.000e-04, eta: 3 days, 11:01:41, time: 1.377, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0336, loss_semantic_seg: 0.2105, s0.loss_cls: 0.1740, s0.acc: 93.9294, s0.loss_bbox: 0.0951, s0.loss_mask: 0.2161, s1.loss_cls: 0.0820, s1.acc: 94.2900, s1.loss_bbox: 0.0995, s1.loss_mask: 0.1005, s2.loss_cls: 0.0409, s2.acc: 94.1797, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0471, loss: 1.1858 2022-09-12 21:04:47,888 - mmdet - INFO - Epoch [6][7200/7330] lr: 1.000e-04, eta: 3 days, 11:00:32, time: 1.354, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0332, loss_semantic_seg: 0.2203, s0.loss_cls: 0.1823, s0.acc: 93.6218, s0.loss_bbox: 0.0955, s0.loss_mask: 0.2108, s1.loss_cls: 0.0882, s1.acc: 93.8136, s1.loss_bbox: 0.1008, s1.loss_mask: 0.0986, s2.loss_cls: 0.0439, s2.acc: 93.8348, s2.loss_bbox: 0.0634, s2.loss_mask: 0.0464, loss: 1.2097 2022-09-12 21:05:56,614 - mmdet - INFO - Epoch [6][7250/7330] lr: 1.000e-04, eta: 3 days, 10:59:28, time: 1.374, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.2115, s0.loss_cls: 0.1706, s0.acc: 93.9387, s0.loss_bbox: 0.0953, s0.loss_mask: 0.2122, s1.loss_cls: 0.0820, s1.acc: 94.1421, s1.loss_bbox: 0.1016, s1.loss_mask: 0.0991, s2.loss_cls: 0.0412, s2.acc: 94.0328, s2.loss_bbox: 0.0629, s2.loss_mask: 0.0461, loss: 1.1827 2022-09-12 21:07:05,299 - mmdet - INFO - Epoch [6][7300/7330] lr: 1.000e-04, eta: 3 days, 10:58:24, time: 1.374, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2120, s0.loss_cls: 0.1686, s0.acc: 94.1636, s0.loss_bbox: 0.0931, s0.loss_mask: 0.2167, s1.loss_cls: 0.0810, s1.acc: 94.3435, s1.loss_bbox: 0.0992, s1.loss_mask: 0.1024, s2.loss_cls: 0.0413, s2.acc: 94.1060, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0478, loss: 1.1808 2022-09-12 21:07:55,810 - mmdet - INFO - Saving checkpoint at 6 epochs 2022-09-12 21:11:37,537 - mmdet - INFO - Evaluating bbox... 2022-09-12 21:12:41,998 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.526 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.715 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.585 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.375 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.569 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.709 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.709 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.709 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.557 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.753 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.827 2022-09-12 21:12:41,998 - mmdet - INFO - Evaluating segm... 2022-09-12 21:13:58,753 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.459 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.695 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.503 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.276 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.503 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.629 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.620 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.620 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.620 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.456 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.660 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.757 2022-09-12 21:14:00,204 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-12 21:14:00,206 - mmdet - INFO - Epoch(val) [6][313] bbox_mAP: 0.5260, bbox_mAP_50: 0.7150, bbox_mAP_75: 0.5850, bbox_mAP_s: 0.3750, bbox_mAP_m: 0.5690, bbox_mAP_l: 0.6390, bbox_mAP_copypaste: 0.526 0.715 0.585 0.375 0.569 0.639, segm_mAP: 0.4590, segm_mAP_50: 0.6950, segm_mAP_75: 0.5030, segm_mAP_s: 0.2760, segm_mAP_m: 0.5030, segm_mAP_l: 0.6290, segm_mAP_copypaste: 0.459 0.695 0.503 0.276 0.503 0.629 2022-09-12 21:16:47,299 - mmdet - INFO - Epoch [7][50/7330] lr: 1.000e-04, eta: 3 days, 11:01:27, time: 3.341, data_time: 1.965, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.2132, s0.loss_cls: 0.1573, s0.acc: 94.5488, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2085, s1.loss_cls: 0.0754, s1.acc: 94.6773, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0971, s2.loss_cls: 0.0383, s2.acc: 94.5611, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0455, loss: 1.1164 2022-09-12 21:17:55,039 - mmdet - INFO - Epoch [7][100/7330] lr: 1.000e-04, eta: 3 days, 11:00:18, time: 1.355, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2066, s0.loss_cls: 0.1634, s0.acc: 94.2910, s0.loss_bbox: 0.0924, s0.loss_mask: 0.2158, s1.loss_cls: 0.0769, s1.acc: 94.6397, s1.loss_bbox: 0.0994, s1.loss_mask: 0.1008, s2.loss_cls: 0.0388, s2.acc: 94.4348, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0472, loss: 1.1605 2022-09-12 21:19:03,717 - mmdet - INFO - Epoch [7][150/7330] lr: 1.000e-04, eta: 3 days, 10:59:14, time: 1.374, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.2097, s0.loss_cls: 0.1674, s0.acc: 94.1006, s0.loss_bbox: 0.0933, s0.loss_mask: 0.2116, s1.loss_cls: 0.0801, s1.acc: 94.3402, s1.loss_bbox: 0.0971, s1.loss_mask: 0.0987, s2.loss_cls: 0.0397, s2.acc: 94.2569, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0460, loss: 1.1623 2022-09-12 21:20:10,985 - mmdet - INFO - Epoch [7][200/7330] lr: 1.000e-04, eta: 3 days, 10:58:02, time: 1.345, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.2088, s0.loss_cls: 0.1522, s0.acc: 94.6567, s0.loss_bbox: 0.0822, s0.loss_mask: 0.2069, s1.loss_cls: 0.0718, s1.acc: 94.9693, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0964, s2.loss_cls: 0.0369, s2.acc: 94.7392, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0449, loss: 1.0981 2022-09-12 21:21:19,212 - mmdet - INFO - Epoch [7][250/7330] lr: 1.000e-04, eta: 3 days, 10:56:55, time: 1.363, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2083, s0.loss_cls: 0.1606, s0.acc: 94.3401, s0.loss_bbox: 0.0910, s0.loss_mask: 0.2126, s1.loss_cls: 0.0770, s1.acc: 94.5532, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0990, s2.loss_cls: 0.0387, s2.acc: 94.3616, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0466, loss: 1.1453 2022-09-12 21:22:27,326 - mmdet - INFO - Epoch [7][300/7330] lr: 1.000e-04, eta: 3 days, 10:55:48, time: 1.363, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.2054, s0.loss_cls: 0.1569, s0.acc: 94.5007, s0.loss_bbox: 0.0853, s0.loss_mask: 0.2122, s1.loss_cls: 0.0741, s1.acc: 94.7730, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0993, s2.loss_cls: 0.0371, s2.acc: 94.6523, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0464, loss: 1.1242 2022-09-12 21:23:33,857 - mmdet - INFO - Epoch [7][350/7330] lr: 1.000e-04, eta: 3 days, 10:54:33, time: 1.330, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2087, s0.loss_cls: 0.1526, s0.acc: 94.5591, s0.loss_bbox: 0.0860, s0.loss_mask: 0.2040, s1.loss_cls: 0.0734, s1.acc: 94.7505, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0957, s2.loss_cls: 0.0368, s2.acc: 94.6440, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0451, loss: 1.1075 2022-09-12 21:24:42,020 - mmdet - INFO - Epoch [7][400/7330] lr: 1.000e-04, eta: 3 days, 10:53:26, time: 1.365, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.1983, s0.loss_cls: 0.1660, s0.acc: 94.1572, s0.loss_bbox: 0.0908, s0.loss_mask: 0.2082, s1.loss_cls: 0.0792, s1.acc: 94.4453, s1.loss_bbox: 0.0947, s1.loss_mask: 0.0973, s2.loss_cls: 0.0397, s2.acc: 94.2947, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0457, loss: 1.1362 2022-09-12 21:25:49,136 - mmdet - INFO - Epoch [7][450/7330] lr: 1.000e-04, eta: 3 days, 10:52:14, time: 1.342, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2089, s0.loss_cls: 0.1649, s0.acc: 94.1262, s0.loss_bbox: 0.0939, s0.loss_mask: 0.2086, s1.loss_cls: 0.0789, s1.acc: 94.3377, s1.loss_bbox: 0.0993, s1.loss_mask: 0.0989, s2.loss_cls: 0.0399, s2.acc: 94.1750, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0461, loss: 1.1585 2022-09-12 21:26:56,242 - mmdet - INFO - Epoch [7][500/7330] lr: 1.000e-04, eta: 3 days, 10:51:02, time: 1.342, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2130, s0.loss_cls: 0.1663, s0.acc: 94.1033, s0.loss_bbox: 0.0948, s0.loss_mask: 0.2119, s1.loss_cls: 0.0789, s1.acc: 94.3915, s1.loss_bbox: 0.0996, s1.loss_mask: 0.0989, s2.loss_cls: 0.0402, s2.acc: 94.2435, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0463, loss: 1.1642 2022-09-12 21:28:04,436 - mmdet - INFO - Epoch [7][550/7330] lr: 1.000e-04, eta: 3 days, 10:49:55, time: 1.364, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2104, s0.loss_cls: 0.1566, s0.acc: 94.4731, s0.loss_bbox: 0.0866, s0.loss_mask: 0.2067, s1.loss_cls: 0.0741, s1.acc: 94.7373, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0962, s2.loss_cls: 0.0371, s2.acc: 94.6921, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0452, loss: 1.1169 2022-09-12 21:29:12,364 - mmdet - INFO - Epoch [7][600/7330] lr: 1.000e-04, eta: 3 days, 10:48:47, time: 1.359, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2141, s0.loss_cls: 0.1542, s0.acc: 94.5742, s0.loss_bbox: 0.0858, s0.loss_mask: 0.2087, s1.loss_cls: 0.0734, s1.acc: 94.7762, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0985, s2.loss_cls: 0.0374, s2.acc: 94.5648, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0463, loss: 1.1236 2022-09-12 21:30:20,700 - mmdet - INFO - Epoch [7][650/7330] lr: 1.000e-04, eta: 3 days, 10:47:40, time: 1.367, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2076, s0.loss_cls: 0.1619, s0.acc: 94.1572, s0.loss_bbox: 0.0930, s0.loss_mask: 0.2157, s1.loss_cls: 0.0765, s1.acc: 94.4897, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1021, s2.loss_cls: 0.0389, s2.acc: 94.2826, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0479, loss: 1.1596 2022-09-12 21:31:28,548 - mmdet - INFO - Epoch [7][700/7330] lr: 1.000e-04, eta: 3 days, 10:46:32, time: 1.357, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2065, s0.loss_cls: 0.1647, s0.acc: 94.1848, s0.loss_bbox: 0.0901, s0.loss_mask: 0.2112, s1.loss_cls: 0.0793, s1.acc: 94.3949, s1.loss_bbox: 0.0969, s1.loss_mask: 0.0981, s2.loss_cls: 0.0401, s2.acc: 94.0756, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0458, loss: 1.1484 2022-09-12 21:32:36,213 - mmdet - INFO - Epoch [7][750/7330] lr: 1.000e-04, eta: 3 days, 10:45:22, time: 1.353, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2051, s0.loss_cls: 0.1608, s0.acc: 94.3916, s0.loss_bbox: 0.0863, s0.loss_mask: 0.2096, s1.loss_cls: 0.0772, s1.acc: 94.5952, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0981, s2.loss_cls: 0.0386, s2.acc: 94.4424, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0455, loss: 1.1298 2022-09-12 21:33:44,934 - mmdet - INFO - Epoch [7][800/7330] lr: 1.000e-04, eta: 3 days, 10:44:18, time: 1.375, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2064, s0.loss_cls: 0.1635, s0.acc: 94.1965, s0.loss_bbox: 0.0893, s0.loss_mask: 0.2102, s1.loss_cls: 0.0783, s1.acc: 94.4424, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0986, s2.loss_cls: 0.0394, s2.acc: 94.3424, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0462, loss: 1.1422 2022-09-12 21:34:53,121 - mmdet - INFO - Epoch [7][850/7330] lr: 1.000e-04, eta: 3 days, 10:43:11, time: 1.364, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2172, s0.loss_cls: 0.1736, s0.acc: 94.0020, s0.loss_bbox: 0.0943, s0.loss_mask: 0.2125, s1.loss_cls: 0.0834, s1.acc: 94.2195, s1.loss_bbox: 0.0996, s1.loss_mask: 0.0993, s2.loss_cls: 0.0416, s2.acc: 94.0367, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0467, loss: 1.1879 2022-09-12 21:36:01,165 - mmdet - INFO - Epoch [7][900/7330] lr: 1.000e-04, eta: 3 days, 10:42:03, time: 1.361, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2003, s0.loss_cls: 0.1688, s0.acc: 93.9729, s0.loss_bbox: 0.0937, s0.loss_mask: 0.2127, s1.loss_cls: 0.0807, s1.acc: 94.2312, s1.loss_bbox: 0.0996, s1.loss_mask: 0.0997, s2.loss_cls: 0.0407, s2.acc: 94.0795, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0462, loss: 1.1677 2022-09-12 21:37:09,419 - mmdet - INFO - Epoch [7][950/7330] lr: 1.000e-04, eta: 3 days, 10:40:57, time: 1.365, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2105, s0.loss_cls: 0.1692, s0.acc: 94.1116, s0.loss_bbox: 0.0907, s0.loss_mask: 0.2134, s1.loss_cls: 0.0817, s1.acc: 94.2858, s1.loss_bbox: 0.0971, s1.loss_mask: 0.0994, s2.loss_cls: 0.0418, s2.acc: 94.1309, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0466, loss: 1.1673 2022-09-12 21:38:17,382 - mmdet - INFO - Epoch [7][1000/7330] lr: 1.000e-04, eta: 3 days, 10:39:49, time: 1.359, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2127, s0.loss_cls: 0.1710, s0.acc: 94.1069, s0.loss_bbox: 0.0941, s0.loss_mask: 0.2116, s1.loss_cls: 0.0822, s1.acc: 94.3010, s1.loss_bbox: 0.0997, s1.loss_mask: 0.0985, s2.loss_cls: 0.0413, s2.acc: 94.1050, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0459, loss: 1.1757 2022-09-12 21:39:25,432 - mmdet - INFO - Epoch [7][1050/7330] lr: 1.000e-04, eta: 3 days, 10:38:41, time: 1.361, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2084, s0.loss_cls: 0.1640, s0.acc: 94.1223, s0.loss_bbox: 0.0943, s0.loss_mask: 0.2141, s1.loss_cls: 0.0790, s1.acc: 94.3429, s1.loss_bbox: 0.0994, s1.loss_mask: 0.0998, s2.loss_cls: 0.0403, s2.acc: 94.0673, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0466, loss: 1.1640 2022-09-12 21:40:34,408 - mmdet - INFO - Epoch [7][1100/7330] lr: 1.000e-04, eta: 3 days, 10:37:38, time: 1.380, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2156, s0.loss_cls: 0.1660, s0.acc: 94.1829, s0.loss_bbox: 0.0898, s0.loss_mask: 0.2067, s1.loss_cls: 0.0792, s1.acc: 94.3747, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0969, s2.loss_cls: 0.0399, s2.acc: 94.2177, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0460, loss: 1.1521 2022-09-12 21:41:42,612 - mmdet - INFO - Epoch [7][1150/7330] lr: 1.000e-04, eta: 3 days, 10:36:31, time: 1.364, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.2055, s0.loss_cls: 0.1622, s0.acc: 94.2727, s0.loss_bbox: 0.0924, s0.loss_mask: 0.2142, s1.loss_cls: 0.0776, s1.acc: 94.5010, s1.loss_bbox: 0.0960, s1.loss_mask: 0.1001, s2.loss_cls: 0.0389, s2.acc: 94.4145, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0470, loss: 1.1528 2022-09-12 21:42:49,824 - mmdet - INFO - Epoch [7][1200/7330] lr: 1.000e-04, eta: 3 days, 10:35:20, time: 1.344, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.2029, s0.loss_cls: 0.1638, s0.acc: 94.1301, s0.loss_bbox: 0.0928, s0.loss_mask: 0.2068, s1.loss_cls: 0.0775, s1.acc: 94.3896, s1.loss_bbox: 0.0982, s1.loss_mask: 0.0959, s2.loss_cls: 0.0398, s2.acc: 94.0851, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0449, loss: 1.1429 2022-09-12 21:43:57,714 - mmdet - INFO - Epoch [7][1250/7330] lr: 1.000e-04, eta: 3 days, 10:34:11, time: 1.358, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2117, s0.loss_cls: 0.1562, s0.acc: 94.4385, s0.loss_bbox: 0.0860, s0.loss_mask: 0.2010, s1.loss_cls: 0.0752, s1.acc: 94.6385, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0940, s2.loss_cls: 0.0377, s2.acc: 94.5499, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0442, loss: 1.1101 2022-09-12 21:45:06,146 - mmdet - INFO - Epoch [7][1300/7330] lr: 1.000e-04, eta: 3 days, 10:33:05, time: 1.369, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0342, loss_semantic_seg: 0.2064, s0.loss_cls: 0.1676, s0.acc: 94.0942, s0.loss_bbox: 0.0940, s0.loss_mask: 0.2194, s1.loss_cls: 0.0789, s1.acc: 94.3896, s1.loss_bbox: 0.1009, s1.loss_mask: 0.1029, s2.loss_cls: 0.0395, s2.acc: 94.2911, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0481, loss: 1.1798 2022-09-12 21:46:13,263 - mmdet - INFO - Epoch [7][1350/7330] lr: 1.000e-04, eta: 3 days, 10:31:53, time: 1.342, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.2053, s0.loss_cls: 0.1499, s0.acc: 94.6350, s0.loss_bbox: 0.0835, s0.loss_mask: 0.2007, s1.loss_cls: 0.0721, s1.acc: 94.8081, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0943, s2.loss_cls: 0.0366, s2.acc: 94.6809, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0446, loss: 1.0896 2022-09-12 21:47:21,367 - mmdet - INFO - Epoch [7][1400/7330] lr: 1.000e-04, eta: 3 days, 10:30:45, time: 1.360, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1983, s0.loss_cls: 0.1532, s0.acc: 94.4436, s0.loss_bbox: 0.0889, s0.loss_mask: 0.2101, s1.loss_cls: 0.0726, s1.acc: 94.7196, s1.loss_bbox: 0.0958, s1.loss_mask: 0.0991, s2.loss_cls: 0.0368, s2.acc: 94.5139, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0466, loss: 1.1187 2022-09-12 21:48:28,037 - mmdet - INFO - Epoch [7][1450/7330] lr: 1.000e-04, eta: 3 days, 10:29:32, time: 1.335, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2069, s0.loss_cls: 0.1624, s0.acc: 94.3452, s0.loss_bbox: 0.0900, s0.loss_mask: 0.2013, s1.loss_cls: 0.0773, s1.acc: 94.5639, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0931, s2.loss_cls: 0.0387, s2.acc: 94.4506, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0436, loss: 1.1268 2022-09-12 21:49:37,030 - mmdet - INFO - Epoch [7][1500/7330] lr: 1.000e-04, eta: 3 days, 10:28:28, time: 1.378, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.2063, s0.loss_cls: 0.1598, s0.acc: 94.3635, s0.loss_bbox: 0.0867, s0.loss_mask: 0.2078, s1.loss_cls: 0.0755, s1.acc: 94.6076, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0980, s2.loss_cls: 0.0384, s2.acc: 94.3992, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0458, loss: 1.1257 2022-09-12 21:50:44,231 - mmdet - INFO - Epoch [7][1550/7330] lr: 1.000e-04, eta: 3 days, 10:27:17, time: 1.346, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2040, s0.loss_cls: 0.1677, s0.acc: 94.0676, s0.loss_bbox: 0.0929, s0.loss_mask: 0.2070, s1.loss_cls: 0.0802, s1.acc: 94.3526, s1.loss_bbox: 0.0990, s1.loss_mask: 0.0971, s2.loss_cls: 0.0404, s2.acc: 94.1302, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0457, loss: 1.1504 2022-09-12 21:51:52,155 - mmdet - INFO - Epoch [7][1600/7330] lr: 1.000e-04, eta: 3 days, 10:26:09, time: 1.359, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2037, s0.loss_cls: 0.1762, s0.acc: 93.8105, s0.loss_bbox: 0.0975, s0.loss_mask: 0.2089, s1.loss_cls: 0.0823, s1.acc: 94.2606, s1.loss_bbox: 0.1009, s1.loss_mask: 0.0967, s2.loss_cls: 0.0412, s2.acc: 94.1331, s2.loss_bbox: 0.0632, s2.loss_mask: 0.0452, loss: 1.1746 2022-09-12 21:53:00,781 - mmdet - INFO - Epoch [7][1650/7330] lr: 1.000e-04, eta: 3 days, 10:25:04, time: 1.371, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0334, loss_semantic_seg: 0.2051, s0.loss_cls: 0.1709, s0.acc: 93.9673, s0.loss_bbox: 0.0974, s0.loss_mask: 0.2166, s1.loss_cls: 0.0820, s1.acc: 94.2041, s1.loss_bbox: 0.1013, s1.loss_mask: 0.1020, s2.loss_cls: 0.0414, s2.acc: 93.9711, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0480, loss: 1.1866 2022-09-12 21:54:08,628 - mmdet - INFO - Epoch [7][1700/7330] lr: 1.000e-04, eta: 3 days, 10:23:55, time: 1.358, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2098, s0.loss_cls: 0.1643, s0.acc: 94.1929, s0.loss_bbox: 0.0922, s0.loss_mask: 0.2053, s1.loss_cls: 0.0788, s1.acc: 94.4351, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0954, s2.loss_cls: 0.0393, s2.acc: 94.3554, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0446, loss: 1.1435 2022-09-12 21:55:16,735 - mmdet - INFO - Epoch [7][1750/7330] lr: 1.000e-04, eta: 3 days, 10:22:48, time: 1.362, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2061, s0.loss_cls: 0.1591, s0.acc: 94.3391, s0.loss_bbox: 0.0888, s0.loss_mask: 0.2084, s1.loss_cls: 0.0767, s1.acc: 94.5922, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0983, s2.loss_cls: 0.0385, s2.acc: 94.5186, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0462, loss: 1.1299 2022-09-12 21:56:24,961 - mmdet - INFO - Epoch [7][1800/7330] lr: 1.000e-04, eta: 3 days, 10:21:41, time: 1.364, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2107, s0.loss_cls: 0.1620, s0.acc: 94.1995, s0.loss_bbox: 0.0870, s0.loss_mask: 0.2153, s1.loss_cls: 0.0781, s1.acc: 94.3451, s1.loss_bbox: 0.0952, s1.loss_mask: 0.1007, s2.loss_cls: 0.0403, s2.acc: 94.1801, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0475, loss: 1.1519 2022-09-12 21:57:33,317 - mmdet - INFO - Epoch [7][1850/7330] lr: 1.000e-04, eta: 3 days, 10:20:35, time: 1.367, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2018, s0.loss_cls: 0.1635, s0.acc: 94.2354, s0.loss_bbox: 0.0875, s0.loss_mask: 0.2065, s1.loss_cls: 0.0785, s1.acc: 94.4865, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0965, s2.loss_cls: 0.0399, s2.acc: 94.3366, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0453, loss: 1.1282 2022-09-12 21:58:41,057 - mmdet - INFO - Epoch [7][1900/7330] lr: 1.000e-04, eta: 3 days, 10:19:26, time: 1.355, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.2091, s0.loss_cls: 0.1603, s0.acc: 94.4338, s0.loss_bbox: 0.0884, s0.loss_mask: 0.2126, s1.loss_cls: 0.0765, s1.acc: 94.6784, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0991, s2.loss_cls: 0.0383, s2.acc: 94.5785, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0462, loss: 1.1380 2022-09-12 21:59:49,918 - mmdet - INFO - Epoch [7][1950/7330] lr: 1.000e-04, eta: 3 days, 10:18:22, time: 1.377, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.2070, s0.loss_cls: 0.1623, s0.acc: 94.4016, s0.loss_bbox: 0.0874, s0.loss_mask: 0.2051, s1.loss_cls: 0.0767, s1.acc: 94.7288, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0958, s2.loss_cls: 0.0381, s2.acc: 94.5521, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0449, loss: 1.1206 2022-09-12 22:00:57,424 - mmdet - INFO - Epoch [7][2000/7330] lr: 1.000e-04, eta: 3 days, 10:17:12, time: 1.348, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.2035, s0.loss_cls: 0.1487, s0.acc: 94.6729, s0.loss_bbox: 0.0831, s0.loss_mask: 0.2048, s1.loss_cls: 0.0713, s1.acc: 94.9279, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0981, s2.loss_cls: 0.0366, s2.acc: 94.7278, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0456, loss: 1.0908 2022-09-12 22:02:05,720 - mmdet - INFO - Epoch [7][2050/7330] lr: 1.000e-04, eta: 3 days, 10:16:05, time: 1.368, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2059, s0.loss_cls: 0.1714, s0.acc: 93.9944, s0.loss_bbox: 0.0921, s0.loss_mask: 0.2126, s1.loss_cls: 0.0818, s1.acc: 94.2400, s1.loss_bbox: 0.0983, s1.loss_mask: 0.0987, s2.loss_cls: 0.0413, s2.acc: 94.0515, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0455, loss: 1.1632 2022-09-12 22:03:13,994 - mmdet - INFO - Epoch [7][2100/7330] lr: 1.000e-04, eta: 3 days, 10:14:59, time: 1.366, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2227, s0.loss_cls: 0.1686, s0.acc: 94.0989, s0.loss_bbox: 0.0911, s0.loss_mask: 0.2085, s1.loss_cls: 0.0804, s1.acc: 94.3626, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0978, s2.loss_cls: 0.0405, s2.acc: 94.2177, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0460, loss: 1.1673 2022-09-12 22:04:23,000 - mmdet - INFO - Epoch [7][2150/7330] lr: 1.000e-04, eta: 3 days, 10:13:56, time: 1.380, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.1889, s0.loss_cls: 0.1636, s0.acc: 94.1365, s0.loss_bbox: 0.0946, s0.loss_mask: 0.2064, s1.loss_cls: 0.0773, s1.acc: 94.4554, s1.loss_bbox: 0.1008, s1.loss_mask: 0.0962, s2.loss_cls: 0.0387, s2.acc: 94.4266, s2.loss_bbox: 0.0622, s2.loss_mask: 0.0452, loss: 1.1317 2022-09-12 22:05:30,770 - mmdet - INFO - Epoch [7][2200/7330] lr: 1.000e-04, eta: 3 days, 10:12:47, time: 1.355, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.2006, s0.loss_cls: 0.1546, s0.acc: 94.5461, s0.loss_bbox: 0.0867, s0.loss_mask: 0.2114, s1.loss_cls: 0.0742, s1.acc: 94.7289, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0992, s2.loss_cls: 0.0381, s2.acc: 94.4417, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0462, loss: 1.1125 2022-09-12 22:06:38,483 - mmdet - INFO - Epoch [7][2250/7330] lr: 1.000e-04, eta: 3 days, 10:11:37, time: 1.354, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2059, s0.loss_cls: 0.1642, s0.acc: 94.2510, s0.loss_bbox: 0.0908, s0.loss_mask: 0.2120, s1.loss_cls: 0.0781, s1.acc: 94.5072, s1.loss_bbox: 0.0948, s1.loss_mask: 0.1000, s2.loss_cls: 0.0392, s2.acc: 94.3519, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0472, loss: 1.1470 2022-09-12 22:07:47,086 - mmdet - INFO - Epoch [7][2300/7330] lr: 1.000e-04, eta: 3 days, 10:10:33, time: 1.373, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2134, s0.loss_cls: 0.1667, s0.acc: 94.1887, s0.loss_bbox: 0.0926, s0.loss_mask: 0.2152, s1.loss_cls: 0.0801, s1.acc: 94.3913, s1.loss_bbox: 0.0982, s1.loss_mask: 0.1000, s2.loss_cls: 0.0403, s2.acc: 94.2652, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0466, loss: 1.1699 2022-09-12 22:08:55,091 - mmdet - INFO - Epoch [7][2350/7330] lr: 1.000e-04, eta: 3 days, 10:09:25, time: 1.360, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2038, s0.loss_cls: 0.1664, s0.acc: 94.1826, s0.loss_bbox: 0.0923, s0.loss_mask: 0.2157, s1.loss_cls: 0.0794, s1.acc: 94.4088, s1.loss_bbox: 0.0981, s1.loss_mask: 0.1003, s2.loss_cls: 0.0406, s2.acc: 94.1718, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0473, loss: 1.1656 2022-09-12 22:10:03,459 - mmdet - INFO - Epoch [7][2400/7330] lr: 1.000e-04, eta: 3 days, 10:08:19, time: 1.367, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0332, loss_semantic_seg: 0.2066, s0.loss_cls: 0.1642, s0.acc: 94.1658, s0.loss_bbox: 0.0922, s0.loss_mask: 0.2181, s1.loss_cls: 0.0795, s1.acc: 94.4377, s1.loss_bbox: 0.0973, s1.loss_mask: 0.1024, s2.loss_cls: 0.0399, s2.acc: 94.3247, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0479, loss: 1.1692 2022-09-12 22:11:11,033 - mmdet - INFO - Epoch [7][2450/7330] lr: 1.000e-04, eta: 3 days, 10:07:09, time: 1.352, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2089, s0.loss_cls: 0.1619, s0.acc: 94.2483, s0.loss_bbox: 0.0906, s0.loss_mask: 0.2116, s1.loss_cls: 0.0769, s1.acc: 94.5143, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0985, s2.loss_cls: 0.0389, s2.acc: 94.2705, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0462, loss: 1.1466 2022-09-12 22:12:18,675 - mmdet - INFO - Epoch [7][2500/7330] lr: 1.000e-04, eta: 3 days, 10:05:59, time: 1.353, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2081, s0.loss_cls: 0.1685, s0.acc: 94.1084, s0.loss_bbox: 0.0921, s0.loss_mask: 0.2112, s1.loss_cls: 0.0807, s1.acc: 94.3007, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0995, s2.loss_cls: 0.0401, s2.acc: 94.2193, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0467, loss: 1.1617 2022-09-12 22:13:26,514 - mmdet - INFO - Epoch [7][2550/7330] lr: 1.000e-04, eta: 3 days, 10:04:51, time: 1.357, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2072, s0.loss_cls: 0.1629, s0.acc: 94.1985, s0.loss_bbox: 0.0894, s0.loss_mask: 0.2105, s1.loss_cls: 0.0783, s1.acc: 94.4527, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0983, s2.loss_cls: 0.0394, s2.acc: 94.3256, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0459, loss: 1.1437 2022-09-12 22:14:34,949 - mmdet - INFO - Epoch [7][2600/7330] lr: 1.000e-04, eta: 3 days, 10:03:45, time: 1.369, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2040, s0.loss_cls: 0.1656, s0.acc: 94.1140, s0.loss_bbox: 0.0916, s0.loss_mask: 0.2044, s1.loss_cls: 0.0793, s1.acc: 94.4011, s1.loss_bbox: 0.0980, s1.loss_mask: 0.0953, s2.loss_cls: 0.0403, s2.acc: 94.1837, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0444, loss: 1.1398 2022-09-12 22:15:42,962 - mmdet - INFO - Epoch [7][2650/7330] lr: 1.000e-04, eta: 3 days, 10:02:37, time: 1.360, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2101, s0.loss_cls: 0.1608, s0.acc: 94.3638, s0.loss_bbox: 0.0890, s0.loss_mask: 0.2100, s1.loss_cls: 0.0761, s1.acc: 94.6313, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0984, s2.loss_cls: 0.0386, s2.acc: 94.4188, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0462, loss: 1.1407 2022-09-12 22:16:51,155 - mmdet - INFO - Epoch [7][2700/7330] lr: 1.000e-04, eta: 3 days, 10:01:30, time: 1.364, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.2079, s0.loss_cls: 0.1568, s0.acc: 94.3838, s0.loss_bbox: 0.0898, s0.loss_mask: 0.2072, s1.loss_cls: 0.0750, s1.acc: 94.6157, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0969, s2.loss_cls: 0.0382, s2.acc: 94.3964, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0458, loss: 1.1233 2022-09-12 22:17:58,100 - mmdet - INFO - Epoch [7][2750/7330] lr: 1.000e-04, eta: 3 days, 10:00:17, time: 1.339, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2092, s0.loss_cls: 0.1654, s0.acc: 94.2163, s0.loss_bbox: 0.0903, s0.loss_mask: 0.2046, s1.loss_cls: 0.0798, s1.acc: 94.4450, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0960, s2.loss_cls: 0.0401, s2.acc: 94.2246, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0453, loss: 1.1393 2022-09-12 22:19:06,854 - mmdet - INFO - Epoch [7][2800/7330] lr: 1.000e-04, eta: 3 days, 9:59:13, time: 1.375, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2020, s0.loss_cls: 0.1672, s0.acc: 94.0920, s0.loss_bbox: 0.0909, s0.loss_mask: 0.2175, s1.loss_cls: 0.0821, s1.acc: 94.2170, s1.loss_bbox: 0.0979, s1.loss_mask: 0.1012, s2.loss_cls: 0.0410, s2.acc: 94.0528, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0474, loss: 1.1665 2022-09-12 22:20:14,947 - mmdet - INFO - Epoch [7][2850/7330] lr: 1.000e-04, eta: 3 days, 9:58:05, time: 1.362, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.2134, s0.loss_cls: 0.1633, s0.acc: 94.2981, s0.loss_bbox: 0.0894, s0.loss_mask: 0.2097, s1.loss_cls: 0.0788, s1.acc: 94.4863, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0978, s2.loss_cls: 0.0399, s2.acc: 94.3835, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0460, loss: 1.1499 2022-09-12 22:21:22,918 - mmdet - INFO - Epoch [7][2900/7330] lr: 1.000e-04, eta: 3 days, 9:56:57, time: 1.359, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.2048, s0.loss_cls: 0.1526, s0.acc: 94.6003, s0.loss_bbox: 0.0866, s0.loss_mask: 0.2038, s1.loss_cls: 0.0723, s1.acc: 94.9313, s1.loss_bbox: 0.0926, s1.loss_mask: 0.0955, s2.loss_cls: 0.0367, s2.acc: 94.6269, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0450, loss: 1.1023 2022-09-12 22:22:30,992 - mmdet - INFO - Epoch [7][2950/7330] lr: 1.000e-04, eta: 3 days, 9:55:50, time: 1.362, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0332, loss_semantic_seg: 0.2087, s0.loss_cls: 0.1692, s0.acc: 93.9670, s0.loss_bbox: 0.0920, s0.loss_mask: 0.2122, s1.loss_cls: 0.0817, s1.acc: 94.2006, s1.loss_bbox: 0.0988, s1.loss_mask: 0.0989, s2.loss_cls: 0.0408, s2.acc: 94.0949, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0465, loss: 1.1711 2022-09-12 22:23:38,722 - mmdet - INFO - Epoch [7][3000/7330] lr: 1.000e-04, eta: 3 days, 9:54:41, time: 1.354, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.2104, s0.loss_cls: 0.1554, s0.acc: 94.5063, s0.loss_bbox: 0.0861, s0.loss_mask: 0.2035, s1.loss_cls: 0.0738, s1.acc: 94.8654, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0949, s2.loss_cls: 0.0376, s2.acc: 94.6362, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0448, loss: 1.1083 2022-09-12 22:24:46,925 - mmdet - INFO - Epoch [7][3050/7330] lr: 1.000e-04, eta: 3 days, 9:53:33, time: 1.362, data_time: 0.033, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2147, s0.loss_cls: 0.1650, s0.acc: 94.1699, s0.loss_bbox: 0.0904, s0.loss_mask: 0.2101, s1.loss_cls: 0.0790, s1.acc: 94.3124, s1.loss_bbox: 0.0975, s1.loss_mask: 0.0985, s2.loss_cls: 0.0405, s2.acc: 94.0826, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0467, loss: 1.1605 2022-09-12 22:25:54,819 - mmdet - INFO - Epoch [7][3100/7330] lr: 1.000e-04, eta: 3 days, 9:52:25, time: 1.360, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2009, s0.loss_cls: 0.1603, s0.acc: 94.2092, s0.loss_bbox: 0.0931, s0.loss_mask: 0.2140, s1.loss_cls: 0.0763, s1.acc: 94.4967, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1002, s2.loss_cls: 0.0383, s2.acc: 94.3346, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0470, loss: 1.1455 2022-09-12 22:27:02,654 - mmdet - INFO - Epoch [7][3150/7330] lr: 1.000e-04, eta: 3 days, 9:51:17, time: 1.357, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2010, s0.loss_cls: 0.1571, s0.acc: 94.4104, s0.loss_bbox: 0.0873, s0.loss_mask: 0.2064, s1.loss_cls: 0.0735, s1.acc: 94.7910, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0972, s2.loss_cls: 0.0371, s2.acc: 94.6010, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0460, loss: 1.1171 2022-09-12 22:28:09,487 - mmdet - INFO - Epoch [7][3200/7330] lr: 1.000e-04, eta: 3 days, 9:50:04, time: 1.337, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2098, s0.loss_cls: 0.1722, s0.acc: 93.9690, s0.loss_bbox: 0.0949, s0.loss_mask: 0.2172, s1.loss_cls: 0.0831, s1.acc: 94.1821, s1.loss_bbox: 0.1010, s1.loss_mask: 0.1009, s2.loss_cls: 0.0419, s2.acc: 93.8780, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0469, loss: 1.1868 2022-09-12 22:29:17,546 - mmdet - INFO - Epoch [7][3250/7330] lr: 1.000e-04, eta: 3 days, 9:48:56, time: 1.361, data_time: 0.035, memory: 64759, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2089, s0.loss_cls: 0.1651, s0.acc: 94.2119, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2035, s1.loss_cls: 0.0786, s1.acc: 94.4397, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0962, s2.loss_cls: 0.0398, s2.acc: 94.1893, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0453, loss: 1.1315 2022-09-12 22:30:25,096 - mmdet - INFO - Epoch [7][3300/7330] lr: 1.000e-04, eta: 3 days, 9:47:46, time: 1.351, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2032, s0.loss_cls: 0.1677, s0.acc: 94.0547, s0.loss_bbox: 0.0929, s0.loss_mask: 0.2096, s1.loss_cls: 0.0803, s1.acc: 94.3719, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0974, s2.loss_cls: 0.0402, s2.acc: 94.2379, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0458, loss: 1.1541 2022-09-12 22:31:33,120 - mmdet - INFO - Epoch [7][3350/7330] lr: 1.000e-04, eta: 3 days, 9:46:38, time: 1.361, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.1987, s0.loss_cls: 0.1677, s0.acc: 94.0073, s0.loss_bbox: 0.0921, s0.loss_mask: 0.2082, s1.loss_cls: 0.0796, s1.acc: 94.3009, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0982, s2.loss_cls: 0.0401, s2.acc: 94.1609, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0460, loss: 1.1482 2022-09-12 22:32:40,682 - mmdet - INFO - Epoch [7][3400/7330] lr: 1.000e-04, eta: 3 days, 9:45:28, time: 1.351, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2084, s0.loss_cls: 0.1686, s0.acc: 94.0508, s0.loss_bbox: 0.0934, s0.loss_mask: 0.2134, s1.loss_cls: 0.0803, s1.acc: 94.3283, s1.loss_bbox: 0.0991, s1.loss_mask: 0.0992, s2.loss_cls: 0.0403, s2.acc: 94.2773, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0468, loss: 1.1686 2022-09-12 22:33:48,591 - mmdet - INFO - Epoch [7][3450/7330] lr: 1.000e-04, eta: 3 days, 9:44:20, time: 1.356, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.2116, s0.loss_cls: 0.1631, s0.acc: 94.2349, s0.loss_bbox: 0.0934, s0.loss_mask: 0.2134, s1.loss_cls: 0.0781, s1.acc: 94.5341, s1.loss_bbox: 0.0994, s1.loss_mask: 0.0995, s2.loss_cls: 0.0395, s2.acc: 94.3945, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0469, loss: 1.1624 2022-09-12 22:34:56,775 - mmdet - INFO - Epoch [7][3500/7330] lr: 1.000e-04, eta: 3 days, 9:43:13, time: 1.365, data_time: 0.033, memory: 64759, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2149, s0.loss_cls: 0.1679, s0.acc: 93.9937, s0.loss_bbox: 0.0913, s0.loss_mask: 0.2123, s1.loss_cls: 0.0813, s1.acc: 94.2568, s1.loss_bbox: 0.0977, s1.loss_mask: 0.0996, s2.loss_cls: 0.0412, s2.acc: 94.1450, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0469, loss: 1.1726 2022-09-12 22:36:05,317 - mmdet - INFO - Epoch [7][3550/7330] lr: 1.000e-04, eta: 3 days, 9:42:08, time: 1.371, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2051, s0.loss_cls: 0.1753, s0.acc: 94.0234, s0.loss_bbox: 0.0945, s0.loss_mask: 0.2150, s1.loss_cls: 0.0850, s1.acc: 94.2028, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1012, s2.loss_cls: 0.0429, s2.acc: 93.9306, s2.loss_bbox: 0.0611, s2.loss_mask: 0.0471, loss: 1.1849 2022-09-12 22:37:12,832 - mmdet - INFO - Epoch [7][3600/7330] lr: 1.000e-04, eta: 3 days, 9:40:58, time: 1.350, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.2052, s0.loss_cls: 0.1600, s0.acc: 94.4504, s0.loss_bbox: 0.0885, s0.loss_mask: 0.2096, s1.loss_cls: 0.0769, s1.acc: 94.6040, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0979, s2.loss_cls: 0.0388, s2.acc: 94.4109, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0454, loss: 1.1285 2022-09-12 22:38:20,721 - mmdet - INFO - Epoch [7][3650/7330] lr: 1.000e-04, eta: 3 days, 9:39:49, time: 1.358, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1996, s0.loss_cls: 0.1640, s0.acc: 94.3081, s0.loss_bbox: 0.0876, s0.loss_mask: 0.2018, s1.loss_cls: 0.0780, s1.acc: 94.5344, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0944, s2.loss_cls: 0.0389, s2.acc: 94.5075, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0445, loss: 1.1178 2022-09-12 22:39:28,806 - mmdet - INFO - Epoch [7][3700/7330] lr: 1.000e-04, eta: 3 days, 9:38:42, time: 1.362, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2012, s0.loss_cls: 0.1633, s0.acc: 94.2212, s0.loss_bbox: 0.0929, s0.loss_mask: 0.2118, s1.loss_cls: 0.0777, s1.acc: 94.4924, s1.loss_bbox: 0.0985, s1.loss_mask: 0.0989, s2.loss_cls: 0.0393, s2.acc: 94.3340, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0458, loss: 1.1457 2022-09-12 22:40:37,122 - mmdet - INFO - Epoch [7][3750/7330] lr: 1.000e-04, eta: 3 days, 9:37:35, time: 1.366, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2072, s0.loss_cls: 0.1566, s0.acc: 94.4841, s0.loss_bbox: 0.0875, s0.loss_mask: 0.2090, s1.loss_cls: 0.0754, s1.acc: 94.7325, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0977, s2.loss_cls: 0.0383, s2.acc: 94.4783, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0456, loss: 1.1261 2022-09-12 22:41:44,718 - mmdet - INFO - Epoch [7][3800/7330] lr: 1.000e-04, eta: 3 days, 9:36:26, time: 1.352, data_time: 0.034, memory: 64759, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.2085, s0.loss_cls: 0.1692, s0.acc: 94.0017, s0.loss_bbox: 0.0920, s0.loss_mask: 0.2143, s1.loss_cls: 0.0826, s1.acc: 94.1486, s1.loss_bbox: 0.0997, s1.loss_mask: 0.1009, s2.loss_cls: 0.0413, s2.acc: 94.0045, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0470, loss: 1.1758 2022-09-12 22:42:52,055 - mmdet - INFO - Epoch [7][3850/7330] lr: 1.000e-04, eta: 3 days, 9:35:15, time: 1.347, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2182, s0.loss_cls: 0.1663, s0.acc: 94.1958, s0.loss_bbox: 0.0907, s0.loss_mask: 0.2062, s1.loss_cls: 0.0789, s1.acc: 94.4726, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0965, s2.loss_cls: 0.0394, s2.acc: 94.4072, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0456, loss: 1.1520 2022-09-12 22:43:59,029 - mmdet - INFO - Epoch [7][3900/7330] lr: 1.000e-04, eta: 3 days, 9:34:02, time: 1.339, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.2022, s0.loss_cls: 0.1584, s0.acc: 94.5100, s0.loss_bbox: 0.0878, s0.loss_mask: 0.2056, s1.loss_cls: 0.0751, s1.acc: 94.7638, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0965, s2.loss_cls: 0.0375, s2.acc: 94.6520, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0455, loss: 1.1165 2022-09-12 22:45:08,095 - mmdet - INFO - Epoch [7][3950/7330] lr: 1.000e-04, eta: 3 days, 9:32:59, time: 1.380, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1999, s0.loss_cls: 0.1625, s0.acc: 94.1677, s0.loss_bbox: 0.0934, s0.loss_mask: 0.2110, s1.loss_cls: 0.0769, s1.acc: 94.4836, s1.loss_bbox: 0.1005, s1.loss_mask: 0.0995, s2.loss_cls: 0.0389, s2.acc: 94.2849, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0465, loss: 1.1456 2022-09-12 22:46:16,250 - mmdet - INFO - Epoch [7][4000/7330] lr: 1.000e-04, eta: 3 days, 9:31:52, time: 1.365, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2118, s0.loss_cls: 0.1646, s0.acc: 94.2185, s0.loss_bbox: 0.0904, s0.loss_mask: 0.2080, s1.loss_cls: 0.0794, s1.acc: 94.4740, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0991, s2.loss_cls: 0.0405, s2.acc: 94.2908, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0460, loss: 1.1527 2022-09-12 22:47:23,967 - mmdet - INFO - Epoch [7][4050/7330] lr: 1.000e-04, eta: 3 days, 9:30:43, time: 1.355, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1985, s0.loss_cls: 0.1521, s0.acc: 94.6494, s0.loss_bbox: 0.0850, s0.loss_mask: 0.2103, s1.loss_cls: 0.0732, s1.acc: 94.8836, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0977, s2.loss_cls: 0.0373, s2.acc: 94.6220, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0455, loss: 1.0968 2022-09-12 22:48:31,987 - mmdet - INFO - Epoch [7][4100/7330] lr: 1.000e-04, eta: 3 days, 9:29:35, time: 1.360, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2090, s0.loss_cls: 0.1576, s0.acc: 94.4055, s0.loss_bbox: 0.0907, s0.loss_mask: 0.2118, s1.loss_cls: 0.0757, s1.acc: 94.6301, s1.loss_bbox: 0.0975, s1.loss_mask: 0.0989, s2.loss_cls: 0.0377, s2.acc: 94.5328, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0461, loss: 1.1434 2022-09-12 22:49:40,190 - mmdet - INFO - Epoch [7][4150/7330] lr: 1.000e-04, eta: 3 days, 9:28:28, time: 1.364, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2075, s0.loss_cls: 0.1567, s0.acc: 94.4087, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2059, s1.loss_cls: 0.0750, s1.acc: 94.6125, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0969, s2.loss_cls: 0.0379, s2.acc: 94.4447, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0451, loss: 1.1246 2022-09-12 22:50:48,428 - mmdet - INFO - Epoch [7][4200/7330] lr: 1.000e-04, eta: 3 days, 9:27:21, time: 1.365, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2060, s0.loss_cls: 0.1613, s0.acc: 94.3281, s0.loss_bbox: 0.0875, s0.loss_mask: 0.2078, s1.loss_cls: 0.0764, s1.acc: 94.5992, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0974, s2.loss_cls: 0.0393, s2.acc: 94.3423, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0459, loss: 1.1324 2022-09-12 22:51:55,796 - mmdet - INFO - Epoch [7][4250/7330] lr: 1.000e-04, eta: 3 days, 9:26:11, time: 1.347, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2119, s0.loss_cls: 0.1685, s0.acc: 94.1196, s0.loss_bbox: 0.0961, s0.loss_mask: 0.2171, s1.loss_cls: 0.0808, s1.acc: 94.3281, s1.loss_bbox: 0.1006, s1.loss_mask: 0.1006, s2.loss_cls: 0.0406, s2.acc: 94.1284, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0471, loss: 1.1826 2022-09-12 22:53:03,782 - mmdet - INFO - Epoch [7][4300/7330] lr: 1.000e-04, eta: 3 days, 9:25:03, time: 1.360, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.2046, s0.loss_cls: 0.1631, s0.acc: 94.2195, s0.loss_bbox: 0.0892, s0.loss_mask: 0.2045, s1.loss_cls: 0.0777, s1.acc: 94.5788, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0959, s2.loss_cls: 0.0393, s2.acc: 94.3259, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0452, loss: 1.1264 2022-09-12 22:54:12,035 - mmdet - INFO - Epoch [7][4350/7330] lr: 1.000e-04, eta: 3 days, 9:23:56, time: 1.365, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1996, s0.loss_cls: 0.1675, s0.acc: 94.0862, s0.loss_bbox: 0.0937, s0.loss_mask: 0.2150, s1.loss_cls: 0.0809, s1.acc: 94.2740, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1011, s2.loss_cls: 0.0405, s2.acc: 94.1641, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0470, loss: 1.1621 2022-09-12 22:55:19,403 - mmdet - INFO - Epoch [7][4400/7330] lr: 1.000e-04, eta: 3 days, 9:22:46, time: 1.347, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.2089, s0.loss_cls: 0.1580, s0.acc: 94.4026, s0.loss_bbox: 0.0871, s0.loss_mask: 0.2094, s1.loss_cls: 0.0764, s1.acc: 94.6032, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0994, s2.loss_cls: 0.0386, s2.acc: 94.4130, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0468, loss: 1.1309 2022-09-12 22:56:28,345 - mmdet - INFO - Epoch [7][4450/7330] lr: 1.000e-04, eta: 3 days, 9:21:42, time: 1.379, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2066, s0.loss_cls: 0.1591, s0.acc: 94.3276, s0.loss_bbox: 0.0880, s0.loss_mask: 0.2068, s1.loss_cls: 0.0772, s1.acc: 94.4763, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0971, s2.loss_cls: 0.0391, s2.acc: 94.2157, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0458, loss: 1.1269 2022-09-12 22:57:36,304 - mmdet - INFO - Epoch [7][4500/7330] lr: 1.000e-04, eta: 3 days, 9:20:34, time: 1.359, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2034, s0.loss_cls: 0.1600, s0.acc: 94.3467, s0.loss_bbox: 0.0900, s0.loss_mask: 0.2088, s1.loss_cls: 0.0760, s1.acc: 94.6370, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0975, s2.loss_cls: 0.0385, s2.acc: 94.3770, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0456, loss: 1.1278 2022-09-12 22:58:44,042 - mmdet - INFO - Epoch [7][4550/7330] lr: 1.000e-04, eta: 3 days, 9:19:25, time: 1.355, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.2063, s0.loss_cls: 0.1565, s0.acc: 94.4934, s0.loss_bbox: 0.0870, s0.loss_mask: 0.2028, s1.loss_cls: 0.0757, s1.acc: 94.6744, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0947, s2.loss_cls: 0.0382, s2.acc: 94.5136, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0445, loss: 1.1094 2022-09-12 22:59:51,981 - mmdet - INFO - Epoch [7][4600/7330] lr: 1.000e-04, eta: 3 days, 9:18:17, time: 1.359, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.2080, s0.loss_cls: 0.1590, s0.acc: 94.3601, s0.loss_bbox: 0.0910, s0.loss_mask: 0.2068, s1.loss_cls: 0.0755, s1.acc: 94.6731, s1.loss_bbox: 0.0975, s1.loss_mask: 0.0974, s2.loss_cls: 0.0376, s2.acc: 94.5799, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0457, loss: 1.1369 2022-09-12 23:01:00,876 - mmdet - INFO - Epoch [7][4650/7330] lr: 1.000e-04, eta: 3 days, 9:17:13, time: 1.378, data_time: 0.039, memory: 64759, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.2216, s0.loss_cls: 0.1723, s0.acc: 93.9231, s0.loss_bbox: 0.0970, s0.loss_mask: 0.2212, s1.loss_cls: 0.0829, s1.acc: 94.1982, s1.loss_bbox: 0.1029, s1.loss_mask: 0.1033, s2.loss_cls: 0.0418, s2.acc: 94.0192, s2.loss_bbox: 0.0628, s2.loss_mask: 0.0483, loss: 1.2141 2022-09-12 23:02:09,731 - mmdet - INFO - Epoch [7][4700/7330] lr: 1.000e-04, eta: 3 days, 9:16:09, time: 1.377, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2081, s0.loss_cls: 0.1645, s0.acc: 94.2112, s0.loss_bbox: 0.0934, s0.loss_mask: 0.2118, s1.loss_cls: 0.0798, s1.acc: 94.3055, s1.loss_bbox: 0.0990, s1.loss_mask: 0.0989, s2.loss_cls: 0.0406, s2.acc: 94.0669, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0463, loss: 1.1586 2022-09-12 23:03:18,863 - mmdet - INFO - Epoch [7][4750/7330] lr: 1.000e-04, eta: 3 days, 9:15:06, time: 1.383, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2146, s0.loss_cls: 0.1636, s0.acc: 94.1858, s0.loss_bbox: 0.0894, s0.loss_mask: 0.2084, s1.loss_cls: 0.0787, s1.acc: 94.4485, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0981, s2.loss_cls: 0.0397, s2.acc: 94.3249, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0462, loss: 1.1526 2022-09-12 23:04:26,535 - mmdet - INFO - Epoch [7][4800/7330] lr: 1.000e-04, eta: 3 days, 9:13:56, time: 1.353, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.2064, s0.loss_cls: 0.1591, s0.acc: 94.4702, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2029, s1.loss_cls: 0.0748, s1.acc: 94.8312, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0953, s2.loss_cls: 0.0376, s2.acc: 94.5805, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0447, loss: 1.1134 2022-09-12 23:05:34,307 - mmdet - INFO - Epoch [7][4850/7330] lr: 1.000e-04, eta: 3 days, 9:12:47, time: 1.353, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2096, s0.loss_cls: 0.1621, s0.acc: 94.2451, s0.loss_bbox: 0.0919, s0.loss_mask: 0.2136, s1.loss_cls: 0.0786, s1.acc: 94.4471, s1.loss_bbox: 0.0988, s1.loss_mask: 0.0997, s2.loss_cls: 0.0391, s2.acc: 94.2867, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0464, loss: 1.1577 2022-09-12 23:06:42,513 - mmdet - INFO - Epoch [7][4900/7330] lr: 1.000e-04, eta: 3 days, 9:11:41, time: 1.366, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2042, s0.loss_cls: 0.1594, s0.acc: 94.2939, s0.loss_bbox: 0.0881, s0.loss_mask: 0.2064, s1.loss_cls: 0.0763, s1.acc: 94.5071, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0963, s2.loss_cls: 0.0388, s2.acc: 94.3111, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0453, loss: 1.1235 2022-09-12 23:07:50,856 - mmdet - INFO - Epoch [7][4950/7330] lr: 1.000e-04, eta: 3 days, 9:10:34, time: 1.367, data_time: 0.038, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2076, s0.loss_cls: 0.1736, s0.acc: 93.9792, s0.loss_bbox: 0.0910, s0.loss_mask: 0.2072, s1.loss_cls: 0.0838, s1.acc: 94.1698, s1.loss_bbox: 0.0991, s1.loss_mask: 0.0969, s2.loss_cls: 0.0424, s2.acc: 93.9795, s2.loss_bbox: 0.0633, s2.loss_mask: 0.0458, loss: 1.1659 2022-09-12 23:08:59,235 - mmdet - INFO - Epoch [7][5000/7330] lr: 1.000e-04, eta: 3 days, 9:09:28, time: 1.367, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2131, s0.loss_cls: 0.1654, s0.acc: 94.2808, s0.loss_bbox: 0.0895, s0.loss_mask: 0.2090, s1.loss_cls: 0.0794, s1.acc: 94.5309, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0977, s2.loss_cls: 0.0402, s2.acc: 94.3161, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0454, loss: 1.1483 2022-09-12 23:10:08,294 - mmdet - INFO - Epoch [7][5050/7330] lr: 1.000e-04, eta: 3 days, 9:08:25, time: 1.381, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0327, loss_semantic_seg: 0.1995, s0.loss_cls: 0.1630, s0.acc: 94.2036, s0.loss_bbox: 0.0911, s0.loss_mask: 0.2112, s1.loss_cls: 0.0794, s1.acc: 94.3712, s1.loss_bbox: 0.0971, s1.loss_mask: 0.0979, s2.loss_cls: 0.0401, s2.acc: 94.3084, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0460, loss: 1.1414 2022-09-12 23:11:16,627 - mmdet - INFO - Epoch [7][5100/7330] lr: 1.000e-04, eta: 3 days, 9:07:18, time: 1.367, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2124, s0.loss_cls: 0.1612, s0.acc: 94.3213, s0.loss_bbox: 0.0882, s0.loss_mask: 0.2071, s1.loss_cls: 0.0770, s1.acc: 94.5525, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0971, s2.loss_cls: 0.0392, s2.acc: 94.3390, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0458, loss: 1.1343 2022-09-12 23:12:25,400 - mmdet - INFO - Epoch [7][5150/7330] lr: 1.000e-04, eta: 3 days, 9:06:14, time: 1.375, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.2094, s0.loss_cls: 0.1671, s0.acc: 94.1458, s0.loss_bbox: 0.0915, s0.loss_mask: 0.2141, s1.loss_cls: 0.0789, s1.acc: 94.4752, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0993, s2.loss_cls: 0.0405, s2.acc: 94.1490, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0467, loss: 1.1594 2022-09-12 23:13:32,982 - mmdet - INFO - Epoch [7][5200/7330] lr: 1.000e-04, eta: 3 days, 9:05:04, time: 1.352, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2104, s0.loss_cls: 0.1661, s0.acc: 94.1899, s0.loss_bbox: 0.0918, s0.loss_mask: 0.2086, s1.loss_cls: 0.0795, s1.acc: 94.4988, s1.loss_bbox: 0.0958, s1.loss_mask: 0.0973, s2.loss_cls: 0.0398, s2.acc: 94.3519, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0455, loss: 1.1540 2022-09-12 23:14:40,891 - mmdet - INFO - Epoch [7][5250/7330] lr: 1.000e-04, eta: 3 days, 9:03:56, time: 1.358, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.2014, s0.loss_cls: 0.1647, s0.acc: 94.1501, s0.loss_bbox: 0.0926, s0.loss_mask: 0.2110, s1.loss_cls: 0.0774, s1.acc: 94.5252, s1.loss_bbox: 0.0960, s1.loss_mask: 0.0981, s2.loss_cls: 0.0390, s2.acc: 94.3799, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0459, loss: 1.1406 2022-09-12 23:15:49,860 - mmdet - INFO - Epoch [7][5300/7330] lr: 1.000e-04, eta: 3 days, 9:02:52, time: 1.379, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2040, s0.loss_cls: 0.1668, s0.acc: 94.0454, s0.loss_bbox: 0.0936, s0.loss_mask: 0.2130, s1.loss_cls: 0.0780, s1.acc: 94.4149, s1.loss_bbox: 0.0998, s1.loss_mask: 0.0997, s2.loss_cls: 0.0397, s2.acc: 94.2103, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0468, loss: 1.1609 2022-09-12 23:16:58,256 - mmdet - INFO - Epoch [7][5350/7330] lr: 1.000e-04, eta: 3 days, 9:01:46, time: 1.368, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.2030, s0.loss_cls: 0.1647, s0.acc: 94.1541, s0.loss_bbox: 0.0895, s0.loss_mask: 0.2077, s1.loss_cls: 0.0782, s1.acc: 94.4756, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0970, s2.loss_cls: 0.0393, s2.acc: 94.3269, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0456, loss: 1.1312 2022-09-12 23:18:06,659 - mmdet - INFO - Epoch [7][5400/7330] lr: 1.000e-04, eta: 3 days, 9:00:40, time: 1.368, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.2105, s0.loss_cls: 0.1660, s0.acc: 94.1445, s0.loss_bbox: 0.0897, s0.loss_mask: 0.2054, s1.loss_cls: 0.0805, s1.acc: 94.3147, s1.loss_bbox: 0.0994, s1.loss_mask: 0.0969, s2.loss_cls: 0.0405, s2.acc: 94.0699, s2.loss_bbox: 0.0622, s2.loss_mask: 0.0459, loss: 1.1512 2022-09-12 23:19:13,946 - mmdet - INFO - Epoch [7][5450/7330] lr: 1.000e-04, eta: 3 days, 8:59:29, time: 1.346, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.2113, s0.loss_cls: 0.1644, s0.acc: 94.2590, s0.loss_bbox: 0.0912, s0.loss_mask: 0.2097, s1.loss_cls: 0.0778, s1.acc: 94.5570, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0983, s2.loss_cls: 0.0390, s2.acc: 94.4794, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0460, loss: 1.1499 2022-09-12 23:20:21,672 - mmdet - INFO - Epoch [7][5500/7330] lr: 1.000e-04, eta: 3 days, 8:58:20, time: 1.354, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2112, s0.loss_cls: 0.1648, s0.acc: 94.1970, s0.loss_bbox: 0.0917, s0.loss_mask: 0.2100, s1.loss_cls: 0.0793, s1.acc: 94.4394, s1.loss_bbox: 0.0972, s1.loss_mask: 0.0987, s2.loss_cls: 0.0400, s2.acc: 94.2960, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0466, loss: 1.1583 2022-09-12 23:21:29,874 - mmdet - INFO - Epoch [7][5550/7330] lr: 1.000e-04, eta: 3 days, 8:57:13, time: 1.364, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.2099, s0.loss_cls: 0.1649, s0.acc: 94.2485, s0.loss_bbox: 0.0907, s0.loss_mask: 0.2119, s1.loss_cls: 0.0783, s1.acc: 94.5151, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0988, s2.loss_cls: 0.0399, s2.acc: 94.2805, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0462, loss: 1.1534 2022-09-12 23:22:38,682 - mmdet - INFO - Epoch [7][5600/7330] lr: 1.000e-04, eta: 3 days, 8:56:08, time: 1.376, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2062, s0.loss_cls: 0.1622, s0.acc: 94.1311, s0.loss_bbox: 0.0931, s0.loss_mask: 0.2153, s1.loss_cls: 0.0785, s1.acc: 94.3242, s1.loss_bbox: 0.0992, s1.loss_mask: 0.1001, s2.loss_cls: 0.0398, s2.acc: 94.1649, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0470, loss: 1.1595 2022-09-12 23:23:46,788 - mmdet - INFO - Epoch [7][5650/7330] lr: 1.000e-04, eta: 3 days, 8:55:01, time: 1.362, data_time: 0.033, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.2101, s0.loss_cls: 0.1625, s0.acc: 94.2261, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2101, s1.loss_cls: 0.0784, s1.acc: 94.4555, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0988, s2.loss_cls: 0.0402, s2.acc: 94.2220, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0462, loss: 1.1388 2022-09-12 23:24:54,434 - mmdet - INFO - Epoch [7][5700/7330] lr: 1.000e-04, eta: 3 days, 8:53:51, time: 1.353, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.2044, s0.loss_cls: 0.1620, s0.acc: 94.3135, s0.loss_bbox: 0.0887, s0.loss_mask: 0.2106, s1.loss_cls: 0.0788, s1.acc: 94.4660, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0990, s2.loss_cls: 0.0396, s2.acc: 94.3563, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0465, loss: 1.1410 2022-09-12 23:26:02,166 - mmdet - INFO - Epoch [7][5750/7330] lr: 1.000e-04, eta: 3 days, 8:52:42, time: 1.355, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2063, s0.loss_cls: 0.1672, s0.acc: 94.1003, s0.loss_bbox: 0.0917, s0.loss_mask: 0.2090, s1.loss_cls: 0.0798, s1.acc: 94.3715, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0967, s2.loss_cls: 0.0405, s2.acc: 94.1439, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0453, loss: 1.1538 2022-09-12 23:27:10,380 - mmdet - INFO - Epoch [7][5800/7330] lr: 1.000e-04, eta: 3 days, 8:51:35, time: 1.364, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.2010, s0.loss_cls: 0.1536, s0.acc: 94.6001, s0.loss_bbox: 0.0860, s0.loss_mask: 0.2087, s1.loss_cls: 0.0736, s1.acc: 94.8249, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0980, s2.loss_cls: 0.0373, s2.acc: 94.6919, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0459, loss: 1.1087 2022-09-12 23:28:19,207 - mmdet - INFO - Epoch [7][5850/7330] lr: 1.000e-04, eta: 3 days, 8:50:31, time: 1.377, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.1991, s0.loss_cls: 0.1636, s0.acc: 94.3237, s0.loss_bbox: 0.0922, s0.loss_mask: 0.2046, s1.loss_cls: 0.0781, s1.acc: 94.5785, s1.loss_bbox: 0.0979, s1.loss_mask: 0.0955, s2.loss_cls: 0.0400, s2.acc: 94.3452, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0450, loss: 1.1337 2022-09-12 23:29:28,378 - mmdet - INFO - Epoch [7][5900/7330] lr: 1.000e-04, eta: 3 days, 8:49:28, time: 1.382, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2045, s0.loss_cls: 0.1580, s0.acc: 94.3665, s0.loss_bbox: 0.0916, s0.loss_mask: 0.2121, s1.loss_cls: 0.0759, s1.acc: 94.5360, s1.loss_bbox: 0.0991, s1.loss_mask: 0.1000, s2.loss_cls: 0.0388, s2.acc: 94.2594, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0472, loss: 1.1438 2022-09-12 23:30:36,466 - mmdet - INFO - Epoch [7][5950/7330] lr: 1.000e-04, eta: 3 days, 8:48:20, time: 1.362, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2078, s0.loss_cls: 0.1716, s0.acc: 93.9875, s0.loss_bbox: 0.0916, s0.loss_mask: 0.2165, s1.loss_cls: 0.0831, s1.acc: 94.2455, s1.loss_bbox: 0.0989, s1.loss_mask: 0.1018, s2.loss_cls: 0.0421, s2.acc: 93.9122, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0477, loss: 1.1786 2022-09-12 23:31:44,051 - mmdet - INFO - Epoch [7][6000/7330] lr: 1.000e-04, eta: 3 days, 8:47:11, time: 1.353, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1970, s0.loss_cls: 0.1622, s0.acc: 94.3135, s0.loss_bbox: 0.0892, s0.loss_mask: 0.2100, s1.loss_cls: 0.0769, s1.acc: 94.5731, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0990, s2.loss_cls: 0.0388, s2.acc: 94.4510, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0462, loss: 1.1275 2022-09-12 23:32:52,168 - mmdet - INFO - Epoch [7][6050/7330] lr: 1.000e-04, eta: 3 days, 8:46:04, time: 1.362, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2072, s0.loss_cls: 0.1626, s0.acc: 94.4143, s0.loss_bbox: 0.0892, s0.loss_mask: 0.2086, s1.loss_cls: 0.0764, s1.acc: 94.7428, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0969, s2.loss_cls: 0.0390, s2.acc: 94.4668, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0458, loss: 1.1345 2022-09-12 23:33:59,805 - mmdet - INFO - Epoch [7][6100/7330] lr: 1.000e-04, eta: 3 days, 8:44:54, time: 1.353, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.2083, s0.loss_cls: 0.1593, s0.acc: 94.2708, s0.loss_bbox: 0.0898, s0.loss_mask: 0.2169, s1.loss_cls: 0.0767, s1.acc: 94.4332, s1.loss_bbox: 0.0955, s1.loss_mask: 0.1027, s2.loss_cls: 0.0386, s2.acc: 94.3877, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0483, loss: 1.1519 2022-09-12 23:35:08,070 - mmdet - INFO - Epoch [7][6150/7330] lr: 1.000e-04, eta: 3 days, 8:43:47, time: 1.365, data_time: 0.033, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.1973, s0.loss_cls: 0.1652, s0.acc: 94.1899, s0.loss_bbox: 0.0898, s0.loss_mask: 0.2064, s1.loss_cls: 0.0796, s1.acc: 94.3442, s1.loss_bbox: 0.0961, s1.loss_mask: 0.0967, s2.loss_cls: 0.0403, s2.acc: 94.1855, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0457, loss: 1.1334 2022-09-12 23:36:16,784 - mmdet - INFO - Epoch [7][6200/7330] lr: 1.000e-04, eta: 3 days, 8:42:42, time: 1.374, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.2102, s0.loss_cls: 0.1573, s0.acc: 94.4792, s0.loss_bbox: 0.0840, s0.loss_mask: 0.2039, s1.loss_cls: 0.0754, s1.acc: 94.7409, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0960, s2.loss_cls: 0.0387, s2.acc: 94.4864, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0454, loss: 1.1118 2022-09-12 23:37:24,948 - mmdet - INFO - Epoch [7][6250/7330] lr: 1.000e-04, eta: 3 days, 8:41:35, time: 1.362, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2095, s0.loss_cls: 0.1646, s0.acc: 94.2500, s0.loss_bbox: 0.0923, s0.loss_mask: 0.2098, s1.loss_cls: 0.0789, s1.acc: 94.5233, s1.loss_bbox: 0.0989, s1.loss_mask: 0.0984, s2.loss_cls: 0.0397, s2.acc: 94.3701, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0463, loss: 1.1569 2022-09-12 23:38:32,437 - mmdet - INFO - Epoch [7][6300/7330] lr: 1.000e-04, eta: 3 days, 8:40:25, time: 1.351, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1991, s0.loss_cls: 0.1662, s0.acc: 94.1318, s0.loss_bbox: 0.0924, s0.loss_mask: 0.2092, s1.loss_cls: 0.0810, s1.acc: 94.2778, s1.loss_bbox: 0.0996, s1.loss_mask: 0.0974, s2.loss_cls: 0.0405, s2.acc: 94.2402, s2.loss_bbox: 0.0621, s2.loss_mask: 0.0454, loss: 1.1474 2022-09-12 23:39:39,060 - mmdet - INFO - Epoch [7][6350/7330] lr: 1.000e-04, eta: 3 days, 8:39:11, time: 1.332, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.2030, s0.loss_cls: 0.1545, s0.acc: 94.5498, s0.loss_bbox: 0.0863, s0.loss_mask: 0.2068, s1.loss_cls: 0.0740, s1.acc: 94.7226, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0974, s2.loss_cls: 0.0379, s2.acc: 94.4400, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0459, loss: 1.1071 2022-09-12 23:40:47,054 - mmdet - INFO - Epoch [7][6400/7330] lr: 1.000e-04, eta: 3 days, 8:38:03, time: 1.360, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.2027, s0.loss_cls: 0.1561, s0.acc: 94.4297, s0.loss_bbox: 0.0852, s0.loss_mask: 0.2077, s1.loss_cls: 0.0752, s1.acc: 94.6267, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0977, s2.loss_cls: 0.0381, s2.acc: 94.4615, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0453, loss: 1.1099 2022-09-12 23:41:54,912 - mmdet - INFO - Epoch [7][6450/7330] lr: 1.000e-04, eta: 3 days, 8:36:55, time: 1.357, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.2012, s0.loss_cls: 0.1596, s0.acc: 94.2739, s0.loss_bbox: 0.0883, s0.loss_mask: 0.2074, s1.loss_cls: 0.0776, s1.acc: 94.4001, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0970, s2.loss_cls: 0.0394, s2.acc: 94.2403, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0453, loss: 1.1217 2022-09-12 23:43:02,314 - mmdet - INFO - Epoch [7][6500/7330] lr: 1.000e-04, eta: 3 days, 8:35:44, time: 1.348, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.2078, s0.loss_cls: 0.1603, s0.acc: 94.3740, s0.loss_bbox: 0.0883, s0.loss_mask: 0.2075, s1.loss_cls: 0.0777, s1.acc: 94.6117, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0967, s2.loss_cls: 0.0394, s2.acc: 94.4061, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0456, loss: 1.1320 2022-09-12 23:44:11,092 - mmdet - INFO - Epoch [7][6550/7330] lr: 1.000e-04, eta: 3 days, 8:34:40, time: 1.376, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2092, s0.loss_cls: 0.1651, s0.acc: 94.1741, s0.loss_bbox: 0.0921, s0.loss_mask: 0.2109, s1.loss_cls: 0.0795, s1.acc: 94.4257, s1.loss_bbox: 0.0968, s1.loss_mask: 0.0978, s2.loss_cls: 0.0404, s2.acc: 94.1776, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0458, loss: 1.1547 2022-09-12 23:45:19,253 - mmdet - INFO - Epoch [7][6600/7330] lr: 1.000e-04, eta: 3 days, 8:33:33, time: 1.363, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.2054, s0.loss_cls: 0.1603, s0.acc: 94.3882, s0.loss_bbox: 0.0881, s0.loss_mask: 0.2097, s1.loss_cls: 0.0769, s1.acc: 94.5908, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0991, s2.loss_cls: 0.0389, s2.acc: 94.3475, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0463, loss: 1.1333 2022-09-12 23:46:28,405 - mmdet - INFO - Epoch [7][6650/7330] lr: 1.000e-04, eta: 3 days, 8:32:30, time: 1.383, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2029, s0.loss_cls: 0.1656, s0.acc: 94.2419, s0.loss_bbox: 0.0904, s0.loss_mask: 0.2049, s1.loss_cls: 0.0798, s1.acc: 94.4187, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0958, s2.loss_cls: 0.0401, s2.acc: 94.2060, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0449, loss: 1.1374 2022-09-12 23:47:39,057 - mmdet - INFO - Epoch [7][6700/7330] lr: 1.000e-04, eta: 3 days, 8:31:33, time: 1.413, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2146, s0.loss_cls: 0.1617, s0.acc: 94.2534, s0.loss_bbox: 0.0907, s0.loss_mask: 0.2110, s1.loss_cls: 0.0769, s1.acc: 94.5048, s1.loss_bbox: 0.0979, s1.loss_mask: 0.0995, s2.loss_cls: 0.0393, s2.acc: 94.2449, s2.loss_bbox: 0.0611, s2.loss_mask: 0.0468, loss: 1.1588 2022-09-12 23:48:47,200 - mmdet - INFO - Epoch [7][6750/7330] lr: 1.000e-04, eta: 3 days, 8:30:25, time: 1.363, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.2067, s0.loss_cls: 0.1593, s0.acc: 94.3264, s0.loss_bbox: 0.0883, s0.loss_mask: 0.2050, s1.loss_cls: 0.0768, s1.acc: 94.5305, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0965, s2.loss_cls: 0.0387, s2.acc: 94.3810, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0449, loss: 1.1189 2022-09-12 23:49:54,417 - mmdet - INFO - Epoch [7][6800/7330] lr: 1.000e-04, eta: 3 days, 8:29:14, time: 1.344, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.2017, s0.loss_cls: 0.1576, s0.acc: 94.4578, s0.loss_bbox: 0.0837, s0.loss_mask: 0.2056, s1.loss_cls: 0.0754, s1.acc: 94.6753, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0965, s2.loss_cls: 0.0383, s2.acc: 94.4542, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0455, loss: 1.1061 2022-09-12 23:51:04,563 - mmdet - INFO - Epoch [7][6850/7330] lr: 1.000e-04, eta: 3 days, 8:28:15, time: 1.403, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.2057, s0.loss_cls: 0.1719, s0.acc: 94.0601, s0.loss_bbox: 0.0916, s0.loss_mask: 0.2154, s1.loss_cls: 0.0835, s1.acc: 94.2558, s1.loss_bbox: 0.0978, s1.loss_mask: 0.1000, s2.loss_cls: 0.0419, s2.acc: 94.0532, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0464, loss: 1.1732 2022-09-12 23:52:14,415 - mmdet - INFO - Epoch [7][6900/7330] lr: 1.000e-04, eta: 3 days, 8:27:15, time: 1.397, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2077, s0.loss_cls: 0.1632, s0.acc: 94.2529, s0.loss_bbox: 0.0909, s0.loss_mask: 0.2086, s1.loss_cls: 0.0792, s1.acc: 94.4305, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0971, s2.loss_cls: 0.0399, s2.acc: 94.2001, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0450, loss: 1.1468 2022-09-12 23:53:24,179 - mmdet - INFO - Epoch [7][6950/7330] lr: 1.000e-04, eta: 3 days, 8:26:15, time: 1.395, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.2027, s0.loss_cls: 0.1702, s0.acc: 94.0557, s0.loss_bbox: 0.0925, s0.loss_mask: 0.2207, s1.loss_cls: 0.0823, s1.acc: 94.3503, s1.loss_bbox: 0.0988, s1.loss_mask: 0.1033, s2.loss_cls: 0.0414, s2.acc: 94.1333, s2.loss_bbox: 0.0619, s2.loss_mask: 0.0484, loss: 1.1814 2022-09-12 23:54:31,791 - mmdet - INFO - Epoch [7][7000/7330] lr: 1.000e-04, eta: 3 days, 8:25:05, time: 1.352, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2011, s0.loss_cls: 0.1547, s0.acc: 94.4875, s0.loss_bbox: 0.0891, s0.loss_mask: 0.2114, s1.loss_cls: 0.0750, s1.acc: 94.6160, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0989, s2.loss_cls: 0.0379, s2.acc: 94.5264, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0463, loss: 1.1251 2022-09-12 23:55:40,489 - mmdet - INFO - Epoch [7][7050/7330] lr: 1.000e-04, eta: 3 days, 8:24:00, time: 1.374, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.2000, s0.loss_cls: 0.1574, s0.acc: 94.4414, s0.loss_bbox: 0.0866, s0.loss_mask: 0.2120, s1.loss_cls: 0.0754, s1.acc: 94.6922, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0986, s2.loss_cls: 0.0390, s2.acc: 94.4298, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0459, loss: 1.1189 2022-09-12 23:56:49,806 - mmdet - INFO - Epoch [7][7100/7330] lr: 1.000e-04, eta: 3 days, 8:22:57, time: 1.386, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2075, s0.loss_cls: 0.1637, s0.acc: 94.2766, s0.loss_bbox: 0.0882, s0.loss_mask: 0.2064, s1.loss_cls: 0.0780, s1.acc: 94.5379, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0966, s2.loss_cls: 0.0395, s2.acc: 94.4069, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0453, loss: 1.1330 2022-09-12 23:57:59,080 - mmdet - INFO - Epoch [7][7150/7330] lr: 1.000e-04, eta: 3 days, 8:21:55, time: 1.385, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.2079, s0.loss_cls: 0.1596, s0.acc: 94.2903, s0.loss_bbox: 0.0876, s0.loss_mask: 0.2064, s1.loss_cls: 0.0777, s1.acc: 94.4893, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0973, s2.loss_cls: 0.0392, s2.acc: 94.2860, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0458, loss: 1.1286 2022-09-12 23:59:07,968 - mmdet - INFO - Epoch [7][7200/7330] lr: 1.000e-04, eta: 3 days, 8:20:50, time: 1.378, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2088, s0.loss_cls: 0.1601, s0.acc: 94.4111, s0.loss_bbox: 0.0896, s0.loss_mask: 0.2028, s1.loss_cls: 0.0746, s1.acc: 94.7388, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0950, s2.loss_cls: 0.0381, s2.acc: 94.5379, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0446, loss: 1.1261 2022-09-13 00:00:20,759 - mmdet - INFO - Epoch [7][7250/7330] lr: 1.000e-04, eta: 3 days, 8:20:02, time: 1.456, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2109, s0.loss_cls: 0.1658, s0.acc: 94.1501, s0.loss_bbox: 0.0906, s0.loss_mask: 0.2065, s1.loss_cls: 0.0808, s1.acc: 94.3131, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0959, s2.loss_cls: 0.0406, s2.acc: 94.1491, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0451, loss: 1.1473 2022-09-13 00:01:29,729 - mmdet - INFO - Epoch [7][7300/7330] lr: 1.000e-04, eta: 3 days, 8:18:58, time: 1.379, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2007, s0.loss_cls: 0.1725, s0.acc: 93.9810, s0.loss_bbox: 0.0902, s0.loss_mask: 0.2058, s1.loss_cls: 0.0833, s1.acc: 94.1463, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0960, s2.loss_cls: 0.0420, s2.acc: 94.0155, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0452, loss: 1.1442 2022-09-13 00:02:20,506 - mmdet - INFO - Saving checkpoint at 7 epochs 2022-09-13 00:06:04,310 - mmdet - INFO - Evaluating bbox... 2022-09-13 00:07:08,581 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.536 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.724 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.596 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.391 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.575 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.653 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.712 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.712 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.712 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.565 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.752 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.835 2022-09-13 00:07:08,582 - mmdet - INFO - Evaluating segm... 2022-09-13 00:08:28,773 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.470 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.706 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.514 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.285 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.507 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.644 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.623 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.623 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.623 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.464 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.660 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.763 2022-09-13 00:08:30,314 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 00:08:30,315 - mmdet - INFO - Epoch(val) [7][313] bbox_mAP: 0.5360, bbox_mAP_50: 0.7240, bbox_mAP_75: 0.5960, bbox_mAP_s: 0.3910, bbox_mAP_m: 0.5750, bbox_mAP_l: 0.6530, bbox_mAP_copypaste: 0.536 0.724 0.596 0.391 0.575 0.653, segm_mAP: 0.4700, segm_mAP_50: 0.7060, segm_mAP_75: 0.5140, segm_mAP_s: 0.2850, segm_mAP_m: 0.5070, segm_mAP_l: 0.6440, segm_mAP_copypaste: 0.470 0.706 0.514 0.285 0.507 0.644 2022-09-13 00:11:34,710 - mmdet - INFO - Epoch [8][50/7330] lr: 1.000e-04, eta: 3 days, 8:22:22, time: 3.686, data_time: 2.325, memory: 64759, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1981, s0.loss_cls: 0.1568, s0.acc: 94.3967, s0.loss_bbox: 0.0872, s0.loss_mask: 0.2021, s1.loss_cls: 0.0760, s1.acc: 94.5567, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0932, s2.loss_cls: 0.0387, s2.acc: 94.3803, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0436, loss: 1.0983 2022-09-13 00:12:42,893 - mmdet - INFO - Epoch [8][100/7330] lr: 1.000e-04, eta: 3 days, 8:21:14, time: 1.364, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.2005, s0.loss_cls: 0.1546, s0.acc: 94.5566, s0.loss_bbox: 0.0857, s0.loss_mask: 0.2048, s1.loss_cls: 0.0746, s1.acc: 94.7049, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0964, s2.loss_cls: 0.0382, s2.acc: 94.4594, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0451, loss: 1.1060 2022-09-13 00:13:51,412 - mmdet - INFO - Epoch [8][150/7330] lr: 1.000e-04, eta: 3 days, 8:20:08, time: 1.370, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.1989, s0.loss_cls: 0.1668, s0.acc: 94.1213, s0.loss_bbox: 0.0939, s0.loss_mask: 0.2092, s1.loss_cls: 0.0778, s1.acc: 94.4374, s1.loss_bbox: 0.1004, s1.loss_mask: 0.0986, s2.loss_cls: 0.0395, s2.acc: 94.2990, s2.loss_bbox: 0.0623, s2.loss_mask: 0.0464, loss: 1.1480 2022-09-13 00:14:59,213 - mmdet - INFO - Epoch [8][200/7330] lr: 1.000e-04, eta: 3 days, 8:18:59, time: 1.356, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1999, s0.loss_cls: 0.1624, s0.acc: 94.2117, s0.loss_bbox: 0.0881, s0.loss_mask: 0.2107, s1.loss_cls: 0.0777, s1.acc: 94.4103, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0986, s2.loss_cls: 0.0393, s2.acc: 94.2548, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0463, loss: 1.1336 2022-09-13 00:16:07,635 - mmdet - INFO - Epoch [8][250/7330] lr: 1.000e-04, eta: 3 days, 8:17:52, time: 1.368, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.2038, s0.loss_cls: 0.1569, s0.acc: 94.5276, s0.loss_bbox: 0.0841, s0.loss_mask: 0.2038, s1.loss_cls: 0.0753, s1.acc: 94.7062, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0959, s2.loss_cls: 0.0386, s2.acc: 94.4221, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0449, loss: 1.1108 2022-09-13 00:17:15,851 - mmdet - INFO - Epoch [8][300/7330] lr: 1.000e-04, eta: 3 days, 8:16:45, time: 1.364, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1996, s0.loss_cls: 0.1635, s0.acc: 94.2627, s0.loss_bbox: 0.0887, s0.loss_mask: 0.2095, s1.loss_cls: 0.0780, s1.acc: 94.4701, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0975, s2.loss_cls: 0.0396, s2.acc: 94.2340, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0459, loss: 1.1301 2022-09-13 00:18:23,892 - mmdet - INFO - Epoch [8][350/7330] lr: 1.000e-04, eta: 3 days, 8:15:37, time: 1.361, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1968, s0.loss_cls: 0.1587, s0.acc: 94.3352, s0.loss_bbox: 0.0894, s0.loss_mask: 0.2077, s1.loss_cls: 0.0769, s1.acc: 94.5319, s1.loss_bbox: 0.0984, s1.loss_mask: 0.0977, s2.loss_cls: 0.0392, s2.acc: 94.2511, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0458, loss: 1.1261 2022-09-13 00:19:31,740 - mmdet - INFO - Epoch [8][400/7330] lr: 1.000e-04, eta: 3 days, 8:14:28, time: 1.357, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1949, s0.loss_cls: 0.1590, s0.acc: 94.3918, s0.loss_bbox: 0.0928, s0.loss_mask: 0.2072, s1.loss_cls: 0.0766, s1.acc: 94.4356, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0963, s2.loss_cls: 0.0380, s2.acc: 94.3818, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0452, loss: 1.1216 2022-09-13 00:20:39,935 - mmdet - INFO - Epoch [8][450/7330] lr: 1.000e-04, eta: 3 days, 8:13:20, time: 1.364, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1974, s0.loss_cls: 0.1572, s0.acc: 94.5439, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2063, s1.loss_cls: 0.0752, s1.acc: 94.7526, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0976, s2.loss_cls: 0.0375, s2.acc: 94.6916, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0462, loss: 1.1063 2022-09-13 00:21:47,749 - mmdet - INFO - Epoch [8][500/7330] lr: 1.000e-04, eta: 3 days, 8:12:11, time: 1.356, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.1990, s0.loss_cls: 0.1606, s0.acc: 94.2915, s0.loss_bbox: 0.0904, s0.loss_mask: 0.2062, s1.loss_cls: 0.0769, s1.acc: 94.4758, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0960, s2.loss_cls: 0.0392, s2.acc: 94.2395, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0450, loss: 1.1276 2022-09-13 00:22:56,733 - mmdet - INFO - Epoch [8][550/7330] lr: 1.000e-04, eta: 3 days, 8:11:07, time: 1.380, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.2005, s0.loss_cls: 0.1698, s0.acc: 93.9905, s0.loss_bbox: 0.0919, s0.loss_mask: 0.2075, s1.loss_cls: 0.0802, s1.acc: 94.2914, s1.loss_bbox: 0.0980, s1.loss_mask: 0.0978, s2.loss_cls: 0.0406, s2.acc: 94.1236, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0463, loss: 1.1504 2022-09-13 00:24:06,332 - mmdet - INFO - Epoch [8][600/7330] lr: 1.000e-04, eta: 3 days, 8:10:05, time: 1.392, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1943, s0.loss_cls: 0.1605, s0.acc: 94.2229, s0.loss_bbox: 0.0892, s0.loss_mask: 0.2151, s1.loss_cls: 0.0776, s1.acc: 94.4459, s1.loss_bbox: 0.0955, s1.loss_mask: 0.1011, s2.loss_cls: 0.0394, s2.acc: 94.2430, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0474, loss: 1.1359 2022-09-13 00:25:15,094 - mmdet - INFO - Epoch [8][650/7330] lr: 1.000e-04, eta: 3 days, 8:08:59, time: 1.375, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1985, s0.loss_cls: 0.1544, s0.acc: 94.4902, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2038, s1.loss_cls: 0.0743, s1.acc: 94.6941, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0954, s2.loss_cls: 0.0377, s2.acc: 94.5503, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0448, loss: 1.0998 2022-09-13 00:26:23,220 - mmdet - INFO - Epoch [8][700/7330] lr: 1.000e-04, eta: 3 days, 8:07:52, time: 1.362, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1970, s0.loss_cls: 0.1544, s0.acc: 94.5259, s0.loss_bbox: 0.0864, s0.loss_mask: 0.2080, s1.loss_cls: 0.0751, s1.acc: 94.7444, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0981, s2.loss_cls: 0.0387, s2.acc: 94.4420, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0459, loss: 1.1085 2022-09-13 00:27:30,703 - mmdet - INFO - Epoch [8][750/7330] lr: 1.000e-04, eta: 3 days, 8:06:41, time: 1.350, data_time: 0.017, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.2008, s0.loss_cls: 0.1637, s0.acc: 94.3440, s0.loss_bbox: 0.0897, s0.loss_mask: 0.2082, s1.loss_cls: 0.0787, s1.acc: 94.5711, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0986, s2.loss_cls: 0.0392, s2.acc: 94.4736, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0468, loss: 1.1330 2022-09-13 00:28:38,624 - mmdet - INFO - Epoch [8][800/7330] lr: 1.000e-04, eta: 3 days, 8:05:32, time: 1.358, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2043, s0.loss_cls: 0.1635, s0.acc: 94.1985, s0.loss_bbox: 0.0905, s0.loss_mask: 0.2083, s1.loss_cls: 0.0794, s1.acc: 94.3358, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0972, s2.loss_cls: 0.0399, s2.acc: 94.1456, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0449, loss: 1.1421 2022-09-13 00:29:47,507 - mmdet - INFO - Epoch [8][850/7330] lr: 1.000e-04, eta: 3 days, 8:04:28, time: 1.378, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.2026, s0.loss_cls: 0.1616, s0.acc: 94.2180, s0.loss_bbox: 0.0923, s0.loss_mask: 0.2118, s1.loss_cls: 0.0782, s1.acc: 94.4560, s1.loss_bbox: 0.0990, s1.loss_mask: 0.0991, s2.loss_cls: 0.0391, s2.acc: 94.3482, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0465, loss: 1.1447 2022-09-13 00:30:55,910 - mmdet - INFO - Epoch [8][900/7330] lr: 1.000e-04, eta: 3 days, 8:03:21, time: 1.368, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1990, s0.loss_cls: 0.1622, s0.acc: 94.2722, s0.loss_bbox: 0.0897, s0.loss_mask: 0.2070, s1.loss_cls: 0.0779, s1.acc: 94.5483, s1.loss_bbox: 0.0962, s1.loss_mask: 0.0970, s2.loss_cls: 0.0387, s2.acc: 94.4439, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0455, loss: 1.1292 2022-09-13 00:32:04,775 - mmdet - INFO - Epoch [8][950/7330] lr: 1.000e-04, eta: 3 days, 8:02:16, time: 1.377, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.1990, s0.loss_cls: 0.1541, s0.acc: 94.5522, s0.loss_bbox: 0.0866, s0.loss_mask: 0.2048, s1.loss_cls: 0.0743, s1.acc: 94.7155, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0957, s2.loss_cls: 0.0376, s2.acc: 94.5711, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0448, loss: 1.1064 2022-09-13 00:33:12,669 - mmdet - INFO - Epoch [8][1000/7330] lr: 1.000e-04, eta: 3 days, 8:01:07, time: 1.357, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2032, s0.loss_cls: 0.1551, s0.acc: 94.4766, s0.loss_bbox: 0.0891, s0.loss_mask: 0.2063, s1.loss_cls: 0.0748, s1.acc: 94.6995, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0967, s2.loss_cls: 0.0379, s2.acc: 94.4581, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0454, loss: 1.1132 2022-09-13 00:34:20,812 - mmdet - INFO - Epoch [8][1050/7330] lr: 1.000e-04, eta: 3 days, 7:59:59, time: 1.364, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.1970, s0.loss_cls: 0.1573, s0.acc: 94.4915, s0.loss_bbox: 0.0893, s0.loss_mask: 0.2095, s1.loss_cls: 0.0744, s1.acc: 94.7023, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0977, s2.loss_cls: 0.0377, s2.acc: 94.4943, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0455, loss: 1.1211 2022-09-13 00:35:29,940 - mmdet - INFO - Epoch [8][1100/7330] lr: 1.000e-04, eta: 3 days, 7:58:55, time: 1.383, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.2019, s0.loss_cls: 0.1558, s0.acc: 94.4033, s0.loss_bbox: 0.0878, s0.loss_mask: 0.2070, s1.loss_cls: 0.0758, s1.acc: 94.6096, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0970, s2.loss_cls: 0.0385, s2.acc: 94.4064, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0458, loss: 1.1224 2022-09-13 00:36:38,237 - mmdet - INFO - Epoch [8][1150/7330] lr: 1.000e-04, eta: 3 days, 7:57:48, time: 1.366, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.2029, s0.loss_cls: 0.1623, s0.acc: 94.2793, s0.loss_bbox: 0.0903, s0.loss_mask: 0.2105, s1.loss_cls: 0.0786, s1.acc: 94.4538, s1.loss_bbox: 0.0979, s1.loss_mask: 0.0990, s2.loss_cls: 0.0398, s2.acc: 94.1250, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0465, loss: 1.1425 2022-09-13 00:37:46,079 - mmdet - INFO - Epoch [8][1200/7330] lr: 1.000e-04, eta: 3 days, 7:56:39, time: 1.357, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1865, s0.loss_cls: 0.1551, s0.acc: 94.4939, s0.loss_bbox: 0.0859, s0.loss_mask: 0.2074, s1.loss_cls: 0.0749, s1.acc: 94.7017, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0973, s2.loss_cls: 0.0380, s2.acc: 94.3431, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0462, loss: 1.0977 2022-09-13 00:38:53,595 - mmdet - INFO - Epoch [8][1250/7330] lr: 1.000e-04, eta: 3 days, 7:55:29, time: 1.350, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1959, s0.loss_cls: 0.1558, s0.acc: 94.3325, s0.loss_bbox: 0.0881, s0.loss_mask: 0.2023, s1.loss_cls: 0.0742, s1.acc: 94.5585, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0947, s2.loss_cls: 0.0379, s2.acc: 94.3530, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0448, loss: 1.1034 2022-09-13 00:40:00,986 - mmdet - INFO - Epoch [8][1300/7330] lr: 1.000e-04, eta: 3 days, 7:54:18, time: 1.348, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.1990, s0.loss_cls: 0.1610, s0.acc: 94.2957, s0.loss_bbox: 0.0876, s0.loss_mask: 0.2092, s1.loss_cls: 0.0770, s1.acc: 94.5322, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0975, s2.loss_cls: 0.0392, s2.acc: 94.3574, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0460, loss: 1.1267 2022-09-13 00:41:07,869 - mmdet - INFO - Epoch [8][1350/7330] lr: 1.000e-04, eta: 3 days, 7:53:05, time: 1.338, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.1952, s0.loss_cls: 0.1512, s0.acc: 94.5586, s0.loss_bbox: 0.0870, s0.loss_mask: 0.2060, s1.loss_cls: 0.0724, s1.acc: 94.7791, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0955, s2.loss_cls: 0.0359, s2.acc: 94.6393, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0447, loss: 1.0958 2022-09-13 00:42:16,552 - mmdet - INFO - Epoch [8][1400/7330] lr: 1.000e-04, eta: 3 days, 7:51:59, time: 1.374, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.2041, s0.loss_cls: 0.1627, s0.acc: 94.2710, s0.loss_bbox: 0.0899, s0.loss_mask: 0.2129, s1.loss_cls: 0.0785, s1.acc: 94.3607, s1.loss_bbox: 0.0962, s1.loss_mask: 0.0998, s2.loss_cls: 0.0399, s2.acc: 94.1562, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0465, loss: 1.1448 2022-09-13 00:43:24,786 - mmdet - INFO - Epoch [8][1450/7330] lr: 1.000e-04, eta: 3 days, 7:50:52, time: 1.365, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2019, s0.loss_cls: 0.1578, s0.acc: 94.3420, s0.loss_bbox: 0.0892, s0.loss_mask: 0.2065, s1.loss_cls: 0.0763, s1.acc: 94.5713, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0968, s2.loss_cls: 0.0382, s2.acc: 94.3959, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0452, loss: 1.1275 2022-09-13 00:44:32,098 - mmdet - INFO - Epoch [8][1500/7330] lr: 1.000e-04, eta: 3 days, 7:49:41, time: 1.346, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.2069, s0.loss_cls: 0.1621, s0.acc: 94.3113, s0.loss_bbox: 0.0879, s0.loss_mask: 0.2073, s1.loss_cls: 0.0774, s1.acc: 94.5207, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0979, s2.loss_cls: 0.0394, s2.acc: 94.2329, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0459, loss: 1.1344 2022-09-13 00:45:39,873 - mmdet - INFO - Epoch [8][1550/7330] lr: 1.000e-04, eta: 3 days, 7:48:32, time: 1.355, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.1970, s0.loss_cls: 0.1518, s0.acc: 94.6096, s0.loss_bbox: 0.0864, s0.loss_mask: 0.2066, s1.loss_cls: 0.0726, s1.acc: 94.8046, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0968, s2.loss_cls: 0.0373, s2.acc: 94.5643, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0454, loss: 1.1011 2022-09-13 00:46:47,751 - mmdet - INFO - Epoch [8][1600/7330] lr: 1.000e-04, eta: 3 days, 7:47:23, time: 1.358, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1973, s0.loss_cls: 0.1517, s0.acc: 94.6406, s0.loss_bbox: 0.0860, s0.loss_mask: 0.2108, s1.loss_cls: 0.0721, s1.acc: 94.9031, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0999, s2.loss_cls: 0.0366, s2.acc: 94.7805, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0466, loss: 1.1076 2022-09-13 00:47:55,544 - mmdet - INFO - Epoch [8][1650/7330] lr: 1.000e-04, eta: 3 days, 7:46:13, time: 1.356, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1970, s0.loss_cls: 0.1485, s0.acc: 94.6814, s0.loss_bbox: 0.0836, s0.loss_mask: 0.2018, s1.loss_cls: 0.0705, s1.acc: 94.9249, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0953, s2.loss_cls: 0.0358, s2.acc: 94.6769, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0449, loss: 1.0798 2022-09-13 00:49:03,806 - mmdet - INFO - Epoch [8][1700/7330] lr: 1.000e-04, eta: 3 days, 7:45:06, time: 1.365, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.1991, s0.loss_cls: 0.1617, s0.acc: 94.1699, s0.loss_bbox: 0.0890, s0.loss_mask: 0.2067, s1.loss_cls: 0.0770, s1.acc: 94.4613, s1.loss_bbox: 0.0958, s1.loss_mask: 0.0978, s2.loss_cls: 0.0389, s2.acc: 94.2873, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0457, loss: 1.1301 2022-09-13 00:50:11,365 - mmdet - INFO - Epoch [8][1750/7330] lr: 1.000e-04, eta: 3 days, 7:43:56, time: 1.351, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.2039, s0.loss_cls: 0.1646, s0.acc: 94.3098, s0.loss_bbox: 0.0889, s0.loss_mask: 0.2107, s1.loss_cls: 0.0785, s1.acc: 94.5459, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0983, s2.loss_cls: 0.0394, s2.acc: 94.4684, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0462, loss: 1.1407 2022-09-13 00:51:19,739 - mmdet - INFO - Epoch [8][1800/7330] lr: 1.000e-04, eta: 3 days, 7:42:49, time: 1.367, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.1989, s0.loss_cls: 0.1639, s0.acc: 94.2168, s0.loss_bbox: 0.0928, s0.loss_mask: 0.2146, s1.loss_cls: 0.0783, s1.acc: 94.4117, s1.loss_bbox: 0.0984, s1.loss_mask: 0.1000, s2.loss_cls: 0.0399, s2.acc: 94.1278, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0467, loss: 1.1536 2022-09-13 00:52:27,906 - mmdet - INFO - Epoch [8][1850/7330] lr: 1.000e-04, eta: 3 days, 7:41:41, time: 1.362, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1985, s0.loss_cls: 0.1571, s0.acc: 94.3962, s0.loss_bbox: 0.0876, s0.loss_mask: 0.2018, s1.loss_cls: 0.0747, s1.acc: 94.6696, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0953, s2.loss_cls: 0.0374, s2.acc: 94.5398, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0453, loss: 1.1043 2022-09-13 00:53:35,255 - mmdet - INFO - Epoch [8][1900/7330] lr: 1.000e-04, eta: 3 days, 7:40:30, time: 1.349, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.2093, s0.loss_cls: 0.1618, s0.acc: 94.3809, s0.loss_bbox: 0.0878, s0.loss_mask: 0.1953, s1.loss_cls: 0.0771, s1.acc: 94.5355, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0920, s2.loss_cls: 0.0383, s2.acc: 94.4343, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0436, loss: 1.1125 2022-09-13 00:54:43,021 - mmdet - INFO - Epoch [8][1950/7330] lr: 1.000e-04, eta: 3 days, 7:39:21, time: 1.355, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1980, s0.loss_cls: 0.1517, s0.acc: 94.6169, s0.loss_bbox: 0.0864, s0.loss_mask: 0.2048, s1.loss_cls: 0.0724, s1.acc: 94.7390, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0960, s2.loss_cls: 0.0368, s2.acc: 94.5597, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0450, loss: 1.0938 2022-09-13 00:55:50,674 - mmdet - INFO - Epoch [8][2000/7330] lr: 1.000e-04, eta: 3 days, 7:38:11, time: 1.353, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1991, s0.loss_cls: 0.1557, s0.acc: 94.3901, s0.loss_bbox: 0.0868, s0.loss_mask: 0.1994, s1.loss_cls: 0.0749, s1.acc: 94.6337, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0930, s2.loss_cls: 0.0380, s2.acc: 94.4198, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0436, loss: 1.0958 2022-09-13 00:56:58,188 - mmdet - INFO - Epoch [8][2050/7330] lr: 1.000e-04, eta: 3 days, 7:37:01, time: 1.350, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.1990, s0.loss_cls: 0.1579, s0.acc: 94.3188, s0.loss_bbox: 0.0868, s0.loss_mask: 0.2010, s1.loss_cls: 0.0758, s1.acc: 94.5614, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0940, s2.loss_cls: 0.0390, s2.acc: 94.3435, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0437, loss: 1.1037 2022-09-13 00:58:06,328 - mmdet - INFO - Epoch [8][2100/7330] lr: 1.000e-04, eta: 3 days, 7:35:53, time: 1.363, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.2037, s0.loss_cls: 0.1690, s0.acc: 93.9919, s0.loss_bbox: 0.0933, s0.loss_mask: 0.2073, s1.loss_cls: 0.0817, s1.acc: 94.1904, s1.loss_bbox: 0.0969, s1.loss_mask: 0.0971, s2.loss_cls: 0.0413, s2.acc: 93.9801, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0454, loss: 1.1508 2022-09-13 00:59:14,327 - mmdet - INFO - Epoch [8][2150/7330] lr: 1.000e-04, eta: 3 days, 7:34:45, time: 1.360, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.1961, s0.loss_cls: 0.1631, s0.acc: 94.2078, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2032, s1.loss_cls: 0.0780, s1.acc: 94.3988, s1.loss_bbox: 0.0958, s1.loss_mask: 0.0953, s2.loss_cls: 0.0395, s2.acc: 94.1142, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0449, loss: 1.1215 2022-09-13 01:00:22,665 - mmdet - INFO - Epoch [8][2200/7330] lr: 1.000e-04, eta: 3 days, 7:33:38, time: 1.367, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.2056, s0.loss_cls: 0.1626, s0.acc: 94.2700, s0.loss_bbox: 0.0890, s0.loss_mask: 0.2115, s1.loss_cls: 0.0777, s1.acc: 94.6222, s1.loss_bbox: 0.0960, s1.loss_mask: 0.0992, s2.loss_cls: 0.0391, s2.acc: 94.4721, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0464, loss: 1.1403 2022-09-13 01:01:30,862 - mmdet - INFO - Epoch [8][2250/7330] lr: 1.000e-04, eta: 3 days, 7:32:30, time: 1.364, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1924, s0.loss_cls: 0.1587, s0.acc: 94.4146, s0.loss_bbox: 0.0874, s0.loss_mask: 0.2114, s1.loss_cls: 0.0767, s1.acc: 94.6032, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0999, s2.loss_cls: 0.0392, s2.acc: 94.3258, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0468, loss: 1.1243 2022-09-13 01:02:38,748 - mmdet - INFO - Epoch [8][2300/7330] lr: 1.000e-04, eta: 3 days, 7:31:21, time: 1.358, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2005, s0.loss_cls: 0.1589, s0.acc: 94.4084, s0.loss_bbox: 0.0854, s0.loss_mask: 0.1985, s1.loss_cls: 0.0765, s1.acc: 94.5685, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0924, s2.loss_cls: 0.0386, s2.acc: 94.4000, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0434, loss: 1.0969 2022-09-13 01:03:46,471 - mmdet - INFO - Epoch [8][2350/7330] lr: 1.000e-04, eta: 3 days, 7:30:12, time: 1.354, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2016, s0.loss_cls: 0.1628, s0.acc: 94.2322, s0.loss_bbox: 0.0919, s0.loss_mask: 0.2072, s1.loss_cls: 0.0788, s1.acc: 94.3967, s1.loss_bbox: 0.0977, s1.loss_mask: 0.0968, s2.loss_cls: 0.0397, s2.acc: 94.1259, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0451, loss: 1.1397 2022-09-13 01:04:54,143 - mmdet - INFO - Epoch [8][2400/7330] lr: 1.000e-04, eta: 3 days, 7:29:02, time: 1.353, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.2016, s0.loss_cls: 0.1582, s0.acc: 94.3701, s0.loss_bbox: 0.0867, s0.loss_mask: 0.2037, s1.loss_cls: 0.0762, s1.acc: 94.5814, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0950, s2.loss_cls: 0.0383, s2.acc: 94.4309, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0444, loss: 1.1121 2022-09-13 01:06:01,774 - mmdet - INFO - Epoch [8][2450/7330] lr: 1.000e-04, eta: 3 days, 7:27:52, time: 1.353, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2067, s0.loss_cls: 0.1625, s0.acc: 94.1670, s0.loss_bbox: 0.0905, s0.loss_mask: 0.2082, s1.loss_cls: 0.0776, s1.acc: 94.4720, s1.loss_bbox: 0.0977, s1.loss_mask: 0.0980, s2.loss_cls: 0.0388, s2.acc: 94.3483, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0462, loss: 1.1447 2022-09-13 01:07:09,644 - mmdet - INFO - Epoch [8][2500/7330] lr: 1.000e-04, eta: 3 days, 7:26:44, time: 1.357, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1989, s0.loss_cls: 0.1677, s0.acc: 94.1826, s0.loss_bbox: 0.0928, s0.loss_mask: 0.2150, s1.loss_cls: 0.0806, s1.acc: 94.3872, s1.loss_bbox: 0.0998, s1.loss_mask: 0.1016, s2.loss_cls: 0.0405, s2.acc: 94.3076, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0474, loss: 1.1606 2022-09-13 01:08:16,817 - mmdet - INFO - Epoch [8][2550/7330] lr: 1.000e-04, eta: 3 days, 7:25:32, time: 1.343, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.2039, s0.loss_cls: 0.1695, s0.acc: 94.0037, s0.loss_bbox: 0.0931, s0.loss_mask: 0.2091, s1.loss_cls: 0.0809, s1.acc: 94.2182, s1.loss_bbox: 0.0989, s1.loss_mask: 0.0980, s2.loss_cls: 0.0410, s2.acc: 94.0602, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0454, loss: 1.1553 2022-09-13 01:09:25,670 - mmdet - INFO - Epoch [8][2600/7330] lr: 1.000e-04, eta: 3 days, 7:24:27, time: 1.377, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2076, s0.loss_cls: 0.1641, s0.acc: 94.1536, s0.loss_bbox: 0.0886, s0.loss_mask: 0.2018, s1.loss_cls: 0.0787, s1.acc: 94.4414, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0944, s2.loss_cls: 0.0397, s2.acc: 94.2732, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0445, loss: 1.1340 2022-09-13 01:10:33,757 - mmdet - INFO - Epoch [8][2650/7330] lr: 1.000e-04, eta: 3 days, 7:23:19, time: 1.362, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.2071, s0.loss_cls: 0.1576, s0.acc: 94.2715, s0.loss_bbox: 0.0918, s0.loss_mask: 0.2045, s1.loss_cls: 0.0757, s1.acc: 94.4190, s1.loss_bbox: 0.0988, s1.loss_mask: 0.0959, s2.loss_cls: 0.0384, s2.acc: 94.2744, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0451, loss: 1.1300 2022-09-13 01:11:41,791 - mmdet - INFO - Epoch [8][2700/7330] lr: 1.000e-04, eta: 3 days, 7:22:11, time: 1.361, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1982, s0.loss_cls: 0.1508, s0.acc: 94.6284, s0.loss_bbox: 0.0845, s0.loss_mask: 0.2100, s1.loss_cls: 0.0715, s1.acc: 94.9185, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0981, s2.loss_cls: 0.0364, s2.acc: 94.7578, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0460, loss: 1.0961 2022-09-13 01:12:50,232 - mmdet - INFO - Epoch [8][2750/7330] lr: 1.000e-04, eta: 3 days, 7:21:04, time: 1.366, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.2001, s0.loss_cls: 0.1578, s0.acc: 94.4517, s0.loss_bbox: 0.0858, s0.loss_mask: 0.1999, s1.loss_cls: 0.0758, s1.acc: 94.6684, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0937, s2.loss_cls: 0.0383, s2.acc: 94.5567, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0440, loss: 1.1012 2022-09-13 01:13:58,258 - mmdet - INFO - Epoch [8][2800/7330] lr: 1.000e-04, eta: 3 days, 7:19:56, time: 1.363, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1938, s0.loss_cls: 0.1554, s0.acc: 94.4446, s0.loss_bbox: 0.0861, s0.loss_mask: 0.2071, s1.loss_cls: 0.0748, s1.acc: 94.6698, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0978, s2.loss_cls: 0.0381, s2.acc: 94.4480, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0460, loss: 1.1034 2022-09-13 01:15:06,310 - mmdet - INFO - Epoch [8][2850/7330] lr: 1.000e-04, eta: 3 days, 7:18:48, time: 1.361, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.2036, s0.loss_cls: 0.1560, s0.acc: 94.5173, s0.loss_bbox: 0.0854, s0.loss_mask: 0.2017, s1.loss_cls: 0.0742, s1.acc: 94.6965, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0952, s2.loss_cls: 0.0379, s2.acc: 94.4235, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0443, loss: 1.0974 2022-09-13 01:16:14,966 - mmdet - INFO - Epoch [8][2900/7330] lr: 1.000e-04, eta: 3 days, 7:17:42, time: 1.372, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1994, s0.loss_cls: 0.1593, s0.acc: 94.2952, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2051, s1.loss_cls: 0.0775, s1.acc: 94.4695, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0960, s2.loss_cls: 0.0395, s2.acc: 94.1958, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0445, loss: 1.1169 2022-09-13 01:17:22,373 - mmdet - INFO - Epoch [8][2950/7330] lr: 1.000e-04, eta: 3 days, 7:16:31, time: 1.350, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.2050, s0.loss_cls: 0.1526, s0.acc: 94.6494, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1974, s1.loss_cls: 0.0718, s1.acc: 94.9244, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0934, s2.loss_cls: 0.0368, s2.acc: 94.6525, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0439, loss: 1.0802 2022-09-13 01:18:29,973 - mmdet - INFO - Epoch [8][3000/7330] lr: 1.000e-04, eta: 3 days, 7:15:21, time: 1.352, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1988, s0.loss_cls: 0.1547, s0.acc: 94.5225, s0.loss_bbox: 0.0848, s0.loss_mask: 0.2048, s1.loss_cls: 0.0748, s1.acc: 94.6464, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0956, s2.loss_cls: 0.0383, s2.acc: 94.4350, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0452, loss: 1.1017 2022-09-13 01:19:38,272 - mmdet - INFO - Epoch [8][3050/7330] lr: 1.000e-04, eta: 3 days, 7:14:14, time: 1.364, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.2013, s0.loss_cls: 0.1538, s0.acc: 94.6165, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2034, s1.loss_cls: 0.0727, s1.acc: 94.8554, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0947, s2.loss_cls: 0.0365, s2.acc: 94.6696, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0445, loss: 1.0940 2022-09-13 01:20:46,668 - mmdet - INFO - Epoch [8][3100/7330] lr: 1.000e-04, eta: 3 days, 7:13:07, time: 1.369, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.2003, s0.loss_cls: 0.1625, s0.acc: 94.2388, s0.loss_bbox: 0.0908, s0.loss_mask: 0.2021, s1.loss_cls: 0.0772, s1.acc: 94.5333, s1.loss_bbox: 0.0983, s1.loss_mask: 0.0944, s2.loss_cls: 0.0396, s2.acc: 94.2804, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0443, loss: 1.1269 2022-09-13 01:21:54,474 - mmdet - INFO - Epoch [8][3150/7330] lr: 1.000e-04, eta: 3 days, 7:11:58, time: 1.356, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2114, s0.loss_cls: 0.1601, s0.acc: 94.2583, s0.loss_bbox: 0.0887, s0.loss_mask: 0.2130, s1.loss_cls: 0.0768, s1.acc: 94.4322, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0985, s2.loss_cls: 0.0385, s2.acc: 94.3132, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0462, loss: 1.1442 2022-09-13 01:23:02,583 - mmdet - INFO - Epoch [8][3200/7330] lr: 1.000e-04, eta: 3 days, 7:10:50, time: 1.363, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.1948, s0.loss_cls: 0.1626, s0.acc: 94.3203, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2083, s1.loss_cls: 0.0770, s1.acc: 94.6705, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0969, s2.loss_cls: 0.0383, s2.acc: 94.5818, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0453, loss: 1.1220 2022-09-13 01:24:10,914 - mmdet - INFO - Epoch [8][3250/7330] lr: 1.000e-04, eta: 3 days, 7:09:43, time: 1.367, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1941, s0.loss_cls: 0.1596, s0.acc: 94.2341, s0.loss_bbox: 0.0912, s0.loss_mask: 0.2065, s1.loss_cls: 0.0772, s1.acc: 94.4709, s1.loss_bbox: 0.0980, s1.loss_mask: 0.0964, s2.loss_cls: 0.0395, s2.acc: 94.2195, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0454, loss: 1.1209 2022-09-13 01:25:19,346 - mmdet - INFO - Epoch [8][3300/7330] lr: 1.000e-04, eta: 3 days, 7:08:36, time: 1.369, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1998, s0.loss_cls: 0.1579, s0.acc: 94.3408, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2035, s1.loss_cls: 0.0769, s1.acc: 94.5253, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0958, s2.loss_cls: 0.0392, s2.acc: 94.2359, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0451, loss: 1.1105 2022-09-13 01:26:26,881 - mmdet - INFO - Epoch [8][3350/7330] lr: 1.000e-04, eta: 3 days, 7:07:26, time: 1.350, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1993, s0.loss_cls: 0.1513, s0.acc: 94.6174, s0.loss_bbox: 0.0852, s0.loss_mask: 0.2094, s1.loss_cls: 0.0734, s1.acc: 94.7719, s1.loss_bbox: 0.0936, s1.loss_mask: 0.0976, s2.loss_cls: 0.0376, s2.acc: 94.5568, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0457, loss: 1.1076 2022-09-13 01:27:34,640 - mmdet - INFO - Epoch [8][3400/7330] lr: 1.000e-04, eta: 3 days, 7:06:17, time: 1.356, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2133, s0.loss_cls: 0.1603, s0.acc: 94.3389, s0.loss_bbox: 0.0900, s0.loss_mask: 0.2062, s1.loss_cls: 0.0765, s1.acc: 94.5888, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0957, s2.loss_cls: 0.0383, s2.acc: 94.5208, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0449, loss: 1.1343 2022-09-13 01:28:42,216 - mmdet - INFO - Epoch [8][3450/7330] lr: 1.000e-04, eta: 3 days, 7:05:07, time: 1.350, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1943, s0.loss_cls: 0.1538, s0.acc: 94.4756, s0.loss_bbox: 0.0886, s0.loss_mask: 0.2105, s1.loss_cls: 0.0740, s1.acc: 94.7164, s1.loss_bbox: 0.0947, s1.loss_mask: 0.0994, s2.loss_cls: 0.0377, s2.acc: 94.4873, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0468, loss: 1.1126 2022-09-13 01:29:49,568 - mmdet - INFO - Epoch [8][3500/7330] lr: 1.000e-04, eta: 3 days, 7:03:56, time: 1.349, data_time: 0.037, memory: 64759, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1948, s0.loss_cls: 0.1562, s0.acc: 94.4727, s0.loss_bbox: 0.0886, s0.loss_mask: 0.2141, s1.loss_cls: 0.0746, s1.acc: 94.6883, s1.loss_bbox: 0.0934, s1.loss_mask: 0.1006, s2.loss_cls: 0.0381, s2.acc: 94.4721, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0477, loss: 1.1183 2022-09-13 01:30:57,184 - mmdet - INFO - Epoch [8][3550/7330] lr: 1.000e-04, eta: 3 days, 7:02:46, time: 1.352, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.1963, s0.loss_cls: 0.1549, s0.acc: 94.5542, s0.loss_bbox: 0.0845, s0.loss_mask: 0.2064, s1.loss_cls: 0.0736, s1.acc: 94.8522, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0963, s2.loss_cls: 0.0375, s2.acc: 94.7061, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0453, loss: 1.0969 2022-09-13 01:32:06,463 - mmdet - INFO - Epoch [8][3600/7330] lr: 1.000e-04, eta: 3 days, 7:01:43, time: 1.386, data_time: 0.033, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.2024, s0.loss_cls: 0.1641, s0.acc: 94.2229, s0.loss_bbox: 0.0926, s0.loss_mask: 0.2142, s1.loss_cls: 0.0788, s1.acc: 94.3946, s1.loss_bbox: 0.0971, s1.loss_mask: 0.1006, s2.loss_cls: 0.0392, s2.acc: 94.2610, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0473, loss: 1.1488 2022-09-13 01:33:14,702 - mmdet - INFO - Epoch [8][3650/7330] lr: 1.000e-04, eta: 3 days, 7:00:35, time: 1.365, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1997, s0.loss_cls: 0.1663, s0.acc: 94.1179, s0.loss_bbox: 0.0946, s0.loss_mask: 0.2134, s1.loss_cls: 0.0809, s1.acc: 94.3400, s1.loss_bbox: 0.1015, s1.loss_mask: 0.0998, s2.loss_cls: 0.0411, s2.acc: 94.0501, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0466, loss: 1.1603 2022-09-13 01:34:21,892 - mmdet - INFO - Epoch [8][3700/7330] lr: 1.000e-04, eta: 3 days, 6:59:24, time: 1.344, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.2006, s0.loss_cls: 0.1552, s0.acc: 94.4236, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2116, s1.loss_cls: 0.0752, s1.acc: 94.5070, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0990, s2.loss_cls: 0.0379, s2.acc: 94.3090, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0465, loss: 1.1210 2022-09-13 01:35:30,585 - mmdet - INFO - Epoch [8][3750/7330] lr: 1.000e-04, eta: 3 days, 6:58:18, time: 1.374, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.2054, s0.loss_cls: 0.1621, s0.acc: 94.1631, s0.loss_bbox: 0.0921, s0.loss_mask: 0.2046, s1.loss_cls: 0.0786, s1.acc: 94.3493, s1.loss_bbox: 0.0985, s1.loss_mask: 0.0959, s2.loss_cls: 0.0403, s2.acc: 94.0380, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0451, loss: 1.1404 2022-09-13 01:36:39,640 - mmdet - INFO - Epoch [8][3800/7330] lr: 1.000e-04, eta: 3 days, 6:57:14, time: 1.381, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1951, s0.loss_cls: 0.1605, s0.acc: 94.2295, s0.loss_bbox: 0.0876, s0.loss_mask: 0.2092, s1.loss_cls: 0.0755, s1.acc: 94.5336, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0995, s2.loss_cls: 0.0390, s2.acc: 94.3140, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0466, loss: 1.1206 2022-09-13 01:37:47,541 - mmdet - INFO - Epoch [8][3850/7330] lr: 1.000e-04, eta: 3 days, 6:56:05, time: 1.358, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.2002, s0.loss_cls: 0.1497, s0.acc: 94.6892, s0.loss_bbox: 0.0847, s0.loss_mask: 0.2040, s1.loss_cls: 0.0718, s1.acc: 94.9308, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0957, s2.loss_cls: 0.0366, s2.acc: 94.7334, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0449, loss: 1.0840 2022-09-13 01:38:55,119 - mmdet - INFO - Epoch [8][3900/7330] lr: 1.000e-04, eta: 3 days, 6:54:55, time: 1.352, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1973, s0.loss_cls: 0.1506, s0.acc: 94.6987, s0.loss_bbox: 0.0803, s0.loss_mask: 0.2034, s1.loss_cls: 0.0727, s1.acc: 94.9459, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0947, s2.loss_cls: 0.0365, s2.acc: 94.8455, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0445, loss: 1.0775 2022-09-13 01:40:02,108 - mmdet - INFO - Epoch [8][3950/7330] lr: 1.000e-04, eta: 3 days, 6:53:43, time: 1.340, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.2053, s0.loss_cls: 0.1580, s0.acc: 94.4939, s0.loss_bbox: 0.0870, s0.loss_mask: 0.2099, s1.loss_cls: 0.0744, s1.acc: 94.8821, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0979, s2.loss_cls: 0.0376, s2.acc: 94.6268, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0457, loss: 1.1198 2022-09-13 01:41:10,399 - mmdet - INFO - Epoch [8][4000/7330] lr: 1.000e-04, eta: 3 days, 6:52:36, time: 1.366, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2054, s0.loss_cls: 0.1622, s0.acc: 94.2441, s0.loss_bbox: 0.0902, s0.loss_mask: 0.2055, s1.loss_cls: 0.0782, s1.acc: 94.4151, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0955, s2.loss_cls: 0.0394, s2.acc: 94.3113, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0444, loss: 1.1296 2022-09-13 01:42:18,266 - mmdet - INFO - Epoch [8][4050/7330] lr: 1.000e-04, eta: 3 days, 6:51:27, time: 1.357, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.2031, s0.loss_cls: 0.1578, s0.acc: 94.5364, s0.loss_bbox: 0.0874, s0.loss_mask: 0.2012, s1.loss_cls: 0.0743, s1.acc: 94.8247, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0948, s2.loss_cls: 0.0371, s2.acc: 94.7025, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0444, loss: 1.1058 2022-09-13 01:43:25,699 - mmdet - INFO - Epoch [8][4100/7330] lr: 1.000e-04, eta: 3 days, 6:50:17, time: 1.349, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.2051, s0.loss_cls: 0.1576, s0.acc: 94.3293, s0.loss_bbox: 0.0880, s0.loss_mask: 0.2048, s1.loss_cls: 0.0763, s1.acc: 94.4618, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0965, s2.loss_cls: 0.0390, s2.acc: 94.2286, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0449, loss: 1.1199 2022-09-13 01:44:33,584 - mmdet - INFO - Epoch [8][4150/7330] lr: 1.000e-04, eta: 3 days, 6:49:08, time: 1.358, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1996, s0.loss_cls: 0.1583, s0.acc: 94.4658, s0.loss_bbox: 0.0859, s0.loss_mask: 0.2073, s1.loss_cls: 0.0762, s1.acc: 94.6826, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0978, s2.loss_cls: 0.0387, s2.acc: 94.4892, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0461, loss: 1.1143 2022-09-13 01:45:41,552 - mmdet - INFO - Epoch [8][4200/7330] lr: 1.000e-04, eta: 3 days, 6:47:59, time: 1.359, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1942, s0.loss_cls: 0.1596, s0.acc: 94.3362, s0.loss_bbox: 0.0845, s0.loss_mask: 0.2092, s1.loss_cls: 0.0764, s1.acc: 94.6118, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0989, s2.loss_cls: 0.0395, s2.acc: 94.2395, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0457, loss: 1.1157 2022-09-13 01:46:49,419 - mmdet - INFO - Epoch [8][4250/7330] lr: 1.000e-04, eta: 3 days, 6:46:50, time: 1.356, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.2071, s0.loss_cls: 0.1596, s0.acc: 94.3418, s0.loss_bbox: 0.0889, s0.loss_mask: 0.2133, s1.loss_cls: 0.0763, s1.acc: 94.6113, s1.loss_bbox: 0.0965, s1.loss_mask: 0.1003, s2.loss_cls: 0.0387, s2.acc: 94.4472, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0466, loss: 1.1410 2022-09-13 01:47:57,271 - mmdet - INFO - Epoch [8][4300/7330] lr: 1.000e-04, eta: 3 days, 6:45:42, time: 1.359, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2069, s0.loss_cls: 0.1623, s0.acc: 94.2776, s0.loss_bbox: 0.0901, s0.loss_mask: 0.2091, s1.loss_cls: 0.0773, s1.acc: 94.5955, s1.loss_bbox: 0.0966, s1.loss_mask: 0.0975, s2.loss_cls: 0.0389, s2.acc: 94.4126, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0459, loss: 1.1417 2022-09-13 01:49:05,719 - mmdet - INFO - Epoch [8][4350/7330] lr: 1.000e-04, eta: 3 days, 6:44:35, time: 1.369, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.2061, s0.loss_cls: 0.1552, s0.acc: 94.5305, s0.loss_bbox: 0.0853, s0.loss_mask: 0.2091, s1.loss_cls: 0.0751, s1.acc: 94.6707, s1.loss_bbox: 0.0926, s1.loss_mask: 0.0989, s2.loss_cls: 0.0381, s2.acc: 94.5486, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0466, loss: 1.1230 2022-09-13 01:50:13,476 - mmdet - INFO - Epoch [8][4400/7330] lr: 1.000e-04, eta: 3 days, 6:43:26, time: 1.355, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.2010, s0.loss_cls: 0.1469, s0.acc: 94.7839, s0.loss_bbox: 0.0830, s0.loss_mask: 0.2034, s1.loss_cls: 0.0707, s1.acc: 94.9268, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0957, s2.loss_cls: 0.0358, s2.acc: 94.7679, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0446, loss: 1.0741 2022-09-13 01:51:21,921 - mmdet - INFO - Epoch [8][4450/7330] lr: 1.000e-04, eta: 3 days, 6:42:19, time: 1.369, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1960, s0.loss_cls: 0.1498, s0.acc: 94.6589, s0.loss_bbox: 0.0858, s0.loss_mask: 0.2083, s1.loss_cls: 0.0712, s1.acc: 94.9420, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0963, s2.loss_cls: 0.0364, s2.acc: 94.6381, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0450, loss: 1.0936 2022-09-13 01:52:29,455 - mmdet - INFO - Epoch [8][4500/7330] lr: 1.000e-04, eta: 3 days, 6:41:09, time: 1.351, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.1956, s0.loss_cls: 0.1518, s0.acc: 94.6233, s0.loss_bbox: 0.0841, s0.loss_mask: 0.2044, s1.loss_cls: 0.0725, s1.acc: 94.9000, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0961, s2.loss_cls: 0.0373, s2.acc: 94.6436, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0452, loss: 1.0893 2022-09-13 01:53:37,801 - mmdet - INFO - Epoch [8][4550/7330] lr: 1.000e-04, eta: 3 days, 6:40:02, time: 1.366, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.2027, s0.loss_cls: 0.1533, s0.acc: 94.6165, s0.loss_bbox: 0.0845, s0.loss_mask: 0.2051, s1.loss_cls: 0.0726, s1.acc: 94.8544, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0963, s2.loss_cls: 0.0364, s2.acc: 94.6709, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0457, loss: 1.0960 2022-09-13 01:54:45,851 - mmdet - INFO - Epoch [8][4600/7330] lr: 1.000e-04, eta: 3 days, 6:38:54, time: 1.362, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.2004, s0.loss_cls: 0.1529, s0.acc: 94.5310, s0.loss_bbox: 0.0878, s0.loss_mask: 0.2040, s1.loss_cls: 0.0731, s1.acc: 94.7754, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0954, s2.loss_cls: 0.0366, s2.acc: 94.5939, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0453, loss: 1.1003 2022-09-13 01:55:54,342 - mmdet - INFO - Epoch [8][4650/7330] lr: 1.000e-04, eta: 3 days, 6:37:47, time: 1.368, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1927, s0.loss_cls: 0.1579, s0.acc: 94.3667, s0.loss_bbox: 0.0898, s0.loss_mask: 0.2007, s1.loss_cls: 0.0752, s1.acc: 94.5938, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0944, s2.loss_cls: 0.0386, s2.acc: 94.3003, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0445, loss: 1.1015 2022-09-13 01:57:02,445 - mmdet - INFO - Epoch [8][4700/7330] lr: 1.000e-04, eta: 3 days, 6:36:39, time: 1.364, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2021, s0.loss_cls: 0.1611, s0.acc: 94.2461, s0.loss_bbox: 0.0917, s0.loss_mask: 0.2079, s1.loss_cls: 0.0752, s1.acc: 94.5830, s1.loss_bbox: 0.1009, s1.loss_mask: 0.0976, s2.loss_cls: 0.0384, s2.acc: 94.3550, s2.loss_bbox: 0.0626, s2.loss_mask: 0.0460, loss: 1.1424 2022-09-13 01:58:09,655 - mmdet - INFO - Epoch [8][4750/7330] lr: 1.000e-04, eta: 3 days, 6:35:28, time: 1.344, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2030, s0.loss_cls: 0.1644, s0.acc: 94.2808, s0.loss_bbox: 0.0884, s0.loss_mask: 0.2064, s1.loss_cls: 0.0784, s1.acc: 94.4854, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0965, s2.loss_cls: 0.0390, s2.acc: 94.4221, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0455, loss: 1.1307 2022-09-13 01:59:17,511 - mmdet - INFO - Epoch [8][4800/7330] lr: 1.000e-04, eta: 3 days, 6:34:19, time: 1.357, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1924, s0.loss_cls: 0.1556, s0.acc: 94.5283, s0.loss_bbox: 0.0844, s0.loss_mask: 0.2023, s1.loss_cls: 0.0734, s1.acc: 94.8629, s1.loss_bbox: 0.0912, s1.loss_mask: 0.0958, s2.loss_cls: 0.0369, s2.acc: 94.7741, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0450, loss: 1.0873 2022-09-13 02:00:28,879 - mmdet - INFO - Epoch [8][4850/7330] lr: 1.000e-04, eta: 3 days, 6:33:23, time: 1.427, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.2017, s0.loss_cls: 0.1561, s0.acc: 94.4553, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2048, s1.loss_cls: 0.0751, s1.acc: 94.6826, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0966, s2.loss_cls: 0.0380, s2.acc: 94.5483, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0459, loss: 1.1068 2022-09-13 02:01:37,102 - mmdet - INFO - Epoch [8][4900/7330] lr: 1.000e-04, eta: 3 days, 6:32:15, time: 1.363, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.2112, s0.loss_cls: 0.1549, s0.acc: 94.5281, s0.loss_bbox: 0.0839, s0.loss_mask: 0.2107, s1.loss_cls: 0.0744, s1.acc: 94.6642, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0981, s2.loss_cls: 0.0372, s2.acc: 94.5661, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0460, loss: 1.1171 2022-09-13 02:02:45,825 - mmdet - INFO - Epoch [8][4950/7330] lr: 1.000e-04, eta: 3 days, 6:31:10, time: 1.376, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1992, s0.loss_cls: 0.1501, s0.acc: 94.6057, s0.loss_bbox: 0.0872, s0.loss_mask: 0.2073, s1.loss_cls: 0.0724, s1.acc: 94.8241, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0970, s2.loss_cls: 0.0368, s2.acc: 94.5730, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0457, loss: 1.0984 2022-09-13 02:03:54,854 - mmdet - INFO - Epoch [8][5000/7330] lr: 1.000e-04, eta: 3 days, 6:30:05, time: 1.381, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1934, s0.loss_cls: 0.1461, s0.acc: 94.7695, s0.loss_bbox: 0.0840, s0.loss_mask: 0.2023, s1.loss_cls: 0.0704, s1.acc: 95.0045, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0956, s2.loss_cls: 0.0359, s2.acc: 94.8712, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0456, loss: 1.0747 2022-09-13 02:05:02,645 - mmdet - INFO - Epoch [8][5050/7330] lr: 1.000e-04, eta: 3 days, 6:28:56, time: 1.356, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1960, s0.loss_cls: 0.1491, s0.acc: 94.6504, s0.loss_bbox: 0.0833, s0.loss_mask: 0.2001, s1.loss_cls: 0.0709, s1.acc: 94.9454, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0940, s2.loss_cls: 0.0365, s2.acc: 94.7298, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0445, loss: 1.0757 2022-09-13 02:06:10,565 - mmdet - INFO - Epoch [8][5100/7330] lr: 1.000e-04, eta: 3 days, 6:27:48, time: 1.358, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2015, s0.loss_cls: 0.1597, s0.acc: 94.3721, s0.loss_bbox: 0.0905, s0.loss_mask: 0.2039, s1.loss_cls: 0.0761, s1.acc: 94.6142, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0951, s2.loss_cls: 0.0383, s2.acc: 94.4953, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0446, loss: 1.1198 2022-09-13 02:07:18,751 - mmdet - INFO - Epoch [8][5150/7330] lr: 1.000e-04, eta: 3 days, 6:26:40, time: 1.362, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.2050, s0.loss_cls: 0.1569, s0.acc: 94.4624, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1971, s1.loss_cls: 0.0747, s1.acc: 94.6076, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0931, s2.loss_cls: 0.0375, s2.acc: 94.5134, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0440, loss: 1.0910 2022-09-13 02:08:27,854 - mmdet - INFO - Epoch [8][5200/7330] lr: 1.000e-04, eta: 3 days, 6:25:36, time: 1.384, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2105, s0.loss_cls: 0.1598, s0.acc: 94.3755, s0.loss_bbox: 0.0904, s0.loss_mask: 0.2039, s1.loss_cls: 0.0776, s1.acc: 94.4720, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0952, s2.loss_cls: 0.0396, s2.acc: 94.2403, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0443, loss: 1.1291 2022-09-13 02:09:35,339 - mmdet - INFO - Epoch [8][5250/7330] lr: 1.000e-04, eta: 3 days, 6:24:26, time: 1.350, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.2066, s0.loss_cls: 0.1598, s0.acc: 94.3506, s0.loss_bbox: 0.0885, s0.loss_mask: 0.2107, s1.loss_cls: 0.0749, s1.acc: 94.6283, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0987, s2.loss_cls: 0.0386, s2.acc: 94.3991, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0465, loss: 1.1323 2022-09-13 02:10:43,177 - mmdet - INFO - Epoch [8][5300/7330] lr: 1.000e-04, eta: 3 days, 6:23:17, time: 1.357, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2106, s0.loss_cls: 0.1592, s0.acc: 94.4270, s0.loss_bbox: 0.0901, s0.loss_mask: 0.2099, s1.loss_cls: 0.0763, s1.acc: 94.6744, s1.loss_bbox: 0.0972, s1.loss_mask: 0.0985, s2.loss_cls: 0.0384, s2.acc: 94.4953, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0462, loss: 1.1407 2022-09-13 02:11:51,908 - mmdet - INFO - Epoch [8][5350/7330] lr: 1.000e-04, eta: 3 days, 6:22:11, time: 1.373, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2031, s0.loss_cls: 0.1521, s0.acc: 94.5442, s0.loss_bbox: 0.0881, s0.loss_mask: 0.2027, s1.loss_cls: 0.0733, s1.acc: 94.7390, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0947, s2.loss_cls: 0.0373, s2.acc: 94.5482, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0449, loss: 1.1007 2022-09-13 02:12:59,648 - mmdet - INFO - Epoch [8][5400/7330] lr: 1.000e-04, eta: 3 days, 6:21:02, time: 1.356, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2015, s0.loss_cls: 0.1642, s0.acc: 94.1794, s0.loss_bbox: 0.0914, s0.loss_mask: 0.2115, s1.loss_cls: 0.0788, s1.acc: 94.4131, s1.loss_bbox: 0.0964, s1.loss_mask: 0.0989, s2.loss_cls: 0.0397, s2.acc: 94.2644, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0460, loss: 1.1460 2022-09-13 02:14:07,697 - mmdet - INFO - Epoch [8][5450/7330] lr: 1.000e-04, eta: 3 days, 6:19:53, time: 1.359, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0326, loss_semantic_seg: 0.2000, s0.loss_cls: 0.1635, s0.acc: 94.1306, s0.loss_bbox: 0.0887, s0.loss_mask: 0.2044, s1.loss_cls: 0.0785, s1.acc: 94.3776, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0955, s2.loss_cls: 0.0402, s2.acc: 94.1035, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0450, loss: 1.1283 2022-09-13 02:15:15,413 - mmdet - INFO - Epoch [8][5500/7330] lr: 1.000e-04, eta: 3 days, 6:18:44, time: 1.354, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1940, s0.loss_cls: 0.1600, s0.acc: 94.3269, s0.loss_bbox: 0.0871, s0.loss_mask: 0.2056, s1.loss_cls: 0.0768, s1.acc: 94.5539, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0969, s2.loss_cls: 0.0389, s2.acc: 94.3173, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0454, loss: 1.1093 2022-09-13 02:16:22,979 - mmdet - INFO - Epoch [8][5550/7330] lr: 1.000e-04, eta: 3 days, 6:17:34, time: 1.353, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.2047, s0.loss_cls: 0.1581, s0.acc: 94.5071, s0.loss_bbox: 0.0865, s0.loss_mask: 0.2069, s1.loss_cls: 0.0758, s1.acc: 94.7089, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0976, s2.loss_cls: 0.0386, s2.acc: 94.4647, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0456, loss: 1.1175 2022-09-13 02:17:29,655 - mmdet - INFO - Epoch [8][5600/7330] lr: 1.000e-04, eta: 3 days, 6:16:21, time: 1.333, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.2049, s0.loss_cls: 0.1472, s0.acc: 94.8740, s0.loss_bbox: 0.0794, s0.loss_mask: 0.2005, s1.loss_cls: 0.0698, s1.acc: 95.1654, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0945, s2.loss_cls: 0.0356, s2.acc: 94.9534, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0442, loss: 1.0669 2022-09-13 02:18:38,228 - mmdet - INFO - Epoch [8][5650/7330] lr: 1.000e-04, eta: 3 days, 6:15:15, time: 1.372, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1996, s0.loss_cls: 0.1679, s0.acc: 94.1907, s0.loss_bbox: 0.0886, s0.loss_mask: 0.2117, s1.loss_cls: 0.0816, s1.acc: 94.3386, s1.loss_bbox: 0.0967, s1.loss_mask: 0.1000, s2.loss_cls: 0.0412, s2.acc: 94.1114, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0469, loss: 1.1478 2022-09-13 02:19:46,381 - mmdet - INFO - Epoch [8][5700/7330] lr: 1.000e-04, eta: 3 days, 6:14:07, time: 1.363, data_time: 0.031, memory: 64759, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2070, s0.loss_cls: 0.1591, s0.acc: 94.3284, s0.loss_bbox: 0.0876, s0.loss_mask: 0.2033, s1.loss_cls: 0.0765, s1.acc: 94.5565, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0956, s2.loss_cls: 0.0387, s2.acc: 94.3864, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0446, loss: 1.1239 2022-09-13 02:20:53,742 - mmdet - INFO - Epoch [8][5750/7330] lr: 1.000e-04, eta: 3 days, 6:12:56, time: 1.347, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.2012, s0.loss_cls: 0.1519, s0.acc: 94.7251, s0.loss_bbox: 0.0840, s0.loss_mask: 0.2032, s1.loss_cls: 0.0727, s1.acc: 94.9578, s1.loss_bbox: 0.0915, s1.loss_mask: 0.0954, s2.loss_cls: 0.0367, s2.acc: 94.8307, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0449, loss: 1.0935 2022-09-13 02:22:01,463 - mmdet - INFO - Epoch [8][5800/7330] lr: 1.000e-04, eta: 3 days, 6:11:47, time: 1.354, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.1957, s0.loss_cls: 0.1621, s0.acc: 94.3140, s0.loss_bbox: 0.0871, s0.loss_mask: 0.2052, s1.loss_cls: 0.0774, s1.acc: 94.6031, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0960, s2.loss_cls: 0.0395, s2.acc: 94.2887, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0452, loss: 1.1173 2022-09-13 02:23:10,244 - mmdet - INFO - Epoch [8][5850/7330] lr: 1.000e-04, eta: 3 days, 6:10:41, time: 1.374, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.1974, s0.loss_cls: 0.1635, s0.acc: 94.2119, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2060, s1.loss_cls: 0.0793, s1.acc: 94.3439, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0958, s2.loss_cls: 0.0398, s2.acc: 94.3201, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0452, loss: 1.1244 2022-09-13 02:24:18,089 - mmdet - INFO - Epoch [8][5900/7330] lr: 1.000e-04, eta: 3 days, 6:09:32, time: 1.359, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.2069, s0.loss_cls: 0.1712, s0.acc: 94.0957, s0.loss_bbox: 0.0898, s0.loss_mask: 0.2044, s1.loss_cls: 0.0815, s1.acc: 94.3554, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0955, s2.loss_cls: 0.0416, s2.acc: 94.1498, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0446, loss: 1.1477 2022-09-13 02:25:25,437 - mmdet - INFO - Epoch [8][5950/7330] lr: 1.000e-04, eta: 3 days, 6:08:22, time: 1.347, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.2078, s0.loss_cls: 0.1465, s0.acc: 94.7031, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1982, s1.loss_cls: 0.0717, s1.acc: 94.8466, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0928, s2.loss_cls: 0.0360, s2.acc: 94.6644, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0436, loss: 1.0712 2022-09-13 02:26:33,028 - mmdet - INFO - Epoch [8][6000/7330] lr: 1.000e-04, eta: 3 days, 6:07:12, time: 1.352, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1939, s0.loss_cls: 0.1657, s0.acc: 94.0603, s0.loss_bbox: 0.0939, s0.loss_mask: 0.2115, s1.loss_cls: 0.0796, s1.acc: 94.2311, s1.loss_bbox: 0.0999, s1.loss_mask: 0.0986, s2.loss_cls: 0.0403, s2.acc: 94.1002, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0461, loss: 1.1448 2022-09-13 02:27:41,097 - mmdet - INFO - Epoch [8][6050/7330] lr: 1.000e-04, eta: 3 days, 6:06:04, time: 1.361, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0316, loss_semantic_seg: 0.2013, s0.loss_cls: 0.1620, s0.acc: 94.2239, s0.loss_bbox: 0.0873, s0.loss_mask: 0.2040, s1.loss_cls: 0.0781, s1.acc: 94.4266, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0960, s2.loss_cls: 0.0403, s2.acc: 94.1232, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0447, loss: 1.1258 2022-09-13 02:28:50,390 - mmdet - INFO - Epoch [8][6100/7330] lr: 1.000e-04, eta: 3 days, 6:05:00, time: 1.386, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.2000, s0.loss_cls: 0.1565, s0.acc: 94.4731, s0.loss_bbox: 0.0854, s0.loss_mask: 0.2051, s1.loss_cls: 0.0754, s1.acc: 94.6814, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0953, s2.loss_cls: 0.0382, s2.acc: 94.4722, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0446, loss: 1.1021 2022-09-13 02:29:58,453 - mmdet - INFO - Epoch [8][6150/7330] lr: 1.000e-04, eta: 3 days, 6:03:52, time: 1.361, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.1946, s0.loss_cls: 0.1599, s0.acc: 94.3750, s0.loss_bbox: 0.0858, s0.loss_mask: 0.2051, s1.loss_cls: 0.0774, s1.acc: 94.5505, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0969, s2.loss_cls: 0.0392, s2.acc: 94.3666, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0455, loss: 1.1122 2022-09-13 02:31:06,173 - mmdet - INFO - Epoch [8][6200/7330] lr: 1.000e-04, eta: 3 days, 6:02:43, time: 1.354, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2050, s0.loss_cls: 0.1628, s0.acc: 94.2656, s0.loss_bbox: 0.0884, s0.loss_mask: 0.2008, s1.loss_cls: 0.0784, s1.acc: 94.4167, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0942, s2.loss_cls: 0.0398, s2.acc: 94.1681, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0441, loss: 1.1227 2022-09-13 02:32:13,661 - mmdet - INFO - Epoch [8][6250/7330] lr: 1.000e-04, eta: 3 days, 6:01:33, time: 1.350, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1999, s0.loss_cls: 0.1545, s0.acc: 94.5649, s0.loss_bbox: 0.0833, s0.loss_mask: 0.2016, s1.loss_cls: 0.0756, s1.acc: 94.7077, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0947, s2.loss_cls: 0.0386, s2.acc: 94.4543, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0446, loss: 1.0928 2022-09-13 02:33:22,662 - mmdet - INFO - Epoch [8][6300/7330] lr: 1.000e-04, eta: 3 days, 6:00:28, time: 1.380, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.2013, s0.loss_cls: 0.1521, s0.acc: 94.5476, s0.loss_bbox: 0.0844, s0.loss_mask: 0.2045, s1.loss_cls: 0.0736, s1.acc: 94.7487, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0967, s2.loss_cls: 0.0375, s2.acc: 94.4565, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0452, loss: 1.0993 2022-09-13 02:34:29,946 - mmdet - INFO - Epoch [8][6350/7330] lr: 1.000e-04, eta: 3 days, 5:59:17, time: 1.346, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.2020, s0.loss_cls: 0.1551, s0.acc: 94.5195, s0.loss_bbox: 0.0871, s0.loss_mask: 0.2018, s1.loss_cls: 0.0746, s1.acc: 94.7825, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0947, s2.loss_cls: 0.0383, s2.acc: 94.5876, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0442, loss: 1.1058 2022-09-13 02:35:37,778 - mmdet - INFO - Epoch [8][6400/7330] lr: 1.000e-04, eta: 3 days, 5:58:08, time: 1.357, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.2082, s0.loss_cls: 0.1612, s0.acc: 94.3225, s0.loss_bbox: 0.0900, s0.loss_mask: 0.2048, s1.loss_cls: 0.0775, s1.acc: 94.5342, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0960, s2.loss_cls: 0.0390, s2.acc: 94.3237, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0452, loss: 1.1392 2022-09-13 02:36:47,313 - mmdet - INFO - Epoch [8][6450/7330] lr: 1.000e-04, eta: 3 days, 5:57:05, time: 1.391, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1940, s0.loss_cls: 0.1532, s0.acc: 94.4395, s0.loss_bbox: 0.0842, s0.loss_mask: 0.1999, s1.loss_cls: 0.0745, s1.acc: 94.5377, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0936, s2.loss_cls: 0.0379, s2.acc: 94.2986, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0441, loss: 1.0887 2022-09-13 02:37:55,209 - mmdet - INFO - Epoch [8][6500/7330] lr: 1.000e-04, eta: 3 days, 5:55:56, time: 1.358, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.1955, s0.loss_cls: 0.1501, s0.acc: 94.5642, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2068, s1.loss_cls: 0.0737, s1.acc: 94.7014, s1.loss_bbox: 0.0915, s1.loss_mask: 0.0972, s2.loss_cls: 0.0369, s2.acc: 94.5585, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0456, loss: 1.0943 2022-09-13 02:39:04,087 - mmdet - INFO - Epoch [8][6550/7330] lr: 1.000e-04, eta: 3 days, 5:54:51, time: 1.377, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2019, s0.loss_cls: 0.1616, s0.acc: 94.2998, s0.loss_bbox: 0.0865, s0.loss_mask: 0.2077, s1.loss_cls: 0.0788, s1.acc: 94.4587, s1.loss_bbox: 0.0936, s1.loss_mask: 0.0974, s2.loss_cls: 0.0398, s2.acc: 94.2652, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0462, loss: 1.1270 2022-09-13 02:40:12,317 - mmdet - INFO - Epoch [8][6600/7330] lr: 1.000e-04, eta: 3 days, 5:53:44, time: 1.365, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.1999, s0.loss_cls: 0.1685, s0.acc: 93.9961, s0.loss_bbox: 0.0916, s0.loss_mask: 0.2118, s1.loss_cls: 0.0818, s1.acc: 94.1241, s1.loss_bbox: 0.0979, s1.loss_mask: 0.0987, s2.loss_cls: 0.0418, s2.acc: 93.9065, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0464, loss: 1.1552 2022-09-13 02:41:21,139 - mmdet - INFO - Epoch [8][6650/7330] lr: 1.000e-04, eta: 3 days, 5:52:38, time: 1.376, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.1968, s0.loss_cls: 0.1570, s0.acc: 94.4397, s0.loss_bbox: 0.0880, s0.loss_mask: 0.2061, s1.loss_cls: 0.0747, s1.acc: 94.7352, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0964, s2.loss_cls: 0.0377, s2.acc: 94.6206, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0452, loss: 1.1096 2022-09-13 02:42:30,963 - mmdet - INFO - Epoch [8][6700/7330] lr: 1.000e-04, eta: 3 days, 5:51:36, time: 1.397, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2073, s0.loss_cls: 0.1540, s0.acc: 94.5076, s0.loss_bbox: 0.0850, s0.loss_mask: 0.2011, s1.loss_cls: 0.0737, s1.acc: 94.8186, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0945, s2.loss_cls: 0.0374, s2.acc: 94.6199, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0445, loss: 1.1034 2022-09-13 02:43:38,918 - mmdet - INFO - Epoch [8][6750/7330] lr: 1.000e-04, eta: 3 days, 5:50:28, time: 1.359, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2039, s0.loss_cls: 0.1597, s0.acc: 94.3298, s0.loss_bbox: 0.0874, s0.loss_mask: 0.2040, s1.loss_cls: 0.0769, s1.acc: 94.5544, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0968, s2.loss_cls: 0.0394, s2.acc: 94.2634, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0457, loss: 1.1254 2022-09-13 02:44:48,063 - mmdet - INFO - Epoch [8][6800/7330] lr: 1.000e-04, eta: 3 days, 5:49:24, time: 1.383, data_time: 0.034, memory: 64759, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.1988, s0.loss_cls: 0.1627, s0.acc: 94.2405, s0.loss_bbox: 0.0878, s0.loss_mask: 0.2058, s1.loss_cls: 0.0781, s1.acc: 94.5245, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0959, s2.loss_cls: 0.0394, s2.acc: 94.2862, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0451, loss: 1.1254 2022-09-13 02:45:56,659 - mmdet - INFO - Epoch [8][6850/7330] lr: 1.000e-04, eta: 3 days, 5:48:17, time: 1.372, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.1987, s0.loss_cls: 0.1581, s0.acc: 94.5674, s0.loss_bbox: 0.0851, s0.loss_mask: 0.2041, s1.loss_cls: 0.0761, s1.acc: 94.7106, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0957, s2.loss_cls: 0.0390, s2.acc: 94.4380, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0450, loss: 1.1094 2022-09-13 02:47:06,557 - mmdet - INFO - Epoch [8][6900/7330] lr: 1.000e-04, eta: 3 days, 5:47:16, time: 1.398, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1988, s0.loss_cls: 0.1536, s0.acc: 94.5986, s0.loss_bbox: 0.0848, s0.loss_mask: 0.2079, s1.loss_cls: 0.0725, s1.acc: 94.9147, s1.loss_bbox: 0.0926, s1.loss_mask: 0.0971, s2.loss_cls: 0.0370, s2.acc: 94.6479, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0458, loss: 1.0996 2022-09-13 02:48:16,218 - mmdet - INFO - Epoch [8][6950/7330] lr: 1.000e-04, eta: 3 days, 5:46:13, time: 1.393, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.1988, s0.loss_cls: 0.1569, s0.acc: 94.4978, s0.loss_bbox: 0.0868, s0.loss_mask: 0.2007, s1.loss_cls: 0.0741, s1.acc: 94.7775, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0945, s2.loss_cls: 0.0377, s2.acc: 94.5674, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0442, loss: 1.1058 2022-09-13 02:49:24,819 - mmdet - INFO - Epoch [8][7000/7330] lr: 1.000e-04, eta: 3 days, 5:45:07, time: 1.372, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.2078, s0.loss_cls: 0.1541, s0.acc: 94.5703, s0.loss_bbox: 0.0836, s0.loss_mask: 0.2037, s1.loss_cls: 0.0736, s1.acc: 94.8271, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0963, s2.loss_cls: 0.0373, s2.acc: 94.6708, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0454, loss: 1.1079 2022-09-13 02:50:33,397 - mmdet - INFO - Epoch [8][7050/7330] lr: 1.000e-04, eta: 3 days, 5:44:01, time: 1.372, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1965, s0.loss_cls: 0.1582, s0.acc: 94.3975, s0.loss_bbox: 0.0865, s0.loss_mask: 0.2090, s1.loss_cls: 0.0762, s1.acc: 94.6245, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0975, s2.loss_cls: 0.0387, s2.acc: 94.4139, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0456, loss: 1.1126 2022-09-13 02:51:41,842 - mmdet - INFO - Epoch [8][7100/7330] lr: 1.000e-04, eta: 3 days, 5:42:54, time: 1.369, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.1988, s0.loss_cls: 0.1570, s0.acc: 94.3804, s0.loss_bbox: 0.0866, s0.loss_mask: 0.2062, s1.loss_cls: 0.0761, s1.acc: 94.6105, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0973, s2.loss_cls: 0.0387, s2.acc: 94.3956, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0457, loss: 1.1178 2022-09-13 02:52:51,175 - mmdet - INFO - Epoch [8][7150/7330] lr: 1.000e-04, eta: 3 days, 5:41:50, time: 1.385, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1956, s0.loss_cls: 0.1624, s0.acc: 94.2385, s0.loss_bbox: 0.0902, s0.loss_mask: 0.2139, s1.loss_cls: 0.0795, s1.acc: 94.3792, s1.loss_bbox: 0.0985, s1.loss_mask: 0.1000, s2.loss_cls: 0.0400, s2.acc: 94.0791, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0467, loss: 1.1439 2022-09-13 02:53:58,878 - mmdet - INFO - Epoch [8][7200/7330] lr: 1.000e-04, eta: 3 days, 5:40:41, time: 1.356, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.1983, s0.loss_cls: 0.1544, s0.acc: 94.4702, s0.loss_bbox: 0.0864, s0.loss_mask: 0.2096, s1.loss_cls: 0.0745, s1.acc: 94.6489, s1.loss_bbox: 0.0961, s1.loss_mask: 0.0988, s2.loss_cls: 0.0385, s2.acc: 94.3533, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0461, loss: 1.1188 2022-09-13 02:55:07,077 - mmdet - INFO - Epoch [8][7250/7330] lr: 1.000e-04, eta: 3 days, 5:39:33, time: 1.364, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2031, s0.loss_cls: 0.1566, s0.acc: 94.5320, s0.loss_bbox: 0.0861, s0.loss_mask: 0.2115, s1.loss_cls: 0.0740, s1.acc: 94.7513, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0990, s2.loss_cls: 0.0379, s2.acc: 94.5592, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0460, loss: 1.1229 2022-09-13 02:56:15,458 - mmdet - INFO - Epoch [8][7300/7330] lr: 1.000e-04, eta: 3 days, 5:38:26, time: 1.366, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.1938, s0.loss_cls: 0.1528, s0.acc: 94.5115, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2020, s1.loss_cls: 0.0736, s1.acc: 94.6971, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0948, s2.loss_cls: 0.0369, s2.acc: 94.5159, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0447, loss: 1.0902 2022-09-13 02:57:05,957 - mmdet - INFO - Saving checkpoint at 8 epochs 2022-09-13 03:00:40,092 - mmdet - INFO - Evaluating bbox... 2022-09-13 03:01:45,591 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.539 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.732 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.599 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.391 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.580 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.719 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.719 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.719 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.578 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.756 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.839 2022-09-13 03:01:45,591 - mmdet - INFO - Evaluating segm... 2022-09-13 03:03:03,612 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.474 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.712 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.517 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.292 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.513 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.642 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.628 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.628 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.628 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.471 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.664 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.762 2022-09-13 03:03:05,061 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 03:03:05,063 - mmdet - INFO - Epoch(val) [8][313] bbox_mAP: 0.5390, bbox_mAP_50: 0.7320, bbox_mAP_75: 0.5990, bbox_mAP_s: 0.3910, bbox_mAP_m: 0.5800, bbox_mAP_l: 0.6510, bbox_mAP_copypaste: 0.539 0.732 0.599 0.391 0.580 0.651, segm_mAP: 0.4740, segm_mAP_50: 0.7120, segm_mAP_75: 0.5170, segm_mAP_s: 0.2920, segm_mAP_m: 0.5130, segm_mAP_l: 0.6420, segm_mAP_copypaste: 0.474 0.712 0.517 0.292 0.513 0.642 2022-09-13 03:06:03,941 - mmdet - INFO - Epoch [9][50/7330] lr: 1.000e-04, eta: 3 days, 5:40:41, time: 3.575, data_time: 2.202, memory: 64759, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1973, s0.loss_cls: 0.1487, s0.acc: 94.5837, s0.loss_bbox: 0.0848, s0.loss_mask: 0.2013, s1.loss_cls: 0.0704, s1.acc: 94.8642, s1.loss_bbox: 0.0907, s1.loss_mask: 0.0955, s2.loss_cls: 0.0357, s2.acc: 94.6904, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0452, loss: 1.0789 2022-09-13 03:07:12,680 - mmdet - INFO - Epoch [9][100/7330] lr: 1.000e-04, eta: 3 days, 5:39:35, time: 1.375, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1906, s0.loss_cls: 0.1487, s0.acc: 94.6694, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2025, s1.loss_cls: 0.0713, s1.acc: 94.8747, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0951, s2.loss_cls: 0.0360, s2.acc: 94.6568, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0449, loss: 1.0808 2022-09-13 03:08:20,261 - mmdet - INFO - Epoch [9][150/7330] lr: 1.000e-04, eta: 3 days, 5:38:25, time: 1.353, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.1977, s0.loss_cls: 0.1587, s0.acc: 94.3811, s0.loss_bbox: 0.0906, s0.loss_mask: 0.2077, s1.loss_cls: 0.0771, s1.acc: 94.5991, s1.loss_bbox: 0.0975, s1.loss_mask: 0.0975, s2.loss_cls: 0.0391, s2.acc: 94.4475, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0455, loss: 1.1250 2022-09-13 03:09:28,797 - mmdet - INFO - Epoch [9][200/7330] lr: 1.000e-04, eta: 3 days, 5:37:18, time: 1.371, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1939, s0.loss_cls: 0.1485, s0.acc: 94.7087, s0.loss_bbox: 0.0831, s0.loss_mask: 0.2031, s1.loss_cls: 0.0694, s1.acc: 95.0105, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0959, s2.loss_cls: 0.0350, s2.acc: 94.8910, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0451, loss: 1.0722 2022-09-13 03:10:38,101 - mmdet - INFO - Epoch [9][250/7330] lr: 1.000e-04, eta: 3 days, 5:36:14, time: 1.386, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1960, s0.loss_cls: 0.1525, s0.acc: 94.5269, s0.loss_bbox: 0.0871, s0.loss_mask: 0.2069, s1.loss_cls: 0.0718, s1.acc: 94.8385, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0973, s2.loss_cls: 0.0371, s2.acc: 94.6464, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0458, loss: 1.1009 2022-09-13 03:11:45,806 - mmdet - INFO - Epoch [9][300/7330] lr: 1.000e-04, eta: 3 days, 5:35:05, time: 1.354, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1997, s0.loss_cls: 0.1588, s0.acc: 94.2715, s0.loss_bbox: 0.0894, s0.loss_mask: 0.2061, s1.loss_cls: 0.0762, s1.acc: 94.4353, s1.loss_bbox: 0.0996, s1.loss_mask: 0.0970, s2.loss_cls: 0.0386, s2.acc: 94.2678, s2.loss_bbox: 0.0627, s2.loss_mask: 0.0457, loss: 1.1254 2022-09-13 03:12:54,784 - mmdet - INFO - Epoch [9][350/7330] lr: 1.000e-04, eta: 3 days, 5:33:59, time: 1.380, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.2089, s0.loss_cls: 0.1556, s0.acc: 94.4482, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2011, s1.loss_cls: 0.0752, s1.acc: 94.6641, s1.loss_bbox: 0.0958, s1.loss_mask: 0.0947, s2.loss_cls: 0.0381, s2.acc: 94.5330, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0442, loss: 1.1143 2022-09-13 03:14:02,207 - mmdet - INFO - Epoch [9][400/7330] lr: 1.000e-04, eta: 3 days, 5:32:49, time: 1.348, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.2037, s0.loss_cls: 0.1563, s0.acc: 94.4102, s0.loss_bbox: 0.0870, s0.loss_mask: 0.2081, s1.loss_cls: 0.0750, s1.acc: 94.7066, s1.loss_bbox: 0.0955, s1.loss_mask: 0.0975, s2.loss_cls: 0.0375, s2.acc: 94.6114, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0455, loss: 1.1195 2022-09-13 03:15:10,270 - mmdet - INFO - Epoch [9][450/7330] lr: 1.000e-04, eta: 3 days, 5:31:40, time: 1.361, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.2004, s0.loss_cls: 0.1540, s0.acc: 94.4609, s0.loss_bbox: 0.0860, s0.loss_mask: 0.2026, s1.loss_cls: 0.0736, s1.acc: 94.7244, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0952, s2.loss_cls: 0.0371, s2.acc: 94.5376, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0448, loss: 1.1031 2022-09-13 03:16:17,879 - mmdet - INFO - Epoch [9][500/7330] lr: 1.000e-04, eta: 3 days, 5:30:30, time: 1.350, data_time: 0.016, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1972, s0.loss_cls: 0.1531, s0.acc: 94.3940, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2002, s1.loss_cls: 0.0744, s1.acc: 94.5837, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0942, s2.loss_cls: 0.0376, s2.acc: 94.4419, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0444, loss: 1.0913 2022-09-13 03:17:25,923 - mmdet - INFO - Epoch [9][550/7330] lr: 1.000e-04, eta: 3 days, 5:29:22, time: 1.362, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0328, loss_semantic_seg: 0.1983, s0.loss_cls: 0.1736, s0.acc: 93.8247, s0.loss_bbox: 0.0967, s0.loss_mask: 0.2127, s1.loss_cls: 0.0825, s1.acc: 94.0951, s1.loss_bbox: 0.1034, s1.loss_mask: 0.1000, s2.loss_cls: 0.0417, s2.acc: 93.8753, s2.loss_bbox: 0.0650, s2.loss_mask: 0.0468, loss: 1.1816 2022-09-13 03:18:34,883 - mmdet - INFO - Epoch [9][600/7330] lr: 1.000e-04, eta: 3 days, 5:28:16, time: 1.379, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.2006, s0.loss_cls: 0.1571, s0.acc: 94.4070, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2017, s1.loss_cls: 0.0752, s1.acc: 94.6154, s1.loss_bbox: 0.0947, s1.loss_mask: 0.0937, s2.loss_cls: 0.0383, s2.acc: 94.4424, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0441, loss: 1.1094 2022-09-13 03:19:42,707 - mmdet - INFO - Epoch [9][650/7330] lr: 1.000e-04, eta: 3 days, 5:27:07, time: 1.355, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0323, loss_semantic_seg: 0.1984, s0.loss_cls: 0.1635, s0.acc: 94.2114, s0.loss_bbox: 0.0875, s0.loss_mask: 0.2049, s1.loss_cls: 0.0780, s1.acc: 94.4851, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0968, s2.loss_cls: 0.0396, s2.acc: 94.2741, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0451, loss: 1.1234 2022-09-13 03:20:50,517 - mmdet - INFO - Epoch [9][700/7330] lr: 1.000e-04, eta: 3 days, 5:25:58, time: 1.358, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.2109, s0.loss_cls: 0.1487, s0.acc: 94.6687, s0.loss_bbox: 0.0820, s0.loss_mask: 0.2042, s1.loss_cls: 0.0725, s1.acc: 94.8132, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0957, s2.loss_cls: 0.0366, s2.acc: 94.6123, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0447, loss: 1.0891 2022-09-13 03:21:57,924 - mmdet - INFO - Epoch [9][750/7330] lr: 1.000e-04, eta: 3 days, 5:24:47, time: 1.348, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1870, s0.loss_cls: 0.1566, s0.acc: 94.4143, s0.loss_bbox: 0.0871, s0.loss_mask: 0.2039, s1.loss_cls: 0.0757, s1.acc: 94.6197, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0962, s2.loss_cls: 0.0386, s2.acc: 94.3600, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0452, loss: 1.0977 2022-09-13 03:23:05,843 - mmdet - INFO - Epoch [9][800/7330] lr: 1.000e-04, eta: 3 days, 5:23:38, time: 1.359, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.2014, s0.loss_cls: 0.1598, s0.acc: 94.2859, s0.loss_bbox: 0.0913, s0.loss_mask: 0.2026, s1.loss_cls: 0.0772, s1.acc: 94.5260, s1.loss_bbox: 0.0979, s1.loss_mask: 0.0944, s2.loss_cls: 0.0386, s2.acc: 94.4163, s2.loss_bbox: 0.0616, s2.loss_mask: 0.0442, loss: 1.1232 2022-09-13 03:24:13,285 - mmdet - INFO - Epoch [9][850/7330] lr: 1.000e-04, eta: 3 days, 5:22:28, time: 1.349, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.1882, s0.loss_cls: 0.1552, s0.acc: 94.4541, s0.loss_bbox: 0.0847, s0.loss_mask: 0.2031, s1.loss_cls: 0.0744, s1.acc: 94.7005, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0960, s2.loss_cls: 0.0377, s2.acc: 94.4777, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0452, loss: 1.0878 2022-09-13 03:25:22,148 - mmdet - INFO - Epoch [9][900/7330] lr: 1.000e-04, eta: 3 days, 5:21:22, time: 1.377, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1940, s0.loss_cls: 0.1480, s0.acc: 94.6477, s0.loss_bbox: 0.0837, s0.loss_mask: 0.2015, s1.loss_cls: 0.0713, s1.acc: 94.8583, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0942, s2.loss_cls: 0.0363, s2.acc: 94.6314, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0444, loss: 1.0725 2022-09-13 03:26:29,813 - mmdet - INFO - Epoch [9][950/7330] lr: 1.000e-04, eta: 3 days, 5:20:12, time: 1.353, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.2026, s0.loss_cls: 0.1558, s0.acc: 94.4529, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2099, s1.loss_cls: 0.0755, s1.acc: 94.6318, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0987, s2.loss_cls: 0.0382, s2.acc: 94.4561, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0464, loss: 1.1215 2022-09-13 03:27:38,754 - mmdet - INFO - Epoch [9][1000/7330] lr: 1.000e-04, eta: 3 days, 5:19:07, time: 1.379, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1968, s0.loss_cls: 0.1506, s0.acc: 94.5767, s0.loss_bbox: 0.0843, s0.loss_mask: 0.2008, s1.loss_cls: 0.0730, s1.acc: 94.7466, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0938, s2.loss_cls: 0.0371, s2.acc: 94.5428, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0441, loss: 1.0784 2022-09-13 03:28:46,126 - mmdet - INFO - Epoch [9][1050/7330] lr: 1.000e-04, eta: 3 days, 5:17:56, time: 1.347, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.2025, s0.loss_cls: 0.1612, s0.acc: 94.3379, s0.loss_bbox: 0.0876, s0.loss_mask: 0.2035, s1.loss_cls: 0.0779, s1.acc: 94.5178, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0951, s2.loss_cls: 0.0400, s2.acc: 94.2731, s2.loss_bbox: 0.0612, s2.loss_mask: 0.0447, loss: 1.1201 2022-09-13 03:29:53,922 - mmdet - INFO - Epoch [9][1100/7330] lr: 1.000e-04, eta: 3 days, 5:16:47, time: 1.356, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1969, s0.loss_cls: 0.1485, s0.acc: 94.7334, s0.loss_bbox: 0.0841, s0.loss_mask: 0.2018, s1.loss_cls: 0.0714, s1.acc: 94.9251, s1.loss_bbox: 0.0915, s1.loss_mask: 0.0946, s2.loss_cls: 0.0367, s2.acc: 94.7194, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0448, loss: 1.0808 2022-09-13 03:31:03,349 - mmdet - INFO - Epoch [9][1150/7330] lr: 1.000e-04, eta: 3 days, 5:15:43, time: 1.388, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.2015, s0.loss_cls: 0.1476, s0.acc: 94.6533, s0.loss_bbox: 0.0811, s0.loss_mask: 0.2029, s1.loss_cls: 0.0701, s1.acc: 94.9067, s1.loss_bbox: 0.0880, s1.loss_mask: 0.0945, s2.loss_cls: 0.0357, s2.acc: 94.7104, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0442, loss: 1.0758 2022-09-13 03:32:12,095 - mmdet - INFO - Epoch [9][1200/7330] lr: 1.000e-04, eta: 3 days, 5:14:37, time: 1.375, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.2012, s0.loss_cls: 0.1486, s0.acc: 94.7078, s0.loss_bbox: 0.0844, s0.loss_mask: 0.2001, s1.loss_cls: 0.0711, s1.acc: 94.8638, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0941, s2.loss_cls: 0.0366, s2.acc: 94.5639, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0444, loss: 1.0853 2022-09-13 03:33:19,897 - mmdet - INFO - Epoch [9][1250/7330] lr: 1.000e-04, eta: 3 days, 5:13:28, time: 1.356, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0333, loss_semantic_seg: 0.1886, s0.loss_cls: 0.1556, s0.acc: 94.3899, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2046, s1.loss_cls: 0.0739, s1.acc: 94.7170, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0955, s2.loss_cls: 0.0372, s2.acc: 94.5321, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0450, loss: 1.1008 2022-09-13 03:34:28,028 - mmdet - INFO - Epoch [9][1300/7330] lr: 1.000e-04, eta: 3 days, 5:12:19, time: 1.363, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.1900, s0.loss_cls: 0.1552, s0.acc: 94.4563, s0.loss_bbox: 0.0860, s0.loss_mask: 0.2053, s1.loss_cls: 0.0732, s1.acc: 94.7543, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0964, s2.loss_cls: 0.0370, s2.acc: 94.5329, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0453, loss: 1.0994 2022-09-13 03:35:36,453 - mmdet - INFO - Epoch [9][1350/7330] lr: 1.000e-04, eta: 3 days, 5:11:12, time: 1.368, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1901, s0.loss_cls: 0.1487, s0.acc: 94.6238, s0.loss_bbox: 0.0854, s0.loss_mask: 0.2059, s1.loss_cls: 0.0710, s1.acc: 94.8699, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0977, s2.loss_cls: 0.0361, s2.acc: 94.7286, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0460, loss: 1.0861 2022-09-13 03:36:44,404 - mmdet - INFO - Epoch [9][1400/7330] lr: 1.000e-04, eta: 3 days, 5:10:03, time: 1.359, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1890, s0.loss_cls: 0.1523, s0.acc: 94.5276, s0.loss_bbox: 0.0866, s0.loss_mask: 0.2056, s1.loss_cls: 0.0730, s1.acc: 94.7830, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0965, s2.loss_cls: 0.0373, s2.acc: 94.5232, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0453, loss: 1.0886 2022-09-13 03:37:53,417 - mmdet - INFO - Epoch [9][1450/7330] lr: 1.000e-04, eta: 3 days, 5:08:58, time: 1.380, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.1947, s0.loss_cls: 0.1571, s0.acc: 94.3816, s0.loss_bbox: 0.0857, s0.loss_mask: 0.2021, s1.loss_cls: 0.0741, s1.acc: 94.6297, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0945, s2.loss_cls: 0.0379, s2.acc: 94.4299, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0443, loss: 1.0948 2022-09-13 03:39:01,626 - mmdet - INFO - Epoch [9][1500/7330] lr: 1.000e-04, eta: 3 days, 5:07:50, time: 1.364, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.1918, s0.loss_cls: 0.1541, s0.acc: 94.5649, s0.loss_bbox: 0.0844, s0.loss_mask: 0.2037, s1.loss_cls: 0.0727, s1.acc: 94.9147, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0959, s2.loss_cls: 0.0376, s2.acc: 94.5316, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0453, loss: 1.0928 2022-09-13 03:40:09,391 - mmdet - INFO - Epoch [9][1550/7330] lr: 1.000e-04, eta: 3 days, 5:06:41, time: 1.355, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.1925, s0.loss_cls: 0.1560, s0.acc: 94.4087, s0.loss_bbox: 0.0886, s0.loss_mask: 0.2046, s1.loss_cls: 0.0744, s1.acc: 94.6098, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0951, s2.loss_cls: 0.0373, s2.acc: 94.4958, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0447, loss: 1.1047 2022-09-13 03:41:17,204 - mmdet - INFO - Epoch [9][1600/7330] lr: 1.000e-04, eta: 3 days, 5:05:31, time: 1.354, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.2011, s0.loss_cls: 0.1485, s0.acc: 94.7732, s0.loss_bbox: 0.0839, s0.loss_mask: 0.2048, s1.loss_cls: 0.0706, s1.acc: 95.0324, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0959, s2.loss_cls: 0.0364, s2.acc: 94.7899, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0453, loss: 1.0895 2022-09-13 03:42:25,485 - mmdet - INFO - Epoch [9][1650/7330] lr: 1.000e-04, eta: 3 days, 5:04:24, time: 1.367, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.2051, s0.loss_cls: 0.1577, s0.acc: 94.3740, s0.loss_bbox: 0.0883, s0.loss_mask: 0.2117, s1.loss_cls: 0.0763, s1.acc: 94.5798, s1.loss_bbox: 0.0974, s1.loss_mask: 0.1000, s2.loss_cls: 0.0385, s2.acc: 94.4564, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0467, loss: 1.1338 2022-09-13 03:43:33,035 - mmdet - INFO - Epoch [9][1700/7330] lr: 1.000e-04, eta: 3 days, 5:03:14, time: 1.351, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1984, s0.loss_cls: 0.1533, s0.acc: 94.4834, s0.loss_bbox: 0.0848, s0.loss_mask: 0.2031, s1.loss_cls: 0.0746, s1.acc: 94.7086, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0951, s2.loss_cls: 0.0373, s2.acc: 94.6087, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0449, loss: 1.0963 2022-09-13 03:44:41,229 - mmdet - INFO - Epoch [9][1750/7330] lr: 1.000e-04, eta: 3 days, 5:02:06, time: 1.362, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1939, s0.loss_cls: 0.1498, s0.acc: 94.6460, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2059, s1.loss_cls: 0.0739, s1.acc: 94.7539, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0967, s2.loss_cls: 0.0375, s2.acc: 94.5249, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0454, loss: 1.0926 2022-09-13 03:45:49,275 - mmdet - INFO - Epoch [9][1800/7330] lr: 1.000e-04, eta: 3 days, 5:00:57, time: 1.363, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1967, s0.loss_cls: 0.1486, s0.acc: 94.6990, s0.loss_bbox: 0.0872, s0.loss_mask: 0.2053, s1.loss_cls: 0.0716, s1.acc: 94.8888, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0961, s2.loss_cls: 0.0361, s2.acc: 94.7147, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0453, loss: 1.0924 2022-09-13 03:46:57,261 - mmdet - INFO - Epoch [9][1850/7330] lr: 1.000e-04, eta: 3 days, 4:59:49, time: 1.360, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2053, s0.loss_cls: 0.1497, s0.acc: 94.6069, s0.loss_bbox: 0.0851, s0.loss_mask: 0.2013, s1.loss_cls: 0.0717, s1.acc: 94.7795, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0947, s2.loss_cls: 0.0367, s2.acc: 94.5998, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0446, loss: 1.0926 2022-09-13 03:48:06,338 - mmdet - INFO - Epoch [9][1900/7330] lr: 1.000e-04, eta: 3 days, 4:58:44, time: 1.381, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1915, s0.loss_cls: 0.1573, s0.acc: 94.4290, s0.loss_bbox: 0.0872, s0.loss_mask: 0.1973, s1.loss_cls: 0.0752, s1.acc: 94.6670, s1.loss_bbox: 0.0929, s1.loss_mask: 0.0922, s2.loss_cls: 0.0379, s2.acc: 94.5414, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0433, loss: 1.0869 2022-09-13 03:49:14,594 - mmdet - INFO - Epoch [9][1950/7330] lr: 1.000e-04, eta: 3 days, 4:57:36, time: 1.365, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1862, s0.loss_cls: 0.1556, s0.acc: 94.4319, s0.loss_bbox: 0.0888, s0.loss_mask: 0.2027, s1.loss_cls: 0.0742, s1.acc: 94.6805, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0964, s2.loss_cls: 0.0377, s2.acc: 94.4778, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0450, loss: 1.0935 2022-09-13 03:50:23,446 - mmdet - INFO - Epoch [9][2000/7330] lr: 1.000e-04, eta: 3 days, 4:56:30, time: 1.377, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1944, s0.loss_cls: 0.1458, s0.acc: 94.7507, s0.loss_bbox: 0.0809, s0.loss_mask: 0.2042, s1.loss_cls: 0.0696, s1.acc: 94.9575, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0959, s2.loss_cls: 0.0356, s2.acc: 94.8266, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0447, loss: 1.0704 2022-09-13 03:51:31,610 - mmdet - INFO - Epoch [9][2050/7330] lr: 1.000e-04, eta: 3 days, 4:55:22, time: 1.363, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0320, loss_semantic_seg: 0.1875, s0.loss_cls: 0.1613, s0.acc: 94.2483, s0.loss_bbox: 0.0915, s0.loss_mask: 0.2039, s1.loss_cls: 0.0772, s1.acc: 94.4727, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0953, s2.loss_cls: 0.0389, s2.acc: 94.3083, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0446, loss: 1.1136 2022-09-13 03:52:38,964 - mmdet - INFO - Epoch [9][2100/7330] lr: 1.000e-04, eta: 3 days, 4:54:11, time: 1.347, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1937, s0.loss_cls: 0.1597, s0.acc: 94.2937, s0.loss_bbox: 0.0878, s0.loss_mask: 0.2030, s1.loss_cls: 0.0767, s1.acc: 94.4838, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0954, s2.loss_cls: 0.0395, s2.acc: 94.1758, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0449, loss: 1.1107 2022-09-13 03:53:46,970 - mmdet - INFO - Epoch [9][2150/7330] lr: 1.000e-04, eta: 3 days, 4:53:02, time: 1.359, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.1912, s0.loss_cls: 0.1536, s0.acc: 94.4976, s0.loss_bbox: 0.0848, s0.loss_mask: 0.2010, s1.loss_cls: 0.0742, s1.acc: 94.6839, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0950, s2.loss_cls: 0.0381, s2.acc: 94.4659, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0452, loss: 1.0883 2022-09-13 03:54:55,114 - mmdet - INFO - Epoch [9][2200/7330] lr: 1.000e-04, eta: 3 days, 4:51:55, time: 1.364, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.2039, s0.loss_cls: 0.1575, s0.acc: 94.4412, s0.loss_bbox: 0.0860, s0.loss_mask: 0.2077, s1.loss_cls: 0.0757, s1.acc: 94.6598, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0967, s2.loss_cls: 0.0381, s2.acc: 94.5336, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0454, loss: 1.1188 2022-09-13 03:56:01,786 - mmdet - INFO - Epoch [9][2250/7330] lr: 1.000e-04, eta: 3 days, 4:50:42, time: 1.334, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1976, s0.loss_cls: 0.1392, s0.acc: 95.0989, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1996, s1.loss_cls: 0.0686, s1.acc: 95.1592, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0940, s2.loss_cls: 0.0351, s2.acc: 94.9831, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0442, loss: 1.0416 2022-09-13 03:57:09,768 - mmdet - INFO - Epoch [9][2300/7330] lr: 1.000e-04, eta: 3 days, 4:49:33, time: 1.360, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.2012, s0.loss_cls: 0.1514, s0.acc: 94.6721, s0.loss_bbox: 0.0839, s0.loss_mask: 0.2025, s1.loss_cls: 0.0720, s1.acc: 94.8891, s1.loss_bbox: 0.0907, s1.loss_mask: 0.0945, s2.loss_cls: 0.0363, s2.acc: 94.6802, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0440, loss: 1.0891 2022-09-13 03:58:17,048 - mmdet - INFO - Epoch [9][2350/7330] lr: 1.000e-04, eta: 3 days, 4:48:22, time: 1.346, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1942, s0.loss_cls: 0.1419, s0.acc: 94.8677, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1966, s1.loss_cls: 0.0669, s1.acc: 95.0758, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0920, s2.loss_cls: 0.0339, s2.acc: 94.9826, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0435, loss: 1.0360 2022-09-13 03:59:24,488 - mmdet - INFO - Epoch [9][2400/7330] lr: 1.000e-04, eta: 3 days, 4:47:11, time: 1.349, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1945, s0.loss_cls: 0.1572, s0.acc: 94.4907, s0.loss_bbox: 0.0861, s0.loss_mask: 0.2029, s1.loss_cls: 0.0751, s1.acc: 94.6537, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0956, s2.loss_cls: 0.0385, s2.acc: 94.3902, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0450, loss: 1.1028 2022-09-13 04:00:32,848 - mmdet - INFO - Epoch [9][2450/7330] lr: 1.000e-04, eta: 3 days, 4:46:04, time: 1.367, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1975, s0.loss_cls: 0.1558, s0.acc: 94.4114, s0.loss_bbox: 0.0874, s0.loss_mask: 0.2044, s1.loss_cls: 0.0746, s1.acc: 94.6891, s1.loss_bbox: 0.0975, s1.loss_mask: 0.0967, s2.loss_cls: 0.0386, s2.acc: 94.4853, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0456, loss: 1.1131 2022-09-13 04:01:40,536 - mmdet - INFO - Epoch [9][2500/7330] lr: 1.000e-04, eta: 3 days, 4:44:54, time: 1.354, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.1914, s0.loss_cls: 0.1540, s0.acc: 94.5342, s0.loss_bbox: 0.0851, s0.loss_mask: 0.2006, s1.loss_cls: 0.0724, s1.acc: 94.7755, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0944, s2.loss_cls: 0.0370, s2.acc: 94.6314, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0448, loss: 1.0851 2022-09-13 04:02:47,834 - mmdet - INFO - Epoch [9][2550/7330] lr: 1.000e-04, eta: 3 days, 4:43:43, time: 1.346, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1991, s0.loss_cls: 0.1568, s0.acc: 94.5752, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2032, s1.loss_cls: 0.0742, s1.acc: 94.8456, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0960, s2.loss_cls: 0.0379, s2.acc: 94.6503, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0454, loss: 1.0976 2022-09-13 04:03:55,897 - mmdet - INFO - Epoch [9][2600/7330] lr: 1.000e-04, eta: 3 days, 4:42:35, time: 1.361, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1941, s0.loss_cls: 0.1553, s0.acc: 94.4858, s0.loss_bbox: 0.0855, s0.loss_mask: 0.2006, s1.loss_cls: 0.0745, s1.acc: 94.7502, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0944, s2.loss_cls: 0.0385, s2.acc: 94.4487, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0448, loss: 1.0956 2022-09-13 04:05:05,142 - mmdet - INFO - Epoch [9][2650/7330] lr: 1.000e-04, eta: 3 days, 4:41:31, time: 1.385, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.1976, s0.loss_cls: 0.1568, s0.acc: 94.4077, s0.loss_bbox: 0.0865, s0.loss_mask: 0.2056, s1.loss_cls: 0.0741, s1.acc: 94.7642, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0962, s2.loss_cls: 0.0375, s2.acc: 94.4839, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0453, loss: 1.1116 2022-09-13 04:06:14,021 - mmdet - INFO - Epoch [9][2700/7330] lr: 1.000e-04, eta: 3 days, 4:40:25, time: 1.378, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.2028, s0.loss_cls: 0.1668, s0.acc: 94.1763, s0.loss_bbox: 0.0904, s0.loss_mask: 0.2062, s1.loss_cls: 0.0795, s1.acc: 94.4727, s1.loss_bbox: 0.0987, s1.loss_mask: 0.0967, s2.loss_cls: 0.0402, s2.acc: 94.2930, s2.loss_bbox: 0.0624, s2.loss_mask: 0.0453, loss: 1.1447 2022-09-13 04:07:21,722 - mmdet - INFO - Epoch [9][2750/7330] lr: 1.000e-04, eta: 3 days, 4:39:15, time: 1.354, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.2018, s0.loss_cls: 0.1514, s0.acc: 94.6672, s0.loss_bbox: 0.0850, s0.loss_mask: 0.2045, s1.loss_cls: 0.0735, s1.acc: 94.8053, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0961, s2.loss_cls: 0.0373, s2.acc: 94.5711, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0454, loss: 1.0975 2022-09-13 04:08:30,193 - mmdet - INFO - Epoch [9][2800/7330] lr: 1.000e-04, eta: 3 days, 4:38:08, time: 1.369, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1879, s0.loss_cls: 0.1554, s0.acc: 94.2991, s0.loss_bbox: 0.0868, s0.loss_mask: 0.2036, s1.loss_cls: 0.0744, s1.acc: 94.5831, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0952, s2.loss_cls: 0.0373, s2.acc: 94.3924, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0447, loss: 1.0905 2022-09-13 04:09:38,690 - mmdet - INFO - Epoch [9][2850/7330] lr: 1.000e-04, eta: 3 days, 4:37:01, time: 1.370, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1948, s0.loss_cls: 0.1509, s0.acc: 94.5920, s0.loss_bbox: 0.0862, s0.loss_mask: 0.2029, s1.loss_cls: 0.0722, s1.acc: 94.7792, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0944, s2.loss_cls: 0.0366, s2.acc: 94.5638, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0444, loss: 1.0875 2022-09-13 04:10:46,879 - mmdet - INFO - Epoch [9][2900/7330] lr: 1.000e-04, eta: 3 days, 4:35:53, time: 1.363, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1997, s0.loss_cls: 0.1576, s0.acc: 94.2778, s0.loss_bbox: 0.0881, s0.loss_mask: 0.2079, s1.loss_cls: 0.0751, s1.acc: 94.5177, s1.loss_bbox: 0.0970, s1.loss_mask: 0.0983, s2.loss_cls: 0.0382, s2.acc: 94.3408, s2.loss_bbox: 0.0613, s2.loss_mask: 0.0459, loss: 1.1220 2022-09-13 04:11:55,724 - mmdet - INFO - Epoch [9][2950/7330] lr: 1.000e-04, eta: 3 days, 4:34:47, time: 1.375, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.2041, s0.loss_cls: 0.1557, s0.acc: 94.4041, s0.loss_bbox: 0.0847, s0.loss_mask: 0.2031, s1.loss_cls: 0.0746, s1.acc: 94.5628, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0955, s2.loss_cls: 0.0380, s2.acc: 94.3494, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0450, loss: 1.1017 2022-09-13 04:13:04,347 - mmdet - INFO - Epoch [9][3000/7330] lr: 1.000e-04, eta: 3 days, 4:33:41, time: 1.374, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1855, s0.loss_cls: 0.1528, s0.acc: 94.5059, s0.loss_bbox: 0.0873, s0.loss_mask: 0.2043, s1.loss_cls: 0.0720, s1.acc: 94.7281, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0961, s2.loss_cls: 0.0361, s2.acc: 94.6169, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0451, loss: 1.0853 2022-09-13 04:14:13,097 - mmdet - INFO - Epoch [9][3050/7330] lr: 1.000e-04, eta: 3 days, 4:32:34, time: 1.373, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1897, s0.loss_cls: 0.1599, s0.acc: 94.3223, s0.loss_bbox: 0.0859, s0.loss_mask: 0.1999, s1.loss_cls: 0.0771, s1.acc: 94.5609, s1.loss_bbox: 0.0920, s1.loss_mask: 0.0931, s2.loss_cls: 0.0391, s2.acc: 94.3221, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0433, loss: 1.0910 2022-09-13 04:15:22,239 - mmdet - INFO - Epoch [9][3100/7330] lr: 1.000e-04, eta: 3 days, 4:31:30, time: 1.384, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2045, s0.loss_cls: 0.1516, s0.acc: 94.5403, s0.loss_bbox: 0.0851, s0.loss_mask: 0.2094, s1.loss_cls: 0.0729, s1.acc: 94.7702, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0973, s2.loss_cls: 0.0374, s2.acc: 94.5498, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0457, loss: 1.1113 2022-09-13 04:16:30,601 - mmdet - INFO - Epoch [9][3150/7330] lr: 1.000e-04, eta: 3 days, 4:30:22, time: 1.367, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.2035, s0.loss_cls: 0.1514, s0.acc: 94.6631, s0.loss_bbox: 0.0850, s0.loss_mask: 0.2077, s1.loss_cls: 0.0729, s1.acc: 94.7843, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0979, s2.loss_cls: 0.0365, s2.acc: 94.5857, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0455, loss: 1.1004 2022-09-13 04:17:38,175 - mmdet - INFO - Epoch [9][3200/7330] lr: 1.000e-04, eta: 3 days, 4:29:12, time: 1.351, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1953, s0.loss_cls: 0.1497, s0.acc: 94.6658, s0.loss_bbox: 0.0835, s0.loss_mask: 0.2033, s1.loss_cls: 0.0718, s1.acc: 94.9226, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0957, s2.loss_cls: 0.0361, s2.acc: 94.7831, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0450, loss: 1.0760 2022-09-13 04:18:46,266 - mmdet - INFO - Epoch [9][3250/7330] lr: 1.000e-04, eta: 3 days, 4:28:04, time: 1.362, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1906, s0.loss_cls: 0.1572, s0.acc: 94.3120, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2056, s1.loss_cls: 0.0757, s1.acc: 94.5117, s1.loss_bbox: 0.0967, s1.loss_mask: 0.0971, s2.loss_cls: 0.0384, s2.acc: 94.4429, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0455, loss: 1.1112 2022-09-13 04:19:53,203 - mmdet - INFO - Epoch [9][3300/7330] lr: 1.000e-04, eta: 3 days, 4:26:52, time: 1.339, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1991, s0.loss_cls: 0.1464, s0.acc: 94.7410, s0.loss_bbox: 0.0834, s0.loss_mask: 0.2079, s1.loss_cls: 0.0703, s1.acc: 95.0391, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0972, s2.loss_cls: 0.0358, s2.acc: 94.8089, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0453, loss: 1.0851 2022-09-13 04:21:00,917 - mmdet - INFO - Epoch [9][3350/7330] lr: 1.000e-04, eta: 3 days, 4:25:42, time: 1.354, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1912, s0.loss_cls: 0.1487, s0.acc: 94.6204, s0.loss_bbox: 0.0823, s0.loss_mask: 0.2007, s1.loss_cls: 0.0710, s1.acc: 94.8979, s1.loss_bbox: 0.0907, s1.loss_mask: 0.0946, s2.loss_cls: 0.0365, s2.acc: 94.7681, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0448, loss: 1.0705 2022-09-13 04:22:08,928 - mmdet - INFO - Epoch [9][3400/7330] lr: 1.000e-04, eta: 3 days, 4:24:34, time: 1.360, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1948, s0.loss_cls: 0.1560, s0.acc: 94.4209, s0.loss_bbox: 0.0848, s0.loss_mask: 0.2064, s1.loss_cls: 0.0757, s1.acc: 94.5396, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0971, s2.loss_cls: 0.0380, s2.acc: 94.3974, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0461, loss: 1.1008 2022-09-13 04:23:16,466 - mmdet - INFO - Epoch [9][3450/7330] lr: 1.000e-04, eta: 3 days, 4:23:24, time: 1.351, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.2007, s0.loss_cls: 0.1571, s0.acc: 94.4612, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2066, s1.loss_cls: 0.0752, s1.acc: 94.6950, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0968, s2.loss_cls: 0.0378, s2.acc: 94.5283, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0456, loss: 1.1127 2022-09-13 04:24:24,458 - mmdet - INFO - Epoch [9][3500/7330] lr: 1.000e-04, eta: 3 days, 4:22:15, time: 1.360, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1964, s0.loss_cls: 0.1523, s0.acc: 94.6479, s0.loss_bbox: 0.0830, s0.loss_mask: 0.2041, s1.loss_cls: 0.0734, s1.acc: 94.8798, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0961, s2.loss_cls: 0.0368, s2.acc: 94.6351, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0452, loss: 1.0869 2022-09-13 04:25:32,249 - mmdet - INFO - Epoch [9][3550/7330] lr: 1.000e-04, eta: 3 days, 4:21:06, time: 1.356, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.2011, s0.loss_cls: 0.1558, s0.acc: 94.4988, s0.loss_bbox: 0.0830, s0.loss_mask: 0.1999, s1.loss_cls: 0.0748, s1.acc: 94.7594, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0933, s2.loss_cls: 0.0376, s2.acc: 94.5379, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0435, loss: 1.0873 2022-09-13 04:26:39,691 - mmdet - INFO - Epoch [9][3600/7330] lr: 1.000e-04, eta: 3 days, 4:19:55, time: 1.349, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1949, s0.loss_cls: 0.1500, s0.acc: 94.5081, s0.loss_bbox: 0.0845, s0.loss_mask: 0.2012, s1.loss_cls: 0.0721, s1.acc: 94.6393, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0945, s2.loss_cls: 0.0365, s2.acc: 94.5334, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0443, loss: 1.0777 2022-09-13 04:27:47,919 - mmdet - INFO - Epoch [9][3650/7330] lr: 1.000e-04, eta: 3 days, 4:18:48, time: 1.365, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1596, s0.acc: 94.3064, s0.loss_bbox: 0.0875, s0.loss_mask: 0.2040, s1.loss_cls: 0.0773, s1.acc: 94.3916, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0958, s2.loss_cls: 0.0390, s2.acc: 94.2516, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0449, loss: 1.1035 2022-09-13 04:28:56,379 - mmdet - INFO - Epoch [9][3700/7330] lr: 1.000e-04, eta: 3 days, 4:17:40, time: 1.369, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1532, s0.acc: 94.5227, s0.loss_bbox: 0.0881, s0.loss_mask: 0.2041, s1.loss_cls: 0.0733, s1.acc: 94.8547, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0960, s2.loss_cls: 0.0376, s2.acc: 94.5520, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0450, loss: 1.0924 2022-09-13 04:30:04,962 - mmdet - INFO - Epoch [9][3750/7330] lr: 1.000e-04, eta: 3 days, 4:16:34, time: 1.372, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.1830, s0.loss_cls: 0.1497, s0.acc: 94.6870, s0.loss_bbox: 0.0857, s0.loss_mask: 0.2041, s1.loss_cls: 0.0701, s1.acc: 94.9903, s1.loss_bbox: 0.0915, s1.loss_mask: 0.0963, s2.loss_cls: 0.0357, s2.acc: 94.8193, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0455, loss: 1.0748 2022-09-13 04:31:13,603 - mmdet - INFO - Epoch [9][3800/7330] lr: 1.000e-04, eta: 3 days, 4:15:27, time: 1.373, data_time: 0.033, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.2046, s0.loss_cls: 0.1535, s0.acc: 94.5559, s0.loss_bbox: 0.0830, s0.loss_mask: 0.2004, s1.loss_cls: 0.0738, s1.acc: 94.6989, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0949, s2.loss_cls: 0.0377, s2.acc: 94.5045, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0448, loss: 1.0905 2022-09-13 04:32:22,929 - mmdet - INFO - Epoch [9][3850/7330] lr: 1.000e-04, eta: 3 days, 4:14:23, time: 1.386, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1900, s0.loss_cls: 0.1501, s0.acc: 94.5701, s0.loss_bbox: 0.0840, s0.loss_mask: 0.2042, s1.loss_cls: 0.0725, s1.acc: 94.7445, s1.loss_bbox: 0.0907, s1.loss_mask: 0.0960, s2.loss_cls: 0.0372, s2.acc: 94.5792, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0453, loss: 1.0812 2022-09-13 04:33:31,888 - mmdet - INFO - Epoch [9][3900/7330] lr: 1.000e-04, eta: 3 days, 4:13:17, time: 1.379, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1984, s0.loss_cls: 0.1520, s0.acc: 94.5667, s0.loss_bbox: 0.0835, s0.loss_mask: 0.2009, s1.loss_cls: 0.0728, s1.acc: 94.8185, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0950, s2.loss_cls: 0.0371, s2.acc: 94.6739, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0447, loss: 1.0876 2022-09-13 04:34:38,653 - mmdet - INFO - Epoch [9][3950/7330] lr: 1.000e-04, eta: 3 days, 4:12:05, time: 1.335, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1964, s0.loss_cls: 0.1403, s0.acc: 94.9832, s0.loss_bbox: 0.0781, s0.loss_mask: 0.2023, s1.loss_cls: 0.0669, s1.acc: 95.2470, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0956, s2.loss_cls: 0.0342, s2.acc: 95.0408, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0449, loss: 1.0516 2022-09-13 04:35:46,408 - mmdet - INFO - Epoch [9][4000/7330] lr: 1.000e-04, eta: 3 days, 4:10:55, time: 1.355, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.2015, s0.loss_cls: 0.1501, s0.acc: 94.5752, s0.loss_bbox: 0.0849, s0.loss_mask: 0.2048, s1.loss_cls: 0.0717, s1.acc: 94.8570, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0967, s2.loss_cls: 0.0367, s2.acc: 94.5192, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0454, loss: 1.0953 2022-09-13 04:36:54,783 - mmdet - INFO - Epoch [9][4050/7330] lr: 1.000e-04, eta: 3 days, 4:09:48, time: 1.366, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.2009, s0.loss_cls: 0.1457, s0.acc: 94.8662, s0.loss_bbox: 0.0808, s0.loss_mask: 0.1977, s1.loss_cls: 0.0702, s1.acc: 95.1370, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0932, s2.loss_cls: 0.0357, s2.acc: 94.9353, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0442, loss: 1.0576 2022-09-13 04:38:02,062 - mmdet - INFO - Epoch [9][4100/7330] lr: 1.000e-04, eta: 3 days, 4:08:37, time: 1.347, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1991, s0.loss_cls: 0.1506, s0.acc: 94.6584, s0.loss_bbox: 0.0836, s0.loss_mask: 0.2001, s1.loss_cls: 0.0713, s1.acc: 94.8779, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0932, s2.loss_cls: 0.0366, s2.acc: 94.7054, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0438, loss: 1.0781 2022-09-13 04:39:09,820 - mmdet - INFO - Epoch [9][4150/7330] lr: 1.000e-04, eta: 3 days, 4:07:28, time: 1.355, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.2002, s0.loss_cls: 0.1491, s0.acc: 94.7292, s0.loss_bbox: 0.0825, s0.loss_mask: 0.1954, s1.loss_cls: 0.0707, s1.acc: 95.0464, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0914, s2.loss_cls: 0.0360, s2.acc: 94.8462, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0427, loss: 1.0675 2022-09-13 04:40:18,069 - mmdet - INFO - Epoch [9][4200/7330] lr: 1.000e-04, eta: 3 days, 4:06:20, time: 1.365, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2024, s0.loss_cls: 0.1503, s0.acc: 94.6211, s0.loss_bbox: 0.0853, s0.loss_mask: 0.2063, s1.loss_cls: 0.0714, s1.acc: 94.8786, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0971, s2.loss_cls: 0.0361, s2.acc: 94.6889, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0454, loss: 1.1006 2022-09-13 04:41:25,097 - mmdet - INFO - Epoch [9][4250/7330] lr: 1.000e-04, eta: 3 days, 4:05:08, time: 1.341, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.2089, s0.loss_cls: 0.1523, s0.acc: 94.5315, s0.loss_bbox: 0.0861, s0.loss_mask: 0.2053, s1.loss_cls: 0.0732, s1.acc: 94.7497, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0969, s2.loss_cls: 0.0375, s2.acc: 94.4757, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0450, loss: 1.1092 2022-09-13 04:42:32,829 - mmdet - INFO - Epoch [9][4300/7330] lr: 1.000e-04, eta: 3 days, 4:03:59, time: 1.355, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.2040, s0.loss_cls: 0.1569, s0.acc: 94.4385, s0.loss_bbox: 0.0842, s0.loss_mask: 0.2036, s1.loss_cls: 0.0748, s1.acc: 94.6528, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0953, s2.loss_cls: 0.0374, s2.acc: 94.5606, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0447, loss: 1.1028 2022-09-13 04:43:41,141 - mmdet - INFO - Epoch [9][4350/7330] lr: 1.000e-04, eta: 3 days, 4:02:51, time: 1.366, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.1968, s0.loss_cls: 0.1541, s0.acc: 94.4409, s0.loss_bbox: 0.0868, s0.loss_mask: 0.2034, s1.loss_cls: 0.0750, s1.acc: 94.6284, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0952, s2.loss_cls: 0.0378, s2.acc: 94.4896, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0450, loss: 1.1029 2022-09-13 04:44:50,198 - mmdet - INFO - Epoch [9][4400/7330] lr: 1.000e-04, eta: 3 days, 4:01:46, time: 1.381, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1967, s0.loss_cls: 0.1575, s0.acc: 94.3572, s0.loss_bbox: 0.0887, s0.loss_mask: 0.2118, s1.loss_cls: 0.0750, s1.acc: 94.5359, s1.loss_bbox: 0.0962, s1.loss_mask: 0.0986, s2.loss_cls: 0.0374, s2.acc: 94.4873, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0462, loss: 1.1248 2022-09-13 04:45:57,836 - mmdet - INFO - Epoch [9][4450/7330] lr: 1.000e-04, eta: 3 days, 4:00:36, time: 1.353, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.2014, s0.loss_cls: 0.1507, s0.acc: 94.6506, s0.loss_bbox: 0.0859, s0.loss_mask: 0.2029, s1.loss_cls: 0.0717, s1.acc: 94.8539, s1.loss_bbox: 0.0936, s1.loss_mask: 0.0953, s2.loss_cls: 0.0364, s2.acc: 94.5779, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0448, loss: 1.0928 2022-09-13 04:47:06,383 - mmdet - INFO - Epoch [9][4500/7330] lr: 1.000e-04, eta: 3 days, 3:59:29, time: 1.371, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1973, s0.loss_cls: 0.1513, s0.acc: 94.6345, s0.loss_bbox: 0.0850, s0.loss_mask: 0.2049, s1.loss_cls: 0.0711, s1.acc: 95.0285, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0961, s2.loss_cls: 0.0359, s2.acc: 94.7754, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0450, loss: 1.0880 2022-09-13 04:48:14,737 - mmdet - INFO - Epoch [9][4550/7330] lr: 1.000e-04, eta: 3 days, 3:58:22, time: 1.367, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.2041, s0.loss_cls: 0.1608, s0.acc: 94.3193, s0.loss_bbox: 0.0884, s0.loss_mask: 0.2025, s1.loss_cls: 0.0776, s1.acc: 94.5078, s1.loss_bbox: 0.0952, s1.loss_mask: 0.0947, s2.loss_cls: 0.0389, s2.acc: 94.4193, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0446, loss: 1.1173 2022-09-13 04:49:23,837 - mmdet - INFO - Epoch [9][4600/7330] lr: 1.000e-04, eta: 3 days, 3:57:17, time: 1.382, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.1996, s0.loss_cls: 0.1617, s0.acc: 94.1848, s0.loss_bbox: 0.0907, s0.loss_mask: 0.2136, s1.loss_cls: 0.0766, s1.acc: 94.4550, s1.loss_bbox: 0.0955, s1.loss_mask: 0.1001, s2.loss_cls: 0.0385, s2.acc: 94.2733, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0464, loss: 1.1398 2022-09-13 04:50:31,935 - mmdet - INFO - Epoch [9][4650/7330] lr: 1.000e-04, eta: 3 days, 3:56:09, time: 1.362, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1907, s0.loss_cls: 0.1523, s0.acc: 94.6646, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2028, s1.loss_cls: 0.0726, s1.acc: 94.8603, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0952, s2.loss_cls: 0.0366, s2.acc: 94.6876, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0447, loss: 1.0818 2022-09-13 04:51:39,739 - mmdet - INFO - Epoch [9][4700/7330] lr: 1.000e-04, eta: 3 days, 3:54:59, time: 1.356, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1948, s0.loss_cls: 0.1548, s0.acc: 94.5183, s0.loss_bbox: 0.0845, s0.loss_mask: 0.1986, s1.loss_cls: 0.0750, s1.acc: 94.7299, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0930, s2.loss_cls: 0.0388, s2.acc: 94.3755, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0438, loss: 1.0901 2022-09-13 04:52:46,579 - mmdet - INFO - Epoch [9][4750/7330] lr: 1.000e-04, eta: 3 days, 3:53:47, time: 1.336, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1931, s0.loss_cls: 0.1560, s0.acc: 94.4597, s0.loss_bbox: 0.0840, s0.loss_mask: 0.2056, s1.loss_cls: 0.0750, s1.acc: 94.6271, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0963, s2.loss_cls: 0.0378, s2.acc: 94.4926, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0453, loss: 1.0970 2022-09-13 04:53:54,671 - mmdet - INFO - Epoch [9][4800/7330] lr: 1.000e-04, eta: 3 days, 3:52:39, time: 1.362, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1958, s0.loss_cls: 0.1650, s0.acc: 94.2017, s0.loss_bbox: 0.0887, s0.loss_mask: 0.2040, s1.loss_cls: 0.0785, s1.acc: 94.4426, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0948, s2.loss_cls: 0.0393, s2.acc: 94.2939, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0444, loss: 1.1141 2022-09-13 04:55:03,082 - mmdet - INFO - Epoch [9][4850/7330] lr: 1.000e-04, eta: 3 days, 3:51:31, time: 1.367, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1947, s0.loss_cls: 0.1567, s0.acc: 94.4360, s0.loss_bbox: 0.0864, s0.loss_mask: 0.2008, s1.loss_cls: 0.0748, s1.acc: 94.6343, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0940, s2.loss_cls: 0.0383, s2.acc: 94.3928, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0438, loss: 1.0959 2022-09-13 04:56:12,235 - mmdet - INFO - Epoch [9][4900/7330] lr: 1.000e-04, eta: 3 days, 3:50:27, time: 1.384, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1969, s0.loss_cls: 0.1547, s0.acc: 94.4490, s0.loss_bbox: 0.0853, s0.loss_mask: 0.1966, s1.loss_cls: 0.0745, s1.acc: 94.6164, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0921, s2.loss_cls: 0.0383, s2.acc: 94.3586, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0435, loss: 1.0852 2022-09-13 04:57:20,984 - mmdet - INFO - Epoch [9][4950/7330] lr: 1.000e-04, eta: 3 days, 3:49:20, time: 1.373, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.1964, s0.loss_cls: 0.1593, s0.acc: 94.4285, s0.loss_bbox: 0.0870, s0.loss_mask: 0.2097, s1.loss_cls: 0.0763, s1.acc: 94.6343, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0979, s2.loss_cls: 0.0387, s2.acc: 94.5028, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0460, loss: 1.1194 2022-09-13 04:58:29,538 - mmdet - INFO - Epoch [9][5000/7330] lr: 1.000e-04, eta: 3 days, 3:48:13, time: 1.371, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.2023, s0.loss_cls: 0.1620, s0.acc: 94.3567, s0.loss_bbox: 0.0875, s0.loss_mask: 0.2085, s1.loss_cls: 0.0784, s1.acc: 94.5004, s1.loss_bbox: 0.0964, s1.loss_mask: 0.0982, s2.loss_cls: 0.0397, s2.acc: 94.3382, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0458, loss: 1.1348 2022-09-13 04:59:37,305 - mmdet - INFO - Epoch [9][5050/7330] lr: 1.000e-04, eta: 3 days, 3:47:04, time: 1.357, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2009, s0.loss_cls: 0.1477, s0.acc: 94.7070, s0.loss_bbox: 0.0814, s0.loss_mask: 0.2000, s1.loss_cls: 0.0714, s1.acc: 94.9228, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0927, s2.loss_cls: 0.0361, s2.acc: 94.7728, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0434, loss: 1.0738 2022-09-13 05:00:46,840 - mmdet - INFO - Epoch [9][5100/7330] lr: 1.000e-04, eta: 3 days, 3:46:00, time: 1.391, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.2009, s0.loss_cls: 0.1561, s0.acc: 94.4534, s0.loss_bbox: 0.0873, s0.loss_mask: 0.2042, s1.loss_cls: 0.0746, s1.acc: 94.6447, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0959, s2.loss_cls: 0.0375, s2.acc: 94.5249, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0451, loss: 1.1074 2022-09-13 05:01:54,129 - mmdet - INFO - Epoch [9][5150/7330] lr: 1.000e-04, eta: 3 days, 3:44:50, time: 1.346, data_time: 0.018, memory: 64759, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1939, s0.loss_cls: 0.1591, s0.acc: 94.3889, s0.loss_bbox: 0.0876, s0.loss_mask: 0.2095, s1.loss_cls: 0.0753, s1.acc: 94.6924, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0981, s2.loss_cls: 0.0384, s2.acc: 94.4727, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0456, loss: 1.1173 2022-09-13 05:03:01,936 - mmdet - INFO - Epoch [9][5200/7330] lr: 1.000e-04, eta: 3 days, 3:43:40, time: 1.356, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1856, s0.loss_cls: 0.1506, s0.acc: 94.6206, s0.loss_bbox: 0.0848, s0.loss_mask: 0.2007, s1.loss_cls: 0.0721, s1.acc: 94.7711, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0933, s2.loss_cls: 0.0361, s2.acc: 94.6363, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0438, loss: 1.0640 2022-09-13 05:04:09,218 - mmdet - INFO - Epoch [9][5250/7330] lr: 1.000e-04, eta: 3 days, 3:42:30, time: 1.346, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1892, s0.loss_cls: 0.1435, s0.acc: 94.8015, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1989, s1.loss_cls: 0.0677, s1.acc: 95.1044, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0934, s2.loss_cls: 0.0348, s2.acc: 94.8590, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0443, loss: 1.0471 2022-09-13 05:05:17,595 - mmdet - INFO - Epoch [9][5300/7330] lr: 1.000e-04, eta: 3 days, 3:41:22, time: 1.367, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1957, s0.loss_cls: 0.1481, s0.acc: 94.7183, s0.loss_bbox: 0.0826, s0.loss_mask: 0.2010, s1.loss_cls: 0.0718, s1.acc: 94.9000, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0945, s2.loss_cls: 0.0367, s2.acc: 94.7064, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0444, loss: 1.0719 2022-09-13 05:06:25,622 - mmdet - INFO - Epoch [9][5350/7330] lr: 1.000e-04, eta: 3 days, 3:40:14, time: 1.361, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1893, s0.loss_cls: 0.1522, s0.acc: 94.5466, s0.loss_bbox: 0.0852, s0.loss_mask: 0.1981, s1.loss_cls: 0.0728, s1.acc: 94.7540, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0932, s2.loss_cls: 0.0373, s2.acc: 94.4614, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0436, loss: 1.0690 2022-09-13 05:07:33,865 - mmdet - INFO - Epoch [9][5400/7330] lr: 1.000e-04, eta: 3 days, 3:39:06, time: 1.365, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.2031, s0.loss_cls: 0.1608, s0.acc: 94.1533, s0.loss_bbox: 0.0935, s0.loss_mask: 0.2092, s1.loss_cls: 0.0755, s1.acc: 94.4913, s1.loss_bbox: 0.0992, s1.loss_mask: 0.0977, s2.loss_cls: 0.0380, s2.acc: 94.2559, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0456, loss: 1.1393 2022-09-13 05:08:40,271 - mmdet - INFO - Epoch [9][5450/7330] lr: 1.000e-04, eta: 3 days, 3:37:52, time: 1.328, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.2027, s0.loss_cls: 0.1516, s0.acc: 94.6924, s0.loss_bbox: 0.0808, s0.loss_mask: 0.2019, s1.loss_cls: 0.0713, s1.acc: 94.9860, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0944, s2.loss_cls: 0.0366, s2.acc: 94.6797, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0443, loss: 1.0824 2022-09-13 05:09:48,140 - mmdet - INFO - Epoch [9][5500/7330] lr: 1.000e-04, eta: 3 days, 3:36:43, time: 1.357, data_time: 0.034, memory: 64759, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.1938, s0.loss_cls: 0.1524, s0.acc: 94.5574, s0.loss_bbox: 0.0842, s0.loss_mask: 0.1985, s1.loss_cls: 0.0723, s1.acc: 94.8329, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0927, s2.loss_cls: 0.0367, s2.acc: 94.6902, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0437, loss: 1.0783 2022-09-13 05:10:55,144 - mmdet - INFO - Epoch [9][5550/7330] lr: 1.000e-04, eta: 3 days, 3:35:32, time: 1.340, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.2146, s0.loss_cls: 0.1522, s0.acc: 94.6169, s0.loss_bbox: 0.0854, s0.loss_mask: 0.2095, s1.loss_cls: 0.0730, s1.acc: 94.7847, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0985, s2.loss_cls: 0.0376, s2.acc: 94.5514, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0459, loss: 1.1176 2022-09-13 05:12:02,978 - mmdet - INFO - Epoch [9][5600/7330] lr: 1.000e-04, eta: 3 days, 3:34:23, time: 1.357, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.1955, s0.loss_cls: 0.1524, s0.acc: 94.6335, s0.loss_bbox: 0.0849, s0.loss_mask: 0.1991, s1.loss_cls: 0.0733, s1.acc: 94.7800, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0932, s2.loss_cls: 0.0367, s2.acc: 94.7664, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0434, loss: 1.0808 2022-09-13 05:13:10,255 - mmdet - INFO - Epoch [9][5650/7330] lr: 1.000e-04, eta: 3 days, 3:33:12, time: 1.346, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1910, s0.loss_cls: 0.1489, s0.acc: 94.6335, s0.loss_bbox: 0.0840, s0.loss_mask: 0.1983, s1.loss_cls: 0.0708, s1.acc: 94.8891, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0934, s2.loss_cls: 0.0364, s2.acc: 94.6536, s2.loss_bbox: 0.0599, s2.loss_mask: 0.0443, loss: 1.0741 2022-09-13 05:14:18,434 - mmdet - INFO - Epoch [9][5700/7330] lr: 1.000e-04, eta: 3 days, 3:32:04, time: 1.363, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1952, s0.loss_cls: 0.1545, s0.acc: 94.5549, s0.loss_bbox: 0.0855, s0.loss_mask: 0.2015, s1.loss_cls: 0.0741, s1.acc: 94.8329, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0949, s2.loss_cls: 0.0378, s2.acc: 94.5925, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0446, loss: 1.0913 2022-09-13 05:15:25,584 - mmdet - INFO - Epoch [9][5750/7330] lr: 1.000e-04, eta: 3 days, 3:30:53, time: 1.343, data_time: 0.017, memory: 64759, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1995, s0.loss_cls: 0.1535, s0.acc: 94.4543, s0.loss_bbox: 0.0860, s0.loss_mask: 0.1981, s1.loss_cls: 0.0741, s1.acc: 94.7106, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0928, s2.loss_cls: 0.0370, s2.acc: 94.5155, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0437, loss: 1.0871 2022-09-13 05:16:34,100 - mmdet - INFO - Epoch [9][5800/7330] lr: 1.000e-04, eta: 3 days, 3:29:46, time: 1.370, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1909, s0.loss_cls: 0.1474, s0.acc: 94.7842, s0.loss_bbox: 0.0833, s0.loss_mask: 0.2043, s1.loss_cls: 0.0695, s1.acc: 95.1137, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0961, s2.loss_cls: 0.0350, s2.acc: 94.9435, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0453, loss: 1.0658 2022-09-13 05:17:41,905 - mmdet - INFO - Epoch [9][5850/7330] lr: 1.000e-04, eta: 3 days, 3:28:36, time: 1.356, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1969, s0.loss_cls: 0.1478, s0.acc: 94.6306, s0.loss_bbox: 0.0851, s0.loss_mask: 0.1972, s1.loss_cls: 0.0707, s1.acc: 94.9079, s1.loss_bbox: 0.0926, s1.loss_mask: 0.0931, s2.loss_cls: 0.0364, s2.acc: 94.6520, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0436, loss: 1.0762 2022-09-13 05:18:49,873 - mmdet - INFO - Epoch [9][5900/7330] lr: 1.000e-04, eta: 3 days, 3:27:28, time: 1.359, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1422, s0.acc: 94.8762, s0.loss_bbox: 0.0814, s0.loss_mask: 0.2007, s1.loss_cls: 0.0681, s1.acc: 95.0597, s1.loss_bbox: 0.0898, s1.loss_mask: 0.0938, s2.loss_cls: 0.0347, s2.acc: 94.9696, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0440, loss: 1.0511 2022-09-13 05:19:58,178 - mmdet - INFO - Epoch [9][5950/7330] lr: 1.000e-04, eta: 3 days, 3:26:20, time: 1.366, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1920, s0.loss_cls: 0.1483, s0.acc: 94.7493, s0.loss_bbox: 0.0798, s0.loss_mask: 0.2006, s1.loss_cls: 0.0711, s1.acc: 94.9423, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0934, s2.loss_cls: 0.0367, s2.acc: 94.6561, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0437, loss: 1.0605 2022-09-13 05:21:06,512 - mmdet - INFO - Epoch [9][6000/7330] lr: 1.000e-04, eta: 3 days, 3:25:13, time: 1.367, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1996, s0.loss_cls: 0.1592, s0.acc: 94.2847, s0.loss_bbox: 0.0863, s0.loss_mask: 0.2088, s1.loss_cls: 0.0765, s1.acc: 94.4431, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0980, s2.loss_cls: 0.0391, s2.acc: 94.3079, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0462, loss: 1.1192 2022-09-13 05:22:13,949 - mmdet - INFO - Epoch [9][6050/7330] lr: 1.000e-04, eta: 3 days, 3:24:02, time: 1.349, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1947, s0.loss_cls: 0.1430, s0.acc: 94.9695, s0.loss_bbox: 0.0789, s0.loss_mask: 0.1962, s1.loss_cls: 0.0693, s1.acc: 95.1271, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0921, s2.loss_cls: 0.0351, s2.acc: 94.9886, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0436, loss: 1.0448 2022-09-13 05:23:21,656 - mmdet - INFO - Epoch [9][6100/7330] lr: 1.000e-04, eta: 3 days, 3:22:53, time: 1.354, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1946, s0.loss_cls: 0.1439, s0.acc: 94.8149, s0.loss_bbox: 0.0810, s0.loss_mask: 0.2029, s1.loss_cls: 0.0686, s1.acc: 95.0661, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0951, s2.loss_cls: 0.0342, s2.acc: 94.9974, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0448, loss: 1.0582 2022-09-13 05:24:29,108 - mmdet - INFO - Epoch [9][6150/7330] lr: 1.000e-04, eta: 3 days, 3:21:43, time: 1.349, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1980, s0.loss_cls: 0.1493, s0.acc: 94.6951, s0.loss_bbox: 0.0836, s0.loss_mask: 0.1992, s1.loss_cls: 0.0712, s1.acc: 94.8943, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0930, s2.loss_cls: 0.0365, s2.acc: 94.7050, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0436, loss: 1.0740 2022-09-13 05:25:37,384 - mmdet - INFO - Epoch [9][6200/7330] lr: 1.000e-04, eta: 3 days, 3:20:35, time: 1.365, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.2010, s0.loss_cls: 0.1615, s0.acc: 94.3376, s0.loss_bbox: 0.0879, s0.loss_mask: 0.2176, s1.loss_cls: 0.0782, s1.acc: 94.4740, s1.loss_bbox: 0.0950, s1.loss_mask: 0.1021, s2.loss_cls: 0.0396, s2.acc: 94.3410, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0478, loss: 1.1416 2022-09-13 05:26:44,725 - mmdet - INFO - Epoch [9][6250/7330] lr: 1.000e-04, eta: 3 days, 3:19:24, time: 1.345, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1951, s0.loss_cls: 0.1469, s0.acc: 94.7148, s0.loss_bbox: 0.0845, s0.loss_mask: 0.2032, s1.loss_cls: 0.0709, s1.acc: 94.8840, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0943, s2.loss_cls: 0.0356, s2.acc: 94.6731, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0444, loss: 1.0749 2022-09-13 05:27:52,485 - mmdet - INFO - Epoch [9][6300/7330] lr: 1.000e-04, eta: 3 days, 3:18:15, time: 1.357, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1995, s0.loss_cls: 0.1544, s0.acc: 94.5256, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2019, s1.loss_cls: 0.0739, s1.acc: 94.7475, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0946, s2.loss_cls: 0.0373, s2.acc: 94.5906, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0448, loss: 1.0886 2022-09-13 05:29:01,197 - mmdet - INFO - Epoch [9][6350/7330] lr: 1.000e-04, eta: 3 days, 3:17:09, time: 1.374, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1989, s0.loss_cls: 0.1480, s0.acc: 94.7751, s0.loss_bbox: 0.0804, s0.loss_mask: 0.2042, s1.loss_cls: 0.0703, s1.acc: 95.0678, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0965, s2.loss_cls: 0.0361, s2.acc: 94.6615, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0454, loss: 1.0762 2022-09-13 05:30:09,630 - mmdet - INFO - Epoch [9][6400/7330] lr: 1.000e-04, eta: 3 days, 3:16:01, time: 1.369, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1969, s0.loss_cls: 0.1538, s0.acc: 94.5774, s0.loss_bbox: 0.0829, s0.loss_mask: 0.2040, s1.loss_cls: 0.0727, s1.acc: 94.8572, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0961, s2.loss_cls: 0.0366, s2.acc: 94.6668, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0449, loss: 1.0871 2022-09-13 05:31:17,019 - mmdet - INFO - Epoch [9][6450/7330] lr: 1.000e-04, eta: 3 days, 3:14:51, time: 1.346, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1864, s0.loss_cls: 0.1453, s0.acc: 94.7349, s0.loss_bbox: 0.0819, s0.loss_mask: 0.2030, s1.loss_cls: 0.0708, s1.acc: 94.9031, s1.loss_bbox: 0.0912, s1.loss_mask: 0.0961, s2.loss_cls: 0.0361, s2.acc: 94.7299, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0452, loss: 1.0601 2022-09-13 05:32:24,306 - mmdet - INFO - Epoch [9][6500/7330] lr: 1.000e-04, eta: 3 days, 3:13:40, time: 1.347, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.2029, s0.loss_cls: 0.1544, s0.acc: 94.4917, s0.loss_bbox: 0.0834, s0.loss_mask: 0.2023, s1.loss_cls: 0.0737, s1.acc: 94.7190, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0956, s2.loss_cls: 0.0373, s2.acc: 94.4841, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0453, loss: 1.0995 2022-09-13 05:33:32,042 - mmdet - INFO - Epoch [9][6550/7330] lr: 1.000e-04, eta: 3 days, 3:12:31, time: 1.355, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1891, s0.loss_cls: 0.1494, s0.acc: 94.6985, s0.loss_bbox: 0.0829, s0.loss_mask: 0.1976, s1.loss_cls: 0.0718, s1.acc: 94.8703, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0930, s2.loss_cls: 0.0370, s2.acc: 94.6230, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0439, loss: 1.0660 2022-09-13 05:34:39,759 - mmdet - INFO - Epoch [9][6600/7330] lr: 1.000e-04, eta: 3 days, 3:11:22, time: 1.354, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1898, s0.loss_cls: 0.1472, s0.acc: 94.7747, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1970, s1.loss_cls: 0.0717, s1.acc: 94.8947, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0933, s2.loss_cls: 0.0367, s2.acc: 94.6376, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0442, loss: 1.0533 2022-09-13 05:35:48,280 - mmdet - INFO - Epoch [9][6650/7330] lr: 1.000e-04, eta: 3 days, 3:10:15, time: 1.370, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1980, s0.loss_cls: 0.1561, s0.acc: 94.4280, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2005, s1.loss_cls: 0.0756, s1.acc: 94.5643, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0939, s2.loss_cls: 0.0385, s2.acc: 94.3361, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0441, loss: 1.0938 2022-09-13 05:36:56,425 - mmdet - INFO - Epoch [9][6700/7330] lr: 1.000e-04, eta: 3 days, 3:09:06, time: 1.363, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.2058, s0.loss_cls: 0.1536, s0.acc: 94.5986, s0.loss_bbox: 0.0854, s0.loss_mask: 0.2045, s1.loss_cls: 0.0735, s1.acc: 94.8613, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0966, s2.loss_cls: 0.0371, s2.acc: 94.6233, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0454, loss: 1.1063 2022-09-13 05:38:04,081 - mmdet - INFO - Epoch [9][6750/7330] lr: 1.000e-04, eta: 3 days, 3:07:57, time: 1.353, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1965, s0.loss_cls: 0.1566, s0.acc: 94.4595, s0.loss_bbox: 0.0866, s0.loss_mask: 0.2043, s1.loss_cls: 0.0746, s1.acc: 94.7500, s1.loss_bbox: 0.0929, s1.loss_mask: 0.0959, s2.loss_cls: 0.0378, s2.acc: 94.5396, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0449, loss: 1.1017 2022-09-13 05:39:12,233 - mmdet - INFO - Epoch [9][6800/7330] lr: 1.000e-04, eta: 3 days, 3:06:49, time: 1.363, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1975, s0.loss_cls: 0.1514, s0.acc: 94.7273, s0.loss_bbox: 0.0807, s0.loss_mask: 0.1991, s1.loss_cls: 0.0732, s1.acc: 94.9078, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0932, s2.loss_cls: 0.0373, s2.acc: 94.8124, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0438, loss: 1.0690 2022-09-13 05:40:21,299 - mmdet - INFO - Epoch [9][6850/7330] lr: 1.000e-04, eta: 3 days, 3:05:43, time: 1.381, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1836, s0.loss_cls: 0.1521, s0.acc: 94.7507, s0.loss_bbox: 0.0827, s0.loss_mask: 0.2015, s1.loss_cls: 0.0717, s1.acc: 94.9404, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0949, s2.loss_cls: 0.0366, s2.acc: 94.8185, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0445, loss: 1.0657 2022-09-13 05:41:29,197 - mmdet - INFO - Epoch [9][6900/7330] lr: 1.000e-04, eta: 3 days, 3:04:35, time: 1.358, data_time: 0.032, memory: 64759, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.1921, s0.loss_cls: 0.1566, s0.acc: 94.4084, s0.loss_bbox: 0.0868, s0.loss_mask: 0.2071, s1.loss_cls: 0.0755, s1.acc: 94.5640, s1.loss_bbox: 0.0951, s1.loss_mask: 0.0970, s2.loss_cls: 0.0391, s2.acc: 94.2533, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0455, loss: 1.1106 2022-09-13 05:42:40,388 - mmdet - INFO - Epoch [9][6950/7330] lr: 1.000e-04, eta: 3 days, 3:03:36, time: 1.424, data_time: 0.041, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1984, s0.loss_cls: 0.1443, s0.acc: 94.9307, s0.loss_bbox: 0.0802, s0.loss_mask: 0.1968, s1.loss_cls: 0.0689, s1.acc: 95.1365, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0920, s2.loss_cls: 0.0352, s2.acc: 94.9728, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0434, loss: 1.0560 2022-09-13 05:43:49,667 - mmdet - INFO - Epoch [9][7000/7330] lr: 1.000e-04, eta: 3 days, 3:02:31, time: 1.386, data_time: 0.056, memory: 64759, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1989, s0.loss_cls: 0.1490, s0.acc: 94.7102, s0.loss_bbox: 0.0824, s0.loss_mask: 0.2031, s1.loss_cls: 0.0716, s1.acc: 94.9326, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0957, s2.loss_cls: 0.0368, s2.acc: 94.7153, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0448, loss: 1.0781 2022-09-13 05:44:59,972 - mmdet - INFO - Epoch [9][7050/7330] lr: 1.000e-04, eta: 3 days, 3:01:29, time: 1.406, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1889, s0.loss_cls: 0.1607, s0.acc: 94.1821, s0.loss_bbox: 0.0876, s0.loss_mask: 0.1997, s1.loss_cls: 0.0770, s1.acc: 94.4561, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0942, s2.loss_cls: 0.0398, s2.acc: 94.1966, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0445, loss: 1.1018 2022-09-13 05:46:08,979 - mmdet - INFO - Epoch [9][7100/7330] lr: 1.000e-04, eta: 3 days, 3:00:24, time: 1.380, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1931, s0.loss_cls: 0.1492, s0.acc: 94.6743, s0.loss_bbox: 0.0847, s0.loss_mask: 0.2007, s1.loss_cls: 0.0711, s1.acc: 94.8871, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0936, s2.loss_cls: 0.0363, s2.acc: 94.7507, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0439, loss: 1.0777 2022-09-13 05:47:17,360 - mmdet - INFO - Epoch [9][7150/7330] lr: 1.000e-04, eta: 3 days, 2:59:17, time: 1.368, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0310, loss_semantic_seg: 0.1956, s0.loss_cls: 0.1474, s0.acc: 94.6282, s0.loss_bbox: 0.0836, s0.loss_mask: 0.2047, s1.loss_cls: 0.0708, s1.acc: 94.8697, s1.loss_bbox: 0.0929, s1.loss_mask: 0.0962, s2.loss_cls: 0.0360, s2.acc: 94.6580, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0453, loss: 1.0885 2022-09-13 05:48:25,675 - mmdet - INFO - Epoch [9][7200/7330] lr: 1.000e-04, eta: 3 days, 2:58:09, time: 1.366, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1872, s0.loss_cls: 0.1495, s0.acc: 94.7017, s0.loss_bbox: 0.0844, s0.loss_mask: 0.1988, s1.loss_cls: 0.0719, s1.acc: 94.8833, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0924, s2.loss_cls: 0.0360, s2.acc: 94.7494, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0434, loss: 1.0671 2022-09-13 05:49:34,698 - mmdet - INFO - Epoch [9][7250/7330] lr: 1.000e-04, eta: 3 days, 2:57:03, time: 1.381, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1980, s0.loss_cls: 0.1612, s0.acc: 94.2625, s0.loss_bbox: 0.0901, s0.loss_mask: 0.2030, s1.loss_cls: 0.0778, s1.acc: 94.5093, s1.loss_bbox: 0.0992, s1.loss_mask: 0.0957, s2.loss_cls: 0.0391, s2.acc: 94.2600, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0447, loss: 1.1239 2022-09-13 05:50:43,546 - mmdet - INFO - Epoch [9][7300/7330] lr: 1.000e-04, eta: 3 days, 2:55:57, time: 1.375, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1882, s0.loss_cls: 0.1437, s0.acc: 94.7617, s0.loss_bbox: 0.0823, s0.loss_mask: 0.1978, s1.loss_cls: 0.0689, s1.acc: 94.9774, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0930, s2.loss_cls: 0.0352, s2.acc: 94.7425, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0439, loss: 1.0552 2022-09-13 05:51:33,763 - mmdet - INFO - Saving checkpoint at 9 epochs 2022-09-13 05:55:07,154 - mmdet - INFO - Evaluating bbox... 2022-09-13 05:56:13,039 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.545 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.732 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.605 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.399 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.588 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.657 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.724 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.724 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.724 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.578 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.765 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.851 2022-09-13 05:56:13,039 - mmdet - INFO - Evaluating segm... 2022-09-13 05:57:30,542 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.476 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.715 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.521 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.289 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.513 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.630 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.630 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.630 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.467 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.668 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.777 2022-09-13 05:57:32,019 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 05:57:32,019 - mmdet - INFO - Epoch(val) [9][313] bbox_mAP: 0.5450, bbox_mAP_50: 0.7320, bbox_mAP_75: 0.6050, bbox_mAP_s: 0.3990, bbox_mAP_m: 0.5880, bbox_mAP_l: 0.6570, bbox_mAP_copypaste: 0.545 0.732 0.605 0.399 0.588 0.657, segm_mAP: 0.4760, segm_mAP_50: 0.7150, segm_mAP_75: 0.5210, segm_mAP_s: 0.2890, segm_mAP_m: 0.5130, segm_mAP_l: 0.6500, segm_mAP_copypaste: 0.476 0.715 0.521 0.289 0.513 0.650 2022-09-13 06:00:32,396 - mmdet - INFO - Epoch [10][50/7330] lr: 1.000e-04, eta: 3 days, 2:57:42, time: 3.607, data_time: 2.191, memory: 64759, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1869, s0.loss_cls: 0.1449, s0.acc: 94.7429, s0.loss_bbox: 0.0818, s0.loss_mask: 0.2019, s1.loss_cls: 0.0696, s1.acc: 94.8766, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0952, s2.loss_cls: 0.0354, s2.acc: 94.8171, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0447, loss: 1.0583 2022-09-13 06:01:41,067 - mmdet - INFO - Epoch [10][100/7330] lr: 1.000e-04, eta: 3 days, 2:56:35, time: 1.372, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1878, s0.loss_cls: 0.1529, s0.acc: 94.4707, s0.loss_bbox: 0.0858, s0.loss_mask: 0.2076, s1.loss_cls: 0.0735, s1.acc: 94.7322, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0973, s2.loss_cls: 0.0370, s2.acc: 94.4759, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0457, loss: 1.0909 2022-09-13 06:02:49,684 - mmdet - INFO - Epoch [10][150/7330] lr: 1.000e-04, eta: 3 days, 2:55:28, time: 1.374, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1899, s0.loss_cls: 0.1429, s0.acc: 94.9521, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1971, s1.loss_cls: 0.0669, s1.acc: 95.3209, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0927, s2.loss_cls: 0.0339, s2.acc: 95.0373, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0437, loss: 1.0357 2022-09-13 06:03:58,094 - mmdet - INFO - Epoch [10][200/7330] lr: 1.000e-04, eta: 3 days, 2:54:21, time: 1.368, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1906, s0.loss_cls: 0.1473, s0.acc: 94.7705, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1978, s1.loss_cls: 0.0696, s1.acc: 95.0869, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0936, s2.loss_cls: 0.0353, s2.acc: 94.8394, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0439, loss: 1.0628 2022-09-13 06:05:06,100 - mmdet - INFO - Epoch [10][250/7330] lr: 1.000e-04, eta: 3 days, 2:53:12, time: 1.360, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.2037, s0.loss_cls: 0.1466, s0.acc: 94.7815, s0.loss_bbox: 0.0802, s0.loss_mask: 0.2021, s1.loss_cls: 0.0708, s1.acc: 94.9827, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0949, s2.loss_cls: 0.0364, s2.acc: 94.7534, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0446, loss: 1.0716 2022-09-13 06:06:14,902 - mmdet - INFO - Epoch [10][300/7330] lr: 1.000e-04, eta: 3 days, 2:52:05, time: 1.376, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1906, s0.loss_cls: 0.1456, s0.acc: 94.7471, s0.loss_bbox: 0.0835, s0.loss_mask: 0.2025, s1.loss_cls: 0.0694, s1.acc: 95.0359, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0950, s2.loss_cls: 0.0353, s2.acc: 94.8577, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0449, loss: 1.0688 2022-09-13 06:07:22,010 - mmdet - INFO - Epoch [10][350/7330] lr: 1.000e-04, eta: 3 days, 2:50:54, time: 1.342, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1878, s0.loss_cls: 0.1462, s0.acc: 94.7588, s0.loss_bbox: 0.0834, s0.loss_mask: 0.1998, s1.loss_cls: 0.0697, s1.acc: 94.9662, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0944, s2.loss_cls: 0.0350, s2.acc: 94.8723, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0448, loss: 1.0623 2022-09-13 06:08:31,219 - mmdet - INFO - Epoch [10][400/7330] lr: 1.000e-04, eta: 3 days, 2:49:49, time: 1.384, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1844, s0.loss_cls: 0.1506, s0.acc: 94.6331, s0.loss_bbox: 0.0830, s0.loss_mask: 0.2014, s1.loss_cls: 0.0716, s1.acc: 94.8906, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0950, s2.loss_cls: 0.0366, s2.acc: 94.6740, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0445, loss: 1.0692 2022-09-13 06:09:38,766 - mmdet - INFO - Epoch [10][450/7330] lr: 1.000e-04, eta: 3 days, 2:48:39, time: 1.351, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.1942, s0.loss_cls: 0.1588, s0.acc: 94.3623, s0.loss_bbox: 0.0870, s0.loss_mask: 0.2046, s1.loss_cls: 0.0766, s1.acc: 94.5370, s1.loss_bbox: 0.0939, s1.loss_mask: 0.0963, s2.loss_cls: 0.0388, s2.acc: 94.2988, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0451, loss: 1.1066 2022-09-13 06:10:46,827 - mmdet - INFO - Epoch [10][500/7330] lr: 1.000e-04, eta: 3 days, 2:47:30, time: 1.361, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1906, s0.loss_cls: 0.1490, s0.acc: 94.6577, s0.loss_bbox: 0.0841, s0.loss_mask: 0.1998, s1.loss_cls: 0.0720, s1.acc: 94.8757, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0935, s2.loss_cls: 0.0374, s2.acc: 94.6715, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0441, loss: 1.0792 2022-09-13 06:11:55,360 - mmdet - INFO - Epoch [10][550/7330] lr: 1.000e-04, eta: 3 days, 2:46:23, time: 1.369, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1475, s0.acc: 94.7424, s0.loss_bbox: 0.0824, s0.loss_mask: 0.1972, s1.loss_cls: 0.0722, s1.acc: 94.8532, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0931, s2.loss_cls: 0.0368, s2.acc: 94.6453, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0439, loss: 1.0645 2022-09-13 06:13:03,413 - mmdet - INFO - Epoch [10][600/7330] lr: 1.000e-04, eta: 3 days, 2:45:14, time: 1.362, data_time: 0.016, memory: 64759, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1964, s0.loss_cls: 0.1410, s0.acc: 94.8738, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1944, s1.loss_cls: 0.0683, s1.acc: 95.0371, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0907, s2.loss_cls: 0.0352, s2.acc: 94.8031, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0430, loss: 1.0435 2022-09-13 06:14:12,225 - mmdet - INFO - Epoch [10][650/7330] lr: 1.000e-04, eta: 3 days, 2:44:08, time: 1.374, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1940, s0.loss_cls: 0.1452, s0.acc: 94.8618, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1947, s1.loss_cls: 0.0695, s1.acc: 95.1385, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0917, s2.loss_cls: 0.0352, s2.acc: 94.9528, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0432, loss: 1.0405 2022-09-13 06:15:19,791 - mmdet - INFO - Epoch [10][700/7330] lr: 1.000e-04, eta: 3 days, 2:42:58, time: 1.354, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1905, s0.loss_cls: 0.1518, s0.acc: 94.6343, s0.loss_bbox: 0.0839, s0.loss_mask: 0.2065, s1.loss_cls: 0.0722, s1.acc: 94.8787, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0977, s2.loss_cls: 0.0368, s2.acc: 94.6332, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0452, loss: 1.0861 2022-09-13 06:16:28,359 - mmdet - INFO - Epoch [10][750/7330] lr: 1.000e-04, eta: 3 days, 2:41:51, time: 1.371, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1837, s0.loss_cls: 0.1472, s0.acc: 94.7424, s0.loss_bbox: 0.0840, s0.loss_mask: 0.2009, s1.loss_cls: 0.0701, s1.acc: 94.9790, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0946, s2.loss_cls: 0.0360, s2.acc: 94.7083, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0442, loss: 1.0637 2022-09-13 06:17:37,269 - mmdet - INFO - Epoch [10][800/7330] lr: 1.000e-04, eta: 3 days, 2:40:45, time: 1.378, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1874, s0.loss_cls: 0.1505, s0.acc: 94.6406, s0.loss_bbox: 0.0829, s0.loss_mask: 0.2058, s1.loss_cls: 0.0714, s1.acc: 94.8984, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0965, s2.loss_cls: 0.0367, s2.acc: 94.6433, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0455, loss: 1.0753 2022-09-13 06:18:45,279 - mmdet - INFO - Epoch [10][850/7330] lr: 1.000e-04, eta: 3 days, 2:39:36, time: 1.360, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1894, s0.loss_cls: 0.1518, s0.acc: 94.5007, s0.loss_bbox: 0.0864, s0.loss_mask: 0.2045, s1.loss_cls: 0.0722, s1.acc: 94.7483, s1.loss_bbox: 0.0929, s1.loss_mask: 0.0963, s2.loss_cls: 0.0366, s2.acc: 94.5931, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0456, loss: 1.0872 2022-09-13 06:19:54,005 - mmdet - INFO - Epoch [10][900/7330] lr: 1.000e-04, eta: 3 days, 2:38:29, time: 1.373, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1923, s0.loss_cls: 0.1440, s0.acc: 94.8049, s0.loss_bbox: 0.0809, s0.loss_mask: 0.2007, s1.loss_cls: 0.0683, s1.acc: 95.0413, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0948, s2.loss_cls: 0.0346, s2.acc: 94.7984, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0447, loss: 1.0602 2022-09-13 06:21:02,559 - mmdet - INFO - Epoch [10][950/7330] lr: 1.000e-04, eta: 3 days, 2:37:22, time: 1.373, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1870, s0.loss_cls: 0.1447, s0.acc: 94.7271, s0.loss_bbox: 0.0825, s0.loss_mask: 0.2014, s1.loss_cls: 0.0689, s1.acc: 95.0147, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0951, s2.loss_cls: 0.0347, s2.acc: 94.8414, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0451, loss: 1.0577 2022-09-13 06:22:11,405 - mmdet - INFO - Epoch [10][1000/7330] lr: 1.000e-04, eta: 3 days, 2:36:16, time: 1.377, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1917, s0.loss_cls: 0.1440, s0.acc: 94.8796, s0.loss_bbox: 0.0813, s0.loss_mask: 0.1971, s1.loss_cls: 0.0675, s1.acc: 95.2273, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0928, s2.loss_cls: 0.0342, s2.acc: 95.0039, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0439, loss: 1.0545 2022-09-13 06:23:19,740 - mmdet - INFO - Epoch [10][1050/7330] lr: 1.000e-04, eta: 3 days, 2:35:08, time: 1.367, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0324, loss_semantic_seg: 0.1883, s0.loss_cls: 0.1487, s0.acc: 94.7090, s0.loss_bbox: 0.0848, s0.loss_mask: 0.2046, s1.loss_cls: 0.0701, s1.acc: 95.0076, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0958, s2.loss_cls: 0.0358, s2.acc: 94.7846, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0447, loss: 1.0792 2022-09-13 06:24:27,251 - mmdet - INFO - Epoch [10][1100/7330] lr: 1.000e-04, eta: 3 days, 2:33:58, time: 1.350, data_time: 0.020, memory: 64759, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1870, s0.loss_cls: 0.1423, s0.acc: 94.8274, s0.loss_bbox: 0.0793, s0.loss_mask: 0.1926, s1.loss_cls: 0.0674, s1.acc: 95.0890, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0904, s2.loss_cls: 0.0345, s2.acc: 94.8185, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0426, loss: 1.0274 2022-09-13 06:25:35,198 - mmdet - INFO - Epoch [10][1150/7330] lr: 1.000e-04, eta: 3 days, 2:32:49, time: 1.359, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1885, s0.loss_cls: 0.1437, s0.acc: 94.7751, s0.loss_bbox: 0.0820, s0.loss_mask: 0.1985, s1.loss_cls: 0.0682, s1.acc: 95.0203, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0932, s2.loss_cls: 0.0349, s2.acc: 94.8411, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0440, loss: 1.0460 2022-09-13 06:26:43,788 - mmdet - INFO - Epoch [10][1200/7330] lr: 1.000e-04, eta: 3 days, 2:31:42, time: 1.372, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1524, s0.acc: 94.5398, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2033, s1.loss_cls: 0.0728, s1.acc: 94.7852, s1.loss_bbox: 0.0911, s1.loss_mask: 0.0951, s2.loss_cls: 0.0365, s2.acc: 94.7243, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0446, loss: 1.0765 2022-09-13 06:27:52,402 - mmdet - INFO - Epoch [10][1250/7330] lr: 1.000e-04, eta: 3 days, 2:30:35, time: 1.372, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1861, s0.loss_cls: 0.1451, s0.acc: 94.8750, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1960, s1.loss_cls: 0.0681, s1.acc: 95.1797, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0927, s2.loss_cls: 0.0342, s2.acc: 95.0618, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0441, loss: 1.0333 2022-09-13 06:29:01,301 - mmdet - INFO - Epoch [10][1300/7330] lr: 1.000e-04, eta: 3 days, 2:29:29, time: 1.378, data_time: 0.034, memory: 64759, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1960, s0.loss_cls: 0.1547, s0.acc: 94.5020, s0.loss_bbox: 0.0858, s0.loss_mask: 0.2033, s1.loss_cls: 0.0747, s1.acc: 94.6540, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0958, s2.loss_cls: 0.0376, s2.acc: 94.5524, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0452, loss: 1.1001 2022-09-13 06:30:10,225 - mmdet - INFO - Epoch [10][1350/7330] lr: 1.000e-04, eta: 3 days, 2:28:23, time: 1.378, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1905, s0.loss_cls: 0.1526, s0.acc: 94.5728, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1991, s1.loss_cls: 0.0728, s1.acc: 94.7873, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0946, s2.loss_cls: 0.0370, s2.acc: 94.4465, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0448, loss: 1.0745 2022-09-13 06:31:19,348 - mmdet - INFO - Epoch [10][1400/7330] lr: 1.000e-04, eta: 3 days, 2:27:17, time: 1.383, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1885, s0.loss_cls: 0.1553, s0.acc: 94.4487, s0.loss_bbox: 0.0852, s0.loss_mask: 0.2039, s1.loss_cls: 0.0735, s1.acc: 94.6660, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0957, s2.loss_cls: 0.0377, s2.acc: 94.5317, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0449, loss: 1.0901 2022-09-13 06:32:27,992 - mmdet - INFO - Epoch [10][1450/7330] lr: 1.000e-04, eta: 3 days, 2:26:10, time: 1.373, data_time: 0.019, memory: 64759, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1855, s0.loss_cls: 0.1525, s0.acc: 94.4104, s0.loss_bbox: 0.0842, s0.loss_mask: 0.2046, s1.loss_cls: 0.0734, s1.acc: 94.6679, s1.loss_bbox: 0.0936, s1.loss_mask: 0.0962, s2.loss_cls: 0.0385, s2.acc: 94.2777, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0456, loss: 1.0892 2022-09-13 06:33:35,651 - mmdet - INFO - Epoch [10][1500/7330] lr: 1.000e-04, eta: 3 days, 2:25:00, time: 1.353, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1870, s0.loss_cls: 0.1449, s0.acc: 94.8411, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1988, s1.loss_cls: 0.0696, s1.acc: 95.0993, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0933, s2.loss_cls: 0.0358, s2.acc: 94.8470, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0442, loss: 1.0490 2022-09-13 06:34:44,218 - mmdet - INFO - Epoch [10][1550/7330] lr: 1.000e-04, eta: 3 days, 2:23:53, time: 1.371, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.2000, s0.loss_cls: 0.1490, s0.acc: 94.7131, s0.loss_bbox: 0.0825, s0.loss_mask: 0.1989, s1.loss_cls: 0.0720, s1.acc: 94.8121, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0932, s2.loss_cls: 0.0368, s2.acc: 94.6106, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0439, loss: 1.0784 2022-09-13 06:35:51,951 - mmdet - INFO - Epoch [10][1600/7330] lr: 1.000e-04, eta: 3 days, 2:22:44, time: 1.355, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1920, s0.loss_cls: 0.1525, s0.acc: 94.6089, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1991, s1.loss_cls: 0.0736, s1.acc: 94.7755, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0931, s2.loss_cls: 0.0373, s2.acc: 94.6820, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0435, loss: 1.0715 2022-09-13 06:36:59,377 - mmdet - INFO - Epoch [10][1650/7330] lr: 1.000e-04, eta: 3 days, 2:21:33, time: 1.349, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1971, s0.loss_cls: 0.1554, s0.acc: 94.4897, s0.loss_bbox: 0.0860, s0.loss_mask: 0.2005, s1.loss_cls: 0.0741, s1.acc: 94.7196, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0940, s2.loss_cls: 0.0378, s2.acc: 94.4863, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0444, loss: 1.0951 2022-09-13 06:38:08,657 - mmdet - INFO - Epoch [10][1700/7330] lr: 1.000e-04, eta: 3 days, 2:20:28, time: 1.385, data_time: 0.026, memory: 64759, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1866, s0.loss_cls: 0.1508, s0.acc: 94.5916, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1996, s1.loss_cls: 0.0723, s1.acc: 94.8056, s1.loss_bbox: 0.0895, s1.loss_mask: 0.0926, s2.loss_cls: 0.0369, s2.acc: 94.4834, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0434, loss: 1.0626 2022-09-13 06:39:16,530 - mmdet - INFO - Epoch [10][1750/7330] lr: 1.000e-04, eta: 3 days, 2:19:19, time: 1.358, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1966, s0.loss_cls: 0.1463, s0.acc: 94.7910, s0.loss_bbox: 0.0811, s0.loss_mask: 0.2033, s1.loss_cls: 0.0698, s1.acc: 95.0257, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0963, s2.loss_cls: 0.0358, s2.acc: 94.8358, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0450, loss: 1.0704 2022-09-13 06:40:26,012 - mmdet - INFO - Epoch [10][1800/7330] lr: 1.000e-04, eta: 3 days, 2:18:15, time: 1.390, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1985, s0.loss_cls: 0.1463, s0.acc: 94.7959, s0.loss_bbox: 0.0802, s0.loss_mask: 0.2004, s1.loss_cls: 0.0699, s1.acc: 95.0531, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0940, s2.loss_cls: 0.0358, s2.acc: 94.8642, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0437, loss: 1.0631 2022-09-13 06:41:33,937 - mmdet - INFO - Epoch [10][1850/7330] lr: 1.000e-04, eta: 3 days, 2:17:06, time: 1.359, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1910, s0.loss_cls: 0.1516, s0.acc: 94.5825, s0.loss_bbox: 0.0847, s0.loss_mask: 0.1995, s1.loss_cls: 0.0728, s1.acc: 94.7691, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0952, s2.loss_cls: 0.0371, s2.acc: 94.5207, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0449, loss: 1.0814 2022-09-13 06:42:42,473 - mmdet - INFO - Epoch [10][1900/7330] lr: 1.000e-04, eta: 3 days, 2:15:58, time: 1.371, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1890, s0.loss_cls: 0.1506, s0.acc: 94.5793, s0.loss_bbox: 0.0844, s0.loss_mask: 0.2011, s1.loss_cls: 0.0730, s1.acc: 94.6886, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0945, s2.loss_cls: 0.0370, s2.acc: 94.4639, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0442, loss: 1.0774 2022-09-13 06:43:50,709 - mmdet - INFO - Epoch [10][1950/7330] lr: 1.000e-04, eta: 3 days, 2:14:50, time: 1.365, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.1935, s0.loss_cls: 0.1661, s0.acc: 94.1016, s0.loss_bbox: 0.0895, s0.loss_mask: 0.2046, s1.loss_cls: 0.0798, s1.acc: 94.2456, s1.loss_bbox: 0.0977, s1.loss_mask: 0.0961, s2.loss_cls: 0.0409, s2.acc: 94.0622, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0454, loss: 1.1332 2022-09-13 06:44:58,003 - mmdet - INFO - Epoch [10][2000/7330] lr: 1.000e-04, eta: 3 days, 2:13:39, time: 1.346, data_time: 0.022, memory: 64759, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1959, s0.loss_cls: 0.1540, s0.acc: 94.5488, s0.loss_bbox: 0.0865, s0.loss_mask: 0.2066, s1.loss_cls: 0.0744, s1.acc: 94.7118, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0972, s2.loss_cls: 0.0381, s2.acc: 94.4895, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0456, loss: 1.1046 2022-09-13 06:46:05,940 - mmdet - INFO - Epoch [10][2050/7330] lr: 1.000e-04, eta: 3 days, 2:12:30, time: 1.359, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1941, s0.loss_cls: 0.1508, s0.acc: 94.6282, s0.loss_bbox: 0.0861, s0.loss_mask: 0.2075, s1.loss_cls: 0.0728, s1.acc: 94.6987, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0986, s2.loss_cls: 0.0370, s2.acc: 94.5217, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0462, loss: 1.0948 2022-09-13 06:47:15,434 - mmdet - INFO - Epoch [10][2100/7330] lr: 1.000e-04, eta: 3 days, 2:11:26, time: 1.390, data_time: 0.027, memory: 64759, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1951, s0.loss_cls: 0.1495, s0.acc: 94.6257, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1945, s1.loss_cls: 0.0714, s1.acc: 94.8697, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0911, s2.loss_cls: 0.0365, s2.acc: 94.6928, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0430, loss: 1.0605 2022-09-13 06:48:23,659 - mmdet - INFO - Epoch [10][2150/7330] lr: 1.000e-04, eta: 3 days, 2:10:18, time: 1.363, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1902, s0.loss_cls: 0.1477, s0.acc: 94.6782, s0.loss_bbox: 0.0833, s0.loss_mask: 0.1973, s1.loss_cls: 0.0697, s1.acc: 94.9800, s1.loss_bbox: 0.0915, s1.loss_mask: 0.0929, s2.loss_cls: 0.0356, s2.acc: 94.7358, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0437, loss: 1.0615 2022-09-13 06:49:31,933 - mmdet - INFO - Epoch [10][2200/7330] lr: 1.000e-04, eta: 3 days, 2:09:10, time: 1.367, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1904, s0.loss_cls: 0.1441, s0.acc: 94.7646, s0.loss_bbox: 0.0809, s0.loss_mask: 0.1954, s1.loss_cls: 0.0690, s1.acc: 94.8920, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0908, s2.loss_cls: 0.0353, s2.acc: 94.7333, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0428, loss: 1.0466 2022-09-13 06:50:40,550 - mmdet - INFO - Epoch [10][2250/7330] lr: 1.000e-04, eta: 3 days, 2:08:03, time: 1.372, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1965, s0.loss_cls: 0.1530, s0.acc: 94.5312, s0.loss_bbox: 0.0832, s0.loss_mask: 0.1961, s1.loss_cls: 0.0735, s1.acc: 94.7464, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0921, s2.loss_cls: 0.0380, s2.acc: 94.5037, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0434, loss: 1.0744 2022-09-13 06:51:48,923 - mmdet - INFO - Epoch [10][2300/7330] lr: 1.000e-04, eta: 3 days, 2:06:55, time: 1.367, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1914, s0.loss_cls: 0.1490, s0.acc: 94.7427, s0.loss_bbox: 0.0819, s0.loss_mask: 0.1994, s1.loss_cls: 0.0710, s1.acc: 95.0265, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0940, s2.loss_cls: 0.0359, s2.acc: 94.7643, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0442, loss: 1.0710 2022-09-13 06:52:57,422 - mmdet - INFO - Epoch [10][2350/7330] lr: 1.000e-04, eta: 3 days, 2:05:48, time: 1.370, data_time: 0.028, memory: 64759, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1939, s0.loss_cls: 0.1503, s0.acc: 94.5974, s0.loss_bbox: 0.0835, s0.loss_mask: 0.2010, s1.loss_cls: 0.0712, s1.acc: 94.8840, s1.loss_bbox: 0.0895, s1.loss_mask: 0.0938, s2.loss_cls: 0.0367, s2.acc: 94.6055, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0441, loss: 1.0736 2022-09-13 06:54:05,566 - mmdet - INFO - Epoch [10][2400/7330] lr: 1.000e-04, eta: 3 days, 2:04:39, time: 1.361, data_time: 0.025, memory: 64759, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1910, s0.loss_cls: 0.1371, s0.acc: 95.0720, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1904, s1.loss_cls: 0.0648, s1.acc: 95.2994, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0896, s2.loss_cls: 0.0327, s2.acc: 95.1902, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0421, loss: 1.0161 2022-09-13 06:55:13,879 - mmdet - INFO - Epoch [10][2450/7330] lr: 1.000e-04, eta: 3 days, 2:03:32, time: 1.368, data_time: 0.024, memory: 64759, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1933, s0.loss_cls: 0.1561, s0.acc: 94.3086, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2000, s1.loss_cls: 0.0744, s1.acc: 94.6571, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0934, s2.loss_cls: 0.0378, s2.acc: 94.4373, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0441, loss: 1.0883 2022-09-13 06:56:22,453 - mmdet - INFO - Epoch [10][2500/7330] lr: 1.000e-04, eta: 3 days, 2:02:24, time: 1.371, data_time: 0.021, memory: 64759, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1942, s0.loss_cls: 0.1535, s0.acc: 94.6111, s0.loss_bbox: 0.0827, s0.loss_mask: 0.2020, s1.loss_cls: 0.0742, s1.acc: 94.7530, s1.loss_bbox: 0.0909, s1.loss_mask: 0.0947, s2.loss_cls: 0.0381, s2.acc: 94.4507, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0442, loss: 1.0853 2022-09-13 06:57:31,147 - mmdet - INFO - Epoch [10][2550/7330] lr: 1.000e-04, eta: 3 days, 2:01:18, time: 1.374, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1889, s0.loss_cls: 0.1533, s0.acc: 94.5806, s0.loss_bbox: 0.0851, s0.loss_mask: 0.1995, s1.loss_cls: 0.0738, s1.acc: 94.7641, s1.loss_bbox: 0.0929, s1.loss_mask: 0.0932, s2.loss_cls: 0.0380, s2.acc: 94.4448, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0434, loss: 1.0797 2022-09-13 06:58:39,069 - mmdet - INFO - Epoch [10][2600/7330] lr: 1.000e-04, eta: 3 days, 2:00:08, time: 1.357, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1923, s0.loss_cls: 0.1517, s0.acc: 94.6541, s0.loss_bbox: 0.0813, s0.loss_mask: 0.1914, s1.loss_cls: 0.0723, s1.acc: 94.8946, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0898, s2.loss_cls: 0.0369, s2.acc: 94.7152, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0420, loss: 1.0560 2022-09-13 06:59:48,237 - mmdet - INFO - Epoch [10][2650/7330] lr: 1.000e-04, eta: 3 days, 1:59:03, time: 1.385, data_time: 0.030, memory: 64759, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1493, s0.acc: 94.6028, s0.loss_bbox: 0.0842, s0.loss_mask: 0.1964, s1.loss_cls: 0.0719, s1.acc: 94.7037, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0919, s2.loss_cls: 0.0370, s2.acc: 94.4775, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0432, loss: 1.0676 2022-09-13 07:00:57,260 - mmdet - INFO - Epoch [10][2700/7330] lr: 1.000e-04, eta: 3 days, 1:57:57, time: 1.381, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1839, s0.loss_cls: 0.1528, s0.acc: 94.6387, s0.loss_bbox: 0.0853, s0.loss_mask: 0.1974, s1.loss_cls: 0.0737, s1.acc: 94.7606, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0926, s2.loss_cls: 0.0374, s2.acc: 94.6583, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0434, loss: 1.0709 2022-09-13 07:02:05,949 - mmdet - INFO - Epoch [10][2750/7330] lr: 1.000e-04, eta: 3 days, 1:56:50, time: 1.374, data_time: 0.029, memory: 64759, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1974, s0.loss_cls: 0.1539, s0.acc: 94.4724, s0.loss_bbox: 0.0847, s0.loss_mask: 0.1986, s1.loss_cls: 0.0751, s1.acc: 94.6172, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0945, s2.loss_cls: 0.0382, s2.acc: 94.4001, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0446, loss: 1.0905 2022-09-13 07:03:14,501 - mmdet - INFO - Epoch [10][2800/7330] lr: 1.000e-04, eta: 3 days, 1:55:43, time: 1.371, data_time: 0.023, memory: 64759, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1875, s0.loss_cls: 0.1452, s0.acc: 94.8003, s0.loss_bbox: 0.0786, s0.loss_mask: 0.2031, s1.loss_cls: 0.0686, s1.acc: 95.1714, s1.loss_bbox: 0.0880, s1.loss_mask: 0.0961, s2.loss_cls: 0.0352, s2.acc: 94.9845, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0456, loss: 1.0553 2022-09-13 07:04:23,394 - mmdet - INFO - Epoch [10][2850/7330] lr: 1.000e-04, eta: 3 days, 1:54:37, time: 1.378, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1902, s0.loss_cls: 0.1482, s0.acc: 94.7134, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1977, s1.loss_cls: 0.0708, s1.acc: 94.9036, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0928, s2.loss_cls: 0.0357, s2.acc: 94.8465, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0436, loss: 1.0548 2022-09-13 07:05:30,916 - mmdet - INFO - Epoch [10][2900/7330] lr: 1.000e-04, eta: 3 days, 1:53:27, time: 1.351, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1391, s0.acc: 94.9875, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1921, s1.loss_cls: 0.0676, s1.acc: 95.0694, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0905, s2.loss_cls: 0.0350, s2.acc: 94.8730, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0427, loss: 1.0208 2022-09-13 07:06:38,792 - mmdet - INFO - Epoch [10][2950/7330] lr: 1.000e-04, eta: 3 days, 1:52:18, time: 1.358, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1941, s0.loss_cls: 0.1493, s0.acc: 94.6123, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1973, s1.loss_cls: 0.0721, s1.acc: 94.7924, s1.loss_bbox: 0.0880, s1.loss_mask: 0.0923, s2.loss_cls: 0.0370, s2.acc: 94.6105, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0434, loss: 1.0599 2022-09-13 07:07:47,551 - mmdet - INFO - Epoch [10][3000/7330] lr: 1.000e-04, eta: 3 days, 1:51:11, time: 1.375, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1906, s0.loss_cls: 0.1575, s0.acc: 94.3750, s0.loss_bbox: 0.0849, s0.loss_mask: 0.2018, s1.loss_cls: 0.0756, s1.acc: 94.6077, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0945, s2.loss_cls: 0.0387, s2.acc: 94.2775, s2.loss_bbox: 0.0618, s2.loss_mask: 0.0443, loss: 1.0972 2022-09-13 07:08:56,175 - mmdet - INFO - Epoch [10][3050/7330] lr: 1.000e-04, eta: 3 days, 1:50:04, time: 1.371, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1927, s0.loss_cls: 0.1552, s0.acc: 94.4587, s0.loss_bbox: 0.0879, s0.loss_mask: 0.2026, s1.loss_cls: 0.0747, s1.acc: 94.6649, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0951, s2.loss_cls: 0.0381, s2.acc: 94.4463, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0449, loss: 1.0947 2022-09-13 07:10:05,398 - mmdet - INFO - Epoch [10][3100/7330] lr: 1.000e-04, eta: 3 days, 1:48:59, time: 1.386, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1856, s0.loss_cls: 0.1551, s0.acc: 94.4500, s0.loss_bbox: 0.0830, s0.loss_mask: 0.2017, s1.loss_cls: 0.0745, s1.acc: 94.6923, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0949, s2.loss_cls: 0.0383, s2.acc: 94.4866, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0445, loss: 1.0802 2022-09-13 07:11:14,448 - mmdet - INFO - Epoch [10][3150/7330] lr: 1.000e-04, eta: 3 days, 1:47:53, time: 1.381, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1984, s0.loss_cls: 0.1532, s0.acc: 94.5061, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2022, s1.loss_cls: 0.0735, s1.acc: 94.7014, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0946, s2.loss_cls: 0.0375, s2.acc: 94.4570, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0445, loss: 1.0960 2022-09-13 07:12:21,808 - mmdet - INFO - Epoch [10][3200/7330] lr: 1.000e-04, eta: 3 days, 1:46:42, time: 1.348, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1966, s0.loss_cls: 0.1473, s0.acc: 94.7974, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1973, s1.loss_cls: 0.0719, s1.acc: 94.8864, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0935, s2.loss_cls: 0.0368, s2.acc: 94.6262, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0442, loss: 1.0545 2022-09-13 07:13:30,301 - mmdet - INFO - Epoch [10][3250/7330] lr: 1.000e-04, eta: 3 days, 1:45:35, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1835, s0.loss_cls: 0.1505, s0.acc: 94.5940, s0.loss_bbox: 0.0825, s0.loss_mask: 0.2052, s1.loss_cls: 0.0726, s1.acc: 94.7831, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0972, s2.loss_cls: 0.0373, s2.acc: 94.5274, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0460, loss: 1.0801 2022-09-13 07:14:38,712 - mmdet - INFO - Epoch [10][3300/7330] lr: 1.000e-04, eta: 3 days, 1:44:27, time: 1.368, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1894, s0.loss_cls: 0.1433, s0.acc: 94.8066, s0.loss_bbox: 0.0809, s0.loss_mask: 0.2001, s1.loss_cls: 0.0703, s1.acc: 94.9173, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0955, s2.loss_cls: 0.0356, s2.acc: 94.7325, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0449, loss: 1.0622 2022-09-13 07:15:48,005 - mmdet - INFO - Epoch [10][3350/7330] lr: 1.000e-04, eta: 3 days, 1:43:22, time: 1.386, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.2015, s0.loss_cls: 0.1534, s0.acc: 94.5068, s0.loss_bbox: 0.0826, s0.loss_mask: 0.1987, s1.loss_cls: 0.0745, s1.acc: 94.6430, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0924, s2.loss_cls: 0.0378, s2.acc: 94.5016, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0433, loss: 1.0841 2022-09-13 07:16:57,708 - mmdet - INFO - Epoch [10][3400/7330] lr: 1.000e-04, eta: 3 days, 1:42:18, time: 1.394, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1943, s0.loss_cls: 0.1461, s0.acc: 94.7578, s0.loss_bbox: 0.0830, s0.loss_mask: 0.1977, s1.loss_cls: 0.0697, s1.acc: 95.0312, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0924, s2.loss_cls: 0.0349, s2.acc: 94.7987, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0434, loss: 1.0609 2022-09-13 07:18:04,773 - mmdet - INFO - Epoch [10][3450/7330] lr: 1.000e-04, eta: 3 days, 1:41:07, time: 1.341, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1920, s0.loss_cls: 0.1436, s0.acc: 94.8833, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1937, s1.loss_cls: 0.0683, s1.acc: 95.1505, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0906, s2.loss_cls: 0.0349, s2.acc: 94.9705, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0429, loss: 1.0342 2022-09-13 07:19:12,507 - mmdet - INFO - Epoch [10][3500/7330] lr: 1.000e-04, eta: 3 days, 1:39:57, time: 1.355, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1830, s0.loss_cls: 0.1499, s0.acc: 94.6384, s0.loss_bbox: 0.0828, s0.loss_mask: 0.2003, s1.loss_cls: 0.0725, s1.acc: 94.8120, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0949, s2.loss_cls: 0.0372, s2.acc: 94.5595, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0450, loss: 1.0731 2022-09-13 07:20:20,846 - mmdet - INFO - Epoch [10][3550/7330] lr: 1.000e-04, eta: 3 days, 1:38:49, time: 1.367, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1430, s0.acc: 94.8491, s0.loss_bbox: 0.0810, s0.loss_mask: 0.1984, s1.loss_cls: 0.0700, s1.acc: 94.9658, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0937, s2.loss_cls: 0.0360, s2.acc: 94.7377, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0441, loss: 1.0544 2022-09-13 07:21:29,193 - mmdet - INFO - Epoch [10][3600/7330] lr: 1.000e-04, eta: 3 days, 1:37:42, time: 1.367, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1905, s0.loss_cls: 0.1494, s0.acc: 94.5071, s0.loss_bbox: 0.0854, s0.loss_mask: 0.2065, s1.loss_cls: 0.0726, s1.acc: 94.6360, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0969, s2.loss_cls: 0.0365, s2.acc: 94.4503, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0457, loss: 1.0903 2022-09-13 07:22:37,691 - mmdet - INFO - Epoch [10][3650/7330] lr: 1.000e-04, eta: 3 days, 1:36:34, time: 1.370, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1916, s0.loss_cls: 0.1524, s0.acc: 94.6497, s0.loss_bbox: 0.0824, s0.loss_mask: 0.1976, s1.loss_cls: 0.0722, s1.acc: 94.9304, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0933, s2.loss_cls: 0.0361, s2.acc: 94.7295, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0439, loss: 1.0663 2022-09-13 07:23:45,722 - mmdet - INFO - Epoch [10][3700/7330] lr: 1.000e-04, eta: 3 days, 1:35:25, time: 1.359, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1996, s0.loss_cls: 0.1461, s0.acc: 94.7556, s0.loss_bbox: 0.0825, s0.loss_mask: 0.2000, s1.loss_cls: 0.0702, s1.acc: 94.9791, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0935, s2.loss_cls: 0.0356, s2.acc: 94.8607, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0441, loss: 1.0667 2022-09-13 07:24:53,727 - mmdet - INFO - Epoch [10][3750/7330] lr: 1.000e-04, eta: 3 days, 1:34:17, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1933, s0.loss_cls: 0.1490, s0.acc: 94.6284, s0.loss_bbox: 0.0836, s0.loss_mask: 0.1993, s1.loss_cls: 0.0712, s1.acc: 94.8101, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0933, s2.loss_cls: 0.0357, s2.acc: 94.7261, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0438, loss: 1.0660 2022-09-13 07:26:00,827 - mmdet - INFO - Epoch [10][3800/7330] lr: 1.000e-04, eta: 3 days, 1:33:05, time: 1.342, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.2025, s0.loss_cls: 0.1489, s0.acc: 94.7595, s0.loss_bbox: 0.0803, s0.loss_mask: 0.2025, s1.loss_cls: 0.0718, s1.acc: 94.8835, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0953, s2.loss_cls: 0.0369, s2.acc: 94.5933, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0453, loss: 1.0791 2022-09-13 07:27:08,771 - mmdet - INFO - Epoch [10][3850/7330] lr: 1.000e-04, eta: 3 days, 1:31:56, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1932, s0.loss_cls: 0.1505, s0.acc: 94.6702, s0.loss_bbox: 0.0836, s0.loss_mask: 0.1910, s1.loss_cls: 0.0712, s1.acc: 94.9531, s1.loss_bbox: 0.0909, s1.loss_mask: 0.0907, s2.loss_cls: 0.0361, s2.acc: 94.8296, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0425, loss: 1.0596 2022-09-13 07:28:17,068 - mmdet - INFO - Epoch [10][3900/7330] lr: 1.000e-04, eta: 3 days, 1:30:49, time: 1.368, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1884, s0.loss_cls: 0.1482, s0.acc: 94.6948, s0.loss_bbox: 0.0814, s0.loss_mask: 0.2011, s1.loss_cls: 0.0716, s1.acc: 94.9455, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0938, s2.loss_cls: 0.0361, s2.acc: 94.8079, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0442, loss: 1.0605 2022-09-13 07:29:25,210 - mmdet - INFO - Epoch [10][3950/7330] lr: 1.000e-04, eta: 3 days, 1:29:40, time: 1.363, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1940, s0.loss_cls: 0.1506, s0.acc: 94.6091, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1992, s1.loss_cls: 0.0730, s1.acc: 94.7903, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0931, s2.loss_cls: 0.0374, s2.acc: 94.5229, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0439, loss: 1.0768 2022-09-13 07:30:33,706 - mmdet - INFO - Epoch [10][4000/7330] lr: 1.000e-04, eta: 3 days, 1:28:33, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1928, s0.loss_cls: 0.1522, s0.acc: 94.5376, s0.loss_bbox: 0.0846, s0.loss_mask: 0.1995, s1.loss_cls: 0.0726, s1.acc: 94.8430, s1.loss_bbox: 0.0912, s1.loss_mask: 0.0939, s2.loss_cls: 0.0371, s2.acc: 94.6075, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0442, loss: 1.0771 2022-09-13 07:31:41,296 - mmdet - INFO - Epoch [10][4050/7330] lr: 1.000e-04, eta: 3 days, 1:27:23, time: 1.352, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1826, s0.loss_cls: 0.1482, s0.acc: 94.6807, s0.loss_bbox: 0.0818, s0.loss_mask: 0.2001, s1.loss_cls: 0.0705, s1.acc: 94.9074, s1.loss_bbox: 0.0898, s1.loss_mask: 0.0949, s2.loss_cls: 0.0353, s2.acc: 94.8112, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0451, loss: 1.0564 2022-09-13 07:32:49,981 - mmdet - INFO - Epoch [10][4100/7330] lr: 1.000e-04, eta: 3 days, 1:26:16, time: 1.372, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.1923, s0.loss_cls: 0.1579, s0.acc: 94.2957, s0.loss_bbox: 0.0898, s0.loss_mask: 0.2033, s1.loss_cls: 0.0769, s1.acc: 94.4274, s1.loss_bbox: 0.0960, s1.loss_mask: 0.0959, s2.loss_cls: 0.0395, s2.acc: 94.1701, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0451, loss: 1.1113 2022-09-13 07:33:58,636 - mmdet - INFO - Epoch [10][4150/7330] lr: 1.000e-04, eta: 3 days, 1:25:09, time: 1.375, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0318, loss_semantic_seg: 0.1924, s0.loss_cls: 0.1637, s0.acc: 94.1682, s0.loss_bbox: 0.0889, s0.loss_mask: 0.2013, s1.loss_cls: 0.0789, s1.acc: 94.2857, s1.loss_bbox: 0.0965, s1.loss_mask: 0.0947, s2.loss_cls: 0.0402, s2.acc: 94.0913, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0446, loss: 1.1171 2022-09-13 07:35:07,238 - mmdet - INFO - Epoch [10][4200/7330] lr: 1.000e-04, eta: 3 days, 1:24:02, time: 1.372, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1978, s0.loss_cls: 0.1518, s0.acc: 94.5444, s0.loss_bbox: 0.0855, s0.loss_mask: 0.2031, s1.loss_cls: 0.0731, s1.acc: 94.7455, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0951, s2.loss_cls: 0.0371, s2.acc: 94.5652, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0445, loss: 1.0901 2022-09-13 07:36:14,370 - mmdet - INFO - Epoch [10][4250/7330] lr: 1.000e-04, eta: 3 days, 1:22:51, time: 1.342, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1971, s0.loss_cls: 0.1571, s0.acc: 94.4148, s0.loss_bbox: 0.0863, s0.loss_mask: 0.2070, s1.loss_cls: 0.0755, s1.acc: 94.6877, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0971, s2.loss_cls: 0.0384, s2.acc: 94.3757, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0455, loss: 1.1096 2022-09-13 07:37:22,449 - mmdet - INFO - Epoch [10][4300/7330] lr: 1.000e-04, eta: 3 days, 1:21:42, time: 1.362, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1912, s0.loss_cls: 0.1476, s0.acc: 94.6938, s0.loss_bbox: 0.0810, s0.loss_mask: 0.1937, s1.loss_cls: 0.0713, s1.acc: 94.8357, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0917, s2.loss_cls: 0.0364, s2.acc: 94.6031, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0432, loss: 1.0543 2022-09-13 07:38:30,943 - mmdet - INFO - Epoch [10][4350/7330] lr: 1.000e-04, eta: 3 days, 1:20:35, time: 1.370, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.2012, s0.loss_cls: 0.1591, s0.acc: 94.3225, s0.loss_bbox: 0.0885, s0.loss_mask: 0.2026, s1.loss_cls: 0.0759, s1.acc: 94.5266, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0952, s2.loss_cls: 0.0383, s2.acc: 94.3927, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0447, loss: 1.1148 2022-09-13 07:39:40,207 - mmdet - INFO - Epoch [10][4400/7330] lr: 1.000e-04, eta: 3 days, 1:19:29, time: 1.385, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1988, s0.loss_cls: 0.1463, s0.acc: 94.7234, s0.loss_bbox: 0.0818, s0.loss_mask: 0.1968, s1.loss_cls: 0.0700, s1.acc: 94.9200, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0928, s2.loss_cls: 0.0358, s2.acc: 94.7753, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0435, loss: 1.0656 2022-09-13 07:40:48,632 - mmdet - INFO - Epoch [10][4450/7330] lr: 1.000e-04, eta: 3 days, 1:18:22, time: 1.369, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1525, s0.acc: 94.5796, s0.loss_bbox: 0.0835, s0.loss_mask: 0.2008, s1.loss_cls: 0.0740, s1.acc: 94.6740, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0944, s2.loss_cls: 0.0375, s2.acc: 94.4978, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0446, loss: 1.0805 2022-09-13 07:41:57,222 - mmdet - INFO - Epoch [10][4500/7330] lr: 1.000e-04, eta: 3 days, 1:17:15, time: 1.372, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1951, s0.loss_cls: 0.1590, s0.acc: 94.3950, s0.loss_bbox: 0.0865, s0.loss_mask: 0.2037, s1.loss_cls: 0.0765, s1.acc: 94.5601, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0958, s2.loss_cls: 0.0387, s2.acc: 94.4081, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0449, loss: 1.1034 2022-09-13 07:43:05,043 - mmdet - INFO - Epoch [10][4550/7330] lr: 1.000e-04, eta: 3 days, 1:16:05, time: 1.356, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1897, s0.loss_cls: 0.1481, s0.acc: 94.8286, s0.loss_bbox: 0.0812, s0.loss_mask: 0.1982, s1.loss_cls: 0.0707, s1.acc: 95.0469, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0921, s2.loss_cls: 0.0364, s2.acc: 94.7564, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0432, loss: 1.0569 2022-09-13 07:44:13,449 - mmdet - INFO - Epoch [10][4600/7330] lr: 1.000e-04, eta: 3 days, 1:14:58, time: 1.368, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1851, s0.loss_cls: 0.1574, s0.acc: 94.3936, s0.loss_bbox: 0.0890, s0.loss_mask: 0.2044, s1.loss_cls: 0.0750, s1.acc: 94.5411, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0964, s2.loss_cls: 0.0386, s2.acc: 94.3888, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0453, loss: 1.1051 2022-09-13 07:45:22,051 - mmdet - INFO - Epoch [10][4650/7330] lr: 1.000e-04, eta: 3 days, 1:13:51, time: 1.372, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1955, s0.loss_cls: 0.1539, s0.acc: 94.5176, s0.loss_bbox: 0.0876, s0.loss_mask: 0.1960, s1.loss_cls: 0.0733, s1.acc: 94.7351, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0918, s2.loss_cls: 0.0376, s2.acc: 94.5201, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0430, loss: 1.0844 2022-09-13 07:46:30,205 - mmdet - INFO - Epoch [10][4700/7330] lr: 1.000e-04, eta: 3 days, 1:12:42, time: 1.363, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1495, s0.acc: 94.6387, s0.loss_bbox: 0.0858, s0.loss_mask: 0.1995, s1.loss_cls: 0.0717, s1.acc: 94.8636, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0945, s2.loss_cls: 0.0367, s2.acc: 94.6597, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0449, loss: 1.0724 2022-09-13 07:47:38,701 - mmdet - INFO - Epoch [10][4750/7330] lr: 1.000e-04, eta: 3 days, 1:11:35, time: 1.369, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1989, s0.loss_cls: 0.1524, s0.acc: 94.5244, s0.loss_bbox: 0.0825, s0.loss_mask: 0.1996, s1.loss_cls: 0.0726, s1.acc: 94.8750, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0943, s2.loss_cls: 0.0373, s2.acc: 94.6453, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0448, loss: 1.0870 2022-09-13 07:48:46,416 - mmdet - INFO - Epoch [10][4800/7330] lr: 1.000e-04, eta: 3 days, 1:10:25, time: 1.356, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.2029, s0.loss_cls: 0.1524, s0.acc: 94.6284, s0.loss_bbox: 0.0811, s0.loss_mask: 0.1955, s1.loss_cls: 0.0728, s1.acc: 94.8787, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0925, s2.loss_cls: 0.0366, s2.acc: 94.6830, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0438, loss: 1.0690 2022-09-13 07:49:54,228 - mmdet - INFO - Epoch [10][4850/7330] lr: 1.000e-04, eta: 3 days, 1:09:16, time: 1.356, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1924, s0.loss_cls: 0.1538, s0.acc: 94.4521, s0.loss_bbox: 0.0870, s0.loss_mask: 0.2058, s1.loss_cls: 0.0744, s1.acc: 94.5992, s1.loss_bbox: 0.0950, s1.loss_mask: 0.0970, s2.loss_cls: 0.0378, s2.acc: 94.4282, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0458, loss: 1.1020 2022-09-13 07:51:02,567 - mmdet - INFO - Epoch [10][4900/7330] lr: 1.000e-04, eta: 3 days, 1:08:08, time: 1.367, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1959, s0.loss_cls: 0.1497, s0.acc: 94.6519, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1936, s1.loss_cls: 0.0730, s1.acc: 94.7183, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0907, s2.loss_cls: 0.0375, s2.acc: 94.5576, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0427, loss: 1.0582 2022-09-13 07:52:09,197 - mmdet - INFO - Epoch [10][4950/7330] lr: 1.000e-04, eta: 3 days, 1:06:56, time: 1.333, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1960, s0.loss_cls: 0.1489, s0.acc: 94.6050, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2034, s1.loss_cls: 0.0712, s1.acc: 94.7735, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0954, s2.loss_cls: 0.0363, s2.acc: 94.6020, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0453, loss: 1.0875 2022-09-13 07:53:18,455 - mmdet - INFO - Epoch [10][5000/7330] lr: 1.000e-04, eta: 3 days, 1:05:50, time: 1.385, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1939, s0.loss_cls: 0.1539, s0.acc: 94.3870, s0.loss_bbox: 0.0853, s0.loss_mask: 0.2066, s1.loss_cls: 0.0745, s1.acc: 94.5715, s1.loss_bbox: 0.0954, s1.loss_mask: 0.0969, s2.loss_cls: 0.0379, s2.acc: 94.3247, s2.loss_bbox: 0.0608, s2.loss_mask: 0.0458, loss: 1.1037 2022-09-13 07:54:26,959 - mmdet - INFO - Epoch [10][5050/7330] lr: 1.000e-04, eta: 3 days, 1:04:43, time: 1.368, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1960, s0.loss_cls: 0.1458, s0.acc: 94.6931, s0.loss_bbox: 0.0837, s0.loss_mask: 0.1992, s1.loss_cls: 0.0697, s1.acc: 94.9461, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0930, s2.loss_cls: 0.0360, s2.acc: 94.6593, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0439, loss: 1.0724 2022-09-13 07:55:36,390 - mmdet - INFO - Epoch [10][5100/7330] lr: 1.000e-04, eta: 3 days, 1:03:38, time: 1.390, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1851, s0.loss_cls: 0.1478, s0.acc: 94.6479, s0.loss_bbox: 0.0798, s0.loss_mask: 0.2002, s1.loss_cls: 0.0699, s1.acc: 94.9825, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0950, s2.loss_cls: 0.0354, s2.acc: 94.7659, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0444, loss: 1.0538 2022-09-13 07:56:44,164 - mmdet - INFO - Epoch [10][5150/7330] lr: 1.000e-04, eta: 3 days, 1:02:29, time: 1.355, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.2021, s0.loss_cls: 0.1555, s0.acc: 94.5337, s0.loss_bbox: 0.0824, s0.loss_mask: 0.1970, s1.loss_cls: 0.0751, s1.acc: 94.7233, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0932, s2.loss_cls: 0.0387, s2.acc: 94.3227, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0441, loss: 1.0899 2022-09-13 07:57:51,605 - mmdet - INFO - Epoch [10][5200/7330] lr: 1.000e-04, eta: 3 days, 1:01:18, time: 1.349, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1916, s0.loss_cls: 0.1515, s0.acc: 94.6555, s0.loss_bbox: 0.0807, s0.loss_mask: 0.2022, s1.loss_cls: 0.0742, s1.acc: 94.8167, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0954, s2.loss_cls: 0.0382, s2.acc: 94.5429, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0450, loss: 1.0781 2022-09-13 07:58:59,502 - mmdet - INFO - Epoch [10][5250/7330] lr: 1.000e-04, eta: 3 days, 1:00:09, time: 1.358, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1932, s0.loss_cls: 0.1442, s0.acc: 94.8867, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1913, s1.loss_cls: 0.0686, s1.acc: 95.1479, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0905, s2.loss_cls: 0.0349, s2.acc: 94.9546, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0425, loss: 1.0337 2022-09-13 08:00:08,249 - mmdet - INFO - Epoch [10][5300/7330] lr: 1.000e-04, eta: 3 days, 0:59:03, time: 1.375, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1880, s0.loss_cls: 0.1535, s0.acc: 94.4751, s0.loss_bbox: 0.0831, s0.loss_mask: 0.2022, s1.loss_cls: 0.0750, s1.acc: 94.6158, s1.loss_bbox: 0.0907, s1.loss_mask: 0.0948, s2.loss_cls: 0.0375, s2.acc: 94.5321, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0444, loss: 1.0801 2022-09-13 08:01:16,246 - mmdet - INFO - Epoch [10][5350/7330] lr: 1.000e-04, eta: 3 days, 0:57:54, time: 1.360, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1851, s0.loss_cls: 0.1470, s0.acc: 94.6885, s0.loss_bbox: 0.0817, s0.loss_mask: 0.2057, s1.loss_cls: 0.0719, s1.acc: 94.8896, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0978, s2.loss_cls: 0.0373, s2.acc: 94.5844, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0460, loss: 1.0788 2022-09-13 08:02:24,503 - mmdet - INFO - Epoch [10][5400/7330] lr: 1.000e-04, eta: 3 days, 0:56:46, time: 1.365, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1936, s0.loss_cls: 0.1547, s0.acc: 94.5515, s0.loss_bbox: 0.0825, s0.loss_mask: 0.2012, s1.loss_cls: 0.0746, s1.acc: 94.7000, s1.loss_bbox: 0.0909, s1.loss_mask: 0.0946, s2.loss_cls: 0.0385, s2.acc: 94.5253, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0442, loss: 1.0841 2022-09-13 08:03:32,343 - mmdet - INFO - Epoch [10][5450/7330] lr: 1.000e-04, eta: 3 days, 0:55:36, time: 1.355, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1969, s0.loss_cls: 0.1571, s0.acc: 94.3850, s0.loss_bbox: 0.0896, s0.loss_mask: 0.2051, s1.loss_cls: 0.0753, s1.acc: 94.5917, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0954, s2.loss_cls: 0.0386, s2.acc: 94.3858, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0444, loss: 1.1098 2022-09-13 08:04:39,900 - mmdet - INFO - Epoch [10][5500/7330] lr: 1.000e-04, eta: 3 days, 0:54:27, time: 1.353, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.2033, s0.loss_cls: 0.1539, s0.acc: 94.5127, s0.loss_bbox: 0.0821, s0.loss_mask: 0.2036, s1.loss_cls: 0.0742, s1.acc: 94.7588, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0960, s2.loss_cls: 0.0372, s2.acc: 94.5490, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0450, loss: 1.0914 2022-09-13 08:05:48,418 - mmdet - INFO - Epoch [10][5550/7330] lr: 1.000e-04, eta: 3 days, 0:53:19, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0317, loss_semantic_seg: 0.1969, s0.loss_cls: 0.1513, s0.acc: 94.6101, s0.loss_bbox: 0.0831, s0.loss_mask: 0.2047, s1.loss_cls: 0.0725, s1.acc: 94.7801, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0956, s2.loss_cls: 0.0373, s2.acc: 94.5258, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0450, loss: 1.0888 2022-09-13 08:06:57,110 - mmdet - INFO - Epoch [10][5600/7330] lr: 1.000e-04, eta: 3 days, 0:52:12, time: 1.374, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.1875, s0.loss_cls: 0.1606, s0.acc: 94.2283, s0.loss_bbox: 0.0905, s0.loss_mask: 0.2090, s1.loss_cls: 0.0765, s1.acc: 94.4996, s1.loss_bbox: 0.0974, s1.loss_mask: 0.0979, s2.loss_cls: 0.0393, s2.acc: 94.1983, s2.loss_bbox: 0.0617, s2.loss_mask: 0.0458, loss: 1.1211 2022-09-13 08:08:05,288 - mmdet - INFO - Epoch [10][5650/7330] lr: 1.000e-04, eta: 3 days, 0:51:04, time: 1.363, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1947, s0.loss_cls: 0.1537, s0.acc: 94.6133, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1963, s1.loss_cls: 0.0733, s1.acc: 94.8197, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0930, s2.loss_cls: 0.0372, s2.acc: 94.5463, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0437, loss: 1.0728 2022-09-13 08:09:13,112 - mmdet - INFO - Epoch [10][5700/7330] lr: 1.000e-04, eta: 3 days, 0:49:55, time: 1.357, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1894, s0.loss_cls: 0.1548, s0.acc: 94.5142, s0.loss_bbox: 0.0844, s0.loss_mask: 0.2023, s1.loss_cls: 0.0744, s1.acc: 94.7949, s1.loss_bbox: 0.0920, s1.loss_mask: 0.0952, s2.loss_cls: 0.0372, s2.acc: 94.6105, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0446, loss: 1.0830 2022-09-13 08:10:20,739 - mmdet - INFO - Epoch [10][5750/7330] lr: 1.000e-04, eta: 3 days, 0:48:45, time: 1.351, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1477, s0.acc: 94.7061, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1999, s1.loss_cls: 0.0714, s1.acc: 94.8825, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0935, s2.loss_cls: 0.0362, s2.acc: 94.7961, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0441, loss: 1.0629 2022-09-13 08:11:29,030 - mmdet - INFO - Epoch [10][5800/7330] lr: 1.000e-04, eta: 3 days, 0:47:37, time: 1.368, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1994, s0.loss_cls: 0.1565, s0.acc: 94.5515, s0.loss_bbox: 0.0880, s0.loss_mask: 0.2080, s1.loss_cls: 0.0749, s1.acc: 94.7215, s1.loss_bbox: 0.0977, s1.loss_mask: 0.0974, s2.loss_cls: 0.0374, s2.acc: 94.6335, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0457, loss: 1.1176 2022-09-13 08:12:36,052 - mmdet - INFO - Epoch [10][5850/7330] lr: 1.000e-04, eta: 3 days, 0:46:26, time: 1.340, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1901, s0.loss_cls: 0.1468, s0.acc: 94.8176, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1927, s1.loss_cls: 0.0693, s1.acc: 95.0565, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0913, s2.loss_cls: 0.0359, s2.acc: 94.8082, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0434, loss: 1.0462 2022-09-13 08:13:44,841 - mmdet - INFO - Epoch [10][5900/7330] lr: 1.000e-04, eta: 3 days, 0:45:19, time: 1.376, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0329, loss_semantic_seg: 0.2020, s0.loss_cls: 0.1643, s0.acc: 94.1685, s0.loss_bbox: 0.0889, s0.loss_mask: 0.2040, s1.loss_cls: 0.0788, s1.acc: 94.4757, s1.loss_bbox: 0.0959, s1.loss_mask: 0.0953, s2.loss_cls: 0.0400, s2.acc: 94.2323, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0449, loss: 1.1334 2022-09-13 08:14:52,574 - mmdet - INFO - Epoch [10][5950/7330] lr: 1.000e-04, eta: 3 days, 0:44:10, time: 1.355, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1922, s0.loss_cls: 0.1479, s0.acc: 94.7190, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1978, s1.loss_cls: 0.0707, s1.acc: 95.0110, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0930, s2.loss_cls: 0.0358, s2.acc: 94.8538, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0437, loss: 1.0531 2022-09-13 08:15:59,979 - mmdet - INFO - Epoch [10][6000/7330] lr: 1.000e-04, eta: 3 days, 0:42:59, time: 1.348, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1990, s0.loss_cls: 0.1555, s0.acc: 94.4087, s0.loss_bbox: 0.0842, s0.loss_mask: 0.1988, s1.loss_cls: 0.0743, s1.acc: 94.5825, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0938, s2.loss_cls: 0.0382, s2.acc: 94.3256, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0439, loss: 1.0935 2022-09-13 08:17:08,118 - mmdet - INFO - Epoch [10][6050/7330] lr: 1.000e-04, eta: 3 days, 0:41:51, time: 1.363, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1962, s0.loss_cls: 0.1547, s0.acc: 94.5286, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1978, s1.loss_cls: 0.0750, s1.acc: 94.6876, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0933, s2.loss_cls: 0.0376, s2.acc: 94.5327, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0440, loss: 1.0834 2022-09-13 08:18:14,969 - mmdet - INFO - Epoch [10][6100/7330] lr: 1.000e-04, eta: 3 days, 0:40:39, time: 1.337, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1931, s0.loss_cls: 0.1510, s0.acc: 94.5564, s0.loss_bbox: 0.0839, s0.loss_mask: 0.2005, s1.loss_cls: 0.0730, s1.acc: 94.7066, s1.loss_bbox: 0.0929, s1.loss_mask: 0.0937, s2.loss_cls: 0.0368, s2.acc: 94.5657, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0440, loss: 1.0785 2022-09-13 08:19:23,207 - mmdet - INFO - Epoch [10][6150/7330] lr: 1.000e-04, eta: 3 days, 0:39:31, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1978, s0.loss_cls: 0.1524, s0.acc: 94.5007, s0.loss_bbox: 0.0864, s0.loss_mask: 0.2091, s1.loss_cls: 0.0726, s1.acc: 94.7444, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0984, s2.loss_cls: 0.0369, s2.acc: 94.5049, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0461, loss: 1.1057 2022-09-13 08:20:31,294 - mmdet - INFO - Epoch [10][6200/7330] lr: 1.000e-04, eta: 3 days, 0:38:22, time: 1.360, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1977, s0.loss_cls: 0.1536, s0.acc: 94.5596, s0.loss_bbox: 0.0852, s0.loss_mask: 0.2082, s1.loss_cls: 0.0736, s1.acc: 94.7908, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0971, s2.loss_cls: 0.0375, s2.acc: 94.5741, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0453, loss: 1.1039 2022-09-13 08:21:39,383 - mmdet - INFO - Epoch [10][6250/7330] lr: 1.000e-04, eta: 3 days, 0:37:14, time: 1.363, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1926, s0.loss_cls: 0.1531, s0.acc: 94.4912, s0.loss_bbox: 0.0821, s0.loss_mask: 0.1939, s1.loss_cls: 0.0743, s1.acc: 94.6474, s1.loss_bbox: 0.0898, s1.loss_mask: 0.0913, s2.loss_cls: 0.0378, s2.acc: 94.4734, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0428, loss: 1.0664 2022-09-13 08:22:47,210 - mmdet - INFO - Epoch [10][6300/7330] lr: 1.000e-04, eta: 3 days, 0:36:05, time: 1.356, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1952, s0.loss_cls: 0.1596, s0.acc: 94.3857, s0.loss_bbox: 0.0839, s0.loss_mask: 0.1975, s1.loss_cls: 0.0780, s1.acc: 94.4970, s1.loss_bbox: 0.0920, s1.loss_mask: 0.0926, s2.loss_cls: 0.0391, s2.acc: 94.3377, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0434, loss: 1.0910 2022-09-13 08:23:54,825 - mmdet - INFO - Epoch [10][6350/7330] lr: 1.000e-04, eta: 3 days, 0:34:55, time: 1.352, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1874, s0.loss_cls: 0.1507, s0.acc: 94.5359, s0.loss_bbox: 0.0842, s0.loss_mask: 0.2042, s1.loss_cls: 0.0728, s1.acc: 94.7801, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0965, s2.loss_cls: 0.0370, s2.acc: 94.4802, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0451, loss: 1.0834 2022-09-13 08:25:03,449 - mmdet - INFO - Epoch [10][6400/7330] lr: 1.000e-04, eta: 3 days, 0:33:48, time: 1.373, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1916, s0.loss_cls: 0.1503, s0.acc: 94.7488, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1958, s1.loss_cls: 0.0719, s1.acc: 94.9362, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0928, s2.loss_cls: 0.0364, s2.acc: 94.7832, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0433, loss: 1.0463 2022-09-13 08:26:13,215 - mmdet - INFO - Epoch [10][6450/7330] lr: 1.000e-04, eta: 3 days, 0:32:44, time: 1.395, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1880, s0.loss_cls: 0.1535, s0.acc: 94.4648, s0.loss_bbox: 0.0839, s0.loss_mask: 0.2008, s1.loss_cls: 0.0744, s1.acc: 94.7319, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0942, s2.loss_cls: 0.0377, s2.acc: 94.5128, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0442, loss: 1.0761 2022-09-13 08:27:21,479 - mmdet - INFO - Epoch [10][6500/7330] lr: 1.000e-04, eta: 3 days, 0:31:36, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1961, s0.loss_cls: 0.1513, s0.acc: 94.6003, s0.loss_bbox: 0.0816, s0.loss_mask: 0.1976, s1.loss_cls: 0.0716, s1.acc: 94.8560, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0932, s2.loss_cls: 0.0366, s2.acc: 94.6474, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0438, loss: 1.0724 2022-09-13 08:28:29,471 - mmdet - INFO - Epoch [10][6550/7330] lr: 1.000e-04, eta: 3 days, 0:30:27, time: 1.360, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1897, s0.loss_cls: 0.1474, s0.acc: 94.7129, s0.loss_bbox: 0.0821, s0.loss_mask: 0.1972, s1.loss_cls: 0.0707, s1.acc: 94.8916, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0927, s2.loss_cls: 0.0366, s2.acc: 94.5788, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0438, loss: 1.0625 2022-09-13 08:29:38,089 - mmdet - INFO - Epoch [10][6600/7330] lr: 1.000e-04, eta: 3 days, 0:29:20, time: 1.372, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.2021, s0.loss_cls: 0.1582, s0.acc: 94.4043, s0.loss_bbox: 0.0840, s0.loss_mask: 0.2055, s1.loss_cls: 0.0759, s1.acc: 94.6353, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0960, s2.loss_cls: 0.0388, s2.acc: 94.4380, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0448, loss: 1.1080 2022-09-13 08:30:46,094 - mmdet - INFO - Epoch [10][6650/7330] lr: 1.000e-04, eta: 3 days, 0:28:11, time: 1.360, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1809, s0.loss_cls: 0.1501, s0.acc: 94.6284, s0.loss_bbox: 0.0847, s0.loss_mask: 0.1989, s1.loss_cls: 0.0708, s1.acc: 94.9704, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0933, s2.loss_cls: 0.0359, s2.acc: 94.8186, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0441, loss: 1.0617 2022-09-13 08:31:55,344 - mmdet - INFO - Epoch [10][6700/7330] lr: 1.000e-04, eta: 3 days, 0:27:06, time: 1.385, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1862, s0.loss_cls: 0.1513, s0.acc: 94.5398, s0.loss_bbox: 0.0850, s0.loss_mask: 0.2020, s1.loss_cls: 0.0726, s1.acc: 94.7052, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0948, s2.loss_cls: 0.0366, s2.acc: 94.5566, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0447, loss: 1.0772 2022-09-13 08:33:03,373 - mmdet - INFO - Epoch [10][6750/7330] lr: 1.000e-04, eta: 3 days, 0:25:56, time: 1.355, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.2015, s0.loss_cls: 0.1566, s0.acc: 94.4233, s0.loss_bbox: 0.0890, s0.loss_mask: 0.2050, s1.loss_cls: 0.0753, s1.acc: 94.6345, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0960, s2.loss_cls: 0.0383, s2.acc: 94.4106, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0450, loss: 1.1171 2022-09-13 08:34:14,059 - mmdet - INFO - Epoch [10][6800/7330] lr: 1.000e-04, eta: 3 days, 0:24:55, time: 1.419, data_time: 0.048, memory: 64764, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1944, s0.loss_cls: 0.1505, s0.acc: 94.6028, s0.loss_bbox: 0.0831, s0.loss_mask: 0.1999, s1.loss_cls: 0.0718, s1.acc: 94.9744, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0938, s2.loss_cls: 0.0369, s2.acc: 94.7008, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0442, loss: 1.0798 2022-09-13 08:35:23,295 - mmdet - INFO - Epoch [10][6850/7330] lr: 1.000e-04, eta: 3 days, 0:23:50, time: 1.385, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1468, s0.acc: 94.7610, s0.loss_bbox: 0.0786, s0.loss_mask: 0.1968, s1.loss_cls: 0.0702, s1.acc: 94.9667, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0923, s2.loss_cls: 0.0357, s2.acc: 94.8226, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0436, loss: 1.0506 2022-09-13 08:36:31,130 - mmdet - INFO - Epoch [10][6900/7330] lr: 1.000e-04, eta: 3 days, 0:22:41, time: 1.356, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1965, s0.loss_cls: 0.1535, s0.acc: 94.4600, s0.loss_bbox: 0.0861, s0.loss_mask: 0.2065, s1.loss_cls: 0.0742, s1.acc: 94.5932, s1.loss_bbox: 0.0946, s1.loss_mask: 0.0966, s2.loss_cls: 0.0377, s2.acc: 94.3573, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0454, loss: 1.1025 2022-09-13 08:37:39,838 - mmdet - INFO - Epoch [10][6950/7330] lr: 1.000e-04, eta: 3 days, 0:21:34, time: 1.374, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1849, s0.loss_cls: 0.1514, s0.acc: 94.6252, s0.loss_bbox: 0.0828, s0.loss_mask: 0.2033, s1.loss_cls: 0.0714, s1.acc: 94.9173, s1.loss_bbox: 0.0895, s1.loss_mask: 0.0949, s2.loss_cls: 0.0360, s2.acc: 94.8259, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0446, loss: 1.0669 2022-09-13 08:38:46,809 - mmdet - INFO - Epoch [10][7000/7330] lr: 1.000e-04, eta: 3 days, 0:20:22, time: 1.339, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1927, s0.loss_cls: 0.1491, s0.acc: 94.7046, s0.loss_bbox: 0.0815, s0.loss_mask: 0.2017, s1.loss_cls: 0.0731, s1.acc: 94.7981, s1.loss_bbox: 0.0880, s1.loss_mask: 0.0948, s2.loss_cls: 0.0375, s2.acc: 94.6049, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0448, loss: 1.0704 2022-09-13 08:39:54,724 - mmdet - INFO - Epoch [10][7050/7330] lr: 1.000e-04, eta: 3 days, 0:19:14, time: 1.359, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1923, s0.loss_cls: 0.1502, s0.acc: 94.5435, s0.loss_bbox: 0.0832, s0.loss_mask: 0.1994, s1.loss_cls: 0.0723, s1.acc: 94.7222, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0941, s2.loss_cls: 0.0370, s2.acc: 94.5353, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0440, loss: 1.0739 2022-09-13 08:41:03,435 - mmdet - INFO - Epoch [10][7100/7330] lr: 1.000e-04, eta: 3 days, 0:18:07, time: 1.374, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1819, s0.loss_cls: 0.1545, s0.acc: 94.4490, s0.loss_bbox: 0.0844, s0.loss_mask: 0.2044, s1.loss_cls: 0.0745, s1.acc: 94.6457, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0969, s2.loss_cls: 0.0384, s2.acc: 94.3770, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0453, loss: 1.0861 2022-09-13 08:42:13,458 - mmdet - INFO - Epoch [10][7150/7330] lr: 1.000e-04, eta: 3 days, 0:17:03, time: 1.400, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1942, s0.loss_cls: 0.1514, s0.acc: 94.6863, s0.loss_bbox: 0.0844, s0.loss_mask: 0.1983, s1.loss_cls: 0.0724, s1.acc: 94.9522, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0932, s2.loss_cls: 0.0368, s2.acc: 94.7105, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0438, loss: 1.0760 2022-09-13 08:43:22,474 - mmdet - INFO - Epoch [10][7200/7330] lr: 1.000e-04, eta: 3 days, 0:15:57, time: 1.381, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.1962, s0.loss_cls: 0.1533, s0.acc: 94.5330, s0.loss_bbox: 0.0855, s0.loss_mask: 0.2023, s1.loss_cls: 0.0738, s1.acc: 94.7140, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0948, s2.loss_cls: 0.0373, s2.acc: 94.5477, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0448, loss: 1.0908 2022-09-13 08:44:30,184 - mmdet - INFO - Epoch [10][7250/7330] lr: 1.000e-04, eta: 3 days, 0:14:48, time: 1.354, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1900, s0.loss_cls: 0.1482, s0.acc: 94.6858, s0.loss_bbox: 0.0850, s0.loss_mask: 0.2084, s1.loss_cls: 0.0709, s1.acc: 94.9028, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0978, s2.loss_cls: 0.0361, s2.acc: 94.6527, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0460, loss: 1.0846 2022-09-13 08:45:37,808 - mmdet - INFO - Epoch [10][7300/7330] lr: 1.000e-04, eta: 3 days, 0:13:38, time: 1.352, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1986, s0.loss_cls: 0.1560, s0.acc: 94.4438, s0.loss_bbox: 0.0855, s0.loss_mask: 0.2026, s1.loss_cls: 0.0744, s1.acc: 94.7048, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0953, s2.loss_cls: 0.0383, s2.acc: 94.3759, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0446, loss: 1.0987 2022-09-13 08:46:28,478 - mmdet - INFO - Saving checkpoint at 10 epochs 2022-09-13 08:50:00,525 - mmdet - INFO - Evaluating bbox... 2022-09-13 08:51:05,489 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.553 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.741 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.614 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.408 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.594 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.664 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.726 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.726 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.726 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.585 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.766 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.845 2022-09-13 08:51:05,489 - mmdet - INFO - Evaluating segm... 2022-09-13 08:52:23,143 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.485 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.722 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.530 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.300 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.523 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.654 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.635 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.635 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.635 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.479 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.671 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.773 2022-09-13 08:52:24,602 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 08:52:24,603 - mmdet - INFO - Epoch(val) [10][313] bbox_mAP: 0.5530, bbox_mAP_50: 0.7410, bbox_mAP_75: 0.6140, bbox_mAP_s: 0.4080, bbox_mAP_m: 0.5940, bbox_mAP_l: 0.6640, bbox_mAP_copypaste: 0.553 0.741 0.614 0.408 0.594 0.664, segm_mAP: 0.4850, segm_mAP_50: 0.7220, segm_mAP_75: 0.5300, segm_mAP_s: 0.3000, segm_mAP_m: 0.5230, segm_mAP_l: 0.6540, segm_mAP_copypaste: 0.485 0.722 0.530 0.300 0.523 0.654 2022-09-13 08:55:26,201 - mmdet - INFO - Epoch [11][50/7330] lr: 1.000e-04, eta: 3 days, 0:14:57, time: 3.630, data_time: 2.246, memory: 64764, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1917, s0.loss_cls: 0.1551, s0.acc: 94.4797, s0.loss_bbox: 0.0853, s0.loss_mask: 0.2041, s1.loss_cls: 0.0743, s1.acc: 94.7352, s1.loss_bbox: 0.0935, s1.loss_mask: 0.0962, s2.loss_cls: 0.0383, s2.acc: 94.3879, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0452, loss: 1.0973 2022-09-13 08:56:35,567 - mmdet - INFO - Epoch [11][100/7330] lr: 1.000e-04, eta: 3 days, 0:13:51, time: 1.387, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1421, s0.acc: 94.9922, s0.loss_bbox: 0.0793, s0.loss_mask: 0.2001, s1.loss_cls: 0.0679, s1.acc: 95.2036, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0942, s2.loss_cls: 0.0346, s2.acc: 94.9534, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0447, loss: 1.0379 2022-09-13 08:57:44,491 - mmdet - INFO - Epoch [11][150/7330] lr: 1.000e-04, eta: 3 days, 0:12:45, time: 1.378, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1909, s0.loss_cls: 0.1536, s0.acc: 94.3662, s0.loss_bbox: 0.0895, s0.loss_mask: 0.2047, s1.loss_cls: 0.0735, s1.acc: 94.6349, s1.loss_bbox: 0.0976, s1.loss_mask: 0.0956, s2.loss_cls: 0.0376, s2.acc: 94.4186, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0449, loss: 1.1019 2022-09-13 08:58:52,497 - mmdet - INFO - Epoch [11][200/7330] lr: 1.000e-04, eta: 3 days, 0:11:36, time: 1.360, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.1952, s0.loss_cls: 0.1527, s0.acc: 94.5186, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2061, s1.loss_cls: 0.0733, s1.acc: 94.7832, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0959, s2.loss_cls: 0.0375, s2.acc: 94.5409, s2.loss_bbox: 0.0610, s2.loss_mask: 0.0450, loss: 1.1021 2022-09-13 09:00:00,567 - mmdet - INFO - Epoch [11][250/7330] lr: 1.000e-04, eta: 3 days, 0:10:27, time: 1.361, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0314, loss_semantic_seg: 0.1903, s0.loss_cls: 0.1572, s0.acc: 94.2974, s0.loss_bbox: 0.0862, s0.loss_mask: 0.1969, s1.loss_cls: 0.0749, s1.acc: 94.5782, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0915, s2.loss_cls: 0.0376, s2.acc: 94.4289, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0430, loss: 1.0836 2022-09-13 09:01:08,594 - mmdet - INFO - Epoch [11][300/7330] lr: 1.000e-04, eta: 3 days, 0:09:18, time: 1.361, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1847, s0.loss_cls: 0.1497, s0.acc: 94.6697, s0.loss_bbox: 0.0838, s0.loss_mask: 0.1979, s1.loss_cls: 0.0708, s1.acc: 94.9112, s1.loss_bbox: 0.0920, s1.loss_mask: 0.0926, s2.loss_cls: 0.0363, s2.acc: 94.7758, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0432, loss: 1.0618 2022-09-13 09:02:16,226 - mmdet - INFO - Epoch [11][350/7330] lr: 1.000e-04, eta: 3 days, 0:08:08, time: 1.353, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1900, s0.loss_cls: 0.1345, s0.acc: 95.1770, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1923, s1.loss_cls: 0.0638, s1.acc: 95.5319, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0905, s2.loss_cls: 0.0330, s2.acc: 95.2390, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0431, loss: 1.0109 2022-09-13 09:03:24,220 - mmdet - INFO - Epoch [11][400/7330] lr: 1.000e-04, eta: 3 days, 0:06:59, time: 1.360, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1980, s0.loss_cls: 0.1534, s0.acc: 94.5442, s0.loss_bbox: 0.0820, s0.loss_mask: 0.2025, s1.loss_cls: 0.0736, s1.acc: 94.7710, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0941, s2.loss_cls: 0.0375, s2.acc: 94.6637, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0441, loss: 1.0822 2022-09-13 09:04:31,904 - mmdet - INFO - Epoch [11][450/7330] lr: 1.000e-04, eta: 3 days, 0:05:49, time: 1.350, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1813, s0.loss_cls: 0.1406, s0.acc: 94.9211, s0.loss_bbox: 0.0764, s0.loss_mask: 0.2008, s1.loss_cls: 0.0676, s1.acc: 95.1146, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0947, s2.loss_cls: 0.0345, s2.acc: 94.9050, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0448, loss: 1.0308 2022-09-13 09:05:39,940 - mmdet - INFO - Epoch [11][500/7330] lr: 1.000e-04, eta: 3 days, 0:04:41, time: 1.362, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1918, s0.loss_cls: 0.1446, s0.acc: 94.7429, s0.loss_bbox: 0.0803, s0.loss_mask: 0.1953, s1.loss_cls: 0.0699, s1.acc: 94.8758, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0914, s2.loss_cls: 0.0358, s2.acc: 94.6947, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0431, loss: 1.0483 2022-09-13 09:06:48,097 - mmdet - INFO - Epoch [11][550/7330] lr: 1.000e-04, eta: 3 days, 0:03:32, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1481, s0.acc: 94.6902, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1955, s1.loss_cls: 0.0707, s1.acc: 94.8624, s1.loss_bbox: 0.0880, s1.loss_mask: 0.0922, s2.loss_cls: 0.0357, s2.acc: 94.7213, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0435, loss: 1.0570 2022-09-13 09:07:55,819 - mmdet - INFO - Epoch [11][600/7330] lr: 1.000e-04, eta: 3 days, 0:02:23, time: 1.354, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1859, s0.loss_cls: 0.1395, s0.acc: 94.9922, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1953, s1.loss_cls: 0.0673, s1.acc: 95.1588, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0919, s2.loss_cls: 0.0342, s2.acc: 94.9434, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0436, loss: 1.0355 2022-09-13 09:09:03,067 - mmdet - INFO - Epoch [11][650/7330] lr: 1.000e-04, eta: 3 days, 0:01:12, time: 1.345, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1874, s0.loss_cls: 0.1434, s0.acc: 94.9226, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1999, s1.loss_cls: 0.0684, s1.acc: 95.1548, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0938, s2.loss_cls: 0.0342, s2.acc: 94.9341, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0445, loss: 1.0424 2022-09-13 09:10:11,348 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 09:10:11,348 - mmdet - INFO - Epoch [11][700/7330] lr: 1.000e-04, eta: 3 days, 0:00:04, time: 1.366, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1930, s0.loss_cls: 0.1389, s0.acc: 95.0315, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1975, s1.loss_cls: 0.0668, s1.acc: 95.2107, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0918, s2.loss_cls: 0.0336, s2.acc: 95.1149, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0434, loss: 1.0275 2022-09-13 09:11:18,854 - mmdet - INFO - Epoch [11][750/7330] lr: 1.000e-04, eta: 2 days, 23:58:53, time: 1.348, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1873, s0.loss_cls: 0.1396, s0.acc: 94.9712, s0.loss_bbox: 0.0796, s0.loss_mask: 0.2002, s1.loss_cls: 0.0664, s1.acc: 95.1851, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0932, s2.loss_cls: 0.0335, s2.acc: 95.1221, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0436, loss: 1.0340 2022-09-13 09:12:28,068 - mmdet - INFO - Epoch [11][800/7330] lr: 1.000e-04, eta: 2 days, 23:57:48, time: 1.386, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1957, s0.loss_cls: 0.1508, s0.acc: 94.6702, s0.loss_bbox: 0.0833, s0.loss_mask: 0.1964, s1.loss_cls: 0.0717, s1.acc: 94.9627, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0927, s2.loss_cls: 0.0362, s2.acc: 94.8135, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0435, loss: 1.0716 2022-09-13 09:13:35,773 - mmdet - INFO - Epoch [11][850/7330] lr: 1.000e-04, eta: 2 days, 23:56:38, time: 1.354, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1833, s0.loss_cls: 0.1447, s0.acc: 94.7542, s0.loss_bbox: 0.0815, s0.loss_mask: 0.2036, s1.loss_cls: 0.0689, s1.acc: 95.0400, s1.loss_bbox: 0.0906, s1.loss_mask: 0.0956, s2.loss_cls: 0.0354, s2.acc: 94.8103, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0448, loss: 1.0539 2022-09-13 09:14:43,432 - mmdet - INFO - Epoch [11][900/7330] lr: 1.000e-04, eta: 2 days, 23:55:28, time: 1.353, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1813, s0.loss_cls: 0.1346, s0.acc: 95.1506, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1943, s1.loss_cls: 0.0636, s1.acc: 95.3844, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0916, s2.loss_cls: 0.0326, s2.acc: 95.1584, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0431, loss: 1.0068 2022-09-13 09:15:51,727 - mmdet - INFO - Epoch [11][950/7330] lr: 1.000e-04, eta: 2 days, 23:54:20, time: 1.366, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1860, s0.loss_cls: 0.1437, s0.acc: 94.7937, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2055, s1.loss_cls: 0.0680, s1.acc: 95.1071, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0970, s2.loss_cls: 0.0344, s2.acc: 94.8992, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0458, loss: 1.0675 2022-09-13 09:16:59,742 - mmdet - INFO - Epoch [11][1000/7330] lr: 1.000e-04, eta: 2 days, 23:53:11, time: 1.360, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1933, s0.loss_cls: 0.1459, s0.acc: 94.7458, s0.loss_bbox: 0.0819, s0.loss_mask: 0.1998, s1.loss_cls: 0.0695, s1.acc: 95.0222, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0934, s2.loss_cls: 0.0346, s2.acc: 94.9185, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0438, loss: 1.0573 2022-09-13 09:18:07,427 - mmdet - INFO - Epoch [11][1050/7330] lr: 1.000e-04, eta: 2 days, 23:52:02, time: 1.354, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1497, s0.acc: 94.7393, s0.loss_bbox: 0.0817, s0.loss_mask: 0.2051, s1.loss_cls: 0.0710, s1.acc: 94.9659, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0960, s2.loss_cls: 0.0358, s2.acc: 94.7522, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0453, loss: 1.0739 2022-09-13 09:19:14,593 - mmdet - INFO - Epoch [11][1100/7330] lr: 1.000e-04, eta: 2 days, 23:50:51, time: 1.343, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1847, s0.loss_cls: 0.1450, s0.acc: 94.8230, s0.loss_bbox: 0.0811, s0.loss_mask: 0.2039, s1.loss_cls: 0.0698, s1.acc: 94.9451, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0967, s2.loss_cls: 0.0357, s2.acc: 94.7112, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0455, loss: 1.0614 2022-09-13 09:20:23,427 - mmdet - INFO - Epoch [11][1150/7330] lr: 1.000e-04, eta: 2 days, 23:49:44, time: 1.377, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1904, s0.loss_cls: 0.1411, s0.acc: 94.8623, s0.loss_bbox: 0.0807, s0.loss_mask: 0.1983, s1.loss_cls: 0.0683, s1.acc: 95.0660, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0931, s2.loss_cls: 0.0345, s2.acc: 94.9370, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0437, loss: 1.0472 2022-09-13 09:21:32,047 - mmdet - INFO - Epoch [11][1200/7330] lr: 1.000e-04, eta: 2 days, 23:48:36, time: 1.371, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0319, loss_semantic_seg: 0.1826, s0.loss_cls: 0.1469, s0.acc: 94.6868, s0.loss_bbox: 0.0817, s0.loss_mask: 0.2007, s1.loss_cls: 0.0704, s1.acc: 94.9605, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0941, s2.loss_cls: 0.0350, s2.acc: 94.8576, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0447, loss: 1.0619 2022-09-13 09:22:40,397 - mmdet - INFO - Epoch [11][1250/7330] lr: 1.000e-04, eta: 2 days, 23:47:28, time: 1.368, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1836, s0.loss_cls: 0.1518, s0.acc: 94.5981, s0.loss_bbox: 0.0831, s0.loss_mask: 0.1965, s1.loss_cls: 0.0730, s1.acc: 94.8190, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0926, s2.loss_cls: 0.0364, s2.acc: 94.7307, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0435, loss: 1.0590 2022-09-13 09:23:48,621 - mmdet - INFO - Epoch [11][1300/7330] lr: 1.000e-04, eta: 2 days, 23:46:20, time: 1.364, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1841, s0.loss_cls: 0.1477, s0.acc: 94.6775, s0.loss_bbox: 0.0800, s0.loss_mask: 0.2031, s1.loss_cls: 0.0702, s1.acc: 94.9389, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0967, s2.loss_cls: 0.0353, s2.acc: 94.7920, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0455, loss: 1.0575 2022-09-13 09:24:56,682 - mmdet - INFO - Epoch [11][1350/7330] lr: 1.000e-04, eta: 2 days, 23:45:11, time: 1.361, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1864, s0.loss_cls: 0.1481, s0.acc: 94.6326, s0.loss_bbox: 0.0846, s0.loss_mask: 0.1970, s1.loss_cls: 0.0699, s1.acc: 94.9542, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0920, s2.loss_cls: 0.0355, s2.acc: 94.7225, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0433, loss: 1.0619 2022-09-13 09:26:04,534 - mmdet - INFO - Epoch [11][1400/7330] lr: 1.000e-04, eta: 2 days, 23:44:02, time: 1.357, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1889, s0.loss_cls: 0.1481, s0.acc: 94.6941, s0.loss_bbox: 0.0847, s0.loss_mask: 0.2005, s1.loss_cls: 0.0697, s1.acc: 94.9104, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0937, s2.loss_cls: 0.0352, s2.acc: 94.7976, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0440, loss: 1.0687 2022-09-13 09:27:13,089 - mmdet - INFO - Epoch [11][1450/7330] lr: 1.000e-04, eta: 2 days, 23:42:55, time: 1.371, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1820, s0.loss_cls: 0.1418, s0.acc: 94.9146, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1976, s1.loss_cls: 0.0667, s1.acc: 95.2417, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0927, s2.loss_cls: 0.0342, s2.acc: 94.9861, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0439, loss: 1.0342 2022-09-13 09:28:21,000 - mmdet - INFO - Epoch [11][1500/7330] lr: 1.000e-04, eta: 2 days, 23:41:46, time: 1.358, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1856, s0.loss_cls: 0.1480, s0.acc: 94.6448, s0.loss_bbox: 0.0825, s0.loss_mask: 0.2005, s1.loss_cls: 0.0698, s1.acc: 94.9212, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0949, s2.loss_cls: 0.0356, s2.acc: 94.7227, s2.loss_bbox: 0.0590, s2.loss_mask: 0.0445, loss: 1.0648 2022-09-13 09:29:29,310 - mmdet - INFO - Epoch [11][1550/7330] lr: 1.000e-04, eta: 2 days, 23:40:37, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1842, s0.loss_cls: 0.1471, s0.acc: 94.6653, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1956, s1.loss_cls: 0.0699, s1.acc: 94.9543, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0922, s2.loss_cls: 0.0362, s2.acc: 94.6645, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0434, loss: 1.0480 2022-09-13 09:30:37,088 - mmdet - INFO - Epoch [11][1600/7330] lr: 1.000e-04, eta: 2 days, 23:39:28, time: 1.356, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1874, s0.loss_cls: 0.1482, s0.acc: 94.6235, s0.loss_bbox: 0.0859, s0.loss_mask: 0.2060, s1.loss_cls: 0.0710, s1.acc: 94.8989, s1.loss_bbox: 0.0953, s1.loss_mask: 0.0970, s2.loss_cls: 0.0369, s2.acc: 94.6051, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0457, loss: 1.0862 2022-09-13 09:31:45,078 - mmdet - INFO - Epoch [11][1650/7330] lr: 1.000e-04, eta: 2 days, 23:38:19, time: 1.358, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1843, s0.loss_cls: 0.1379, s0.acc: 95.0830, s0.loss_bbox: 0.0786, s0.loss_mask: 0.1910, s1.loss_cls: 0.0645, s1.acc: 95.3946, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0890, s2.loss_cls: 0.0332, s2.acc: 95.2227, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0422, loss: 1.0109 2022-09-13 09:32:53,490 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 09:32:53,495 - mmdet - INFO - Epoch [11][1700/7330] lr: 1.000e-04, eta: 2 days, 23:37:11, time: 1.370, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1848, s0.loss_cls: 0.1408, s0.acc: 94.8718, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1986, s1.loss_cls: 0.0667, s1.acc: 95.1977, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0935, s2.loss_cls: 0.0339, s2.acc: 94.9549, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0437, loss: 1.0310 2022-09-13 09:34:01,636 - mmdet - INFO - Epoch [11][1750/7330] lr: 1.000e-04, eta: 2 days, 23:36:03, time: 1.363, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1888, s0.loss_cls: 0.1508, s0.acc: 94.5032, s0.loss_bbox: 0.0839, s0.loss_mask: 0.2058, s1.loss_cls: 0.0718, s1.acc: 94.7851, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0962, s2.loss_cls: 0.0368, s2.acc: 94.5449, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0453, loss: 1.0823 2022-09-13 09:35:08,912 - mmdet - INFO - Epoch [11][1800/7330] lr: 1.000e-04, eta: 2 days, 23:34:52, time: 1.345, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1882, s0.loss_cls: 0.1506, s0.acc: 94.5393, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1976, s1.loss_cls: 0.0721, s1.acc: 94.7301, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0921, s2.loss_cls: 0.0366, s2.acc: 94.5174, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0434, loss: 1.0644 2022-09-13 09:36:17,357 - mmdet - INFO - Epoch [11][1850/7330] lr: 1.000e-04, eta: 2 days, 23:33:44, time: 1.370, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1940, s0.loss_cls: 0.1490, s0.acc: 94.6553, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1976, s1.loss_cls: 0.0710, s1.acc: 94.8470, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0938, s2.loss_cls: 0.0360, s2.acc: 94.7159, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0445, loss: 1.0637 2022-09-13 09:37:25,651 - mmdet - INFO - Epoch [11][1900/7330] lr: 1.000e-04, eta: 2 days, 23:32:36, time: 1.366, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1910, s0.loss_cls: 0.1489, s0.acc: 94.6819, s0.loss_bbox: 0.0818, s0.loss_mask: 0.1942, s1.loss_cls: 0.0711, s1.acc: 94.9371, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0914, s2.loss_cls: 0.0357, s2.acc: 94.7875, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0429, loss: 1.0537 2022-09-13 09:38:33,326 - mmdet - INFO - Epoch [11][1950/7330] lr: 1.000e-04, eta: 2 days, 23:31:26, time: 1.353, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1850, s0.loss_cls: 0.1435, s0.acc: 94.7900, s0.loss_bbox: 0.0804, s0.loss_mask: 0.1969, s1.loss_cls: 0.0676, s1.acc: 95.1134, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0931, s2.loss_cls: 0.0351, s2.acc: 94.8388, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0435, loss: 1.0444 2022-09-13 09:39:40,687 - mmdet - INFO - Epoch [11][2000/7330] lr: 1.000e-04, eta: 2 days, 23:30:16, time: 1.347, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1367, s0.acc: 95.0879, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1925, s1.loss_cls: 0.0652, s1.acc: 95.2605, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0911, s2.loss_cls: 0.0341, s2.acc: 95.0283, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0429, loss: 1.0196 2022-09-13 09:40:48,997 - mmdet - INFO - Epoch [11][2050/7330] lr: 1.000e-04, eta: 2 days, 23:29:08, time: 1.366, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0315, loss_semantic_seg: 0.1877, s0.loss_cls: 0.1516, s0.acc: 94.5120, s0.loss_bbox: 0.0880, s0.loss_mask: 0.2021, s1.loss_cls: 0.0723, s1.acc: 94.7903, s1.loss_bbox: 0.0972, s1.loss_mask: 0.0948, s2.loss_cls: 0.0373, s2.acc: 94.5244, s2.loss_bbox: 0.0615, s2.loss_mask: 0.0443, loss: 1.0929 2022-09-13 09:41:56,823 - mmdet - INFO - Epoch [11][2100/7330] lr: 1.000e-04, eta: 2 days, 23:27:58, time: 1.356, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1936, s0.loss_cls: 0.1500, s0.acc: 94.5781, s0.loss_bbox: 0.0822, s0.loss_mask: 0.2013, s1.loss_cls: 0.0717, s1.acc: 94.8237, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0949, s2.loss_cls: 0.0364, s2.acc: 94.7128, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0446, loss: 1.0737 2022-09-13 09:43:04,571 - mmdet - INFO - Epoch [11][2150/7330] lr: 1.000e-04, eta: 2 days, 23:26:49, time: 1.355, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1573, s0.acc: 94.4236, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2026, s1.loss_cls: 0.0748, s1.acc: 94.7062, s1.loss_bbox: 0.0941, s1.loss_mask: 0.0953, s2.loss_cls: 0.0380, s2.acc: 94.5415, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0449, loss: 1.0848 2022-09-13 09:44:13,220 - mmdet - INFO - Epoch [11][2200/7330] lr: 1.000e-04, eta: 2 days, 23:25:42, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1924, s0.loss_cls: 0.1385, s0.acc: 95.0215, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1948, s1.loss_cls: 0.0661, s1.acc: 95.2383, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0916, s2.loss_cls: 0.0337, s2.acc: 95.0943, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0436, loss: 1.0271 2022-09-13 09:45:21,720 - mmdet - INFO - Epoch [11][2250/7330] lr: 1.000e-04, eta: 2 days, 23:24:34, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1892, s0.loss_cls: 0.1461, s0.acc: 94.6987, s0.loss_bbox: 0.0831, s0.loss_mask: 0.1947, s1.loss_cls: 0.0686, s1.acc: 94.9768, s1.loss_bbox: 0.0915, s1.loss_mask: 0.0914, s2.loss_cls: 0.0357, s2.acc: 94.6699, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0430, loss: 1.0529 2022-09-13 09:46:29,122 - mmdet - INFO - Epoch [11][2300/7330] lr: 1.000e-04, eta: 2 days, 23:23:24, time: 1.348, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1857, s0.loss_cls: 0.1384, s0.acc: 95.0198, s0.loss_bbox: 0.0786, s0.loss_mask: 0.1965, s1.loss_cls: 0.0659, s1.acc: 95.2636, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0920, s2.loss_cls: 0.0339, s2.acc: 95.0016, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0432, loss: 1.0256 2022-09-13 09:47:37,588 - mmdet - INFO - Epoch [11][2350/7330] lr: 1.000e-04, eta: 2 days, 23:22:16, time: 1.369, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1878, s0.loss_cls: 0.1364, s0.acc: 95.1362, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1954, s1.loss_cls: 0.0646, s1.acc: 95.3479, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0918, s2.loss_cls: 0.0329, s2.acc: 95.1899, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0437, loss: 1.0211 2022-09-13 09:48:46,389 - mmdet - INFO - Epoch [11][2400/7330] lr: 1.000e-04, eta: 2 days, 23:21:09, time: 1.376, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1912, s0.loss_cls: 0.1506, s0.acc: 94.5107, s0.loss_bbox: 0.0844, s0.loss_mask: 0.2019, s1.loss_cls: 0.0727, s1.acc: 94.6204, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0943, s2.loss_cls: 0.0372, s2.acc: 94.4983, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0446, loss: 1.0800 2022-09-13 09:49:53,718 - mmdet - INFO - Epoch [11][2450/7330] lr: 1.000e-04, eta: 2 days, 23:19:59, time: 1.346, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1814, s0.loss_cls: 0.1385, s0.acc: 95.0125, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1906, s1.loss_cls: 0.0681, s1.acc: 95.1640, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0896, s2.loss_cls: 0.0352, s2.acc: 94.7888, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0425, loss: 1.0048 2022-09-13 09:51:01,117 - mmdet - INFO - Epoch [11][2500/7330] lr: 1.000e-04, eta: 2 days, 23:18:48, time: 1.348, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1916, s0.loss_cls: 0.1510, s0.acc: 94.6377, s0.loss_bbox: 0.0841, s0.loss_mask: 0.2017, s1.loss_cls: 0.0721, s1.acc: 94.9322, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0945, s2.loss_cls: 0.0365, s2.acc: 94.6044, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0444, loss: 1.0780 2022-09-13 09:52:09,079 - mmdet - INFO - Epoch [11][2550/7330] lr: 1.000e-04, eta: 2 days, 23:17:39, time: 1.360, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1820, s0.loss_cls: 0.1457, s0.acc: 94.7937, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1997, s1.loss_cls: 0.0699, s1.acc: 95.0684, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0943, s2.loss_cls: 0.0353, s2.acc: 94.8627, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0442, loss: 1.0398 2022-09-13 09:53:17,569 - mmdet - INFO - Epoch [11][2600/7330] lr: 1.000e-04, eta: 2 days, 23:16:31, time: 1.368, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1814, s0.loss_cls: 0.1409, s0.acc: 94.8748, s0.loss_bbox: 0.0796, s0.loss_mask: 0.1965, s1.loss_cls: 0.0676, s1.acc: 95.0575, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0927, s2.loss_cls: 0.0342, s2.acc: 94.8908, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0438, loss: 1.0352 2022-09-13 09:54:25,624 - mmdet - INFO - Epoch [11][2650/7330] lr: 1.000e-04, eta: 2 days, 23:15:23, time: 1.361, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1864, s0.loss_cls: 0.1512, s0.acc: 94.5156, s0.loss_bbox: 0.0848, s0.loss_mask: 0.1994, s1.loss_cls: 0.0732, s1.acc: 94.6819, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0935, s2.loss_cls: 0.0370, s2.acc: 94.5935, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0440, loss: 1.0699 2022-09-13 09:55:34,063 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 09:55:34,066 - mmdet - INFO - Epoch [11][2700/7330] lr: 1.000e-04, eta: 2 days, 23:14:15, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0307, loss_semantic_seg: 0.1879, s0.loss_cls: 0.1519, s0.acc: 94.4050, s0.loss_bbox: 0.0841, s0.loss_mask: 0.2004, s1.loss_cls: 0.0724, s1.acc: 94.6383, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0936, s2.loss_cls: 0.0372, s2.acc: 94.4963, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0437, loss: 1.0771 2022-09-13 09:56:42,174 - mmdet - INFO - Epoch [11][2750/7330] lr: 1.000e-04, eta: 2 days, 23:13:06, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1824, s0.loss_cls: 0.1504, s0.acc: 94.6262, s0.loss_bbox: 0.0834, s0.loss_mask: 0.2041, s1.loss_cls: 0.0727, s1.acc: 94.8461, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0953, s2.loss_cls: 0.0368, s2.acc: 94.5853, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0444, loss: 1.0711 2022-09-13 09:57:49,566 - mmdet - INFO - Epoch [11][2800/7330] lr: 1.000e-04, eta: 2 days, 23:11:56, time: 1.348, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1877, s0.loss_cls: 0.1500, s0.acc: 94.6296, s0.loss_bbox: 0.0844, s0.loss_mask: 0.2070, s1.loss_cls: 0.0717, s1.acc: 94.8854, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0977, s2.loss_cls: 0.0360, s2.acc: 94.7346, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0464, loss: 1.0835 2022-09-13 09:58:57,732 - mmdet - INFO - Epoch [11][2850/7330] lr: 1.000e-04, eta: 2 days, 23:10:48, time: 1.363, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1859, s0.loss_cls: 0.1466, s0.acc: 94.6599, s0.loss_bbox: 0.0837, s0.loss_mask: 0.1980, s1.loss_cls: 0.0693, s1.acc: 94.9666, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0926, s2.loss_cls: 0.0350, s2.acc: 94.7541, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0435, loss: 1.0570 2022-09-13 10:00:05,893 - mmdet - INFO - Epoch [11][2900/7330] lr: 1.000e-04, eta: 2 days, 23:09:39, time: 1.363, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.2043, s0.loss_cls: 0.1604, s0.acc: 94.3457, s0.loss_bbox: 0.0867, s0.loss_mask: 0.2057, s1.loss_cls: 0.0780, s1.acc: 94.4679, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0963, s2.loss_cls: 0.0396, s2.acc: 94.3071, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0454, loss: 1.1233 2022-09-13 10:01:14,450 - mmdet - INFO - Epoch [11][2950/7330] lr: 1.000e-04, eta: 2 days, 23:08:32, time: 1.371, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1413, s0.acc: 94.9133, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1963, s1.loss_cls: 0.0681, s1.acc: 95.0602, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0925, s2.loss_cls: 0.0351, s2.acc: 94.7972, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0438, loss: 1.0396 2022-09-13 10:02:22,360 - mmdet - INFO - Epoch [11][3000/7330] lr: 1.000e-04, eta: 2 days, 23:07:23, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.1938, s0.loss_cls: 0.1516, s0.acc: 94.4666, s0.loss_bbox: 0.0855, s0.loss_mask: 0.2035, s1.loss_cls: 0.0723, s1.acc: 94.6276, s1.loss_bbox: 0.0944, s1.loss_mask: 0.0950, s2.loss_cls: 0.0366, s2.acc: 94.4108, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0446, loss: 1.0892 2022-09-13 10:03:30,105 - mmdet - INFO - Epoch [11][3050/7330] lr: 1.000e-04, eta: 2 days, 23:06:13, time: 1.355, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1917, s0.loss_cls: 0.1489, s0.acc: 94.6260, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1972, s1.loss_cls: 0.0710, s1.acc: 94.8511, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0930, s2.loss_cls: 0.0367, s2.acc: 94.5893, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0441, loss: 1.0629 2022-09-13 10:04:37,528 - mmdet - INFO - Epoch [11][3100/7330] lr: 1.000e-04, eta: 2 days, 23:05:03, time: 1.349, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1913, s0.loss_cls: 0.1461, s0.acc: 94.8293, s0.loss_bbox: 0.0804, s0.loss_mask: 0.1973, s1.loss_cls: 0.0702, s1.acc: 94.9959, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0917, s2.loss_cls: 0.0351, s2.acc: 94.8577, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0426, loss: 1.0532 2022-09-13 10:05:46,336 - mmdet - INFO - Epoch [11][3150/7330] lr: 1.000e-04, eta: 2 days, 23:03:56, time: 1.376, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1886, s0.loss_cls: 0.1525, s0.acc: 94.5710, s0.loss_bbox: 0.0838, s0.loss_mask: 0.2032, s1.loss_cls: 0.0737, s1.acc: 94.7352, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0948, s2.loss_cls: 0.0376, s2.acc: 94.5494, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0443, loss: 1.0800 2022-09-13 10:06:54,369 - mmdet - INFO - Epoch [11][3200/7330] lr: 1.000e-04, eta: 2 days, 23:02:47, time: 1.361, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1963, s0.loss_cls: 0.1419, s0.acc: 94.9490, s0.loss_bbox: 0.0813, s0.loss_mask: 0.2038, s1.loss_cls: 0.0689, s1.acc: 95.0995, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0948, s2.loss_cls: 0.0350, s2.acc: 94.8474, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0441, loss: 1.0591 2022-09-13 10:08:01,891 - mmdet - INFO - Epoch [11][3250/7330] lr: 1.000e-04, eta: 2 days, 23:01:37, time: 1.347, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1832, s0.loss_cls: 0.1334, s0.acc: 95.2371, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1944, s1.loss_cls: 0.0643, s1.acc: 95.4249, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0911, s2.loss_cls: 0.0328, s2.acc: 95.2462, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0432, loss: 0.9990 2022-09-13 10:09:09,673 - mmdet - INFO - Epoch [11][3300/7330] lr: 1.000e-04, eta: 2 days, 23:00:28, time: 1.359, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1877, s0.loss_cls: 0.1384, s0.acc: 95.0002, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1915, s1.loss_cls: 0.0672, s1.acc: 95.1602, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0900, s2.loss_cls: 0.0342, s2.acc: 94.9923, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0425, loss: 1.0180 2022-09-13 10:10:18,488 - mmdet - INFO - Epoch [11][3350/7330] lr: 1.000e-04, eta: 2 days, 22:59:21, time: 1.376, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1907, s0.loss_cls: 0.1446, s0.acc: 94.8357, s0.loss_bbox: 0.0813, s0.loss_mask: 0.1977, s1.loss_cls: 0.0685, s1.acc: 95.0140, s1.loss_bbox: 0.0898, s1.loss_mask: 0.0934, s2.loss_cls: 0.0351, s2.acc: 94.8596, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0439, loss: 1.0520 2022-09-13 10:11:26,791 - mmdet - INFO - Epoch [11][3400/7330] lr: 1.000e-04, eta: 2 days, 22:58:13, time: 1.367, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1856, s0.loss_cls: 0.1499, s0.acc: 94.6785, s0.loss_bbox: 0.0845, s0.loss_mask: 0.2037, s1.loss_cls: 0.0726, s1.acc: 94.9132, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0957, s2.loss_cls: 0.0363, s2.acc: 94.7485, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0452, loss: 1.0748 2022-09-13 10:12:34,625 - mmdet - INFO - Epoch [11][3450/7330] lr: 1.000e-04, eta: 2 days, 22:57:04, time: 1.357, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1876, s0.loss_cls: 0.1469, s0.acc: 94.6545, s0.loss_bbox: 0.0856, s0.loss_mask: 0.2025, s1.loss_cls: 0.0684, s1.acc: 94.9193, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0963, s2.loss_cls: 0.0342, s2.acc: 94.8638, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0454, loss: 1.0690 2022-09-13 10:13:42,646 - mmdet - INFO - Epoch [11][3500/7330] lr: 1.000e-04, eta: 2 days, 22:55:55, time: 1.360, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1861, s0.loss_cls: 0.1391, s0.acc: 95.0066, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1984, s1.loss_cls: 0.0662, s1.acc: 95.2642, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0942, s2.loss_cls: 0.0340, s2.acc: 95.0403, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0443, loss: 1.0317 2022-09-13 10:14:51,117 - mmdet - INFO - Epoch [11][3550/7330] lr: 1.000e-04, eta: 2 days, 22:54:47, time: 1.368, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1899, s0.loss_cls: 0.1488, s0.acc: 94.6418, s0.loss_bbox: 0.0839, s0.loss_mask: 0.1980, s1.loss_cls: 0.0712, s1.acc: 94.8555, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0934, s2.loss_cls: 0.0364, s2.acc: 94.5602, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0442, loss: 1.0704 2022-09-13 10:15:58,671 - mmdet - INFO - Epoch [11][3600/7330] lr: 1.000e-04, eta: 2 days, 22:53:37, time: 1.352, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1974, s0.loss_cls: 0.1449, s0.acc: 94.7710, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1952, s1.loss_cls: 0.0676, s1.acc: 95.0995, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0921, s2.loss_cls: 0.0342, s2.acc: 94.9686, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0439, loss: 1.0528 2022-09-13 10:17:07,195 - mmdet - INFO - Epoch [11][3650/7330] lr: 1.000e-04, eta: 2 days, 22:52:29, time: 1.371, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0303, loss_semantic_seg: 0.1842, s0.loss_cls: 0.1469, s0.acc: 94.7590, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1948, s1.loss_cls: 0.0701, s1.acc: 94.9489, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0921, s2.loss_cls: 0.0365, s2.acc: 94.6242, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0437, loss: 1.0506 2022-09-13 10:18:15,831 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 10:18:15,834 - mmdet - INFO - Epoch [11][3700/7330] lr: 1.000e-04, eta: 2 days, 22:51:22, time: 1.373, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1986, s0.loss_cls: 0.1514, s0.acc: 94.6833, s0.loss_bbox: 0.0811, s0.loss_mask: 0.1950, s1.loss_cls: 0.0721, s1.acc: 94.9165, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0916, s2.loss_cls: 0.0372, s2.acc: 94.5926, s2.loss_bbox: 0.0595, s2.loss_mask: 0.0434, loss: 1.0694 2022-09-13 10:19:24,330 - mmdet - INFO - Epoch [11][3750/7330] lr: 1.000e-04, eta: 2 days, 22:50:14, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0322, loss_semantic_seg: 0.1894, s0.loss_cls: 0.1490, s0.acc: 94.6653, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1996, s1.loss_cls: 0.0704, s1.acc: 94.9845, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0936, s2.loss_cls: 0.0366, s2.acc: 94.7201, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0440, loss: 1.0635 2022-09-13 10:20:32,927 - mmdet - INFO - Epoch [11][3800/7330] lr: 1.000e-04, eta: 2 days, 22:49:07, time: 1.372, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1848, s0.loss_cls: 0.1474, s0.acc: 94.7888, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1973, s1.loss_cls: 0.0711, s1.acc: 94.8931, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0927, s2.loss_cls: 0.0358, s2.acc: 94.8060, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0439, loss: 1.0450 2022-09-13 10:21:40,675 - mmdet - INFO - Epoch [11][3850/7330] lr: 1.000e-04, eta: 2 days, 22:47:58, time: 1.355, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1935, s0.loss_cls: 0.1464, s0.acc: 94.7439, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1975, s1.loss_cls: 0.0704, s1.acc: 94.9756, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0927, s2.loss_cls: 0.0356, s2.acc: 94.7590, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0437, loss: 1.0577 2022-09-13 10:22:48,722 - mmdet - INFO - Epoch [11][3900/7330] lr: 1.000e-04, eta: 2 days, 22:46:49, time: 1.361, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0308, loss_semantic_seg: 0.1851, s0.loss_cls: 0.1508, s0.acc: 94.6340, s0.loss_bbox: 0.0841, s0.loss_mask: 0.2036, s1.loss_cls: 0.0732, s1.acc: 94.8258, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0949, s2.loss_cls: 0.0370, s2.acc: 94.6586, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0443, loss: 1.0762 2022-09-13 10:23:57,166 - mmdet - INFO - Epoch [11][3950/7330] lr: 1.000e-04, eta: 2 days, 22:45:41, time: 1.369, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1969, s0.loss_cls: 0.1522, s0.acc: 94.6165, s0.loss_bbox: 0.0800, s0.loss_mask: 0.2045, s1.loss_cls: 0.0738, s1.acc: 94.7359, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0956, s2.loss_cls: 0.0376, s2.acc: 94.5522, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0449, loss: 1.0793 2022-09-13 10:25:05,409 - mmdet - INFO - Epoch [11][4000/7330] lr: 1.000e-04, eta: 2 days, 22:44:33, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1856, s0.loss_cls: 0.1408, s0.acc: 95.0344, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1919, s1.loss_cls: 0.0672, s1.acc: 95.2502, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0911, s2.loss_cls: 0.0347, s2.acc: 94.9678, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0431, loss: 1.0276 2022-09-13 10:26:13,025 - mmdet - INFO - Epoch [11][4050/7330] lr: 1.000e-04, eta: 2 days, 22:43:23, time: 1.351, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.2021, s0.loss_cls: 0.1453, s0.acc: 94.8503, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1975, s1.loss_cls: 0.0694, s1.acc: 95.1267, s1.loss_bbox: 0.0906, s1.loss_mask: 0.0934, s2.loss_cls: 0.0353, s2.acc: 94.9214, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0443, loss: 1.0639 2022-09-13 10:27:20,855 - mmdet - INFO - Epoch [11][4100/7330] lr: 1.000e-04, eta: 2 days, 22:42:14, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1818, s0.loss_cls: 0.1455, s0.acc: 94.7466, s0.loss_bbox: 0.0822, s0.loss_mask: 0.2013, s1.loss_cls: 0.0696, s1.acc: 94.9846, s1.loss_bbox: 0.0911, s1.loss_mask: 0.0943, s2.loss_cls: 0.0360, s2.acc: 94.7402, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0443, loss: 1.0519 2022-09-13 10:28:29,360 - mmdet - INFO - Epoch [11][4150/7330] lr: 1.000e-04, eta: 2 days, 22:41:06, time: 1.369, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1450, s0.acc: 94.7332, s0.loss_bbox: 0.0833, s0.loss_mask: 0.2023, s1.loss_cls: 0.0692, s1.acc: 94.9736, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0960, s2.loss_cls: 0.0356, s2.acc: 94.6871, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0447, loss: 1.0671 2022-09-13 10:29:38,192 - mmdet - INFO - Epoch [11][4200/7330] lr: 1.000e-04, eta: 2 days, 22:39:59, time: 1.376, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1885, s0.loss_cls: 0.1498, s0.acc: 94.5659, s0.loss_bbox: 0.0849, s0.loss_mask: 0.2000, s1.loss_cls: 0.0717, s1.acc: 94.7876, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0937, s2.loss_cls: 0.0361, s2.acc: 94.6765, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0439, loss: 1.0708 2022-09-13 10:30:47,021 - mmdet - INFO - Epoch [11][4250/7330] lr: 1.000e-04, eta: 2 days, 22:38:53, time: 1.378, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1937, s0.loss_cls: 0.1472, s0.acc: 94.7153, s0.loss_bbox: 0.0796, s0.loss_mask: 0.1983, s1.loss_cls: 0.0701, s1.acc: 94.9925, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0938, s2.loss_cls: 0.0357, s2.acc: 94.7992, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0436, loss: 1.0559 2022-09-13 10:31:54,217 - mmdet - INFO - Epoch [11][4300/7330] lr: 1.000e-04, eta: 2 days, 22:37:41, time: 1.340, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1928, s0.loss_cls: 0.1479, s0.acc: 94.7529, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1995, s1.loss_cls: 0.0715, s1.acc: 94.9421, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0940, s2.loss_cls: 0.0367, s2.acc: 94.7705, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0441, loss: 1.0554 2022-09-13 10:33:01,990 - mmdet - INFO - Epoch [11][4350/7330] lr: 1.000e-04, eta: 2 days, 22:36:32, time: 1.360, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1832, s0.loss_cls: 0.1435, s0.acc: 94.8933, s0.loss_bbox: 0.0803, s0.loss_mask: 0.1970, s1.loss_cls: 0.0693, s1.acc: 95.1312, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0935, s2.loss_cls: 0.0352, s2.acc: 94.9604, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0440, loss: 1.0391 2022-09-13 10:34:10,238 - mmdet - INFO - Epoch [11][4400/7330] lr: 1.000e-04, eta: 2 days, 22:35:24, time: 1.365, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1966, s0.loss_cls: 0.1482, s0.acc: 94.7622, s0.loss_bbox: 0.0811, s0.loss_mask: 0.1964, s1.loss_cls: 0.0700, s1.acc: 95.0657, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0915, s2.loss_cls: 0.0363, s2.acc: 94.8274, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0431, loss: 1.0641 2022-09-13 10:35:18,013 - mmdet - INFO - Epoch [11][4450/7330] lr: 1.000e-04, eta: 2 days, 22:34:15, time: 1.355, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1845, s0.loss_cls: 0.1459, s0.acc: 94.6404, s0.loss_bbox: 0.0836, s0.loss_mask: 0.2056, s1.loss_cls: 0.0697, s1.acc: 94.8831, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0962, s2.loss_cls: 0.0357, s2.acc: 94.5677, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0452, loss: 1.0701 2022-09-13 10:36:26,294 - mmdet - INFO - Epoch [11][4500/7330] lr: 1.000e-04, eta: 2 days, 22:33:07, time: 1.366, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1852, s0.loss_cls: 0.1367, s0.acc: 95.1602, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1927, s1.loss_cls: 0.0656, s1.acc: 95.3707, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0897, s2.loss_cls: 0.0333, s2.acc: 95.1476, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0424, loss: 0.9984 2022-09-13 10:37:34,380 - mmdet - INFO - Epoch [11][4550/7330] lr: 1.000e-04, eta: 2 days, 22:31:58, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1913, s0.loss_cls: 0.1479, s0.acc: 94.7070, s0.loss_bbox: 0.0826, s0.loss_mask: 0.1999, s1.loss_cls: 0.0713, s1.acc: 94.8701, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0941, s2.loss_cls: 0.0362, s2.acc: 94.6313, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0445, loss: 1.0660 2022-09-13 10:38:41,868 - mmdet - INFO - Epoch [11][4600/7330] lr: 1.000e-04, eta: 2 days, 22:30:48, time: 1.350, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1873, s0.loss_cls: 0.1474, s0.acc: 94.6960, s0.loss_bbox: 0.0835, s0.loss_mask: 0.2012, s1.loss_cls: 0.0702, s1.acc: 94.9007, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0937, s2.loss_cls: 0.0356, s2.acc: 94.7625, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0442, loss: 1.0623 2022-09-13 10:39:48,893 - mmdet - INFO - Epoch [11][4650/7330] lr: 1.000e-04, eta: 2 days, 22:29:37, time: 1.341, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1852, s0.loss_cls: 0.1428, s0.acc: 94.8811, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1987, s1.loss_cls: 0.0684, s1.acc: 95.1211, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0941, s2.loss_cls: 0.0351, s2.acc: 94.8975, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0438, loss: 1.0443 2022-09-13 10:40:56,123 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 10:40:56,125 - mmdet - INFO - Epoch [11][4700/7330] lr: 1.000e-04, eta: 2 days, 22:28:26, time: 1.345, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1883, s0.loss_cls: 0.1451, s0.acc: 94.8298, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1951, s1.loss_cls: 0.0691, s1.acc: 95.0717, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0924, s2.loss_cls: 0.0351, s2.acc: 94.9661, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0436, loss: 1.0420 2022-09-13 10:42:03,944 - mmdet - INFO - Epoch [11][4750/7330] lr: 1.000e-04, eta: 2 days, 22:27:17, time: 1.356, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1864, s0.loss_cls: 0.1474, s0.acc: 94.6951, s0.loss_bbox: 0.0826, s0.loss_mask: 0.2011, s1.loss_cls: 0.0717, s1.acc: 94.8639, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0939, s2.loss_cls: 0.0366, s2.acc: 94.6891, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0440, loss: 1.0603 2022-09-13 10:43:12,427 - mmdet - INFO - Epoch [11][4800/7330] lr: 1.000e-04, eta: 2 days, 22:26:09, time: 1.370, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0313, loss_semantic_seg: 0.1912, s0.loss_cls: 0.1577, s0.acc: 94.4277, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2060, s1.loss_cls: 0.0750, s1.acc: 94.6394, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0972, s2.loss_cls: 0.0383, s2.acc: 94.4387, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0454, loss: 1.1094 2022-09-13 10:44:20,036 - mmdet - INFO - Epoch [11][4850/7330] lr: 1.000e-04, eta: 2 days, 22:24:59, time: 1.352, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1760, s0.loss_cls: 0.1481, s0.acc: 94.7524, s0.loss_bbox: 0.0806, s0.loss_mask: 0.2004, s1.loss_cls: 0.0708, s1.acc: 94.9516, s1.loss_bbox: 0.0898, s1.loss_mask: 0.0946, s2.loss_cls: 0.0361, s2.acc: 94.7500, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0445, loss: 1.0504 2022-09-13 10:45:27,136 - mmdet - INFO - Epoch [11][4900/7330] lr: 1.000e-04, eta: 2 days, 22:23:48, time: 1.342, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1942, s0.loss_cls: 0.1437, s0.acc: 94.9426, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1939, s1.loss_cls: 0.0682, s1.acc: 95.1805, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0904, s2.loss_cls: 0.0348, s2.acc: 94.9399, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0427, loss: 1.0408 2022-09-13 10:46:35,559 - mmdet - INFO - Epoch [11][4950/7330] lr: 1.000e-04, eta: 2 days, 22:22:40, time: 1.367, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1957, s0.loss_cls: 0.1451, s0.acc: 94.7983, s0.loss_bbox: 0.0804, s0.loss_mask: 0.1984, s1.loss_cls: 0.0699, s1.acc: 94.9151, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0932, s2.loss_cls: 0.0359, s2.acc: 94.7428, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0435, loss: 1.0581 2022-09-13 10:47:43,681 - mmdet - INFO - Epoch [11][5000/7330] lr: 1.000e-04, eta: 2 days, 22:21:32, time: 1.364, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1890, s0.loss_cls: 0.1491, s0.acc: 94.6506, s0.loss_bbox: 0.0831, s0.loss_mask: 0.2042, s1.loss_cls: 0.0718, s1.acc: 94.8451, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0958, s2.loss_cls: 0.0372, s2.acc: 94.4631, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0449, loss: 1.0790 2022-09-13 10:48:52,196 - mmdet - INFO - Epoch [11][5050/7330] lr: 1.000e-04, eta: 2 days, 22:20:24, time: 1.368, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1942, s0.loss_cls: 0.1445, s0.acc: 94.8101, s0.loss_bbox: 0.0844, s0.loss_mask: 0.1977, s1.loss_cls: 0.0687, s1.acc: 95.0365, s1.loss_bbox: 0.0911, s1.loss_mask: 0.0922, s2.loss_cls: 0.0351, s2.acc: 94.8285, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0435, loss: 1.0615 2022-09-13 10:50:00,310 - mmdet - INFO - Epoch [11][5100/7330] lr: 1.000e-04, eta: 2 days, 22:19:16, time: 1.364, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1828, s0.loss_cls: 0.1532, s0.acc: 94.5840, s0.loss_bbox: 0.0877, s0.loss_mask: 0.2031, s1.loss_cls: 0.0731, s1.acc: 94.8316, s1.loss_bbox: 0.0949, s1.loss_mask: 0.0963, s2.loss_cls: 0.0368, s2.acc: 94.7385, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0460, loss: 1.0861 2022-09-13 10:51:08,487 - mmdet - INFO - Epoch [11][5150/7330] lr: 1.000e-04, eta: 2 days, 22:18:08, time: 1.364, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1979, s0.loss_cls: 0.1554, s0.acc: 94.5774, s0.loss_bbox: 0.0820, s0.loss_mask: 0.1975, s1.loss_cls: 0.0745, s1.acc: 94.8079, s1.loss_bbox: 0.0926, s1.loss_mask: 0.0934, s2.loss_cls: 0.0381, s2.acc: 94.5853, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0441, loss: 1.0850 2022-09-13 10:52:16,980 - mmdet - INFO - Epoch [11][5200/7330] lr: 1.000e-04, eta: 2 days, 22:17:00, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1975, s0.loss_cls: 0.1585, s0.acc: 94.3086, s0.loss_bbox: 0.0868, s0.loss_mask: 0.2003, s1.loss_cls: 0.0753, s1.acc: 94.6084, s1.loss_bbox: 0.0947, s1.loss_mask: 0.0942, s2.loss_cls: 0.0382, s2.acc: 94.4165, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0444, loss: 1.1055 2022-09-13 10:53:24,054 - mmdet - INFO - Epoch [11][5250/7330] lr: 1.000e-04, eta: 2 days, 22:15:49, time: 1.342, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1997, s0.loss_cls: 0.1472, s0.acc: 94.7930, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1987, s1.loss_cls: 0.0703, s1.acc: 95.0338, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0932, s2.loss_cls: 0.0365, s2.acc: 94.7186, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0437, loss: 1.0615 2022-09-13 10:54:31,483 - mmdet - INFO - Epoch [11][5300/7330] lr: 1.000e-04, eta: 2 days, 22:14:39, time: 1.349, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1917, s0.loss_cls: 0.1503, s0.acc: 94.5615, s0.loss_bbox: 0.0841, s0.loss_mask: 0.2032, s1.loss_cls: 0.0722, s1.acc: 94.7032, s1.loss_bbox: 0.0911, s1.loss_mask: 0.0957, s2.loss_cls: 0.0371, s2.acc: 94.5147, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0456, loss: 1.0782 2022-09-13 10:55:40,178 - mmdet - INFO - Epoch [11][5350/7330] lr: 1.000e-04, eta: 2 days, 22:13:32, time: 1.374, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1934, s0.loss_cls: 0.1462, s0.acc: 94.7563, s0.loss_bbox: 0.0804, s0.loss_mask: 0.1995, s1.loss_cls: 0.0709, s1.acc: 94.8574, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0935, s2.loss_cls: 0.0357, s2.acc: 94.8026, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0443, loss: 1.0585 2022-09-13 10:56:48,336 - mmdet - INFO - Epoch [11][5400/7330] lr: 1.000e-04, eta: 2 days, 22:12:23, time: 1.363, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1871, s0.loss_cls: 0.1409, s0.acc: 94.8877, s0.loss_bbox: 0.0804, s0.loss_mask: 0.1971, s1.loss_cls: 0.0677, s1.acc: 95.0445, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0928, s2.loss_cls: 0.0349, s2.acc: 94.7812, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0437, loss: 1.0410 2022-09-13 10:57:56,399 - mmdet - INFO - Epoch [11][5450/7330] lr: 1.000e-04, eta: 2 days, 22:11:14, time: 1.360, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1905, s0.loss_cls: 0.1549, s0.acc: 94.3850, s0.loss_bbox: 0.0856, s0.loss_mask: 0.1992, s1.loss_cls: 0.0747, s1.acc: 94.6625, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0931, s2.loss_cls: 0.0382, s2.acc: 94.4158, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0438, loss: 1.0876 2022-09-13 10:59:05,358 - mmdet - INFO - Epoch [11][5500/7330] lr: 1.000e-04, eta: 2 days, 22:10:08, time: 1.379, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1849, s0.loss_cls: 0.1456, s0.acc: 94.7061, s0.loss_bbox: 0.0839, s0.loss_mask: 0.1953, s1.loss_cls: 0.0691, s1.acc: 95.0278, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0915, s2.loss_cls: 0.0350, s2.acc: 94.8548, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0431, loss: 1.0520 2022-09-13 11:00:13,951 - mmdet - INFO - Epoch [11][5550/7330] lr: 1.000e-04, eta: 2 days, 22:09:00, time: 1.372, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1902, s0.loss_cls: 0.1434, s0.acc: 94.8723, s0.loss_bbox: 0.0804, s0.loss_mask: 0.2029, s1.loss_cls: 0.0681, s1.acc: 95.1654, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0960, s2.loss_cls: 0.0341, s2.acc: 94.9006, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0450, loss: 1.0554 2022-09-13 11:01:22,160 - mmdet - INFO - Epoch [11][5600/7330] lr: 1.000e-04, eta: 2 days, 22:07:52, time: 1.366, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1852, s0.loss_cls: 0.1506, s0.acc: 94.5608, s0.loss_bbox: 0.0839, s0.loss_mask: 0.2005, s1.loss_cls: 0.0716, s1.acc: 94.7907, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0943, s2.loss_cls: 0.0367, s2.acc: 94.6608, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0438, loss: 1.0685 2022-09-13 11:02:30,321 - mmdet - INFO - Epoch [11][5650/7330] lr: 1.000e-04, eta: 2 days, 22:06:44, time: 1.363, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1926, s0.loss_cls: 0.1451, s0.acc: 94.8064, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1958, s1.loss_cls: 0.0697, s1.acc: 95.0598, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0931, s2.loss_cls: 0.0357, s2.acc: 94.8153, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0438, loss: 1.0456 2022-09-13 11:03:38,093 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 11:03:38,093 - mmdet - INFO - Epoch [11][5700/7330] lr: 1.000e-04, eta: 2 days, 22:05:34, time: 1.356, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1942, s0.loss_cls: 0.1430, s0.acc: 94.9426, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1915, s1.loss_cls: 0.0691, s1.acc: 95.0957, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0896, s2.loss_cls: 0.0354, s2.acc: 94.8849, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0421, loss: 1.0242 2022-09-13 11:04:46,369 - mmdet - INFO - Epoch [11][5750/7330] lr: 1.000e-04, eta: 2 days, 22:04:26, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1854, s0.loss_cls: 0.1473, s0.acc: 94.7356, s0.loss_bbox: 0.0809, s0.loss_mask: 0.1982, s1.loss_cls: 0.0703, s1.acc: 95.0171, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0931, s2.loss_cls: 0.0358, s2.acc: 94.8371, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0435, loss: 1.0505 2022-09-13 11:05:54,469 - mmdet - INFO - Epoch [11][5800/7330] lr: 1.000e-04, eta: 2 days, 22:03:18, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1904, s0.loss_cls: 0.1495, s0.acc: 94.8018, s0.loss_bbox: 0.0816, s0.loss_mask: 0.1977, s1.loss_cls: 0.0721, s1.acc: 94.9618, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0930, s2.loss_cls: 0.0366, s2.acc: 94.7576, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0442, loss: 1.0605 2022-09-13 11:07:02,467 - mmdet - INFO - Epoch [11][5850/7330] lr: 1.000e-04, eta: 2 days, 22:02:09, time: 1.360, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1953, s0.loss_cls: 0.1508, s0.acc: 94.5850, s0.loss_bbox: 0.0818, s0.loss_mask: 0.1965, s1.loss_cls: 0.0722, s1.acc: 94.7662, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0922, s2.loss_cls: 0.0367, s2.acc: 94.6124, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0435, loss: 1.0692 2022-09-13 11:08:10,672 - mmdet - INFO - Epoch [11][5900/7330] lr: 1.000e-04, eta: 2 days, 22:01:00, time: 1.364, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1956, s0.loss_cls: 0.1583, s0.acc: 94.2651, s0.loss_bbox: 0.0882, s0.loss_mask: 0.2062, s1.loss_cls: 0.0772, s1.acc: 94.4467, s1.loss_bbox: 0.0957, s1.loss_mask: 0.0968, s2.loss_cls: 0.0388, s2.acc: 94.2437, s2.loss_bbox: 0.0603, s2.loss_mask: 0.0456, loss: 1.1176 2022-09-13 11:09:18,474 - mmdet - INFO - Epoch [11][5950/7330] lr: 1.000e-04, eta: 2 days, 21:59:51, time: 1.356, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1883, s0.loss_cls: 0.1414, s0.acc: 94.9314, s0.loss_bbox: 0.0783, s0.loss_mask: 0.2018, s1.loss_cls: 0.0675, s1.acc: 95.1402, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0956, s2.loss_cls: 0.0344, s2.acc: 94.9668, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0453, loss: 1.0474 2022-09-13 11:10:27,316 - mmdet - INFO - Epoch [11][6000/7330] lr: 1.000e-04, eta: 2 days, 21:58:44, time: 1.377, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1899, s0.loss_cls: 0.1542, s0.acc: 94.4556, s0.loss_bbox: 0.0856, s0.loss_mask: 0.1975, s1.loss_cls: 0.0741, s1.acc: 94.6635, s1.loss_bbox: 0.0934, s1.loss_mask: 0.0926, s2.loss_cls: 0.0380, s2.acc: 94.4133, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0432, loss: 1.0795 2022-09-13 11:11:35,523 - mmdet - INFO - Epoch [11][6050/7330] lr: 1.000e-04, eta: 2 days, 21:57:36, time: 1.364, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1919, s0.loss_cls: 0.1453, s0.acc: 94.7908, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1961, s1.loss_cls: 0.0709, s1.acc: 94.9974, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0925, s2.loss_cls: 0.0361, s2.acc: 94.7593, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0434, loss: 1.0529 2022-09-13 11:12:44,608 - mmdet - INFO - Epoch [11][6100/7330] lr: 1.000e-04, eta: 2 days, 21:56:30, time: 1.382, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1941, s0.loss_cls: 0.1405, s0.acc: 95.0146, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1993, s1.loss_cls: 0.0686, s1.acc: 95.1383, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0935, s2.loss_cls: 0.0353, s2.acc: 94.9599, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0435, loss: 1.0419 2022-09-13 11:13:52,620 - mmdet - INFO - Epoch [11][6150/7330] lr: 1.000e-04, eta: 2 days, 21:55:21, time: 1.360, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1884, s0.loss_cls: 0.1485, s0.acc: 94.6541, s0.loss_bbox: 0.0813, s0.loss_mask: 0.1986, s1.loss_cls: 0.0715, s1.acc: 94.8618, s1.loss_bbox: 0.0906, s1.loss_mask: 0.0940, s2.loss_cls: 0.0370, s2.acc: 94.5308, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0442, loss: 1.0638 2022-09-13 11:15:01,023 - mmdet - INFO - Epoch [11][6200/7330] lr: 1.000e-04, eta: 2 days, 21:54:13, time: 1.368, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1943, s0.loss_cls: 0.1415, s0.acc: 94.8350, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1972, s1.loss_cls: 0.0670, s1.acc: 95.0413, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0921, s2.loss_cls: 0.0343, s2.acc: 94.8406, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0433, loss: 1.0399 2022-09-13 11:16:08,674 - mmdet - INFO - Epoch [11][6250/7330] lr: 1.000e-04, eta: 2 days, 21:53:03, time: 1.353, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1816, s0.loss_cls: 0.1447, s0.acc: 94.8794, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1932, s1.loss_cls: 0.0684, s1.acc: 95.2030, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0902, s2.loss_cls: 0.0347, s2.acc: 94.9300, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0424, loss: 1.0278 2022-09-13 11:17:17,058 - mmdet - INFO - Epoch [11][6300/7330] lr: 1.000e-04, eta: 2 days, 21:51:56, time: 1.368, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1888, s0.loss_cls: 0.1523, s0.acc: 94.5615, s0.loss_bbox: 0.0820, s0.loss_mask: 0.1993, s1.loss_cls: 0.0729, s1.acc: 94.7643, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0944, s2.loss_cls: 0.0365, s2.acc: 94.6921, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0443, loss: 1.0678 2022-09-13 11:18:25,372 - mmdet - INFO - Epoch [11][6350/7330] lr: 1.000e-04, eta: 2 days, 21:50:47, time: 1.366, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1450, s0.acc: 94.8416, s0.loss_bbox: 0.0810, s0.loss_mask: 0.2058, s1.loss_cls: 0.0699, s1.acc: 94.9877, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0964, s2.loss_cls: 0.0359, s2.acc: 94.7200, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0452, loss: 1.0623 2022-09-13 11:19:32,818 - mmdet - INFO - Epoch [11][6400/7330] lr: 1.000e-04, eta: 2 days, 21:49:37, time: 1.349, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1774, s0.loss_cls: 0.1394, s0.acc: 95.0237, s0.loss_bbox: 0.0771, s0.loss_mask: 0.1973, s1.loss_cls: 0.0661, s1.acc: 95.3270, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0933, s2.loss_cls: 0.0337, s2.acc: 95.1935, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0443, loss: 1.0191 2022-09-13 11:20:41,301 - mmdet - INFO - Epoch [11][6450/7330] lr: 1.000e-04, eta: 2 days, 21:48:30, time: 1.370, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1848, s0.loss_cls: 0.1498, s0.acc: 94.6052, s0.loss_bbox: 0.0820, s0.loss_mask: 0.1970, s1.loss_cls: 0.0714, s1.acc: 94.8491, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0927, s2.loss_cls: 0.0366, s2.acc: 94.6601, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0436, loss: 1.0534 2022-09-13 11:21:49,277 - mmdet - INFO - Epoch [11][6500/7330] lr: 1.000e-04, eta: 2 days, 21:47:21, time: 1.360, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1872, s0.loss_cls: 0.1381, s0.acc: 95.0640, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1954, s1.loss_cls: 0.0663, s1.acc: 95.3284, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0921, s2.loss_cls: 0.0345, s2.acc: 94.9893, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0432, loss: 1.0274 2022-09-13 11:22:58,333 - mmdet - INFO - Epoch [11][6550/7330] lr: 1.000e-04, eta: 2 days, 21:46:14, time: 1.381, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1959, s0.loss_cls: 0.1485, s0.acc: 94.5845, s0.loss_bbox: 0.0839, s0.loss_mask: 0.2031, s1.loss_cls: 0.0717, s1.acc: 94.7852, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0954, s2.loss_cls: 0.0365, s2.acc: 94.5502, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0450, loss: 1.0840 2022-09-13 11:24:06,313 - mmdet - INFO - Epoch [11][6600/7330] lr: 1.000e-04, eta: 2 days, 21:45:06, time: 1.360, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1489, s0.acc: 94.6975, s0.loss_bbox: 0.0819, s0.loss_mask: 0.1960, s1.loss_cls: 0.0711, s1.acc: 94.9391, s1.loss_bbox: 0.0906, s1.loss_mask: 0.0909, s2.loss_cls: 0.0362, s2.acc: 94.7528, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0426, loss: 1.0597 2022-09-13 11:25:13,428 - mmdet - INFO - Epoch [11][6650/7330] lr: 1.000e-04, eta: 2 days, 21:43:55, time: 1.342, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1955, s0.loss_cls: 0.1557, s0.acc: 94.5181, s0.loss_bbox: 0.0863, s0.loss_mask: 0.2040, s1.loss_cls: 0.0751, s1.acc: 94.6347, s1.loss_bbox: 0.0973, s1.loss_mask: 0.0963, s2.loss_cls: 0.0383, s2.acc: 94.4272, s2.loss_bbox: 0.0614, s2.loss_mask: 0.0455, loss: 1.1053 2022-09-13 11:26:20,610 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 11:26:20,626 - mmdet - INFO - Epoch [11][6700/7330] lr: 1.000e-04, eta: 2 days, 21:42:44, time: 1.344, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1835, s0.loss_cls: 0.1475, s0.acc: 94.7085, s0.loss_bbox: 0.0818, s0.loss_mask: 0.2021, s1.loss_cls: 0.0711, s1.acc: 94.8688, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0949, s2.loss_cls: 0.0366, s2.acc: 94.5887, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0449, loss: 1.0615 2022-09-13 11:27:28,213 - mmdet - INFO - Epoch [11][6750/7330] lr: 1.000e-04, eta: 2 days, 21:41:34, time: 1.352, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0302, loss_semantic_seg: 0.1919, s0.loss_cls: 0.1507, s0.acc: 94.6797, s0.loss_bbox: 0.0823, s0.loss_mask: 0.1975, s1.loss_cls: 0.0729, s1.acc: 94.8159, s1.loss_bbox: 0.0909, s1.loss_mask: 0.0935, s2.loss_cls: 0.0371, s2.acc: 94.6544, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0436, loss: 1.0709 2022-09-13 11:28:37,289 - mmdet - INFO - Epoch [11][6800/7330] lr: 1.000e-04, eta: 2 days, 21:40:28, time: 1.382, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1442, s0.acc: 94.8662, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1987, s1.loss_cls: 0.0689, s1.acc: 95.0999, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0935, s2.loss_cls: 0.0353, s2.acc: 94.8790, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0439, loss: 1.0535 2022-09-13 11:29:45,733 - mmdet - INFO - Epoch [11][6850/7330] lr: 1.000e-04, eta: 2 days, 21:39:20, time: 1.369, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1934, s0.loss_cls: 0.1434, s0.acc: 94.9333, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1980, s1.loss_cls: 0.0692, s1.acc: 95.0895, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0924, s2.loss_cls: 0.0349, s2.acc: 94.9027, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0433, loss: 1.0419 2022-09-13 11:30:55,728 - mmdet - INFO - Epoch [11][6900/7330] lr: 1.000e-04, eta: 2 days, 21:38:16, time: 1.400, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1933, s0.loss_cls: 0.1485, s0.acc: 94.6702, s0.loss_bbox: 0.0832, s0.loss_mask: 0.1965, s1.loss_cls: 0.0717, s1.acc: 94.8857, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0923, s2.loss_cls: 0.0369, s2.acc: 94.6429, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0429, loss: 1.0647 2022-09-13 11:32:08,255 - mmdet - INFO - Epoch [11][6950/7330] lr: 1.000e-04, eta: 2 days, 21:37:18, time: 1.450, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1815, s0.loss_cls: 0.1427, s0.acc: 94.8201, s0.loss_bbox: 0.0777, s0.loss_mask: 0.2024, s1.loss_cls: 0.0687, s1.acc: 95.0243, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0952, s2.loss_cls: 0.0346, s2.acc: 94.8618, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0448, loss: 1.0341 2022-09-13 11:33:15,669 - mmdet - INFO - Epoch [11][7000/7330] lr: 1.000e-04, eta: 2 days, 21:36:07, time: 1.348, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1853, s0.loss_cls: 0.1480, s0.acc: 94.6809, s0.loss_bbox: 0.0816, s0.loss_mask: 0.1980, s1.loss_cls: 0.0703, s1.acc: 94.9087, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0925, s2.loss_cls: 0.0362, s2.acc: 94.6499, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0435, loss: 1.0551 2022-09-13 11:34:24,071 - mmdet - INFO - Epoch [11][7050/7330] lr: 1.000e-04, eta: 2 days, 21:35:00, time: 1.368, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0321, loss_semantic_seg: 0.1902, s0.loss_cls: 0.1600, s0.acc: 94.3752, s0.loss_bbox: 0.0882, s0.loss_mask: 0.2025, s1.loss_cls: 0.0769, s1.acc: 94.5820, s1.loss_bbox: 0.0940, s1.loss_mask: 0.0943, s2.loss_cls: 0.0387, s2.acc: 94.4423, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0439, loss: 1.1035 2022-09-13 11:35:34,705 - mmdet - INFO - Epoch [11][7100/7330] lr: 1.000e-04, eta: 2 days, 21:33:57, time: 1.413, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1962, s0.loss_cls: 0.1511, s0.acc: 94.5757, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1953, s1.loss_cls: 0.0725, s1.acc: 94.8203, s1.loss_bbox: 0.0911, s1.loss_mask: 0.0921, s2.loss_cls: 0.0365, s2.acc: 94.6604, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0430, loss: 1.0711 2022-09-13 11:36:43,555 - mmdet - INFO - Epoch [11][7150/7330] lr: 1.000e-04, eta: 2 days, 21:32:50, time: 1.377, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1929, s0.loss_cls: 0.1434, s0.acc: 94.9167, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1999, s1.loss_cls: 0.0683, s1.acc: 95.1641, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0948, s2.loss_cls: 0.0352, s2.acc: 94.9249, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0445, loss: 1.0516 2022-09-13 11:37:52,078 - mmdet - INFO - Epoch [11][7200/7330] lr: 1.000e-04, eta: 2 days, 21:31:42, time: 1.370, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1839, s0.loss_cls: 0.1404, s0.acc: 95.0442, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1924, s1.loss_cls: 0.0669, s1.acc: 95.2910, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0904, s2.loss_cls: 0.0343, s2.acc: 95.0946, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0426, loss: 1.0156 2022-09-13 11:39:04,359 - mmdet - INFO - Epoch [11][7250/7330] lr: 1.000e-04, eta: 2 days, 21:30:43, time: 1.446, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1925, s0.loss_cls: 0.1485, s0.acc: 94.7339, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1979, s1.loss_cls: 0.0717, s1.acc: 94.9137, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0932, s2.loss_cls: 0.0368, s2.acc: 94.6676, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0439, loss: 1.0526 2022-09-13 11:40:13,940 - mmdet - INFO - Epoch [11][7300/7330] lr: 1.000e-04, eta: 2 days, 21:29:38, time: 1.392, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1843, s0.loss_cls: 0.1501, s0.acc: 94.7151, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1983, s1.loss_cls: 0.0724, s1.acc: 94.8655, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0938, s2.loss_cls: 0.0364, s2.acc: 94.7129, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0444, loss: 1.0590 2022-09-13 11:41:04,483 - mmdet - INFO - Saving checkpoint at 11 epochs 2022-09-13 11:44:44,965 - mmdet - INFO - Evaluating bbox... 2022-09-13 11:45:47,088 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.551 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.744 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.610 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.419 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.589 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.665 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.728 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.728 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.728 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.590 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.765 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.846 2022-09-13 11:45:47,088 - mmdet - INFO - Evaluating segm... 2022-09-13 11:47:03,009 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.483 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.723 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.530 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.301 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.521 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.657 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.637 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.637 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.637 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.482 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.674 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.776 2022-09-13 11:47:04,422 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 11:47:04,424 - mmdet - INFO - Epoch(val) [11][313] bbox_mAP: 0.5510, bbox_mAP_50: 0.7440, bbox_mAP_75: 0.6100, bbox_mAP_s: 0.4190, bbox_mAP_m: 0.5890, bbox_mAP_l: 0.6650, bbox_mAP_copypaste: 0.551 0.744 0.610 0.419 0.589 0.665, segm_mAP: 0.4830, segm_mAP_50: 0.7230, segm_mAP_75: 0.5300, segm_mAP_s: 0.3010, segm_mAP_m: 0.5210, segm_mAP_l: 0.6570, segm_mAP_copypaste: 0.483 0.723 0.530 0.301 0.521 0.657 2022-09-13 11:50:11,452 - mmdet - INFO - Epoch [12][50/7330] lr: 1.000e-04, eta: 2 days, 21:30:45, time: 3.738, data_time: 2.343, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1842, s0.loss_cls: 0.1367, s0.acc: 95.0208, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1948, s1.loss_cls: 0.0660, s1.acc: 95.2043, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0920, s2.loss_cls: 0.0342, s2.acc: 94.8635, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0434, loss: 1.0126 2022-09-13 11:51:20,416 - mmdet - INFO - Epoch [12][100/7330] lr: 1.000e-04, eta: 2 days, 21:29:39, time: 1.381, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1810, s0.loss_cls: 0.1420, s0.acc: 94.9719, s0.loss_bbox: 0.0782, s0.loss_mask: 0.1978, s1.loss_cls: 0.0669, s1.acc: 95.2494, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0927, s2.loss_cls: 0.0337, s2.acc: 95.1604, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0436, loss: 1.0297 2022-09-13 11:52:29,209 - mmdet - INFO - Epoch [12][150/7330] lr: 1.000e-04, eta: 2 days, 21:28:31, time: 1.376, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1893, s0.loss_cls: 0.1463, s0.acc: 94.6577, s0.loss_bbox: 0.0821, s0.loss_mask: 0.1956, s1.loss_cls: 0.0703, s1.acc: 94.8475, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0915, s2.loss_cls: 0.0360, s2.acc: 94.6378, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0429, loss: 1.0538 2022-09-13 11:53:38,278 - mmdet - INFO - Epoch [12][200/7330] lr: 1.000e-04, eta: 2 days, 21:27:25, time: 1.381, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1775, s0.loss_cls: 0.1440, s0.acc: 94.8528, s0.loss_bbox: 0.0786, s0.loss_mask: 0.1973, s1.loss_cls: 0.0689, s1.acc: 95.0046, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0926, s2.loss_cls: 0.0354, s2.acc: 94.7916, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0439, loss: 1.0334 2022-09-13 11:54:46,499 - mmdet - INFO - Epoch [12][250/7330] lr: 1.000e-04, eta: 2 days, 21:26:16, time: 1.365, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1858, s0.loss_cls: 0.1442, s0.acc: 94.8230, s0.loss_bbox: 0.0816, s0.loss_mask: 0.1997, s1.loss_cls: 0.0694, s1.acc: 95.0647, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0940, s2.loss_cls: 0.0352, s2.acc: 94.8029, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0439, loss: 1.0503 2022-09-13 11:55:53,722 - mmdet - INFO - Epoch [12][300/7330] lr: 1.000e-04, eta: 2 days, 21:25:06, time: 1.345, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1877, s0.loss_cls: 0.1414, s0.acc: 94.9050, s0.loss_bbox: 0.0776, s0.loss_mask: 0.1981, s1.loss_cls: 0.0677, s1.acc: 95.0755, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0930, s2.loss_cls: 0.0342, s2.acc: 94.9907, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0438, loss: 1.0349 2022-09-13 11:57:01,707 - mmdet - INFO - Epoch [12][350/7330] lr: 1.000e-04, eta: 2 days, 21:23:57, time: 1.360, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1484, s0.acc: 94.6160, s0.loss_bbox: 0.0829, s0.loss_mask: 0.1959, s1.loss_cls: 0.0713, s1.acc: 94.8218, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0918, s2.loss_cls: 0.0370, s2.acc: 94.5566, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0435, loss: 1.0527 2022-09-13 11:58:09,856 - mmdet - INFO - Epoch [12][400/7330] lr: 1.000e-04, eta: 2 days, 21:22:48, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1818, s0.loss_cls: 0.1455, s0.acc: 94.8088, s0.loss_bbox: 0.0799, s0.loss_mask: 0.1959, s1.loss_cls: 0.0713, s1.acc: 94.9171, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0919, s2.loss_cls: 0.0366, s2.acc: 94.7539, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0434, loss: 1.0421 2022-09-13 11:59:17,951 - mmdet - INFO - Epoch [12][450/7330] lr: 1.000e-04, eta: 2 days, 21:21:39, time: 1.362, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1850, s0.loss_cls: 0.1408, s0.acc: 94.8481, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1929, s1.loss_cls: 0.0679, s1.acc: 95.0573, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0904, s2.loss_cls: 0.0349, s2.acc: 94.8712, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0426, loss: 1.0270 2022-09-13 12:00:29,709 - mmdet - INFO - Epoch [12][500/7330] lr: 1.000e-04, eta: 2 days, 21:20:39, time: 1.434, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1940, s0.loss_cls: 0.1440, s0.acc: 94.8391, s0.loss_bbox: 0.0826, s0.loss_mask: 0.2015, s1.loss_cls: 0.0692, s1.acc: 95.0542, s1.loss_bbox: 0.0898, s1.loss_mask: 0.0949, s2.loss_cls: 0.0350, s2.acc: 94.8915, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0448, loss: 1.0630 2022-09-13 12:01:37,524 - mmdet - INFO - Epoch [12][550/7330] lr: 1.000e-04, eta: 2 days, 21:19:29, time: 1.358, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1864, s0.loss_cls: 0.1390, s0.acc: 95.0613, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1863, s1.loss_cls: 0.0682, s1.acc: 95.1437, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0880, s2.loss_cls: 0.0350, s2.acc: 94.8475, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0419, loss: 1.0030 2022-09-13 12:02:45,733 - mmdet - INFO - Epoch [12][600/7330] lr: 1.000e-04, eta: 2 days, 21:18:21, time: 1.364, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1838, s0.loss_cls: 0.1445, s0.acc: 94.7944, s0.loss_bbox: 0.0810, s0.loss_mask: 0.2002, s1.loss_cls: 0.0703, s1.acc: 94.8635, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0940, s2.loss_cls: 0.0364, s2.acc: 94.6206, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0445, loss: 1.0518 2022-09-13 12:03:53,906 - mmdet - INFO - Epoch [12][650/7330] lr: 1.000e-04, eta: 2 days, 21:17:12, time: 1.363, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1921, s0.loss_cls: 0.1401, s0.acc: 94.9167, s0.loss_bbox: 0.0790, s0.loss_mask: 0.2024, s1.loss_cls: 0.0664, s1.acc: 95.1041, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0953, s2.loss_cls: 0.0344, s2.acc: 94.8065, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0446, loss: 1.0487 2022-09-13 12:05:01,350 - mmdet - INFO - Epoch [12][700/7330] lr: 1.000e-04, eta: 2 days, 21:16:02, time: 1.349, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1367, s0.acc: 95.1169, s0.loss_bbox: 0.0759, s0.loss_mask: 0.1979, s1.loss_cls: 0.0648, s1.acc: 95.3434, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0943, s2.loss_cls: 0.0334, s2.acc: 95.1076, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0444, loss: 1.0215 2022-09-13 12:06:10,270 - mmdet - INFO - Epoch [12][750/7330] lr: 1.000e-04, eta: 2 days, 21:14:55, time: 1.378, data_time: 0.015, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1810, s0.loss_cls: 0.1483, s0.acc: 94.7378, s0.loss_bbox: 0.0813, s0.loss_mask: 0.1985, s1.loss_cls: 0.0716, s1.acc: 94.9329, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0937, s2.loss_cls: 0.0366, s2.acc: 94.6761, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0440, loss: 1.0480 2022-09-13 12:07:18,385 - mmdet - INFO - Epoch [12][800/7330] lr: 1.000e-04, eta: 2 days, 21:13:46, time: 1.362, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1855, s0.loss_cls: 0.1420, s0.acc: 94.9055, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1962, s1.loss_cls: 0.0687, s1.acc: 95.2007, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0926, s2.loss_cls: 0.0351, s2.acc: 94.8841, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0431, loss: 1.0301 2022-09-13 12:08:25,769 - mmdet - INFO - Epoch [12][850/7330] lr: 1.000e-04, eta: 2 days, 21:12:36, time: 1.347, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1792, s0.loss_cls: 0.1405, s0.acc: 94.9666, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1924, s1.loss_cls: 0.0655, s1.acc: 95.2745, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0904, s2.loss_cls: 0.0346, s2.acc: 94.9625, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0432, loss: 1.0162 2022-09-13 12:09:33,576 - mmdet - INFO - Epoch [12][900/7330] lr: 1.000e-04, eta: 2 days, 21:11:26, time: 1.353, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0311, loss_semantic_seg: 0.1931, s0.loss_cls: 0.1481, s0.acc: 94.6853, s0.loss_bbox: 0.0821, s0.loss_mask: 0.1972, s1.loss_cls: 0.0720, s1.acc: 94.8335, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0932, s2.loss_cls: 0.0364, s2.acc: 94.6883, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0435, loss: 1.0685 2022-09-13 12:10:41,204 - mmdet - INFO - Epoch [12][950/7330] lr: 1.000e-04, eta: 2 days, 21:10:17, time: 1.356, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1948, s0.loss_cls: 0.1512, s0.acc: 94.5801, s0.loss_bbox: 0.0828, s0.loss_mask: 0.2017, s1.loss_cls: 0.0728, s1.acc: 94.7428, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0955, s2.loss_cls: 0.0373, s2.acc: 94.5432, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0453, loss: 1.0843 2022-09-13 12:11:49,767 - mmdet - INFO - Epoch [12][1000/7330] lr: 1.000e-04, eta: 2 days, 21:09:09, time: 1.371, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1846, s0.loss_cls: 0.1494, s0.acc: 94.6636, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1998, s1.loss_cls: 0.0726, s1.acc: 94.8115, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0935, s2.loss_cls: 0.0371, s2.acc: 94.5542, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0436, loss: 1.0604 2022-09-13 12:12:57,482 - mmdet - INFO - Epoch [12][1050/7330] lr: 1.000e-04, eta: 2 days, 21:08:00, time: 1.354, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1835, s0.loss_cls: 0.1445, s0.acc: 94.8071, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1971, s1.loss_cls: 0.0685, s1.acc: 95.0851, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0925, s2.loss_cls: 0.0346, s2.acc: 94.9034, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0434, loss: 1.0390 2022-09-13 12:14:05,465 - mmdet - INFO - Epoch [12][1100/7330] lr: 1.000e-04, eta: 2 days, 21:06:51, time: 1.360, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1833, s0.loss_cls: 0.1489, s0.acc: 94.6736, s0.loss_bbox: 0.0803, s0.loss_mask: 0.1931, s1.loss_cls: 0.0710, s1.acc: 94.9259, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0907, s2.loss_cls: 0.0359, s2.acc: 94.8283, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0427, loss: 1.0401 2022-09-13 12:15:13,632 - mmdet - INFO - Epoch [12][1150/7330] lr: 1.000e-04, eta: 2 days, 21:05:42, time: 1.363, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1902, s0.loss_cls: 0.1488, s0.acc: 94.6541, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1976, s1.loss_cls: 0.0714, s1.acc: 94.8525, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0927, s2.loss_cls: 0.0369, s2.acc: 94.6507, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0443, loss: 1.0580 2022-09-13 12:16:22,900 - mmdet - INFO - Epoch [12][1200/7330] lr: 1.000e-04, eta: 2 days, 21:04:36, time: 1.385, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1892, s0.loss_cls: 0.1474, s0.acc: 94.6802, s0.loss_bbox: 0.0799, s0.loss_mask: 0.1983, s1.loss_cls: 0.0718, s1.acc: 94.8303, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0930, s2.loss_cls: 0.0366, s2.acc: 94.6035, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0438, loss: 1.0580 2022-09-13 12:17:30,630 - mmdet - INFO - Epoch [12][1250/7330] lr: 1.000e-04, eta: 2 days, 21:03:26, time: 1.355, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1914, s0.loss_cls: 0.1479, s0.acc: 94.6807, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1981, s1.loss_cls: 0.0705, s1.acc: 94.8967, s1.loss_bbox: 0.0909, s1.loss_mask: 0.0926, s2.loss_cls: 0.0357, s2.acc: 94.6752, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0436, loss: 1.0592 2022-09-13 12:18:38,268 - mmdet - INFO - Epoch [12][1300/7330] lr: 1.000e-04, eta: 2 days, 21:02:16, time: 1.353, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1916, s0.loss_cls: 0.1421, s0.acc: 94.9490, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1904, s1.loss_cls: 0.0679, s1.acc: 95.1652, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0903, s2.loss_cls: 0.0343, s2.acc: 95.0059, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0424, loss: 1.0300 2022-09-13 12:19:45,969 - mmdet - INFO - Epoch [12][1350/7330] lr: 1.000e-04, eta: 2 days, 21:01:07, time: 1.354, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1861, s0.loss_cls: 0.1429, s0.acc: 94.8181, s0.loss_bbox: 0.0823, s0.loss_mask: 0.1984, s1.loss_cls: 0.0668, s1.acc: 95.1526, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0927, s2.loss_cls: 0.0339, s2.acc: 95.0049, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0434, loss: 1.0458 2022-09-13 12:20:53,824 - mmdet - INFO - Epoch [12][1400/7330] lr: 1.000e-04, eta: 2 days, 20:59:57, time: 1.356, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1862, s0.loss_cls: 0.1376, s0.acc: 95.0032, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1915, s1.loss_cls: 0.0662, s1.acc: 95.2313, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0905, s2.loss_cls: 0.0338, s2.acc: 95.0016, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0429, loss: 1.0138 2022-09-13 12:22:02,448 - mmdet - INFO - Epoch [12][1450/7330] lr: 1.000e-04, eta: 2 days, 20:58:50, time: 1.374, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1895, s0.loss_cls: 0.1431, s0.acc: 94.9617, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1887, s1.loss_cls: 0.0689, s1.acc: 95.2295, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0893, s2.loss_cls: 0.0353, s2.acc: 94.8959, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0417, loss: 1.0146 2022-09-13 12:23:09,397 - mmdet - INFO - Epoch [12][1500/7330] lr: 1.000e-04, eta: 2 days, 20:57:39, time: 1.339, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1475, s0.acc: 94.5933, s0.loss_bbox: 0.0811, s0.loss_mask: 0.1946, s1.loss_cls: 0.0705, s1.acc: 94.7971, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0911, s2.loss_cls: 0.0366, s2.acc: 94.5707, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0431, loss: 1.0444 2022-09-13 12:24:17,624 - mmdet - INFO - Epoch [12][1550/7330] lr: 1.000e-04, eta: 2 days, 20:56:30, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1400, s0.acc: 94.9456, s0.loss_bbox: 0.0782, s0.loss_mask: 0.1921, s1.loss_cls: 0.0685, s1.acc: 95.0218, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0902, s2.loss_cls: 0.0346, s2.acc: 94.8359, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0426, loss: 1.0180 2022-09-13 12:25:25,066 - mmdet - INFO - Epoch [12][1600/7330] lr: 1.000e-04, eta: 2 days, 20:55:20, time: 1.349, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1839, s0.loss_cls: 0.1409, s0.acc: 94.9756, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1898, s1.loss_cls: 0.0675, s1.acc: 95.1905, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0893, s2.loss_cls: 0.0344, s2.acc: 95.0382, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0423, loss: 1.0212 2022-09-13 12:26:33,042 - mmdet - INFO - Epoch [12][1650/7330] lr: 1.000e-04, eta: 2 days, 20:54:11, time: 1.359, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1872, s0.loss_cls: 0.1478, s0.acc: 94.7434, s0.loss_bbox: 0.0796, s0.loss_mask: 0.1973, s1.loss_cls: 0.0708, s1.acc: 94.9072, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0925, s2.loss_cls: 0.0359, s2.acc: 94.7408, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0434, loss: 1.0502 2022-09-13 12:27:40,867 - mmdet - INFO - Epoch [12][1700/7330] lr: 1.000e-04, eta: 2 days, 20:53:02, time: 1.356, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1907, s0.loss_cls: 0.1516, s0.acc: 94.5166, s0.loss_bbox: 0.0853, s0.loss_mask: 0.2021, s1.loss_cls: 0.0715, s1.acc: 94.7863, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0949, s2.loss_cls: 0.0364, s2.acc: 94.6064, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0446, loss: 1.0801 2022-09-13 12:28:48,361 - mmdet - INFO - Epoch [12][1750/7330] lr: 1.000e-04, eta: 2 days, 20:51:52, time: 1.350, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1814, s0.loss_cls: 0.1470, s0.acc: 94.7371, s0.loss_bbox: 0.0810, s0.loss_mask: 0.1951, s1.loss_cls: 0.0713, s1.acc: 94.8420, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0919, s2.loss_cls: 0.0367, s2.acc: 94.5991, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0435, loss: 1.0485 2022-09-13 12:29:57,172 - mmdet - INFO - Epoch [12][1800/7330] lr: 1.000e-04, eta: 2 days, 20:50:45, time: 1.376, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1895, s0.loss_cls: 0.1445, s0.acc: 94.7283, s0.loss_bbox: 0.0848, s0.loss_mask: 0.1992, s1.loss_cls: 0.0687, s1.acc: 95.0353, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0941, s2.loss_cls: 0.0352, s2.acc: 94.8424, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0442, loss: 1.0602 2022-09-13 12:31:05,145 - mmdet - INFO - Epoch [12][1850/7330] lr: 1.000e-04, eta: 2 days, 20:49:35, time: 1.358, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1901, s0.loss_cls: 0.1452, s0.acc: 94.7568, s0.loss_bbox: 0.0814, s0.loss_mask: 0.2034, s1.loss_cls: 0.0705, s1.acc: 94.9387, s1.loss_bbox: 0.0909, s1.loss_mask: 0.0958, s2.loss_cls: 0.0361, s2.acc: 94.7375, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0450, loss: 1.0675 2022-09-13 12:32:13,386 - mmdet - INFO - Epoch [12][1900/7330] lr: 1.000e-04, eta: 2 days, 20:48:27, time: 1.367, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1864, s0.loss_cls: 0.1584, s0.acc: 94.3735, s0.loss_bbox: 0.0841, s0.loss_mask: 0.2006, s1.loss_cls: 0.0765, s1.acc: 94.5579, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0940, s2.loss_cls: 0.0387, s2.acc: 94.4064, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0443, loss: 1.0866 2022-09-13 12:33:21,341 - mmdet - INFO - Epoch [12][1950/7330] lr: 1.000e-04, eta: 2 days, 20:47:18, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1762, s0.loss_cls: 0.1341, s0.acc: 95.1235, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1907, s1.loss_cls: 0.0646, s1.acc: 95.3556, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0898, s2.loss_cls: 0.0332, s2.acc: 95.1743, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0419, loss: 0.9920 2022-09-13 12:34:29,413 - mmdet - INFO - Epoch [12][2000/7330] lr: 1.000e-04, eta: 2 days, 20:46:09, time: 1.361, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1844, s0.loss_cls: 0.1466, s0.acc: 94.6165, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1965, s1.loss_cls: 0.0701, s1.acc: 94.8385, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0921, s2.loss_cls: 0.0360, s2.acc: 94.6611, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0432, loss: 1.0508 2022-09-13 12:35:37,064 - mmdet - INFO - Epoch [12][2050/7330] lr: 1.000e-04, eta: 2 days, 20:45:00, time: 1.353, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1901, s0.loss_cls: 0.1530, s0.acc: 94.4717, s0.loss_bbox: 0.0833, s0.loss_mask: 0.2022, s1.loss_cls: 0.0739, s1.acc: 94.5842, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0943, s2.loss_cls: 0.0377, s2.acc: 94.4710, s2.loss_bbox: 0.0607, s2.loss_mask: 0.0446, loss: 1.0848 2022-09-13 12:36:44,492 - mmdet - INFO - Epoch [12][2100/7330] lr: 1.000e-04, eta: 2 days, 20:43:49, time: 1.349, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1820, s0.loss_cls: 0.1509, s0.acc: 94.5078, s0.loss_bbox: 0.0857, s0.loss_mask: 0.2022, s1.loss_cls: 0.0736, s1.acc: 94.5652, s1.loss_bbox: 0.0932, s1.loss_mask: 0.0941, s2.loss_cls: 0.0372, s2.acc: 94.4476, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0441, loss: 1.0710 2022-09-13 12:37:53,072 - mmdet - INFO - Epoch [12][2150/7330] lr: 1.000e-04, eta: 2 days, 20:42:42, time: 1.372, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1433, s0.acc: 94.7871, s0.loss_bbox: 0.0821, s0.loss_mask: 0.1983, s1.loss_cls: 0.0693, s1.acc: 95.0013, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0937, s2.loss_cls: 0.0357, s2.acc: 94.6381, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0443, loss: 1.0568 2022-09-13 12:39:02,654 - mmdet - INFO - Epoch [12][2200/7330] lr: 1.000e-04, eta: 2 days, 20:41:36, time: 1.389, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1858, s0.loss_cls: 0.1378, s0.acc: 95.0823, s0.loss_bbox: 0.0782, s0.loss_mask: 0.1937, s1.loss_cls: 0.0671, s1.acc: 95.2155, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0908, s2.loss_cls: 0.0342, s2.acc: 95.0208, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0432, loss: 1.0207 2022-09-13 12:40:10,235 - mmdet - INFO - Epoch [12][2250/7330] lr: 1.000e-04, eta: 2 days, 20:40:26, time: 1.354, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1839, s0.loss_cls: 0.1426, s0.acc: 94.8809, s0.loss_bbox: 0.0808, s0.loss_mask: 0.1993, s1.loss_cls: 0.0673, s1.acc: 95.2560, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0948, s2.loss_cls: 0.0346, s2.acc: 94.9939, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0446, loss: 1.0469 2022-09-13 12:41:18,501 - mmdet - INFO - Epoch [12][2300/7330] lr: 1.000e-04, eta: 2 days, 20:39:18, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1928, s0.loss_cls: 0.1481, s0.acc: 94.7444, s0.loss_bbox: 0.0837, s0.loss_mask: 0.1988, s1.loss_cls: 0.0721, s1.acc: 94.8448, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0935, s2.loss_cls: 0.0368, s2.acc: 94.5956, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0442, loss: 1.0701 2022-09-13 12:42:26,332 - mmdet - INFO - Epoch [12][2350/7330] lr: 1.000e-04, eta: 2 days, 20:38:09, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1940, s0.loss_cls: 0.1383, s0.acc: 94.9863, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1917, s1.loss_cls: 0.0657, s1.acc: 95.2973, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0903, s2.loss_cls: 0.0335, s2.acc: 95.1176, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0425, loss: 1.0248 2022-09-13 12:43:33,912 - mmdet - INFO - Epoch [12][2400/7330] lr: 1.000e-04, eta: 2 days, 20:36:59, time: 1.351, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1925, s0.loss_cls: 0.1390, s0.acc: 95.0159, s0.loss_bbox: 0.0793, s0.loss_mask: 0.1934, s1.loss_cls: 0.0665, s1.acc: 95.2881, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0910, s2.loss_cls: 0.0336, s2.acc: 95.1152, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0430, loss: 1.0271 2022-09-13 12:44:41,885 - mmdet - INFO - Epoch [12][2450/7330] lr: 1.000e-04, eta: 2 days, 20:35:50, time: 1.360, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.2016, s0.loss_cls: 0.1529, s0.acc: 94.6294, s0.loss_bbox: 0.0802, s0.loss_mask: 0.1987, s1.loss_cls: 0.0736, s1.acc: 94.8079, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0937, s2.loss_cls: 0.0372, s2.acc: 94.6689, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0439, loss: 1.0786 2022-09-13 12:45:50,568 - mmdet - INFO - Epoch [12][2500/7330] lr: 1.000e-04, eta: 2 days, 20:34:42, time: 1.374, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1892, s0.loss_cls: 0.1509, s0.acc: 94.6289, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1985, s1.loss_cls: 0.0717, s1.acc: 94.8845, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0935, s2.loss_cls: 0.0362, s2.acc: 94.7886, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0443, loss: 1.0711 2022-09-13 12:46:58,726 - mmdet - INFO - Epoch [12][2550/7330] lr: 1.000e-04, eta: 2 days, 20:33:34, time: 1.361, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1848, s0.loss_cls: 0.1491, s0.acc: 94.7507, s0.loss_bbox: 0.0812, s0.loss_mask: 0.1933, s1.loss_cls: 0.0718, s1.acc: 94.9158, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0908, s2.loss_cls: 0.0367, s2.acc: 94.7306, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0427, loss: 1.0464 2022-09-13 12:48:06,959 - mmdet - INFO - Epoch [12][2600/7330] lr: 1.000e-04, eta: 2 days, 20:32:25, time: 1.366, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1768, s0.loss_cls: 0.1496, s0.acc: 94.6917, s0.loss_bbox: 0.0821, s0.loss_mask: 0.1980, s1.loss_cls: 0.0729, s1.acc: 94.8477, s1.loss_bbox: 0.0898, s1.loss_mask: 0.0919, s2.loss_cls: 0.0368, s2.acc: 94.6621, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0433, loss: 1.0479 2022-09-13 12:49:14,710 - mmdet - INFO - Epoch [12][2650/7330] lr: 1.000e-04, eta: 2 days, 20:31:16, time: 1.355, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1903, s0.loss_cls: 0.1434, s0.acc: 94.7529, s0.loss_bbox: 0.0823, s0.loss_mask: 0.2001, s1.loss_cls: 0.0683, s1.acc: 94.9981, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0940, s2.loss_cls: 0.0354, s2.acc: 94.6785, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0438, loss: 1.0561 2022-09-13 12:50:22,143 - mmdet - INFO - Epoch [12][2700/7330] lr: 1.000e-04, eta: 2 days, 20:30:06, time: 1.349, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1861, s0.loss_cls: 0.1443, s0.acc: 94.7622, s0.loss_bbox: 0.0806, s0.loss_mask: 0.1996, s1.loss_cls: 0.0686, s1.acc: 94.9735, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0940, s2.loss_cls: 0.0350, s2.acc: 94.8309, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0442, loss: 1.0504 2022-09-13 12:51:30,859 - mmdet - INFO - Epoch [12][2750/7330] lr: 1.000e-04, eta: 2 days, 20:28:58, time: 1.374, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1873, s0.loss_cls: 0.1396, s0.acc: 94.9563, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1915, s1.loss_cls: 0.0662, s1.acc: 95.2035, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0899, s2.loss_cls: 0.0340, s2.acc: 95.0687, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0425, loss: 1.0190 2022-09-13 12:52:39,320 - mmdet - INFO - Epoch [12][2800/7330] lr: 1.000e-04, eta: 2 days, 20:27:50, time: 1.370, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1845, s0.loss_cls: 0.1418, s0.acc: 94.8169, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1935, s1.loss_cls: 0.0680, s1.acc: 95.0686, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0905, s2.loss_cls: 0.0351, s2.acc: 94.8153, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0426, loss: 1.0246 2022-09-13 12:53:46,705 - mmdet - INFO - Epoch [12][2850/7330] lr: 1.000e-04, eta: 2 days, 20:26:40, time: 1.347, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1894, s0.loss_cls: 0.1408, s0.acc: 94.8726, s0.loss_bbox: 0.0797, s0.loss_mask: 0.2002, s1.loss_cls: 0.0673, s1.acc: 95.0791, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0938, s2.loss_cls: 0.0344, s2.acc: 94.8506, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0442, loss: 1.0487 2022-09-13 12:54:55,544 - mmdet - INFO - Epoch [12][2900/7330] lr: 1.000e-04, eta: 2 days, 20:25:33, time: 1.377, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1919, s0.loss_cls: 0.1509, s0.acc: 94.6233, s0.loss_bbox: 0.0831, s0.loss_mask: 0.2048, s1.loss_cls: 0.0717, s1.acc: 94.8284, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0963, s2.loss_cls: 0.0359, s2.acc: 94.6923, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0454, loss: 1.0827 2022-09-13 12:56:03,759 - mmdet - INFO - Epoch [12][2950/7330] lr: 1.000e-04, eta: 2 days, 20:24:25, time: 1.364, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1389, s0.acc: 94.9077, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1956, s1.loss_cls: 0.0662, s1.acc: 95.1760, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0924, s2.loss_cls: 0.0342, s2.acc: 94.8435, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0435, loss: 1.0214 2022-09-13 12:57:12,712 - mmdet - INFO - Epoch [12][3000/7330] lr: 1.000e-04, eta: 2 days, 20:23:18, time: 1.379, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1844, s0.loss_cls: 0.1397, s0.acc: 94.9419, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1941, s1.loss_cls: 0.0682, s1.acc: 95.0806, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0912, s2.loss_cls: 0.0346, s2.acc: 94.8819, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0430, loss: 1.0271 2022-09-13 12:58:20,496 - mmdet - INFO - Epoch [12][3050/7330] lr: 1.000e-04, eta: 2 days, 20:22:08, time: 1.355, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1883, s0.loss_cls: 0.1430, s0.acc: 94.8403, s0.loss_bbox: 0.0794, s0.loss_mask: 0.2003, s1.loss_cls: 0.0693, s1.acc: 94.9736, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0943, s2.loss_cls: 0.0352, s2.acc: 94.7383, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0445, loss: 1.0476 2022-09-13 12:59:28,415 - mmdet - INFO - Epoch [12][3100/7330] lr: 1.000e-04, eta: 2 days, 20:20:59, time: 1.358, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1939, s0.loss_cls: 0.1411, s0.acc: 94.9644, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1969, s1.loss_cls: 0.0678, s1.acc: 95.1309, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0926, s2.loss_cls: 0.0348, s2.acc: 94.8289, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0437, loss: 1.0419 2022-09-13 13:00:37,919 - mmdet - INFO - Epoch [12][3150/7330] lr: 1.000e-04, eta: 2 days, 20:19:54, time: 1.390, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1857, s0.loss_cls: 0.1418, s0.acc: 94.7791, s0.loss_bbox: 0.0822, s0.loss_mask: 0.2031, s1.loss_cls: 0.0674, s1.acc: 95.0182, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0956, s2.loss_cls: 0.0347, s2.acc: 94.8838, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0454, loss: 1.0540 2022-09-13 13:01:45,334 - mmdet - INFO - Epoch [12][3200/7330] lr: 1.000e-04, eta: 2 days, 20:18:43, time: 1.348, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1863, s0.loss_cls: 0.1447, s0.acc: 94.7471, s0.loss_bbox: 0.0816, s0.loss_mask: 0.2010, s1.loss_cls: 0.0694, s1.acc: 94.9646, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0948, s2.loss_cls: 0.0354, s2.acc: 94.7280, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0445, loss: 1.0551 2022-09-13 13:02:52,550 - mmdet - INFO - Epoch [12][3250/7330] lr: 1.000e-04, eta: 2 days, 20:17:33, time: 1.344, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1914, s0.loss_cls: 0.1396, s0.acc: 94.9880, s0.loss_bbox: 0.0791, s0.loss_mask: 0.2013, s1.loss_cls: 0.0673, s1.acc: 95.1292, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0948, s2.loss_cls: 0.0337, s2.acc: 94.9832, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0442, loss: 1.0412 2022-09-13 13:04:00,956 - mmdet - INFO - Epoch [12][3300/7330] lr: 1.000e-04, eta: 2 days, 20:16:25, time: 1.368, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1373, s0.acc: 95.0217, s0.loss_bbox: 0.0772, s0.loss_mask: 0.2009, s1.loss_cls: 0.0658, s1.acc: 95.2110, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0954, s2.loss_cls: 0.0334, s2.acc: 95.0782, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0449, loss: 1.0260 2022-09-13 13:05:08,426 - mmdet - INFO - Epoch [12][3350/7330] lr: 1.000e-04, eta: 2 days, 20:15:15, time: 1.349, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1898, s0.loss_cls: 0.1401, s0.acc: 95.0044, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1956, s1.loss_cls: 0.0668, s1.acc: 95.2781, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0921, s2.loss_cls: 0.0339, s2.acc: 95.0502, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0434, loss: 1.0254 2022-09-13 13:06:16,971 - mmdet - INFO - Epoch [12][3400/7330] lr: 1.000e-04, eta: 2 days, 20:14:07, time: 1.371, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1793, s0.loss_cls: 0.1347, s0.acc: 95.2021, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1934, s1.loss_cls: 0.0643, s1.acc: 95.3557, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0910, s2.loss_cls: 0.0326, s2.acc: 95.2280, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0427, loss: 1.0019 2022-09-13 13:07:25,356 - mmdet - INFO - Epoch [12][3450/7330] lr: 1.000e-04, eta: 2 days, 20:12:59, time: 1.366, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1819, s0.loss_cls: 0.1472, s0.acc: 94.6731, s0.loss_bbox: 0.0834, s0.loss_mask: 0.1960, s1.loss_cls: 0.0703, s1.acc: 94.9043, s1.loss_bbox: 0.0927, s1.loss_mask: 0.0921, s2.loss_cls: 0.0356, s2.acc: 94.7892, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0431, loss: 1.0549 2022-09-13 13:08:33,323 - mmdet - INFO - Epoch [12][3500/7330] lr: 1.000e-04, eta: 2 days, 20:11:50, time: 1.360, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1828, s0.loss_cls: 0.1411, s0.acc: 94.8750, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1977, s1.loss_cls: 0.0671, s1.acc: 95.1657, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0930, s2.loss_cls: 0.0344, s2.acc: 94.9097, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0439, loss: 1.0347 2022-09-13 13:09:40,982 - mmdet - INFO - Epoch [12][3550/7330] lr: 1.000e-04, eta: 2 days, 20:10:40, time: 1.352, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1335, s0.acc: 95.1079, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1905, s1.loss_cls: 0.0637, s1.acc: 95.3912, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0904, s2.loss_cls: 0.0329, s2.acc: 95.2147, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0428, loss: 0.9933 2022-09-13 13:10:48,521 - mmdet - INFO - Epoch [12][3600/7330] lr: 1.000e-04, eta: 2 days, 20:09:30, time: 1.353, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1809, s0.loss_cls: 0.1416, s0.acc: 94.9158, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1968, s1.loss_cls: 0.0665, s1.acc: 95.2455, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0925, s2.loss_cls: 0.0342, s2.acc: 94.9498, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0436, loss: 1.0263 2022-09-13 13:11:56,598 - mmdet - INFO - Epoch [12][3650/7330] lr: 1.000e-04, eta: 2 days, 20:08:21, time: 1.361, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1405, s0.acc: 95.0796, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1917, s1.loss_cls: 0.0682, s1.acc: 95.1805, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0903, s2.loss_cls: 0.0346, s2.acc: 95.0118, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0427, loss: 1.0080 2022-09-13 13:13:04,259 - mmdet - INFO - Epoch [12][3700/7330] lr: 1.000e-04, eta: 2 days, 20:07:12, time: 1.353, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1428, s0.acc: 94.8621, s0.loss_bbox: 0.0799, s0.loss_mask: 0.1942, s1.loss_cls: 0.0687, s1.acc: 95.0082, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0913, s2.loss_cls: 0.0345, s2.acc: 94.8786, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0431, loss: 1.0323 2022-09-13 13:14:12,228 - mmdet - INFO - Epoch [12][3750/7330] lr: 1.000e-04, eta: 2 days, 20:06:03, time: 1.359, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1881, s0.loss_cls: 0.1504, s0.acc: 94.6946, s0.loss_bbox: 0.0806, s0.loss_mask: 0.2016, s1.loss_cls: 0.0715, s1.acc: 94.8806, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0946, s2.loss_cls: 0.0361, s2.acc: 94.6117, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0444, loss: 1.0595 2022-09-13 13:15:20,602 - mmdet - INFO - Epoch [12][3800/7330] lr: 1.000e-04, eta: 2 days, 20:04:55, time: 1.367, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1781, s0.loss_cls: 0.1318, s0.acc: 95.1506, s0.loss_bbox: 0.0760, s0.loss_mask: 0.1990, s1.loss_cls: 0.0629, s1.acc: 95.4246, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0948, s2.loss_cls: 0.0325, s2.acc: 95.1138, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0441, loss: 1.0042 2022-09-13 13:16:28,792 - mmdet - INFO - Epoch [12][3850/7330] lr: 1.000e-04, eta: 2 days, 20:03:46, time: 1.364, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1924, s0.loss_cls: 0.1453, s0.acc: 94.8599, s0.loss_bbox: 0.0813, s0.loss_mask: 0.1964, s1.loss_cls: 0.0699, s1.acc: 95.1151, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0918, s2.loss_cls: 0.0356, s2.acc: 94.8646, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0429, loss: 1.0497 2022-09-13 13:17:36,778 - mmdet - INFO - Epoch [12][3900/7330] lr: 1.000e-04, eta: 2 days, 20:02:37, time: 1.360, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1901, s0.loss_cls: 0.1505, s0.acc: 94.6584, s0.loss_bbox: 0.0862, s0.loss_mask: 0.2062, s1.loss_cls: 0.0709, s1.acc: 94.9387, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0970, s2.loss_cls: 0.0363, s2.acc: 94.6794, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0457, loss: 1.0860 2022-09-13 13:18:44,712 - mmdet - INFO - Epoch [12][3950/7330] lr: 1.000e-04, eta: 2 days, 20:01:28, time: 1.359, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1869, s0.loss_cls: 0.1503, s0.acc: 94.5808, s0.loss_bbox: 0.0821, s0.loss_mask: 0.1991, s1.loss_cls: 0.0723, s1.acc: 94.8610, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0935, s2.loss_cls: 0.0371, s2.acc: 94.5339, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0439, loss: 1.0637 2022-09-13 13:19:52,320 - mmdet - INFO - Epoch [12][4000/7330] lr: 1.000e-04, eta: 2 days, 20:00:18, time: 1.350, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1905, s0.loss_cls: 0.1448, s0.acc: 94.8628, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1989, s1.loss_cls: 0.0698, s1.acc: 95.0949, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0937, s2.loss_cls: 0.0357, s2.acc: 94.8314, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0439, loss: 1.0519 2022-09-13 13:21:01,369 - mmdet - INFO - Epoch [12][4050/7330] lr: 1.000e-04, eta: 2 days, 19:59:12, time: 1.382, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1899, s0.loss_cls: 0.1437, s0.acc: 94.8787, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1953, s1.loss_cls: 0.0683, s1.acc: 95.1120, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0919, s2.loss_cls: 0.0347, s2.acc: 94.9697, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0434, loss: 1.0481 2022-09-13 13:22:09,590 - mmdet - INFO - Epoch [12][4100/7330] lr: 1.000e-04, eta: 2 days, 19:58:03, time: 1.365, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1859, s0.loss_cls: 0.1385, s0.acc: 95.0034, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1967, s1.loss_cls: 0.0669, s1.acc: 95.3093, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0927, s2.loss_cls: 0.0338, s2.acc: 95.1090, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0437, loss: 1.0274 2022-09-13 13:23:17,983 - mmdet - INFO - Epoch [12][4150/7330] lr: 1.000e-04, eta: 2 days, 19:56:55, time: 1.368, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1838, s0.loss_cls: 0.1484, s0.acc: 94.7307, s0.loss_bbox: 0.0834, s0.loss_mask: 0.1966, s1.loss_cls: 0.0706, s1.acc: 94.9135, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0927, s2.loss_cls: 0.0356, s2.acc: 94.8131, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0437, loss: 1.0537 2022-09-13 13:24:25,881 - mmdet - INFO - Epoch [12][4200/7330] lr: 1.000e-04, eta: 2 days, 19:55:46, time: 1.356, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1870, s0.loss_cls: 0.1425, s0.acc: 94.7996, s0.loss_bbox: 0.0822, s0.loss_mask: 0.2001, s1.loss_cls: 0.0690, s1.acc: 94.9693, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0941, s2.loss_cls: 0.0351, s2.acc: 94.7771, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0442, loss: 1.0538 2022-09-13 13:25:33,625 - mmdet - INFO - Epoch [12][4250/7330] lr: 1.000e-04, eta: 2 days, 19:54:37, time: 1.357, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1876, s0.loss_cls: 0.1445, s0.acc: 94.8032, s0.loss_bbox: 0.0799, s0.loss_mask: 0.1955, s1.loss_cls: 0.0702, s1.acc: 94.9017, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0921, s2.loss_cls: 0.0355, s2.acc: 94.8171, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0429, loss: 1.0458 2022-09-13 13:26:41,688 - mmdet - INFO - Epoch [12][4300/7330] lr: 1.000e-04, eta: 2 days, 19:53:28, time: 1.361, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1767, s0.loss_cls: 0.1427, s0.acc: 94.8577, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1925, s1.loss_cls: 0.0680, s1.acc: 95.0940, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0909, s2.loss_cls: 0.0352, s2.acc: 94.8218, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0425, loss: 1.0176 2022-09-13 13:27:51,451 - mmdet - INFO - Epoch [12][4350/7330] lr: 1.000e-04, eta: 2 days, 19:52:23, time: 1.396, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0305, loss_semantic_seg: 0.1856, s0.loss_cls: 0.1487, s0.acc: 94.5837, s0.loss_bbox: 0.0854, s0.loss_mask: 0.2069, s1.loss_cls: 0.0721, s1.acc: 94.7588, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0972, s2.loss_cls: 0.0366, s2.acc: 94.6224, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0459, loss: 1.0849 2022-09-13 13:29:00,764 - mmdet - INFO - Epoch [12][4400/7330] lr: 1.000e-04, eta: 2 days, 19:51:17, time: 1.386, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1864, s0.loss_cls: 0.1463, s0.acc: 94.6960, s0.loss_bbox: 0.0809, s0.loss_mask: 0.1972, s1.loss_cls: 0.0699, s1.acc: 94.8885, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0927, s2.loss_cls: 0.0354, s2.acc: 94.6968, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0440, loss: 1.0540 2022-09-13 13:30:08,927 - mmdet - INFO - Epoch [12][4450/7330] lr: 1.000e-04, eta: 2 days, 19:50:08, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1951, s0.loss_cls: 0.1487, s0.acc: 94.7263, s0.loss_bbox: 0.0823, s0.loss_mask: 0.2061, s1.loss_cls: 0.0720, s1.acc: 94.8773, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0968, s2.loss_cls: 0.0371, s2.acc: 94.6190, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0456, loss: 1.0849 2022-09-13 13:31:16,476 - mmdet - INFO - Epoch [12][4500/7330] lr: 1.000e-04, eta: 2 days, 19:48:58, time: 1.350, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1906, s0.loss_cls: 0.1416, s0.acc: 94.9043, s0.loss_bbox: 0.0802, s0.loss_mask: 0.1976, s1.loss_cls: 0.0682, s1.acc: 94.9885, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0927, s2.loss_cls: 0.0348, s2.acc: 94.8111, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0438, loss: 1.0423 2022-09-13 13:32:24,237 - mmdet - INFO - Epoch [12][4550/7330] lr: 1.000e-04, eta: 2 days, 19:47:49, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1815, s0.loss_cls: 0.1417, s0.acc: 94.9639, s0.loss_bbox: 0.0795, s0.loss_mask: 0.2002, s1.loss_cls: 0.0681, s1.acc: 95.2062, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0944, s2.loss_cls: 0.0345, s2.acc: 95.0053, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0445, loss: 1.0398 2022-09-13 13:33:31,986 - mmdet - INFO - Epoch [12][4600/7330] lr: 1.000e-04, eta: 2 days, 19:46:39, time: 1.355, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1776, s0.loss_cls: 0.1366, s0.acc: 95.0554, s0.loss_bbox: 0.0764, s0.loss_mask: 0.1921, s1.loss_cls: 0.0653, s1.acc: 95.2949, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0898, s2.loss_cls: 0.0329, s2.acc: 95.1910, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0423, loss: 1.0046 2022-09-13 13:34:39,652 - mmdet - INFO - Epoch [12][4650/7330] lr: 1.000e-04, eta: 2 days, 19:45:30, time: 1.353, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1881, s0.loss_cls: 0.1405, s0.acc: 95.0430, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1956, s1.loss_cls: 0.0677, s1.acc: 95.2314, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0913, s2.loss_cls: 0.0348, s2.acc: 95.0016, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0428, loss: 1.0279 2022-09-13 13:35:47,772 - mmdet - INFO - Epoch [12][4700/7330] lr: 1.000e-04, eta: 2 days, 19:44:21, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1843, s0.loss_cls: 0.1430, s0.acc: 94.8411, s0.loss_bbox: 0.0779, s0.loss_mask: 0.1989, s1.loss_cls: 0.0692, s1.acc: 95.0002, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0940, s2.loss_cls: 0.0350, s2.acc: 94.9041, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0441, loss: 1.0356 2022-09-13 13:36:56,648 - mmdet - INFO - Epoch [12][4750/7330] lr: 1.000e-04, eta: 2 days, 19:43:14, time: 1.377, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1962, s0.loss_cls: 0.1491, s0.acc: 94.6965, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1993, s1.loss_cls: 0.0716, s1.acc: 94.8997, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0937, s2.loss_cls: 0.0361, s2.acc: 94.6650, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0443, loss: 1.0725 2022-09-13 13:38:04,729 - mmdet - INFO - Epoch [12][4800/7330] lr: 1.000e-04, eta: 2 days, 19:42:05, time: 1.362, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1968, s0.loss_cls: 0.1488, s0.acc: 94.6602, s0.loss_bbox: 0.0809, s0.loss_mask: 0.1961, s1.loss_cls: 0.0714, s1.acc: 94.8547, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0924, s2.loss_cls: 0.0367, s2.acc: 94.5467, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0435, loss: 1.0638 2022-09-13 13:39:13,234 - mmdet - INFO - Epoch [12][4850/7330] lr: 1.000e-04, eta: 2 days, 19:40:58, time: 1.370, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1849, s0.loss_cls: 0.1402, s0.acc: 94.9614, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1968, s1.loss_cls: 0.0659, s1.acc: 95.2905, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0923, s2.loss_cls: 0.0335, s2.acc: 95.0802, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0436, loss: 1.0267 2022-09-13 13:40:21,534 - mmdet - INFO - Epoch [12][4900/7330] lr: 1.000e-04, eta: 2 days, 19:39:49, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1826, s0.loss_cls: 0.1444, s0.acc: 94.7566, s0.loss_bbox: 0.0846, s0.loss_mask: 0.2032, s1.loss_cls: 0.0686, s1.acc: 95.0207, s1.loss_bbox: 0.0945, s1.loss_mask: 0.0960, s2.loss_cls: 0.0343, s2.acc: 94.9373, s2.loss_bbox: 0.0602, s2.loss_mask: 0.0453, loss: 1.0644 2022-09-13 13:41:28,575 - mmdet - INFO - Epoch [12][4950/7330] lr: 1.000e-04, eta: 2 days, 19:38:38, time: 1.341, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1907, s0.loss_cls: 0.1379, s0.acc: 95.1428, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1962, s1.loss_cls: 0.0652, s1.acc: 95.4027, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0927, s2.loss_cls: 0.0332, s2.acc: 95.1929, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0436, loss: 1.0164 2022-09-13 13:42:36,646 - mmdet - INFO - Epoch [12][5000/7330] lr: 1.000e-04, eta: 2 days, 19:37:30, time: 1.362, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1930, s0.loss_cls: 0.1428, s0.acc: 94.8889, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1971, s1.loss_cls: 0.0685, s1.acc: 95.1446, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0926, s2.loss_cls: 0.0343, s2.acc: 94.9908, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0433, loss: 1.0416 2022-09-13 13:43:45,119 - mmdet - INFO - Epoch [12][5050/7330] lr: 1.000e-04, eta: 2 days, 19:36:22, time: 1.370, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1901, s0.loss_cls: 0.1462, s0.acc: 94.6792, s0.loss_bbox: 0.0850, s0.loss_mask: 0.2000, s1.loss_cls: 0.0686, s1.acc: 94.9652, s1.loss_bbox: 0.0931, s1.loss_mask: 0.0945, s2.loss_cls: 0.0352, s2.acc: 94.7201, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0443, loss: 1.0658 2022-09-13 13:44:53,849 - mmdet - INFO - Epoch [12][5100/7330] lr: 1.000e-04, eta: 2 days, 19:35:14, time: 1.374, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1883, s0.loss_cls: 0.1495, s0.acc: 94.8330, s0.loss_bbox: 0.0812, s0.loss_mask: 0.1998, s1.loss_cls: 0.0705, s1.acc: 95.0635, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0932, s2.loss_cls: 0.0354, s2.acc: 94.8543, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0437, loss: 1.0581 2022-09-13 13:46:01,697 - mmdet - INFO - Epoch [12][5150/7330] lr: 1.000e-04, eta: 2 days, 19:34:05, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1857, s0.loss_cls: 0.1442, s0.acc: 94.7749, s0.loss_bbox: 0.0805, s0.loss_mask: 0.2019, s1.loss_cls: 0.0683, s1.acc: 95.0533, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0945, s2.loss_cls: 0.0346, s2.acc: 94.9039, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0439, loss: 1.0479 2022-09-13 13:47:09,321 - mmdet - INFO - Epoch [12][5200/7330] lr: 1.000e-04, eta: 2 days, 19:32:56, time: 1.353, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1889, s0.loss_cls: 0.1439, s0.acc: 94.8203, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1915, s1.loss_cls: 0.0695, s1.acc: 95.0256, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0908, s2.loss_cls: 0.0355, s2.acc: 94.7734, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0431, loss: 1.0347 2022-09-13 13:48:16,604 - mmdet - INFO - Epoch [12][5250/7330] lr: 1.000e-04, eta: 2 days, 19:31:45, time: 1.346, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1800, s0.loss_cls: 0.1342, s0.acc: 95.1458, s0.loss_bbox: 0.0764, s0.loss_mask: 0.1931, s1.loss_cls: 0.0642, s1.acc: 95.3793, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0912, s2.loss_cls: 0.0336, s2.acc: 95.0564, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0428, loss: 1.0017 2022-09-13 13:49:24,513 - mmdet - INFO - Epoch [12][5300/7330] lr: 1.000e-04, eta: 2 days, 19:30:36, time: 1.358, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1843, s0.loss_cls: 0.1392, s0.acc: 95.0422, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1918, s1.loss_cls: 0.0657, s1.acc: 95.3185, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0911, s2.loss_cls: 0.0341, s2.acc: 94.9744, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0433, loss: 1.0089 2022-09-13 13:50:31,413 - mmdet - INFO - Epoch [12][5350/7330] lr: 1.000e-04, eta: 2 days, 19:29:25, time: 1.336, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1875, s0.loss_cls: 0.1378, s0.acc: 95.0100, s0.loss_bbox: 0.0804, s0.loss_mask: 0.1956, s1.loss_cls: 0.0654, s1.acc: 95.2323, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0921, s2.loss_cls: 0.0335, s2.acc: 95.0718, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0430, loss: 1.0303 2022-09-13 13:51:39,372 - mmdet - INFO - Epoch [12][5400/7330] lr: 1.000e-04, eta: 2 days, 19:28:16, time: 1.361, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1805, s0.loss_cls: 0.1419, s0.acc: 94.9082, s0.loss_bbox: 0.0760, s0.loss_mask: 0.1947, s1.loss_cls: 0.0688, s1.acc: 95.1324, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0922, s2.loss_cls: 0.0356, s2.acc: 94.8710, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0433, loss: 1.0238 2022-09-13 13:52:48,089 - mmdet - INFO - Epoch [12][5450/7330] lr: 1.000e-04, eta: 2 days, 19:27:08, time: 1.373, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1750, s0.loss_cls: 0.1522, s0.acc: 94.4441, s0.loss_bbox: 0.0849, s0.loss_mask: 0.1992, s1.loss_cls: 0.0718, s1.acc: 94.7027, s1.loss_bbox: 0.0937, s1.loss_mask: 0.0937, s2.loss_cls: 0.0367, s2.acc: 94.5063, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0442, loss: 1.0652 2022-09-13 13:53:56,117 - mmdet - INFO - Epoch [12][5500/7330] lr: 1.000e-04, eta: 2 days, 19:26:00, time: 1.362, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1862, s0.loss_cls: 0.1463, s0.acc: 94.7100, s0.loss_bbox: 0.0824, s0.loss_mask: 0.1956, s1.loss_cls: 0.0705, s1.acc: 94.8829, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0918, s2.loss_cls: 0.0360, s2.acc: 94.5972, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0432, loss: 1.0447 2022-09-13 13:55:03,614 - mmdet - INFO - Epoch [12][5550/7330] lr: 1.000e-04, eta: 2 days, 19:24:50, time: 1.349, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1880, s0.loss_cls: 0.1453, s0.acc: 94.7815, s0.loss_bbox: 0.0814, s0.loss_mask: 0.2004, s1.loss_cls: 0.0695, s1.acc: 94.9810, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0936, s2.loss_cls: 0.0351, s2.acc: 94.8336, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0438, loss: 1.0489 2022-09-13 13:56:11,636 - mmdet - INFO - Epoch [12][5600/7330] lr: 1.000e-04, eta: 2 days, 19:23:41, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1838, s0.loss_cls: 0.1414, s0.acc: 94.8916, s0.loss_bbox: 0.0821, s0.loss_mask: 0.2020, s1.loss_cls: 0.0680, s1.acc: 95.0168, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0948, s2.loss_cls: 0.0345, s2.acc: 94.7688, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0449, loss: 1.0464 2022-09-13 13:57:19,362 - mmdet - INFO - Epoch [12][5650/7330] lr: 1.000e-04, eta: 2 days, 19:22:32, time: 1.354, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1886, s0.loss_cls: 0.1524, s0.acc: 94.4258, s0.loss_bbox: 0.0869, s0.loss_mask: 0.2025, s1.loss_cls: 0.0729, s1.acc: 94.6512, s1.loss_bbox: 0.0960, s1.loss_mask: 0.0964, s2.loss_cls: 0.0372, s2.acc: 94.4056, s2.loss_bbox: 0.0609, s2.loss_mask: 0.0458, loss: 1.0900 2022-09-13 13:58:27,855 - mmdet - INFO - Epoch [12][5700/7330] lr: 1.000e-04, eta: 2 days, 19:21:24, time: 1.370, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1863, s0.loss_cls: 0.1400, s0.acc: 94.9622, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1919, s1.loss_cls: 0.0669, s1.acc: 95.1294, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0904, s2.loss_cls: 0.0336, s2.acc: 95.0280, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0424, loss: 1.0189 2022-09-13 13:59:36,190 - mmdet - INFO - Epoch [12][5750/7330] lr: 1.000e-04, eta: 2 days, 19:20:15, time: 1.366, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1875, s0.loss_cls: 0.1501, s0.acc: 94.7229, s0.loss_bbox: 0.0804, s0.loss_mask: 0.1950, s1.loss_cls: 0.0727, s1.acc: 94.8788, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0913, s2.loss_cls: 0.0367, s2.acc: 94.7073, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0432, loss: 1.0537 2022-09-13 14:00:44,909 - mmdet - INFO - Epoch [12][5800/7330] lr: 1.000e-04, eta: 2 days, 19:19:08, time: 1.375, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1821, s0.loss_cls: 0.1446, s0.acc: 94.7546, s0.loss_bbox: 0.0806, s0.loss_mask: 0.2001, s1.loss_cls: 0.0689, s1.acc: 94.9907, s1.loss_bbox: 0.0916, s1.loss_mask: 0.0939, s2.loss_cls: 0.0356, s2.acc: 94.7300, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0437, loss: 1.0472 2022-09-13 14:01:54,061 - mmdet - INFO - Epoch [12][5850/7330] lr: 1.000e-04, eta: 2 days, 19:18:02, time: 1.383, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1890, s0.loss_cls: 0.1449, s0.acc: 94.7607, s0.loss_bbox: 0.0802, s0.loss_mask: 0.1971, s1.loss_cls: 0.0683, s1.acc: 95.0382, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0930, s2.loss_cls: 0.0347, s2.acc: 94.8151, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0440, loss: 1.0470 2022-09-13 14:03:02,702 - mmdet - INFO - Epoch [12][5900/7330] lr: 1.000e-04, eta: 2 days, 19:16:54, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1876, s0.loss_cls: 0.1451, s0.acc: 94.8284, s0.loss_bbox: 0.0810, s0.loss_mask: 0.1994, s1.loss_cls: 0.0701, s1.acc: 95.0452, s1.loss_bbox: 0.0911, s1.loss_mask: 0.0940, s2.loss_cls: 0.0359, s2.acc: 94.7772, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0440, loss: 1.0564 2022-09-13 14:04:10,915 - mmdet - INFO - Epoch [12][5950/7330] lr: 1.000e-04, eta: 2 days, 19:15:46, time: 1.364, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1856, s0.loss_cls: 0.1487, s0.acc: 94.6467, s0.loss_bbox: 0.0815, s0.loss_mask: 0.2001, s1.loss_cls: 0.0719, s1.acc: 94.8276, s1.loss_bbox: 0.0920, s1.loss_mask: 0.0936, s2.loss_cls: 0.0369, s2.acc: 94.5372, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0438, loss: 1.0648 2022-09-13 14:05:19,053 - mmdet - INFO - Epoch [12][6000/7330] lr: 1.000e-04, eta: 2 days, 19:14:37, time: 1.363, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1853, s0.loss_cls: 0.1381, s0.acc: 95.0950, s0.loss_bbox: 0.0805, s0.loss_mask: 0.2013, s1.loss_cls: 0.0658, s1.acc: 95.3372, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0942, s2.loss_cls: 0.0338, s2.acc: 95.0805, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0445, loss: 1.0326 2022-09-13 14:06:26,494 - mmdet - INFO - Epoch [12][6050/7330] lr: 1.000e-04, eta: 2 days, 19:13:27, time: 1.349, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1781, s0.loss_cls: 0.1335, s0.acc: 95.0813, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1924, s1.loss_cls: 0.0628, s1.acc: 95.4479, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0913, s2.loss_cls: 0.0321, s2.acc: 95.1327, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0427, loss: 1.0014 2022-09-13 14:07:33,965 - mmdet - INFO - Epoch [12][6100/7330] lr: 1.000e-04, eta: 2 days, 19:12:17, time: 1.348, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1808, s0.loss_cls: 0.1367, s0.acc: 95.0681, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1980, s1.loss_cls: 0.0657, s1.acc: 95.2312, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0929, s2.loss_cls: 0.0335, s2.acc: 95.0110, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0435, loss: 1.0156 2022-09-13 14:08:43,549 - mmdet - INFO - Epoch [12][6150/7330] lr: 1.000e-04, eta: 2 days, 19:11:11, time: 1.393, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1752, s0.loss_cls: 0.1457, s0.acc: 94.8494, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1961, s1.loss_cls: 0.0692, s1.acc: 95.0990, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0925, s2.loss_cls: 0.0357, s2.acc: 94.8523, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0437, loss: 1.0397 2022-09-13 14:09:51,462 - mmdet - INFO - Epoch [12][6200/7330] lr: 1.000e-04, eta: 2 days, 19:10:02, time: 1.358, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1721, s0.loss_cls: 0.1361, s0.acc: 95.1074, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1908, s1.loss_cls: 0.0646, s1.acc: 95.4231, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0899, s2.loss_cls: 0.0330, s2.acc: 95.1924, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0425, loss: 0.9949 2022-09-13 14:10:59,164 - mmdet - INFO - Epoch [12][6250/7330] lr: 1.000e-04, eta: 2 days, 19:08:53, time: 1.354, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1832, s0.loss_cls: 0.1355, s0.acc: 95.1516, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1983, s1.loss_cls: 0.0651, s1.acc: 95.4024, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0935, s2.loss_cls: 0.0334, s2.acc: 95.1577, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0443, loss: 1.0156 2022-09-13 14:12:06,599 - mmdet - INFO - Epoch [12][6300/7330] lr: 1.000e-04, eta: 2 days, 19:07:43, time: 1.349, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1841, s0.loss_cls: 0.1450, s0.acc: 94.7380, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1959, s1.loss_cls: 0.0706, s1.acc: 94.9035, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0925, s2.loss_cls: 0.0365, s2.acc: 94.6080, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0436, loss: 1.0434 2022-09-13 14:13:15,088 - mmdet - INFO - Epoch [12][6350/7330] lr: 1.000e-04, eta: 2 days, 19:06:35, time: 1.370, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1844, s0.loss_cls: 0.1454, s0.acc: 94.8311, s0.loss_bbox: 0.0795, s0.loss_mask: 0.2013, s1.loss_cls: 0.0706, s1.acc: 94.9908, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0953, s2.loss_cls: 0.0355, s2.acc: 94.8565, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0448, loss: 1.0511 2022-09-13 14:14:23,589 - mmdet - INFO - Epoch [12][6400/7330] lr: 1.000e-04, eta: 2 days, 19:05:27, time: 1.369, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1887, s0.loss_cls: 0.1407, s0.acc: 94.9810, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1978, s1.loss_cls: 0.0666, s1.acc: 95.2424, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0926, s2.loss_cls: 0.0340, s2.acc: 95.0734, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0438, loss: 1.0375 2022-09-13 14:15:31,233 - mmdet - INFO - Epoch [12][6450/7330] lr: 1.000e-04, eta: 2 days, 19:04:18, time: 1.354, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1859, s0.loss_cls: 0.1369, s0.acc: 95.0029, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1890, s1.loss_cls: 0.0650, s1.acc: 95.2862, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0883, s2.loss_cls: 0.0331, s2.acc: 95.1482, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0416, loss: 1.0016 2022-09-13 14:16:38,894 - mmdet - INFO - Epoch [12][6500/7330] lr: 1.000e-04, eta: 2 days, 19:03:08, time: 1.353, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1927, s0.loss_cls: 0.1475, s0.acc: 94.7212, s0.loss_bbox: 0.0793, s0.loss_mask: 0.1960, s1.loss_cls: 0.0715, s1.acc: 94.8499, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0929, s2.loss_cls: 0.0368, s2.acc: 94.5854, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0437, loss: 1.0601 2022-09-13 14:17:46,744 - mmdet - INFO - Epoch [12][6550/7330] lr: 1.000e-04, eta: 2 days, 19:01:59, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0301, loss_semantic_seg: 0.1840, s0.loss_cls: 0.1453, s0.acc: 94.7119, s0.loss_bbox: 0.0803, s0.loss_mask: 0.2037, s1.loss_cls: 0.0714, s1.acc: 94.9502, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0956, s2.loss_cls: 0.0361, s2.acc: 94.7334, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0455, loss: 1.0603 2022-09-13 14:18:54,634 - mmdet - INFO - Epoch [12][6600/7330] lr: 1.000e-04, eta: 2 days, 19:00:50, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1833, s0.loss_cls: 0.1460, s0.acc: 94.8237, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1963, s1.loss_cls: 0.0703, s1.acc: 94.9936, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0925, s2.loss_cls: 0.0358, s2.acc: 94.7995, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0436, loss: 1.0400 2022-09-13 14:20:03,861 - mmdet - INFO - Epoch [12][6650/7330] lr: 1.000e-04, eta: 2 days, 18:59:43, time: 1.384, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1814, s0.loss_cls: 0.1462, s0.acc: 94.6851, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1936, s1.loss_cls: 0.0706, s1.acc: 94.8657, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0915, s2.loss_cls: 0.0356, s2.acc: 94.7378, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0433, loss: 1.0352 2022-09-13 14:21:11,228 - mmdet - INFO - Epoch [12][6700/7330] lr: 1.000e-04, eta: 2 days, 18:58:33, time: 1.348, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1852, s0.loss_cls: 0.1388, s0.acc: 95.0347, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1857, s1.loss_cls: 0.0668, s1.acc: 95.2478, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0875, s2.loss_cls: 0.0338, s2.acc: 95.0991, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0412, loss: 1.0053 2022-09-13 14:22:19,791 - mmdet - INFO - Epoch [12][6750/7330] lr: 1.000e-04, eta: 2 days, 18:57:25, time: 1.371, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1509, s0.acc: 94.6389, s0.loss_bbox: 0.0812, s0.loss_mask: 0.1985, s1.loss_cls: 0.0731, s1.acc: 94.8157, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0935, s2.loss_cls: 0.0375, s2.acc: 94.5512, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0441, loss: 1.0690 2022-09-13 14:23:28,692 - mmdet - INFO - Epoch [12][6800/7330] lr: 1.000e-04, eta: 2 days, 18:56:18, time: 1.378, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1867, s0.loss_cls: 0.1449, s0.acc: 94.7947, s0.loss_bbox: 0.0816, s0.loss_mask: 0.2008, s1.loss_cls: 0.0693, s1.acc: 94.9960, s1.loss_bbox: 0.0911, s1.loss_mask: 0.0941, s2.loss_cls: 0.0360, s2.acc: 94.7140, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0439, loss: 1.0542 2022-09-13 14:24:35,894 - mmdet - INFO - Epoch [12][6850/7330] lr: 1.000e-04, eta: 2 days, 18:55:08, time: 1.344, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1877, s0.loss_cls: 0.1432, s0.acc: 94.9146, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1930, s1.loss_cls: 0.0680, s1.acc: 95.1198, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0901, s2.loss_cls: 0.0342, s2.acc: 95.0507, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0420, loss: 1.0271 2022-09-13 14:25:42,909 - mmdet - INFO - Epoch [12][6900/7330] lr: 1.000e-04, eta: 2 days, 18:53:57, time: 1.340, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1898, s0.loss_cls: 0.1513, s0.acc: 94.5842, s0.loss_bbox: 0.0850, s0.loss_mask: 0.1993, s1.loss_cls: 0.0722, s1.acc: 94.7834, s1.loss_bbox: 0.0943, s1.loss_mask: 0.0937, s2.loss_cls: 0.0365, s2.acc: 94.5632, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0441, loss: 1.0761 2022-09-13 14:26:51,299 - mmdet - INFO - Epoch [12][6950/7330] lr: 1.000e-04, eta: 2 days, 18:52:49, time: 1.368, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1865, s0.loss_cls: 0.1415, s0.acc: 94.9802, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1910, s1.loss_cls: 0.0677, s1.acc: 95.2030, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0905, s2.loss_cls: 0.0347, s2.acc: 95.0357, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0428, loss: 1.0193 2022-09-13 14:28:00,040 - mmdet - INFO - Epoch [12][7000/7330] lr: 1.000e-04, eta: 2 days, 18:51:42, time: 1.375, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1869, s0.loss_cls: 0.1371, s0.acc: 95.0293, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1991, s1.loss_cls: 0.0655, s1.acc: 95.2949, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0929, s2.loss_cls: 0.0338, s2.acc: 94.9711, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0436, loss: 1.0261 2022-09-13 14:29:10,001 - mmdet - INFO - Epoch [12][7050/7330] lr: 1.000e-04, eta: 2 days, 18:50:37, time: 1.399, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1866, s0.loss_cls: 0.1420, s0.acc: 94.8792, s0.loss_bbox: 0.0818, s0.loss_mask: 0.2009, s1.loss_cls: 0.0673, s1.acc: 95.0929, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0941, s2.loss_cls: 0.0340, s2.acc: 94.9472, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0448, loss: 1.0477 2022-09-13 14:30:18,671 - mmdet - INFO - Epoch [12][7100/7330] lr: 1.000e-04, eta: 2 days, 18:49:29, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1888, s0.loss_cls: 0.1365, s0.acc: 95.0330, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1944, s1.loss_cls: 0.0654, s1.acc: 95.3242, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0918, s2.loss_cls: 0.0337, s2.acc: 95.0480, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0431, loss: 1.0283 2022-09-13 14:31:28,308 - mmdet - INFO - Epoch [12][7150/7330] lr: 1.000e-04, eta: 2 days, 18:48:24, time: 1.393, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1880, s0.loss_cls: 0.1489, s0.acc: 94.6260, s0.loss_bbox: 0.0850, s0.loss_mask: 0.1987, s1.loss_cls: 0.0715, s1.acc: 94.8075, s1.loss_bbox: 0.0929, s1.loss_mask: 0.0936, s2.loss_cls: 0.0369, s2.acc: 94.5654, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0442, loss: 1.0717 2022-09-13 14:32:38,987 - mmdet - INFO - Epoch [12][7200/7330] lr: 1.000e-04, eta: 2 days, 18:47:20, time: 1.414, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1846, s0.loss_cls: 0.1433, s0.acc: 94.8638, s0.loss_bbox: 0.0791, s0.loss_mask: 0.2007, s1.loss_cls: 0.0691, s1.acc: 95.0218, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0946, s2.loss_cls: 0.0348, s2.acc: 94.8936, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0446, loss: 1.0454 2022-09-13 14:33:46,910 - mmdet - INFO - Epoch [12][7250/7330] lr: 1.000e-04, eta: 2 days, 18:46:11, time: 1.358, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1849, s0.loss_cls: 0.1496, s0.acc: 94.6675, s0.loss_bbox: 0.0806, s0.loss_mask: 0.1956, s1.loss_cls: 0.0713, s1.acc: 94.9201, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0924, s2.loss_cls: 0.0360, s2.acc: 94.7707, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0433, loss: 1.0501 2022-09-13 14:34:55,503 - mmdet - INFO - Epoch [12][7300/7330] lr: 1.000e-04, eta: 2 days, 18:45:03, time: 1.372, data_time: 0.053, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1901, s0.loss_cls: 0.1448, s0.acc: 94.6592, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1977, s1.loss_cls: 0.0702, s1.acc: 94.8174, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0929, s2.loss_cls: 0.0359, s2.acc: 94.5722, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0441, loss: 1.0524 2022-09-13 14:35:46,183 - mmdet - INFO - Saving checkpoint at 12 epochs 2022-09-13 14:39:10,601 - mmdet - INFO - Evaluating bbox... 2022-09-13 14:40:13,854 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.559 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.743 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.618 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.406 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.603 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.682 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.729 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.729 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.729 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.572 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.770 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.858 2022-09-13 14:40:13,854 - mmdet - INFO - Evaluating segm... 2022-09-13 14:41:24,428 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.486 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.722 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.535 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.297 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.521 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.662 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.634 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.634 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.634 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.473 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.673 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.774 2022-09-13 14:41:25,761 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 14:41:25,763 - mmdet - INFO - Epoch(val) [12][313] bbox_mAP: 0.5590, bbox_mAP_50: 0.7430, bbox_mAP_75: 0.6180, bbox_mAP_s: 0.4060, bbox_mAP_m: 0.6030, bbox_mAP_l: 0.6820, bbox_mAP_copypaste: 0.559 0.743 0.618 0.406 0.603 0.682, segm_mAP: 0.4860, segm_mAP_50: 0.7220, segm_mAP_75: 0.5350, segm_mAP_s: 0.2970, segm_mAP_m: 0.5210, segm_mAP_l: 0.6620, segm_mAP_copypaste: 0.486 0.722 0.535 0.297 0.521 0.662 2022-09-13 14:44:45,352 - mmdet - INFO - Epoch [13][50/7330] lr: 1.000e-04, eta: 2 days, 18:46:15, time: 3.990, data_time: 2.596, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1885, s0.loss_cls: 0.1417, s0.acc: 94.8696, s0.loss_bbox: 0.0809, s0.loss_mask: 0.1915, s1.loss_cls: 0.0681, s1.acc: 95.0921, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0906, s2.loss_cls: 0.0349, s2.acc: 94.9230, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0426, loss: 1.0302 2022-09-13 14:45:55,410 - mmdet - INFO - Epoch [13][100/7330] lr: 1.000e-04, eta: 2 days, 18:45:10, time: 1.401, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1894, s0.loss_cls: 0.1427, s0.acc: 94.8467, s0.loss_bbox: 0.0810, s0.loss_mask: 0.1959, s1.loss_cls: 0.0692, s1.acc: 95.0241, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0930, s2.loss_cls: 0.0353, s2.acc: 94.6969, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0439, loss: 1.0484 2022-09-13 14:47:04,315 - mmdet - INFO - Epoch [13][150/7330] lr: 1.000e-04, eta: 2 days, 18:44:02, time: 1.378, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1842, s0.loss_cls: 0.1432, s0.acc: 94.8547, s0.loss_bbox: 0.0786, s0.loss_mask: 0.1926, s1.loss_cls: 0.0678, s1.acc: 95.0822, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0908, s2.loss_cls: 0.0344, s2.acc: 94.8583, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0428, loss: 1.0269 2022-09-13 14:48:12,419 - mmdet - INFO - Epoch [13][200/7330] lr: 1.000e-04, eta: 2 days, 18:42:54, time: 1.362, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1411, s0.acc: 94.8801, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1866, s1.loss_cls: 0.0679, s1.acc: 95.0082, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0881, s2.loss_cls: 0.0347, s2.acc: 94.8424, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0417, loss: 1.0047 2022-09-13 14:49:20,710 - mmdet - INFO - Epoch [13][250/7330] lr: 1.000e-04, eta: 2 days, 18:41:45, time: 1.366, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1829, s0.loss_cls: 0.1404, s0.acc: 94.9856, s0.loss_bbox: 0.0789, s0.loss_mask: 0.1975, s1.loss_cls: 0.0662, s1.acc: 95.2741, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0933, s2.loss_cls: 0.0333, s2.acc: 95.1096, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0441, loss: 1.0323 2022-09-13 14:50:29,519 - mmdet - INFO - Epoch [13][300/7330] lr: 1.000e-04, eta: 2 days, 18:40:38, time: 1.376, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1374, s0.acc: 94.9302, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1999, s1.loss_cls: 0.0667, s1.acc: 95.1095, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0945, s2.loss_cls: 0.0341, s2.acc: 94.8977, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0447, loss: 1.0228 2022-09-13 14:51:36,707 - mmdet - INFO - Epoch [13][350/7330] lr: 1.000e-04, eta: 2 days, 18:39:27, time: 1.344, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1417, s0.acc: 94.8093, s0.loss_bbox: 0.0804, s0.loss_mask: 0.2000, s1.loss_cls: 0.0676, s1.acc: 95.0971, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0942, s2.loss_cls: 0.0344, s2.acc: 94.8590, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0444, loss: 1.0388 2022-09-13 14:52:44,632 - mmdet - INFO - Epoch [13][400/7330] lr: 1.000e-04, eta: 2 days, 18:38:18, time: 1.359, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1767, s0.loss_cls: 0.1360, s0.acc: 95.0854, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1944, s1.loss_cls: 0.0648, s1.acc: 95.3221, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0912, s2.loss_cls: 0.0326, s2.acc: 95.1631, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0427, loss: 1.0002 2022-09-13 14:53:52,595 - mmdet - INFO - Epoch [13][450/7330] lr: 1.000e-04, eta: 2 days, 18:37:09, time: 1.359, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1896, s0.loss_cls: 0.1387, s0.acc: 95.1028, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1896, s1.loss_cls: 0.0658, s1.acc: 95.3541, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0894, s2.loss_cls: 0.0332, s2.acc: 95.1617, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0422, loss: 1.0081 2022-09-13 14:55:01,726 - mmdet - INFO - Epoch [13][500/7330] lr: 1.000e-04, eta: 2 days, 18:36:02, time: 1.383, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1421, s0.acc: 94.8452, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1921, s1.loss_cls: 0.0686, s1.acc: 94.9916, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0898, s2.loss_cls: 0.0348, s2.acc: 94.8719, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0421, loss: 1.0205 2022-09-13 14:56:09,535 - mmdet - INFO - Epoch [13][550/7330] lr: 1.000e-04, eta: 2 days, 18:34:53, time: 1.356, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0312, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1456, s0.acc: 94.7109, s0.loss_bbox: 0.0813, s0.loss_mask: 0.2008, s1.loss_cls: 0.0704, s1.acc: 94.9182, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0938, s2.loss_cls: 0.0357, s2.acc: 94.7559, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0443, loss: 1.0551 2022-09-13 14:57:17,755 - mmdet - INFO - Epoch [13][600/7330] lr: 1.000e-04, eta: 2 days, 18:33:44, time: 1.364, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1789, s0.loss_cls: 0.1403, s0.acc: 94.9551, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1914, s1.loss_cls: 0.0674, s1.acc: 95.1461, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0902, s2.loss_cls: 0.0346, s2.acc: 94.9990, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0430, loss: 1.0037 2022-09-13 14:58:26,661 - mmdet - INFO - Epoch [13][650/7330] lr: 1.000e-04, eta: 2 days, 18:32:37, time: 1.379, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1809, s0.loss_cls: 0.1398, s0.acc: 94.8965, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1955, s1.loss_cls: 0.0675, s1.acc: 95.0545, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0922, s2.loss_cls: 0.0346, s2.acc: 94.9204, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0435, loss: 1.0254 2022-09-13 14:59:34,714 - mmdet - INFO - Epoch [13][700/7330] lr: 1.000e-04, eta: 2 days, 18:31:28, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1380, s0.acc: 95.0830, s0.loss_bbox: 0.0776, s0.loss_mask: 0.1915, s1.loss_cls: 0.0654, s1.acc: 95.3304, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0902, s2.loss_cls: 0.0333, s2.acc: 95.0722, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0426, loss: 1.0022 2022-09-13 15:00:42,222 - mmdet - INFO - Epoch [13][750/7330] lr: 1.000e-04, eta: 2 days, 18:30:18, time: 1.352, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1867, s0.loss_cls: 0.1367, s0.acc: 95.0842, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1935, s1.loss_cls: 0.0658, s1.acc: 95.2751, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0926, s2.loss_cls: 0.0339, s2.acc: 95.0745, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0435, loss: 1.0122 2022-09-13 15:01:49,380 - mmdet - INFO - Epoch [13][800/7330] lr: 1.000e-04, eta: 2 days, 18:29:07, time: 1.343, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1817, s0.loss_cls: 0.1427, s0.acc: 94.8516, s0.loss_bbox: 0.0796, s0.loss_mask: 0.1938, s1.loss_cls: 0.0682, s1.acc: 95.1504, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0908, s2.loss_cls: 0.0347, s2.acc: 94.8495, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0431, loss: 1.0328 2022-09-13 15:02:56,714 - mmdet - INFO - Epoch [13][850/7330] lr: 1.000e-04, eta: 2 days, 18:27:57, time: 1.347, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1890, s0.loss_cls: 0.1378, s0.acc: 94.9646, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1958, s1.loss_cls: 0.0660, s1.acc: 95.2431, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0918, s2.loss_cls: 0.0338, s2.acc: 95.0522, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0437, loss: 1.0209 2022-09-13 15:04:04,858 - mmdet - INFO - Epoch [13][900/7330] lr: 1.000e-04, eta: 2 days, 18:26:48, time: 1.363, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1823, s0.loss_cls: 0.1396, s0.acc: 94.9407, s0.loss_bbox: 0.0793, s0.loss_mask: 0.1970, s1.loss_cls: 0.0659, s1.acc: 95.2476, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0930, s2.loss_cls: 0.0340, s2.acc: 94.9267, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0437, loss: 1.0340 2022-09-13 15:05:13,133 - mmdet - INFO - Epoch [13][950/7330] lr: 1.000e-04, eta: 2 days, 18:25:40, time: 1.366, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1814, s0.loss_cls: 0.1295, s0.acc: 95.2981, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1929, s1.loss_cls: 0.0620, s1.acc: 95.5139, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0905, s2.loss_cls: 0.0320, s2.acc: 95.2729, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0423, loss: 0.9917 2022-09-13 15:06:20,981 - mmdet - INFO - Epoch [13][1000/7330] lr: 1.000e-04, eta: 2 days, 18:24:31, time: 1.357, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1839, s0.loss_cls: 0.1369, s0.acc: 95.0969, s0.loss_bbox: 0.0779, s0.loss_mask: 0.1957, s1.loss_cls: 0.0654, s1.acc: 95.3381, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0933, s2.loss_cls: 0.0333, s2.acc: 95.0918, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0444, loss: 1.0223 2022-09-13 15:07:29,701 - mmdet - INFO - Epoch [13][1050/7330] lr: 1.000e-04, eta: 2 days, 18:23:23, time: 1.374, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1886, s0.loss_cls: 0.1442, s0.acc: 94.8066, s0.loss_bbox: 0.0821, s0.loss_mask: 0.1985, s1.loss_cls: 0.0689, s1.acc: 94.9398, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0935, s2.loss_cls: 0.0352, s2.acc: 94.8233, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0444, loss: 1.0570 2022-09-13 15:08:37,368 - mmdet - INFO - Epoch [13][1100/7330] lr: 1.000e-04, eta: 2 days, 18:22:13, time: 1.353, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1776, s0.loss_cls: 0.1404, s0.acc: 94.9678, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1893, s1.loss_cls: 0.0665, s1.acc: 95.2036, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0890, s2.loss_cls: 0.0341, s2.acc: 94.9587, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0421, loss: 1.0129 2022-09-13 15:09:44,977 - mmdet - INFO - Epoch [13][1150/7330] lr: 1.000e-04, eta: 2 days, 18:21:04, time: 1.352, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1850, s0.loss_cls: 0.1379, s0.acc: 95.0847, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1917, s1.loss_cls: 0.0655, s1.acc: 95.3122, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0901, s2.loss_cls: 0.0338, s2.acc: 95.0896, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0424, loss: 1.0073 2022-09-13 15:10:51,960 - mmdet - INFO - Epoch [13][1200/7330] lr: 1.000e-04, eta: 2 days, 18:19:53, time: 1.339, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1851, s0.loss_cls: 0.1392, s0.acc: 94.9465, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1995, s1.loss_cls: 0.0662, s1.acc: 95.1578, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0937, s2.loss_cls: 0.0334, s2.acc: 94.9898, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0437, loss: 1.0352 2022-09-13 15:11:58,915 - mmdet - INFO - Epoch [13][1250/7330] lr: 1.000e-04, eta: 2 days, 18:18:42, time: 1.339, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1850, s0.loss_cls: 0.1347, s0.acc: 95.1897, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1922, s1.loss_cls: 0.0636, s1.acc: 95.4177, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0907, s2.loss_cls: 0.0327, s2.acc: 95.2675, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0429, loss: 1.0042 2022-09-13 15:13:05,841 - mmdet - INFO - Epoch [13][1300/7330] lr: 1.000e-04, eta: 2 days, 18:17:30, time: 1.338, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1892, s0.loss_cls: 0.1418, s0.acc: 94.9104, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1997, s1.loss_cls: 0.0684, s1.acc: 95.0530, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0934, s2.loss_cls: 0.0344, s2.acc: 94.8841, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0441, loss: 1.0410 2022-09-13 15:14:13,670 - mmdet - INFO - Epoch [13][1350/7330] lr: 1.000e-04, eta: 2 days, 18:16:21, time: 1.357, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1803, s0.loss_cls: 0.1459, s0.acc: 94.6472, s0.loss_bbox: 0.0801, s0.loss_mask: 0.2001, s1.loss_cls: 0.0701, s1.acc: 94.8486, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0949, s2.loss_cls: 0.0356, s2.acc: 94.7073, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0446, loss: 1.0498 2022-09-13 15:15:21,651 - mmdet - INFO - Epoch [13][1400/7330] lr: 1.000e-04, eta: 2 days, 18:15:12, time: 1.360, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1763, s0.loss_cls: 0.1329, s0.acc: 95.0947, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1909, s1.loss_cls: 0.0630, s1.acc: 95.3144, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0900, s2.loss_cls: 0.0329, s2.acc: 95.0883, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0424, loss: 0.9936 2022-09-13 15:16:29,802 - mmdet - INFO - Epoch [13][1450/7330] lr: 1.000e-04, eta: 2 days, 18:14:03, time: 1.363, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1813, s0.loss_cls: 0.1329, s0.acc: 95.1436, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1899, s1.loss_cls: 0.0634, s1.acc: 95.3781, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0895, s2.loss_cls: 0.0323, s2.acc: 95.2952, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0424, loss: 0.9905 2022-09-13 15:17:37,530 - mmdet - INFO - Epoch [13][1500/7330] lr: 1.000e-04, eta: 2 days, 18:12:54, time: 1.354, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1772, s0.loss_cls: 0.1457, s0.acc: 94.7883, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1963, s1.loss_cls: 0.0692, s1.acc: 95.0471, s1.loss_bbox: 0.0915, s1.loss_mask: 0.0925, s2.loss_cls: 0.0351, s2.acc: 94.8945, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0436, loss: 1.0412 2022-09-13 15:18:46,256 - mmdet - INFO - Epoch [13][1550/7330] lr: 1.000e-04, eta: 2 days, 18:11:46, time: 1.374, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1401, s0.acc: 94.9885, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1971, s1.loss_cls: 0.0667, s1.acc: 95.2649, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0927, s2.loss_cls: 0.0340, s2.acc: 95.0383, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0437, loss: 1.0221 2022-09-13 15:19:53,978 - mmdet - INFO - Epoch [13][1600/7330] lr: 1.000e-04, eta: 2 days, 18:10:37, time: 1.354, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1832, s0.loss_cls: 0.1366, s0.acc: 95.0334, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1943, s1.loss_cls: 0.0662, s1.acc: 95.1859, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0915, s2.loss_cls: 0.0338, s2.acc: 94.9502, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0433, loss: 1.0225 2022-09-13 15:21:03,278 - mmdet - INFO - Epoch [13][1650/7330] lr: 1.000e-04, eta: 2 days, 18:09:30, time: 1.386, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1797, s0.loss_cls: 0.1428, s0.acc: 94.8650, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1973, s1.loss_cls: 0.0673, s1.acc: 95.1565, s1.loss_bbox: 0.0915, s1.loss_mask: 0.0926, s2.loss_cls: 0.0350, s2.acc: 94.8598, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0433, loss: 1.0391 2022-09-13 15:22:10,832 - mmdet - INFO - Epoch [13][1700/7330] lr: 1.000e-04, eta: 2 days, 18:08:20, time: 1.351, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1827, s0.loss_cls: 0.1381, s0.acc: 95.0117, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1926, s1.loss_cls: 0.0670, s1.acc: 95.1325, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0912, s2.loss_cls: 0.0342, s2.acc: 94.9800, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0430, loss: 1.0133 2022-09-13 15:23:19,144 - mmdet - INFO - Epoch [13][1750/7330] lr: 1.000e-04, eta: 2 days, 18:07:12, time: 1.367, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0298, loss_semantic_seg: 0.1876, s0.loss_cls: 0.1490, s0.acc: 94.6335, s0.loss_bbox: 0.0803, s0.loss_mask: 0.1992, s1.loss_cls: 0.0716, s1.acc: 94.8196, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0935, s2.loss_cls: 0.0369, s2.acc: 94.5718, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0444, loss: 1.0636 2022-09-13 15:24:27,917 - mmdet - INFO - Epoch [13][1800/7330] lr: 1.000e-04, eta: 2 days, 18:06:04, time: 1.374, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1421, s0.acc: 94.8159, s0.loss_bbox: 0.0807, s0.loss_mask: 0.1998, s1.loss_cls: 0.0678, s1.acc: 95.0306, s1.loss_bbox: 0.0911, s1.loss_mask: 0.0928, s2.loss_cls: 0.0349, s2.acc: 94.8677, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0439, loss: 1.0445 2022-09-13 15:25:35,355 - mmdet - INFO - Epoch [13][1850/7330] lr: 1.000e-04, eta: 2 days, 18:04:55, time: 1.350, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1454, s0.acc: 94.8103, s0.loss_bbox: 0.0814, s0.loss_mask: 0.2002, s1.loss_cls: 0.0695, s1.acc: 95.0676, s1.loss_bbox: 0.0895, s1.loss_mask: 0.0945, s2.loss_cls: 0.0355, s2.acc: 94.8169, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0442, loss: 1.0556 2022-09-13 15:26:42,883 - mmdet - INFO - Epoch [13][1900/7330] lr: 1.000e-04, eta: 2 days, 18:03:45, time: 1.351, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1862, s0.loss_cls: 0.1346, s0.acc: 95.2283, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1947, s1.loss_cls: 0.0648, s1.acc: 95.4367, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0926, s2.loss_cls: 0.0332, s2.acc: 95.2036, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0436, loss: 1.0047 2022-09-13 15:27:50,906 - mmdet - INFO - Epoch [13][1950/7330] lr: 1.000e-04, eta: 2 days, 18:02:36, time: 1.361, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1337, s0.acc: 95.1445, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1915, s1.loss_cls: 0.0637, s1.acc: 95.3981, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0897, s2.loss_cls: 0.0327, s2.acc: 95.1676, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0421, loss: 0.9971 2022-09-13 15:28:58,767 - mmdet - INFO - Epoch [13][2000/7330] lr: 1.000e-04, eta: 2 days, 18:01:26, time: 1.356, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1882, s0.loss_cls: 0.1382, s0.acc: 94.9414, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1916, s1.loss_cls: 0.0658, s1.acc: 95.1711, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0914, s2.loss_cls: 0.0344, s2.acc: 94.8014, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0435, loss: 1.0169 2022-09-13 15:30:07,083 - mmdet - INFO - Epoch [13][2050/7330] lr: 1.000e-04, eta: 2 days, 18:00:18, time: 1.368, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1841, s0.loss_cls: 0.1404, s0.acc: 94.9661, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1950, s1.loss_cls: 0.0658, s1.acc: 95.2202, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0917, s2.loss_cls: 0.0337, s2.acc: 95.0385, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0430, loss: 1.0233 2022-09-13 15:31:15,618 - mmdet - INFO - Epoch [13][2100/7330] lr: 1.000e-04, eta: 2 days, 17:59:10, time: 1.371, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1415, s0.acc: 94.9062, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1905, s1.loss_cls: 0.0669, s1.acc: 95.1944, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0897, s2.loss_cls: 0.0342, s2.acc: 94.9743, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0423, loss: 1.0131 2022-09-13 15:32:22,881 - mmdet - INFO - Epoch [13][2150/7330] lr: 1.000e-04, eta: 2 days, 17:58:00, time: 1.345, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1830, s0.loss_cls: 0.1417, s0.acc: 94.9153, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1994, s1.loss_cls: 0.0676, s1.acc: 95.1569, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0944, s2.loss_cls: 0.0347, s2.acc: 94.8096, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0444, loss: 1.0351 2022-09-13 15:33:30,172 - mmdet - INFO - Epoch [13][2200/7330] lr: 1.000e-04, eta: 2 days, 17:56:49, time: 1.346, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1779, s0.loss_cls: 0.1356, s0.acc: 95.0217, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1933, s1.loss_cls: 0.0651, s1.acc: 95.1953, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0915, s2.loss_cls: 0.0336, s2.acc: 94.9827, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0432, loss: 1.0041 2022-09-13 15:34:38,322 - mmdet - INFO - Epoch [13][2250/7330] lr: 1.000e-04, eta: 2 days, 17:55:41, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1815, s0.loss_cls: 0.1379, s0.acc: 94.9780, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1920, s1.loss_cls: 0.0676, s1.acc: 95.1348, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0899, s2.loss_cls: 0.0351, s2.acc: 94.8437, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0424, loss: 1.0120 2022-09-13 15:35:46,787 - mmdet - INFO - Epoch [13][2300/7330] lr: 1.000e-04, eta: 2 days, 17:54:33, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1853, s0.loss_cls: 0.1512, s0.acc: 94.5669, s0.loss_bbox: 0.0831, s0.loss_mask: 0.2000, s1.loss_cls: 0.0734, s1.acc: 94.7689, s1.loss_bbox: 0.0942, s1.loss_mask: 0.0936, s2.loss_cls: 0.0374, s2.acc: 94.6112, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0438, loss: 1.0683 2022-09-13 15:36:54,831 - mmdet - INFO - Epoch [13][2350/7330] lr: 1.000e-04, eta: 2 days, 17:53:24, time: 1.361, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1819, s0.loss_cls: 0.1454, s0.acc: 94.6902, s0.loss_bbox: 0.0832, s0.loss_mask: 0.1993, s1.loss_cls: 0.0695, s1.acc: 94.9643, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0939, s2.loss_cls: 0.0352, s2.acc: 94.7918, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0443, loss: 1.0528 2022-09-13 15:38:03,098 - mmdet - INFO - Epoch [13][2400/7330] lr: 1.000e-04, eta: 2 days, 17:52:15, time: 1.365, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1847, s0.loss_cls: 0.1384, s0.acc: 95.0774, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1898, s1.loss_cls: 0.0654, s1.acc: 95.3920, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0894, s2.loss_cls: 0.0335, s2.acc: 95.2097, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0424, loss: 1.0048 2022-09-13 15:39:11,480 - mmdet - INFO - Epoch [13][2450/7330] lr: 1.000e-04, eta: 2 days, 17:51:07, time: 1.368, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1884, s0.loss_cls: 0.1439, s0.acc: 94.8408, s0.loss_bbox: 0.0808, s0.loss_mask: 0.1984, s1.loss_cls: 0.0697, s1.acc: 94.9865, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0937, s2.loss_cls: 0.0348, s2.acc: 94.8772, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0443, loss: 1.0510 2022-09-13 15:40:19,562 - mmdet - INFO - Epoch [13][2500/7330] lr: 1.000e-04, eta: 2 days, 17:49:58, time: 1.362, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1337, s0.acc: 95.1882, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1917, s1.loss_cls: 0.0645, s1.acc: 95.3617, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0897, s2.loss_cls: 0.0325, s2.acc: 95.2193, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0425, loss: 0.9859 2022-09-13 15:41:27,700 - mmdet - INFO - Epoch [13][2550/7330] lr: 1.000e-04, eta: 2 days, 17:48:50, time: 1.362, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1849, s0.loss_cls: 0.1437, s0.acc: 94.7917, s0.loss_bbox: 0.0807, s0.loss_mask: 0.2023, s1.loss_cls: 0.0691, s1.acc: 95.0048, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0948, s2.loss_cls: 0.0355, s2.acc: 94.8201, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0450, loss: 1.0533 2022-09-13 15:42:34,394 - mmdet - INFO - Epoch [13][2600/7330] lr: 1.000e-04, eta: 2 days, 17:47:38, time: 1.334, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1851, s0.loss_cls: 0.1350, s0.acc: 95.1636, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1921, s1.loss_cls: 0.0638, s1.acc: 95.4640, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0910, s2.loss_cls: 0.0327, s2.acc: 95.2193, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0430, loss: 1.0094 2022-09-13 15:43:42,214 - mmdet - INFO - Epoch [13][2650/7330] lr: 1.000e-04, eta: 2 days, 17:46:29, time: 1.356, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1834, s0.loss_cls: 0.1416, s0.acc: 94.9958, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1968, s1.loss_cls: 0.0673, s1.acc: 95.2815, s1.loss_bbox: 0.0880, s1.loss_mask: 0.0925, s2.loss_cls: 0.0345, s2.acc: 94.9684, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0437, loss: 1.0333 2022-09-13 15:44:51,185 - mmdet - INFO - Epoch [13][2700/7330] lr: 1.000e-04, eta: 2 days, 17:45:22, time: 1.379, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1910, s0.loss_cls: 0.1514, s0.acc: 94.5271, s0.loss_bbox: 0.0827, s0.loss_mask: 0.1968, s1.loss_cls: 0.0726, s1.acc: 94.7532, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0928, s2.loss_cls: 0.0369, s2.acc: 94.6237, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0439, loss: 1.0730 2022-09-13 15:45:58,278 - mmdet - INFO - Epoch [13][2750/7330] lr: 1.000e-04, eta: 2 days, 17:44:11, time: 1.342, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1863, s0.loss_cls: 0.1444, s0.acc: 94.7539, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1933, s1.loss_cls: 0.0690, s1.acc: 95.0839, s1.loss_bbox: 0.0906, s1.loss_mask: 0.0905, s2.loss_cls: 0.0356, s2.acc: 94.8368, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0426, loss: 1.0382 2022-09-13 15:47:06,732 - mmdet - INFO - Epoch [13][2800/7330] lr: 1.000e-04, eta: 2 days, 17:43:03, time: 1.369, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1809, s0.loss_cls: 0.1383, s0.acc: 95.0190, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1938, s1.loss_cls: 0.0663, s1.acc: 95.2260, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0911, s2.loss_cls: 0.0338, s2.acc: 95.0081, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0433, loss: 1.0104 2022-09-13 15:48:14,778 - mmdet - INFO - Epoch [13][2850/7330] lr: 1.000e-04, eta: 2 days, 17:41:54, time: 1.357, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1793, s0.loss_cls: 0.1321, s0.acc: 95.1790, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1957, s1.loss_cls: 0.0630, s1.acc: 95.4707, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0926, s2.loss_cls: 0.0325, s2.acc: 95.2038, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0438, loss: 1.0006 2022-09-13 15:49:23,049 - mmdet - INFO - Epoch [13][2900/7330] lr: 1.000e-04, eta: 2 days, 17:40:46, time: 1.369, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1862, s0.loss_cls: 0.1402, s0.acc: 94.9421, s0.loss_bbox: 0.0799, s0.loss_mask: 0.1942, s1.loss_cls: 0.0662, s1.acc: 95.1799, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0915, s2.loss_cls: 0.0341, s2.acc: 94.9832, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0429, loss: 1.0267 2022-09-13 15:50:31,722 - mmdet - INFO - Epoch [13][2950/7330] lr: 1.000e-04, eta: 2 days, 17:39:38, time: 1.373, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1856, s0.loss_cls: 0.1409, s0.acc: 94.9221, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1965, s1.loss_cls: 0.0674, s1.acc: 95.1497, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0914, s2.loss_cls: 0.0347, s2.acc: 94.9216, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0431, loss: 1.0348 2022-09-13 15:51:40,040 - mmdet - INFO - Epoch [13][3000/7330] lr: 1.000e-04, eta: 2 days, 17:38:30, time: 1.366, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1433, s0.acc: 94.8513, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1950, s1.loss_cls: 0.0686, s1.acc: 95.0529, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0913, s2.loss_cls: 0.0358, s2.acc: 94.7208, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0432, loss: 1.0322 2022-09-13 15:52:48,232 - mmdet - INFO - Epoch [13][3050/7330] lr: 1.000e-04, eta: 2 days, 17:37:21, time: 1.364, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1775, s0.loss_cls: 0.1432, s0.acc: 94.8833, s0.loss_bbox: 0.0815, s0.loss_mask: 0.1952, s1.loss_cls: 0.0681, s1.acc: 95.0203, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0916, s2.loss_cls: 0.0350, s2.acc: 94.7947, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0427, loss: 1.0297 2022-09-13 15:53:56,634 - mmdet - INFO - Epoch [13][3100/7330] lr: 1.000e-04, eta: 2 days, 17:36:13, time: 1.368, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1820, s0.loss_cls: 0.1393, s0.acc: 94.8711, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1959, s1.loss_cls: 0.0667, s1.acc: 95.1195, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0925, s2.loss_cls: 0.0340, s2.acc: 94.9443, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0441, loss: 1.0300 2022-09-13 15:55:04,326 - mmdet - INFO - Epoch [13][3150/7330] lr: 1.000e-04, eta: 2 days, 17:35:03, time: 1.354, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1863, s0.loss_cls: 0.1407, s0.acc: 94.9592, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1949, s1.loss_cls: 0.0671, s1.acc: 95.1631, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0922, s2.loss_cls: 0.0345, s2.acc: 95.0253, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0437, loss: 1.0287 2022-09-13 15:56:11,156 - mmdet - INFO - Epoch [13][3200/7330] lr: 1.000e-04, eta: 2 days, 17:33:52, time: 1.336, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1841, s0.loss_cls: 0.1349, s0.acc: 95.0605, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1926, s1.loss_cls: 0.0649, s1.acc: 95.2896, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0909, s2.loss_cls: 0.0335, s2.acc: 95.0343, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0428, loss: 1.0112 2022-09-13 15:57:20,496 - mmdet - INFO - Epoch [13][3250/7330] lr: 1.000e-04, eta: 2 days, 17:32:46, time: 1.387, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1784, s0.loss_cls: 0.1346, s0.acc: 95.1162, s0.loss_bbox: 0.0760, s0.loss_mask: 0.1885, s1.loss_cls: 0.0626, s1.acc: 95.4100, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0890, s2.loss_cls: 0.0321, s2.acc: 95.2048, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0418, loss: 0.9893 2022-09-13 15:58:28,362 - mmdet - INFO - Epoch [13][3300/7330] lr: 1.000e-04, eta: 2 days, 17:31:36, time: 1.356, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1786, s0.loss_cls: 0.1426, s0.acc: 94.9360, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1958, s1.loss_cls: 0.0681, s1.acc: 95.2114, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0921, s2.loss_cls: 0.0343, s2.acc: 95.0367, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0437, loss: 1.0174 2022-09-13 15:59:36,570 - mmdet - INFO - Epoch [13][3350/7330] lr: 1.000e-04, eta: 2 days, 17:30:28, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1866, s0.loss_cls: 0.1414, s0.acc: 94.9546, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1939, s1.loss_cls: 0.0683, s1.acc: 95.1310, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0904, s2.loss_cls: 0.0349, s2.acc: 94.9354, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0429, loss: 1.0281 2022-09-13 16:00:45,027 - mmdet - INFO - Epoch [13][3400/7330] lr: 1.000e-04, eta: 2 days, 17:29:20, time: 1.369, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0299, loss_semantic_seg: 0.1834, s0.loss_cls: 0.1425, s0.acc: 94.8325, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1982, s1.loss_cls: 0.0676, s1.acc: 95.1136, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0937, s2.loss_cls: 0.0342, s2.acc: 94.9843, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0440, loss: 1.0395 2022-09-13 16:01:52,294 - mmdet - INFO - Epoch [13][3450/7330] lr: 1.000e-04, eta: 2 days, 17:28:10, time: 1.345, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1417, s0.acc: 94.9038, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1978, s1.loss_cls: 0.0679, s1.acc: 95.0924, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0936, s2.loss_cls: 0.0349, s2.acc: 94.8684, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0443, loss: 1.0303 2022-09-13 16:03:01,367 - mmdet - INFO - Epoch [13][3500/7330] lr: 1.000e-04, eta: 2 days, 17:27:03, time: 1.381, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1798, s0.loss_cls: 0.1436, s0.acc: 94.6843, s0.loss_bbox: 0.0808, s0.loss_mask: 0.1961, s1.loss_cls: 0.0689, s1.acc: 94.8860, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0921, s2.loss_cls: 0.0354, s2.acc: 94.7008, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0438, loss: 1.0366 2022-09-13 16:04:09,436 - mmdet - INFO - Epoch [13][3550/7330] lr: 1.000e-04, eta: 2 days, 17:25:54, time: 1.361, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1380, s0.acc: 94.9368, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1962, s1.loss_cls: 0.0665, s1.acc: 95.1108, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0920, s2.loss_cls: 0.0338, s2.acc: 94.8977, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0435, loss: 1.0120 2022-09-13 16:05:17,273 - mmdet - INFO - Epoch [13][3600/7330] lr: 1.000e-04, eta: 2 days, 17:24:45, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1918, s0.loss_cls: 0.1428, s0.acc: 94.7854, s0.loss_bbox: 0.0798, s0.loss_mask: 0.2006, s1.loss_cls: 0.0674, s1.acc: 95.1268, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0942, s2.loss_cls: 0.0344, s2.acc: 94.8679, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0443, loss: 1.0540 2022-09-13 16:06:24,722 - mmdet - INFO - Epoch [13][3650/7330] lr: 1.000e-04, eta: 2 days, 17:23:35, time: 1.349, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1871, s0.loss_cls: 0.1350, s0.acc: 95.1086, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1927, s1.loss_cls: 0.0642, s1.acc: 95.3813, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0911, s2.loss_cls: 0.0333, s2.acc: 95.1720, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0429, loss: 1.0091 2022-09-13 16:07:32,611 - mmdet - INFO - Epoch [13][3700/7330] lr: 1.000e-04, eta: 2 days, 17:22:25, time: 1.357, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1830, s0.loss_cls: 0.1474, s0.acc: 94.6487, s0.loss_bbox: 0.0818, s0.loss_mask: 0.1990, s1.loss_cls: 0.0717, s1.acc: 94.7928, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0935, s2.loss_cls: 0.0366, s2.acc: 94.6267, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0441, loss: 1.0506 2022-09-13 16:08:40,105 - mmdet - INFO - Epoch [13][3750/7330] lr: 1.000e-04, eta: 2 days, 17:21:15, time: 1.351, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1832, s0.loss_cls: 0.1417, s0.acc: 94.9995, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1900, s1.loss_cls: 0.0668, s1.acc: 95.2228, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0894, s2.loss_cls: 0.0342, s2.acc: 95.0108, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0426, loss: 1.0133 2022-09-13 16:09:49,574 - mmdet - INFO - Epoch [13][3800/7330] lr: 1.000e-04, eta: 2 days, 17:20:09, time: 1.388, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1779, s0.loss_cls: 0.1463, s0.acc: 94.7397, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1909, s1.loss_cls: 0.0690, s1.acc: 95.0122, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0892, s2.loss_cls: 0.0352, s2.acc: 94.8379, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0419, loss: 1.0207 2022-09-13 16:10:56,980 - mmdet - INFO - Epoch [13][3850/7330] lr: 1.000e-04, eta: 2 days, 17:18:59, time: 1.350, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1800, s0.loss_cls: 0.1416, s0.acc: 94.8962, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1926, s1.loss_cls: 0.0679, s1.acc: 95.0842, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0908, s2.loss_cls: 0.0346, s2.acc: 94.7694, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0425, loss: 1.0246 2022-09-13 16:12:05,312 - mmdet - INFO - Epoch [13][3900/7330] lr: 1.000e-04, eta: 2 days, 17:17:51, time: 1.367, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1878, s0.loss_cls: 0.1499, s0.acc: 94.4851, s0.loss_bbox: 0.0837, s0.loss_mask: 0.1979, s1.loss_cls: 0.0710, s1.acc: 94.7659, s1.loss_bbox: 0.0922, s1.loss_mask: 0.0924, s2.loss_cls: 0.0357, s2.acc: 94.5967, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0435, loss: 1.0631 2022-09-13 16:13:14,469 - mmdet - INFO - Epoch [13][3950/7330] lr: 1.000e-04, eta: 2 days, 17:16:44, time: 1.383, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1459, s0.acc: 94.6426, s0.loss_bbox: 0.0837, s0.loss_mask: 0.1986, s1.loss_cls: 0.0691, s1.acc: 94.9405, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0934, s2.loss_cls: 0.0356, s2.acc: 94.8594, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0434, loss: 1.0502 2022-09-13 16:14:22,384 - mmdet - INFO - Epoch [13][4000/7330] lr: 1.000e-04, eta: 2 days, 17:15:35, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1886, s0.loss_cls: 0.1397, s0.acc: 94.9729, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1959, s1.loss_cls: 0.0664, s1.acc: 95.1950, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0919, s2.loss_cls: 0.0341, s2.acc: 94.9915, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0433, loss: 1.0272 2022-09-13 16:15:30,724 - mmdet - INFO - Epoch [13][4050/7330] lr: 1.000e-04, eta: 2 days, 17:14:27, time: 1.367, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1800, s0.loss_cls: 0.1375, s0.acc: 94.9819, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1888, s1.loss_cls: 0.0657, s1.acc: 95.2276, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0886, s2.loss_cls: 0.0337, s2.acc: 94.9887, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0417, loss: 0.9980 2022-09-13 16:16:38,315 - mmdet - INFO - Epoch [13][4100/7330] lr: 1.000e-04, eta: 2 days, 17:13:17, time: 1.352, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1856, s0.loss_cls: 0.1417, s0.acc: 94.9199, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1941, s1.loss_cls: 0.0685, s1.acc: 95.0306, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0913, s2.loss_cls: 0.0354, s2.acc: 94.8487, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0427, loss: 1.0297 2022-09-13 16:17:46,026 - mmdet - INFO - Epoch [13][4150/7330] lr: 1.000e-04, eta: 2 days, 17:12:08, time: 1.354, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1417, s0.acc: 94.9595, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1950, s1.loss_cls: 0.0674, s1.acc: 95.1836, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0916, s2.loss_cls: 0.0340, s2.acc: 95.0537, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0430, loss: 1.0196 2022-09-13 16:18:54,219 - mmdet - INFO - Epoch [13][4200/7330] lr: 1.000e-04, eta: 2 days, 17:10:59, time: 1.364, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1897, s0.loss_cls: 0.1427, s0.acc: 94.8596, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1992, s1.loss_cls: 0.0695, s1.acc: 95.0402, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0931, s2.loss_cls: 0.0353, s2.acc: 94.8459, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0437, loss: 1.0459 2022-09-13 16:20:02,580 - mmdet - INFO - Epoch [13][4250/7330] lr: 1.000e-04, eta: 2 days, 17:09:51, time: 1.367, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1793, s0.loss_cls: 0.1434, s0.acc: 94.8569, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1916, s1.loss_cls: 0.0685, s1.acc: 95.0638, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0903, s2.loss_cls: 0.0350, s2.acc: 94.8528, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0425, loss: 1.0243 2022-09-13 16:21:10,578 - mmdet - INFO - Epoch [13][4300/7330] lr: 1.000e-04, eta: 2 days, 17:08:42, time: 1.360, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1376, s0.acc: 95.0281, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1876, s1.loss_cls: 0.0660, s1.acc: 95.1837, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0889, s2.loss_cls: 0.0338, s2.acc: 94.9572, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0418, loss: 1.0019 2022-09-13 16:22:18,270 - mmdet - INFO - Epoch [13][4350/7330] lr: 1.000e-04, eta: 2 days, 17:07:32, time: 1.354, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1826, s0.loss_cls: 0.1445, s0.acc: 94.7434, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1939, s1.loss_cls: 0.0691, s1.acc: 94.9699, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0916, s2.loss_cls: 0.0349, s2.acc: 94.7804, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0433, loss: 1.0337 2022-09-13 16:23:26,472 - mmdet - INFO - Epoch [13][4400/7330] lr: 1.000e-04, eta: 2 days, 17:06:24, time: 1.364, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1411, s0.acc: 94.8342, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1945, s1.loss_cls: 0.0695, s1.acc: 94.9677, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0915, s2.loss_cls: 0.0351, s2.acc: 94.7822, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0433, loss: 1.0306 2022-09-13 16:24:34,311 - mmdet - INFO - Epoch [13][4450/7330] lr: 1.000e-04, eta: 2 days, 17:05:14, time: 1.356, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1850, s0.loss_cls: 0.1436, s0.acc: 94.7834, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1957, s1.loss_cls: 0.0689, s1.acc: 94.9767, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0917, s2.loss_cls: 0.0354, s2.acc: 94.7543, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0431, loss: 1.0354 2022-09-13 16:25:42,265 - mmdet - INFO - Epoch [13][4500/7330] lr: 1.000e-04, eta: 2 days, 17:04:05, time: 1.360, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1921, s0.loss_cls: 0.1397, s0.acc: 95.0557, s0.loss_bbox: 0.0760, s0.loss_mask: 0.1947, s1.loss_cls: 0.0655, s1.acc: 95.2809, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0922, s2.loss_cls: 0.0334, s2.acc: 95.1753, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0438, loss: 1.0241 2022-09-13 16:26:49,823 - mmdet - INFO - Epoch [13][4550/7330] lr: 1.000e-04, eta: 2 days, 17:02:56, time: 1.351, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1871, s0.loss_cls: 0.1336, s0.acc: 95.1758, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1905, s1.loss_cls: 0.0638, s1.acc: 95.3869, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0902, s2.loss_cls: 0.0316, s2.acc: 95.3687, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0428, loss: 0.9993 2022-09-13 16:27:58,423 - mmdet - INFO - Epoch [13][4600/7330] lr: 1.000e-04, eta: 2 days, 17:01:48, time: 1.372, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1931, s0.loss_cls: 0.1439, s0.acc: 94.8459, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1934, s1.loss_cls: 0.0686, s1.acc: 95.0512, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0910, s2.loss_cls: 0.0355, s2.acc: 94.8755, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0432, loss: 1.0452 2022-09-13 16:29:06,204 - mmdet - INFO - Epoch [13][4650/7330] lr: 1.000e-04, eta: 2 days, 17:00:39, time: 1.356, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1910, s0.loss_cls: 0.1343, s0.acc: 95.1406, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1898, s1.loss_cls: 0.0637, s1.acc: 95.3942, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0896, s2.loss_cls: 0.0328, s2.acc: 95.2142, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0424, loss: 1.0028 2022-09-13 16:30:14,418 - mmdet - INFO - Epoch [13][4700/7330] lr: 1.000e-04, eta: 2 days, 16:59:30, time: 1.364, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1861, s0.loss_cls: 0.1390, s0.acc: 94.9087, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1934, s1.loss_cls: 0.0664, s1.acc: 95.1373, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0910, s2.loss_cls: 0.0343, s2.acc: 94.8753, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0424, loss: 1.0205 2022-09-13 16:31:22,045 - mmdet - INFO - Epoch [13][4750/7330] lr: 1.000e-04, eta: 2 days, 16:58:20, time: 1.352, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1899, s0.loss_cls: 0.1421, s0.acc: 94.9631, s0.loss_bbox: 0.0771, s0.loss_mask: 0.1904, s1.loss_cls: 0.0670, s1.acc: 95.2376, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0886, s2.loss_cls: 0.0342, s2.acc: 95.0426, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0414, loss: 1.0176 2022-09-13 16:32:30,243 - mmdet - INFO - Epoch [13][4800/7330] lr: 1.000e-04, eta: 2 days, 16:57:12, time: 1.364, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1453, s0.acc: 94.6956, s0.loss_bbox: 0.0818, s0.loss_mask: 0.2013, s1.loss_cls: 0.0702, s1.acc: 94.9254, s1.loss_bbox: 0.0923, s1.loss_mask: 0.0941, s2.loss_cls: 0.0357, s2.acc: 94.7328, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0444, loss: 1.0633 2022-09-13 16:33:37,990 - mmdet - INFO - Epoch [13][4850/7330] lr: 1.000e-04, eta: 2 days, 16:56:02, time: 1.355, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1769, s0.loss_cls: 0.1393, s0.acc: 94.9880, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1964, s1.loss_cls: 0.0667, s1.acc: 95.2089, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0925, s2.loss_cls: 0.0346, s2.acc: 94.9342, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0436, loss: 1.0178 2022-09-13 16:34:46,606 - mmdet - INFO - Epoch [13][4900/7330] lr: 1.000e-04, eta: 2 days, 16:54:55, time: 1.372, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1786, s0.loss_cls: 0.1440, s0.acc: 94.7988, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1956, s1.loss_cls: 0.0706, s1.acc: 94.9529, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0920, s2.loss_cls: 0.0358, s2.acc: 94.7453, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0432, loss: 1.0301 2022-09-13 16:35:54,454 - mmdet - INFO - Epoch [13][4950/7330] lr: 1.000e-04, eta: 2 days, 16:53:46, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1775, s0.loss_cls: 0.1407, s0.acc: 94.9922, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1966, s1.loss_cls: 0.0678, s1.acc: 95.1949, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0928, s2.loss_cls: 0.0352, s2.acc: 94.8791, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0436, loss: 1.0202 2022-09-13 16:37:02,090 - mmdet - INFO - Epoch [13][5000/7330] lr: 1.000e-04, eta: 2 days, 16:52:36, time: 1.353, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1869, s0.loss_cls: 0.1404, s0.acc: 94.9192, s0.loss_bbox: 0.0799, s0.loss_mask: 0.1952, s1.loss_cls: 0.0667, s1.acc: 95.1715, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0923, s2.loss_cls: 0.0339, s2.acc: 94.9218, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0436, loss: 1.0361 2022-09-13 16:38:09,508 - mmdet - INFO - Epoch [13][5050/7330] lr: 1.000e-04, eta: 2 days, 16:51:26, time: 1.348, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1360, s0.acc: 95.0867, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1904, s1.loss_cls: 0.0642, s1.acc: 95.3603, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0896, s2.loss_cls: 0.0328, s2.acc: 95.1313, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0421, loss: 0.9999 2022-09-13 16:39:18,280 - mmdet - INFO - Epoch [13][5100/7330] lr: 1.000e-04, eta: 2 days, 16:50:18, time: 1.375, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1855, s0.loss_cls: 0.1520, s0.acc: 94.4944, s0.loss_bbox: 0.0836, s0.loss_mask: 0.1988, s1.loss_cls: 0.0732, s1.acc: 94.7295, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0938, s2.loss_cls: 0.0373, s2.acc: 94.4565, s2.loss_bbox: 0.0598, s2.loss_mask: 0.0442, loss: 1.0740 2022-09-13 16:40:27,153 - mmdet - INFO - Epoch [13][5150/7330] lr: 1.000e-04, eta: 2 days, 16:49:11, time: 1.378, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1831, s0.loss_cls: 0.1433, s0.acc: 94.7893, s0.loss_bbox: 0.0811, s0.loss_mask: 0.1988, s1.loss_cls: 0.0688, s1.acc: 94.9993, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0936, s2.loss_cls: 0.0354, s2.acc: 94.7379, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0441, loss: 1.0423 2022-09-13 16:41:34,769 - mmdet - INFO - Epoch [13][5200/7330] lr: 1.000e-04, eta: 2 days, 16:48:01, time: 1.352, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1940, s0.loss_cls: 0.1497, s0.acc: 94.6936, s0.loss_bbox: 0.0803, s0.loss_mask: 0.1965, s1.loss_cls: 0.0731, s1.acc: 94.7879, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0919, s2.loss_cls: 0.0372, s2.acc: 94.6518, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0437, loss: 1.0554 2022-09-13 16:42:43,278 - mmdet - INFO - Epoch [13][5250/7330] lr: 1.000e-04, eta: 2 days, 16:46:53, time: 1.370, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1813, s0.loss_cls: 0.1429, s0.acc: 94.8186, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1951, s1.loss_cls: 0.0693, s1.acc: 94.9686, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0922, s2.loss_cls: 0.0354, s2.acc: 94.7344, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0432, loss: 1.0336 2022-09-13 16:43:52,358 - mmdet - INFO - Epoch [13][5300/7330] lr: 1.000e-04, eta: 2 days, 16:45:47, time: 1.382, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1910, s0.loss_cls: 0.1385, s0.acc: 95.0654, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1942, s1.loss_cls: 0.0660, s1.acc: 95.2934, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0921, s2.loss_cls: 0.0337, s2.acc: 95.1239, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0435, loss: 1.0255 2022-09-13 16:45:00,336 - mmdet - INFO - Epoch [13][5350/7330] lr: 1.000e-04, eta: 2 days, 16:44:38, time: 1.360, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1902, s0.loss_cls: 0.1433, s0.acc: 94.9023, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1932, s1.loss_cls: 0.0698, s1.acc: 95.0303, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0909, s2.loss_cls: 0.0356, s2.acc: 94.8391, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0431, loss: 1.0303 2022-09-13 16:46:08,350 - mmdet - INFO - Epoch [13][5400/7330] lr: 1.000e-04, eta: 2 days, 16:43:29, time: 1.360, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1859, s0.loss_cls: 0.1496, s0.acc: 94.6567, s0.loss_bbox: 0.0806, s0.loss_mask: 0.2006, s1.loss_cls: 0.0727, s1.acc: 94.8006, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0937, s2.loss_cls: 0.0374, s2.acc: 94.5464, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0438, loss: 1.0591 2022-09-13 16:47:17,600 - mmdet - INFO - Epoch [13][5450/7330] lr: 1.000e-04, eta: 2 days, 16:42:22, time: 1.385, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1844, s0.loss_cls: 0.1447, s0.acc: 94.6826, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1982, s1.loss_cls: 0.0684, s1.acc: 94.9968, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0936, s2.loss_cls: 0.0347, s2.acc: 94.8309, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0438, loss: 1.0445 2022-09-13 16:48:26,326 - mmdet - INFO - Epoch [13][5500/7330] lr: 1.000e-04, eta: 2 days, 16:41:15, time: 1.375, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1887, s0.loss_cls: 0.1469, s0.acc: 94.7629, s0.loss_bbox: 0.0812, s0.loss_mask: 0.1894, s1.loss_cls: 0.0704, s1.acc: 94.8796, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0889, s2.loss_cls: 0.0362, s2.acc: 94.6704, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0418, loss: 1.0390 2022-09-13 16:49:33,859 - mmdet - INFO - Epoch [13][5550/7330] lr: 1.000e-04, eta: 2 days, 16:40:05, time: 1.350, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1740, s0.loss_cls: 0.1415, s0.acc: 94.9404, s0.loss_bbox: 0.0799, s0.loss_mask: 0.1998, s1.loss_cls: 0.0674, s1.acc: 95.1829, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0948, s2.loss_cls: 0.0345, s2.acc: 94.9074, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0446, loss: 1.0335 2022-09-13 16:50:41,618 - mmdet - INFO - Epoch [13][5600/7330] lr: 1.000e-04, eta: 2 days, 16:38:55, time: 1.355, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1808, s0.loss_cls: 0.1380, s0.acc: 94.9900, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1963, s1.loss_cls: 0.0662, s1.acc: 95.2090, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0926, s2.loss_cls: 0.0342, s2.acc: 94.9705, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0432, loss: 1.0200 2022-09-13 16:51:49,954 - mmdet - INFO - Epoch [13][5650/7330] lr: 1.000e-04, eta: 2 days, 16:37:47, time: 1.365, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1809, s0.loss_cls: 0.1465, s0.acc: 94.7019, s0.loss_bbox: 0.0834, s0.loss_mask: 0.2001, s1.loss_cls: 0.0712, s1.acc: 94.8442, s1.loss_bbox: 0.0919, s1.loss_mask: 0.0934, s2.loss_cls: 0.0366, s2.acc: 94.6267, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0441, loss: 1.0574 2022-09-13 16:52:57,160 - mmdet - INFO - Epoch [13][5700/7330] lr: 1.000e-04, eta: 2 days, 16:36:37, time: 1.346, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1823, s0.loss_cls: 0.1428, s0.acc: 94.7827, s0.loss_bbox: 0.0807, s0.loss_mask: 0.2015, s1.loss_cls: 0.0688, s1.acc: 94.9895, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0957, s2.loss_cls: 0.0348, s2.acc: 94.7929, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0454, loss: 1.0444 2022-09-13 16:54:05,068 - mmdet - INFO - Epoch [13][5750/7330] lr: 1.000e-04, eta: 2 days, 16:35:28, time: 1.358, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1800, s0.loss_cls: 0.1435, s0.acc: 94.8784, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1990, s1.loss_cls: 0.0685, s1.acc: 95.0529, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0936, s2.loss_cls: 0.0349, s2.acc: 94.8836, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0442, loss: 1.0348 2022-09-13 16:55:13,541 - mmdet - INFO - Epoch [13][5800/7330] lr: 1.000e-04, eta: 2 days, 16:34:20, time: 1.370, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1360, s0.acc: 95.0483, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1944, s1.loss_cls: 0.0647, s1.acc: 95.2765, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0908, s2.loss_cls: 0.0331, s2.acc: 95.0774, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0427, loss: 1.0085 2022-09-13 16:56:20,732 - mmdet - INFO - Epoch [13][5850/7330] lr: 1.000e-04, eta: 2 days, 16:33:09, time: 1.344, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1473, s0.acc: 94.6770, s0.loss_bbox: 0.0808, s0.loss_mask: 0.1994, s1.loss_cls: 0.0709, s1.acc: 94.9074, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0934, s2.loss_cls: 0.0359, s2.acc: 94.8482, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0439, loss: 1.0614 2022-09-13 16:57:28,454 - mmdet - INFO - Epoch [13][5900/7330] lr: 1.000e-04, eta: 2 days, 16:32:00, time: 1.354, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1843, s0.loss_cls: 0.1329, s0.acc: 95.0991, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1978, s1.loss_cls: 0.0634, s1.acc: 95.4280, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0932, s2.loss_cls: 0.0323, s2.acc: 95.1401, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0443, loss: 1.0170 2022-09-13 16:58:36,628 - mmdet - INFO - Epoch [13][5950/7330] lr: 1.000e-04, eta: 2 days, 16:30:51, time: 1.364, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1859, s0.loss_cls: 0.1471, s0.acc: 94.7395, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1941, s1.loss_cls: 0.0702, s1.acc: 95.0330, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0907, s2.loss_cls: 0.0361, s2.acc: 94.7738, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0427, loss: 1.0409 2022-09-13 16:59:44,960 - mmdet - INFO - Epoch [13][6000/7330] lr: 1.000e-04, eta: 2 days, 16:29:43, time: 1.366, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1858, s0.loss_cls: 0.1441, s0.acc: 94.7710, s0.loss_bbox: 0.0806, s0.loss_mask: 0.1967, s1.loss_cls: 0.0697, s1.acc: 94.9670, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0931, s2.loss_cls: 0.0351, s2.acc: 94.7472, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0438, loss: 1.0474 2022-09-13 17:00:53,606 - mmdet - INFO - Epoch [13][6050/7330] lr: 1.000e-04, eta: 2 days, 16:28:35, time: 1.371, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1826, s0.loss_cls: 0.1397, s0.acc: 94.9480, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1973, s1.loss_cls: 0.0660, s1.acc: 95.2206, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0930, s2.loss_cls: 0.0341, s2.acc: 94.9583, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0443, loss: 1.0277 2022-09-13 17:02:01,791 - mmdet - INFO - Epoch [13][6100/7330] lr: 1.000e-04, eta: 2 days, 16:27:26, time: 1.362, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1792, s0.loss_cls: 0.1398, s0.acc: 94.9114, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1915, s1.loss_cls: 0.0666, s1.acc: 95.2292, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0901, s2.loss_cls: 0.0347, s2.acc: 94.9632, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0424, loss: 1.0170 2022-09-13 17:03:09,836 - mmdet - INFO - Epoch [13][6150/7330] lr: 1.000e-04, eta: 2 days, 16:26:18, time: 1.364, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1826, s0.loss_cls: 0.1445, s0.acc: 94.7637, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1964, s1.loss_cls: 0.0692, s1.acc: 94.9617, s1.loss_bbox: 0.0897, s1.loss_mask: 0.0923, s2.loss_cls: 0.0357, s2.acc: 94.7489, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0437, loss: 1.0390 2022-09-13 17:04:18,452 - mmdet - INFO - Epoch [13][6200/7330] lr: 1.000e-04, eta: 2 days, 16:25:10, time: 1.372, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1460, s0.acc: 94.8167, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1985, s1.loss_cls: 0.0700, s1.acc: 94.9968, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0931, s2.loss_cls: 0.0357, s2.acc: 94.8073, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0435, loss: 1.0476 2022-09-13 17:05:27,057 - mmdet - INFO - Epoch [13][6250/7330] lr: 1.000e-04, eta: 2 days, 16:24:02, time: 1.372, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1854, s0.loss_cls: 0.1465, s0.acc: 94.7634, s0.loss_bbox: 0.0814, s0.loss_mask: 0.1990, s1.loss_cls: 0.0714, s1.acc: 94.9527, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0931, s2.loss_cls: 0.0365, s2.acc: 94.7481, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0439, loss: 1.0561 2022-09-13 17:06:35,341 - mmdet - INFO - Epoch [13][6300/7330] lr: 1.000e-04, eta: 2 days, 16:22:54, time: 1.364, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1813, s0.loss_cls: 0.1479, s0.acc: 94.7004, s0.loss_bbox: 0.0817, s0.loss_mask: 0.1984, s1.loss_cls: 0.0707, s1.acc: 94.8929, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0933, s2.loss_cls: 0.0361, s2.acc: 94.7609, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0440, loss: 1.0456 2022-09-13 17:07:44,206 - mmdet - INFO - Epoch [13][6350/7330] lr: 1.000e-04, eta: 2 days, 16:21:46, time: 1.379, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1930, s0.loss_cls: 0.1496, s0.acc: 94.5940, s0.loss_bbox: 0.0836, s0.loss_mask: 0.2020, s1.loss_cls: 0.0718, s1.acc: 94.7594, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0955, s2.loss_cls: 0.0363, s2.acc: 94.6001, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0447, loss: 1.0799 2022-09-13 17:08:51,707 - mmdet - INFO - Epoch [13][6400/7330] lr: 1.000e-04, eta: 2 days, 16:20:37, time: 1.350, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1866, s0.loss_cls: 0.1424, s0.acc: 94.8491, s0.loss_bbox: 0.0811, s0.loss_mask: 0.1923, s1.loss_cls: 0.0673, s1.acc: 95.1714, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0897, s2.loss_cls: 0.0348, s2.acc: 94.9412, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0420, loss: 1.0314 2022-09-13 17:09:59,569 - mmdet - INFO - Epoch [13][6450/7330] lr: 1.000e-04, eta: 2 days, 16:19:28, time: 1.357, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1867, s0.loss_cls: 0.1391, s0.acc: 94.9458, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1903, s1.loss_cls: 0.0659, s1.acc: 95.2083, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0900, s2.loss_cls: 0.0341, s2.acc: 94.9638, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0428, loss: 1.0189 2022-09-13 17:11:07,223 - mmdet - INFO - Epoch [13][6500/7330] lr: 1.000e-04, eta: 2 days, 16:18:18, time: 1.353, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1803, s0.loss_cls: 0.1482, s0.acc: 94.6826, s0.loss_bbox: 0.0808, s0.loss_mask: 0.1956, s1.loss_cls: 0.0712, s1.acc: 94.8763, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0922, s2.loss_cls: 0.0360, s2.acc: 94.7565, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0432, loss: 1.0459 2022-09-13 17:12:15,097 - mmdet - INFO - Epoch [13][6550/7330] lr: 1.000e-04, eta: 2 days, 16:17:09, time: 1.358, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1929, s0.loss_cls: 0.1432, s0.acc: 94.8298, s0.loss_bbox: 0.0796, s0.loss_mask: 0.1934, s1.loss_cls: 0.0698, s1.acc: 95.0080, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0910, s2.loss_cls: 0.0361, s2.acc: 94.6387, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0429, loss: 1.0390 2022-09-13 17:13:23,518 - mmdet - INFO - Epoch [13][6600/7330] lr: 1.000e-04, eta: 2 days, 16:16:01, time: 1.368, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1859, s0.loss_cls: 0.1440, s0.acc: 94.8579, s0.loss_bbox: 0.0779, s0.loss_mask: 0.1942, s1.loss_cls: 0.0700, s1.acc: 95.0517, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0921, s2.loss_cls: 0.0353, s2.acc: 94.8590, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0435, loss: 1.0350 2022-09-13 17:14:32,667 - mmdet - INFO - Epoch [13][6650/7330] lr: 1.000e-04, eta: 2 days, 16:14:54, time: 1.383, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1916, s0.loss_cls: 0.1467, s0.acc: 94.7842, s0.loss_bbox: 0.0808, s0.loss_mask: 0.1928, s1.loss_cls: 0.0687, s1.acc: 95.0654, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0909, s2.loss_cls: 0.0358, s2.acc: 94.7475, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0428, loss: 1.0471 2022-09-13 17:15:43,848 - mmdet - INFO - Epoch [13][6700/7330] lr: 1.000e-04, eta: 2 days, 16:13:51, time: 1.424, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1424, s0.acc: 94.8303, s0.loss_bbox: 0.0828, s0.loss_mask: 0.1988, s1.loss_cls: 0.0677, s1.acc: 95.1054, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0928, s2.loss_cls: 0.0350, s2.acc: 94.8505, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0432, loss: 1.0428 2022-09-13 17:16:51,876 - mmdet - INFO - Epoch [13][6750/7330] lr: 1.000e-04, eta: 2 days, 16:12:42, time: 1.361, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1839, s0.loss_cls: 0.1426, s0.acc: 94.7781, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1954, s1.loss_cls: 0.0673, s1.acc: 95.1225, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0920, s2.loss_cls: 0.0343, s2.acc: 94.9983, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0432, loss: 1.0304 2022-09-13 17:18:00,529 - mmdet - INFO - Epoch [13][6800/7330] lr: 1.000e-04, eta: 2 days, 16:11:34, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1495, s0.acc: 94.7791, s0.loss_bbox: 0.0832, s0.loss_mask: 0.2018, s1.loss_cls: 0.0708, s1.acc: 95.0548, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0943, s2.loss_cls: 0.0351, s2.acc: 94.9682, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0444, loss: 1.0561 2022-09-13 17:19:10,648 - mmdet - INFO - Epoch [13][6850/7330] lr: 1.000e-04, eta: 2 days, 16:10:29, time: 1.402, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1851, s0.loss_cls: 0.1412, s0.acc: 94.9436, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1886, s1.loss_cls: 0.0674, s1.acc: 95.1532, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0896, s2.loss_cls: 0.0346, s2.acc: 94.9925, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0424, loss: 1.0129 2022-09-13 17:20:18,792 - mmdet - INFO - Epoch [13][6900/7330] lr: 1.000e-04, eta: 2 days, 16:09:20, time: 1.363, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1766, s0.loss_cls: 0.1351, s0.acc: 95.0996, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1911, s1.loss_cls: 0.0640, s1.acc: 95.3198, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0901, s2.loss_cls: 0.0328, s2.acc: 95.0231, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0427, loss: 0.9944 2022-09-13 17:21:28,090 - mmdet - INFO - Epoch [13][6950/7330] lr: 1.000e-04, eta: 2 days, 16:08:14, time: 1.386, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1877, s0.loss_cls: 0.1407, s0.acc: 95.0161, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1921, s1.loss_cls: 0.0675, s1.acc: 95.2449, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0901, s2.loss_cls: 0.0346, s2.acc: 94.9951, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0427, loss: 1.0222 2022-09-13 17:22:36,143 - mmdet - INFO - Epoch [13][7000/7330] lr: 1.000e-04, eta: 2 days, 16:07:05, time: 1.361, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1852, s0.loss_cls: 0.1286, s0.acc: 95.3535, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1919, s1.loss_cls: 0.0604, s1.acc: 95.6045, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0905, s2.loss_cls: 0.0309, s2.acc: 95.4039, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0427, loss: 0.9929 2022-09-13 17:23:44,961 - mmdet - INFO - Epoch [13][7050/7330] lr: 1.000e-04, eta: 2 days, 16:05:58, time: 1.376, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1868, s0.loss_cls: 0.1332, s0.acc: 95.1946, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1901, s1.loss_cls: 0.0639, s1.acc: 95.3724, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0890, s2.loss_cls: 0.0332, s2.acc: 95.0909, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0420, loss: 0.9967 2022-09-13 17:24:53,766 - mmdet - INFO - Epoch [13][7100/7330] lr: 1.000e-04, eta: 2 days, 16:04:50, time: 1.374, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1867, s0.loss_cls: 0.1409, s0.acc: 94.8823, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1927, s1.loss_cls: 0.0670, s1.acc: 95.1998, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0903, s2.loss_cls: 0.0343, s2.acc: 94.9249, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0426, loss: 1.0192 2022-09-13 17:26:02,759 - mmdet - INFO - Epoch [13][7150/7330] lr: 1.000e-04, eta: 2 days, 16:03:43, time: 1.381, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1995, s0.loss_cls: 0.1442, s0.acc: 94.8088, s0.loss_bbox: 0.0782, s0.loss_mask: 0.1948, s1.loss_cls: 0.0695, s1.acc: 94.9964, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0913, s2.loss_cls: 0.0351, s2.acc: 94.7914, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0432, loss: 1.0442 2022-09-13 17:27:10,870 - mmdet - INFO - Epoch [13][7200/7330] lr: 1.000e-04, eta: 2 days, 16:02:34, time: 1.362, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1804, s0.loss_cls: 0.1452, s0.acc: 94.8145, s0.loss_bbox: 0.0782, s0.loss_mask: 0.1960, s1.loss_cls: 0.0711, s1.acc: 94.9718, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0922, s2.loss_cls: 0.0369, s2.acc: 94.6606, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0431, loss: 1.0412 2022-09-13 17:28:19,440 - mmdet - INFO - Epoch [13][7250/7330] lr: 1.000e-04, eta: 2 days, 16:01:26, time: 1.371, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1804, s0.loss_cls: 0.1439, s0.acc: 94.8518, s0.loss_bbox: 0.0790, s0.loss_mask: 0.2001, s1.loss_cls: 0.0696, s1.acc: 95.0185, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0946, s2.loss_cls: 0.0356, s2.acc: 94.8420, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0446, loss: 1.0416 2022-09-13 17:29:28,384 - mmdet - INFO - Epoch [13][7300/7330] lr: 1.000e-04, eta: 2 days, 16:00:19, time: 1.379, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1695, s0.loss_cls: 0.1386, s0.acc: 94.9675, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1949, s1.loss_cls: 0.0661, s1.acc: 95.1846, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0919, s2.loss_cls: 0.0333, s2.acc: 94.9755, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0431, loss: 1.0027 2022-09-13 17:30:18,738 - mmdet - INFO - Saving checkpoint at 13 epochs 2022-09-13 17:33:58,823 - mmdet - INFO - Evaluating bbox... 2022-09-13 17:35:00,654 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.560 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.747 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.620 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.425 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.605 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.680 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.730 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.730 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.730 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.597 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.767 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.855 2022-09-13 17:35:00,655 - mmdet - INFO - Evaluating segm... 2022-09-13 17:36:12,967 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.489 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.727 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.536 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.318 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.525 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.666 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.489 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.674 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.783 2022-09-13 17:36:14,346 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 17:36:14,348 - mmdet - INFO - Epoch(val) [13][313] bbox_mAP: 0.5600, bbox_mAP_50: 0.7470, bbox_mAP_75: 0.6200, bbox_mAP_s: 0.4250, bbox_mAP_m: 0.6050, bbox_mAP_l: 0.6800, bbox_mAP_copypaste: 0.560 0.747 0.620 0.425 0.605 0.680, segm_mAP: 0.4890, segm_mAP_50: 0.7270, segm_mAP_75: 0.5360, segm_mAP_s: 0.3180, segm_mAP_m: 0.5250, segm_mAP_l: 0.6660, segm_mAP_copypaste: 0.489 0.727 0.536 0.318 0.525 0.666 2022-09-13 17:39:20,307 - mmdet - INFO - Epoch [14][50/7330] lr: 1.000e-04, eta: 2 days, 16:00:45, time: 3.718, data_time: 2.329, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1764, s0.loss_cls: 0.1345, s0.acc: 95.0476, s0.loss_bbox: 0.0779, s0.loss_mask: 0.1939, s1.loss_cls: 0.0628, s1.acc: 95.3764, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0915, s2.loss_cls: 0.0322, s2.acc: 95.2858, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0432, loss: 1.0090 2022-09-13 17:40:29,641 - mmdet - INFO - Epoch [14][100/7330] lr: 1.000e-04, eta: 2 days, 15:59:38, time: 1.387, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1744, s0.loss_cls: 0.1340, s0.acc: 95.1174, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1873, s1.loss_cls: 0.0639, s1.acc: 95.3264, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0884, s2.loss_cls: 0.0330, s2.acc: 95.0925, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0420, loss: 0.9911 2022-09-13 17:41:37,748 - mmdet - INFO - Epoch [14][150/7330] lr: 1.000e-04, eta: 2 days, 15:58:30, time: 1.362, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0309, loss_semantic_seg: 0.1808, s0.loss_cls: 0.1413, s0.acc: 94.9756, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1912, s1.loss_cls: 0.0676, s1.acc: 95.1519, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0900, s2.loss_cls: 0.0344, s2.acc: 95.0024, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0424, loss: 1.0237 2022-09-13 17:42:45,929 - mmdet - INFO - Epoch [14][200/7330] lr: 1.000e-04, eta: 2 days, 15:57:21, time: 1.364, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1818, s0.loss_cls: 0.1344, s0.acc: 95.1343, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1938, s1.loss_cls: 0.0646, s1.acc: 95.3112, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0913, s2.loss_cls: 0.0332, s2.acc: 95.0493, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0432, loss: 1.0129 2022-09-13 17:43:57,797 - mmdet - INFO - Epoch [14][250/7330] lr: 1.000e-04, eta: 2 days, 15:56:19, time: 1.437, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0300, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1466, s0.acc: 94.6877, s0.loss_bbox: 0.0842, s0.loss_mask: 0.2069, s1.loss_cls: 0.0704, s1.acc: 94.9316, s1.loss_bbox: 0.0933, s1.loss_mask: 0.0982, s2.loss_cls: 0.0353, s2.acc: 94.7757, s2.loss_bbox: 0.0606, s2.loss_mask: 0.0462, loss: 1.0677 2022-09-13 17:45:06,410 - mmdet - INFO - Epoch [14][300/7330] lr: 1.000e-04, eta: 2 days, 15:55:11, time: 1.372, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1341, s0.acc: 95.0547, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1909, s1.loss_cls: 0.0649, s1.acc: 95.1767, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0905, s2.loss_cls: 0.0335, s2.acc: 94.9683, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0429, loss: 0.9970 2022-09-13 17:46:14,579 - mmdet - INFO - Epoch [14][350/7330] lr: 1.000e-04, eta: 2 days, 15:54:02, time: 1.363, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1858, s0.loss_cls: 0.1370, s0.acc: 94.9438, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1959, s1.loss_cls: 0.0658, s1.acc: 95.1186, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0926, s2.loss_cls: 0.0334, s2.acc: 94.9306, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0435, loss: 1.0260 2022-09-13 17:47:22,314 - mmdet - INFO - Epoch [14][400/7330] lr: 1.000e-04, eta: 2 days, 15:52:53, time: 1.355, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1398, s0.acc: 94.8867, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1923, s1.loss_cls: 0.0675, s1.acc: 95.0427, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0906, s2.loss_cls: 0.0349, s2.acc: 94.8106, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0427, loss: 1.0147 2022-09-13 17:48:31,286 - mmdet - INFO - Epoch [14][450/7330] lr: 1.000e-04, eta: 2 days, 15:51:45, time: 1.379, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1397, s0.acc: 94.9773, s0.loss_bbox: 0.0812, s0.loss_mask: 0.1930, s1.loss_cls: 0.0670, s1.acc: 95.1831, s1.loss_bbox: 0.0906, s1.loss_mask: 0.0910, s2.loss_cls: 0.0343, s2.acc: 94.9054, s2.loss_bbox: 0.0597, s2.loss_mask: 0.0430, loss: 1.0271 2022-09-13 17:49:40,033 - mmdet - INFO - Epoch [14][500/7330] lr: 1.000e-04, eta: 2 days, 15:50:38, time: 1.375, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1837, s0.loss_cls: 0.1363, s0.acc: 95.0413, s0.loss_bbox: 0.0793, s0.loss_mask: 0.1917, s1.loss_cls: 0.0647, s1.acc: 95.3249, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0911, s2.loss_cls: 0.0335, s2.acc: 95.0913, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0430, loss: 1.0221 2022-09-13 17:50:48,259 - mmdet - INFO - Epoch [14][550/7330] lr: 1.000e-04, eta: 2 days, 15:49:29, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1392, s0.acc: 94.9485, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1905, s1.loss_cls: 0.0680, s1.acc: 95.0742, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0901, s2.loss_cls: 0.0350, s2.acc: 94.8491, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0425, loss: 1.0073 2022-09-13 17:51:56,866 - mmdet - INFO - Epoch [14][600/7330] lr: 1.000e-04, eta: 2 days, 15:48:21, time: 1.372, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1815, s0.loss_cls: 0.1387, s0.acc: 94.9976, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1941, s1.loss_cls: 0.0668, s1.acc: 95.2355, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0911, s2.loss_cls: 0.0345, s2.acc: 94.9142, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0428, loss: 1.0151 2022-09-13 17:53:05,148 - mmdet - INFO - Epoch [14][650/7330] lr: 1.000e-04, eta: 2 days, 15:47:13, time: 1.366, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0304, loss_semantic_seg: 0.1746, s0.loss_cls: 0.1454, s0.acc: 94.6992, s0.loss_bbox: 0.0837, s0.loss_mask: 0.1988, s1.loss_cls: 0.0704, s1.acc: 94.9718, s1.loss_bbox: 0.0948, s1.loss_mask: 0.0936, s2.loss_cls: 0.0364, s2.acc: 94.6350, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0439, loss: 1.0538 2022-09-13 17:54:13,031 - mmdet - INFO - Epoch [14][700/7330] lr: 1.000e-04, eta: 2 days, 15:46:03, time: 1.358, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1433, s0.acc: 94.8203, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1932, s1.loss_cls: 0.0695, s1.acc: 94.9276, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0909, s2.loss_cls: 0.0353, s2.acc: 94.7985, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0430, loss: 1.0244 2022-09-13 17:55:20,182 - mmdet - INFO - Epoch [14][750/7330] lr: 1.000e-04, eta: 2 days, 15:44:53, time: 1.343, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1371, s0.acc: 95.0513, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1861, s1.loss_cls: 0.0666, s1.acc: 95.1079, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0884, s2.loss_cls: 0.0337, s2.acc: 95.0026, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0420, loss: 0.9934 2022-09-13 17:56:28,508 - mmdet - INFO - Epoch [14][800/7330] lr: 1.000e-04, eta: 2 days, 15:43:44, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1369, s0.acc: 95.0229, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1889, s1.loss_cls: 0.0663, s1.acc: 95.2093, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0889, s2.loss_cls: 0.0340, s2.acc: 94.9886, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0418, loss: 0.9942 2022-09-13 17:57:36,919 - mmdet - INFO - Epoch [14][850/7330] lr: 1.000e-04, eta: 2 days, 15:42:36, time: 1.368, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1820, s0.loss_cls: 0.1372, s0.acc: 95.0051, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1951, s1.loss_cls: 0.0659, s1.acc: 95.2712, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0920, s2.loss_cls: 0.0327, s2.acc: 95.2381, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0437, loss: 1.0142 2022-09-13 17:58:46,738 - mmdet - INFO - Epoch [14][900/7330] lr: 1.000e-04, eta: 2 days, 15:41:30, time: 1.396, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1888, s0.loss_cls: 0.1512, s0.acc: 94.6045, s0.loss_bbox: 0.0810, s0.loss_mask: 0.1958, s1.loss_cls: 0.0722, s1.acc: 94.7704, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0916, s2.loss_cls: 0.0364, s2.acc: 94.6253, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0430, loss: 1.0567 2022-09-13 17:59:56,357 - mmdet - INFO - Epoch [14][950/7330] lr: 1.000e-04, eta: 2 days, 15:40:24, time: 1.392, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1402, s0.acc: 94.9102, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1914, s1.loss_cls: 0.0665, s1.acc: 95.1269, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0899, s2.loss_cls: 0.0339, s2.acc: 94.9857, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0424, loss: 1.0148 2022-09-13 18:01:10,021 - mmdet - INFO - Epoch [14][1000/7330] lr: 1.000e-04, eta: 2 days, 15:39:25, time: 1.472, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1845, s0.loss_cls: 0.1341, s0.acc: 95.1729, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1854, s1.loss_cls: 0.0637, s1.acc: 95.3670, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0876, s2.loss_cls: 0.0331, s2.acc: 95.1758, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0414, loss: 0.9799 2022-09-13 18:02:17,804 - mmdet - INFO - Epoch [14][1050/7330] lr: 1.000e-04, eta: 2 days, 15:38:16, time: 1.357, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1798, s0.loss_cls: 0.1377, s0.acc: 95.0261, s0.loss_bbox: 0.0760, s0.loss_mask: 0.1971, s1.loss_cls: 0.0644, s1.acc: 95.3414, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0932, s2.loss_cls: 0.0332, s2.acc: 95.1639, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0433, loss: 1.0149 2022-09-13 18:03:25,947 - mmdet - INFO - Epoch [14][1100/7330] lr: 1.000e-04, eta: 2 days, 15:37:07, time: 1.363, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1770, s0.loss_cls: 0.1318, s0.acc: 95.1582, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1965, s1.loss_cls: 0.0629, s1.acc: 95.4043, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0927, s2.loss_cls: 0.0325, s2.acc: 95.1431, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0439, loss: 1.0071 2022-09-13 18:04:33,887 - mmdet - INFO - Epoch [14][1150/7330] lr: 1.000e-04, eta: 2 days, 15:35:58, time: 1.359, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1344, s0.acc: 95.1443, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1876, s1.loss_cls: 0.0644, s1.acc: 95.3526, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0881, s2.loss_cls: 0.0324, s2.acc: 95.1906, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0418, loss: 0.9867 2022-09-13 18:05:41,788 - mmdet - INFO - Epoch [14][1200/7330] lr: 1.000e-04, eta: 2 days, 15:34:48, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1389, s0.acc: 94.9451, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1933, s1.loss_cls: 0.0666, s1.acc: 95.1293, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0905, s2.loss_cls: 0.0337, s2.acc: 95.0040, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0428, loss: 1.0170 2022-09-13 18:06:50,094 - mmdet - INFO - Epoch [14][1250/7330] lr: 1.000e-04, eta: 2 days, 15:33:40, time: 1.366, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1326, s0.acc: 95.1677, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1887, s1.loss_cls: 0.0637, s1.acc: 95.3615, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0894, s2.loss_cls: 0.0326, s2.acc: 95.1241, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0422, loss: 0.9851 2022-09-13 18:07:58,998 - mmdet - INFO - Epoch [14][1300/7330] lr: 1.000e-04, eta: 2 days, 15:32:32, time: 1.376, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1342, s0.acc: 95.0793, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1917, s1.loss_cls: 0.0648, s1.acc: 95.2549, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0906, s2.loss_cls: 0.0327, s2.acc: 95.0749, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0430, loss: 0.9963 2022-09-13 18:09:07,501 - mmdet - INFO - Epoch [14][1350/7330] lr: 1.000e-04, eta: 2 days, 15:31:24, time: 1.371, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1792, s0.loss_cls: 0.1372, s0.acc: 95.0049, s0.loss_bbox: 0.0803, s0.loss_mask: 0.1992, s1.loss_cls: 0.0662, s1.acc: 95.2131, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0934, s2.loss_cls: 0.0335, s2.acc: 94.9910, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0441, loss: 1.0272 2022-09-13 18:10:15,840 - mmdet - INFO - Epoch [14][1400/7330] lr: 1.000e-04, eta: 2 days, 15:30:16, time: 1.367, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1743, s0.loss_cls: 0.1390, s0.acc: 94.8735, s0.loss_bbox: 0.0802, s0.loss_mask: 0.1936, s1.loss_cls: 0.0668, s1.acc: 95.0793, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0917, s2.loss_cls: 0.0345, s2.acc: 94.8533, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0433, loss: 1.0186 2022-09-13 18:11:23,771 - mmdet - INFO - Epoch [14][1450/7330] lr: 1.000e-04, eta: 2 days, 15:29:07, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1812, s0.loss_cls: 0.1354, s0.acc: 95.0676, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1949, s1.loss_cls: 0.0648, s1.acc: 95.3203, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0920, s2.loss_cls: 0.0326, s2.acc: 95.1680, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0437, loss: 1.0091 2022-09-13 18:12:32,087 - mmdet - INFO - Epoch [14][1500/7330] lr: 1.000e-04, eta: 2 days, 15:27:58, time: 1.366, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1898, s0.loss_cls: 0.1413, s0.acc: 94.9941, s0.loss_bbox: 0.0788, s0.loss_mask: 0.1926, s1.loss_cls: 0.0659, s1.acc: 95.2863, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0911, s2.loss_cls: 0.0340, s2.acc: 95.1191, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0428, loss: 1.0290 2022-09-13 18:13:40,479 - mmdet - INFO - Epoch [14][1550/7330] lr: 1.000e-04, eta: 2 days, 15:26:50, time: 1.368, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1742, s0.loss_cls: 0.1407, s0.acc: 94.8743, s0.loss_bbox: 0.0786, s0.loss_mask: 0.1985, s1.loss_cls: 0.0689, s1.acc: 94.9767, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0940, s2.loss_cls: 0.0354, s2.acc: 94.7259, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0441, loss: 1.0269 2022-09-13 18:14:48,446 - mmdet - INFO - Epoch [14][1600/7330] lr: 1.000e-04, eta: 2 days, 15:25:41, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1832, s0.loss_cls: 0.1365, s0.acc: 95.0081, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1945, s1.loss_cls: 0.0658, s1.acc: 95.1778, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0915, s2.loss_cls: 0.0334, s2.acc: 95.0147, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0427, loss: 1.0074 2022-09-13 18:15:56,774 - mmdet - INFO - Epoch [14][1650/7330] lr: 1.000e-04, eta: 2 days, 15:24:33, time: 1.367, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1802, s0.loss_cls: 0.1364, s0.acc: 95.0198, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1875, s1.loss_cls: 0.0648, s1.acc: 95.2792, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0882, s2.loss_cls: 0.0332, s2.acc: 94.9743, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0415, loss: 0.9935 2022-09-13 18:17:05,255 - mmdet - INFO - Epoch [14][1700/7330] lr: 1.000e-04, eta: 2 days, 15:23:24, time: 1.370, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1815, s0.loss_cls: 0.1349, s0.acc: 95.0938, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1921, s1.loss_cls: 0.0640, s1.acc: 95.4230, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0913, s2.loss_cls: 0.0330, s2.acc: 95.1170, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0433, loss: 1.0126 2022-09-13 18:18:12,631 - mmdet - INFO - Epoch [14][1750/7330] lr: 1.000e-04, eta: 2 days, 15:22:14, time: 1.348, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1830, s0.loss_cls: 0.1363, s0.acc: 95.1816, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1905, s1.loss_cls: 0.0640, s1.acc: 95.5339, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0899, s2.loss_cls: 0.0331, s2.acc: 95.2307, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0427, loss: 1.0031 2022-09-13 18:19:20,798 - mmdet - INFO - Epoch [14][1800/7330] lr: 1.000e-04, eta: 2 days, 15:21:06, time: 1.363, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1344, s0.acc: 95.1055, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1903, s1.loss_cls: 0.0645, s1.acc: 95.3246, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0902, s2.loss_cls: 0.0331, s2.acc: 95.0538, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0432, loss: 1.0007 2022-09-13 18:20:30,674 - mmdet - INFO - Epoch [14][1850/7330] lr: 1.000e-04, eta: 2 days, 15:20:00, time: 1.398, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1871, s0.loss_cls: 0.1479, s0.acc: 94.7498, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1984, s1.loss_cls: 0.0709, s1.acc: 94.9737, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0937, s2.loss_cls: 0.0360, s2.acc: 94.7586, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0440, loss: 1.0532 2022-09-13 18:21:39,114 - mmdet - INFO - Epoch [14][1900/7330] lr: 1.000e-04, eta: 2 days, 15:18:52, time: 1.369, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1439, s0.acc: 94.7307, s0.loss_bbox: 0.0811, s0.loss_mask: 0.1963, s1.loss_cls: 0.0706, s1.acc: 94.8263, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0925, s2.loss_cls: 0.0363, s2.acc: 94.6135, s2.loss_bbox: 0.0593, s2.loss_mask: 0.0435, loss: 1.0394 2022-09-13 18:22:46,178 - mmdet - INFO - Epoch [14][1950/7330] lr: 1.000e-04, eta: 2 days, 15:17:41, time: 1.341, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1836, s0.loss_cls: 0.1379, s0.acc: 95.1165, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1922, s1.loss_cls: 0.0653, s1.acc: 95.3727, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0910, s2.loss_cls: 0.0331, s2.acc: 95.1822, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0433, loss: 1.0060 2022-09-13 18:23:54,925 - mmdet - INFO - Epoch [14][2000/7330] lr: 1.000e-04, eta: 2 days, 15:16:33, time: 1.375, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1802, s0.loss_cls: 0.1478, s0.acc: 94.6611, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1902, s1.loss_cls: 0.0707, s1.acc: 94.9490, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0898, s2.loss_cls: 0.0359, s2.acc: 94.7383, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0422, loss: 1.0311 2022-09-13 18:25:02,659 - mmdet - INFO - Epoch [14][2050/7330] lr: 1.000e-04, eta: 2 days, 15:15:23, time: 1.348, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1848, s0.loss_cls: 0.1366, s0.acc: 95.0781, s0.loss_bbox: 0.0802, s0.loss_mask: 0.1946, s1.loss_cls: 0.0656, s1.acc: 95.2275, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0917, s2.loss_cls: 0.0339, s2.acc: 94.9822, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0434, loss: 1.0310 2022-09-13 18:26:10,351 - mmdet - INFO - Epoch [14][2100/7330] lr: 1.000e-04, eta: 2 days, 15:14:14, time: 1.361, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1865, s0.loss_cls: 0.1395, s0.acc: 95.0020, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1855, s1.loss_cls: 0.0665, s1.acc: 95.2542, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0871, s2.loss_cls: 0.0336, s2.acc: 95.1007, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0414, loss: 0.9999 2022-09-13 18:27:17,674 - mmdet - INFO - Epoch [14][2150/7330] lr: 1.000e-04, eta: 2 days, 15:13:04, time: 1.346, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1774, s0.loss_cls: 0.1425, s0.acc: 94.8096, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1925, s1.loss_cls: 0.0686, s1.acc: 95.0008, s1.loss_bbox: 0.0914, s1.loss_mask: 0.0910, s2.loss_cls: 0.0351, s2.acc: 94.8119, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0427, loss: 1.0246 2022-09-13 18:28:25,196 - mmdet - INFO - Epoch [14][2200/7330] lr: 1.000e-04, eta: 2 days, 15:11:54, time: 1.351, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1887, s0.loss_cls: 0.1352, s0.acc: 95.2026, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1915, s1.loss_cls: 0.0636, s1.acc: 95.4779, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0904, s2.loss_cls: 0.0326, s2.acc: 95.2435, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0426, loss: 1.0011 2022-09-13 18:29:34,010 - mmdet - INFO - Epoch [14][2250/7330] lr: 1.000e-04, eta: 2 days, 15:10:47, time: 1.376, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1452, s0.acc: 94.7949, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1882, s1.loss_cls: 0.0692, s1.acc: 95.0497, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0881, s2.loss_cls: 0.0355, s2.acc: 94.8281, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0415, loss: 1.0123 2022-09-13 18:30:42,522 - mmdet - INFO - Epoch [14][2300/7330] lr: 1.000e-04, eta: 2 days, 15:09:38, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1815, s0.loss_cls: 0.1453, s0.acc: 94.8259, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1974, s1.loss_cls: 0.0693, s1.acc: 95.0682, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0914, s2.loss_cls: 0.0348, s2.acc: 94.9131, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0428, loss: 1.0320 2022-09-13 18:31:51,764 - mmdet - INFO - Epoch [14][2350/7330] lr: 1.000e-04, eta: 2 days, 15:08:32, time: 1.385, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1782, s0.loss_cls: 0.1433, s0.acc: 94.8503, s0.loss_bbox: 0.0771, s0.loss_mask: 0.1911, s1.loss_cls: 0.0685, s1.acc: 95.1068, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0907, s2.loss_cls: 0.0353, s2.acc: 94.8649, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0430, loss: 1.0229 2022-09-13 18:33:00,297 - mmdet - INFO - Epoch [14][2400/7330] lr: 1.000e-04, eta: 2 days, 15:07:23, time: 1.369, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1488, s0.acc: 94.6501, s0.loss_bbox: 0.0802, s0.loss_mask: 0.2006, s1.loss_cls: 0.0710, s1.acc: 94.9103, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0944, s2.loss_cls: 0.0364, s2.acc: 94.6542, s2.loss_bbox: 0.0600, s2.loss_mask: 0.0443, loss: 1.0567 2022-09-13 18:34:08,158 - mmdet - INFO - Epoch [14][2450/7330] lr: 1.000e-04, eta: 2 days, 15:06:14, time: 1.359, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1836, s0.loss_cls: 0.1440, s0.acc: 94.7720, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1882, s1.loss_cls: 0.0692, s1.acc: 94.8887, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0892, s2.loss_cls: 0.0351, s2.acc: 94.6714, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0423, loss: 1.0235 2022-09-13 18:35:15,993 - mmdet - INFO - Epoch [14][2500/7330] lr: 1.000e-04, eta: 2 days, 15:05:05, time: 1.357, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1414, s0.acc: 94.8948, s0.loss_bbox: 0.0812, s0.loss_mask: 0.1976, s1.loss_cls: 0.0675, s1.acc: 95.0983, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0928, s2.loss_cls: 0.0343, s2.acc: 94.8750, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0441, loss: 1.0351 2022-09-13 18:36:25,027 - mmdet - INFO - Epoch [14][2550/7330] lr: 1.000e-04, eta: 2 days, 15:03:58, time: 1.381, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1420, s0.acc: 94.9077, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1895, s1.loss_cls: 0.0668, s1.acc: 95.1849, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0887, s2.loss_cls: 0.0345, s2.acc: 95.0258, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0419, loss: 1.0104 2022-09-13 18:37:32,927 - mmdet - INFO - Epoch [14][2600/7330] lr: 1.000e-04, eta: 2 days, 15:02:49, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1925, s0.loss_cls: 0.1407, s0.acc: 94.9707, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1900, s1.loss_cls: 0.0671, s1.acc: 95.1807, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0893, s2.loss_cls: 0.0344, s2.acc: 94.8972, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0424, loss: 1.0227 2022-09-13 18:38:40,682 - mmdet - INFO - Epoch [14][2650/7330] lr: 1.000e-04, eta: 2 days, 15:01:39, time: 1.355, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1824, s0.loss_cls: 0.1367, s0.acc: 95.0920, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1906, s1.loss_cls: 0.0651, s1.acc: 95.3013, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0900, s2.loss_cls: 0.0327, s2.acc: 95.1913, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0422, loss: 1.0040 2022-09-13 18:39:49,162 - mmdet - INFO - Epoch [14][2700/7330] lr: 1.000e-04, eta: 2 days, 15:00:31, time: 1.370, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1786, s0.loss_cls: 0.1384, s0.acc: 95.0146, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1977, s1.loss_cls: 0.0661, s1.acc: 95.2495, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0922, s2.loss_cls: 0.0340, s2.acc: 94.9962, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0435, loss: 1.0189 2022-09-13 18:40:58,341 - mmdet - INFO - Epoch [14][2750/7330] lr: 1.000e-04, eta: 2 days, 14:59:24, time: 1.384, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0306, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1498, s0.acc: 94.5879, s0.loss_bbox: 0.0828, s0.loss_mask: 0.1961, s1.loss_cls: 0.0724, s1.acc: 94.7468, s1.loss_bbox: 0.0917, s1.loss_mask: 0.0923, s2.loss_cls: 0.0367, s2.acc: 94.6044, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0436, loss: 1.0574 2022-09-13 18:42:06,031 - mmdet - INFO - Epoch [14][2800/7330] lr: 1.000e-04, eta: 2 days, 14:58:15, time: 1.354, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1782, s0.loss_cls: 0.1413, s0.acc: 94.8726, s0.loss_bbox: 0.0814, s0.loss_mask: 0.1982, s1.loss_cls: 0.0683, s1.acc: 95.0497, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0938, s2.loss_cls: 0.0346, s2.acc: 94.8451, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0440, loss: 1.0358 2022-09-13 18:43:15,231 - mmdet - INFO - Epoch [14][2850/7330] lr: 1.000e-04, eta: 2 days, 14:57:08, time: 1.384, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1824, s0.loss_cls: 0.1399, s0.acc: 94.8909, s0.loss_bbox: 0.0796, s0.loss_mask: 0.1956, s1.loss_cls: 0.0677, s1.acc: 95.0183, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0918, s2.loss_cls: 0.0347, s2.acc: 94.8515, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0434, loss: 1.0267 2022-09-13 18:44:23,244 - mmdet - INFO - Epoch [14][2900/7330] lr: 1.000e-04, eta: 2 days, 14:55:59, time: 1.360, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1400, s0.acc: 94.9968, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1876, s1.loss_cls: 0.0671, s1.acc: 95.1699, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0893, s2.loss_cls: 0.0339, s2.acc: 95.0696, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0423, loss: 0.9940 2022-09-13 18:45:30,731 - mmdet - INFO - Epoch [14][2950/7330] lr: 1.000e-04, eta: 2 days, 14:54:49, time: 1.350, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1690, s0.loss_cls: 0.1407, s0.acc: 94.9668, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1906, s1.loss_cls: 0.0679, s1.acc: 95.1543, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0902, s2.loss_cls: 0.0352, s2.acc: 94.9128, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0427, loss: 1.0007 2022-09-13 18:46:41,087 - mmdet - INFO - Epoch [14][3000/7330] lr: 1.000e-04, eta: 2 days, 14:53:44, time: 1.407, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1433, s0.acc: 94.7585, s0.loss_bbox: 0.0808, s0.loss_mask: 0.1951, s1.loss_cls: 0.0678, s1.acc: 95.0425, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0921, s2.loss_cls: 0.0343, s2.acc: 94.8597, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0437, loss: 1.0343 2022-09-13 18:47:49,732 - mmdet - INFO - Epoch [14][3050/7330] lr: 1.000e-04, eta: 2 days, 14:52:36, time: 1.373, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1447, s0.acc: 94.7520, s0.loss_bbox: 0.0793, s0.loss_mask: 0.1903, s1.loss_cls: 0.0690, s1.acc: 94.9334, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0899, s2.loss_cls: 0.0351, s2.acc: 94.6428, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0426, loss: 1.0198 2022-09-13 18:48:57,567 - mmdet - INFO - Epoch [14][3100/7330] lr: 1.000e-04, eta: 2 days, 14:51:27, time: 1.357, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1854, s0.loss_cls: 0.1410, s0.acc: 94.8315, s0.loss_bbox: 0.0788, s0.loss_mask: 0.1890, s1.loss_cls: 0.0669, s1.acc: 95.0087, s1.loss_bbox: 0.0880, s1.loss_mask: 0.0896, s2.loss_cls: 0.0342, s2.acc: 94.7792, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0423, loss: 1.0143 2022-09-13 18:50:04,924 - mmdet - INFO - Epoch [14][3150/7330] lr: 1.000e-04, eta: 2 days, 14:50:16, time: 1.347, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1798, s0.loss_cls: 0.1316, s0.acc: 95.2197, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1852, s1.loss_cls: 0.0626, s1.acc: 95.4063, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0873, s2.loss_cls: 0.0317, s2.acc: 95.2660, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0413, loss: 0.9742 2022-09-13 18:51:12,384 - mmdet - INFO - Epoch [14][3200/7330] lr: 1.000e-04, eta: 2 days, 14:49:07, time: 1.349, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1919, s0.loss_cls: 0.1396, s0.acc: 94.9324, s0.loss_bbox: 0.0782, s0.loss_mask: 0.1958, s1.loss_cls: 0.0669, s1.acc: 95.1285, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0921, s2.loss_cls: 0.0349, s2.acc: 94.9080, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0436, loss: 1.0357 2022-09-13 18:52:20,282 - mmdet - INFO - Epoch [14][3250/7330] lr: 1.000e-04, eta: 2 days, 14:47:57, time: 1.358, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0296, loss_semantic_seg: 0.1748, s0.loss_cls: 0.1446, s0.acc: 94.8015, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1968, s1.loss_cls: 0.0690, s1.acc: 95.0633, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0929, s2.loss_cls: 0.0349, s2.acc: 94.9481, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0438, loss: 1.0304 2022-09-13 18:53:28,363 - mmdet - INFO - Epoch [14][3300/7330] lr: 1.000e-04, eta: 2 days, 14:46:49, time: 1.362, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1782, s0.loss_cls: 0.1452, s0.acc: 94.7788, s0.loss_bbox: 0.0788, s0.loss_mask: 0.1986, s1.loss_cls: 0.0700, s1.acc: 95.0462, s1.loss_bbox: 0.0895, s1.loss_mask: 0.0935, s2.loss_cls: 0.0359, s2.acc: 94.7845, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0442, loss: 1.0405 2022-09-13 18:54:35,099 - mmdet - INFO - Epoch [14][3350/7330] lr: 1.000e-04, eta: 2 days, 14:45:37, time: 1.335, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1366, s0.acc: 95.0728, s0.loss_bbox: 0.0776, s0.loss_mask: 0.1960, s1.loss_cls: 0.0650, s1.acc: 95.3362, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0925, s2.loss_cls: 0.0334, s2.acc: 95.1095, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0438, loss: 1.0103 2022-09-13 18:55:43,320 - mmdet - INFO - Epoch [14][3400/7330] lr: 1.000e-04, eta: 2 days, 14:44:29, time: 1.364, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1316, s0.acc: 95.2070, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1886, s1.loss_cls: 0.0631, s1.acc: 95.4635, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0885, s2.loss_cls: 0.0326, s2.acc: 95.1323, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0420, loss: 0.9835 2022-09-13 18:56:51,373 - mmdet - INFO - Epoch [14][3450/7330] lr: 1.000e-04, eta: 2 days, 14:43:20, time: 1.359, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1875, s0.loss_cls: 0.1432, s0.acc: 94.8608, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1923, s1.loss_cls: 0.0685, s1.acc: 95.1006, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0907, s2.loss_cls: 0.0348, s2.acc: 94.8052, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0428, loss: 1.0300 2022-09-13 18:57:59,110 - mmdet - INFO - Epoch [14][3500/7330] lr: 1.000e-04, eta: 2 days, 14:42:11, time: 1.356, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1883, s0.loss_cls: 0.1490, s0.acc: 94.7805, s0.loss_bbox: 0.0810, s0.loss_mask: 0.2003, s1.loss_cls: 0.0717, s1.acc: 94.9777, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0934, s2.loss_cls: 0.0364, s2.acc: 94.8147, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0443, loss: 1.0609 2022-09-13 18:59:07,824 - mmdet - INFO - Epoch [14][3550/7330] lr: 1.000e-04, eta: 2 days, 14:41:03, time: 1.374, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1379, s0.acc: 95.0562, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1852, s1.loss_cls: 0.0664, s1.acc: 95.2637, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0871, s2.loss_cls: 0.0338, s2.acc: 95.0517, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0410, loss: 0.9922 2022-09-13 19:00:15,382 - mmdet - INFO - Epoch [14][3600/7330] lr: 1.000e-04, eta: 2 days, 14:39:53, time: 1.351, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1756, s0.loss_cls: 0.1392, s0.acc: 95.0129, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1944, s1.loss_cls: 0.0665, s1.acc: 95.2405, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0923, s2.loss_cls: 0.0338, s2.acc: 95.0622, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0433, loss: 1.0108 2022-09-13 19:01:23,112 - mmdet - INFO - Epoch [14][3650/7330] lr: 1.000e-04, eta: 2 days, 14:38:44, time: 1.355, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1841, s0.loss_cls: 0.1370, s0.acc: 95.0854, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1861, s1.loss_cls: 0.0669, s1.acc: 95.1992, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0873, s2.loss_cls: 0.0343, s2.acc: 94.9866, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0410, loss: 1.0002 2022-09-13 19:02:31,081 - mmdet - INFO - Epoch [14][3700/7330] lr: 1.000e-04, eta: 2 days, 14:37:35, time: 1.359, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1813, s0.loss_cls: 0.1344, s0.acc: 95.1826, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1940, s1.loss_cls: 0.0645, s1.acc: 95.3392, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0918, s2.loss_cls: 0.0336, s2.acc: 95.0738, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0433, loss: 1.0041 2022-09-13 19:03:38,697 - mmdet - INFO - Epoch [14][3750/7330] lr: 1.000e-04, eta: 2 days, 14:36:25, time: 1.352, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1824, s0.loss_cls: 0.1383, s0.acc: 95.0232, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1928, s1.loss_cls: 0.0670, s1.acc: 95.1838, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0912, s2.loss_cls: 0.0346, s2.acc: 94.9323, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0430, loss: 1.0098 2022-09-13 19:04:46,037 - mmdet - INFO - Epoch [14][3800/7330] lr: 1.000e-04, eta: 2 days, 14:35:15, time: 1.347, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1343, s0.acc: 95.0935, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1965, s1.loss_cls: 0.0647, s1.acc: 95.2544, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0928, s2.loss_cls: 0.0332, s2.acc: 95.0072, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0437, loss: 1.0059 2022-09-13 19:05:54,275 - mmdet - INFO - Epoch [14][3850/7330] lr: 1.000e-04, eta: 2 days, 14:34:06, time: 1.363, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1375, s0.acc: 94.9260, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1929, s1.loss_cls: 0.0658, s1.acc: 95.1738, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0909, s2.loss_cls: 0.0337, s2.acc: 94.9521, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0431, loss: 1.0057 2022-09-13 19:07:01,838 - mmdet - INFO - Epoch [14][3900/7330] lr: 1.000e-04, eta: 2 days, 14:32:56, time: 1.351, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1392, s0.acc: 94.9812, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1898, s1.loss_cls: 0.0655, s1.acc: 95.2124, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0893, s2.loss_cls: 0.0340, s2.acc: 95.0075, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0423, loss: 1.0044 2022-09-13 19:08:10,549 - mmdet - INFO - Epoch [14][3950/7330] lr: 1.000e-04, eta: 2 days, 14:31:49, time: 1.374, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1878, s0.loss_cls: 0.1435, s0.acc: 94.8147, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1990, s1.loss_cls: 0.0690, s1.acc: 95.0963, s1.loss_bbox: 0.0909, s1.loss_mask: 0.0938, s2.loss_cls: 0.0357, s2.acc: 94.8393, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0437, loss: 1.0505 2022-09-13 19:09:18,637 - mmdet - INFO - Epoch [14][4000/7330] lr: 1.000e-04, eta: 2 days, 14:30:40, time: 1.361, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1838, s0.loss_cls: 0.1495, s0.acc: 94.5920, s0.loss_bbox: 0.0809, s0.loss_mask: 0.1970, s1.loss_cls: 0.0715, s1.acc: 94.7833, s1.loss_bbox: 0.0898, s1.loss_mask: 0.0927, s2.loss_cls: 0.0365, s2.acc: 94.5472, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0437, loss: 1.0527 2022-09-13 19:10:27,214 - mmdet - INFO - Epoch [14][4050/7330] lr: 1.000e-04, eta: 2 days, 14:29:32, time: 1.372, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1404, s0.acc: 94.9119, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1915, s1.loss_cls: 0.0665, s1.acc: 95.1673, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0901, s2.loss_cls: 0.0340, s2.acc: 94.9138, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0425, loss: 1.0120 2022-09-13 19:11:35,432 - mmdet - INFO - Epoch [14][4100/7330] lr: 1.000e-04, eta: 2 days, 14:28:23, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1438, s0.acc: 94.8621, s0.loss_bbox: 0.0799, s0.loss_mask: 0.1975, s1.loss_cls: 0.0695, s1.acc: 95.0873, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0940, s2.loss_cls: 0.0357, s2.acc: 94.8327, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0443, loss: 1.0426 2022-09-13 19:12:43,922 - mmdet - INFO - Epoch [14][4150/7330] lr: 1.000e-04, eta: 2 days, 14:27:15, time: 1.370, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1410, s0.acc: 95.0161, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1862, s1.loss_cls: 0.0674, s1.acc: 95.1987, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0878, s2.loss_cls: 0.0344, s2.acc: 95.0533, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0418, loss: 0.9959 2022-09-13 19:13:51,661 - mmdet - INFO - Epoch [14][4200/7330] lr: 1.000e-04, eta: 2 days, 14:26:06, time: 1.353, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1859, s0.loss_cls: 0.1330, s0.acc: 95.2302, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1893, s1.loss_cls: 0.0644, s1.acc: 95.4489, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0891, s2.loss_cls: 0.0335, s2.acc: 95.1709, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0419, loss: 0.9969 2022-09-13 19:14:59,365 - mmdet - INFO - Epoch [14][4250/7330] lr: 1.000e-04, eta: 2 days, 14:24:56, time: 1.356, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1333, s0.acc: 95.2412, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1901, s1.loss_cls: 0.0635, s1.acc: 95.4672, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0893, s2.loss_cls: 0.0329, s2.acc: 95.2346, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0422, loss: 0.9764 2022-09-13 19:16:08,694 - mmdet - INFO - Epoch [14][4300/7330] lr: 1.000e-04, eta: 2 days, 14:23:50, time: 1.386, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1791, s0.loss_cls: 0.1356, s0.acc: 95.0457, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1966, s1.loss_cls: 0.0644, s1.acc: 95.2690, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0926, s2.loss_cls: 0.0332, s2.acc: 95.0072, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0433, loss: 1.0147 2022-09-13 19:17:16,688 - mmdet - INFO - Epoch [14][4350/7330] lr: 1.000e-04, eta: 2 days, 14:22:41, time: 1.360, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1852, s0.loss_cls: 0.1485, s0.acc: 94.7041, s0.loss_bbox: 0.0807, s0.loss_mask: 0.2025, s1.loss_cls: 0.0716, s1.acc: 94.8407, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0951, s2.loss_cls: 0.0355, s2.acc: 94.7834, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0449, loss: 1.0610 2022-09-13 19:18:25,923 - mmdet - INFO - Epoch [14][4400/7330] lr: 1.000e-04, eta: 2 days, 14:21:34, time: 1.384, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1898, s0.loss_cls: 0.1507, s0.acc: 94.6169, s0.loss_bbox: 0.0831, s0.loss_mask: 0.2002, s1.loss_cls: 0.0710, s1.acc: 94.9144, s1.loss_bbox: 0.0925, s1.loss_mask: 0.0942, s2.loss_cls: 0.0362, s2.acc: 94.7818, s2.loss_bbox: 0.0592, s2.loss_mask: 0.0444, loss: 1.0719 2022-09-13 19:19:33,678 - mmdet - INFO - Epoch [14][4450/7330] lr: 1.000e-04, eta: 2 days, 14:20:24, time: 1.355, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1866, s0.loss_cls: 0.1349, s0.acc: 95.1772, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1965, s1.loss_cls: 0.0644, s1.acc: 95.4329, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0924, s2.loss_cls: 0.0330, s2.acc: 95.2228, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0433, loss: 1.0130 2022-09-13 19:20:41,648 - mmdet - INFO - Epoch [14][4500/7330] lr: 1.000e-04, eta: 2 days, 14:19:15, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1779, s0.loss_cls: 0.1359, s0.acc: 95.1165, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1901, s1.loss_cls: 0.0655, s1.acc: 95.3922, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0903, s2.loss_cls: 0.0332, s2.acc: 95.1597, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0429, loss: 0.9902 2022-09-13 19:21:51,135 - mmdet - INFO - Epoch [14][4550/7330] lr: 1.000e-04, eta: 2 days, 14:18:09, time: 1.390, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1802, s0.loss_cls: 0.1346, s0.acc: 95.1858, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1975, s1.loss_cls: 0.0642, s1.acc: 95.4481, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0932, s2.loss_cls: 0.0329, s2.acc: 95.1792, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0443, loss: 1.0086 2022-09-13 19:23:00,217 - mmdet - INFO - Epoch [14][4600/7330] lr: 1.000e-04, eta: 2 days, 14:17:02, time: 1.382, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1843, s0.loss_cls: 0.1463, s0.acc: 94.6985, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1984, s1.loss_cls: 0.0705, s1.acc: 94.9449, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0931, s2.loss_cls: 0.0364, s2.acc: 94.5856, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0440, loss: 1.0491 2022-09-13 19:24:07,717 - mmdet - INFO - Epoch [14][4650/7330] lr: 1.000e-04, eta: 2 days, 14:15:52, time: 1.350, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1935, s0.loss_cls: 0.1458, s0.acc: 94.7773, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1916, s1.loss_cls: 0.0706, s1.acc: 94.9562, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0899, s2.loss_cls: 0.0359, s2.acc: 94.8286, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0425, loss: 1.0349 2022-09-13 19:25:15,794 - mmdet - INFO - Epoch [14][4700/7330] lr: 1.000e-04, eta: 2 days, 14:14:43, time: 1.361, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1344, s0.acc: 95.0862, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1928, s1.loss_cls: 0.0654, s1.acc: 95.2291, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0912, s2.loss_cls: 0.0339, s2.acc: 94.9881, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0431, loss: 0.9957 2022-09-13 19:26:24,174 - mmdet - INFO - Epoch [14][4750/7330] lr: 1.000e-04, eta: 2 days, 14:13:35, time: 1.368, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1872, s0.loss_cls: 0.1363, s0.acc: 95.1082, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1875, s1.loss_cls: 0.0671, s1.acc: 95.1709, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0888, s2.loss_cls: 0.0344, s2.acc: 94.9854, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0414, loss: 0.9979 2022-09-13 19:27:33,261 - mmdet - INFO - Epoch [14][4800/7330] lr: 1.000e-04, eta: 2 days, 14:12:27, time: 1.382, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1871, s0.loss_cls: 0.1407, s0.acc: 94.9165, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1943, s1.loss_cls: 0.0668, s1.acc: 95.0925, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0921, s2.loss_cls: 0.0345, s2.acc: 94.8693, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0434, loss: 1.0316 2022-09-13 19:28:42,031 - mmdet - INFO - Epoch [14][4850/7330] lr: 1.000e-04, eta: 2 days, 14:11:20, time: 1.375, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1427, s0.acc: 94.8857, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1928, s1.loss_cls: 0.0693, s1.acc: 95.0691, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0906, s2.loss_cls: 0.0353, s2.acc: 94.8106, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0424, loss: 1.0147 2022-09-13 19:29:49,996 - mmdet - INFO - Epoch [14][4900/7330] lr: 1.000e-04, eta: 2 days, 14:10:11, time: 1.359, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1911, s0.loss_cls: 0.1354, s0.acc: 95.1240, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1950, s1.loss_cls: 0.0668, s1.acc: 95.2390, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0912, s2.loss_cls: 0.0340, s2.acc: 95.0569, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0428, loss: 1.0155 2022-09-13 19:30:58,266 - mmdet - INFO - Epoch [14][4950/7330] lr: 1.000e-04, eta: 2 days, 14:09:02, time: 1.365, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1798, s0.loss_cls: 0.1345, s0.acc: 95.0957, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1930, s1.loss_cls: 0.0639, s1.acc: 95.2849, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0910, s2.loss_cls: 0.0326, s2.acc: 95.0780, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0428, loss: 1.0028 2022-09-13 19:32:06,452 - mmdet - INFO - Epoch [14][5000/7330] lr: 1.000e-04, eta: 2 days, 14:07:54, time: 1.364, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0297, loss_semantic_seg: 0.1747, s0.loss_cls: 0.1427, s0.acc: 94.8411, s0.loss_bbox: 0.0816, s0.loss_mask: 0.1987, s1.loss_cls: 0.0679, s1.acc: 94.9963, s1.loss_bbox: 0.0921, s1.loss_mask: 0.0937, s2.loss_cls: 0.0353, s2.acc: 94.6833, s2.loss_bbox: 0.0596, s2.loss_mask: 0.0443, loss: 1.0424 2022-09-13 19:33:16,623 - mmdet - INFO - Epoch [14][5050/7330] lr: 1.000e-04, eta: 2 days, 14:06:48, time: 1.404, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1841, s0.loss_cls: 0.1425, s0.acc: 94.7563, s0.loss_bbox: 0.0817, s0.loss_mask: 0.2037, s1.loss_cls: 0.0686, s1.acc: 94.9072, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0946, s2.loss_cls: 0.0350, s2.acc: 94.6948, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0446, loss: 1.0523 2022-09-13 19:34:25,074 - mmdet - INFO - Epoch [14][5100/7330] lr: 1.000e-04, eta: 2 days, 14:05:40, time: 1.369, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1861, s0.loss_cls: 0.1459, s0.acc: 94.7278, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1928, s1.loss_cls: 0.0701, s1.acc: 94.8991, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0907, s2.loss_cls: 0.0359, s2.acc: 94.7135, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0426, loss: 1.0420 2022-09-13 19:35:34,265 - mmdet - INFO - Epoch [14][5150/7330] lr: 1.000e-04, eta: 2 days, 14:04:33, time: 1.384, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1808, s0.loss_cls: 0.1416, s0.acc: 94.7959, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1961, s1.loss_cls: 0.0677, s1.acc: 95.0168, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0917, s2.loss_cls: 0.0348, s2.acc: 94.7818, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0429, loss: 1.0331 2022-09-13 19:36:42,341 - mmdet - INFO - Epoch [14][5200/7330] lr: 1.000e-04, eta: 2 days, 14:03:24, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1805, s0.loss_cls: 0.1410, s0.acc: 94.8477, s0.loss_bbox: 0.0806, s0.loss_mask: 0.1999, s1.loss_cls: 0.0673, s1.acc: 95.0698, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0945, s2.loss_cls: 0.0346, s2.acc: 94.8293, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0447, loss: 1.0353 2022-09-13 19:37:50,740 - mmdet - INFO - Epoch [14][5250/7330] lr: 1.000e-04, eta: 2 days, 14:02:16, time: 1.368, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1831, s0.loss_cls: 0.1361, s0.acc: 95.0195, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1965, s1.loss_cls: 0.0658, s1.acc: 95.1770, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0924, s2.loss_cls: 0.0340, s2.acc: 94.8937, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0434, loss: 1.0123 2022-09-13 19:38:59,202 - mmdet - INFO - Epoch [14][5300/7330] lr: 1.000e-04, eta: 2 days, 14:01:08, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1803, s0.loss_cls: 0.1380, s0.acc: 95.0327, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1900, s1.loss_cls: 0.0657, s1.acc: 95.2907, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0896, s2.loss_cls: 0.0335, s2.acc: 95.0299, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0424, loss: 1.0078 2022-09-13 19:40:08,042 - mmdet - INFO - Epoch [14][5350/7330] lr: 1.000e-04, eta: 2 days, 14:00:00, time: 1.377, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1859, s0.loss_cls: 0.1425, s0.acc: 94.8735, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1974, s1.loss_cls: 0.0691, s1.acc: 95.0538, s1.loss_bbox: 0.0900, s1.loss_mask: 0.0927, s2.loss_cls: 0.0350, s2.acc: 94.8468, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0438, loss: 1.0431 2022-09-13 19:41:15,752 - mmdet - INFO - Epoch [14][5400/7330] lr: 1.000e-04, eta: 2 days, 13:58:51, time: 1.354, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1437, s0.acc: 94.9175, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1962, s1.loss_cls: 0.0675, s1.acc: 95.1791, s1.loss_bbox: 0.0880, s1.loss_mask: 0.0923, s2.loss_cls: 0.0345, s2.acc: 95.0348, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0436, loss: 1.0235 2022-09-13 19:42:24,123 - mmdet - INFO - Epoch [14][5450/7330] lr: 1.000e-04, eta: 2 days, 13:57:42, time: 1.367, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1352, s0.acc: 95.1301, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1887, s1.loss_cls: 0.0649, s1.acc: 95.2960, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0887, s2.loss_cls: 0.0328, s2.acc: 95.1507, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0416, loss: 0.9794 2022-09-13 19:43:32,669 - mmdet - INFO - Epoch [14][5500/7330] lr: 1.000e-04, eta: 2 days, 13:56:34, time: 1.371, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1836, s0.loss_cls: 0.1361, s0.acc: 95.0981, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1937, s1.loss_cls: 0.0655, s1.acc: 95.3332, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0914, s2.loss_cls: 0.0335, s2.acc: 95.0515, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0433, loss: 1.0122 2022-09-13 19:44:40,590 - mmdet - INFO - Epoch [14][5550/7330] lr: 1.000e-04, eta: 2 days, 13:55:25, time: 1.358, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1830, s0.loss_cls: 0.1409, s0.acc: 94.9753, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1966, s1.loss_cls: 0.0666, s1.acc: 95.3206, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0918, s2.loss_cls: 0.0341, s2.acc: 95.0978, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0434, loss: 1.0282 2022-09-13 19:45:48,178 - mmdet - INFO - Epoch [14][5600/7330] lr: 1.000e-04, eta: 2 days, 13:54:15, time: 1.352, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1779, s0.loss_cls: 0.1348, s0.acc: 95.0955, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1894, s1.loss_cls: 0.0631, s1.acc: 95.4368, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0894, s2.loss_cls: 0.0327, s2.acc: 95.1689, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0422, loss: 0.9966 2022-09-13 19:46:56,829 - mmdet - INFO - Epoch [14][5650/7330] lr: 1.000e-04, eta: 2 days, 13:53:07, time: 1.373, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1376, s0.acc: 94.9160, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1953, s1.loss_cls: 0.0669, s1.acc: 94.9779, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0908, s2.loss_cls: 0.0341, s2.acc: 94.8830, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0429, loss: 1.0184 2022-09-13 19:48:04,958 - mmdet - INFO - Epoch [14][5700/7330] lr: 1.000e-04, eta: 2 days, 13:51:59, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1759, s0.loss_cls: 0.1285, s0.acc: 95.3777, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1892, s1.loss_cls: 0.0619, s1.acc: 95.4980, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0897, s2.loss_cls: 0.0318, s2.acc: 95.2281, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0423, loss: 0.9749 2022-09-13 19:49:13,495 - mmdet - INFO - Epoch [14][5750/7330] lr: 1.000e-04, eta: 2 days, 13:50:51, time: 1.371, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1317, s0.acc: 95.1943, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1911, s1.loss_cls: 0.0638, s1.acc: 95.3367, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0911, s2.loss_cls: 0.0324, s2.acc: 95.1873, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0429, loss: 0.9852 2022-09-13 19:50:22,275 - mmdet - INFO - Epoch [14][5800/7330] lr: 1.000e-04, eta: 2 days, 13:49:43, time: 1.375, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1929, s0.loss_cls: 0.1445, s0.acc: 94.7961, s0.loss_bbox: 0.0788, s0.loss_mask: 0.1897, s1.loss_cls: 0.0697, s1.acc: 94.9323, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0887, s2.loss_cls: 0.0355, s2.acc: 94.8063, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0417, loss: 1.0308 2022-09-13 19:51:30,488 - mmdet - INFO - Epoch [14][5850/7330] lr: 1.000e-04, eta: 2 days, 13:48:34, time: 1.364, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1422, s0.acc: 94.8613, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1968, s1.loss_cls: 0.0672, s1.acc: 95.0232, s1.loss_bbox: 0.0898, s1.loss_mask: 0.0931, s2.loss_cls: 0.0345, s2.acc: 94.8814, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0440, loss: 1.0250 2022-09-13 19:52:39,705 - mmdet - INFO - Epoch [14][5900/7330] lr: 1.000e-04, eta: 2 days, 13:47:27, time: 1.384, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1823, s0.loss_cls: 0.1419, s0.acc: 94.8733, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1946, s1.loss_cls: 0.0676, s1.acc: 95.0060, s1.loss_bbox: 0.0910, s1.loss_mask: 0.0916, s2.loss_cls: 0.0346, s2.acc: 94.8573, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0430, loss: 1.0327 2022-09-13 19:53:48,276 - mmdet - INFO - Epoch [14][5950/7330] lr: 1.000e-04, eta: 2 days, 13:46:19, time: 1.371, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1363, s0.acc: 95.0293, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1891, s1.loss_cls: 0.0649, s1.acc: 95.2302, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0891, s2.loss_cls: 0.0333, s2.acc: 94.9726, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0420, loss: 0.9902 2022-09-13 19:54:57,027 - mmdet - INFO - Epoch [14][6000/7330] lr: 1.000e-04, eta: 2 days, 13:45:12, time: 1.375, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1829, s0.loss_cls: 0.1409, s0.acc: 94.8757, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1895, s1.loss_cls: 0.0684, s1.acc: 95.0212, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0891, s2.loss_cls: 0.0348, s2.acc: 94.7196, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0420, loss: 1.0113 2022-09-13 19:56:06,672 - mmdet - INFO - Epoch [14][6050/7330] lr: 1.000e-04, eta: 2 days, 13:44:05, time: 1.391, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1787, s0.loss_cls: 0.1500, s0.acc: 94.5547, s0.loss_bbox: 0.0803, s0.loss_mask: 0.1979, s1.loss_cls: 0.0715, s1.acc: 94.8223, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0934, s2.loss_cls: 0.0360, s2.acc: 94.7087, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0443, loss: 1.0522 2022-09-13 19:57:15,572 - mmdet - INFO - Epoch [14][6100/7330] lr: 1.000e-04, eta: 2 days, 13:42:58, time: 1.380, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1438, s0.acc: 94.8276, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1908, s1.loss_cls: 0.0695, s1.acc: 95.0245, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0899, s2.loss_cls: 0.0350, s2.acc: 94.8775, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0423, loss: 1.0193 2022-09-13 19:58:24,052 - mmdet - INFO - Epoch [14][6150/7330] lr: 1.000e-04, eta: 2 days, 13:41:50, time: 1.369, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1857, s0.loss_cls: 0.1399, s0.acc: 94.9526, s0.loss_bbox: 0.0771, s0.loss_mask: 0.1940, s1.loss_cls: 0.0665, s1.acc: 95.2009, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0916, s2.loss_cls: 0.0342, s2.acc: 94.9656, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0430, loss: 1.0224 2022-09-13 19:59:32,205 - mmdet - INFO - Epoch [14][6200/7330] lr: 1.000e-04, eta: 2 days, 13:40:41, time: 1.363, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1898, s0.loss_cls: 0.1470, s0.acc: 94.6404, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1952, s1.loss_cls: 0.0701, s1.acc: 94.8776, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0918, s2.loss_cls: 0.0359, s2.acc: 94.7318, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0434, loss: 1.0434 2022-09-13 20:00:40,663 - mmdet - INFO - Epoch [14][6250/7330] lr: 1.000e-04, eta: 2 days, 13:39:33, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1798, s0.loss_cls: 0.1390, s0.acc: 94.9939, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1912, s1.loss_cls: 0.0662, s1.acc: 95.2355, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0902, s2.loss_cls: 0.0337, s2.acc: 95.0366, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0428, loss: 1.0130 2022-09-13 20:01:49,663 - mmdet - INFO - Epoch [14][6300/7330] lr: 1.000e-04, eta: 2 days, 13:38:25, time: 1.380, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1908, s0.loss_cls: 0.1439, s0.acc: 94.8184, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1970, s1.loss_cls: 0.0689, s1.acc: 95.0384, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0927, s2.loss_cls: 0.0355, s2.acc: 94.8053, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0436, loss: 1.0421 2022-09-13 20:02:57,292 - mmdet - INFO - Epoch [14][6350/7330] lr: 1.000e-04, eta: 2 days, 13:37:16, time: 1.353, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1820, s0.loss_cls: 0.1407, s0.acc: 95.0623, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1922, s1.loss_cls: 0.0686, s1.acc: 95.1624, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0902, s2.loss_cls: 0.0353, s2.acc: 94.8610, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0422, loss: 1.0113 2022-09-13 20:04:05,819 - mmdet - INFO - Epoch [14][6400/7330] lr: 1.000e-04, eta: 2 days, 13:36:08, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1786, s0.loss_cls: 0.1373, s0.acc: 95.0610, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1916, s1.loss_cls: 0.0663, s1.acc: 95.2024, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0908, s2.loss_cls: 0.0343, s2.acc: 94.9397, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0432, loss: 1.0105 2022-09-13 20:05:13,912 - mmdet - INFO - Epoch [14][6450/7330] lr: 1.000e-04, eta: 2 days, 13:34:59, time: 1.362, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1731, s0.loss_cls: 0.1343, s0.acc: 95.1365, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1893, s1.loss_cls: 0.0652, s1.acc: 95.3831, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0884, s2.loss_cls: 0.0333, s2.acc: 95.2086, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0417, loss: 0.9818 2022-09-13 20:06:21,366 - mmdet - INFO - Epoch [14][6500/7330] lr: 1.000e-04, eta: 2 days, 13:33:49, time: 1.349, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1346, s0.acc: 95.2131, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1886, s1.loss_cls: 0.0638, s1.acc: 95.4997, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0882, s2.loss_cls: 0.0320, s2.acc: 95.3152, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0417, loss: 0.9823 2022-09-13 20:07:29,550 - mmdet - INFO - Epoch [14][6550/7330] lr: 1.000e-04, eta: 2 days, 13:32:40, time: 1.363, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1739, s0.loss_cls: 0.1356, s0.acc: 95.0378, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1914, s1.loss_cls: 0.0644, s1.acc: 95.3166, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0900, s2.loss_cls: 0.0331, s2.acc: 95.0596, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0426, loss: 0.9995 2022-09-13 20:08:38,723 - mmdet - INFO - Epoch [14][6600/7330] lr: 1.000e-04, eta: 2 days, 13:31:33, time: 1.384, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1762, s0.loss_cls: 0.1346, s0.acc: 95.0999, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1934, s1.loss_cls: 0.0645, s1.acc: 95.3572, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0912, s2.loss_cls: 0.0326, s2.acc: 95.1433, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0430, loss: 0.9982 2022-09-13 20:09:46,493 - mmdet - INFO - Epoch [14][6650/7330] lr: 1.000e-04, eta: 2 days, 13:30:24, time: 1.355, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1733, s0.loss_cls: 0.1296, s0.acc: 95.3423, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1910, s1.loss_cls: 0.0622, s1.acc: 95.5346, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0899, s2.loss_cls: 0.0311, s2.acc: 95.3805, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0425, loss: 0.9740 2022-09-13 20:10:54,422 - mmdet - INFO - Epoch [14][6700/7330] lr: 1.000e-04, eta: 2 days, 13:29:15, time: 1.359, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1810, s0.loss_cls: 0.1320, s0.acc: 95.2764, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1931, s1.loss_cls: 0.0629, s1.acc: 95.5105, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0902, s2.loss_cls: 0.0321, s2.acc: 95.2689, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0429, loss: 0.9879 2022-09-13 20:12:04,918 - mmdet - INFO - Epoch [14][6750/7330] lr: 1.000e-04, eta: 2 days, 13:28:10, time: 1.408, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1836, s0.loss_cls: 0.1348, s0.acc: 95.0552, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1963, s1.loss_cls: 0.0650, s1.acc: 95.2857, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0920, s2.loss_cls: 0.0331, s2.acc: 95.1040, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0432, loss: 1.0174 2022-09-13 20:13:14,280 - mmdet - INFO - Epoch [14][6800/7330] lr: 1.000e-04, eta: 2 days, 13:27:03, time: 1.389, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1881, s0.loss_cls: 0.1475, s0.acc: 94.6553, s0.loss_bbox: 0.0826, s0.loss_mask: 0.2050, s1.loss_cls: 0.0714, s1.acc: 94.8393, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0967, s2.loss_cls: 0.0369, s2.acc: 94.6000, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0454, loss: 1.0698 2022-09-13 20:14:23,362 - mmdet - INFO - Epoch [14][6850/7330] lr: 1.000e-04, eta: 2 days, 13:25:56, time: 1.381, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1797, s0.loss_cls: 0.1387, s0.acc: 94.9255, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1962, s1.loss_cls: 0.0670, s1.acc: 95.0590, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0918, s2.loss_cls: 0.0341, s2.acc: 94.8628, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0433, loss: 1.0197 2022-09-13 20:15:32,905 - mmdet - INFO - Epoch [14][6900/7330] lr: 1.000e-04, eta: 2 days, 13:24:49, time: 1.391, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1759, s0.loss_cls: 0.1390, s0.acc: 94.9487, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1938, s1.loss_cls: 0.0667, s1.acc: 95.2043, s1.loss_bbox: 0.0889, s1.loss_mask: 0.0901, s2.loss_cls: 0.0345, s2.acc: 94.9863, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0420, loss: 1.0170 2022-09-13 20:16:41,250 - mmdet - INFO - Epoch [14][6950/7330] lr: 1.000e-04, eta: 2 days, 13:23:41, time: 1.367, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1835, s0.loss_cls: 0.1340, s0.acc: 95.1785, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1901, s1.loss_cls: 0.0641, s1.acc: 95.3584, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0899, s2.loss_cls: 0.0324, s2.acc: 95.2124, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0424, loss: 0.9989 2022-09-13 20:17:50,525 - mmdet - INFO - Epoch [14][7000/7330] lr: 1.000e-04, eta: 2 days, 13:22:34, time: 1.385, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1842, s0.loss_cls: 0.1425, s0.acc: 94.8828, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1930, s1.loss_cls: 0.0667, s1.acc: 95.2022, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0924, s2.loss_cls: 0.0350, s2.acc: 94.8433, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0438, loss: 1.0270 2022-09-13 20:18:59,050 - mmdet - INFO - Epoch [14][7050/7330] lr: 1.000e-04, eta: 2 days, 13:21:26, time: 1.371, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1833, s0.loss_cls: 0.1464, s0.acc: 94.6660, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1960, s1.loss_cls: 0.0699, s1.acc: 94.8795, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0933, s2.loss_cls: 0.0355, s2.acc: 94.7084, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0443, loss: 1.0446 2022-09-13 20:20:07,178 - mmdet - INFO - Epoch [14][7100/7330] lr: 1.000e-04, eta: 2 days, 13:20:17, time: 1.363, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1492, s0.acc: 94.6394, s0.loss_bbox: 0.0813, s0.loss_mask: 0.1931, s1.loss_cls: 0.0716, s1.acc: 94.8425, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0912, s2.loss_cls: 0.0368, s2.acc: 94.6067, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0426, loss: 1.0448 2022-09-13 20:21:15,442 - mmdet - INFO - Epoch [14][7150/7330] lr: 1.000e-04, eta: 2 days, 13:19:09, time: 1.365, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1774, s0.loss_cls: 0.1388, s0.acc: 94.9937, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1978, s1.loss_cls: 0.0665, s1.acc: 95.2262, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0920, s2.loss_cls: 0.0341, s2.acc: 94.9215, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0434, loss: 1.0258 2022-09-13 20:22:25,301 - mmdet - INFO - Epoch [14][7200/7330] lr: 1.000e-04, eta: 2 days, 13:18:03, time: 1.397, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1860, s0.loss_cls: 0.1448, s0.acc: 94.7417, s0.loss_bbox: 0.0806, s0.loss_mask: 0.1996, s1.loss_cls: 0.0690, s1.acc: 94.9952, s1.loss_bbox: 0.0913, s1.loss_mask: 0.0926, s2.loss_cls: 0.0351, s2.acc: 94.8284, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0436, loss: 1.0469 2022-09-13 20:23:34,459 - mmdet - INFO - Epoch [14][7250/7330] lr: 1.000e-04, eta: 2 days, 13:16:55, time: 1.383, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1848, s0.loss_cls: 0.1514, s0.acc: 94.5815, s0.loss_bbox: 0.0830, s0.loss_mask: 0.1998, s1.loss_cls: 0.0722, s1.acc: 94.7969, s1.loss_bbox: 0.0928, s1.loss_mask: 0.0942, s2.loss_cls: 0.0367, s2.acc: 94.5859, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0443, loss: 1.0683 2022-09-13 20:24:44,181 - mmdet - INFO - Epoch [14][7300/7330] lr: 1.000e-04, eta: 2 days, 13:15:49, time: 1.395, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1391, s0.acc: 94.9504, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1903, s1.loss_cls: 0.0675, s1.acc: 95.1147, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0896, s2.loss_cls: 0.0350, s2.acc: 94.7797, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0424, loss: 1.0082 2022-09-13 20:25:35,068 - mmdet - INFO - Saving checkpoint at 14 epochs 2022-09-13 20:29:10,972 - mmdet - INFO - Evaluating bbox... 2022-09-13 20:30:13,173 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.559 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.747 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.620 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.427 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.677 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.731 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.731 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.731 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.593 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.766 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.858 2022-09-13 20:30:13,173 - mmdet - INFO - Evaluating segm... 2022-09-13 20:31:28,259 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.488 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.727 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.535 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.311 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.525 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.660 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.492 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.674 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.778 2022-09-13 20:31:29,618 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 20:31:29,620 - mmdet - INFO - Epoch(val) [14][313] bbox_mAP: 0.5590, bbox_mAP_50: 0.7470, bbox_mAP_75: 0.6200, bbox_mAP_s: 0.4270, bbox_mAP_m: 0.5970, bbox_mAP_l: 0.6770, bbox_mAP_copypaste: 0.559 0.747 0.620 0.427 0.597 0.677, segm_mAP: 0.4880, segm_mAP_50: 0.7270, segm_mAP_75: 0.5350, segm_mAP_s: 0.3110, segm_mAP_m: 0.5250, segm_mAP_l: 0.6600, segm_mAP_copypaste: 0.488 0.727 0.535 0.311 0.525 0.660 2022-09-13 20:34:43,485 - mmdet - INFO - Epoch [15][50/7330] lr: 1.000e-04, eta: 2 days, 13:16:12, time: 3.877, data_time: 2.489, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1813, s0.loss_cls: 0.1362, s0.acc: 95.0247, s0.loss_bbox: 0.0776, s0.loss_mask: 0.1908, s1.loss_cls: 0.0666, s1.acc: 95.0936, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0905, s2.loss_cls: 0.0341, s2.acc: 94.8168, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0427, loss: 1.0105 2022-09-13 20:35:53,898 - mmdet - INFO - Epoch [15][100/7330] lr: 1.000e-04, eta: 2 days, 13:15:07, time: 1.408, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1807, s0.loss_cls: 0.1376, s0.acc: 94.9377, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1943, s1.loss_cls: 0.0653, s1.acc: 95.2103, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0912, s2.loss_cls: 0.0334, s2.acc: 94.9891, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0431, loss: 1.0131 2022-09-13 20:37:03,162 - mmdet - INFO - Epoch [15][150/7330] lr: 1.000e-04, eta: 2 days, 13:14:00, time: 1.385, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0292, loss_semantic_seg: 0.1719, s0.loss_cls: 0.1356, s0.acc: 95.0496, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1939, s1.loss_cls: 0.0644, s1.acc: 95.3175, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0916, s2.loss_cls: 0.0326, s2.acc: 95.0912, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0432, loss: 1.0044 2022-09-13 20:38:11,977 - mmdet - INFO - Epoch [15][200/7330] lr: 1.000e-04, eta: 2 days, 13:12:52, time: 1.376, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1824, s0.loss_cls: 0.1379, s0.acc: 95.1140, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1907, s1.loss_cls: 0.0658, s1.acc: 95.3615, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0905, s2.loss_cls: 0.0338, s2.acc: 95.1192, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0428, loss: 1.0096 2022-09-13 20:39:20,379 - mmdet - INFO - Epoch [15][250/7330] lr: 1.000e-04, eta: 2 days, 13:11:44, time: 1.368, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1829, s0.loss_cls: 0.1379, s0.acc: 95.0742, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1919, s1.loss_cls: 0.0664, s1.acc: 95.2427, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0904, s2.loss_cls: 0.0338, s2.acc: 95.0289, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0424, loss: 1.0132 2022-09-13 20:40:28,216 - mmdet - INFO - Epoch [15][300/7330] lr: 1.000e-04, eta: 2 days, 13:10:35, time: 1.357, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1805, s0.loss_cls: 0.1368, s0.acc: 95.0156, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1895, s1.loss_cls: 0.0656, s1.acc: 95.2800, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0895, s2.loss_cls: 0.0335, s2.acc: 95.0753, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0421, loss: 0.9956 2022-09-13 20:41:36,692 - mmdet - INFO - Epoch [15][350/7330] lr: 1.000e-04, eta: 2 days, 13:09:26, time: 1.369, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1884, s0.loss_cls: 0.1379, s0.acc: 94.9949, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1918, s1.loss_cls: 0.0653, s1.acc: 95.2968, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0902, s2.loss_cls: 0.0336, s2.acc: 95.0857, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0428, loss: 1.0171 2022-09-13 20:42:45,110 - mmdet - INFO - Epoch [15][400/7330] lr: 1.000e-04, eta: 2 days, 13:08:18, time: 1.369, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1852, s0.loss_cls: 0.1387, s0.acc: 94.9912, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1920, s1.loss_cls: 0.0658, s1.acc: 95.2635, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0906, s2.loss_cls: 0.0341, s2.acc: 94.9901, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0429, loss: 1.0202 2022-09-13 20:43:53,152 - mmdet - INFO - Epoch [15][450/7330] lr: 1.000e-04, eta: 2 days, 13:07:09, time: 1.360, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1843, s0.loss_cls: 0.1461, s0.acc: 94.7317, s0.loss_bbox: 0.0820, s0.loss_mask: 0.1955, s1.loss_cls: 0.0691, s1.acc: 95.0247, s1.loss_bbox: 0.0918, s1.loss_mask: 0.0922, s2.loss_cls: 0.0350, s2.acc: 94.8461, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0435, loss: 1.0490 2022-09-13 20:45:02,367 - mmdet - INFO - Epoch [15][500/7330] lr: 1.000e-04, eta: 2 days, 13:06:02, time: 1.385, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1752, s0.loss_cls: 0.1363, s0.acc: 94.9927, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1919, s1.loss_cls: 0.0639, s1.acc: 95.3267, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0902, s2.loss_cls: 0.0327, s2.acc: 95.1498, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0425, loss: 1.0028 2022-09-13 20:46:11,527 - mmdet - INFO - Epoch [15][550/7330] lr: 1.000e-04, eta: 2 days, 13:04:54, time: 1.383, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1855, s0.loss_cls: 0.1458, s0.acc: 94.8628, s0.loss_bbox: 0.0789, s0.loss_mask: 0.1941, s1.loss_cls: 0.0685, s1.acc: 95.1614, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0905, s2.loss_cls: 0.0352, s2.acc: 94.8607, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0429, loss: 1.0394 2022-09-13 20:47:19,683 - mmdet - INFO - Epoch [15][600/7330] lr: 1.000e-04, eta: 2 days, 13:03:45, time: 1.361, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1798, s0.loss_cls: 0.1302, s0.acc: 95.2634, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1882, s1.loss_cls: 0.0622, s1.acc: 95.4686, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0892, s2.loss_cls: 0.0325, s2.acc: 95.1176, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0421, loss: 0.9843 2022-09-13 20:48:28,368 - mmdet - INFO - Epoch [15][650/7330] lr: 1.000e-04, eta: 2 days, 13:02:38, time: 1.376, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1274, s0.acc: 95.3674, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1873, s1.loss_cls: 0.0616, s1.acc: 95.5045, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0894, s2.loss_cls: 0.0323, s2.acc: 95.3268, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0421, loss: 0.9553 2022-09-13 20:49:36,917 - mmdet - INFO - Epoch [15][700/7330] lr: 1.000e-04, eta: 2 days, 13:01:29, time: 1.371, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1731, s0.loss_cls: 0.1311, s0.acc: 95.1780, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1916, s1.loss_cls: 0.0628, s1.acc: 95.3864, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0904, s2.loss_cls: 0.0327, s2.acc: 95.2019, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0430, loss: 0.9875 2022-09-13 20:50:46,665 - mmdet - INFO - Epoch [15][750/7330] lr: 1.000e-04, eta: 2 days, 13:00:23, time: 1.395, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1355, s0.acc: 94.9775, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1939, s1.loss_cls: 0.0644, s1.acc: 95.2649, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0917, s2.loss_cls: 0.0328, s2.acc: 95.0738, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0436, loss: 1.0065 2022-09-13 20:51:55,334 - mmdet - INFO - Epoch [15][800/7330] lr: 1.000e-04, eta: 2 days, 12:59:15, time: 1.374, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1775, s0.loss_cls: 0.1417, s0.acc: 94.8171, s0.loss_bbox: 0.0806, s0.loss_mask: 0.1926, s1.loss_cls: 0.0673, s1.acc: 95.1494, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0908, s2.loss_cls: 0.0340, s2.acc: 95.0189, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0426, loss: 1.0231 2022-09-13 20:53:03,491 - mmdet - INFO - Epoch [15][850/7330] lr: 1.000e-04, eta: 2 days, 12:58:06, time: 1.363, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1858, s0.loss_cls: 0.1399, s0.acc: 94.9856, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1976, s1.loss_cls: 0.0668, s1.acc: 95.1862, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0940, s2.loss_cls: 0.0343, s2.acc: 94.9787, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0443, loss: 1.0295 2022-09-13 20:54:12,940 - mmdet - INFO - Epoch [15][900/7330] lr: 1.000e-04, eta: 2 days, 12:56:59, time: 1.389, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1423, s0.acc: 94.8760, s0.loss_bbox: 0.0798, s0.loss_mask: 0.1944, s1.loss_cls: 0.0675, s1.acc: 95.1011, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0915, s2.loss_cls: 0.0345, s2.acc: 94.8998, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0436, loss: 1.0332 2022-09-13 20:55:21,128 - mmdet - INFO - Epoch [15][950/7330] lr: 1.000e-04, eta: 2 days, 12:55:51, time: 1.364, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1330, s0.acc: 95.1506, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1890, s1.loss_cls: 0.0628, s1.acc: 95.4471, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0884, s2.loss_cls: 0.0323, s2.acc: 95.2220, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0413, loss: 0.9773 2022-09-13 20:56:29,192 - mmdet - INFO - Epoch [15][1000/7330] lr: 1.000e-04, eta: 2 days, 12:54:42, time: 1.361, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1808, s0.loss_cls: 0.1377, s0.acc: 94.9673, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1941, s1.loss_cls: 0.0661, s1.acc: 95.1557, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0920, s2.loss_cls: 0.0338, s2.acc: 94.9987, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0435, loss: 1.0147 2022-09-13 20:57:36,614 - mmdet - INFO - Epoch [15][1050/7330] lr: 1.000e-04, eta: 2 days, 12:53:32, time: 1.349, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1314, s0.acc: 95.2251, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1892, s1.loss_cls: 0.0628, s1.acc: 95.4399, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0895, s2.loss_cls: 0.0322, s2.acc: 95.2091, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0423, loss: 0.9767 2022-09-13 20:58:44,273 - mmdet - INFO - Epoch [15][1100/7330] lr: 1.000e-04, eta: 2 days, 12:52:22, time: 1.353, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1756, s0.loss_cls: 0.1285, s0.acc: 95.3713, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1881, s1.loss_cls: 0.0619, s1.acc: 95.6007, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0884, s2.loss_cls: 0.0317, s2.acc: 95.4227, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0410, loss: 0.9620 2022-09-13 20:59:52,281 - mmdet - INFO - Epoch [15][1150/7330] lr: 1.000e-04, eta: 2 days, 12:51:13, time: 1.360, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1840, s0.loss_cls: 0.1413, s0.acc: 94.8645, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1946, s1.loss_cls: 0.0672, s1.acc: 95.1031, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0909, s2.loss_cls: 0.0341, s2.acc: 94.8929, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0429, loss: 1.0239 2022-09-13 21:01:00,916 - mmdet - INFO - Epoch [15][1200/7330] lr: 1.000e-04, eta: 2 days, 12:50:05, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1775, s0.loss_cls: 0.1434, s0.acc: 94.8223, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1940, s1.loss_cls: 0.0699, s1.acc: 94.8712, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0911, s2.loss_cls: 0.0354, s2.acc: 94.6856, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0426, loss: 1.0260 2022-09-13 21:02:08,690 - mmdet - INFO - Epoch [15][1250/7330] lr: 1.000e-04, eta: 2 days, 12:48:55, time: 1.356, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1344, s0.acc: 95.1433, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1939, s1.loss_cls: 0.0643, s1.acc: 95.3419, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0913, s2.loss_cls: 0.0337, s2.acc: 95.0118, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0430, loss: 1.0024 2022-09-13 21:03:17,491 - mmdet - INFO - Epoch [15][1300/7330] lr: 1.000e-04, eta: 2 days, 12:47:48, time: 1.378, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1709, s0.loss_cls: 0.1424, s0.acc: 94.8311, s0.loss_bbox: 0.0788, s0.loss_mask: 0.2029, s1.loss_cls: 0.0677, s1.acc: 95.1099, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0954, s2.loss_cls: 0.0348, s2.acc: 94.8267, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0448, loss: 1.0334 2022-09-13 21:04:25,129 - mmdet - INFO - Epoch [15][1350/7330] lr: 1.000e-04, eta: 2 days, 12:46:38, time: 1.352, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1327, s0.acc: 95.1514, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1897, s1.loss_cls: 0.0638, s1.acc: 95.3418, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0893, s2.loss_cls: 0.0327, s2.acc: 95.1231, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0422, loss: 0.9900 2022-09-13 21:05:33,374 - mmdet - INFO - Epoch [15][1400/7330] lr: 1.000e-04, eta: 2 days, 12:45:29, time: 1.364, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1679, s0.loss_cls: 0.1328, s0.acc: 95.1943, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1936, s1.loss_cls: 0.0640, s1.acc: 95.3877, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0904, s2.loss_cls: 0.0329, s2.acc: 95.1330, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0427, loss: 0.9927 2022-09-13 21:06:41,837 - mmdet - INFO - Epoch [15][1450/7330] lr: 1.000e-04, eta: 2 days, 12:44:21, time: 1.371, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1783, s0.loss_cls: 0.1343, s0.acc: 95.1125, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1913, s1.loss_cls: 0.0645, s1.acc: 95.3420, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0902, s2.loss_cls: 0.0332, s2.acc: 95.0273, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0424, loss: 0.9920 2022-09-13 21:07:49,886 - mmdet - INFO - Epoch [15][1500/7330] lr: 1.000e-04, eta: 2 days, 12:43:12, time: 1.361, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1321, s0.acc: 95.1548, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1874, s1.loss_cls: 0.0637, s1.acc: 95.3627, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0890, s2.loss_cls: 0.0330, s2.acc: 95.1307, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0421, loss: 0.9805 2022-09-13 21:08:58,792 - mmdet - INFO - Epoch [15][1550/7330] lr: 1.000e-04, eta: 2 days, 12:42:05, time: 1.378, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1391, s0.acc: 94.8960, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1925, s1.loss_cls: 0.0665, s1.acc: 95.0846, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0899, s2.loss_cls: 0.0336, s2.acc: 94.9651, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0424, loss: 1.0141 2022-09-13 21:10:05,670 - mmdet - INFO - Epoch [15][1600/7330] lr: 1.000e-04, eta: 2 days, 12:40:54, time: 1.337, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1783, s0.loss_cls: 0.1293, s0.acc: 95.2070, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1926, s1.loss_cls: 0.0622, s1.acc: 95.4162, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0915, s2.loss_cls: 0.0321, s2.acc: 95.1412, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0429, loss: 0.9871 2022-09-13 21:11:13,981 - mmdet - INFO - Epoch [15][1650/7330] lr: 1.000e-04, eta: 2 days, 12:39:45, time: 1.366, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1797, s0.loss_cls: 0.1312, s0.acc: 95.2402, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1865, s1.loss_cls: 0.0611, s1.acc: 95.5540, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0886, s2.loss_cls: 0.0309, s2.acc: 95.4704, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0421, loss: 0.9751 2022-09-13 21:12:22,217 - mmdet - INFO - Epoch [15][1700/7330] lr: 1.000e-04, eta: 2 days, 12:38:37, time: 1.365, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1828, s0.loss_cls: 0.1338, s0.acc: 95.0850, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1871, s1.loss_cls: 0.0637, s1.acc: 95.3810, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0888, s2.loss_cls: 0.0325, s2.acc: 95.1662, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0422, loss: 0.9926 2022-09-13 21:13:29,727 - mmdet - INFO - Epoch [15][1750/7330] lr: 1.000e-04, eta: 2 days, 12:37:27, time: 1.349, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1826, s0.loss_cls: 0.1390, s0.acc: 95.0115, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1938, s1.loss_cls: 0.0663, s1.acc: 95.2819, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0919, s2.loss_cls: 0.0335, s2.acc: 95.0935, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0435, loss: 1.0201 2022-09-13 21:14:38,601 - mmdet - INFO - Epoch [15][1800/7330] lr: 1.000e-04, eta: 2 days, 12:36:19, time: 1.379, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1337, s0.acc: 95.2783, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1887, s1.loss_cls: 0.0622, s1.acc: 95.5788, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0893, s2.loss_cls: 0.0314, s2.acc: 95.4846, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0421, loss: 0.9786 2022-09-13 21:15:46,689 - mmdet - INFO - Epoch [15][1850/7330] lr: 1.000e-04, eta: 2 days, 12:35:10, time: 1.361, data_time: 0.036, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1756, s0.loss_cls: 0.1354, s0.acc: 95.1003, s0.loss_bbox: 0.0764, s0.loss_mask: 0.1908, s1.loss_cls: 0.0652, s1.acc: 95.2449, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0906, s2.loss_cls: 0.0338, s2.acc: 95.0520, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0430, loss: 0.9995 2022-09-13 21:16:54,527 - mmdet - INFO - Epoch [15][1900/7330] lr: 1.000e-04, eta: 2 days, 12:34:01, time: 1.356, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1300, s0.acc: 95.3555, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1871, s1.loss_cls: 0.0617, s1.acc: 95.5887, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0883, s2.loss_cls: 0.0317, s2.acc: 95.3430, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0416, loss: 0.9721 2022-09-13 21:18:02,662 - mmdet - INFO - Epoch [15][1950/7330] lr: 1.000e-04, eta: 2 days, 12:32:52, time: 1.364, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1764, s0.loss_cls: 0.1380, s0.acc: 94.9866, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1935, s1.loss_cls: 0.0661, s1.acc: 95.2225, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0916, s2.loss_cls: 0.0339, s2.acc: 94.9079, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0432, loss: 1.0165 2022-09-13 21:19:10,688 - mmdet - INFO - Epoch [15][2000/7330] lr: 1.000e-04, eta: 2 days, 12:31:43, time: 1.361, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1858, s0.loss_cls: 0.1350, s0.acc: 95.0500, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1933, s1.loss_cls: 0.0649, s1.acc: 95.1909, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0914, s2.loss_cls: 0.0335, s2.acc: 95.0122, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0434, loss: 1.0072 2022-09-13 21:20:19,073 - mmdet - INFO - Epoch [15][2050/7330] lr: 1.000e-04, eta: 2 days, 12:30:34, time: 1.366, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1363, s0.acc: 95.0220, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1877, s1.loss_cls: 0.0651, s1.acc: 95.3003, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0883, s2.loss_cls: 0.0328, s2.acc: 95.1132, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0419, loss: 1.0021 2022-09-13 21:21:26,728 - mmdet - INFO - Epoch [15][2100/7330] lr: 1.000e-04, eta: 2 days, 12:29:25, time: 1.354, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1373, s0.acc: 95.0928, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1916, s1.loss_cls: 0.0656, s1.acc: 95.2922, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0899, s2.loss_cls: 0.0332, s2.acc: 95.0908, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0424, loss: 0.9958 2022-09-13 21:22:34,902 - mmdet - INFO - Epoch [15][2150/7330] lr: 1.000e-04, eta: 2 days, 12:28:16, time: 1.364, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1349, s0.acc: 95.1287, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1930, s1.loss_cls: 0.0653, s1.acc: 95.3370, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0914, s2.loss_cls: 0.0333, s2.acc: 95.0386, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0432, loss: 0.9986 2022-09-13 21:23:44,129 - mmdet - INFO - Epoch [15][2200/7330] lr: 1.000e-04, eta: 2 days, 12:27:09, time: 1.384, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1792, s0.loss_cls: 0.1442, s0.acc: 94.7937, s0.loss_bbox: 0.0804, s0.loss_mask: 0.1992, s1.loss_cls: 0.0687, s1.acc: 95.0731, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0934, s2.loss_cls: 0.0350, s2.acc: 94.9322, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0440, loss: 1.0421 2022-09-13 21:24:53,515 - mmdet - INFO - Epoch [15][2250/7330] lr: 1.000e-04, eta: 2 days, 12:26:02, time: 1.388, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1391, s0.acc: 94.9436, s0.loss_bbox: 0.0802, s0.loss_mask: 0.1943, s1.loss_cls: 0.0648, s1.acc: 95.2677, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0913, s2.loss_cls: 0.0330, s2.acc: 95.1297, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0431, loss: 1.0196 2022-09-13 21:26:02,145 - mmdet - INFO - Epoch [15][2300/7330] lr: 1.000e-04, eta: 2 days, 12:24:54, time: 1.371, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1336, s0.acc: 95.1863, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1875, s1.loss_cls: 0.0647, s1.acc: 95.3453, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0896, s2.loss_cls: 0.0333, s2.acc: 95.0483, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0421, loss: 0.9837 2022-09-13 21:27:09,905 - mmdet - INFO - Epoch [15][2350/7330] lr: 1.000e-04, eta: 2 days, 12:23:45, time: 1.357, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1334, s0.acc: 95.0830, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1853, s1.loss_cls: 0.0646, s1.acc: 95.2867, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0874, s2.loss_cls: 0.0333, s2.acc: 95.0511, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0412, loss: 0.9886 2022-09-13 21:28:17,998 - mmdet - INFO - Epoch [15][2400/7330] lr: 1.000e-04, eta: 2 days, 12:22:36, time: 1.362, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1875, s0.loss_cls: 0.1346, s0.acc: 95.1055, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1923, s1.loss_cls: 0.0654, s1.acc: 95.2667, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0907, s2.loss_cls: 0.0336, s2.acc: 95.0087, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0428, loss: 1.0059 2022-09-13 21:29:25,646 - mmdet - INFO - Epoch [15][2450/7330] lr: 1.000e-04, eta: 2 days, 12:21:26, time: 1.353, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1351, s0.acc: 95.0386, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1929, s1.loss_cls: 0.0642, s1.acc: 95.2720, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0912, s2.loss_cls: 0.0331, s2.acc: 95.0217, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0432, loss: 0.9867 2022-09-13 21:30:34,536 - mmdet - INFO - Epoch [15][2500/7330] lr: 1.000e-04, eta: 2 days, 12:20:18, time: 1.378, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1343, s0.acc: 95.1016, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1836, s1.loss_cls: 0.0645, s1.acc: 95.2235, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0870, s2.loss_cls: 0.0335, s2.acc: 94.9982, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0413, loss: 0.9854 2022-09-13 21:31:44,009 - mmdet - INFO - Epoch [15][2550/7330] lr: 1.000e-04, eta: 2 days, 12:19:12, time: 1.389, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1804, s0.loss_cls: 0.1430, s0.acc: 94.8215, s0.loss_bbox: 0.0796, s0.loss_mask: 0.1950, s1.loss_cls: 0.0683, s1.acc: 95.0825, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0916, s2.loss_cls: 0.0354, s2.acc: 94.7562, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0433, loss: 1.0339 2022-09-13 21:32:52,870 - mmdet - INFO - Epoch [15][2600/7330] lr: 1.000e-04, eta: 2 days, 12:18:04, time: 1.377, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1805, s0.loss_cls: 0.1336, s0.acc: 95.1318, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1918, s1.loss_cls: 0.0638, s1.acc: 95.3329, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0899, s2.loss_cls: 0.0323, s2.acc: 95.1674, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0423, loss: 0.9936 2022-09-13 21:34:00,474 - mmdet - INFO - Epoch [15][2650/7330] lr: 1.000e-04, eta: 2 days, 12:16:54, time: 1.352, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1805, s0.loss_cls: 0.1332, s0.acc: 95.1677, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1977, s1.loss_cls: 0.0642, s1.acc: 95.3463, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0930, s2.loss_cls: 0.0329, s2.acc: 95.1294, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0437, loss: 1.0053 2022-09-13 21:35:09,228 - mmdet - INFO - Epoch [15][2700/7330] lr: 1.000e-04, eta: 2 days, 12:15:46, time: 1.375, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1396, s0.acc: 94.9570, s0.loss_bbox: 0.0779, s0.loss_mask: 0.1934, s1.loss_cls: 0.0660, s1.acc: 95.1933, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0912, s2.loss_cls: 0.0337, s2.acc: 95.0460, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0432, loss: 1.0148 2022-09-13 21:36:17,477 - mmdet - INFO - Epoch [15][2750/7330] lr: 1.000e-04, eta: 2 days, 12:14:38, time: 1.364, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1413, s0.acc: 94.8965, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1940, s1.loss_cls: 0.0679, s1.acc: 95.1180, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0921, s2.loss_cls: 0.0349, s2.acc: 94.8585, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0434, loss: 1.0278 2022-09-13 21:37:24,819 - mmdet - INFO - Epoch [15][2800/7330] lr: 1.000e-04, eta: 2 days, 12:13:28, time: 1.348, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1853, s0.loss_cls: 0.1429, s0.acc: 94.8108, s0.loss_bbox: 0.0799, s0.loss_mask: 0.1908, s1.loss_cls: 0.0690, s1.acc: 94.9111, s1.loss_bbox: 0.0924, s1.loss_mask: 0.0896, s2.loss_cls: 0.0356, s2.acc: 94.6201, s2.loss_bbox: 0.0601, s2.loss_mask: 0.0421, loss: 1.0317 2022-09-13 21:38:33,935 - mmdet - INFO - Epoch [15][2850/7330] lr: 1.000e-04, eta: 2 days, 12:12:20, time: 1.382, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1812, s0.loss_cls: 0.1370, s0.acc: 95.0208, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1863, s1.loss_cls: 0.0644, s1.acc: 95.3064, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0872, s2.loss_cls: 0.0331, s2.acc: 95.0899, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0408, loss: 0.9936 2022-09-13 21:39:42,064 - mmdet - INFO - Epoch [15][2900/7330] lr: 1.000e-04, eta: 2 days, 12:11:12, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1785, s0.loss_cls: 0.1325, s0.acc: 95.2886, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1921, s1.loss_cls: 0.0642, s1.acc: 95.4596, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0915, s2.loss_cls: 0.0327, s2.acc: 95.1996, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0437, loss: 0.9937 2022-09-13 21:40:49,836 - mmdet - INFO - Epoch [15][2950/7330] lr: 1.000e-04, eta: 2 days, 12:10:02, time: 1.355, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1745, s0.loss_cls: 0.1380, s0.acc: 94.8948, s0.loss_bbox: 0.0788, s0.loss_mask: 0.1917, s1.loss_cls: 0.0656, s1.acc: 95.2201, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0901, s2.loss_cls: 0.0331, s2.acc: 95.0733, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0426, loss: 1.0061 2022-09-13 21:41:58,210 - mmdet - INFO - Epoch [15][3000/7330] lr: 1.000e-04, eta: 2 days, 12:08:54, time: 1.367, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1434, s0.acc: 94.7129, s0.loss_bbox: 0.0801, s0.loss_mask: 0.1968, s1.loss_cls: 0.0691, s1.acc: 94.8983, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0928, s2.loss_cls: 0.0353, s2.acc: 94.7766, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0440, loss: 1.0333 2022-09-13 21:43:07,069 - mmdet - INFO - Epoch [15][3050/7330] lr: 1.000e-04, eta: 2 days, 12:07:46, time: 1.377, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0294, loss_semantic_seg: 0.1812, s0.loss_cls: 0.1422, s0.acc: 94.8484, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1921, s1.loss_cls: 0.0679, s1.acc: 95.1013, s1.loss_bbox: 0.0888, s1.loss_mask: 0.0916, s2.loss_cls: 0.0352, s2.acc: 94.7873, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0435, loss: 1.0273 2022-09-13 21:44:14,997 - mmdet - INFO - Epoch [15][3100/7330] lr: 1.000e-04, eta: 2 days, 12:06:37, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1437, s0.acc: 94.7815, s0.loss_bbox: 0.0810, s0.loss_mask: 0.1926, s1.loss_cls: 0.0683, s1.acc: 95.0447, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0910, s2.loss_cls: 0.0354, s2.acc: 94.6777, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0426, loss: 1.0224 2022-09-13 21:45:23,493 - mmdet - INFO - Epoch [15][3150/7330] lr: 1.000e-04, eta: 2 days, 12:05:29, time: 1.370, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1832, s0.loss_cls: 0.1386, s0.acc: 94.9910, s0.loss_bbox: 0.0776, s0.loss_mask: 0.1987, s1.loss_cls: 0.0664, s1.acc: 95.2237, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0928, s2.loss_cls: 0.0340, s2.acc: 95.0121, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0437, loss: 1.0246 2022-09-13 21:46:32,085 - mmdet - INFO - Epoch [15][3200/7330] lr: 1.000e-04, eta: 2 days, 12:04:20, time: 1.372, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1764, s0.loss_cls: 0.1380, s0.acc: 95.0166, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1950, s1.loss_cls: 0.0654, s1.acc: 95.2506, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0919, s2.loss_cls: 0.0332, s2.acc: 95.1120, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0430, loss: 1.0059 2022-09-13 21:47:40,344 - mmdet - INFO - Epoch [15][3250/7330] lr: 1.000e-04, eta: 2 days, 12:03:12, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1756, s0.loss_cls: 0.1371, s0.acc: 94.9639, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1905, s1.loss_cls: 0.0650, s1.acc: 95.1987, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0894, s2.loss_cls: 0.0337, s2.acc: 94.9573, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0422, loss: 0.9984 2022-09-13 21:48:47,206 - mmdet - INFO - Epoch [15][3300/7330] lr: 1.000e-04, eta: 2 days, 12:02:01, time: 1.337, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1794, s0.loss_cls: 0.1380, s0.acc: 94.9919, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1930, s1.loss_cls: 0.0655, s1.acc: 95.2357, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0908, s2.loss_cls: 0.0332, s2.acc: 95.0902, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0430, loss: 1.0085 2022-09-13 21:49:55,275 - mmdet - INFO - Epoch [15][3350/7330] lr: 1.000e-04, eta: 2 days, 12:00:52, time: 1.361, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1826, s0.loss_cls: 0.1351, s0.acc: 95.1394, s0.loss_bbox: 0.0760, s0.loss_mask: 0.1955, s1.loss_cls: 0.0643, s1.acc: 95.4028, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0929, s2.loss_cls: 0.0328, s2.acc: 95.0186, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0440, loss: 1.0125 2022-09-13 21:51:03,814 - mmdet - INFO - Epoch [15][3400/7330] lr: 1.000e-04, eta: 2 days, 11:59:44, time: 1.371, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1832, s0.loss_cls: 0.1434, s0.acc: 94.6992, s0.loss_bbox: 0.0818, s0.loss_mask: 0.1957, s1.loss_cls: 0.0689, s1.acc: 94.8976, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0920, s2.loss_cls: 0.0353, s2.acc: 94.6803, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0437, loss: 1.0411 2022-09-13 21:52:11,186 - mmdet - INFO - Epoch [15][3450/7330] lr: 1.000e-04, eta: 2 days, 11:58:34, time: 1.347, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1769, s0.loss_cls: 0.1396, s0.acc: 94.9575, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1904, s1.loss_cls: 0.0668, s1.acc: 95.1402, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0901, s2.loss_cls: 0.0338, s2.acc: 95.0789, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0425, loss: 1.0054 2022-09-13 21:53:19,352 - mmdet - INFO - Epoch [15][3500/7330] lr: 1.000e-04, eta: 2 days, 11:57:25, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1721, s0.loss_cls: 0.1379, s0.acc: 94.9263, s0.loss_bbox: 0.0788, s0.loss_mask: 0.1975, s1.loss_cls: 0.0663, s1.acc: 95.0609, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0933, s2.loss_cls: 0.0338, s2.acc: 94.9512, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0440, loss: 1.0165 2022-09-13 21:54:27,759 - mmdet - INFO - Epoch [15][3550/7330] lr: 1.000e-04, eta: 2 days, 11:56:17, time: 1.368, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1783, s0.loss_cls: 0.1401, s0.acc: 94.9021, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1907, s1.loss_cls: 0.0678, s1.acc: 95.1236, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0905, s2.loss_cls: 0.0346, s2.acc: 95.0040, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0426, loss: 1.0129 2022-09-13 21:55:36,586 - mmdet - INFO - Epoch [15][3600/7330] lr: 1.000e-04, eta: 2 days, 11:55:09, time: 1.375, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1814, s0.loss_cls: 0.1373, s0.acc: 95.0193, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1945, s1.loss_cls: 0.0662, s1.acc: 95.1573, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0921, s2.loss_cls: 0.0341, s2.acc: 94.9017, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0437, loss: 1.0138 2022-09-13 21:56:45,042 - mmdet - INFO - Epoch [15][3650/7330] lr: 1.000e-04, eta: 2 days, 11:54:01, time: 1.371, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1791, s0.loss_cls: 0.1411, s0.acc: 94.8760, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1952, s1.loss_cls: 0.0674, s1.acc: 95.1106, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0927, s2.loss_cls: 0.0342, s2.acc: 94.9375, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0439, loss: 1.0274 2022-09-13 21:57:53,713 - mmdet - INFO - Epoch [15][3700/7330] lr: 1.000e-04, eta: 2 days, 11:52:53, time: 1.373, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1411, s0.acc: 94.9341, s0.loss_bbox: 0.0788, s0.loss_mask: 0.1918, s1.loss_cls: 0.0681, s1.acc: 95.1465, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0896, s2.loss_cls: 0.0356, s2.acc: 94.8187, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0422, loss: 1.0175 2022-09-13 21:59:02,087 - mmdet - INFO - Epoch [15][3750/7330] lr: 1.000e-04, eta: 2 days, 11:51:44, time: 1.367, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1389, s0.acc: 94.9890, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1877, s1.loss_cls: 0.0655, s1.acc: 95.2607, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0876, s2.loss_cls: 0.0331, s2.acc: 95.0481, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0414, loss: 1.0018 2022-09-13 22:00:10,321 - mmdet - INFO - Epoch [15][3800/7330] lr: 1.000e-04, eta: 2 days, 11:50:35, time: 1.365, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1815, s0.loss_cls: 0.1429, s0.acc: 94.7693, s0.loss_bbox: 0.0793, s0.loss_mask: 0.1962, s1.loss_cls: 0.0681, s1.acc: 94.9790, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0920, s2.loss_cls: 0.0345, s2.acc: 94.8307, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0435, loss: 1.0323 2022-09-13 22:01:18,124 - mmdet - INFO - Epoch [15][3850/7330] lr: 1.000e-04, eta: 2 days, 11:49:26, time: 1.355, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1750, s0.loss_cls: 0.1359, s0.acc: 95.0249, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1931, s1.loss_cls: 0.0638, s1.acc: 95.3390, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0908, s2.loss_cls: 0.0326, s2.acc: 95.1613, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0430, loss: 1.0077 2022-09-13 22:02:26,000 - mmdet - INFO - Epoch [15][3900/7330] lr: 1.000e-04, eta: 2 days, 11:48:17, time: 1.359, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1803, s0.loss_cls: 0.1393, s0.acc: 94.9321, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1934, s1.loss_cls: 0.0669, s1.acc: 95.0912, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0905, s2.loss_cls: 0.0346, s2.acc: 94.8117, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0426, loss: 1.0171 2022-09-13 22:03:35,196 - mmdet - INFO - Epoch [15][3950/7330] lr: 1.000e-04, eta: 2 days, 11:47:10, time: 1.384, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0290, loss_semantic_seg: 0.1835, s0.loss_cls: 0.1413, s0.acc: 94.8965, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1952, s1.loss_cls: 0.0676, s1.acc: 95.0992, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0917, s2.loss_cls: 0.0345, s2.acc: 94.8207, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0432, loss: 1.0308 2022-09-13 22:04:44,299 - mmdet - INFO - Epoch [15][4000/7330] lr: 1.000e-04, eta: 2 days, 11:46:02, time: 1.382, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1408, s0.acc: 94.9285, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1932, s1.loss_cls: 0.0674, s1.acc: 95.0957, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0911, s2.loss_cls: 0.0344, s2.acc: 94.9096, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0432, loss: 1.0178 2022-09-13 22:05:52,016 - mmdet - INFO - Epoch [15][4050/7330] lr: 1.000e-04, eta: 2 days, 11:44:53, time: 1.354, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1807, s0.loss_cls: 0.1360, s0.acc: 95.1519, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1834, s1.loss_cls: 0.0640, s1.acc: 95.3954, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0860, s2.loss_cls: 0.0326, s2.acc: 95.2733, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0405, loss: 0.9814 2022-09-13 22:07:00,250 - mmdet - INFO - Epoch [15][4100/7330] lr: 1.000e-04, eta: 2 days, 11:43:44, time: 1.365, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1441, s0.acc: 94.7554, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1983, s1.loss_cls: 0.0690, s1.acc: 94.9529, s1.loss_bbox: 0.0909, s1.loss_mask: 0.0937, s2.loss_cls: 0.0355, s2.acc: 94.7533, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0446, loss: 1.0409 2022-09-13 22:08:08,773 - mmdet - INFO - Epoch [15][4150/7330] lr: 1.000e-04, eta: 2 days, 11:42:36, time: 1.370, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1350, s0.acc: 95.0483, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1954, s1.loss_cls: 0.0650, s1.acc: 95.2752, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0928, s2.loss_cls: 0.0331, s2.acc: 95.0704, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0439, loss: 1.0021 2022-09-13 22:09:16,249 - mmdet - INFO - Epoch [15][4200/7330] lr: 1.000e-04, eta: 2 days, 11:41:26, time: 1.350, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1294, s0.acc: 95.2874, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1919, s1.loss_cls: 0.0622, s1.acc: 95.4871, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0906, s2.loss_cls: 0.0322, s2.acc: 95.2956, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0424, loss: 0.9827 2022-09-13 22:10:23,491 - mmdet - INFO - Epoch [15][4250/7330] lr: 1.000e-04, eta: 2 days, 11:40:16, time: 1.345, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1311, s0.acc: 95.2610, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1881, s1.loss_cls: 0.0616, s1.acc: 95.5742, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0884, s2.loss_cls: 0.0319, s2.acc: 95.3532, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0419, loss: 0.9813 2022-09-13 22:11:30,556 - mmdet - INFO - Epoch [15][4300/7330] lr: 1.000e-04, eta: 2 days, 11:39:06, time: 1.341, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1845, s0.loss_cls: 0.1395, s0.acc: 95.0164, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1894, s1.loss_cls: 0.0662, s1.acc: 95.2636, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0901, s2.loss_cls: 0.0343, s2.acc: 95.0087, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0427, loss: 1.0113 2022-09-13 22:12:38,639 - mmdet - INFO - Epoch [15][4350/7330] lr: 1.000e-04, eta: 2 days, 11:37:57, time: 1.362, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1361, s0.acc: 95.0818, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1942, s1.loss_cls: 0.0644, s1.acc: 95.3853, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0916, s2.loss_cls: 0.0334, s2.acc: 95.1583, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0431, loss: 1.0102 2022-09-13 22:13:47,505 - mmdet - INFO - Epoch [15][4400/7330] lr: 1.000e-04, eta: 2 days, 11:36:49, time: 1.377, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1731, s0.loss_cls: 0.1379, s0.acc: 94.9978, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1883, s1.loss_cls: 0.0667, s1.acc: 95.2202, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0889, s2.loss_cls: 0.0342, s2.acc: 94.8735, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0417, loss: 0.9955 2022-09-13 22:14:57,363 - mmdet - INFO - Epoch [15][4450/7330] lr: 1.000e-04, eta: 2 days, 11:35:43, time: 1.397, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1732, s0.loss_cls: 0.1314, s0.acc: 95.2161, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1871, s1.loss_cls: 0.0621, s1.acc: 95.4400, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0887, s2.loss_cls: 0.0318, s2.acc: 95.2910, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0422, loss: 0.9711 2022-09-13 22:16:06,281 - mmdet - INFO - Epoch [15][4500/7330] lr: 1.000e-04, eta: 2 days, 11:34:35, time: 1.377, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1355, s0.acc: 95.1689, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1915, s1.loss_cls: 0.0651, s1.acc: 95.3492, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0907, s2.loss_cls: 0.0332, s2.acc: 95.2045, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0428, loss: 0.9807 2022-09-13 22:17:15,528 - mmdet - INFO - Epoch [15][4550/7330] lr: 1.000e-04, eta: 2 days, 11:33:28, time: 1.387, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1791, s0.loss_cls: 0.1358, s0.acc: 95.0759, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1930, s1.loss_cls: 0.0650, s1.acc: 95.3460, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0911, s2.loss_cls: 0.0327, s2.acc: 95.2730, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0431, loss: 1.0044 2022-09-13 22:18:23,663 - mmdet - INFO - Epoch [15][4600/7330] lr: 1.000e-04, eta: 2 days, 11:32:19, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0295, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1405, s0.acc: 94.8962, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1898, s1.loss_cls: 0.0670, s1.acc: 95.1175, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0897, s2.loss_cls: 0.0340, s2.acc: 94.9341, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0428, loss: 1.0062 2022-09-13 22:19:31,315 - mmdet - INFO - Epoch [15][4650/7330] lr: 1.000e-04, eta: 2 days, 11:31:10, time: 1.353, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1280, s0.acc: 95.3235, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1845, s1.loss_cls: 0.0623, s1.acc: 95.4790, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0875, s2.loss_cls: 0.0319, s2.acc: 95.2400, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0409, loss: 0.9585 2022-09-13 22:20:39,541 - mmdet - INFO - Epoch [15][4700/7330] lr: 1.000e-04, eta: 2 days, 11:30:01, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1860, s0.loss_cls: 0.1397, s0.acc: 94.9817, s0.loss_bbox: 0.0786, s0.loss_mask: 0.1919, s1.loss_cls: 0.0669, s1.acc: 95.1932, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0904, s2.loss_cls: 0.0338, s2.acc: 95.0462, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0425, loss: 1.0203 2022-09-13 22:21:47,306 - mmdet - INFO - Epoch [15][4750/7330] lr: 1.000e-04, eta: 2 days, 11:28:52, time: 1.355, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1772, s0.loss_cls: 0.1389, s0.acc: 95.0344, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1899, s1.loss_cls: 0.0670, s1.acc: 95.2127, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0904, s2.loss_cls: 0.0343, s2.acc: 94.9337, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0428, loss: 0.9965 2022-09-13 22:22:57,422 - mmdet - INFO - Epoch [15][4800/7330] lr: 1.000e-04, eta: 2 days, 11:27:46, time: 1.403, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1753, s0.loss_cls: 0.1482, s0.acc: 94.6492, s0.loss_bbox: 0.0811, s0.loss_mask: 0.1977, s1.loss_cls: 0.0713, s1.acc: 94.8064, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0931, s2.loss_cls: 0.0367, s2.acc: 94.6190, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0437, loss: 1.0444 2022-09-13 22:24:06,610 - mmdet - INFO - Epoch [15][4850/7330] lr: 1.000e-04, eta: 2 days, 11:26:38, time: 1.384, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1774, s0.loss_cls: 0.1449, s0.acc: 94.7927, s0.loss_bbox: 0.0820, s0.loss_mask: 0.2003, s1.loss_cls: 0.0685, s1.acc: 95.0043, s1.loss_bbox: 0.0938, s1.loss_mask: 0.0950, s2.loss_cls: 0.0357, s2.acc: 94.7076, s2.loss_bbox: 0.0604, s2.loss_mask: 0.0448, loss: 1.0521 2022-09-13 22:25:15,431 - mmdet - INFO - Epoch [15][4900/7330] lr: 1.000e-04, eta: 2 days, 11:25:31, time: 1.376, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1406, s0.acc: 94.8245, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1945, s1.loss_cls: 0.0666, s1.acc: 95.0795, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0909, s2.loss_cls: 0.0341, s2.acc: 94.9825, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0428, loss: 1.0129 2022-09-13 22:26:23,687 - mmdet - INFO - Epoch [15][4950/7330] lr: 1.000e-04, eta: 2 days, 11:24:22, time: 1.363, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1857, s0.loss_cls: 0.1365, s0.acc: 94.9888, s0.loss_bbox: 0.0789, s0.loss_mask: 0.1965, s1.loss_cls: 0.0650, s1.acc: 95.2289, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0928, s2.loss_cls: 0.0336, s2.acc: 94.9876, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0438, loss: 1.0246 2022-09-13 22:27:31,930 - mmdet - INFO - Epoch [15][5000/7330] lr: 1.000e-04, eta: 2 days, 11:23:13, time: 1.367, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1402, s0.acc: 94.8899, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1932, s1.loss_cls: 0.0675, s1.acc: 95.1484, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0909, s2.loss_cls: 0.0347, s2.acc: 94.8781, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0429, loss: 1.0051 2022-09-13 22:28:40,037 - mmdet - INFO - Epoch [15][5050/7330] lr: 1.000e-04, eta: 2 days, 11:22:04, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1760, s0.loss_cls: 0.1363, s0.acc: 95.0510, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1912, s1.loss_cls: 0.0644, s1.acc: 95.3570, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0904, s2.loss_cls: 0.0330, s2.acc: 95.1110, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0427, loss: 0.9971 2022-09-13 22:29:47,962 - mmdet - INFO - Epoch [15][5100/7330] lr: 1.000e-04, eta: 2 days, 11:20:55, time: 1.358, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1766, s0.loss_cls: 0.1392, s0.acc: 94.8545, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1939, s1.loss_cls: 0.0670, s1.acc: 95.0640, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0912, s2.loss_cls: 0.0342, s2.acc: 94.8215, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0433, loss: 1.0115 2022-09-13 22:30:56,122 - mmdet - INFO - Epoch [15][5150/7330] lr: 1.000e-04, eta: 2 days, 11:19:47, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1408, s0.acc: 94.8713, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1844, s1.loss_cls: 0.0678, s1.acc: 95.0820, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0874, s2.loss_cls: 0.0351, s2.acc: 94.7434, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0415, loss: 0.9986 2022-09-13 22:32:04,356 - mmdet - INFO - Epoch [15][5200/7330] lr: 1.000e-04, eta: 2 days, 11:18:38, time: 1.365, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1335, s0.acc: 95.1875, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1928, s1.loss_cls: 0.0639, s1.acc: 95.4026, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0915, s2.loss_cls: 0.0326, s2.acc: 95.2163, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0432, loss: 0.9926 2022-09-13 22:33:12,754 - mmdet - INFO - Epoch [15][5250/7330] lr: 1.000e-04, eta: 2 days, 11:17:29, time: 1.366, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1419, s0.acc: 94.8958, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1943, s1.loss_cls: 0.0679, s1.acc: 95.0948, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0921, s2.loss_cls: 0.0347, s2.acc: 94.8018, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0433, loss: 1.0241 2022-09-13 22:34:20,803 - mmdet - INFO - Epoch [15][5300/7330] lr: 1.000e-04, eta: 2 days, 11:16:21, time: 1.363, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1846, s0.loss_cls: 0.1355, s0.acc: 95.0637, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1918, s1.loss_cls: 0.0642, s1.acc: 95.3368, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0903, s2.loss_cls: 0.0328, s2.acc: 95.1745, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0427, loss: 1.0006 2022-09-13 22:35:29,428 - mmdet - INFO - Epoch [15][5350/7330] lr: 1.000e-04, eta: 2 days, 11:15:12, time: 1.372, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1864, s0.loss_cls: 0.1384, s0.acc: 95.1345, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1933, s1.loss_cls: 0.0661, s1.acc: 95.3533, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0911, s2.loss_cls: 0.0339, s2.acc: 95.1395, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0426, loss: 1.0100 2022-09-13 22:36:38,384 - mmdet - INFO - Epoch [15][5400/7330] lr: 1.000e-04, eta: 2 days, 11:14:05, time: 1.379, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1853, s0.loss_cls: 0.1359, s0.acc: 95.1118, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1918, s1.loss_cls: 0.0650, s1.acc: 95.2810, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0909, s2.loss_cls: 0.0335, s2.acc: 95.1528, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0428, loss: 1.0045 2022-09-13 22:37:46,339 - mmdet - INFO - Epoch [15][5450/7330] lr: 1.000e-04, eta: 2 days, 11:12:56, time: 1.357, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1785, s0.loss_cls: 0.1326, s0.acc: 95.2275, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1863, s1.loss_cls: 0.0628, s1.acc: 95.4852, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0880, s2.loss_cls: 0.0315, s2.acc: 95.4013, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0415, loss: 0.9803 2022-09-13 22:38:54,703 - mmdet - INFO - Epoch [15][5500/7330] lr: 1.000e-04, eta: 2 days, 11:11:47, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1843, s0.loss_cls: 0.1414, s0.acc: 94.9290, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1957, s1.loss_cls: 0.0673, s1.acc: 95.0662, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0923, s2.loss_cls: 0.0345, s2.acc: 94.9232, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0437, loss: 1.0315 2022-09-13 22:40:02,086 - mmdet - INFO - Epoch [15][5550/7330] lr: 1.000e-04, eta: 2 days, 11:10:37, time: 1.348, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1810, s0.loss_cls: 0.1400, s0.acc: 95.0464, s0.loss_bbox: 0.0779, s0.loss_mask: 0.1946, s1.loss_cls: 0.0667, s1.acc: 95.1809, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0919, s2.loss_cls: 0.0340, s2.acc: 94.9875, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0432, loss: 1.0181 2022-09-13 22:41:10,536 - mmdet - INFO - Epoch [15][5600/7330] lr: 1.000e-04, eta: 2 days, 11:09:29, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1321, s0.acc: 95.2317, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1921, s1.loss_cls: 0.0628, s1.acc: 95.5234, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0907, s2.loss_cls: 0.0324, s2.acc: 95.2456, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0424, loss: 0.9881 2022-09-13 22:42:19,507 - mmdet - INFO - Epoch [15][5650/7330] lr: 1.000e-04, eta: 2 days, 11:08:21, time: 1.378, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1698, s0.loss_cls: 0.1383, s0.acc: 94.9541, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1973, s1.loss_cls: 0.0663, s1.acc: 95.1022, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0936, s2.loss_cls: 0.0345, s2.acc: 94.8597, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0443, loss: 1.0155 2022-09-13 22:43:28,080 - mmdet - INFO - Epoch [15][5700/7330] lr: 1.000e-04, eta: 2 days, 11:07:13, time: 1.373, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1827, s0.loss_cls: 0.1412, s0.acc: 94.8184, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1926, s1.loss_cls: 0.0680, s1.acc: 95.0769, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0910, s2.loss_cls: 0.0352, s2.acc: 94.7264, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0429, loss: 1.0278 2022-09-13 22:44:36,237 - mmdet - INFO - Epoch [15][5750/7330] lr: 1.000e-04, eta: 2 days, 11:06:04, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1393, s0.acc: 94.9795, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1926, s1.loss_cls: 0.0661, s1.acc: 95.2435, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0916, s2.loss_cls: 0.0344, s2.acc: 94.9399, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0432, loss: 1.0158 2022-09-13 22:45:45,138 - mmdet - INFO - Epoch [15][5800/7330] lr: 1.000e-04, eta: 2 days, 11:04:57, time: 1.378, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1790, s0.loss_cls: 0.1383, s0.acc: 94.9875, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1894, s1.loss_cls: 0.0670, s1.acc: 95.1903, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0895, s2.loss_cls: 0.0345, s2.acc: 94.9514, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0424, loss: 1.0059 2022-09-13 22:46:53,812 - mmdet - INFO - Epoch [15][5850/7330] lr: 1.000e-04, eta: 2 days, 11:03:49, time: 1.373, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1866, s0.loss_cls: 0.1451, s0.acc: 94.6641, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1949, s1.loss_cls: 0.0695, s1.acc: 94.9147, s1.loss_bbox: 0.0903, s1.loss_mask: 0.0918, s2.loss_cls: 0.0356, s2.acc: 94.6626, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0429, loss: 1.0454 2022-09-13 22:48:02,185 - mmdet - INFO - Epoch [15][5900/7330] lr: 1.000e-04, eta: 2 days, 11:02:40, time: 1.367, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1803, s0.loss_cls: 0.1357, s0.acc: 95.1177, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1945, s1.loss_cls: 0.0660, s1.acc: 95.2205, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0920, s2.loss_cls: 0.0338, s2.acc: 95.0235, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0428, loss: 1.0049 2022-09-13 22:49:11,030 - mmdet - INFO - Epoch [15][5950/7330] lr: 1.000e-04, eta: 2 days, 11:01:32, time: 1.377, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1837, s0.loss_cls: 0.1417, s0.acc: 94.9246, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1940, s1.loss_cls: 0.0685, s1.acc: 95.0728, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0912, s2.loss_cls: 0.0347, s2.acc: 94.9227, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0426, loss: 1.0267 2022-09-13 22:50:20,975 - mmdet - INFO - Epoch [15][6000/7330] lr: 1.000e-04, eta: 2 days, 11:00:26, time: 1.399, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1906, s0.loss_cls: 0.1430, s0.acc: 94.9138, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1917, s1.loss_cls: 0.0686, s1.acc: 95.1221, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0896, s2.loss_cls: 0.0345, s2.acc: 95.0640, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0423, loss: 1.0277 2022-09-13 22:51:29,733 - mmdet - INFO - Epoch [15][6050/7330] lr: 1.000e-04, eta: 2 days, 10:59:18, time: 1.373, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1840, s0.loss_cls: 0.1448, s0.acc: 94.7781, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1926, s1.loss_cls: 0.0686, s1.acc: 95.0402, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0903, s2.loss_cls: 0.0353, s2.acc: 94.7720, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0425, loss: 1.0342 2022-09-13 22:52:38,376 - mmdet - INFO - Epoch [15][6100/7330] lr: 1.000e-04, eta: 2 days, 10:58:10, time: 1.374, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1767, s0.loss_cls: 0.1348, s0.acc: 95.0977, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1948, s1.loss_cls: 0.0630, s1.acc: 95.4239, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0919, s2.loss_cls: 0.0325, s2.acc: 95.2107, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0434, loss: 1.0005 2022-09-13 22:53:46,556 - mmdet - INFO - Epoch [15][6150/7330] lr: 1.000e-04, eta: 2 days, 10:57:02, time: 1.364, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1763, s0.loss_cls: 0.1343, s0.acc: 95.0601, s0.loss_bbox: 0.0759, s0.loss_mask: 0.1904, s1.loss_cls: 0.0641, s1.acc: 95.2733, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0899, s2.loss_cls: 0.0327, s2.acc: 95.0415, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0425, loss: 0.9975 2022-09-13 22:54:54,414 - mmdet - INFO - Epoch [15][6200/7330] lr: 1.000e-04, eta: 2 days, 10:55:52, time: 1.357, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1831, s0.loss_cls: 0.1331, s0.acc: 95.1724, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1907, s1.loss_cls: 0.0634, s1.acc: 95.3739, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0891, s2.loss_cls: 0.0326, s2.acc: 95.1359, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0419, loss: 0.9886 2022-09-13 22:56:03,907 - mmdet - INFO - Epoch [15][6250/7330] lr: 1.000e-04, eta: 2 days, 10:54:45, time: 1.390, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1748, s0.loss_cls: 0.1369, s0.acc: 94.9773, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1930, s1.loss_cls: 0.0668, s1.acc: 95.1405, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0911, s2.loss_cls: 0.0340, s2.acc: 94.9343, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0426, loss: 1.0120 2022-09-13 22:57:12,278 - mmdet - INFO - Epoch [15][6300/7330] lr: 1.000e-04, eta: 2 days, 10:53:37, time: 1.368, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1762, s0.loss_cls: 0.1436, s0.acc: 94.8931, s0.loss_bbox: 0.0813, s0.loss_mask: 0.1942, s1.loss_cls: 0.0684, s1.acc: 95.0969, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0906, s2.loss_cls: 0.0347, s2.acc: 94.9497, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0423, loss: 1.0212 2022-09-13 22:58:20,420 - mmdet - INFO - Epoch [15][6350/7330] lr: 1.000e-04, eta: 2 days, 10:52:28, time: 1.363, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1816, s0.loss_cls: 0.1410, s0.acc: 94.8501, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1928, s1.loss_cls: 0.0678, s1.acc: 95.0953, s1.loss_bbox: 0.0880, s1.loss_mask: 0.0908, s2.loss_cls: 0.0349, s2.acc: 94.8440, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0429, loss: 1.0248 2022-09-13 22:59:28,170 - mmdet - INFO - Epoch [15][6400/7330] lr: 1.000e-04, eta: 2 days, 10:51:19, time: 1.355, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1358, s0.acc: 95.1401, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1874, s1.loss_cls: 0.0648, s1.acc: 95.3594, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0881, s2.loss_cls: 0.0325, s2.acc: 95.2344, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0414, loss: 0.9828 2022-09-13 23:00:36,530 - mmdet - INFO - Epoch [15][6450/7330] lr: 1.000e-04, eta: 2 days, 10:50:10, time: 1.367, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1763, s0.loss_cls: 0.1355, s0.acc: 95.0471, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1914, s1.loss_cls: 0.0649, s1.acc: 95.2125, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0892, s2.loss_cls: 0.0334, s2.acc: 95.0986, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0419, loss: 0.9925 2022-09-13 23:01:44,662 - mmdet - INFO - Epoch [15][6500/7330] lr: 1.000e-04, eta: 2 days, 10:49:02, time: 1.363, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1341, s0.acc: 95.2034, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1906, s1.loss_cls: 0.0649, s1.acc: 95.3516, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0900, s2.loss_cls: 0.0332, s2.acc: 95.1665, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0424, loss: 0.9875 2022-09-13 23:02:53,548 - mmdet - INFO - Epoch [15][6550/7330] lr: 1.000e-04, eta: 2 days, 10:47:54, time: 1.378, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1772, s0.loss_cls: 0.1308, s0.acc: 95.1887, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1902, s1.loss_cls: 0.0632, s1.acc: 95.3834, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0893, s2.loss_cls: 0.0326, s2.acc: 95.0083, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0423, loss: 0.9832 2022-09-13 23:04:01,107 - mmdet - INFO - Epoch [15][6600/7330] lr: 1.000e-04, eta: 2 days, 10:46:44, time: 1.351, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1355, s0.acc: 95.1575, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1886, s1.loss_cls: 0.0637, s1.acc: 95.3937, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0890, s2.loss_cls: 0.0326, s2.acc: 95.1330, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0415, loss: 0.9826 2022-09-13 23:05:10,958 - mmdet - INFO - Epoch [15][6650/7330] lr: 1.000e-04, eta: 2 days, 10:45:38, time: 1.397, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1367, s0.acc: 94.9773, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1966, s1.loss_cls: 0.0663, s1.acc: 95.0807, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0926, s2.loss_cls: 0.0339, s2.acc: 94.9060, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0439, loss: 1.0160 2022-09-13 23:06:19,165 - mmdet - INFO - Epoch [15][6700/7330] lr: 1.000e-04, eta: 2 days, 10:44:29, time: 1.364, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1774, s0.loss_cls: 0.1519, s0.acc: 94.5898, s0.loss_bbox: 0.0838, s0.loss_mask: 0.1970, s1.loss_cls: 0.0732, s1.acc: 94.7205, s1.loss_bbox: 0.0930, s1.loss_mask: 0.0931, s2.loss_cls: 0.0373, s2.acc: 94.4851, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0437, loss: 1.0587 2022-09-13 23:07:27,484 - mmdet - INFO - Epoch [15][6750/7330] lr: 1.000e-04, eta: 2 days, 10:43:21, time: 1.365, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1329, s0.acc: 95.1636, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1853, s1.loss_cls: 0.0639, s1.acc: 95.3897, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0878, s2.loss_cls: 0.0329, s2.acc: 95.1390, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0415, loss: 0.9797 2022-09-13 23:08:36,806 - mmdet - INFO - Epoch [15][6800/7330] lr: 1.000e-04, eta: 2 days, 10:42:13, time: 1.387, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1417, s0.acc: 94.9460, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1937, s1.loss_cls: 0.0673, s1.acc: 95.1428, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0912, s2.loss_cls: 0.0342, s2.acc: 94.9097, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0433, loss: 1.0169 2022-09-13 23:09:45,782 - mmdet - INFO - Epoch [15][6850/7330] lr: 1.000e-04, eta: 2 days, 10:41:06, time: 1.381, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1776, s0.loss_cls: 0.1350, s0.acc: 95.0396, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1908, s1.loss_cls: 0.0647, s1.acc: 95.2393, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0892, s2.loss_cls: 0.0329, s2.acc: 95.0528, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0420, loss: 1.0002 2022-09-13 23:10:54,664 - mmdet - INFO - Epoch [15][6900/7330] lr: 1.000e-04, eta: 2 days, 10:39:58, time: 1.378, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1374, s0.acc: 94.9924, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1951, s1.loss_cls: 0.0656, s1.acc: 95.2815, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0927, s2.loss_cls: 0.0333, s2.acc: 95.0470, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0437, loss: 1.0047 2022-09-13 23:12:03,708 - mmdet - INFO - Epoch [15][6950/7330] lr: 1.000e-04, eta: 2 days, 10:38:51, time: 1.381, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1337, s0.acc: 95.2087, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1936, s1.loss_cls: 0.0646, s1.acc: 95.4617, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0918, s2.loss_cls: 0.0330, s2.acc: 95.2674, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0437, loss: 0.9864 2022-09-13 23:13:13,865 - mmdet - INFO - Epoch [15][7000/7330] lr: 1.000e-04, eta: 2 days, 10:37:45, time: 1.403, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1318, s0.acc: 95.2095, s0.loss_bbox: 0.0714, s0.loss_mask: 0.1861, s1.loss_cls: 0.0633, s1.acc: 95.4384, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0882, s2.loss_cls: 0.0323, s2.acc: 95.1442, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0417, loss: 0.9784 2022-09-13 23:14:23,484 - mmdet - INFO - Epoch [15][7050/7330] lr: 1.000e-04, eta: 2 days, 10:36:38, time: 1.392, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1332, s0.acc: 95.2700, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1945, s1.loss_cls: 0.0635, s1.acc: 95.4802, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0905, s2.loss_cls: 0.0327, s2.acc: 95.2726, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0426, loss: 0.9883 2022-09-13 23:15:31,816 - mmdet - INFO - Epoch [15][7100/7330] lr: 1.000e-04, eta: 2 days, 10:35:29, time: 1.367, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1307, s0.acc: 95.2019, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1876, s1.loss_cls: 0.0623, s1.acc: 95.3732, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0894, s2.loss_cls: 0.0323, s2.acc: 95.0426, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0426, loss: 0.9766 2022-09-13 23:16:41,698 - mmdet - INFO - Epoch [15][7150/7330] lr: 1.000e-04, eta: 2 days, 10:34:23, time: 1.398, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1813, s0.loss_cls: 0.1427, s0.acc: 94.9565, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1928, s1.loss_cls: 0.0697, s1.acc: 95.0099, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0904, s2.loss_cls: 0.0358, s2.acc: 94.8402, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0429, loss: 1.0211 2022-09-13 23:17:50,539 - mmdet - INFO - Epoch [15][7200/7330] lr: 1.000e-04, eta: 2 days, 10:33:15, time: 1.377, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1319, s0.acc: 95.2080, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1869, s1.loss_cls: 0.0634, s1.acc: 95.3804, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0877, s2.loss_cls: 0.0326, s2.acc: 95.1648, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0409, loss: 0.9723 2022-09-13 23:18:59,381 - mmdet - INFO - Epoch [15][7250/7330] lr: 1.000e-04, eta: 2 days, 10:32:07, time: 1.377, data_time: 0.039, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1788, s0.loss_cls: 0.1406, s0.acc: 94.8994, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1911, s1.loss_cls: 0.0670, s1.acc: 95.1343, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0899, s2.loss_cls: 0.0341, s2.acc: 94.9584, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0422, loss: 1.0093 2022-09-13 23:20:08,824 - mmdet - INFO - Epoch [15][7300/7330] lr: 1.000e-04, eta: 2 days, 10:31:00, time: 1.387, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1787, s0.loss_cls: 0.1342, s0.acc: 95.1775, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1893, s1.loss_cls: 0.0642, s1.acc: 95.3558, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0889, s2.loss_cls: 0.0328, s2.acc: 95.1577, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0419, loss: 0.9842 2022-09-13 23:21:00,445 - mmdet - INFO - Saving checkpoint at 15 epochs 2022-09-13 23:24:46,622 - mmdet - INFO - Evaluating bbox... 2022-09-13 23:25:50,525 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.561 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.749 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.621 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.427 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.602 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.679 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.733 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.733 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.733 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.590 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.773 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.859 2022-09-13 23:25:50,525 - mmdet - INFO - Evaluating segm... 2022-09-13 23:27:05,536 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.487 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.730 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.536 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.306 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.527 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.662 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.479 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.676 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.780 2022-09-13 23:27:06,977 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 23:27:06,979 - mmdet - INFO - Epoch(val) [15][313] bbox_mAP: 0.5610, bbox_mAP_50: 0.7490, bbox_mAP_75: 0.6210, bbox_mAP_s: 0.4270, bbox_mAP_m: 0.6020, bbox_mAP_l: 0.6790, bbox_mAP_copypaste: 0.561 0.749 0.621 0.427 0.602 0.679, segm_mAP: 0.4870, segm_mAP_50: 0.7300, segm_mAP_75: 0.5360, segm_mAP_s: 0.3060, segm_mAP_m: 0.5270, segm_mAP_l: 0.6620, segm_mAP_copypaste: 0.487 0.730 0.536 0.306 0.527 0.662 2022-09-13 23:30:33,251 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 23:30:33,252 - mmdet - INFO - Epoch [16][50/7330] lr: 1.000e-04, eta: 2 days, 10:31:26, time: 4.125, data_time: 2.740, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1759, s0.loss_cls: 0.1335, s0.acc: 95.1504, s0.loss_bbox: 0.0759, s0.loss_mask: 0.1898, s1.loss_cls: 0.0632, s1.acc: 95.4133, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0894, s2.loss_cls: 0.0327, s2.acc: 95.1174, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0420, loss: 0.9922 2022-09-13 23:31:42,521 - mmdet - INFO - Epoch [16][100/7330] lr: 1.000e-04, eta: 2 days, 10:30:19, time: 1.385, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1809, s0.loss_cls: 0.1284, s0.acc: 95.3008, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1850, s1.loss_cls: 0.0612, s1.acc: 95.4884, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0873, s2.loss_cls: 0.0315, s2.acc: 95.2096, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0412, loss: 0.9663 2022-09-13 23:32:50,445 - mmdet - INFO - Epoch [16][150/7330] lr: 1.000e-04, eta: 2 days, 10:29:10, time: 1.359, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1745, s0.loss_cls: 0.1285, s0.acc: 95.3435, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1901, s1.loss_cls: 0.0617, s1.acc: 95.5834, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0899, s2.loss_cls: 0.0318, s2.acc: 95.3743, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0426, loss: 0.9713 2022-09-13 23:33:59,127 - mmdet - INFO - Epoch [16][200/7330] lr: 1.000e-04, eta: 2 days, 10:28:02, time: 1.374, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1744, s0.loss_cls: 0.1322, s0.acc: 95.1536, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1886, s1.loss_cls: 0.0643, s1.acc: 95.3243, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0894, s2.loss_cls: 0.0333, s2.acc: 95.0926, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0426, loss: 0.9760 2022-09-13 23:35:07,578 - mmdet - INFO - Epoch [16][250/7330] lr: 1.000e-04, eta: 2 days, 10:26:53, time: 1.369, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1724, s0.loss_cls: 0.1366, s0.acc: 94.9988, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1968, s1.loss_cls: 0.0645, s1.acc: 95.2813, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0936, s2.loss_cls: 0.0338, s2.acc: 94.9044, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0441, loss: 1.0080 2022-09-13 23:36:15,293 - mmdet - INFO - Epoch [16][300/7330] lr: 1.000e-04, eta: 2 days, 10:25:44, time: 1.354, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1327, s0.acc: 95.1538, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1830, s1.loss_cls: 0.0629, s1.acc: 95.4379, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0859, s2.loss_cls: 0.0322, s2.acc: 95.2727, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0405, loss: 0.9779 2022-09-13 23:37:22,944 - mmdet - INFO - Epoch [16][350/7330] lr: 1.000e-04, eta: 2 days, 10:24:34, time: 1.353, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1837, s0.loss_cls: 0.1378, s0.acc: 94.8818, s0.loss_bbox: 0.0788, s0.loss_mask: 0.1964, s1.loss_cls: 0.0664, s1.acc: 95.0145, s1.loss_bbox: 0.0893, s1.loss_mask: 0.0911, s2.loss_cls: 0.0338, s2.acc: 94.8547, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0429, loss: 1.0262 2022-09-13 23:38:31,263 - mmdet - INFO - Epoch [16][400/7330] lr: 1.000e-04, eta: 2 days, 10:23:25, time: 1.366, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1732, s0.loss_cls: 0.1277, s0.acc: 95.3777, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1863, s1.loss_cls: 0.0604, s1.acc: 95.5905, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0877, s2.loss_cls: 0.0310, s2.acc: 95.4563, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0418, loss: 0.9567 2022-09-13 23:39:39,690 - mmdet - INFO - Epoch [16][450/7330] lr: 1.000e-04, eta: 2 days, 10:22:17, time: 1.369, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1324, s0.acc: 95.2031, s0.loss_bbox: 0.0756, s0.loss_mask: 0.2003, s1.loss_cls: 0.0632, s1.acc: 95.3945, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0945, s2.loss_cls: 0.0320, s2.acc: 95.2276, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0445, loss: 1.0042 2022-09-13 23:40:47,876 - mmdet - INFO - Epoch [16][500/7330] lr: 1.000e-04, eta: 2 days, 10:21:08, time: 1.364, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1740, s0.loss_cls: 0.1343, s0.acc: 95.1177, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1923, s1.loss_cls: 0.0634, s1.acc: 95.4023, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0900, s2.loss_cls: 0.0333, s2.acc: 95.0561, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0423, loss: 0.9951 2022-09-13 23:41:56,112 - mmdet - INFO - Epoch [16][550/7330] lr: 1.000e-04, eta: 2 days, 10:19:59, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1910, s0.loss_cls: 0.1409, s0.acc: 94.9419, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1930, s1.loss_cls: 0.0669, s1.acc: 95.1639, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0912, s2.loss_cls: 0.0345, s2.acc: 94.8686, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0434, loss: 1.0263 2022-09-13 23:43:03,963 - mmdet - INFO - Epoch [16][600/7330] lr: 1.000e-04, eta: 2 days, 10:18:50, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1793, s0.loss_cls: 0.1346, s0.acc: 95.0581, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1908, s1.loss_cls: 0.0647, s1.acc: 95.1959, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0894, s2.loss_cls: 0.0332, s2.acc: 95.0904, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0423, loss: 0.9951 2022-09-13 23:44:12,947 - mmdet - INFO - Epoch [16][650/7330] lr: 1.000e-04, eta: 2 days, 10:17:42, time: 1.380, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1764, s0.loss_cls: 0.1326, s0.acc: 95.1038, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1873, s1.loss_cls: 0.0630, s1.acc: 95.3670, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0891, s2.loss_cls: 0.0327, s2.acc: 95.1055, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0423, loss: 0.9849 2022-09-13 23:45:21,052 - mmdet - INFO - Epoch [16][700/7330] lr: 1.000e-04, eta: 2 days, 10:16:33, time: 1.362, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1343, s0.acc: 94.9585, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1887, s1.loss_cls: 0.0640, s1.acc: 95.1777, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0888, s2.loss_cls: 0.0324, s2.acc: 95.0621, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0418, loss: 0.9798 2022-09-13 23:46:29,186 - mmdet - INFO - Epoch [16][750/7330] lr: 1.000e-04, eta: 2 days, 10:15:24, time: 1.363, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1309, s0.acc: 95.2654, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1849, s1.loss_cls: 0.0616, s1.acc: 95.5706, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0878, s2.loss_cls: 0.0312, s2.acc: 95.3671, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0412, loss: 0.9669 2022-09-13 23:47:36,872 - mmdet - INFO - Epoch [16][800/7330] lr: 1.000e-04, eta: 2 days, 10:14:15, time: 1.352, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1784, s0.loss_cls: 0.1300, s0.acc: 95.2048, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1889, s1.loss_cls: 0.0628, s1.acc: 95.4516, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0895, s2.loss_cls: 0.0322, s2.acc: 95.2048, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0423, loss: 0.9763 2022-09-13 23:48:44,180 - mmdet - INFO - Epoch [16][850/7330] lr: 1.000e-04, eta: 2 days, 10:13:05, time: 1.348, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1808, s0.loss_cls: 0.1344, s0.acc: 95.0999, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1923, s1.loss_cls: 0.0648, s1.acc: 95.3133, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0906, s2.loss_cls: 0.0332, s2.acc: 95.1531, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0428, loss: 1.0043 2022-09-13 23:49:52,023 - mmdet - INFO - Epoch [16][900/7330] lr: 1.000e-04, eta: 2 days, 10:11:56, time: 1.357, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1334, s0.acc: 95.1646, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1900, s1.loss_cls: 0.0625, s1.acc: 95.4817, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0906, s2.loss_cls: 0.0320, s2.acc: 95.2431, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0428, loss: 0.9834 2022-09-13 23:50:59,780 - mmdet - INFO - Epoch [16][950/7330] lr: 1.000e-04, eta: 2 days, 10:10:46, time: 1.355, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1740, s0.loss_cls: 0.1397, s0.acc: 94.8374, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1941, s1.loss_cls: 0.0661, s1.acc: 95.0984, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0907, s2.loss_cls: 0.0339, s2.acc: 94.9126, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0427, loss: 1.0131 2022-09-13 23:52:07,662 - mmdet - INFO - Epoch [16][1000/7330] lr: 1.000e-04, eta: 2 days, 10:09:37, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1733, s0.loss_cls: 0.1306, s0.acc: 95.2256, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1878, s1.loss_cls: 0.0623, s1.acc: 95.3923, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0887, s2.loss_cls: 0.0322, s2.acc: 95.2177, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0421, loss: 0.9702 2022-09-13 23:53:16,102 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-13 23:53:16,104 - mmdet - INFO - Epoch [16][1050/7330] lr: 1.000e-04, eta: 2 days, 10:08:28, time: 1.369, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1317, s0.acc: 95.0718, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1904, s1.loss_cls: 0.0620, s1.acc: 95.2936, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0887, s2.loss_cls: 0.0316, s2.acc: 95.2077, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0415, loss: 0.9815 2022-09-13 23:54:24,473 - mmdet - INFO - Epoch [16][1100/7330] lr: 1.000e-04, eta: 2 days, 10:07:20, time: 1.367, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1285, s0.acc: 95.3311, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1881, s1.loss_cls: 0.0620, s1.acc: 95.4845, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0883, s2.loss_cls: 0.0316, s2.acc: 95.3655, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0415, loss: 0.9662 2022-09-13 23:55:32,280 - mmdet - INFO - Epoch [16][1150/7330] lr: 1.000e-04, eta: 2 days, 10:06:10, time: 1.356, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1772, s0.loss_cls: 0.1377, s0.acc: 94.9575, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1909, s1.loss_cls: 0.0666, s1.acc: 95.1525, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0891, s2.loss_cls: 0.0342, s2.acc: 94.8906, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0418, loss: 1.0012 2022-09-13 23:56:39,435 - mmdet - INFO - Epoch [16][1200/7330] lr: 1.000e-04, eta: 2 days, 10:05:00, time: 1.343, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1713, s0.loss_cls: 0.1316, s0.acc: 95.3035, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1900, s1.loss_cls: 0.0629, s1.acc: 95.5659, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0896, s2.loss_cls: 0.0317, s2.acc: 95.3911, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0422, loss: 0.9746 2022-09-13 23:57:47,787 - mmdet - INFO - Epoch [16][1250/7330] lr: 1.000e-04, eta: 2 days, 10:03:52, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1321, s0.acc: 95.1907, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1887, s1.loss_cls: 0.0642, s1.acc: 95.3506, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0889, s2.loss_cls: 0.0333, s2.acc: 95.0593, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0422, loss: 0.9864 2022-09-13 23:58:55,517 - mmdet - INFO - Epoch [16][1300/7330] lr: 1.000e-04, eta: 2 days, 10:02:42, time: 1.356, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1265, s0.acc: 95.4521, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1868, s1.loss_cls: 0.0601, s1.acc: 95.6553, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0883, s2.loss_cls: 0.0312, s2.acc: 95.4033, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0418, loss: 0.9594 2022-09-14 00:00:09,653 - mmdet - INFO - Epoch [16][1350/7330] lr: 1.000e-04, eta: 2 days, 10:01:42, time: 1.482, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1770, s0.loss_cls: 0.1267, s0.acc: 95.4902, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1869, s1.loss_cls: 0.0617, s1.acc: 95.6024, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0882, s2.loss_cls: 0.0322, s2.acc: 95.2863, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0416, loss: 0.9633 2022-09-14 00:01:18,915 - mmdet - INFO - Epoch [16][1400/7330] lr: 1.000e-04, eta: 2 days, 10:00:34, time: 1.385, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1809, s0.loss_cls: 0.1308, s0.acc: 95.1814, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1938, s1.loss_cls: 0.0627, s1.acc: 95.3621, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0922, s2.loss_cls: 0.0327, s2.acc: 95.0825, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0433, loss: 0.9905 2022-09-14 00:02:27,845 - mmdet - INFO - Epoch [16][1450/7330] lr: 1.000e-04, eta: 2 days, 9:59:26, time: 1.379, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1735, s0.loss_cls: 0.1372, s0.acc: 94.9836, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1912, s1.loss_cls: 0.0661, s1.acc: 95.1879, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0898, s2.loss_cls: 0.0336, s2.acc: 95.0058, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0424, loss: 0.9963 2022-09-14 00:03:36,701 - mmdet - INFO - Epoch [16][1500/7330] lr: 1.000e-04, eta: 2 days, 9:58:18, time: 1.377, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1360, s0.acc: 95.1575, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1853, s1.loss_cls: 0.0648, s1.acc: 95.4743, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0873, s2.loss_cls: 0.0331, s2.acc: 95.3131, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0413, loss: 0.9834 2022-09-14 00:04:45,421 - mmdet - INFO - Epoch [16][1550/7330] lr: 1.000e-04, eta: 2 days, 9:57:10, time: 1.372, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1700, s0.loss_cls: 0.1356, s0.acc: 95.0767, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1931, s1.loss_cls: 0.0655, s1.acc: 95.2769, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0913, s2.loss_cls: 0.0339, s2.acc: 95.0213, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0428, loss: 0.9989 2022-09-14 00:05:53,628 - mmdet - INFO - Epoch [16][1600/7330] lr: 1.000e-04, eta: 2 days, 9:56:02, time: 1.366, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1753, s0.loss_cls: 0.1387, s0.acc: 94.9697, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1964, s1.loss_cls: 0.0655, s1.acc: 95.3190, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0924, s2.loss_cls: 0.0335, s2.acc: 95.0859, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0435, loss: 1.0145 2022-09-14 00:07:03,575 - mmdet - INFO - Epoch [16][1650/7330] lr: 1.000e-04, eta: 2 days, 9:54:55, time: 1.399, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1268, s0.acc: 95.3933, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1891, s1.loss_cls: 0.0602, s1.acc: 95.6280, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0889, s2.loss_cls: 0.0307, s2.acc: 95.4343, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0421, loss: 0.9567 2022-09-14 00:08:12,620 - mmdet - INFO - Epoch [16][1700/7330] lr: 1.000e-04, eta: 2 days, 9:53:47, time: 1.381, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1719, s0.loss_cls: 0.1350, s0.acc: 94.9834, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1867, s1.loss_cls: 0.0631, s1.acc: 95.3366, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0885, s2.loss_cls: 0.0325, s2.acc: 95.1357, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0422, loss: 0.9813 2022-09-14 00:09:21,538 - mmdet - INFO - Epoch [16][1750/7330] lr: 1.000e-04, eta: 2 days, 9:52:40, time: 1.378, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1814, s0.loss_cls: 0.1306, s0.acc: 95.2715, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1888, s1.loss_cls: 0.0621, s1.acc: 95.5486, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0895, s2.loss_cls: 0.0314, s2.acc: 95.4028, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0423, loss: 0.9824 2022-09-14 00:10:31,206 - mmdet - INFO - Epoch [16][1800/7330] lr: 1.000e-04, eta: 2 days, 9:51:33, time: 1.393, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1399, s0.acc: 94.9790, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1911, s1.loss_cls: 0.0666, s1.acc: 95.1857, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0903, s2.loss_cls: 0.0343, s2.acc: 94.8796, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0427, loss: 1.0083 2022-09-14 00:11:41,095 - mmdet - INFO - Epoch [16][1850/7330] lr: 1.000e-04, eta: 2 days, 9:50:26, time: 1.398, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1345, s0.acc: 95.1492, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1892, s1.loss_cls: 0.0640, s1.acc: 95.4076, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0892, s2.loss_cls: 0.0330, s2.acc: 95.1639, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0421, loss: 0.9876 2022-09-14 00:12:49,935 - mmdet - INFO - Epoch [16][1900/7330] lr: 1.000e-04, eta: 2 days, 9:49:18, time: 1.377, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1407, s0.acc: 94.8982, s0.loss_bbox: 0.0779, s0.loss_mask: 0.1961, s1.loss_cls: 0.0668, s1.acc: 95.0989, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0931, s2.loss_cls: 0.0342, s2.acc: 94.9176, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0441, loss: 1.0175 2022-09-14 00:13:58,828 - mmdet - INFO - Epoch [16][1950/7330] lr: 1.000e-04, eta: 2 days, 9:48:10, time: 1.378, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1702, s0.loss_cls: 0.1265, s0.acc: 95.3950, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1841, s1.loss_cls: 0.0601, s1.acc: 95.6718, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0868, s2.loss_cls: 0.0315, s2.acc: 95.2067, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0412, loss: 0.9533 2022-09-14 00:15:07,246 - mmdet - INFO - Epoch [16][2000/7330] lr: 1.000e-04, eta: 2 days, 9:47:02, time: 1.368, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1732, s0.loss_cls: 0.1389, s0.acc: 95.0347, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1899, s1.loss_cls: 0.0658, s1.acc: 95.2702, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0894, s2.loss_cls: 0.0337, s2.acc: 95.0779, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0422, loss: 0.9969 2022-09-14 00:16:15,358 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 00:16:15,366 - mmdet - INFO - Epoch [16][2050/7330] lr: 1.000e-04, eta: 2 days, 9:45:53, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1313, s0.acc: 95.2119, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1945, s1.loss_cls: 0.0629, s1.acc: 95.3635, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0908, s2.loss_cls: 0.0319, s2.acc: 95.1773, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0429, loss: 0.9887 2022-09-14 00:17:24,693 - mmdet - INFO - Epoch [16][2100/7330] lr: 1.000e-04, eta: 2 days, 9:44:46, time: 1.385, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1305, s0.acc: 95.2102, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1835, s1.loss_cls: 0.0622, s1.acc: 95.4288, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0861, s2.loss_cls: 0.0327, s2.acc: 95.1706, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0408, loss: 0.9672 2022-09-14 00:18:33,399 - mmdet - INFO - Epoch [16][2150/7330] lr: 1.000e-04, eta: 2 days, 9:43:38, time: 1.375, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1679, s0.loss_cls: 0.1359, s0.acc: 95.0791, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1858, s1.loss_cls: 0.0647, s1.acc: 95.3282, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0879, s2.loss_cls: 0.0326, s2.acc: 95.1486, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0416, loss: 0.9760 2022-09-14 00:19:42,362 - mmdet - INFO - Epoch [16][2200/7330] lr: 1.000e-04, eta: 2 days, 9:42:30, time: 1.379, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1762, s0.loss_cls: 0.1328, s0.acc: 95.1699, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1916, s1.loss_cls: 0.0641, s1.acc: 95.3730, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0905, s2.loss_cls: 0.0324, s2.acc: 95.1709, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0429, loss: 0.9861 2022-09-14 00:20:50,818 - mmdet - INFO - Epoch [16][2250/7330] lr: 1.000e-04, eta: 2 days, 9:41:21, time: 1.369, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1702, s0.loss_cls: 0.1390, s0.acc: 94.9141, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1910, s1.loss_cls: 0.0665, s1.acc: 95.1184, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0906, s2.loss_cls: 0.0343, s2.acc: 94.8596, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0429, loss: 1.0004 2022-09-14 00:21:59,076 - mmdet - INFO - Epoch [16][2300/7330] lr: 1.000e-04, eta: 2 days, 9:40:13, time: 1.365, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1826, s0.loss_cls: 0.1386, s0.acc: 94.9609, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1945, s1.loss_cls: 0.0667, s1.acc: 95.1847, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0917, s2.loss_cls: 0.0337, s2.acc: 94.9718, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0432, loss: 1.0237 2022-09-14 00:23:07,344 - mmdet - INFO - Epoch [16][2350/7330] lr: 1.000e-04, eta: 2 days, 9:39:04, time: 1.365, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1786, s0.loss_cls: 0.1348, s0.acc: 95.0989, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1926, s1.loss_cls: 0.0640, s1.acc: 95.3123, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0916, s2.loss_cls: 0.0327, s2.acc: 95.0610, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0431, loss: 0.9992 2022-09-14 00:24:15,072 - mmdet - INFO - Epoch [16][2400/7330] lr: 1.000e-04, eta: 2 days, 9:37:54, time: 1.355, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1324, s0.acc: 95.2112, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1886, s1.loss_cls: 0.0628, s1.acc: 95.4553, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0889, s2.loss_cls: 0.0320, s2.acc: 95.1704, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0420, loss: 0.9799 2022-09-14 00:25:21,949 - mmdet - INFO - Epoch [16][2450/7330] lr: 1.000e-04, eta: 2 days, 9:36:44, time: 1.338, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1285, s0.acc: 95.2847, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1878, s1.loss_cls: 0.0627, s1.acc: 95.3918, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0887, s2.loss_cls: 0.0319, s2.acc: 95.1459, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0423, loss: 0.9659 2022-09-14 00:26:31,184 - mmdet - INFO - Epoch [16][2500/7330] lr: 1.000e-04, eta: 2 days, 9:35:36, time: 1.384, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1351, s0.acc: 95.0288, s0.loss_bbox: 0.0771, s0.loss_mask: 0.1974, s1.loss_cls: 0.0643, s1.acc: 95.2990, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0932, s2.loss_cls: 0.0331, s2.acc: 95.0896, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0440, loss: 1.0145 2022-09-14 00:27:40,301 - mmdet - INFO - Epoch [16][2550/7330] lr: 1.000e-04, eta: 2 days, 9:34:29, time: 1.382, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1395, s0.acc: 94.9304, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1929, s1.loss_cls: 0.0659, s1.acc: 95.2538, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0912, s2.loss_cls: 0.0339, s2.acc: 95.0317, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0428, loss: 1.0012 2022-09-14 00:28:48,531 - mmdet - INFO - Epoch [16][2600/7330] lr: 1.000e-04, eta: 2 days, 9:33:20, time: 1.365, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1772, s0.loss_cls: 0.1393, s0.acc: 95.0134, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1884, s1.loss_cls: 0.0666, s1.acc: 95.3007, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0886, s2.loss_cls: 0.0338, s2.acc: 95.0997, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0418, loss: 0.9990 2022-09-14 00:29:55,789 - mmdet - INFO - Epoch [16][2650/7330] lr: 1.000e-04, eta: 2 days, 9:32:10, time: 1.345, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1805, s0.loss_cls: 0.1324, s0.acc: 95.1643, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1887, s1.loss_cls: 0.0636, s1.acc: 95.4032, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0884, s2.loss_cls: 0.0326, s2.acc: 95.2038, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0419, loss: 0.9845 2022-09-14 00:31:04,716 - mmdet - INFO - Epoch [16][2700/7330] lr: 1.000e-04, eta: 2 days, 9:31:02, time: 1.379, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1360, s0.acc: 95.0244, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1942, s1.loss_cls: 0.0649, s1.acc: 95.2875, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0907, s2.loss_cls: 0.0334, s2.acc: 95.0336, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0429, loss: 0.9988 2022-09-14 00:32:12,846 - mmdet - INFO - Epoch [16][2750/7330] lr: 1.000e-04, eta: 2 days, 9:29:53, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1790, s0.loss_cls: 0.1355, s0.acc: 95.1477, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1908, s1.loss_cls: 0.0642, s1.acc: 95.3035, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0904, s2.loss_cls: 0.0331, s2.acc: 95.0795, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0423, loss: 0.9954 2022-09-14 00:33:19,996 - mmdet - INFO - Epoch [16][2800/7330] lr: 1.000e-04, eta: 2 days, 9:28:43, time: 1.343, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1262, s0.acc: 95.4219, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1870, s1.loss_cls: 0.0600, s1.acc: 95.6994, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0885, s2.loss_cls: 0.0308, s2.acc: 95.4109, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0420, loss: 0.9605 2022-09-14 00:34:28,738 - mmdet - INFO - Epoch [16][2850/7330] lr: 1.000e-04, eta: 2 days, 9:27:35, time: 1.373, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1403, s0.acc: 94.8735, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1882, s1.loss_cls: 0.0666, s1.acc: 95.1375, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0893, s2.loss_cls: 0.0348, s2.acc: 94.7762, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0419, loss: 1.0033 2022-09-14 00:35:36,397 - mmdet - INFO - Epoch [16][2900/7330] lr: 1.000e-04, eta: 2 days, 9:26:25, time: 1.354, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1733, s0.loss_cls: 0.1307, s0.acc: 95.2908, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1849, s1.loss_cls: 0.0625, s1.acc: 95.5142, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0878, s2.loss_cls: 0.0325, s2.acc: 95.1994, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0416, loss: 0.9567 2022-09-14 00:36:44,799 - mmdet - INFO - Epoch [16][2950/7330] lr: 1.000e-04, eta: 2 days, 9:25:17, time: 1.368, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1848, s0.loss_cls: 0.1367, s0.acc: 95.0723, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1928, s1.loss_cls: 0.0655, s1.acc: 95.3422, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0914, s2.loss_cls: 0.0342, s2.acc: 94.9912, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0432, loss: 1.0115 2022-09-14 00:37:53,394 - mmdet - INFO - Epoch [16][3000/7330] lr: 1.000e-04, eta: 2 days, 9:24:09, time: 1.371, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1388, s0.acc: 94.9736, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1961, s1.loss_cls: 0.0671, s1.acc: 95.1670, s1.loss_bbox: 0.0895, s1.loss_mask: 0.0925, s2.loss_cls: 0.0340, s2.acc: 94.9074, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0435, loss: 1.0209 2022-09-14 00:39:02,304 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 00:39:02,304 - mmdet - INFO - Epoch [16][3050/7330] lr: 1.000e-04, eta: 2 days, 9:23:01, time: 1.379, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1304, s0.acc: 95.2166, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1889, s1.loss_cls: 0.0623, s1.acc: 95.4294, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0895, s2.loss_cls: 0.0317, s2.acc: 95.2395, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0424, loss: 0.9823 2022-09-14 00:40:10,088 - mmdet - INFO - Epoch [16][3100/7330] lr: 1.000e-04, eta: 2 days, 9:21:51, time: 1.356, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1732, s0.loss_cls: 0.1378, s0.acc: 94.9653, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1932, s1.loss_cls: 0.0669, s1.acc: 95.1446, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0919, s2.loss_cls: 0.0342, s2.acc: 94.9359, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0436, loss: 1.0081 2022-09-14 00:41:17,381 - mmdet - INFO - Epoch [16][3150/7330] lr: 1.000e-04, eta: 2 days, 9:20:41, time: 1.346, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1740, s0.loss_cls: 0.1356, s0.acc: 95.0317, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1920, s1.loss_cls: 0.0637, s1.acc: 95.2845, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0901, s2.loss_cls: 0.0325, s2.acc: 95.0748, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0427, loss: 0.9998 2022-09-14 00:42:25,528 - mmdet - INFO - Epoch [16][3200/7330] lr: 1.000e-04, eta: 2 days, 9:19:33, time: 1.363, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1745, s0.loss_cls: 0.1321, s0.acc: 95.1025, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1934, s1.loss_cls: 0.0636, s1.acc: 95.3689, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0916, s2.loss_cls: 0.0332, s2.acc: 95.0991, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0434, loss: 0.9906 2022-09-14 00:43:34,069 - mmdet - INFO - Epoch [16][3250/7330] lr: 1.000e-04, eta: 2 days, 9:18:24, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1311, s0.acc: 95.1455, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1851, s1.loss_cls: 0.0626, s1.acc: 95.3741, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0877, s2.loss_cls: 0.0320, s2.acc: 95.2982, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0413, loss: 0.9753 2022-09-14 00:44:42,720 - mmdet - INFO - Epoch [16][3300/7330] lr: 1.000e-04, eta: 2 days, 9:17:16, time: 1.374, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1792, s0.loss_cls: 0.1417, s0.acc: 94.9766, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1994, s1.loss_cls: 0.0682, s1.acc: 95.2076, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0943, s2.loss_cls: 0.0345, s2.acc: 95.0357, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0445, loss: 1.0361 2022-09-14 00:45:52,024 - mmdet - INFO - Epoch [16][3350/7330] lr: 1.000e-04, eta: 2 days, 9:16:09, time: 1.386, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1805, s0.loss_cls: 0.1381, s0.acc: 94.9612, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1930, s1.loss_cls: 0.0669, s1.acc: 95.1227, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0911, s2.loss_cls: 0.0338, s2.acc: 94.9551, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0428, loss: 1.0074 2022-09-14 00:47:00,419 - mmdet - INFO - Epoch [16][3400/7330] lr: 1.000e-04, eta: 2 days, 9:15:00, time: 1.368, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1354, s0.acc: 95.0823, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1910, s1.loss_cls: 0.0636, s1.acc: 95.4280, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0909, s2.loss_cls: 0.0320, s2.acc: 95.2439, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0429, loss: 0.9917 2022-09-14 00:48:09,168 - mmdet - INFO - Epoch [16][3450/7330] lr: 1.000e-04, eta: 2 days, 9:13:52, time: 1.375, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1767, s0.loss_cls: 0.1421, s0.acc: 94.8281, s0.loss_bbox: 0.0779, s0.loss_mask: 0.1895, s1.loss_cls: 0.0676, s1.acc: 95.1068, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0895, s2.loss_cls: 0.0345, s2.acc: 94.9424, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0423, loss: 1.0118 2022-09-14 00:49:17,030 - mmdet - INFO - Epoch [16][3500/7330] lr: 1.000e-04, eta: 2 days, 9:12:43, time: 1.357, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1376, s0.acc: 94.8958, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1926, s1.loss_cls: 0.0653, s1.acc: 95.1985, s1.loss_bbox: 0.0892, s1.loss_mask: 0.0904, s2.loss_cls: 0.0339, s2.acc: 94.9336, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0426, loss: 1.0110 2022-09-14 00:50:24,814 - mmdet - INFO - Epoch [16][3550/7330] lr: 1.000e-04, eta: 2 days, 9:11:33, time: 1.356, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1769, s0.loss_cls: 0.1288, s0.acc: 95.4045, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1872, s1.loss_cls: 0.0617, s1.acc: 95.6485, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0886, s2.loss_cls: 0.0318, s2.acc: 95.4419, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0418, loss: 0.9709 2022-09-14 00:51:33,099 - mmdet - INFO - Epoch [16][3600/7330] lr: 1.000e-04, eta: 2 days, 9:10:25, time: 1.365, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1819, s0.loss_cls: 0.1451, s0.acc: 94.7371, s0.loss_bbox: 0.0803, s0.loss_mask: 0.1990, s1.loss_cls: 0.0685, s1.acc: 95.0170, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0937, s2.loss_cls: 0.0354, s2.acc: 94.7125, s2.loss_bbox: 0.0594, s2.loss_mask: 0.0438, loss: 1.0470 2022-09-14 00:52:42,683 - mmdet - INFO - Epoch [16][3650/7330] lr: 1.000e-04, eta: 2 days, 9:09:18, time: 1.392, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1779, s0.loss_cls: 0.1380, s0.acc: 95.0247, s0.loss_bbox: 0.0776, s0.loss_mask: 0.1893, s1.loss_cls: 0.0664, s1.acc: 95.2227, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0893, s2.loss_cls: 0.0347, s2.acc: 94.8563, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0420, loss: 1.0111 2022-09-14 00:53:50,134 - mmdet - INFO - Epoch [16][3700/7330] lr: 1.000e-04, eta: 2 days, 9:08:08, time: 1.349, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1745, s0.loss_cls: 0.1349, s0.acc: 95.1047, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1897, s1.loss_cls: 0.0647, s1.acc: 95.3183, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0899, s2.loss_cls: 0.0334, s2.acc: 95.1255, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0424, loss: 0.9897 2022-09-14 00:54:57,528 - mmdet - INFO - Epoch [16][3750/7330] lr: 1.000e-04, eta: 2 days, 9:06:58, time: 1.348, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1750, s0.loss_cls: 0.1344, s0.acc: 95.1299, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1941, s1.loss_cls: 0.0643, s1.acc: 95.3215, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0915, s2.loss_cls: 0.0325, s2.acc: 95.1787, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0437, loss: 0.9922 2022-09-14 00:56:05,968 - mmdet - INFO - Epoch [16][3800/7330] lr: 1.000e-04, eta: 2 days, 9:05:50, time: 1.369, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1838, s0.loss_cls: 0.1435, s0.acc: 94.7925, s0.loss_bbox: 0.0797, s0.loss_mask: 0.1963, s1.loss_cls: 0.0681, s1.acc: 95.0142, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0922, s2.loss_cls: 0.0345, s2.acc: 94.8344, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0433, loss: 1.0350 2022-09-14 00:57:14,637 - mmdet - INFO - Epoch [16][3850/7330] lr: 1.000e-04, eta: 2 days, 9:04:42, time: 1.373, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1434, s0.acc: 94.8523, s0.loss_bbox: 0.0791, s0.loss_mask: 0.1948, s1.loss_cls: 0.0698, s1.acc: 94.9672, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0906, s2.loss_cls: 0.0360, s2.acc: 94.6448, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0428, loss: 1.0279 2022-09-14 00:58:22,819 - mmdet - INFO - Epoch [16][3900/7330] lr: 1.000e-04, eta: 2 days, 9:03:33, time: 1.362, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1746, s0.loss_cls: 0.1265, s0.acc: 95.4031, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1873, s1.loss_cls: 0.0605, s1.acc: 95.5433, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0882, s2.loss_cls: 0.0318, s2.acc: 95.2503, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0417, loss: 0.9618 2022-09-14 00:59:31,828 - mmdet - INFO - Epoch [16][3950/7330] lr: 1.000e-04, eta: 2 days, 9:02:25, time: 1.382, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0284, loss_semantic_seg: 0.1727, s0.loss_cls: 0.1376, s0.acc: 95.0261, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1999, s1.loss_cls: 0.0661, s1.acc: 95.2290, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0940, s2.loss_cls: 0.0335, s2.acc: 95.0688, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0439, loss: 1.0169 2022-09-14 01:00:39,991 - mmdet - INFO - Epoch [16][4000/7330] lr: 1.000e-04, eta: 2 days, 9:01:16, time: 1.363, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1874, s0.loss_cls: 0.1410, s0.acc: 94.8774, s0.loss_bbox: 0.0786, s0.loss_mask: 0.1934, s1.loss_cls: 0.0685, s1.acc: 94.9880, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0912, s2.loss_cls: 0.0349, s2.acc: 94.8351, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0426, loss: 1.0275 2022-09-14 01:01:47,982 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 01:01:47,983 - mmdet - INFO - Epoch [16][4050/7330] lr: 1.000e-04, eta: 2 days, 9:00:07, time: 1.360, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1746, s0.loss_cls: 0.1319, s0.acc: 95.1580, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1876, s1.loss_cls: 0.0635, s1.acc: 95.3529, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0890, s2.loss_cls: 0.0327, s2.acc: 95.0884, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0420, loss: 0.9810 2022-09-14 01:02:57,407 - mmdet - INFO - Epoch [16][4100/7330] lr: 1.000e-04, eta: 2 days, 8:59:00, time: 1.388, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1744, s0.loss_cls: 0.1401, s0.acc: 94.9487, s0.loss_bbox: 0.0776, s0.loss_mask: 0.1897, s1.loss_cls: 0.0672, s1.acc: 95.2083, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0895, s2.loss_cls: 0.0348, s2.acc: 94.9335, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0420, loss: 1.0101 2022-09-14 01:04:06,182 - mmdet - INFO - Epoch [16][4150/7330] lr: 1.000e-04, eta: 2 days, 8:57:52, time: 1.376, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1333, s0.acc: 95.1296, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1900, s1.loss_cls: 0.0631, s1.acc: 95.4036, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0896, s2.loss_cls: 0.0326, s2.acc: 95.2420, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0424, loss: 0.9773 2022-09-14 01:05:15,833 - mmdet - INFO - Epoch [16][4200/7330] lr: 1.000e-04, eta: 2 days, 8:56:45, time: 1.393, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1821, s0.loss_cls: 0.1454, s0.acc: 94.7722, s0.loss_bbox: 0.0805, s0.loss_mask: 0.1977, s1.loss_cls: 0.0710, s1.acc: 94.7977, s1.loss_bbox: 0.0915, s1.loss_mask: 0.0932, s2.loss_cls: 0.0361, s2.acc: 94.5048, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0438, loss: 1.0463 2022-09-14 01:06:24,389 - mmdet - INFO - Epoch [16][4250/7330] lr: 1.000e-04, eta: 2 days, 8:55:37, time: 1.371, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1362, s0.acc: 95.0251, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1944, s1.loss_cls: 0.0648, s1.acc: 95.3349, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0918, s2.loss_cls: 0.0338, s2.acc: 95.0979, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0433, loss: 1.0091 2022-09-14 01:07:32,751 - mmdet - INFO - Epoch [16][4300/7330] lr: 1.000e-04, eta: 2 days, 8:54:28, time: 1.367, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1824, s0.loss_cls: 0.1361, s0.acc: 95.1335, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1967, s1.loss_cls: 0.0663, s1.acc: 95.2613, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0932, s2.loss_cls: 0.0339, s2.acc: 95.0199, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0441, loss: 1.0100 2022-09-14 01:08:41,424 - mmdet - INFO - Epoch [16][4350/7330] lr: 1.000e-04, eta: 2 days, 8:53:20, time: 1.373, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1296, s0.acc: 95.3677, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1878, s1.loss_cls: 0.0620, s1.acc: 95.5582, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0879, s2.loss_cls: 0.0314, s2.acc: 95.3578, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0414, loss: 0.9648 2022-09-14 01:09:51,016 - mmdet - INFO - Epoch [16][4400/7330] lr: 1.000e-04, eta: 2 days, 8:52:13, time: 1.392, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0291, loss_semantic_seg: 0.1733, s0.loss_cls: 0.1379, s0.acc: 95.0225, s0.loss_bbox: 0.0786, s0.loss_mask: 0.1916, s1.loss_cls: 0.0645, s1.acc: 95.2948, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0909, s2.loss_cls: 0.0333, s2.acc: 95.0643, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0427, loss: 1.0070 2022-09-14 01:10:58,979 - mmdet - INFO - Epoch [16][4450/7330] lr: 1.000e-04, eta: 2 days, 8:51:04, time: 1.359, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1728, s0.loss_cls: 0.1349, s0.acc: 95.1506, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1890, s1.loss_cls: 0.0653, s1.acc: 95.3198, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0892, s2.loss_cls: 0.0335, s2.acc: 95.0092, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0418, loss: 0.9808 2022-09-14 01:12:06,806 - mmdet - INFO - Epoch [16][4500/7330] lr: 1.000e-04, eta: 2 days, 8:49:54, time: 1.357, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1318, s0.acc: 95.1865, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1874, s1.loss_cls: 0.0625, s1.acc: 95.3578, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0886, s2.loss_cls: 0.0323, s2.acc: 95.0868, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0419, loss: 0.9881 2022-09-14 01:13:14,136 - mmdet - INFO - Epoch [16][4550/7330] lr: 1.000e-04, eta: 2 days, 8:48:45, time: 1.347, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1759, s0.loss_cls: 0.1364, s0.acc: 95.0066, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1915, s1.loss_cls: 0.0653, s1.acc: 95.2220, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0900, s2.loss_cls: 0.0331, s2.acc: 95.0368, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0425, loss: 1.0028 2022-09-14 01:14:22,120 - mmdet - INFO - Epoch [16][4600/7330] lr: 1.000e-04, eta: 2 days, 8:47:35, time: 1.360, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1768, s0.loss_cls: 0.1284, s0.acc: 95.2239, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1866, s1.loss_cls: 0.0619, s1.acc: 95.3812, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0879, s2.loss_cls: 0.0315, s2.acc: 95.1644, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0412, loss: 0.9751 2022-09-14 01:15:29,851 - mmdet - INFO - Epoch [16][4650/7330] lr: 1.000e-04, eta: 2 days, 8:46:26, time: 1.353, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1873, s0.loss_cls: 0.1372, s0.acc: 94.9058, s0.loss_bbox: 0.0787, s0.loss_mask: 0.1966, s1.loss_cls: 0.0666, s1.acc: 95.0501, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0930, s2.loss_cls: 0.0340, s2.acc: 94.8654, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0436, loss: 1.0294 2022-09-14 01:16:37,871 - mmdet - INFO - Epoch [16][4700/7330] lr: 1.000e-04, eta: 2 days, 8:45:17, time: 1.362, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1770, s0.loss_cls: 0.1408, s0.acc: 94.9324, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1933, s1.loss_cls: 0.0671, s1.acc: 95.1238, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0908, s2.loss_cls: 0.0342, s2.acc: 94.8598, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0431, loss: 1.0094 2022-09-14 01:17:47,073 - mmdet - INFO - Epoch [16][4750/7330] lr: 1.000e-04, eta: 2 days, 8:44:10, time: 1.384, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1802, s0.loss_cls: 0.1308, s0.acc: 95.2788, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1874, s1.loss_cls: 0.0627, s1.acc: 95.4629, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0888, s2.loss_cls: 0.0322, s2.acc: 95.2361, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0419, loss: 0.9726 2022-09-14 01:18:55,298 - mmdet - INFO - Epoch [16][4800/7330] lr: 1.000e-04, eta: 2 days, 8:43:01, time: 1.365, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1700, s0.loss_cls: 0.1345, s0.acc: 95.0085, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1940, s1.loss_cls: 0.0642, s1.acc: 95.2581, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0929, s2.loss_cls: 0.0329, s2.acc: 95.0934, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0440, loss: 0.9970 2022-09-14 01:20:04,760 - mmdet - INFO - Epoch [16][4850/7330] lr: 1.000e-04, eta: 2 days, 8:41:53, time: 1.388, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0288, loss_semantic_seg: 0.1745, s0.loss_cls: 0.1350, s0.acc: 95.0581, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1963, s1.loss_cls: 0.0636, s1.acc: 95.3289, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0918, s2.loss_cls: 0.0325, s2.acc: 95.2178, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0439, loss: 1.0077 2022-09-14 01:21:12,651 - mmdet - INFO - Epoch [16][4900/7330] lr: 1.000e-04, eta: 2 days, 8:40:44, time: 1.359, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1782, s0.loss_cls: 0.1311, s0.acc: 95.1904, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1927, s1.loss_cls: 0.0626, s1.acc: 95.3834, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0912, s2.loss_cls: 0.0319, s2.acc: 95.2163, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0429, loss: 0.9902 2022-09-14 01:22:21,134 - mmdet - INFO - Epoch [16][4950/7330] lr: 1.000e-04, eta: 2 days, 8:39:36, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1770, s0.loss_cls: 0.1283, s0.acc: 95.2803, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1864, s1.loss_cls: 0.0628, s1.acc: 95.4704, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0878, s2.loss_cls: 0.0321, s2.acc: 95.1997, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0412, loss: 0.9676 2022-09-14 01:23:29,399 - mmdet - INFO - Epoch [16][5000/7330] lr: 1.000e-04, eta: 2 days, 8:38:27, time: 1.364, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1344, s0.acc: 95.0750, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1951, s1.loss_cls: 0.0645, s1.acc: 95.2645, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0914, s2.loss_cls: 0.0330, s2.acc: 95.0943, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0428, loss: 0.9929 2022-09-14 01:24:38,523 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 01:24:38,527 - mmdet - INFO - Epoch [16][5050/7330] lr: 1.000e-04, eta: 2 days, 8:37:20, time: 1.384, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1353, s0.acc: 94.9802, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1878, s1.loss_cls: 0.0643, s1.acc: 95.2338, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0890, s2.loss_cls: 0.0333, s2.acc: 94.9878, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0416, loss: 0.9909 2022-09-14 01:25:47,470 - mmdet - INFO - Epoch [16][5100/7330] lr: 1.000e-04, eta: 2 days, 8:36:12, time: 1.379, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1680, s0.loss_cls: 0.1358, s0.acc: 95.0452, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1894, s1.loss_cls: 0.0639, s1.acc: 95.2784, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0897, s2.loss_cls: 0.0328, s2.acc: 95.0397, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0419, loss: 0.9894 2022-09-14 01:26:55,761 - mmdet - INFO - Epoch [16][5150/7330] lr: 1.000e-04, eta: 2 days, 8:35:03, time: 1.366, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1397, s0.acc: 94.9087, s0.loss_bbox: 0.0788, s0.loss_mask: 0.1932, s1.loss_cls: 0.0659, s1.acc: 95.1423, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0908, s2.loss_cls: 0.0336, s2.acc: 94.9321, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0429, loss: 1.0131 2022-09-14 01:28:04,245 - mmdet - INFO - Epoch [16][5200/7330] lr: 1.000e-04, eta: 2 days, 8:33:55, time: 1.370, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1760, s0.loss_cls: 0.1324, s0.acc: 95.2029, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1929, s1.loss_cls: 0.0629, s1.acc: 95.4384, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0914, s2.loss_cls: 0.0322, s2.acc: 95.2498, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0428, loss: 0.9944 2022-09-14 01:29:14,334 - mmdet - INFO - Epoch [16][5250/7330] lr: 1.000e-04, eta: 2 days, 8:32:48, time: 1.401, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1284, s0.acc: 95.3513, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1918, s1.loss_cls: 0.0602, s1.acc: 95.5608, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0909, s2.loss_cls: 0.0315, s2.acc: 95.2463, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0430, loss: 0.9706 2022-09-14 01:30:22,899 - mmdet - INFO - Epoch [16][5300/7330] lr: 1.000e-04, eta: 2 days, 8:31:40, time: 1.373, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1744, s0.loss_cls: 0.1368, s0.acc: 94.9646, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1913, s1.loss_cls: 0.0653, s1.acc: 95.2704, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0907, s2.loss_cls: 0.0335, s2.acc: 95.0579, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0428, loss: 1.0066 2022-09-14 01:31:32,129 - mmdet - INFO - Epoch [16][5350/7330] lr: 1.000e-04, eta: 2 days, 8:30:33, time: 1.385, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1827, s0.loss_cls: 0.1404, s0.acc: 94.9707, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1916, s1.loss_cls: 0.0675, s1.acc: 95.1700, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0899, s2.loss_cls: 0.0342, s2.acc: 95.0202, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0428, loss: 1.0128 2022-09-14 01:32:40,093 - mmdet - INFO - Epoch [16][5400/7330] lr: 1.000e-04, eta: 2 days, 8:29:24, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1366, s0.acc: 95.1140, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1888, s1.loss_cls: 0.0641, s1.acc: 95.4112, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0888, s2.loss_cls: 0.0331, s2.acc: 95.2378, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0419, loss: 0.9869 2022-09-14 01:33:47,548 - mmdet - INFO - Epoch [16][5450/7330] lr: 1.000e-04, eta: 2 days, 8:28:14, time: 1.349, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1758, s0.loss_cls: 0.1308, s0.acc: 95.1455, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1929, s1.loss_cls: 0.0618, s1.acc: 95.4503, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0905, s2.loss_cls: 0.0320, s2.acc: 95.2218, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0427, loss: 0.9864 2022-09-14 01:34:56,496 - mmdet - INFO - Epoch [16][5500/7330] lr: 1.000e-04, eta: 2 days, 8:27:06, time: 1.379, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1362, s0.acc: 95.0464, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1920, s1.loss_cls: 0.0645, s1.acc: 95.2553, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0911, s2.loss_cls: 0.0334, s2.acc: 95.0042, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0427, loss: 1.0031 2022-09-14 01:36:04,452 - mmdet - INFO - Epoch [16][5550/7330] lr: 1.000e-04, eta: 2 days, 8:25:57, time: 1.357, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1753, s0.loss_cls: 0.1334, s0.acc: 95.1619, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1900, s1.loss_cls: 0.0649, s1.acc: 95.3157, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0896, s2.loss_cls: 0.0332, s2.acc: 95.0540, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0421, loss: 0.9887 2022-09-14 01:37:12,262 - mmdet - INFO - Epoch [16][5600/7330] lr: 1.000e-04, eta: 2 days, 8:24:48, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1733, s0.loss_cls: 0.1288, s0.acc: 95.2930, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1868, s1.loss_cls: 0.0611, s1.acc: 95.5481, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0885, s2.loss_cls: 0.0313, s2.acc: 95.3677, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0419, loss: 0.9575 2022-09-14 01:38:20,727 - mmdet - INFO - Epoch [16][5650/7330] lr: 1.000e-04, eta: 2 days, 8:23:39, time: 1.368, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1405, s0.acc: 94.8574, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1940, s1.loss_cls: 0.0667, s1.acc: 95.1807, s1.loss_bbox: 0.0901, s1.loss_mask: 0.0914, s2.loss_cls: 0.0346, s2.acc: 94.9270, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0433, loss: 1.0229 2022-09-14 01:39:29,031 - mmdet - INFO - Epoch [16][5700/7330] lr: 1.000e-04, eta: 2 days, 8:22:30, time: 1.368, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1296, s0.acc: 95.2664, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1908, s1.loss_cls: 0.0612, s1.acc: 95.4721, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0899, s2.loss_cls: 0.0313, s2.acc: 95.2471, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0421, loss: 0.9829 2022-09-14 01:40:37,562 - mmdet - INFO - Epoch [16][5750/7330] lr: 1.000e-04, eta: 2 days, 8:21:22, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1328, s0.acc: 95.0828, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1949, s1.loss_cls: 0.0626, s1.acc: 95.3677, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0925, s2.loss_cls: 0.0319, s2.acc: 95.1552, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0438, loss: 0.9990 2022-09-14 01:41:46,073 - mmdet - INFO - Epoch [16][5800/7330] lr: 1.000e-04, eta: 2 days, 8:20:14, time: 1.369, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1842, s0.loss_cls: 0.1354, s0.acc: 95.0562, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1948, s1.loss_cls: 0.0652, s1.acc: 95.2446, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0917, s2.loss_cls: 0.0337, s2.acc: 94.9495, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0432, loss: 1.0118 2022-09-14 01:42:53,767 - mmdet - INFO - Epoch [16][5850/7330] lr: 1.000e-04, eta: 2 days, 8:19:04, time: 1.355, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1424, s0.acc: 94.8484, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1907, s1.loss_cls: 0.0686, s1.acc: 95.0029, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0896, s2.loss_cls: 0.0349, s2.acc: 94.8200, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0423, loss: 1.0131 2022-09-14 01:44:01,488 - mmdet - INFO - Epoch [16][5900/7330] lr: 1.000e-04, eta: 2 days, 8:17:55, time: 1.354, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1400, s0.acc: 94.9248, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1958, s1.loss_cls: 0.0659, s1.acc: 95.2100, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0918, s2.loss_cls: 0.0342, s2.acc: 94.8880, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0426, loss: 1.0175 2022-09-14 01:45:10,095 - mmdet - INFO - Epoch [16][5950/7330] lr: 1.000e-04, eta: 2 days, 8:16:47, time: 1.372, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1790, s0.loss_cls: 0.1375, s0.acc: 95.0515, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1888, s1.loss_cls: 0.0666, s1.acc: 95.2436, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0895, s2.loss_cls: 0.0339, s2.acc: 95.0510, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0422, loss: 0.9984 2022-09-14 01:46:19,258 - mmdet - INFO - Epoch [16][6000/7330] lr: 1.000e-04, eta: 2 days, 8:15:39, time: 1.383, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1348, s0.acc: 95.1370, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1916, s1.loss_cls: 0.0646, s1.acc: 95.3144, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0903, s2.loss_cls: 0.0331, s2.acc: 95.1189, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0421, loss: 0.9883 2022-09-14 01:47:28,327 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 01:47:28,329 - mmdet - INFO - Epoch [16][6050/7330] lr: 1.000e-04, eta: 2 days, 8:14:31, time: 1.381, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1284, s0.acc: 95.2468, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1872, s1.loss_cls: 0.0610, s1.acc: 95.5041, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0889, s2.loss_cls: 0.0316, s2.acc: 95.2886, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0421, loss: 0.9668 2022-09-14 01:48:35,816 - mmdet - INFO - Epoch [16][6100/7330] lr: 1.000e-04, eta: 2 days, 8:13:22, time: 1.350, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1327, s0.acc: 95.2527, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1924, s1.loss_cls: 0.0630, s1.acc: 95.5064, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0910, s2.loss_cls: 0.0329, s2.acc: 95.2852, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0429, loss: 0.9970 2022-09-14 01:49:44,462 - mmdet - INFO - Epoch [16][6150/7330] lr: 1.000e-04, eta: 2 days, 8:12:13, time: 1.373, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1819, s0.loss_cls: 0.1307, s0.acc: 95.1934, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1938, s1.loss_cls: 0.0622, s1.acc: 95.5019, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0910, s2.loss_cls: 0.0316, s2.acc: 95.3505, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0429, loss: 0.9947 2022-09-14 01:50:52,022 - mmdet - INFO - Epoch [16][6200/7330] lr: 1.000e-04, eta: 2 days, 8:11:04, time: 1.351, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1847, s0.loss_cls: 0.1318, s0.acc: 95.3318, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1900, s1.loss_cls: 0.0623, s1.acc: 95.5771, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0901, s2.loss_cls: 0.0317, s2.acc: 95.4040, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0428, loss: 0.9945 2022-09-14 01:52:00,388 - mmdet - INFO - Epoch [16][6250/7330] lr: 1.000e-04, eta: 2 days, 8:09:55, time: 1.367, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1253, s0.acc: 95.3940, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1859, s1.loss_cls: 0.0598, s1.acc: 95.6054, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0872, s2.loss_cls: 0.0309, s2.acc: 95.3512, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0411, loss: 0.9570 2022-09-14 01:53:09,383 - mmdet - INFO - Epoch [16][6300/7330] lr: 1.000e-04, eta: 2 days, 8:08:47, time: 1.380, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1375, s0.acc: 94.9580, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1975, s1.loss_cls: 0.0652, s1.acc: 95.2446, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0929, s2.loss_cls: 0.0336, s2.acc: 95.0116, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0440, loss: 1.0223 2022-09-14 01:54:17,631 - mmdet - INFO - Epoch [16][6350/7330] lr: 1.000e-04, eta: 2 days, 8:07:39, time: 1.365, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1680, s0.loss_cls: 0.1308, s0.acc: 95.2334, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1872, s1.loss_cls: 0.0621, s1.acc: 95.5113, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0878, s2.loss_cls: 0.0315, s2.acc: 95.3566, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0418, loss: 0.9642 2022-09-14 01:55:25,483 - mmdet - INFO - Epoch [16][6400/7330] lr: 1.000e-04, eta: 2 days, 8:06:30, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1280, s0.acc: 95.3459, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1874, s1.loss_cls: 0.0608, s1.acc: 95.5795, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0891, s2.loss_cls: 0.0308, s2.acc: 95.4102, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0416, loss: 0.9718 2022-09-14 01:56:33,068 - mmdet - INFO - Epoch [16][6450/7330] lr: 1.000e-04, eta: 2 days, 8:05:20, time: 1.350, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1794, s0.loss_cls: 0.1432, s0.acc: 94.8872, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1906, s1.loss_cls: 0.0685, s1.acc: 95.2383, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0906, s2.loss_cls: 0.0352, s2.acc: 95.0470, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0428, loss: 1.0213 2022-09-14 01:57:41,051 - mmdet - INFO - Epoch [16][6500/7330] lr: 1.000e-04, eta: 2 days, 8:04:11, time: 1.361, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1838, s0.loss_cls: 0.1394, s0.acc: 94.9536, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1923, s1.loss_cls: 0.0682, s1.acc: 95.0770, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0906, s2.loss_cls: 0.0345, s2.acc: 94.9018, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0425, loss: 1.0131 2022-09-14 01:58:48,949 - mmdet - INFO - Epoch [16][6550/7330] lr: 1.000e-04, eta: 2 days, 8:03:02, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1784, s0.loss_cls: 0.1335, s0.acc: 95.1548, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1940, s1.loss_cls: 0.0637, s1.acc: 95.3821, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0917, s2.loss_cls: 0.0326, s2.acc: 95.1983, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0433, loss: 0.9950 2022-09-14 01:59:58,104 - mmdet - INFO - Epoch [16][6600/7330] lr: 1.000e-04, eta: 2 days, 8:01:54, time: 1.383, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1309, s0.acc: 95.2769, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1918, s1.loss_cls: 0.0631, s1.acc: 95.4239, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0911, s2.loss_cls: 0.0325, s2.acc: 95.2469, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0432, loss: 0.9925 2022-09-14 02:01:09,865 - mmdet - INFO - Epoch [16][6650/7330] lr: 1.000e-04, eta: 2 days, 8:00:50, time: 1.435, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1810, s0.loss_cls: 0.1255, s0.acc: 95.4229, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1887, s1.loss_cls: 0.0596, s1.acc: 95.6639, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0885, s2.loss_cls: 0.0308, s2.acc: 95.4062, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0415, loss: 0.9618 2022-09-14 02:02:18,738 - mmdet - INFO - Epoch [16][6700/7330] lr: 1.000e-04, eta: 2 days, 7:59:42, time: 1.376, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1739, s0.loss_cls: 0.1362, s0.acc: 95.0647, s0.loss_bbox: 0.0759, s0.loss_mask: 0.1935, s1.loss_cls: 0.0665, s1.acc: 95.2321, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0918, s2.loss_cls: 0.0342, s2.acc: 94.9646, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0433, loss: 1.0007 2022-09-14 02:03:27,529 - mmdet - INFO - Epoch [16][6750/7330] lr: 1.000e-04, eta: 2 days, 7:58:34, time: 1.377, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1789, s0.loss_cls: 0.1389, s0.acc: 95.0176, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1967, s1.loss_cls: 0.0665, s1.acc: 95.2429, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0923, s2.loss_cls: 0.0342, s2.acc: 94.9804, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0435, loss: 1.0138 2022-09-14 02:04:37,553 - mmdet - INFO - Epoch [16][6800/7330] lr: 1.000e-04, eta: 2 days, 7:57:27, time: 1.400, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1812, s0.loss_cls: 0.1378, s0.acc: 95.0781, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1922, s1.loss_cls: 0.0655, s1.acc: 95.3431, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0901, s2.loss_cls: 0.0335, s2.acc: 95.0923, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0423, loss: 1.0104 2022-09-14 02:05:46,860 - mmdet - INFO - Epoch [16][6850/7330] lr: 1.000e-04, eta: 2 days, 7:56:20, time: 1.386, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1790, s0.loss_cls: 0.1391, s0.acc: 94.9724, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1898, s1.loss_cls: 0.0675, s1.acc: 95.1168, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0892, s2.loss_cls: 0.0344, s2.acc: 94.9207, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0418, loss: 1.0039 2022-09-14 02:06:55,186 - mmdet - INFO - Epoch [16][6900/7330] lr: 1.000e-04, eta: 2 days, 7:55:11, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1353, s0.acc: 95.1184, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1958, s1.loss_cls: 0.0652, s1.acc: 95.3277, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0920, s2.loss_cls: 0.0334, s2.acc: 95.0438, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0435, loss: 1.0092 2022-09-14 02:08:02,501 - mmdet - INFO - Epoch [16][6950/7330] lr: 1.000e-04, eta: 2 days, 7:54:01, time: 1.346, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1317, s0.acc: 95.2327, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1919, s1.loss_cls: 0.0631, s1.acc: 95.4068, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0914, s2.loss_cls: 0.0328, s2.acc: 95.1421, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0432, loss: 0.9935 2022-09-14 02:09:12,384 - mmdet - INFO - Epoch [16][7000/7330] lr: 1.000e-04, eta: 2 days, 7:52:55, time: 1.398, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1758, s0.loss_cls: 0.1308, s0.acc: 95.2078, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1843, s1.loss_cls: 0.0626, s1.acc: 95.5046, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0862, s2.loss_cls: 0.0325, s2.acc: 95.1999, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0405, loss: 0.9741 2022-09-14 02:10:22,868 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 02:10:22,871 - mmdet - INFO - Epoch [16][7050/7330] lr: 1.000e-04, eta: 2 days, 7:51:49, time: 1.410, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1798, s0.loss_cls: 0.1365, s0.acc: 94.9795, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1918, s1.loss_cls: 0.0654, s1.acc: 95.2327, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0903, s2.loss_cls: 0.0334, s2.acc: 94.9885, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0427, loss: 1.0043 2022-09-14 02:11:31,394 - mmdet - INFO - Epoch [16][7100/7330] lr: 1.000e-04, eta: 2 days, 7:50:41, time: 1.370, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1369, s0.acc: 94.9966, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1976, s1.loss_cls: 0.0659, s1.acc: 95.1385, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0936, s2.loss_cls: 0.0337, s2.acc: 94.8825, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0443, loss: 1.0176 2022-09-14 02:12:40,053 - mmdet - INFO - Epoch [16][7150/7330] lr: 1.000e-04, eta: 2 days, 7:49:32, time: 1.373, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1359, s0.acc: 95.0803, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1864, s1.loss_cls: 0.0645, s1.acc: 95.3228, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0880, s2.loss_cls: 0.0328, s2.acc: 95.1614, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0416, loss: 0.9726 2022-09-14 02:13:47,269 - mmdet - INFO - Epoch [16][7200/7330] lr: 1.000e-04, eta: 2 days, 7:48:22, time: 1.344, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1808, s0.loss_cls: 0.1342, s0.acc: 95.0823, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1888, s1.loss_cls: 0.0640, s1.acc: 95.2982, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0897, s2.loss_cls: 0.0326, s2.acc: 95.1202, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0424, loss: 0.9911 2022-09-14 02:14:56,012 - mmdet - INFO - Epoch [16][7250/7330] lr: 1.000e-04, eta: 2 days, 7:47:14, time: 1.375, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1356, s0.acc: 95.1604, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1910, s1.loss_cls: 0.0650, s1.acc: 95.3153, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0897, s2.loss_cls: 0.0333, s2.acc: 95.0343, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0423, loss: 0.9898 2022-09-14 02:16:03,607 - mmdet - INFO - Epoch [16][7300/7330] lr: 1.000e-04, eta: 2 days, 7:46:05, time: 1.352, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1337, s0.acc: 95.0986, s0.loss_bbox: 0.0759, s0.loss_mask: 0.1899, s1.loss_cls: 0.0636, s1.acc: 95.3182, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0901, s2.loss_cls: 0.0328, s2.acc: 95.1365, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0424, loss: 0.9887 2022-09-14 02:16:54,713 - mmdet - INFO - Saving checkpoint at 16 epochs 2022-09-14 02:20:23,191 - mmdet - INFO - Evaluating bbox... 2022-09-14 02:21:23,860 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.559 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.747 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.618 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.432 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.598 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.680 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.729 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.729 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.729 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.596 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.766 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.862 2022-09-14 02:21:23,860 - mmdet - INFO - Evaluating segm... 2022-09-14 02:22:37,873 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.485 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.724 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.530 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.313 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.524 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.662 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.636 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.636 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.636 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.672 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.783 2022-09-14 02:22:39,164 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 02:22:39,165 - mmdet - INFO - Epoch(val) [16][313] bbox_mAP: 0.5590, bbox_mAP_50: 0.7470, bbox_mAP_75: 0.6180, bbox_mAP_s: 0.4320, bbox_mAP_m: 0.5980, bbox_mAP_l: 0.6800, bbox_mAP_copypaste: 0.559 0.747 0.618 0.432 0.598 0.680, segm_mAP: 0.4850, segm_mAP_50: 0.7240, segm_mAP_75: 0.5300, segm_mAP_s: 0.3130, segm_mAP_m: 0.5240, segm_mAP_l: 0.6620, segm_mAP_copypaste: 0.485 0.724 0.530 0.313 0.524 0.662 2022-09-14 02:25:47,648 - mmdet - INFO - Epoch [17][50/7330] lr: 1.000e-04, eta: 2 days, 7:45:54, time: 3.769, data_time: 2.374, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1327, s0.acc: 95.1785, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1885, s1.loss_cls: 0.0636, s1.acc: 95.4657, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0899, s2.loss_cls: 0.0323, s2.acc: 95.3483, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0417, loss: 0.9773 2022-09-14 02:26:56,206 - mmdet - INFO - Epoch [17][100/7330] lr: 1.000e-04, eta: 2 days, 7:44:45, time: 1.371, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1746, s0.loss_cls: 0.1303, s0.acc: 95.2104, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1874, s1.loss_cls: 0.0630, s1.acc: 95.3379, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0882, s2.loss_cls: 0.0320, s2.acc: 95.1533, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0413, loss: 0.9755 2022-09-14 02:28:04,853 - mmdet - INFO - Epoch [17][150/7330] lr: 1.000e-04, eta: 2 days, 7:43:37, time: 1.373, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1758, s0.loss_cls: 0.1370, s0.acc: 94.9778, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1897, s1.loss_cls: 0.0654, s1.acc: 95.1818, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0899, s2.loss_cls: 0.0329, s2.acc: 94.9856, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0421, loss: 1.0077 2022-09-14 02:29:12,904 - mmdet - INFO - Epoch [17][200/7330] lr: 1.000e-04, eta: 2 days, 7:42:28, time: 1.361, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1259, s0.acc: 95.3962, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1887, s1.loss_cls: 0.0592, s1.acc: 95.6145, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0901, s2.loss_cls: 0.0309, s2.acc: 95.3829, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0427, loss: 0.9563 2022-09-14 02:30:20,785 - mmdet - INFO - Epoch [17][250/7330] lr: 1.000e-04, eta: 2 days, 7:41:19, time: 1.357, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1284, s0.acc: 95.2917, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1870, s1.loss_cls: 0.0610, s1.acc: 95.5188, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0885, s2.loss_cls: 0.0316, s2.acc: 95.2199, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0416, loss: 0.9594 2022-09-14 02:31:28,782 - mmdet - INFO - Epoch [17][300/7330] lr: 1.000e-04, eta: 2 days, 7:40:10, time: 1.360, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1637, s0.loss_cls: 0.1314, s0.acc: 95.1863, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1847, s1.loss_cls: 0.0625, s1.acc: 95.4711, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0875, s2.loss_cls: 0.0324, s2.acc: 95.2519, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0418, loss: 0.9609 2022-09-14 02:32:36,404 - mmdet - INFO - Epoch [17][350/7330] lr: 1.000e-04, eta: 2 days, 7:39:00, time: 1.352, data_time: 0.015, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1759, s0.loss_cls: 0.1307, s0.acc: 95.1462, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1848, s1.loss_cls: 0.0617, s1.acc: 95.4445, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0873, s2.loss_cls: 0.0316, s2.acc: 95.2479, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0416, loss: 0.9739 2022-09-14 02:33:43,893 - mmdet - INFO - Epoch [17][400/7330] lr: 1.000e-04, eta: 2 days, 7:37:50, time: 1.350, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1276, s0.acc: 95.2739, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1896, s1.loss_cls: 0.0613, s1.acc: 95.4897, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0899, s2.loss_cls: 0.0315, s2.acc: 95.2244, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0425, loss: 0.9793 2022-09-14 02:34:51,187 - mmdet - INFO - Epoch [17][450/7330] lr: 1.000e-04, eta: 2 days, 7:36:40, time: 1.346, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1272, s0.acc: 95.2388, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1883, s1.loss_cls: 0.0614, s1.acc: 95.4099, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0888, s2.loss_cls: 0.0311, s2.acc: 95.1762, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0417, loss: 0.9691 2022-09-14 02:35:59,148 - mmdet - INFO - Epoch [17][500/7330] lr: 1.000e-04, eta: 2 days, 7:35:31, time: 1.359, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1330, s0.acc: 95.0908, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1889, s1.loss_cls: 0.0638, s1.acc: 95.3529, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0894, s2.loss_cls: 0.0325, s2.acc: 95.1046, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0419, loss: 0.9805 2022-09-14 02:37:06,349 - mmdet - INFO - Epoch [17][550/7330] lr: 1.000e-04, eta: 2 days, 7:34:21, time: 1.344, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1329, s0.acc: 95.1892, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1921, s1.loss_cls: 0.0636, s1.acc: 95.3425, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0901, s2.loss_cls: 0.0325, s2.acc: 95.1884, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0424, loss: 0.9818 2022-09-14 02:38:13,672 - mmdet - INFO - Epoch [17][600/7330] lr: 1.000e-04, eta: 2 days, 7:33:11, time: 1.347, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1713, s0.loss_cls: 0.1403, s0.acc: 94.8938, s0.loss_bbox: 0.0802, s0.loss_mask: 0.1976, s1.loss_cls: 0.0676, s1.acc: 95.0788, s1.loss_bbox: 0.0912, s1.loss_mask: 0.0932, s2.loss_cls: 0.0343, s2.acc: 94.9261, s2.loss_bbox: 0.0586, s2.loss_mask: 0.0436, loss: 1.0265 2022-09-14 02:39:21,332 - mmdet - INFO - Epoch [17][650/7330] lr: 1.000e-04, eta: 2 days, 7:32:02, time: 1.353, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1679, s0.loss_cls: 0.1301, s0.acc: 95.1975, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1879, s1.loss_cls: 0.0614, s1.acc: 95.4581, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0889, s2.loss_cls: 0.0317, s2.acc: 95.3108, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0421, loss: 0.9643 2022-09-14 02:40:29,924 - mmdet - INFO - Epoch [17][700/7330] lr: 1.000e-04, eta: 2 days, 7:30:53, time: 1.372, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1768, s0.loss_cls: 0.1365, s0.acc: 94.9734, s0.loss_bbox: 0.0789, s0.loss_mask: 0.1964, s1.loss_cls: 0.0653, s1.acc: 95.1917, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0924, s2.loss_cls: 0.0341, s2.acc: 94.9393, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0436, loss: 1.0172 2022-09-14 02:41:38,165 - mmdet - INFO - Epoch [17][750/7330] lr: 1.000e-04, eta: 2 days, 7:29:44, time: 1.365, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1760, s0.loss_cls: 0.1332, s0.acc: 95.1562, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1870, s1.loss_cls: 0.0633, s1.acc: 95.3752, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0879, s2.loss_cls: 0.0318, s2.acc: 95.3008, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0416, loss: 0.9798 2022-09-14 02:42:46,634 - mmdet - INFO - Epoch [17][800/7330] lr: 1.000e-04, eta: 2 days, 7:28:36, time: 1.369, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1724, s0.loss_cls: 0.1352, s0.acc: 95.1023, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1898, s1.loss_cls: 0.0652, s1.acc: 95.2728, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0894, s2.loss_cls: 0.0336, s2.acc: 95.0182, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0419, loss: 0.9935 2022-09-14 02:43:54,799 - mmdet - INFO - Epoch [17][850/7330] lr: 1.000e-04, eta: 2 days, 7:27:27, time: 1.363, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1786, s0.loss_cls: 0.1310, s0.acc: 95.1699, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1935, s1.loss_cls: 0.0627, s1.acc: 95.3921, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0918, s2.loss_cls: 0.0327, s2.acc: 95.1174, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0434, loss: 0.9915 2022-09-14 02:45:02,971 - mmdet - INFO - Epoch [17][900/7330] lr: 1.000e-04, eta: 2 days, 7:26:18, time: 1.363, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1384, s0.acc: 95.0945, s0.loss_bbox: 0.0759, s0.loss_mask: 0.1936, s1.loss_cls: 0.0660, s1.acc: 95.3430, s1.loss_bbox: 0.0866, s1.loss_mask: 0.0914, s2.loss_cls: 0.0336, s2.acc: 95.0189, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0434, loss: 1.0095 2022-09-14 02:46:10,901 - mmdet - INFO - Epoch [17][950/7330] lr: 1.000e-04, eta: 2 days, 7:25:09, time: 1.356, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1291, s0.acc: 95.3396, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1902, s1.loss_cls: 0.0616, s1.acc: 95.5564, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0897, s2.loss_cls: 0.0316, s2.acc: 95.4194, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0421, loss: 0.9637 2022-09-14 02:47:20,436 - mmdet - INFO - Epoch [17][1000/7330] lr: 1.000e-04, eta: 2 days, 7:24:02, time: 1.394, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1738, s0.loss_cls: 0.1338, s0.acc: 95.2070, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1896, s1.loss_cls: 0.0630, s1.acc: 95.4282, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0894, s2.loss_cls: 0.0325, s2.acc: 95.2575, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0421, loss: 0.9828 2022-09-14 02:48:29,545 - mmdet - INFO - Epoch [17][1050/7330] lr: 1.000e-04, eta: 2 days, 7:22:54, time: 1.381, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1767, s0.loss_cls: 0.1314, s0.acc: 95.1689, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1842, s1.loss_cls: 0.0617, s1.acc: 95.4397, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0874, s2.loss_cls: 0.0321, s2.acc: 95.1384, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0413, loss: 0.9706 2022-09-14 02:49:38,375 - mmdet - INFO - Epoch [17][1100/7330] lr: 1.000e-04, eta: 2 days, 7:21:46, time: 1.378, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1766, s0.loss_cls: 0.1316, s0.acc: 95.1702, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1840, s1.loss_cls: 0.0629, s1.acc: 95.3767, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0869, s2.loss_cls: 0.0325, s2.acc: 95.2547, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0415, loss: 0.9724 2022-09-14 02:50:46,372 - mmdet - INFO - Epoch [17][1150/7330] lr: 1.000e-04, eta: 2 days, 7:20:37, time: 1.360, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1724, s0.loss_cls: 0.1348, s0.acc: 95.0640, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1914, s1.loss_cls: 0.0644, s1.acc: 95.2646, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0906, s2.loss_cls: 0.0331, s2.acc: 95.0242, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0426, loss: 0.9952 2022-09-14 02:51:55,203 - mmdet - INFO - Epoch [17][1200/7330] lr: 1.000e-04, eta: 2 days, 7:19:29, time: 1.377, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1683, s0.loss_cls: 0.1304, s0.acc: 95.2417, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1925, s1.loss_cls: 0.0611, s1.acc: 95.5330, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0905, s2.loss_cls: 0.0311, s2.acc: 95.3302, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0428, loss: 0.9821 2022-09-14 02:53:03,331 - mmdet - INFO - Epoch [17][1250/7330] lr: 1.000e-04, eta: 2 days, 7:18:20, time: 1.362, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1325, s0.acc: 95.2144, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1900, s1.loss_cls: 0.0625, s1.acc: 95.4913, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0897, s2.loss_cls: 0.0318, s2.acc: 95.3228, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0423, loss: 0.9893 2022-09-14 02:54:12,025 - mmdet - INFO - Epoch [17][1300/7330] lr: 1.000e-04, eta: 2 days, 7:17:12, time: 1.374, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1310, s0.acc: 95.2190, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1874, s1.loss_cls: 0.0619, s1.acc: 95.4380, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0889, s2.loss_cls: 0.0317, s2.acc: 95.2496, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0418, loss: 0.9697 2022-09-14 02:55:20,807 - mmdet - INFO - Epoch [17][1350/7330] lr: 1.000e-04, eta: 2 days, 7:16:03, time: 1.376, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1745, s0.loss_cls: 0.1333, s0.acc: 95.0520, s0.loss_bbox: 0.0764, s0.loss_mask: 0.1950, s1.loss_cls: 0.0631, s1.acc: 95.3191, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0920, s2.loss_cls: 0.0325, s2.acc: 95.1966, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0435, loss: 0.9981 2022-09-14 02:56:29,255 - mmdet - INFO - Epoch [17][1400/7330] lr: 1.000e-04, eta: 2 days, 7:14:55, time: 1.367, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1779, s0.loss_cls: 0.1339, s0.acc: 95.0574, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1919, s1.loss_cls: 0.0642, s1.acc: 95.2324, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0911, s2.loss_cls: 0.0326, s2.acc: 95.0954, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0429, loss: 0.9963 2022-09-14 02:57:38,290 - mmdet - INFO - Epoch [17][1450/7330] lr: 1.000e-04, eta: 2 days, 7:13:47, time: 1.382, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0289, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1393, s0.acc: 94.9194, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1966, s1.loss_cls: 0.0671, s1.acc: 95.0816, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0918, s2.loss_cls: 0.0343, s2.acc: 94.9407, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0429, loss: 1.0215 2022-09-14 02:58:46,275 - mmdet - INFO - Epoch [17][1500/7330] lr: 1.000e-04, eta: 2 days, 7:12:38, time: 1.360, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1763, s0.loss_cls: 0.1289, s0.acc: 95.2747, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1948, s1.loss_cls: 0.0602, s1.acc: 95.5487, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0924, s2.loss_cls: 0.0315, s2.acc: 95.2897, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0435, loss: 0.9865 2022-09-14 02:59:54,976 - mmdet - INFO - Epoch [17][1550/7330] lr: 1.000e-04, eta: 2 days, 7:11:30, time: 1.374, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1830, s0.loss_cls: 0.1357, s0.acc: 95.0574, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1929, s1.loss_cls: 0.0654, s1.acc: 95.2344, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0914, s2.loss_cls: 0.0337, s2.acc: 94.9567, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0431, loss: 1.0039 2022-09-14 03:01:02,542 - mmdet - INFO - Epoch [17][1600/7330] lr: 1.000e-04, eta: 2 days, 7:10:20, time: 1.351, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1709, s0.loss_cls: 0.1320, s0.acc: 95.2180, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1891, s1.loss_cls: 0.0619, s1.acc: 95.4678, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0895, s2.loss_cls: 0.0316, s2.acc: 95.3333, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0424, loss: 0.9722 2022-09-14 03:02:10,398 - mmdet - INFO - Epoch [17][1650/7330] lr: 1.000e-04, eta: 2 days, 7:09:11, time: 1.355, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1753, s0.loss_cls: 0.1316, s0.acc: 95.0710, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1904, s1.loss_cls: 0.0624, s1.acc: 95.3997, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0898, s2.loss_cls: 0.0322, s2.acc: 95.1123, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0424, loss: 0.9876 2022-09-14 03:03:18,271 - mmdet - INFO - Epoch [17][1700/7330] lr: 1.000e-04, eta: 2 days, 7:08:02, time: 1.359, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1744, s0.loss_cls: 0.1306, s0.acc: 95.2317, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1889, s1.loss_cls: 0.0633, s1.acc: 95.4021, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0892, s2.loss_cls: 0.0326, s2.acc: 95.2218, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0422, loss: 0.9797 2022-09-14 03:04:26,731 - mmdet - INFO - Epoch [17][1750/7330] lr: 1.000e-04, eta: 2 days, 7:06:53, time: 1.369, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1805, s0.loss_cls: 0.1310, s0.acc: 95.2332, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1895, s1.loss_cls: 0.0628, s1.acc: 95.3377, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0890, s2.loss_cls: 0.0322, s2.acc: 95.1461, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0423, loss: 0.9792 2022-09-14 03:05:35,025 - mmdet - INFO - Epoch [17][1800/7330] lr: 1.000e-04, eta: 2 days, 7:05:44, time: 1.366, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1677, s0.loss_cls: 0.1312, s0.acc: 95.2195, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1901, s1.loss_cls: 0.0626, s1.acc: 95.4412, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0899, s2.loss_cls: 0.0322, s2.acc: 95.2242, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0423, loss: 0.9751 2022-09-14 03:06:42,828 - mmdet - INFO - Epoch [17][1850/7330] lr: 1.000e-04, eta: 2 days, 7:04:35, time: 1.356, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1254, s0.acc: 95.4368, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1874, s1.loss_cls: 0.0595, s1.acc: 95.6873, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0889, s2.loss_cls: 0.0309, s2.acc: 95.4638, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0419, loss: 0.9512 2022-09-14 03:07:51,382 - mmdet - INFO - Epoch [17][1900/7330] lr: 1.000e-04, eta: 2 days, 7:03:27, time: 1.371, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1339, s0.acc: 95.1924, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1857, s1.loss_cls: 0.0647, s1.acc: 95.4092, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0881, s2.loss_cls: 0.0330, s2.acc: 95.2484, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0418, loss: 0.9765 2022-09-14 03:08:59,468 - mmdet - INFO - Epoch [17][1950/7330] lr: 1.000e-04, eta: 2 days, 7:02:18, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1724, s0.loss_cls: 0.1315, s0.acc: 95.1550, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1910, s1.loss_cls: 0.0621, s1.acc: 95.3568, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0903, s2.loss_cls: 0.0320, s2.acc: 95.2201, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0427, loss: 0.9832 2022-09-14 03:10:07,331 - mmdet - INFO - Epoch [17][2000/7330] lr: 1.000e-04, eta: 2 days, 7:01:08, time: 1.356, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1376, s0.acc: 94.9446, s0.loss_bbox: 0.0789, s0.loss_mask: 0.1938, s1.loss_cls: 0.0658, s1.acc: 95.1658, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0912, s2.loss_cls: 0.0341, s2.acc: 94.8715, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0431, loss: 1.0086 2022-09-14 03:11:16,124 - mmdet - INFO - Epoch [17][2050/7330] lr: 1.000e-04, eta: 2 days, 7:00:00, time: 1.377, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1688, s0.loss_cls: 0.1349, s0.acc: 95.1279, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1904, s1.loss_cls: 0.0640, s1.acc: 95.3905, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0908, s2.loss_cls: 0.0324, s2.acc: 95.2221, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0429, loss: 0.9841 2022-09-14 03:12:23,982 - mmdet - INFO - Epoch [17][2100/7330] lr: 1.000e-04, eta: 2 days, 6:58:51, time: 1.357, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1302, s0.acc: 95.2981, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1896, s1.loss_cls: 0.0620, s1.acc: 95.4941, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0902, s2.loss_cls: 0.0313, s2.acc: 95.3909, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0425, loss: 0.9735 2022-09-14 03:13:33,151 - mmdet - INFO - Epoch [17][2150/7330] lr: 1.000e-04, eta: 2 days, 6:57:43, time: 1.383, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1798, s0.loss_cls: 0.1325, s0.acc: 95.1782, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1940, s1.loss_cls: 0.0636, s1.acc: 95.3672, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0910, s2.loss_cls: 0.0326, s2.acc: 95.1826, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0430, loss: 0.9971 2022-09-14 03:14:40,542 - mmdet - INFO - Epoch [17][2200/7330] lr: 1.000e-04, eta: 2 days, 6:56:34, time: 1.348, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1332, s0.acc: 95.1487, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1910, s1.loss_cls: 0.0625, s1.acc: 95.3688, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0913, s2.loss_cls: 0.0323, s2.acc: 95.1291, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0435, loss: 0.9822 2022-09-14 03:15:49,372 - mmdet - INFO - Epoch [17][2250/7330] lr: 1.000e-04, eta: 2 days, 6:55:25, time: 1.377, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1387, s0.acc: 94.9443, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1909, s1.loss_cls: 0.0643, s1.acc: 95.3218, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0909, s2.loss_cls: 0.0327, s2.acc: 95.1153, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0427, loss: 1.0075 2022-09-14 03:16:57,233 - mmdet - INFO - Epoch [17][2300/7330] lr: 1.000e-04, eta: 2 days, 6:54:16, time: 1.355, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1233, s0.acc: 95.4871, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1886, s1.loss_cls: 0.0575, s1.acc: 95.8172, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0894, s2.loss_cls: 0.0296, s2.acc: 95.6873, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0421, loss: 0.9554 2022-09-14 03:18:05,522 - mmdet - INFO - Epoch [17][2350/7330] lr: 1.000e-04, eta: 2 days, 6:53:07, time: 1.368, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1306, s0.acc: 95.1750, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1892, s1.loss_cls: 0.0621, s1.acc: 95.4353, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0894, s2.loss_cls: 0.0319, s2.acc: 95.1867, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0425, loss: 0.9751 2022-09-14 03:19:13,285 - mmdet - INFO - Epoch [17][2400/7330] lr: 1.000e-04, eta: 2 days, 6:51:58, time: 1.355, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1736, s0.loss_cls: 0.1205, s0.acc: 95.6526, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1887, s1.loss_cls: 0.0566, s1.acc: 95.8949, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0890, s2.loss_cls: 0.0288, s2.acc: 95.7002, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0426, loss: 0.9432 2022-09-14 03:20:20,971 - mmdet - INFO - Epoch [17][2450/7330] lr: 1.000e-04, eta: 2 days, 6:50:49, time: 1.354, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1287, s0.acc: 95.2588, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1913, s1.loss_cls: 0.0599, s1.acc: 95.5685, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0899, s2.loss_cls: 0.0310, s2.acc: 95.3097, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0425, loss: 0.9829 2022-09-14 03:21:29,134 - mmdet - INFO - Epoch [17][2500/7330] lr: 1.000e-04, eta: 2 days, 6:49:40, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1265, s0.acc: 95.3325, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1955, s1.loss_cls: 0.0606, s1.acc: 95.5303, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0927, s2.loss_cls: 0.0316, s2.acc: 95.1887, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0434, loss: 0.9791 2022-09-14 03:22:37,791 - mmdet - INFO - Epoch [17][2550/7330] lr: 1.000e-04, eta: 2 days, 6:48:31, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1261, s0.acc: 95.3293, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1872, s1.loss_cls: 0.0597, s1.acc: 95.5148, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0881, s2.loss_cls: 0.0306, s2.acc: 95.4367, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0417, loss: 0.9582 2022-09-14 03:23:44,512 - mmdet - INFO - Epoch [17][2600/7330] lr: 1.000e-04, eta: 2 days, 6:47:21, time: 1.333, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1748, s0.loss_cls: 0.1305, s0.acc: 95.2649, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1837, s1.loss_cls: 0.0617, s1.acc: 95.4992, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0868, s2.loss_cls: 0.0315, s2.acc: 95.3641, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0411, loss: 0.9605 2022-09-14 03:24:51,919 - mmdet - INFO - Epoch [17][2650/7330] lr: 1.000e-04, eta: 2 days, 6:46:11, time: 1.350, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1273, s0.acc: 95.2737, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1872, s1.loss_cls: 0.0610, s1.acc: 95.5222, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0883, s2.loss_cls: 0.0312, s2.acc: 95.2298, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0414, loss: 0.9663 2022-09-14 03:25:58,928 - mmdet - INFO - Epoch [17][2700/7330] lr: 1.000e-04, eta: 2 days, 6:45:01, time: 1.340, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1320, s0.acc: 95.2812, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1870, s1.loss_cls: 0.0621, s1.acc: 95.6010, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0884, s2.loss_cls: 0.0315, s2.acc: 95.3606, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0418, loss: 0.9675 2022-09-14 03:27:07,154 - mmdet - INFO - Epoch [17][2750/7330] lr: 1.000e-04, eta: 2 days, 6:43:52, time: 1.364, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1784, s0.loss_cls: 0.1394, s0.acc: 94.9402, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1922, s1.loss_cls: 0.0666, s1.acc: 95.2285, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0907, s2.loss_cls: 0.0335, s2.acc: 95.0177, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0428, loss: 1.0097 2022-09-14 03:28:14,484 - mmdet - INFO - Epoch [17][2800/7330] lr: 1.000e-04, eta: 2 days, 6:42:42, time: 1.347, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1775, s0.loss_cls: 0.1345, s0.acc: 95.1060, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1902, s1.loss_cls: 0.0630, s1.acc: 95.3947, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0909, s2.loss_cls: 0.0324, s2.acc: 95.2056, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0429, loss: 0.9934 2022-09-14 03:29:22,885 - mmdet - INFO - Epoch [17][2850/7330] lr: 1.000e-04, eta: 2 days, 6:41:34, time: 1.368, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1304, s0.acc: 95.1548, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1938, s1.loss_cls: 0.0636, s1.acc: 95.3372, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0914, s2.loss_cls: 0.0327, s2.acc: 95.0242, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0429, loss: 0.9934 2022-09-14 03:30:31,355 - mmdet - INFO - Epoch [17][2900/7330] lr: 1.000e-04, eta: 2 days, 6:40:25, time: 1.369, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1303, s0.acc: 95.2065, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1944, s1.loss_cls: 0.0640, s1.acc: 95.3011, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0924, s2.loss_cls: 0.0327, s2.acc: 95.1155, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0433, loss: 0.9800 2022-09-14 03:31:39,601 - mmdet - INFO - Epoch [17][2950/7330] lr: 1.000e-04, eta: 2 days, 6:39:16, time: 1.365, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1315, s0.acc: 95.1611, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1874, s1.loss_cls: 0.0635, s1.acc: 95.3844, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0884, s2.loss_cls: 0.0325, s2.acc: 95.1762, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0417, loss: 0.9741 2022-09-14 03:32:48,930 - mmdet - INFO - Epoch [17][3000/7330] lr: 1.000e-04, eta: 2 days, 6:38:09, time: 1.387, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1343, s0.acc: 95.0898, s0.loss_bbox: 0.0764, s0.loss_mask: 0.1912, s1.loss_cls: 0.0637, s1.acc: 95.3512, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0903, s2.loss_cls: 0.0323, s2.acc: 95.2492, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0426, loss: 0.9981 2022-09-14 03:33:57,039 - mmdet - INFO - Epoch [17][3050/7330] lr: 1.000e-04, eta: 2 days, 6:37:00, time: 1.362, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1743, s0.loss_cls: 0.1251, s0.acc: 95.4336, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1812, s1.loss_cls: 0.0595, s1.acc: 95.6323, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0857, s2.loss_cls: 0.0299, s2.acc: 95.4928, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0405, loss: 0.9421 2022-09-14 03:35:05,388 - mmdet - INFO - Epoch [17][3100/7330] lr: 1.000e-04, eta: 2 days, 6:35:51, time: 1.367, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1354, s0.acc: 95.1843, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1853, s1.loss_cls: 0.0642, s1.acc: 95.4100, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0877, s2.loss_cls: 0.0328, s2.acc: 95.2290, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0415, loss: 0.9708 2022-09-14 03:36:14,404 - mmdet - INFO - Epoch [17][3150/7330] lr: 1.000e-04, eta: 2 days, 6:34:43, time: 1.380, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1274, s0.acc: 95.3523, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1892, s1.loss_cls: 0.0604, s1.acc: 95.5455, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0894, s2.loss_cls: 0.0309, s2.acc: 95.3825, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0425, loss: 0.9725 2022-09-14 03:37:21,465 - mmdet - INFO - Epoch [17][3200/7330] lr: 1.000e-04, eta: 2 days, 6:33:33, time: 1.341, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1237, s0.acc: 95.4827, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1768, s1.loss_cls: 0.0590, s1.acc: 95.6620, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0835, s2.loss_cls: 0.0305, s2.acc: 95.4268, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0395, loss: 0.9232 2022-09-14 03:38:30,109 - mmdet - INFO - Epoch [17][3250/7330] lr: 1.000e-04, eta: 2 days, 6:32:25, time: 1.373, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1819, s0.loss_cls: 0.1359, s0.acc: 95.0151, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1915, s1.loss_cls: 0.0637, s1.acc: 95.3092, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0898, s2.loss_cls: 0.0328, s2.acc: 95.1069, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0424, loss: 1.0015 2022-09-14 03:39:38,557 - mmdet - INFO - Epoch [17][3300/7330] lr: 1.000e-04, eta: 2 days, 6:31:16, time: 1.369, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1308, s0.acc: 95.3115, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1892, s1.loss_cls: 0.0620, s1.acc: 95.5697, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0893, s2.loss_cls: 0.0317, s2.acc: 95.4041, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0424, loss: 0.9688 2022-09-14 03:40:46,568 - mmdet - INFO - Epoch [17][3350/7330] lr: 1.000e-04, eta: 2 days, 6:30:07, time: 1.360, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1679, s0.loss_cls: 0.1287, s0.acc: 95.2549, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1871, s1.loss_cls: 0.0612, s1.acc: 95.4867, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0884, s2.loss_cls: 0.0311, s2.acc: 95.3464, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0416, loss: 0.9554 2022-09-14 03:41:54,813 - mmdet - INFO - Epoch [17][3400/7330] lr: 1.000e-04, eta: 2 days, 6:28:59, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1279, s0.acc: 95.3269, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1872, s1.loss_cls: 0.0608, s1.acc: 95.5916, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0886, s2.loss_cls: 0.0312, s2.acc: 95.3885, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0420, loss: 0.9507 2022-09-14 03:43:01,827 - mmdet - INFO - Epoch [17][3450/7330] lr: 1.000e-04, eta: 2 days, 6:27:48, time: 1.340, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1732, s0.loss_cls: 0.1218, s0.acc: 95.5806, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1904, s1.loss_cls: 0.0586, s1.acc: 95.7961, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0902, s2.loss_cls: 0.0304, s2.acc: 95.5207, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0426, loss: 0.9532 2022-09-14 03:44:09,977 - mmdet - INFO - Epoch [17][3500/7330] lr: 1.000e-04, eta: 2 days, 6:26:39, time: 1.363, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1278, s0.acc: 95.2717, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1905, s1.loss_cls: 0.0609, s1.acc: 95.4693, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0907, s2.loss_cls: 0.0314, s2.acc: 95.2658, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0429, loss: 0.9766 2022-09-14 03:45:18,037 - mmdet - INFO - Epoch [17][3550/7330] lr: 1.000e-04, eta: 2 days, 6:25:30, time: 1.361, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1811, s0.loss_cls: 0.1401, s0.acc: 94.8594, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1933, s1.loss_cls: 0.0680, s1.acc: 95.0596, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0909, s2.loss_cls: 0.0348, s2.acc: 94.8438, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0428, loss: 1.0128 2022-09-14 03:46:27,369 - mmdet - INFO - Epoch [17][3600/7330] lr: 1.000e-04, eta: 2 days, 6:24:23, time: 1.387, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1292, s0.acc: 95.2720, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1860, s1.loss_cls: 0.0614, s1.acc: 95.4076, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0883, s2.loss_cls: 0.0321, s2.acc: 95.2247, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0419, loss: 0.9629 2022-09-14 03:47:36,205 - mmdet - INFO - Epoch [17][3650/7330] lr: 1.000e-04, eta: 2 days, 6:23:15, time: 1.377, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1296, s0.acc: 95.2017, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1906, s1.loss_cls: 0.0616, s1.acc: 95.4255, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0900, s2.loss_cls: 0.0313, s2.acc: 95.2902, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0426, loss: 0.9832 2022-09-14 03:48:44,211 - mmdet - INFO - Epoch [17][3700/7330] lr: 1.000e-04, eta: 2 days, 6:22:06, time: 1.360, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1657, s0.loss_cls: 0.1265, s0.acc: 95.4031, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1860, s1.loss_cls: 0.0586, s1.acc: 95.6973, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0888, s2.loss_cls: 0.0302, s2.acc: 95.4087, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0419, loss: 0.9501 2022-09-14 03:49:53,106 - mmdet - INFO - Epoch [17][3750/7330] lr: 1.000e-04, eta: 2 days, 6:20:58, time: 1.378, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1274, s0.acc: 95.3477, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1866, s1.loss_cls: 0.0610, s1.acc: 95.5973, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0876, s2.loss_cls: 0.0312, s2.acc: 95.4477, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0415, loss: 0.9614 2022-09-14 03:51:03,014 - mmdet - INFO - Epoch [17][3800/7330] lr: 1.000e-04, eta: 2 days, 6:19:51, time: 1.398, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1724, s0.loss_cls: 0.1387, s0.acc: 95.1365, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1931, s1.loss_cls: 0.0651, s1.acc: 95.4647, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0918, s2.loss_cls: 0.0333, s2.acc: 95.2625, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0434, loss: 1.0066 2022-09-14 03:52:11,607 - mmdet - INFO - Epoch [17][3850/7330] lr: 1.000e-04, eta: 2 days, 6:18:43, time: 1.372, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1677, s0.loss_cls: 0.1356, s0.acc: 95.0415, s0.loss_bbox: 0.0776, s0.loss_mask: 0.1926, s1.loss_cls: 0.0643, s1.acc: 95.2710, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0913, s2.loss_cls: 0.0337, s2.acc: 94.9139, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0428, loss: 0.9988 2022-09-14 03:53:20,277 - mmdet - INFO - Epoch [17][3900/7330] lr: 1.000e-04, eta: 2 days, 6:17:34, time: 1.374, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1383, s0.acc: 95.0486, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1890, s1.loss_cls: 0.0655, s1.acc: 95.3367, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0891, s2.loss_cls: 0.0338, s2.acc: 95.0342, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0420, loss: 0.9996 2022-09-14 03:54:29,372 - mmdet - INFO - Epoch [17][3950/7330] lr: 1.000e-04, eta: 2 days, 6:16:27, time: 1.382, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1753, s0.loss_cls: 0.1261, s0.acc: 95.3975, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1856, s1.loss_cls: 0.0600, s1.acc: 95.6137, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0866, s2.loss_cls: 0.0312, s2.acc: 95.3807, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0409, loss: 0.9554 2022-09-14 03:55:37,341 - mmdet - INFO - Epoch [17][4000/7330] lr: 1.000e-04, eta: 2 days, 6:15:18, time: 1.359, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1412, s0.acc: 94.8506, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1962, s1.loss_cls: 0.0684, s1.acc: 95.0731, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0918, s2.loss_cls: 0.0345, s2.acc: 94.8907, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0434, loss: 1.0236 2022-09-14 03:56:46,026 - mmdet - INFO - Epoch [17][4050/7330] lr: 1.000e-04, eta: 2 days, 6:14:09, time: 1.374, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1687, s0.loss_cls: 0.1238, s0.acc: 95.4529, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1907, s1.loss_cls: 0.0586, s1.acc: 95.7155, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0903, s2.loss_cls: 0.0307, s2.acc: 95.4717, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0429, loss: 0.9599 2022-09-14 03:57:54,219 - mmdet - INFO - Epoch [17][4100/7330] lr: 1.000e-04, eta: 2 days, 6:13:01, time: 1.364, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1241, s0.acc: 95.4412, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1905, s1.loss_cls: 0.0588, s1.acc: 95.6736, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0908, s2.loss_cls: 0.0305, s2.acc: 95.3895, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0431, loss: 0.9501 2022-09-14 03:59:02,927 - mmdet - INFO - Epoch [17][4150/7330] lr: 1.000e-04, eta: 2 days, 6:11:52, time: 1.374, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1717, s0.loss_cls: 0.1209, s0.acc: 95.5898, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1863, s1.loss_cls: 0.0565, s1.acc: 95.9162, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0884, s2.loss_cls: 0.0289, s2.acc: 95.6756, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0420, loss: 0.9345 2022-09-14 04:00:10,715 - mmdet - INFO - Epoch [17][4200/7330] lr: 1.000e-04, eta: 2 days, 6:10:43, time: 1.356, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1802, s0.loss_cls: 0.1287, s0.acc: 95.3232, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1916, s1.loss_cls: 0.0618, s1.acc: 95.5132, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0912, s2.loss_cls: 0.0322, s2.acc: 95.2834, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0430, loss: 0.9858 2022-09-14 04:01:18,127 - mmdet - INFO - Epoch [17][4250/7330] lr: 1.000e-04, eta: 2 days, 6:09:33, time: 1.348, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1301, s0.acc: 95.2964, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1870, s1.loss_cls: 0.0624, s1.acc: 95.4065, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0889, s2.loss_cls: 0.0321, s2.acc: 95.1881, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0418, loss: 0.9822 2022-09-14 04:02:26,774 - mmdet - INFO - Epoch [17][4300/7330] lr: 1.000e-04, eta: 2 days, 6:08:25, time: 1.373, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1329, s0.acc: 95.0732, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1874, s1.loss_cls: 0.0638, s1.acc: 95.2715, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0882, s2.loss_cls: 0.0323, s2.acc: 95.1750, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0416, loss: 0.9748 2022-09-14 04:03:35,209 - mmdet - INFO - Epoch [17][4350/7330] lr: 1.000e-04, eta: 2 days, 6:07:16, time: 1.369, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1745, s0.loss_cls: 0.1407, s0.acc: 94.9629, s0.loss_bbox: 0.0803, s0.loss_mask: 0.1953, s1.loss_cls: 0.0659, s1.acc: 95.2617, s1.loss_bbox: 0.0902, s1.loss_mask: 0.0923, s2.loss_cls: 0.0331, s2.acc: 95.1428, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0433, loss: 1.0219 2022-09-14 04:04:43,318 - mmdet - INFO - Epoch [17][4400/7330] lr: 1.000e-04, eta: 2 days, 6:06:08, time: 1.362, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1402, s0.acc: 94.8157, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1949, s1.loss_cls: 0.0677, s1.acc: 95.0127, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0920, s2.loss_cls: 0.0347, s2.acc: 94.7441, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0432, loss: 1.0178 2022-09-14 04:05:52,839 - mmdet - INFO - Epoch [17][4450/7330] lr: 1.000e-04, eta: 2 days, 6:05:00, time: 1.390, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1398, s0.acc: 94.8721, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1935, s1.loss_cls: 0.0679, s1.acc: 94.9776, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0923, s2.loss_cls: 0.0351, s2.acc: 94.7705, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0436, loss: 1.0231 2022-09-14 04:07:00,962 - mmdet - INFO - Epoch [17][4500/7330] lr: 1.000e-04, eta: 2 days, 6:03:51, time: 1.361, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1312, s0.acc: 95.2383, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1902, s1.loss_cls: 0.0628, s1.acc: 95.3913, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0898, s2.loss_cls: 0.0329, s2.acc: 95.0672, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0425, loss: 0.9808 2022-09-14 04:08:10,034 - mmdet - INFO - Epoch [17][4550/7330] lr: 1.000e-04, eta: 2 days, 6:02:44, time: 1.383, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1363, s0.acc: 94.9922, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1901, s1.loss_cls: 0.0650, s1.acc: 95.1405, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0898, s2.loss_cls: 0.0336, s2.acc: 94.9975, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0426, loss: 0.9955 2022-09-14 04:09:17,551 - mmdet - INFO - Epoch [17][4600/7330] lr: 1.000e-04, eta: 2 days, 6:01:34, time: 1.350, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1326, s0.acc: 95.2441, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1921, s1.loss_cls: 0.0629, s1.acc: 95.5231, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0905, s2.loss_cls: 0.0320, s2.acc: 95.3787, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0428, loss: 0.9899 2022-09-14 04:10:25,142 - mmdet - INFO - Epoch [17][4650/7330] lr: 1.000e-04, eta: 2 days, 6:00:24, time: 1.352, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1352, s0.acc: 95.1582, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1884, s1.loss_cls: 0.0644, s1.acc: 95.3903, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0889, s2.loss_cls: 0.0328, s2.acc: 95.2102, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0422, loss: 0.9843 2022-09-14 04:11:33,425 - mmdet - INFO - Epoch [17][4700/7330] lr: 1.000e-04, eta: 2 days, 5:59:16, time: 1.364, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1267, s0.acc: 95.3811, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1926, s1.loss_cls: 0.0594, s1.acc: 95.7383, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0903, s2.loss_cls: 0.0310, s2.acc: 95.4368, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0429, loss: 0.9816 2022-09-14 04:12:42,252 - mmdet - INFO - Epoch [17][4750/7330] lr: 1.000e-04, eta: 2 days, 5:58:08, time: 1.378, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1319, s0.acc: 95.2363, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1887, s1.loss_cls: 0.0619, s1.acc: 95.6358, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0880, s2.loss_cls: 0.0314, s2.acc: 95.4729, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0412, loss: 0.9808 2022-09-14 04:13:50,047 - mmdet - INFO - Epoch [17][4800/7330] lr: 1.000e-04, eta: 2 days, 5:56:58, time: 1.356, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1377, s0.acc: 94.9292, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1907, s1.loss_cls: 0.0660, s1.acc: 95.1175, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0896, s2.loss_cls: 0.0340, s2.acc: 94.9081, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0422, loss: 0.9946 2022-09-14 04:14:58,271 - mmdet - INFO - Epoch [17][4850/7330] lr: 1.000e-04, eta: 2 days, 5:55:50, time: 1.364, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1834, s0.loss_cls: 0.1260, s0.acc: 95.3699, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1830, s1.loss_cls: 0.0592, s1.acc: 95.6633, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0864, s2.loss_cls: 0.0305, s2.acc: 95.4448, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0408, loss: 0.9544 2022-09-14 04:16:06,265 - mmdet - INFO - Epoch [17][4900/7330] lr: 1.000e-04, eta: 2 days, 5:54:40, time: 1.360, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1265, s0.acc: 95.3479, s0.loss_bbox: 0.0714, s0.loss_mask: 0.1917, s1.loss_cls: 0.0611, s1.acc: 95.5635, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0911, s2.loss_cls: 0.0316, s2.acc: 95.2308, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0434, loss: 0.9697 2022-09-14 04:17:14,663 - mmdet - INFO - Epoch [17][4950/7330] lr: 1.000e-04, eta: 2 days, 5:53:32, time: 1.368, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1758, s0.loss_cls: 0.1374, s0.acc: 95.0359, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1918, s1.loss_cls: 0.0649, s1.acc: 95.3011, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0904, s2.loss_cls: 0.0340, s2.acc: 95.0287, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0428, loss: 1.0082 2022-09-14 04:18:22,481 - mmdet - INFO - Epoch [17][5000/7330] lr: 1.000e-04, eta: 2 days, 5:52:23, time: 1.356, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1270, s0.acc: 95.3513, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1877, s1.loss_cls: 0.0609, s1.acc: 95.5839, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0891, s2.loss_cls: 0.0312, s2.acc: 95.3163, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0422, loss: 0.9486 2022-09-14 04:19:30,489 - mmdet - INFO - Epoch [17][5050/7330] lr: 1.000e-04, eta: 2 days, 5:51:14, time: 1.359, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1318, s0.acc: 95.1677, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1911, s1.loss_cls: 0.0635, s1.acc: 95.3150, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0894, s2.loss_cls: 0.0324, s2.acc: 95.1166, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0422, loss: 0.9855 2022-09-14 04:20:39,472 - mmdet - INFO - Epoch [17][5100/7330] lr: 1.000e-04, eta: 2 days, 5:50:06, time: 1.381, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1334, s0.acc: 95.1221, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1924, s1.loss_cls: 0.0635, s1.acc: 95.3936, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0897, s2.loss_cls: 0.0327, s2.acc: 95.1853, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0424, loss: 0.9855 2022-09-14 04:21:47,969 - mmdet - INFO - Epoch [17][5150/7330] lr: 1.000e-04, eta: 2 days, 5:48:57, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1769, s0.loss_cls: 0.1401, s0.acc: 94.9202, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1925, s1.loss_cls: 0.0661, s1.acc: 95.1931, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0914, s2.loss_cls: 0.0335, s2.acc: 95.1094, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0435, loss: 1.0037 2022-09-14 04:22:56,833 - mmdet - INFO - Epoch [17][5200/7330] lr: 1.000e-04, eta: 2 days, 5:47:49, time: 1.376, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1758, s0.loss_cls: 0.1362, s0.acc: 95.1006, s0.loss_bbox: 0.0764, s0.loss_mask: 0.1942, s1.loss_cls: 0.0653, s1.acc: 95.2769, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0913, s2.loss_cls: 0.0337, s2.acc: 95.1105, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0430, loss: 1.0066 2022-09-14 04:24:05,175 - mmdet - INFO - Epoch [17][5250/7330] lr: 1.000e-04, eta: 2 days, 5:46:41, time: 1.368, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1705, s0.loss_cls: 0.1300, s0.acc: 95.1223, s0.loss_bbox: 0.0771, s0.loss_mask: 0.1965, s1.loss_cls: 0.0625, s1.acc: 95.3019, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0937, s2.loss_cls: 0.0320, s2.acc: 95.1348, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0441, loss: 0.9926 2022-09-14 04:25:13,657 - mmdet - INFO - Epoch [17][5300/7330] lr: 1.000e-04, eta: 2 days, 5:45:32, time: 1.368, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1316, s0.acc: 95.1904, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1948, s1.loss_cls: 0.0624, s1.acc: 95.4444, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0918, s2.loss_cls: 0.0318, s2.acc: 95.3371, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0433, loss: 0.9945 2022-09-14 04:26:21,396 - mmdet - INFO - Epoch [17][5350/7330] lr: 1.000e-04, eta: 2 days, 5:44:23, time: 1.356, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1717, s0.loss_cls: 0.1306, s0.acc: 95.1411, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1880, s1.loss_cls: 0.0622, s1.acc: 95.4102, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0891, s2.loss_cls: 0.0314, s2.acc: 95.2431, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0418, loss: 0.9686 2022-09-14 04:27:29,869 - mmdet - INFO - Epoch [17][5400/7330] lr: 1.000e-04, eta: 2 days, 5:43:14, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1331, s0.acc: 95.1829, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1889, s1.loss_cls: 0.0634, s1.acc: 95.4213, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0889, s2.loss_cls: 0.0324, s2.acc: 95.2208, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0423, loss: 0.9807 2022-09-14 04:28:38,551 - mmdet - INFO - Epoch [17][5450/7330] lr: 1.000e-04, eta: 2 days, 5:42:06, time: 1.374, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1744, s0.loss_cls: 0.1326, s0.acc: 95.0801, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1858, s1.loss_cls: 0.0626, s1.acc: 95.3589, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0885, s2.loss_cls: 0.0323, s2.acc: 95.0401, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0418, loss: 0.9854 2022-09-14 04:29:47,019 - mmdet - INFO - Epoch [17][5500/7330] lr: 1.000e-04, eta: 2 days, 5:40:57, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1713, s0.loss_cls: 0.1276, s0.acc: 95.2988, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1869, s1.loss_cls: 0.0606, s1.acc: 95.5676, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0885, s2.loss_cls: 0.0309, s2.acc: 95.4352, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0420, loss: 0.9591 2022-09-14 04:30:54,443 - mmdet - INFO - Epoch [17][5550/7330] lr: 1.000e-04, eta: 2 days, 5:39:48, time: 1.348, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1837, s0.loss_cls: 0.1377, s0.acc: 94.9966, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1840, s1.loss_cls: 0.0648, s1.acc: 95.1972, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0868, s2.loss_cls: 0.0331, s2.acc: 95.0902, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0409, loss: 0.9847 2022-09-14 04:32:02,328 - mmdet - INFO - Epoch [17][5600/7330] lr: 1.000e-04, eta: 2 days, 5:38:39, time: 1.358, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1776, s0.loss_cls: 0.1314, s0.acc: 95.2090, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1914, s1.loss_cls: 0.0622, s1.acc: 95.4714, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0903, s2.loss_cls: 0.0320, s2.acc: 95.2395, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0425, loss: 0.9849 2022-09-14 04:33:10,296 - mmdet - INFO - Epoch [17][5650/7330] lr: 1.000e-04, eta: 2 days, 5:37:30, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1746, s0.loss_cls: 0.1342, s0.acc: 95.0718, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1973, s1.loss_cls: 0.0651, s1.acc: 95.2416, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0936, s2.loss_cls: 0.0332, s2.acc: 95.0264, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0441, loss: 1.0095 2022-09-14 04:34:18,709 - mmdet - INFO - Epoch [17][5700/7330] lr: 1.000e-04, eta: 2 days, 5:36:21, time: 1.368, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1791, s0.loss_cls: 0.1282, s0.acc: 95.3806, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1812, s1.loss_cls: 0.0620, s1.acc: 95.4786, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0861, s2.loss_cls: 0.0317, s2.acc: 95.3806, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0408, loss: 0.9552 2022-09-14 04:35:27,488 - mmdet - INFO - Epoch [17][5750/7330] lr: 1.000e-04, eta: 2 days, 5:35:13, time: 1.376, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1739, s0.loss_cls: 0.1370, s0.acc: 94.9883, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1945, s1.loss_cls: 0.0666, s1.acc: 95.1415, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0922, s2.loss_cls: 0.0340, s2.acc: 95.0348, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0431, loss: 1.0167 2022-09-14 04:36:35,794 - mmdet - INFO - Epoch [17][5800/7330] lr: 1.000e-04, eta: 2 days, 5:34:04, time: 1.366, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1847, s0.loss_cls: 0.1302, s0.acc: 95.3477, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1905, s1.loss_cls: 0.0626, s1.acc: 95.5116, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0895, s2.loss_cls: 0.0326, s2.acc: 95.2148, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0432, loss: 0.9874 2022-09-14 04:37:43,234 - mmdet - INFO - Epoch [17][5850/7330] lr: 1.000e-04, eta: 2 days, 5:32:54, time: 1.349, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1788, s0.loss_cls: 0.1286, s0.acc: 95.2939, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1916, s1.loss_cls: 0.0624, s1.acc: 95.4863, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0904, s2.loss_cls: 0.0318, s2.acc: 95.3280, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0428, loss: 0.9749 2022-09-14 04:38:50,986 - mmdet - INFO - Epoch [17][5900/7330] lr: 1.000e-04, eta: 2 days, 5:31:45, time: 1.353, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1800, s0.loss_cls: 0.1415, s0.acc: 94.9136, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1930, s1.loss_cls: 0.0676, s1.acc: 95.0993, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0908, s2.loss_cls: 0.0344, s2.acc: 94.9519, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0430, loss: 1.0153 2022-09-14 04:39:58,727 - mmdet - INFO - Epoch [17][5950/7330] lr: 1.000e-04, eta: 2 days, 5:30:36, time: 1.357, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1752, s0.loss_cls: 0.1305, s0.acc: 95.3879, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1868, s1.loss_cls: 0.0621, s1.acc: 95.6656, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0882, s2.loss_cls: 0.0317, s2.acc: 95.4258, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0416, loss: 0.9650 2022-09-14 04:41:07,878 - mmdet - INFO - Epoch [17][6000/7330] lr: 1.000e-04, eta: 2 days, 5:29:28, time: 1.381, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1848, s0.loss_cls: 0.1451, s0.acc: 94.8081, s0.loss_bbox: 0.0794, s0.loss_mask: 0.1984, s1.loss_cls: 0.0704, s1.acc: 94.9995, s1.loss_bbox: 0.0907, s1.loss_mask: 0.0927, s2.loss_cls: 0.0359, s2.acc: 94.6939, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0436, loss: 1.0493 2022-09-14 04:42:15,825 - mmdet - INFO - Epoch [17][6050/7330] lr: 1.000e-04, eta: 2 days, 5:28:19, time: 1.360, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1785, s0.loss_cls: 0.1336, s0.acc: 95.1677, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1892, s1.loss_cls: 0.0643, s1.acc: 95.3809, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0881, s2.loss_cls: 0.0327, s2.acc: 95.1209, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0417, loss: 0.9864 2022-09-14 04:43:24,468 - mmdet - INFO - Epoch [17][6100/7330] lr: 1.000e-04, eta: 2 days, 5:27:11, time: 1.373, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1320, s0.acc: 95.1089, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1854, s1.loss_cls: 0.0632, s1.acc: 95.2937, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0879, s2.loss_cls: 0.0330, s2.acc: 95.0111, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0416, loss: 0.9821 2022-09-14 04:44:32,701 - mmdet - INFO - Epoch [17][6150/7330] lr: 1.000e-04, eta: 2 days, 5:26:02, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1380, s0.acc: 94.9817, s0.loss_bbox: 0.0775, s0.loss_mask: 0.1860, s1.loss_cls: 0.0665, s1.acc: 95.1522, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0877, s2.loss_cls: 0.0339, s2.acc: 94.8917, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0411, loss: 0.9993 2022-09-14 04:45:40,827 - mmdet - INFO - Epoch [17][6200/7330] lr: 1.000e-04, eta: 2 days, 5:24:53, time: 1.362, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1715, s0.loss_cls: 0.1355, s0.acc: 95.1589, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1909, s1.loss_cls: 0.0654, s1.acc: 95.3545, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0904, s2.loss_cls: 0.0335, s2.acc: 95.1753, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0425, loss: 0.9916 2022-09-14 04:46:48,687 - mmdet - INFO - Epoch [17][6250/7330] lr: 1.000e-04, eta: 2 days, 5:23:44, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1634, s0.loss_cls: 0.1312, s0.acc: 95.1799, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1859, s1.loss_cls: 0.0634, s1.acc: 95.3074, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0885, s2.loss_cls: 0.0328, s2.acc: 95.0387, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0417, loss: 0.9665 2022-09-14 04:47:55,895 - mmdet - INFO - Epoch [17][6300/7330] lr: 1.000e-04, eta: 2 days, 5:22:34, time: 1.344, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1744, s0.loss_cls: 0.1301, s0.acc: 95.3110, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1927, s1.loss_cls: 0.0606, s1.acc: 95.6226, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0909, s2.loss_cls: 0.0316, s2.acc: 95.3738, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0432, loss: 0.9822 2022-09-14 04:49:04,529 - mmdet - INFO - Epoch [17][6350/7330] lr: 1.000e-04, eta: 2 days, 5:21:26, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1759, s0.loss_cls: 0.1312, s0.acc: 95.3186, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1910, s1.loss_cls: 0.0636, s1.acc: 95.4432, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0895, s2.loss_cls: 0.0322, s2.acc: 95.2535, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0419, loss: 0.9795 2022-09-14 04:50:12,424 - mmdet - INFO - Epoch [17][6400/7330] lr: 1.000e-04, eta: 2 days, 5:20:17, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1698, s0.loss_cls: 0.1299, s0.acc: 95.2632, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1893, s1.loss_cls: 0.0622, s1.acc: 95.4902, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0897, s2.loss_cls: 0.0320, s2.acc: 95.2330, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0424, loss: 0.9736 2022-09-14 04:51:21,401 - mmdet - INFO - Epoch [17][6450/7330] lr: 1.000e-04, eta: 2 days, 5:19:09, time: 1.379, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1319, s0.acc: 95.2087, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1881, s1.loss_cls: 0.0635, s1.acc: 95.3363, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0883, s2.loss_cls: 0.0330, s2.acc: 95.1786, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0419, loss: 0.9701 2022-09-14 04:52:29,593 - mmdet - INFO - Epoch [17][6500/7330] lr: 1.000e-04, eta: 2 days, 5:18:00, time: 1.364, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1753, s0.loss_cls: 0.1301, s0.acc: 95.2695, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1874, s1.loss_cls: 0.0620, s1.acc: 95.5638, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0880, s2.loss_cls: 0.0312, s2.acc: 95.4015, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0417, loss: 0.9694 2022-09-14 04:53:37,811 - mmdet - INFO - Epoch [17][6550/7330] lr: 1.000e-04, eta: 2 days, 5:16:51, time: 1.364, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1731, s0.loss_cls: 0.1403, s0.acc: 94.8828, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1972, s1.loss_cls: 0.0677, s1.acc: 95.0225, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0926, s2.loss_cls: 0.0346, s2.acc: 94.7800, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0440, loss: 1.0175 2022-09-14 04:54:46,479 - mmdet - INFO - Epoch [17][6600/7330] lr: 1.000e-04, eta: 2 days, 5:15:43, time: 1.373, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1873, s0.loss_cls: 0.1257, s0.acc: 95.4517, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1824, s1.loss_cls: 0.0593, s1.acc: 95.6992, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0856, s2.loss_cls: 0.0311, s2.acc: 95.3744, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0405, loss: 0.9534 2022-09-14 04:55:55,374 - mmdet - INFO - Epoch [17][6650/7330] lr: 1.000e-04, eta: 2 days, 5:14:35, time: 1.378, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1776, s0.loss_cls: 0.1205, s0.acc: 95.6218, s0.loss_bbox: 0.0656, s0.loss_mask: 0.1799, s1.loss_cls: 0.0579, s1.acc: 95.7800, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0852, s2.loss_cls: 0.0296, s2.acc: 95.5829, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0405, loss: 0.9222 2022-09-14 04:57:04,186 - mmdet - INFO - Epoch [17][6700/7330] lr: 1.000e-04, eta: 2 days, 5:13:27, time: 1.376, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1812, s0.loss_cls: 0.1320, s0.acc: 95.2625, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1889, s1.loss_cls: 0.0628, s1.acc: 95.5051, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0882, s2.loss_cls: 0.0323, s2.acc: 95.3679, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0417, loss: 0.9865 2022-09-14 04:58:13,225 - mmdet - INFO - Epoch [17][6750/7330] lr: 1.000e-04, eta: 2 days, 5:12:19, time: 1.381, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1746, s0.loss_cls: 0.1290, s0.acc: 95.2805, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1884, s1.loss_cls: 0.0624, s1.acc: 95.3963, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0894, s2.loss_cls: 0.0315, s2.acc: 95.2005, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0426, loss: 0.9759 2022-09-14 04:59:22,100 - mmdet - INFO - Epoch [17][6800/7330] lr: 1.000e-04, eta: 2 days, 5:11:11, time: 1.378, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1782, s0.loss_cls: 0.1372, s0.acc: 94.9749, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1954, s1.loss_cls: 0.0658, s1.acc: 95.1872, s1.loss_bbox: 0.0904, s1.loss_mask: 0.0916, s2.loss_cls: 0.0337, s2.acc: 94.9313, s2.loss_bbox: 0.0581, s2.loss_mask: 0.0433, loss: 1.0190 2022-09-14 05:00:30,921 - mmdet - INFO - Epoch [17][6850/7330] lr: 1.000e-04, eta: 2 days, 5:10:03, time: 1.376, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1788, s0.loss_cls: 0.1288, s0.acc: 95.3469, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1865, s1.loss_cls: 0.0610, s1.acc: 95.5995, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0880, s2.loss_cls: 0.0308, s2.acc: 95.4156, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0415, loss: 0.9619 2022-09-14 05:01:40,034 - mmdet - INFO - Epoch [17][6900/7330] lr: 1.000e-04, eta: 2 days, 5:08:55, time: 1.382, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1352, s0.acc: 95.0754, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1881, s1.loss_cls: 0.0648, s1.acc: 95.2863, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0886, s2.loss_cls: 0.0332, s2.acc: 95.0356, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0419, loss: 0.9830 2022-09-14 05:02:50,693 - mmdet - INFO - Epoch [17][6950/7330] lr: 1.000e-04, eta: 2 days, 5:07:49, time: 1.413, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1687, s0.loss_cls: 0.1358, s0.acc: 95.0312, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1878, s1.loss_cls: 0.0645, s1.acc: 95.2794, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0892, s2.loss_cls: 0.0333, s2.acc: 95.0643, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0423, loss: 0.9801 2022-09-14 05:03:59,508 - mmdet - INFO - Epoch [17][7000/7330] lr: 1.000e-04, eta: 2 days, 5:06:41, time: 1.376, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1361, s0.acc: 95.1191, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1890, s1.loss_cls: 0.0657, s1.acc: 95.2816, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0894, s2.loss_cls: 0.0334, s2.acc: 95.1379, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0423, loss: 0.9929 2022-09-14 05:05:09,357 - mmdet - INFO - Epoch [17][7050/7330] lr: 1.000e-04, eta: 2 days, 5:05:34, time: 1.397, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1698, s0.loss_cls: 0.1295, s0.acc: 95.2219, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1907, s1.loss_cls: 0.0613, s1.acc: 95.5038, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0898, s2.loss_cls: 0.0313, s2.acc: 95.2027, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0421, loss: 0.9790 2022-09-14 05:06:16,987 - mmdet - INFO - Epoch [17][7100/7330] lr: 1.000e-04, eta: 2 days, 5:04:24, time: 1.351, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1758, s0.loss_cls: 0.1322, s0.acc: 95.1633, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1890, s1.loss_cls: 0.0625, s1.acc: 95.4154, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0891, s2.loss_cls: 0.0318, s2.acc: 95.1621, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0421, loss: 0.9825 2022-09-14 05:07:24,947 - mmdet - INFO - Epoch [17][7150/7330] lr: 1.000e-04, eta: 2 days, 5:03:15, time: 1.361, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1308, s0.acc: 95.1755, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1899, s1.loss_cls: 0.0632, s1.acc: 95.2931, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0899, s2.loss_cls: 0.0323, s2.acc: 95.1168, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0420, loss: 0.9812 2022-09-14 05:08:33,563 - mmdet - INFO - Epoch [17][7200/7330] lr: 1.000e-04, eta: 2 days, 5:02:07, time: 1.372, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1822, s0.loss_cls: 0.1305, s0.acc: 95.2747, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1887, s1.loss_cls: 0.0620, s1.acc: 95.5383, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0895, s2.loss_cls: 0.0318, s2.acc: 95.3086, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0423, loss: 0.9868 2022-09-14 05:09:42,151 - mmdet - INFO - Epoch [17][7250/7330] lr: 1.000e-04, eta: 2 days, 5:00:59, time: 1.372, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1271, s0.acc: 95.3254, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1921, s1.loss_cls: 0.0602, s1.acc: 95.5356, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0912, s2.loss_cls: 0.0310, s2.acc: 95.4176, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0434, loss: 0.9685 2022-09-14 05:10:50,445 - mmdet - INFO - Epoch [17][7300/7330] lr: 1.000e-04, eta: 2 days, 4:59:50, time: 1.366, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1820, s0.loss_cls: 0.1389, s0.acc: 94.9502, s0.loss_bbox: 0.0780, s0.loss_mask: 0.1953, s1.loss_cls: 0.0675, s1.acc: 95.1574, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0925, s2.loss_cls: 0.0349, s2.acc: 94.9524, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0438, loss: 1.0259 2022-09-14 05:11:41,473 - mmdet - INFO - Saving checkpoint at 17 epochs 2022-09-14 05:15:56,381 - mmdet - INFO - Evaluating bbox... 2022-09-14 05:16:59,514 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.564 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.752 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.624 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.414 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.605 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.686 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.736 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.736 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.736 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.773 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.861 2022-09-14 05:16:59,514 - mmdet - INFO - Evaluating segm... 2022-09-14 05:18:10,134 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.492 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.732 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.542 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.307 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.530 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.672 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.642 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.642 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.642 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.482 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.679 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.783 2022-09-14 05:18:11,604 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 05:18:11,607 - mmdet - INFO - Epoch(val) [17][313] bbox_mAP: 0.5640, bbox_mAP_50: 0.7520, bbox_mAP_75: 0.6240, bbox_mAP_s: 0.4140, bbox_mAP_m: 0.6050, bbox_mAP_l: 0.6860, bbox_mAP_copypaste: 0.564 0.752 0.624 0.414 0.605 0.686, segm_mAP: 0.4920, segm_mAP_50: 0.7320, segm_mAP_75: 0.5420, segm_mAP_s: 0.3070, segm_mAP_m: 0.5300, segm_mAP_l: 0.6720, segm_mAP_copypaste: 0.492 0.732 0.542 0.307 0.530 0.672 2022-09-14 05:21:23,949 - mmdet - INFO - Epoch [18][50/7330] lr: 1.000e-04, eta: 2 days, 4:59:33, time: 3.845, data_time: 2.457, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1665, s0.loss_cls: 0.1306, s0.acc: 95.1965, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1849, s1.loss_cls: 0.0622, s1.acc: 95.4166, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0875, s2.loss_cls: 0.0319, s2.acc: 95.2778, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0414, loss: 0.9619 2022-09-14 05:22:34,250 - mmdet - INFO - Epoch [18][100/7330] lr: 1.000e-04, eta: 2 days, 4:58:26, time: 1.406, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1641, s0.loss_cls: 0.1277, s0.acc: 95.3040, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1913, s1.loss_cls: 0.0596, s1.acc: 95.5758, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0905, s2.loss_cls: 0.0309, s2.acc: 95.3331, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0429, loss: 0.9636 2022-09-14 05:23:43,207 - mmdet - INFO - Epoch [18][150/7330] lr: 1.000e-04, eta: 2 days, 4:57:18, time: 1.379, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1634, s0.loss_cls: 0.1304, s0.acc: 95.2603, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1866, s1.loss_cls: 0.0610, s1.acc: 95.5633, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0879, s2.loss_cls: 0.0312, s2.acc: 95.3887, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0418, loss: 0.9601 2022-09-14 05:24:51,452 - mmdet - INFO - Epoch [18][200/7330] lr: 1.000e-04, eta: 2 days, 4:56:09, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1702, s0.loss_cls: 0.1318, s0.acc: 95.1562, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1837, s1.loss_cls: 0.0628, s1.acc: 95.3694, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0863, s2.loss_cls: 0.0322, s2.acc: 95.1198, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0408, loss: 0.9560 2022-09-14 05:25:59,744 - mmdet - INFO - Epoch [18][250/7330] lr: 1.000e-04, eta: 2 days, 4:55:00, time: 1.363, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1332, s0.acc: 95.2339, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1881, s1.loss_cls: 0.0645, s1.acc: 95.3557, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0894, s2.loss_cls: 0.0332, s2.acc: 95.1260, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0426, loss: 0.9706 2022-09-14 05:27:08,624 - mmdet - INFO - Epoch [18][300/7330] lr: 1.000e-04, eta: 2 days, 4:53:52, time: 1.379, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1671, s0.loss_cls: 0.1409, s0.acc: 94.8896, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1922, s1.loss_cls: 0.0662, s1.acc: 95.1971, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0911, s2.loss_cls: 0.0340, s2.acc: 95.0002, s2.loss_bbox: 0.0583, s2.loss_mask: 0.0430, loss: 1.0105 2022-09-14 05:28:16,943 - mmdet - INFO - Epoch [18][350/7330] lr: 1.000e-04, eta: 2 days, 4:52:44, time: 1.368, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1355, s0.acc: 95.0725, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1881, s1.loss_cls: 0.0646, s1.acc: 95.2552, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0887, s2.loss_cls: 0.0329, s2.acc: 95.0935, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0420, loss: 0.9809 2022-09-14 05:29:25,326 - mmdet - INFO - Epoch [18][400/7330] lr: 1.000e-04, eta: 2 days, 4:51:35, time: 1.368, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1328, s0.acc: 95.1443, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1914, s1.loss_cls: 0.0631, s1.acc: 95.3445, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0906, s2.loss_cls: 0.0326, s2.acc: 95.1316, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0429, loss: 0.9969 2022-09-14 05:30:33,199 - mmdet - INFO - Epoch [18][450/7330] lr: 1.000e-04, eta: 2 days, 4:50:26, time: 1.358, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1627, s0.loss_cls: 0.1227, s0.acc: 95.5286, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1813, s1.loss_cls: 0.0576, s1.acc: 95.7933, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0859, s2.loss_cls: 0.0293, s2.acc: 95.6565, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0408, loss: 0.9221 2022-09-14 05:31:41,874 - mmdet - INFO - Epoch [18][500/7330] lr: 1.000e-04, eta: 2 days, 4:49:17, time: 1.374, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1349, s0.acc: 95.1458, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1895, s1.loss_cls: 0.0643, s1.acc: 95.3497, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0892, s2.loss_cls: 0.0325, s2.acc: 95.2699, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0422, loss: 0.9949 2022-09-14 05:32:50,556 - mmdet - INFO - Epoch [18][550/7330] lr: 1.000e-04, eta: 2 days, 4:48:09, time: 1.374, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1366, s0.acc: 95.0249, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1891, s1.loss_cls: 0.0658, s1.acc: 95.2564, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0890, s2.loss_cls: 0.0338, s2.acc: 95.0308, s2.loss_bbox: 0.0587, s2.loss_mask: 0.0423, loss: 0.9984 2022-09-14 05:33:59,644 - mmdet - INFO - Epoch [18][600/7330] lr: 1.000e-04, eta: 2 days, 4:47:01, time: 1.382, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1677, s0.loss_cls: 0.1283, s0.acc: 95.2935, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1870, s1.loss_cls: 0.0628, s1.acc: 95.4834, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0885, s2.loss_cls: 0.0324, s2.acc: 95.2248, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0419, loss: 0.9665 2022-09-14 05:35:08,602 - mmdet - INFO - Epoch [18][650/7330] lr: 1.000e-04, eta: 2 days, 4:45:53, time: 1.377, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1184, s0.acc: 95.7476, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1821, s1.loss_cls: 0.0568, s1.acc: 95.9733, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0865, s2.loss_cls: 0.0292, s2.acc: 95.7170, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0413, loss: 0.9216 2022-09-14 05:36:16,645 - mmdet - INFO - Epoch [18][700/7330] lr: 1.000e-04, eta: 2 days, 4:44:44, time: 1.363, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1312, s0.acc: 95.2981, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1894, s1.loss_cls: 0.0629, s1.acc: 95.4872, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0888, s2.loss_cls: 0.0324, s2.acc: 95.2736, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0415, loss: 0.9783 2022-09-14 05:37:25,519 - mmdet - INFO - Epoch [18][750/7330] lr: 1.000e-04, eta: 2 days, 4:43:36, time: 1.377, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1774, s0.loss_cls: 0.1314, s0.acc: 95.1931, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1881, s1.loss_cls: 0.0634, s1.acc: 95.4132, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0886, s2.loss_cls: 0.0325, s2.acc: 95.1781, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0421, loss: 0.9804 2022-09-14 05:38:34,215 - mmdet - INFO - Epoch [18][800/7330] lr: 1.000e-04, eta: 2 days, 4:42:28, time: 1.374, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1384, s0.acc: 94.9255, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1921, s1.loss_cls: 0.0654, s1.acc: 95.1711, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0917, s2.loss_cls: 0.0337, s2.acc: 94.8626, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0434, loss: 1.0064 2022-09-14 05:39:42,740 - mmdet - INFO - Epoch [18][850/7330] lr: 1.000e-04, eta: 2 days, 4:41:19, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1377, s0.acc: 94.9595, s0.loss_bbox: 0.0792, s0.loss_mask: 0.1927, s1.loss_cls: 0.0665, s1.acc: 95.1707, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0909, s2.loss_cls: 0.0348, s2.acc: 94.9063, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0429, loss: 1.0103 2022-09-14 05:40:50,554 - mmdet - INFO - Epoch [18][900/7330] lr: 1.000e-04, eta: 2 days, 4:40:10, time: 1.356, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1320, s0.acc: 95.0750, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1855, s1.loss_cls: 0.0626, s1.acc: 95.3289, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0875, s2.loss_cls: 0.0326, s2.acc: 95.1086, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0412, loss: 0.9654 2022-09-14 05:41:59,819 - mmdet - INFO - Epoch [18][950/7330] lr: 1.000e-04, eta: 2 days, 4:39:02, time: 1.385, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1782, s0.loss_cls: 0.1323, s0.acc: 95.1660, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1854, s1.loss_cls: 0.0625, s1.acc: 95.4109, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0881, s2.loss_cls: 0.0324, s2.acc: 95.1485, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0419, loss: 0.9805 2022-09-14 05:43:07,902 - mmdet - INFO - Epoch [18][1000/7330] lr: 1.000e-04, eta: 2 days, 4:37:53, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1716, s0.loss_cls: 0.1416, s0.acc: 94.9402, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1861, s1.loss_cls: 0.0672, s1.acc: 95.1290, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0878, s2.loss_cls: 0.0342, s2.acc: 94.9720, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0417, loss: 0.9921 2022-09-14 05:44:16,921 - mmdet - INFO - Epoch [18][1050/7330] lr: 1.000e-04, eta: 2 days, 4:36:45, time: 1.380, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1346, s0.acc: 95.1165, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1950, s1.loss_cls: 0.0636, s1.acc: 95.4139, s1.loss_bbox: 0.0878, s1.loss_mask: 0.0920, s2.loss_cls: 0.0327, s2.acc: 95.1643, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0430, loss: 0.9956 2022-09-14 05:45:25,443 - mmdet - INFO - Epoch [18][1100/7330] lr: 1.000e-04, eta: 2 days, 4:35:37, time: 1.369, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1308, s0.acc: 95.2612, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1850, s1.loss_cls: 0.0632, s1.acc: 95.4224, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0878, s2.loss_cls: 0.0321, s2.acc: 95.2933, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0412, loss: 0.9575 2022-09-14 05:46:34,336 - mmdet - INFO - Epoch [18][1150/7330] lr: 1.000e-04, eta: 2 days, 4:34:29, time: 1.379, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1463, s0.acc: 94.5872, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1909, s1.loss_cls: 0.0704, s1.acc: 94.8488, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0905, s2.loss_cls: 0.0363, s2.acc: 94.5219, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0427, loss: 1.0252 2022-09-14 05:47:42,470 - mmdet - INFO - Epoch [18][1200/7330] lr: 1.000e-04, eta: 2 days, 4:33:20, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1407, s0.acc: 94.9470, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1910, s1.loss_cls: 0.0668, s1.acc: 95.1909, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0904, s2.loss_cls: 0.0343, s2.acc: 94.9262, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0430, loss: 1.0011 2022-09-14 05:48:50,743 - mmdet - INFO - Epoch [18][1250/7330] lr: 1.000e-04, eta: 2 days, 4:32:11, time: 1.364, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1389, s0.acc: 95.0632, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1882, s1.loss_cls: 0.0661, s1.acc: 95.2863, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0887, s2.loss_cls: 0.0334, s2.acc: 95.0341, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0420, loss: 0.9907 2022-09-14 05:49:58,343 - mmdet - INFO - Epoch [18][1300/7330] lr: 1.000e-04, eta: 2 days, 4:31:01, time: 1.353, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1260, s0.acc: 95.4128, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1869, s1.loss_cls: 0.0605, s1.acc: 95.5475, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0890, s2.loss_cls: 0.0311, s2.acc: 95.3377, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0421, loss: 0.9525 2022-09-14 05:51:07,216 - mmdet - INFO - Epoch [18][1350/7330] lr: 1.000e-04, eta: 2 days, 4:29:53, time: 1.377, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1235, s0.acc: 95.4778, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1882, s1.loss_cls: 0.0586, s1.acc: 95.7215, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0890, s2.loss_cls: 0.0307, s2.acc: 95.4697, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0422, loss: 0.9400 2022-09-14 05:52:15,986 - mmdet - INFO - Epoch [18][1400/7330] lr: 1.000e-04, eta: 2 days, 4:28:45, time: 1.373, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1312, s0.acc: 95.2014, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1895, s1.loss_cls: 0.0626, s1.acc: 95.4802, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0895, s2.loss_cls: 0.0322, s2.acc: 95.2649, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0423, loss: 0.9782 2022-09-14 05:53:24,712 - mmdet - INFO - Epoch [18][1450/7330] lr: 1.000e-04, eta: 2 days, 4:27:37, time: 1.377, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1337, s0.acc: 95.0264, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1979, s1.loss_cls: 0.0641, s1.acc: 95.2485, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0933, s2.loss_cls: 0.0330, s2.acc: 94.9596, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0446, loss: 1.0005 2022-09-14 05:54:32,457 - mmdet - INFO - Epoch [18][1500/7330] lr: 1.000e-04, eta: 2 days, 4:26:27, time: 1.355, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1309, s0.acc: 95.2700, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1893, s1.loss_cls: 0.0630, s1.acc: 95.4607, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0890, s2.loss_cls: 0.0323, s2.acc: 95.3135, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0418, loss: 0.9713 2022-09-14 05:55:41,804 - mmdet - INFO - Epoch [18][1550/7330] lr: 1.000e-04, eta: 2 days, 4:25:20, time: 1.387, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1282, s0.acc: 95.2356, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1899, s1.loss_cls: 0.0619, s1.acc: 95.4287, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0897, s2.loss_cls: 0.0318, s2.acc: 95.1330, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0423, loss: 0.9717 2022-09-14 05:56:49,063 - mmdet - INFO - Epoch [18][1600/7330] lr: 1.000e-04, eta: 2 days, 4:24:10, time: 1.344, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1834, s0.loss_cls: 0.1333, s0.acc: 95.2324, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1972, s1.loss_cls: 0.0640, s1.acc: 95.4013, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0932, s2.loss_cls: 0.0327, s2.acc: 95.1848, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0444, loss: 0.9952 2022-09-14 05:57:56,775 - mmdet - INFO - Epoch [18][1650/7330] lr: 1.000e-04, eta: 2 days, 4:23:01, time: 1.356, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1804, s0.loss_cls: 0.1353, s0.acc: 95.0493, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1923, s1.loss_cls: 0.0655, s1.acc: 95.1916, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0906, s2.loss_cls: 0.0336, s2.acc: 95.0357, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0427, loss: 1.0039 2022-09-14 05:59:03,790 - mmdet - INFO - Epoch [18][1700/7330] lr: 1.000e-04, eta: 2 days, 4:21:50, time: 1.340, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1745, s0.loss_cls: 0.1324, s0.acc: 95.2397, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1857, s1.loss_cls: 0.0634, s1.acc: 95.4518, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0879, s2.loss_cls: 0.0329, s2.acc: 95.1729, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0416, loss: 0.9756 2022-09-14 06:00:20,060 - mmdet - INFO - Epoch [18][1750/7330] lr: 1.000e-04, eta: 2 days, 4:20:50, time: 1.525, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1767, s0.loss_cls: 0.1227, s0.acc: 95.5603, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1896, s1.loss_cls: 0.0589, s1.acc: 95.7780, s1.loss_bbox: 0.0778, s1.loss_mask: 0.0895, s2.loss_cls: 0.0304, s2.acc: 95.5329, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0425, loss: 0.9472 2022-09-14 06:01:29,248 - mmdet - INFO - Epoch [18][1800/7330] lr: 1.000e-04, eta: 2 days, 4:19:43, time: 1.384, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0293, loss_semantic_seg: 0.1733, s0.loss_cls: 0.1376, s0.acc: 94.9490, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1902, s1.loss_cls: 0.0661, s1.acc: 95.1088, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0891, s2.loss_cls: 0.0337, s2.acc: 94.9199, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0419, loss: 1.0020 2022-09-14 06:02:39,090 - mmdet - INFO - Epoch [18][1850/7330] lr: 1.000e-04, eta: 2 days, 4:18:35, time: 1.397, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1264, s0.acc: 95.4248, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1885, s1.loss_cls: 0.0610, s1.acc: 95.5912, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0888, s2.loss_cls: 0.0314, s2.acc: 95.3401, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0420, loss: 0.9650 2022-09-14 06:03:47,631 - mmdet - INFO - Epoch [18][1900/7330] lr: 1.000e-04, eta: 2 days, 4:17:27, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0285, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1296, s0.acc: 95.2266, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1882, s1.loss_cls: 0.0614, s1.acc: 95.4653, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0886, s2.loss_cls: 0.0321, s2.acc: 95.2444, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0421, loss: 0.9743 2022-09-14 06:04:55,832 - mmdet - INFO - Epoch [18][1950/7330] lr: 1.000e-04, eta: 2 days, 4:16:18, time: 1.366, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1731, s0.loss_cls: 0.1345, s0.acc: 95.1272, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1912, s1.loss_cls: 0.0643, s1.acc: 95.3783, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0905, s2.loss_cls: 0.0328, s2.acc: 95.1672, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0426, loss: 0.9848 2022-09-14 06:06:05,744 - mmdet - INFO - Epoch [18][2000/7330] lr: 1.000e-04, eta: 2 days, 4:15:11, time: 1.398, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1256, s0.acc: 95.3862, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1865, s1.loss_cls: 0.0599, s1.acc: 95.6174, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0885, s2.loss_cls: 0.0308, s2.acc: 95.3852, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0420, loss: 0.9579 2022-09-14 06:07:16,233 - mmdet - INFO - Epoch [18][2050/7330] lr: 1.000e-04, eta: 2 days, 4:14:05, time: 1.410, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1342, s0.acc: 95.1204, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1936, s1.loss_cls: 0.0648, s1.acc: 95.3031, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0917, s2.loss_cls: 0.0331, s2.acc: 95.0585, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0434, loss: 0.9868 2022-09-14 06:08:23,800 - mmdet - INFO - Epoch [18][2100/7330] lr: 1.000e-04, eta: 2 days, 4:12:55, time: 1.352, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1748, s0.loss_cls: 0.1327, s0.acc: 95.2031, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1860, s1.loss_cls: 0.0635, s1.acc: 95.4012, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0884, s2.loss_cls: 0.0322, s2.acc: 95.2924, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0420, loss: 0.9734 2022-09-14 06:09:33,429 - mmdet - INFO - Epoch [18][2150/7330] lr: 1.000e-04, eta: 2 days, 4:11:48, time: 1.393, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1289, s0.acc: 95.2485, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1885, s1.loss_cls: 0.0611, s1.acc: 95.5118, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0897, s2.loss_cls: 0.0312, s2.acc: 95.3242, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0424, loss: 0.9528 2022-09-14 06:10:41,917 - mmdet - INFO - Epoch [18][2200/7330] lr: 1.000e-04, eta: 2 days, 4:10:39, time: 1.370, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1743, s0.loss_cls: 0.1223, s0.acc: 95.5571, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1821, s1.loss_cls: 0.0581, s1.acc: 95.7566, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0862, s2.loss_cls: 0.0299, s2.acc: 95.5671, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0407, loss: 0.9336 2022-09-14 06:11:50,265 - mmdet - INFO - Epoch [18][2250/7330] lr: 1.000e-04, eta: 2 days, 4:09:31, time: 1.365, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1608, s0.loss_cls: 0.1199, s0.acc: 95.6187, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1887, s1.loss_cls: 0.0575, s1.acc: 95.8137, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0893, s2.loss_cls: 0.0297, s2.acc: 95.5494, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0426, loss: 0.9303 2022-09-14 06:12:58,502 - mmdet - INFO - Epoch [18][2300/7330] lr: 1.000e-04, eta: 2 days, 4:08:22, time: 1.366, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1347, s0.acc: 95.0320, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1930, s1.loss_cls: 0.0639, s1.acc: 95.2889, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0913, s2.loss_cls: 0.0330, s2.acc: 95.0016, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0432, loss: 0.9893 2022-09-14 06:14:08,094 - mmdet - INFO - Epoch [18][2350/7330] lr: 1.000e-04, eta: 2 days, 4:07:14, time: 1.388, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1688, s0.loss_cls: 0.1356, s0.acc: 95.0164, s0.loss_bbox: 0.0773, s0.loss_mask: 0.1926, s1.loss_cls: 0.0648, s1.acc: 95.2504, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0907, s2.loss_cls: 0.0329, s2.acc: 95.0860, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0430, loss: 0.9921 2022-09-14 06:15:18,078 - mmdet - INFO - Epoch [18][2400/7330] lr: 1.000e-04, eta: 2 days, 4:06:07, time: 1.401, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1760, s0.loss_cls: 0.1329, s0.acc: 95.1509, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1815, s1.loss_cls: 0.0632, s1.acc: 95.3669, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0859, s2.loss_cls: 0.0326, s2.acc: 95.1643, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0406, loss: 0.9634 2022-09-14 06:16:28,300 - mmdet - INFO - Epoch [18][2450/7330] lr: 1.000e-04, eta: 2 days, 4:05:01, time: 1.403, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1608, s0.loss_cls: 0.1309, s0.acc: 95.1458, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1893, s1.loss_cls: 0.0622, s1.acc: 95.3880, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0897, s2.loss_cls: 0.0323, s2.acc: 95.0613, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0422, loss: 0.9730 2022-09-14 06:17:38,125 - mmdet - INFO - Epoch [18][2500/7330] lr: 1.000e-04, eta: 2 days, 4:03:54, time: 1.399, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1735, s0.loss_cls: 0.1318, s0.acc: 95.1482, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1882, s1.loss_cls: 0.0633, s1.acc: 95.3268, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0895, s2.loss_cls: 0.0326, s2.acc: 95.0980, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0419, loss: 0.9789 2022-09-14 06:18:48,157 - mmdet - INFO - Epoch [18][2550/7330] lr: 1.000e-04, eta: 2 days, 4:02:47, time: 1.401, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1332, s0.acc: 95.0596, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1893, s1.loss_cls: 0.0643, s1.acc: 95.1827, s1.loss_bbox: 0.0887, s1.loss_mask: 0.0895, s2.loss_cls: 0.0326, s2.acc: 94.9953, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0424, loss: 0.9935 2022-09-14 06:19:59,559 - mmdet - INFO - Epoch [18][2600/7330] lr: 1.000e-04, eta: 2 days, 4:01:41, time: 1.428, data_time: 0.037, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1767, s0.loss_cls: 0.1349, s0.acc: 95.1252, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1912, s1.loss_cls: 0.0640, s1.acc: 95.3173, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0898, s2.loss_cls: 0.0328, s2.acc: 95.1133, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0421, loss: 0.9970 2022-09-14 06:21:07,909 - mmdet - INFO - Epoch [18][2650/7330] lr: 1.000e-04, eta: 2 days, 4:00:33, time: 1.367, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1742, s0.loss_cls: 0.1297, s0.acc: 95.1846, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1866, s1.loss_cls: 0.0623, s1.acc: 95.3790, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0884, s2.loss_cls: 0.0322, s2.acc: 95.1663, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0418, loss: 0.9691 2022-09-14 06:22:16,020 - mmdet - INFO - Epoch [18][2700/7330] lr: 1.000e-04, eta: 2 days, 3:59:24, time: 1.362, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1259, s0.acc: 95.3413, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1849, s1.loss_cls: 0.0596, s1.acc: 95.5905, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0871, s2.loss_cls: 0.0309, s2.acc: 95.2786, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0413, loss: 0.9543 2022-09-14 06:23:24,492 - mmdet - INFO - Epoch [18][2750/7330] lr: 1.000e-04, eta: 2 days, 3:58:15, time: 1.369, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1279, s0.acc: 95.2998, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1874, s1.loss_cls: 0.0602, s1.acc: 95.6358, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0881, s2.loss_cls: 0.0307, s2.acc: 95.3934, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0415, loss: 0.9585 2022-09-14 06:24:32,994 - mmdet - INFO - Epoch [18][2800/7330] lr: 1.000e-04, eta: 2 days, 3:57:07, time: 1.370, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1691, s0.loss_cls: 0.1289, s0.acc: 95.2976, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1862, s1.loss_cls: 0.0601, s1.acc: 95.5494, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0885, s2.loss_cls: 0.0305, s2.acc: 95.3915, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0417, loss: 0.9558 2022-09-14 06:25:43,014 - mmdet - INFO - Epoch [18][2850/7330] lr: 1.000e-04, eta: 2 days, 3:56:00, time: 1.400, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1359, s0.acc: 95.0325, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1913, s1.loss_cls: 0.0656, s1.acc: 95.2762, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0907, s2.loss_cls: 0.0340, s2.acc: 94.9991, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0432, loss: 0.9941 2022-09-14 06:26:50,786 - mmdet - INFO - Epoch [18][2900/7330] lr: 1.000e-04, eta: 2 days, 3:54:50, time: 1.355, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1735, s0.loss_cls: 0.1381, s0.acc: 94.9443, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1913, s1.loss_cls: 0.0664, s1.acc: 95.1790, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0907, s2.loss_cls: 0.0340, s2.acc: 94.8905, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0425, loss: 1.0070 2022-09-14 06:27:59,352 - mmdet - INFO - Epoch [18][2950/7330] lr: 1.000e-04, eta: 2 days, 3:53:42, time: 1.370, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1168, s0.acc: 95.6785, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1849, s1.loss_cls: 0.0552, s1.acc: 95.8999, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0873, s2.loss_cls: 0.0284, s2.acc: 95.7155, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0416, loss: 0.9225 2022-09-14 06:29:07,306 - mmdet - INFO - Epoch [18][3000/7330] lr: 1.000e-04, eta: 2 days, 3:52:33, time: 1.360, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1283, s0.acc: 95.1973, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1942, s1.loss_cls: 0.0607, s1.acc: 95.4348, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0919, s2.loss_cls: 0.0317, s2.acc: 95.2265, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0431, loss: 0.9752 2022-09-14 06:30:15,937 - mmdet - INFO - Epoch [18][3050/7330] lr: 1.000e-04, eta: 2 days, 3:51:24, time: 1.373, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1743, s0.loss_cls: 0.1368, s0.acc: 94.9868, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1902, s1.loss_cls: 0.0652, s1.acc: 95.1266, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0896, s2.loss_cls: 0.0335, s2.acc: 94.8979, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0424, loss: 0.9998 2022-09-14 06:31:23,706 - mmdet - INFO - Epoch [18][3100/7330] lr: 1.000e-04, eta: 2 days, 3:50:15, time: 1.355, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1336, s0.acc: 95.1809, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1867, s1.loss_cls: 0.0630, s1.acc: 95.4467, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0884, s2.loss_cls: 0.0321, s2.acc: 95.2661, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0418, loss: 0.9708 2022-09-14 06:32:32,317 - mmdet - INFO - Epoch [18][3150/7330] lr: 1.000e-04, eta: 2 days, 3:49:06, time: 1.372, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1234, s0.acc: 95.4785, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1869, s1.loss_cls: 0.0578, s1.acc: 95.8211, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0885, s2.loss_cls: 0.0301, s2.acc: 95.5627, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0419, loss: 0.9480 2022-09-14 06:33:40,644 - mmdet - INFO - Epoch [18][3200/7330] lr: 1.000e-04, eta: 2 days, 3:47:58, time: 1.367, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1259, s0.acc: 95.3828, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1864, s1.loss_cls: 0.0600, s1.acc: 95.6230, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0879, s2.loss_cls: 0.0311, s2.acc: 95.3617, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0416, loss: 0.9524 2022-09-14 06:34:48,565 - mmdet - INFO - Epoch [18][3250/7330] lr: 1.000e-04, eta: 2 days, 3:46:49, time: 1.358, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1204, s0.acc: 95.6279, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1840, s1.loss_cls: 0.0580, s1.acc: 95.8666, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0864, s2.loss_cls: 0.0298, s2.acc: 95.6152, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0409, loss: 0.9312 2022-09-14 06:35:57,022 - mmdet - INFO - Epoch [18][3300/7330] lr: 1.000e-04, eta: 2 days, 3:45:40, time: 1.369, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1292, s0.acc: 95.3511, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1843, s1.loss_cls: 0.0606, s1.acc: 95.6060, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0876, s2.loss_cls: 0.0314, s2.acc: 95.4188, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0419, loss: 0.9501 2022-09-14 06:37:05,008 - mmdet - INFO - Epoch [18][3350/7330] lr: 1.000e-04, eta: 2 days, 3:44:31, time: 1.360, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1717, s0.loss_cls: 0.1338, s0.acc: 95.0598, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1892, s1.loss_cls: 0.0631, s1.acc: 95.3746, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0897, s2.loss_cls: 0.0326, s2.acc: 95.1867, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0424, loss: 0.9790 2022-09-14 06:38:12,944 - mmdet - INFO - Epoch [18][3400/7330] lr: 1.000e-04, eta: 2 days, 3:43:22, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1742, s0.loss_cls: 0.1171, s0.acc: 95.7742, s0.loss_bbox: 0.0641, s0.loss_mask: 0.1753, s1.loss_cls: 0.0565, s1.acc: 95.9278, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0827, s2.loss_cls: 0.0287, s2.acc: 95.7755, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0394, loss: 0.8990 2022-09-14 06:39:20,821 - mmdet - INFO - Epoch [18][3450/7330] lr: 1.000e-04, eta: 2 days, 3:42:13, time: 1.358, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1736, s0.loss_cls: 0.1381, s0.acc: 94.9268, s0.loss_bbox: 0.0778, s0.loss_mask: 0.1900, s1.loss_cls: 0.0665, s1.acc: 95.1420, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0896, s2.loss_cls: 0.0338, s2.acc: 94.9886, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0420, loss: 0.9992 2022-09-14 06:40:29,097 - mmdet - INFO - Epoch [18][3500/7330] lr: 1.000e-04, eta: 2 days, 3:41:04, time: 1.366, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1244, s0.acc: 95.3188, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1845, s1.loss_cls: 0.0591, s1.acc: 95.5433, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0872, s2.loss_cls: 0.0312, s2.acc: 95.2727, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0413, loss: 0.9524 2022-09-14 06:41:36,649 - mmdet - INFO - Epoch [18][3550/7330] lr: 1.000e-04, eta: 2 days, 3:39:54, time: 1.351, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1248, s0.acc: 95.3987, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1843, s1.loss_cls: 0.0600, s1.acc: 95.5796, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0865, s2.loss_cls: 0.0312, s2.acc: 95.3311, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0413, loss: 0.9434 2022-09-14 06:42:44,776 - mmdet - INFO - Epoch [18][3600/7330] lr: 1.000e-04, eta: 2 days, 3:38:45, time: 1.363, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1308, s0.acc: 95.1824, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1913, s1.loss_cls: 0.0624, s1.acc: 95.4757, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0899, s2.loss_cls: 0.0318, s2.acc: 95.3426, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0420, loss: 0.9879 2022-09-14 06:43:53,150 - mmdet - INFO - Epoch [18][3650/7330] lr: 1.000e-04, eta: 2 days, 3:37:37, time: 1.367, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1768, s0.loss_cls: 0.1321, s0.acc: 95.1958, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1844, s1.loss_cls: 0.0620, s1.acc: 95.5646, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0874, s2.loss_cls: 0.0321, s2.acc: 95.3233, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0414, loss: 0.9692 2022-09-14 06:45:00,720 - mmdet - INFO - Epoch [18][3700/7330] lr: 1.000e-04, eta: 2 days, 3:36:27, time: 1.351, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1281, s0.acc: 95.2905, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1875, s1.loss_cls: 0.0607, s1.acc: 95.5601, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0875, s2.loss_cls: 0.0313, s2.acc: 95.3442, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0413, loss: 0.9589 2022-09-14 06:46:09,583 - mmdet - INFO - Epoch [18][3750/7330] lr: 1.000e-04, eta: 2 days, 3:35:19, time: 1.377, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1727, s0.loss_cls: 0.1377, s0.acc: 95.0369, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1851, s1.loss_cls: 0.0651, s1.acc: 95.3428, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0876, s2.loss_cls: 0.0334, s2.acc: 95.0647, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0413, loss: 0.9795 2022-09-14 06:47:17,213 - mmdet - INFO - Epoch [18][3800/7330] lr: 1.000e-04, eta: 2 days, 3:34:09, time: 1.353, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1787, s0.loss_cls: 0.1373, s0.acc: 94.9937, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1913, s1.loss_cls: 0.0653, s1.acc: 95.2497, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0905, s2.loss_cls: 0.0331, s2.acc: 95.0011, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0428, loss: 1.0069 2022-09-14 06:48:25,220 - mmdet - INFO - Epoch [18][3850/7330] lr: 1.000e-04, eta: 2 days, 3:33:00, time: 1.360, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1266, s0.acc: 95.3733, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1895, s1.loss_cls: 0.0603, s1.acc: 95.5992, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0894, s2.loss_cls: 0.0311, s2.acc: 95.3495, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0419, loss: 0.9669 2022-09-14 06:49:33,763 - mmdet - INFO - Epoch [18][3900/7330] lr: 1.000e-04, eta: 2 days, 3:31:52, time: 1.370, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1738, s0.loss_cls: 0.1348, s0.acc: 95.0525, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1889, s1.loss_cls: 0.0631, s1.acc: 95.3843, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0894, s2.loss_cls: 0.0323, s2.acc: 95.2056, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0424, loss: 0.9874 2022-09-14 06:50:42,435 - mmdet - INFO - Epoch [18][3950/7330] lr: 1.000e-04, eta: 2 days, 3:30:44, time: 1.374, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1719, s0.loss_cls: 0.1325, s0.acc: 95.2322, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1964, s1.loss_cls: 0.0640, s1.acc: 95.3113, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0936, s2.loss_cls: 0.0321, s2.acc: 95.2716, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0442, loss: 0.9918 2022-09-14 06:51:51,048 - mmdet - INFO - Epoch [18][4000/7330] lr: 1.000e-04, eta: 2 days, 3:29:35, time: 1.372, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1388, s0.acc: 95.0090, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1957, s1.loss_cls: 0.0668, s1.acc: 95.2485, s1.loss_bbox: 0.0882, s1.loss_mask: 0.0921, s2.loss_cls: 0.0336, s2.acc: 95.1508, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0434, loss: 1.0145 2022-09-14 06:52:59,056 - mmdet - INFO - Epoch [18][4050/7330] lr: 1.000e-04, eta: 2 days, 3:28:26, time: 1.360, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1719, s0.loss_cls: 0.1298, s0.acc: 95.2751, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1855, s1.loss_cls: 0.0616, s1.acc: 95.5286, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0879, s2.loss_cls: 0.0316, s2.acc: 95.2950, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0415, loss: 0.9607 2022-09-14 06:54:07,725 - mmdet - INFO - Epoch [18][4100/7330] lr: 1.000e-04, eta: 2 days, 3:27:18, time: 1.373, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1388, s0.acc: 95.0466, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1903, s1.loss_cls: 0.0661, s1.acc: 95.2642, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0899, s2.loss_cls: 0.0342, s2.acc: 95.0298, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0429, loss: 1.0012 2022-09-14 06:55:16,513 - mmdet - INFO - Epoch [18][4150/7330] lr: 1.000e-04, eta: 2 days, 3:26:09, time: 1.376, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1294, s0.acc: 95.3491, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1891, s1.loss_cls: 0.0618, s1.acc: 95.5131, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0898, s2.loss_cls: 0.0314, s2.acc: 95.3564, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0425, loss: 0.9700 2022-09-14 06:56:25,022 - mmdet - INFO - Epoch [18][4200/7330] lr: 1.000e-04, eta: 2 days, 3:25:01, time: 1.370, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1316, s0.acc: 95.1914, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1922, s1.loss_cls: 0.0635, s1.acc: 95.3436, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0910, s2.loss_cls: 0.0322, s2.acc: 95.2075, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0427, loss: 0.9822 2022-09-14 06:57:33,250 - mmdet - INFO - Epoch [18][4250/7330] lr: 1.000e-04, eta: 2 days, 3:23:52, time: 1.364, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1783, s0.loss_cls: 0.1317, s0.acc: 95.2046, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1890, s1.loss_cls: 0.0634, s1.acc: 95.3527, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0895, s2.loss_cls: 0.0328, s2.acc: 95.0544, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0425, loss: 0.9867 2022-09-14 06:58:41,018 - mmdet - INFO - Epoch [18][4300/7330] lr: 1.000e-04, eta: 2 days, 3:22:43, time: 1.355, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1717, s0.loss_cls: 0.1293, s0.acc: 95.2979, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1927, s1.loss_cls: 0.0618, s1.acc: 95.4939, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0902, s2.loss_cls: 0.0320, s2.acc: 95.2923, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0424, loss: 0.9794 2022-09-14 06:59:50,312 - mmdet - INFO - Epoch [18][4350/7330] lr: 1.000e-04, eta: 2 days, 3:21:35, time: 1.384, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1739, s0.loss_cls: 0.1299, s0.acc: 95.2292, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1870, s1.loss_cls: 0.0612, s1.acc: 95.4938, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0884, s2.loss_cls: 0.0312, s2.acc: 95.3792, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0419, loss: 0.9719 2022-09-14 07:00:58,774 - mmdet - INFO - Epoch [18][4400/7330] lr: 1.000e-04, eta: 2 days, 3:20:26, time: 1.371, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1817, s0.loss_cls: 0.1234, s0.acc: 95.4556, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1876, s1.loss_cls: 0.0582, s1.acc: 95.7248, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0884, s2.loss_cls: 0.0298, s2.acc: 95.5912, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0417, loss: 0.9567 2022-09-14 07:02:06,430 - mmdet - INFO - Epoch [18][4450/7330] lr: 1.000e-04, eta: 2 days, 3:19:17, time: 1.353, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1702, s0.loss_cls: 0.1221, s0.acc: 95.6091, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1884, s1.loss_cls: 0.0569, s1.acc: 95.9034, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0888, s2.loss_cls: 0.0292, s2.acc: 95.7544, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0416, loss: 0.9385 2022-09-14 07:03:14,545 - mmdet - INFO - Epoch [18][4500/7330] lr: 1.000e-04, eta: 2 days, 3:18:08, time: 1.361, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1329, s0.acc: 95.2568, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1912, s1.loss_cls: 0.0640, s1.acc: 95.4779, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0901, s2.loss_cls: 0.0326, s2.acc: 95.2375, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0430, loss: 0.9893 2022-09-14 07:04:23,474 - mmdet - INFO - Epoch [18][4550/7330] lr: 1.000e-04, eta: 2 days, 3:17:00, time: 1.380, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1242, s0.acc: 95.4397, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1800, s1.loss_cls: 0.0586, s1.acc: 95.6863, s1.loss_bbox: 0.0763, s1.loss_mask: 0.0849, s2.loss_cls: 0.0302, s2.acc: 95.5526, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0403, loss: 0.9292 2022-09-14 07:05:31,759 - mmdet - INFO - Epoch [18][4600/7330] lr: 1.000e-04, eta: 2 days, 3:15:51, time: 1.366, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1250, s0.acc: 95.4719, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1850, s1.loss_cls: 0.0591, s1.acc: 95.7551, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0879, s2.loss_cls: 0.0305, s2.acc: 95.6075, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0411, loss: 0.9528 2022-09-14 07:06:39,070 - mmdet - INFO - Epoch [18][4650/7330] lr: 1.000e-04, eta: 2 days, 3:14:41, time: 1.346, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1717, s0.loss_cls: 0.1250, s0.acc: 95.4517, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1912, s1.loss_cls: 0.0604, s1.acc: 95.5824, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0903, s2.loss_cls: 0.0311, s2.acc: 95.3507, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0432, loss: 0.9607 2022-09-14 07:07:47,290 - mmdet - INFO - Epoch [18][4700/7330] lr: 1.000e-04, eta: 2 days, 3:13:33, time: 1.364, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1781, s0.loss_cls: 0.1316, s0.acc: 95.2190, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1891, s1.loss_cls: 0.0624, s1.acc: 95.4800, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0891, s2.loss_cls: 0.0324, s2.acc: 95.3020, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0418, loss: 0.9880 2022-09-14 07:08:55,448 - mmdet - INFO - Epoch [18][4750/7330] lr: 1.000e-04, eta: 2 days, 3:12:24, time: 1.363, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1781, s0.loss_cls: 0.1303, s0.acc: 95.3662, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1892, s1.loss_cls: 0.0622, s1.acc: 95.6330, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0903, s2.loss_cls: 0.0314, s2.acc: 95.4260, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0424, loss: 0.9767 2022-09-14 07:10:03,439 - mmdet - INFO - Epoch [18][4800/7330] lr: 1.000e-04, eta: 2 days, 3:11:15, time: 1.360, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1373, s0.acc: 95.0476, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1914, s1.loss_cls: 0.0656, s1.acc: 95.2657, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0910, s2.loss_cls: 0.0333, s2.acc: 95.1511, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0430, loss: 0.9949 2022-09-14 07:11:11,747 - mmdet - INFO - Epoch [18][4850/7330] lr: 1.000e-04, eta: 2 days, 3:10:06, time: 1.366, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1318, s0.acc: 95.2788, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1840, s1.loss_cls: 0.0618, s1.acc: 95.6210, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0877, s2.loss_cls: 0.0318, s2.acc: 95.4743, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0419, loss: 0.9685 2022-09-14 07:12:18,939 - mmdet - INFO - Epoch [18][4900/7330] lr: 1.000e-04, eta: 2 days, 3:08:56, time: 1.344, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1679, s0.loss_cls: 0.1330, s0.acc: 95.1150, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1910, s1.loss_cls: 0.0626, s1.acc: 95.4309, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0906, s2.loss_cls: 0.0329, s2.acc: 95.1607, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0429, loss: 0.9858 2022-09-14 07:13:27,263 - mmdet - INFO - Epoch [18][4950/7330] lr: 1.000e-04, eta: 2 days, 3:07:47, time: 1.366, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1731, s0.loss_cls: 0.1333, s0.acc: 95.1428, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1964, s1.loss_cls: 0.0626, s1.acc: 95.3834, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0923, s2.loss_cls: 0.0326, s2.acc: 95.0307, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0437, loss: 0.9962 2022-09-14 07:14:35,592 - mmdet - INFO - Epoch [18][5000/7330] lr: 1.000e-04, eta: 2 days, 3:06:39, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1301, s0.acc: 95.2612, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1916, s1.loss_cls: 0.0615, s1.acc: 95.4527, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0907, s2.loss_cls: 0.0315, s2.acc: 95.2070, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0424, loss: 0.9818 2022-09-14 07:15:45,046 - mmdet - INFO - Epoch [18][5050/7330] lr: 1.000e-04, eta: 2 days, 3:05:31, time: 1.391, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1731, s0.loss_cls: 0.1291, s0.acc: 95.3381, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1883, s1.loss_cls: 0.0613, s1.acc: 95.5764, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0890, s2.loss_cls: 0.0318, s2.acc: 95.2823, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0422, loss: 0.9711 2022-09-14 07:16:52,516 - mmdet - INFO - Epoch [18][5100/7330] lr: 1.000e-04, eta: 2 days, 3:04:21, time: 1.350, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1309, s0.acc: 95.3997, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1865, s1.loss_cls: 0.0616, s1.acc: 95.7295, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0883, s2.loss_cls: 0.0315, s2.acc: 95.4757, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0416, loss: 0.9574 2022-09-14 07:18:01,057 - mmdet - INFO - Epoch [18][5150/7330] lr: 1.000e-04, eta: 2 days, 3:03:13, time: 1.371, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1773, s0.loss_cls: 0.1278, s0.acc: 95.4053, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1891, s1.loss_cls: 0.0594, s1.acc: 95.7548, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0897, s2.loss_cls: 0.0305, s2.acc: 95.4738, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0425, loss: 0.9663 2022-09-14 07:19:08,953 - mmdet - INFO - Epoch [18][5200/7330] lr: 1.000e-04, eta: 2 days, 3:02:04, time: 1.358, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1818, s0.loss_cls: 0.1358, s0.acc: 95.1006, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1935, s1.loss_cls: 0.0656, s1.acc: 95.3336, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0913, s2.loss_cls: 0.0331, s2.acc: 95.1916, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0431, loss: 1.0072 2022-09-14 07:20:16,488 - mmdet - INFO - Epoch [18][5250/7330] lr: 1.000e-04, eta: 2 days, 3:00:54, time: 1.351, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1798, s0.loss_cls: 0.1261, s0.acc: 95.2981, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1855, s1.loss_cls: 0.0594, s1.acc: 95.5784, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0881, s2.loss_cls: 0.0312, s2.acc: 95.2698, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0418, loss: 0.9582 2022-09-14 07:21:24,694 - mmdet - INFO - Epoch [18][5300/7330] lr: 1.000e-04, eta: 2 days, 2:59:45, time: 1.364, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1332, s0.acc: 95.1689, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1894, s1.loss_cls: 0.0629, s1.acc: 95.4175, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0891, s2.loss_cls: 0.0320, s2.acc: 95.2220, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0423, loss: 0.9819 2022-09-14 07:22:32,479 - mmdet - INFO - Epoch [18][5350/7330] lr: 1.000e-04, eta: 2 days, 2:58:36, time: 1.356, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1727, s0.loss_cls: 0.1376, s0.acc: 95.0605, s0.loss_bbox: 0.0771, s0.loss_mask: 0.1943, s1.loss_cls: 0.0656, s1.acc: 95.3724, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0921, s2.loss_cls: 0.0333, s2.acc: 95.1463, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0432, loss: 1.0026 2022-09-14 07:23:40,628 - mmdet - INFO - Epoch [18][5400/7330] lr: 1.000e-04, eta: 2 days, 2:57:27, time: 1.363, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1825, s0.loss_cls: 0.1414, s0.acc: 94.8406, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1934, s1.loss_cls: 0.0669, s1.acc: 95.0376, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0907, s2.loss_cls: 0.0346, s2.acc: 94.8261, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0428, loss: 1.0233 2022-09-14 07:24:47,624 - mmdet - INFO - Epoch [18][5450/7330] lr: 1.000e-04, eta: 2 days, 2:56:17, time: 1.340, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1797, s0.loss_cls: 0.1277, s0.acc: 95.3721, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1884, s1.loss_cls: 0.0600, s1.acc: 95.7304, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0893, s2.loss_cls: 0.0308, s2.acc: 95.5115, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0421, loss: 0.9696 2022-09-14 07:25:56,087 - mmdet - INFO - Epoch [18][5500/7330] lr: 1.000e-04, eta: 2 days, 2:55:09, time: 1.369, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1299, s0.acc: 95.2698, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1889, s1.loss_cls: 0.0629, s1.acc: 95.4127, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0899, s2.loss_cls: 0.0325, s2.acc: 95.2155, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0426, loss: 0.9696 2022-09-14 07:27:03,414 - mmdet - INFO - Epoch [18][5550/7330] lr: 1.000e-04, eta: 2 days, 2:53:59, time: 1.347, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1801, s0.loss_cls: 0.1317, s0.acc: 95.2510, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1912, s1.loss_cls: 0.0626, s1.acc: 95.4813, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0898, s2.loss_cls: 0.0319, s2.acc: 95.3156, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0425, loss: 0.9846 2022-09-14 07:28:11,548 - mmdet - INFO - Epoch [18][5600/7330] lr: 1.000e-04, eta: 2 days, 2:52:50, time: 1.363, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1309, s0.acc: 95.1633, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1878, s1.loss_cls: 0.0626, s1.acc: 95.4006, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0879, s2.loss_cls: 0.0323, s2.acc: 95.1323, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0412, loss: 0.9741 2022-09-14 07:29:19,566 - mmdet - INFO - Epoch [18][5650/7330] lr: 1.000e-04, eta: 2 days, 2:51:41, time: 1.360, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1786, s0.loss_cls: 0.1384, s0.acc: 95.0745, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1947, s1.loss_cls: 0.0656, s1.acc: 95.3263, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0916, s2.loss_cls: 0.0338, s2.acc: 95.0224, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0434, loss: 1.0102 2022-09-14 07:30:28,228 - mmdet - INFO - Epoch [18][5700/7330] lr: 1.000e-04, eta: 2 days, 2:50:32, time: 1.372, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1283, s0.acc: 95.3694, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1919, s1.loss_cls: 0.0615, s1.acc: 95.6160, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0911, s2.loss_cls: 0.0314, s2.acc: 95.4234, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0427, loss: 0.9689 2022-09-14 07:31:35,591 - mmdet - INFO - Epoch [18][5750/7330] lr: 1.000e-04, eta: 2 days, 2:49:23, time: 1.349, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1345, s0.acc: 95.1702, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1911, s1.loss_cls: 0.0633, s1.acc: 95.4533, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0904, s2.loss_cls: 0.0327, s2.acc: 95.1345, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0425, loss: 0.9790 2022-09-14 07:32:44,225 - mmdet - INFO - Epoch [18][5800/7330] lr: 1.000e-04, eta: 2 days, 2:48:14, time: 1.373, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1721, s0.loss_cls: 0.1308, s0.acc: 95.1936, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1918, s1.loss_cls: 0.0618, s1.acc: 95.4771, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0911, s2.loss_cls: 0.0324, s2.acc: 95.1853, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0431, loss: 0.9860 2022-09-14 07:33:53,092 - mmdet - INFO - Epoch [18][5850/7330] lr: 1.000e-04, eta: 2 days, 2:47:06, time: 1.377, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1259, s0.acc: 95.4370, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1831, s1.loss_cls: 0.0597, s1.acc: 95.6871, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0871, s2.loss_cls: 0.0303, s2.acc: 95.4153, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0414, loss: 0.9549 2022-09-14 07:35:01,629 - mmdet - INFO - Epoch [18][5900/7330] lr: 1.000e-04, eta: 2 days, 2:45:58, time: 1.371, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1738, s0.loss_cls: 0.1326, s0.acc: 95.1926, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1893, s1.loss_cls: 0.0636, s1.acc: 95.3318, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0894, s2.loss_cls: 0.0329, s2.acc: 95.0404, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0425, loss: 0.9805 2022-09-14 07:36:10,325 - mmdet - INFO - Epoch [18][5950/7330] lr: 1.000e-04, eta: 2 days, 2:44:49, time: 1.374, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1797, s0.loss_cls: 0.1308, s0.acc: 95.2656, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1898, s1.loss_cls: 0.0619, s1.acc: 95.4624, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0897, s2.loss_cls: 0.0319, s2.acc: 95.2833, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0426, loss: 0.9904 2022-09-14 07:37:18,254 - mmdet - INFO - Epoch [18][6000/7330] lr: 1.000e-04, eta: 2 days, 2:43:40, time: 1.359, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1748, s0.loss_cls: 0.1332, s0.acc: 95.1204, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1918, s1.loss_cls: 0.0639, s1.acc: 95.3014, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0905, s2.loss_cls: 0.0328, s2.acc: 95.1434, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0426, loss: 0.9832 2022-09-14 07:38:26,852 - mmdet - INFO - Epoch [18][6050/7330] lr: 1.000e-04, eta: 2 days, 2:42:32, time: 1.372, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1325, s0.acc: 95.1797, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1910, s1.loss_cls: 0.0628, s1.acc: 95.3849, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0903, s2.loss_cls: 0.0325, s2.acc: 95.1439, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0427, loss: 0.9848 2022-09-14 07:39:35,252 - mmdet - INFO - Epoch [18][6100/7330] lr: 1.000e-04, eta: 2 days, 2:41:23, time: 1.368, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1297, s0.acc: 95.2544, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1860, s1.loss_cls: 0.0617, s1.acc: 95.5108, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0876, s2.loss_cls: 0.0316, s2.acc: 95.3000, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0416, loss: 0.9675 2022-09-14 07:40:44,470 - mmdet - INFO - Epoch [18][6150/7330] lr: 1.000e-04, eta: 2 days, 2:40:16, time: 1.385, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1347, s0.acc: 95.0312, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1907, s1.loss_cls: 0.0658, s1.acc: 95.1694, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0897, s2.loss_cls: 0.0337, s2.acc: 94.9573, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0423, loss: 0.9866 2022-09-14 07:41:52,702 - mmdet - INFO - Epoch [18][6200/7330] lr: 1.000e-04, eta: 2 days, 2:39:07, time: 1.364, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1285, s0.acc: 95.1882, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1840, s1.loss_cls: 0.0622, s1.acc: 95.3501, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0871, s2.loss_cls: 0.0317, s2.acc: 95.0931, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0416, loss: 0.9529 2022-09-14 07:43:00,664 - mmdet - INFO - Epoch [18][6250/7330] lr: 1.000e-04, eta: 2 days, 2:37:58, time: 1.358, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1716, s0.loss_cls: 0.1376, s0.acc: 95.0718, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1927, s1.loss_cls: 0.0654, s1.acc: 95.2877, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0911, s2.loss_cls: 0.0341, s2.acc: 95.0346, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0425, loss: 0.9984 2022-09-14 07:44:08,519 - mmdet - INFO - Epoch [18][6300/7330] lr: 1.000e-04, eta: 2 days, 2:36:48, time: 1.359, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1247, s0.acc: 95.3652, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1799, s1.loss_cls: 0.0595, s1.acc: 95.6076, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0858, s2.loss_cls: 0.0307, s2.acc: 95.4017, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0407, loss: 0.9340 2022-09-14 07:45:16,413 - mmdet - INFO - Epoch [18][6350/7330] lr: 1.000e-04, eta: 2 days, 2:35:39, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1393, s0.acc: 94.9805, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1865, s1.loss_cls: 0.0654, s1.acc: 95.2947, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0886, s2.loss_cls: 0.0340, s2.acc: 95.0448, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0418, loss: 0.9951 2022-09-14 07:46:23,949 - mmdet - INFO - Epoch [18][6400/7330] lr: 1.000e-04, eta: 2 days, 2:34:30, time: 1.351, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1770, s0.loss_cls: 0.1299, s0.acc: 95.2856, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1874, s1.loss_cls: 0.0616, s1.acc: 95.5031, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0879, s2.loss_cls: 0.0314, s2.acc: 95.2832, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0418, loss: 0.9676 2022-09-14 07:47:32,383 - mmdet - INFO - Epoch [18][6450/7330] lr: 1.000e-04, eta: 2 days, 2:33:21, time: 1.369, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1837, s0.loss_cls: 0.1353, s0.acc: 95.1750, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1936, s1.loss_cls: 0.0645, s1.acc: 95.3538, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0914, s2.loss_cls: 0.0332, s2.acc: 95.1045, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0431, loss: 1.0022 2022-09-14 07:48:41,530 - mmdet - INFO - Epoch [18][6500/7330] lr: 1.000e-04, eta: 2 days, 2:32:13, time: 1.382, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1789, s0.loss_cls: 0.1374, s0.acc: 95.0125, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1882, s1.loss_cls: 0.0657, s1.acc: 95.2530, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0887, s2.loss_cls: 0.0339, s2.acc: 95.0556, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0416, loss: 0.9956 2022-09-14 07:49:49,416 - mmdet - INFO - Epoch [18][6550/7330] lr: 1.000e-04, eta: 2 days, 2:31:04, time: 1.359, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1724, s0.loss_cls: 0.1330, s0.acc: 95.1040, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1854, s1.loss_cls: 0.0640, s1.acc: 95.2462, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0876, s2.loss_cls: 0.0333, s2.acc: 95.0062, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0415, loss: 0.9680 2022-09-14 07:50:57,901 - mmdet - INFO - Epoch [18][6600/7330] lr: 1.000e-04, eta: 2 days, 2:29:56, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1338, s0.acc: 95.0825, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1926, s1.loss_cls: 0.0646, s1.acc: 95.3084, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0910, s2.loss_cls: 0.0337, s2.acc: 94.9540, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0429, loss: 1.0005 2022-09-14 07:52:06,031 - mmdet - INFO - Epoch [18][6650/7330] lr: 1.000e-04, eta: 2 days, 2:28:47, time: 1.363, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1743, s0.loss_cls: 0.1349, s0.acc: 95.1235, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1876, s1.loss_cls: 0.0644, s1.acc: 95.3724, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0882, s2.loss_cls: 0.0325, s2.acc: 95.2069, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0414, loss: 0.9828 2022-09-14 07:53:14,900 - mmdet - INFO - Epoch [18][6700/7330] lr: 1.000e-04, eta: 2 days, 2:27:39, time: 1.378, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1803, s0.loss_cls: 0.1341, s0.acc: 95.1782, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1851, s1.loss_cls: 0.0641, s1.acc: 95.2928, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0870, s2.loss_cls: 0.0329, s2.acc: 95.1076, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0408, loss: 0.9798 2022-09-14 07:54:24,470 - mmdet - INFO - Epoch [18][6750/7330] lr: 1.000e-04, eta: 2 days, 2:26:31, time: 1.391, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1727, s0.loss_cls: 0.1404, s0.acc: 94.9421, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1918, s1.loss_cls: 0.0676, s1.acc: 95.2180, s1.loss_bbox: 0.0861, s1.loss_mask: 0.0908, s2.loss_cls: 0.0346, s2.acc: 95.0520, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0424, loss: 1.0007 2022-09-14 07:55:34,018 - mmdet - INFO - Epoch [18][6800/7330] lr: 1.000e-04, eta: 2 days, 2:25:24, time: 1.389, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1782, s0.loss_cls: 0.1366, s0.acc: 94.9902, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1909, s1.loss_cls: 0.0665, s1.acc: 95.0735, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0904, s2.loss_cls: 0.0343, s2.acc: 94.8756, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0429, loss: 1.0069 2022-09-14 07:56:43,122 - mmdet - INFO - Epoch [18][6850/7330] lr: 1.000e-04, eta: 2 days, 2:24:16, time: 1.384, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1699, s0.loss_cls: 0.1416, s0.acc: 94.8486, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1962, s1.loss_cls: 0.0667, s1.acc: 95.0594, s1.loss_bbox: 0.0908, s1.loss_mask: 0.0939, s2.loss_cls: 0.0344, s2.acc: 94.8212, s2.loss_bbox: 0.0605, s2.loss_mask: 0.0446, loss: 1.0264 2022-09-14 07:57:51,495 - mmdet - INFO - Epoch [18][6900/7330] lr: 1.000e-04, eta: 2 days, 2:23:07, time: 1.366, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1756, s0.loss_cls: 0.1271, s0.acc: 95.2983, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1843, s1.loss_cls: 0.0611, s1.acc: 95.4902, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0869, s2.loss_cls: 0.0313, s2.acc: 95.3404, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0410, loss: 0.9608 2022-09-14 07:59:01,428 - mmdet - INFO - Epoch [18][6950/7330] lr: 1.000e-04, eta: 2 days, 2:22:00, time: 1.399, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1235, s0.acc: 95.5044, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1836, s1.loss_cls: 0.0591, s1.acc: 95.7044, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0870, s2.loss_cls: 0.0308, s2.acc: 95.4253, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0413, loss: 0.9420 2022-09-14 08:00:10,691 - mmdet - INFO - Epoch [18][7000/7330] lr: 1.000e-04, eta: 2 days, 2:20:52, time: 1.387, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1291, s0.acc: 95.2646, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1889, s1.loss_cls: 0.0619, s1.acc: 95.4027, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0892, s2.loss_cls: 0.0323, s2.acc: 95.2623, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0420, loss: 0.9637 2022-09-14 08:01:20,018 - mmdet - INFO - Epoch [18][7050/7330] lr: 1.000e-04, eta: 2 days, 2:19:44, time: 1.385, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1816, s0.loss_cls: 0.1296, s0.acc: 95.2200, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1864, s1.loss_cls: 0.0624, s1.acc: 95.4417, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0883, s2.loss_cls: 0.0320, s2.acc: 95.2203, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0419, loss: 0.9712 2022-09-14 08:02:28,819 - mmdet - INFO - Epoch [18][7100/7330] lr: 1.000e-04, eta: 2 days, 2:18:36, time: 1.378, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1330, s0.acc: 95.2932, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1856, s1.loss_cls: 0.0645, s1.acc: 95.4854, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0879, s2.loss_cls: 0.0332, s2.acc: 95.2192, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0415, loss: 0.9802 2022-09-14 08:03:37,481 - mmdet - INFO - Epoch [18][7150/7330] lr: 1.000e-04, eta: 2 days, 2:17:28, time: 1.373, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1348, s0.acc: 95.0706, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1820, s1.loss_cls: 0.0644, s1.acc: 95.2958, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0863, s2.loss_cls: 0.0332, s2.acc: 95.0450, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0407, loss: 0.9727 2022-09-14 08:04:46,282 - mmdet - INFO - Epoch [18][7200/7330] lr: 1.000e-04, eta: 2 days, 2:16:20, time: 1.376, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1739, s0.loss_cls: 0.1329, s0.acc: 95.1445, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1920, s1.loss_cls: 0.0635, s1.acc: 95.3743, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0907, s2.loss_cls: 0.0328, s2.acc: 95.0789, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0427, loss: 0.9930 2022-09-14 08:05:54,925 - mmdet - INFO - Epoch [18][7250/7330] lr: 1.000e-04, eta: 2 days, 2:15:11, time: 1.373, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1797, s0.loss_cls: 0.1378, s0.acc: 95.0732, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1938, s1.loss_cls: 0.0656, s1.acc: 95.3460, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0903, s2.loss_cls: 0.0335, s2.acc: 95.1199, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0425, loss: 1.0058 2022-09-14 08:07:02,727 - mmdet - INFO - Epoch [18][7300/7330] lr: 1.000e-04, eta: 2 days, 2:14:02, time: 1.354, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1316, s0.acc: 95.2273, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1934, s1.loss_cls: 0.0634, s1.acc: 95.3549, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0921, s2.loss_cls: 0.0326, s2.acc: 95.1037, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0438, loss: 0.9777 2022-09-14 08:07:53,475 - mmdet - INFO - Saving checkpoint at 18 epochs 2022-09-14 08:11:26,889 - mmdet - INFO - Evaluating bbox... 2022-09-14 08:12:27,430 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.566 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.751 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.628 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.426 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.609 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.685 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.601 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.775 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.863 2022-09-14 08:12:27,430 - mmdet - INFO - Evaluating segm... 2022-09-14 08:13:39,686 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.493 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.732 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.542 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.315 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.530 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.668 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.496 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.680 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.780 2022-09-14 08:13:40,913 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 08:13:40,914 - mmdet - INFO - Epoch(val) [18][313] bbox_mAP: 0.5660, bbox_mAP_50: 0.7510, bbox_mAP_75: 0.6280, bbox_mAP_s: 0.4260, bbox_mAP_m: 0.6090, bbox_mAP_l: 0.6850, bbox_mAP_copypaste: 0.566 0.751 0.628 0.426 0.609 0.685, segm_mAP: 0.4930, segm_mAP_50: 0.7320, segm_mAP_75: 0.5420, segm_mAP_s: 0.3150, segm_mAP_m: 0.5300, segm_mAP_l: 0.6680, segm_mAP_copypaste: 0.493 0.732 0.542 0.315 0.530 0.668 2022-09-14 08:16:32,693 - mmdet - INFO - Epoch [19][50/7330] lr: 1.000e-04, eta: 2 days, 2:13:14, time: 3.434, data_time: 2.048, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1322, s0.acc: 95.2112, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1861, s1.loss_cls: 0.0627, s1.acc: 95.4771, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0880, s2.loss_cls: 0.0319, s2.acc: 95.3316, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0415, loss: 0.9574 2022-09-14 08:17:42,535 - mmdet - INFO - Epoch [19][100/7330] lr: 1.000e-04, eta: 2 days, 2:12:07, time: 1.397, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1763, s0.loss_cls: 0.1296, s0.acc: 95.2319, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1905, s1.loss_cls: 0.0609, s1.acc: 95.4923, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0895, s2.loss_cls: 0.0308, s2.acc: 95.3076, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0424, loss: 0.9788 2022-09-14 08:18:51,474 - mmdet - INFO - Epoch [19][150/7330] lr: 1.000e-04, eta: 2 days, 2:10:59, time: 1.379, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1287, s0.acc: 95.2563, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1871, s1.loss_cls: 0.0623, s1.acc: 95.4636, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0879, s2.loss_cls: 0.0316, s2.acc: 95.2491, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0415, loss: 0.9568 2022-09-14 08:19:59,606 - mmdet - INFO - Epoch [19][200/7330] lr: 1.000e-04, eta: 2 days, 2:09:50, time: 1.362, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1703, s0.loss_cls: 0.1269, s0.acc: 95.2944, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1876, s1.loss_cls: 0.0610, s1.acc: 95.4171, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0882, s2.loss_cls: 0.0317, s2.acc: 95.1954, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0417, loss: 0.9599 2022-09-14 08:21:07,904 - mmdet - INFO - Epoch [19][250/7330] lr: 1.000e-04, eta: 2 days, 2:08:41, time: 1.366, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1200, s0.acc: 95.5513, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1806, s1.loss_cls: 0.0571, s1.acc: 95.6960, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0854, s2.loss_cls: 0.0298, s2.acc: 95.4816, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0400, loss: 0.9138 2022-09-14 08:22:16,014 - mmdet - INFO - Epoch [19][300/7330] lr: 1.000e-04, eta: 2 days, 2:07:32, time: 1.362, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1227, s0.acc: 95.5056, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1849, s1.loss_cls: 0.0582, s1.acc: 95.6869, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0876, s2.loss_cls: 0.0299, s2.acc: 95.5604, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0414, loss: 0.9358 2022-09-14 08:23:24,283 - mmdet - INFO - Epoch [19][350/7330] lr: 1.000e-04, eta: 2 days, 2:06:23, time: 1.365, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1736, s0.loss_cls: 0.1365, s0.acc: 94.9998, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1878, s1.loss_cls: 0.0654, s1.acc: 95.2034, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0883, s2.loss_cls: 0.0335, s2.acc: 95.0151, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0418, loss: 0.9869 2022-09-14 08:24:31,775 - mmdet - INFO - Epoch [19][400/7330] lr: 1.000e-04, eta: 2 days, 2:05:14, time: 1.350, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1699, s0.loss_cls: 0.1262, s0.acc: 95.4158, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1905, s1.loss_cls: 0.0600, s1.acc: 95.6114, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0906, s2.loss_cls: 0.0306, s2.acc: 95.4554, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0430, loss: 0.9586 2022-09-14 08:25:39,725 - mmdet - INFO - Epoch [19][450/7330] lr: 1.000e-04, eta: 2 days, 2:04:05, time: 1.359, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1297, s0.acc: 95.3628, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1786, s1.loss_cls: 0.0616, s1.acc: 95.6176, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0843, s2.loss_cls: 0.0315, s2.acc: 95.4953, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0401, loss: 0.9350 2022-09-14 08:26:47,426 - mmdet - INFO - Epoch [19][500/7330] lr: 1.000e-04, eta: 2 days, 2:02:55, time: 1.354, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1707, s0.loss_cls: 0.1289, s0.acc: 95.2778, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1933, s1.loss_cls: 0.0615, s1.acc: 95.5479, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0913, s2.loss_cls: 0.0320, s2.acc: 95.2036, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0432, loss: 0.9828 2022-09-14 08:27:55,251 - mmdet - INFO - Epoch [19][550/7330] lr: 1.000e-04, eta: 2 days, 2:01:46, time: 1.356, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1274, s0.acc: 95.3789, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1804, s1.loss_cls: 0.0617, s1.acc: 95.6054, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0851, s2.loss_cls: 0.0314, s2.acc: 95.4090, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0402, loss: 0.9400 2022-09-14 08:29:02,809 - mmdet - INFO - Epoch [19][600/7330] lr: 1.000e-04, eta: 2 days, 2:00:37, time: 1.351, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1775, s0.loss_cls: 0.1291, s0.acc: 95.2041, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1881, s1.loss_cls: 0.0614, s1.acc: 95.3921, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0888, s2.loss_cls: 0.0319, s2.acc: 95.1981, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0421, loss: 0.9742 2022-09-14 08:30:11,750 - mmdet - INFO - Epoch [19][650/7330] lr: 1.000e-04, eta: 2 days, 1:59:28, time: 1.379, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1336, s0.acc: 95.0762, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1913, s1.loss_cls: 0.0637, s1.acc: 95.2984, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0907, s2.loss_cls: 0.0330, s2.acc: 95.0188, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0429, loss: 0.9924 2022-09-14 08:31:19,899 - mmdet - INFO - Epoch [19][700/7330] lr: 1.000e-04, eta: 2 days, 1:58:20, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1273, s0.acc: 95.2507, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1830, s1.loss_cls: 0.0605, s1.acc: 95.5048, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0866, s2.loss_cls: 0.0315, s2.acc: 95.2358, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0412, loss: 0.9461 2022-09-14 08:32:29,007 - mmdet - INFO - Epoch [19][750/7330] lr: 1.000e-04, eta: 2 days, 1:57:12, time: 1.382, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1364, s0.acc: 95.0488, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1920, s1.loss_cls: 0.0643, s1.acc: 95.2801, s1.loss_bbox: 0.0881, s1.loss_mask: 0.0909, s2.loss_cls: 0.0332, s2.acc: 95.0503, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0425, loss: 0.9943 2022-09-14 08:33:37,599 - mmdet - INFO - Epoch [19][800/7330] lr: 1.000e-04, eta: 2 days, 1:56:03, time: 1.372, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1254, s0.acc: 95.2942, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1844, s1.loss_cls: 0.0588, s1.acc: 95.6298, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0874, s2.loss_cls: 0.0309, s2.acc: 95.3319, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0412, loss: 0.9436 2022-09-14 08:34:46,173 - mmdet - INFO - Epoch [19][850/7330] lr: 1.000e-04, eta: 2 days, 1:54:55, time: 1.371, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1676, s0.loss_cls: 0.1332, s0.acc: 95.1433, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1901, s1.loss_cls: 0.0638, s1.acc: 95.3587, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0894, s2.loss_cls: 0.0327, s2.acc: 95.0940, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0424, loss: 0.9792 2022-09-14 08:35:54,123 - mmdet - INFO - Epoch [19][900/7330] lr: 1.000e-04, eta: 2 days, 1:53:45, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1335, s0.acc: 95.0898, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1910, s1.loss_cls: 0.0633, s1.acc: 95.3219, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0912, s2.loss_cls: 0.0320, s2.acc: 95.1933, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0432, loss: 0.9926 2022-09-14 08:37:03,292 - mmdet - INFO - Epoch [19][950/7330] lr: 1.000e-04, eta: 2 days, 1:52:38, time: 1.384, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1793, s0.loss_cls: 0.1281, s0.acc: 95.3398, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1907, s1.loss_cls: 0.0602, s1.acc: 95.6580, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0898, s2.loss_cls: 0.0310, s2.acc: 95.5147, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0426, loss: 0.9713 2022-09-14 08:38:11,159 - mmdet - INFO - Epoch [19][1000/7330] lr: 1.000e-04, eta: 2 days, 1:51:28, time: 1.357, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1683, s0.loss_cls: 0.1282, s0.acc: 95.2925, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1895, s1.loss_cls: 0.0615, s1.acc: 95.5233, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0896, s2.loss_cls: 0.0315, s2.acc: 95.3313, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0421, loss: 0.9657 2022-09-14 08:39:18,963 - mmdet - INFO - Epoch [19][1050/7330] lr: 1.000e-04, eta: 2 days, 1:50:19, time: 1.356, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1659, s0.loss_cls: 0.1264, s0.acc: 95.4395, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1834, s1.loss_cls: 0.0593, s1.acc: 95.7784, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0868, s2.loss_cls: 0.0307, s2.acc: 95.4920, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0411, loss: 0.9444 2022-09-14 08:40:27,353 - mmdet - INFO - Epoch [19][1100/7330] lr: 1.000e-04, eta: 2 days, 1:49:10, time: 1.366, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1294, s0.acc: 95.3145, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1870, s1.loss_cls: 0.0610, s1.acc: 95.5270, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0881, s2.loss_cls: 0.0318, s2.acc: 95.2105, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0413, loss: 0.9644 2022-09-14 08:41:34,936 - mmdet - INFO - Epoch [19][1150/7330] lr: 1.000e-04, eta: 2 days, 1:48:01, time: 1.353, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1212, s0.acc: 95.5815, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1816, s1.loss_cls: 0.0573, s1.acc: 95.8371, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0854, s2.loss_cls: 0.0298, s2.acc: 95.5323, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0404, loss: 0.9306 2022-09-14 08:42:44,101 - mmdet - INFO - Epoch [19][1200/7330] lr: 1.000e-04, eta: 2 days, 1:46:53, time: 1.381, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1311, s0.acc: 95.2163, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1852, s1.loss_cls: 0.0625, s1.acc: 95.4049, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0877, s2.loss_cls: 0.0322, s2.acc: 95.2548, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0413, loss: 0.9582 2022-09-14 08:43:52,386 - mmdet - INFO - Epoch [19][1250/7330] lr: 1.000e-04, eta: 2 days, 1:45:44, time: 1.368, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1368, s0.acc: 94.9617, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1882, s1.loss_cls: 0.0656, s1.acc: 95.2242, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0887, s2.loss_cls: 0.0338, s2.acc: 94.9561, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0417, loss: 0.9873 2022-09-14 08:45:00,687 - mmdet - INFO - Epoch [19][1300/7330] lr: 1.000e-04, eta: 2 days, 1:44:35, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1288, s0.acc: 95.1646, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1924, s1.loss_cls: 0.0625, s1.acc: 95.3383, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0917, s2.loss_cls: 0.0322, s2.acc: 95.1853, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0427, loss: 0.9784 2022-09-14 08:46:08,117 - mmdet - INFO - Epoch [19][1350/7330] lr: 1.000e-04, eta: 2 days, 1:43:26, time: 1.347, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1721, s0.loss_cls: 0.1278, s0.acc: 95.2791, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1883, s1.loss_cls: 0.0610, s1.acc: 95.5125, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0893, s2.loss_cls: 0.0312, s2.acc: 95.3059, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0420, loss: 0.9674 2022-09-14 08:47:16,420 - mmdet - INFO - Epoch [19][1400/7330] lr: 1.000e-04, eta: 2 days, 1:42:17, time: 1.368, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1320, s0.acc: 95.1719, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1865, s1.loss_cls: 0.0629, s1.acc: 95.4444, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0885, s2.loss_cls: 0.0321, s2.acc: 95.3036, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0419, loss: 0.9658 2022-09-14 08:48:24,311 - mmdet - INFO - Epoch [19][1450/7330] lr: 1.000e-04, eta: 2 days, 1:41:08, time: 1.358, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1302, s0.acc: 95.2361, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1873, s1.loss_cls: 0.0618, s1.acc: 95.4618, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0887, s2.loss_cls: 0.0316, s2.acc: 95.2173, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0418, loss: 0.9715 2022-09-14 08:49:32,538 - mmdet - INFO - Epoch [19][1500/7330] lr: 1.000e-04, eta: 2 days, 1:39:59, time: 1.364, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1698, s0.loss_cls: 0.1344, s0.acc: 95.0710, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1928, s1.loss_cls: 0.0637, s1.acc: 95.3454, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0899, s2.loss_cls: 0.0321, s2.acc: 95.2249, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0421, loss: 0.9900 2022-09-14 08:50:40,889 - mmdet - INFO - Epoch [19][1550/7330] lr: 1.000e-04, eta: 2 days, 1:38:50, time: 1.367, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1322, s0.acc: 95.1406, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1847, s1.loss_cls: 0.0629, s1.acc: 95.4254, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0871, s2.loss_cls: 0.0323, s2.acc: 95.2507, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0410, loss: 0.9595 2022-09-14 08:51:48,042 - mmdet - INFO - Epoch [19][1600/7330] lr: 1.000e-04, eta: 2 days, 1:37:40, time: 1.343, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1744, s0.loss_cls: 0.1284, s0.acc: 95.3210, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1818, s1.loss_cls: 0.0604, s1.acc: 95.5921, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0863, s2.loss_cls: 0.0315, s2.acc: 95.2712, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0410, loss: 0.9492 2022-09-14 08:52:55,760 - mmdet - INFO - Epoch [19][1650/7330] lr: 1.000e-04, eta: 2 days, 1:36:31, time: 1.355, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1707, s0.loss_cls: 0.1281, s0.acc: 95.3281, s0.loss_bbox: 0.0714, s0.loss_mask: 0.1867, s1.loss_cls: 0.0616, s1.acc: 95.4520, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0878, s2.loss_cls: 0.0315, s2.acc: 95.2041, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0414, loss: 0.9554 2022-09-14 08:54:04,313 - mmdet - INFO - Epoch [19][1700/7330] lr: 1.000e-04, eta: 2 days, 1:35:23, time: 1.371, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1739, s0.loss_cls: 0.1380, s0.acc: 94.9473, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1902, s1.loss_cls: 0.0671, s1.acc: 95.0793, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0903, s2.loss_cls: 0.0345, s2.acc: 94.9395, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0430, loss: 0.9948 2022-09-14 08:55:12,286 - mmdet - INFO - Epoch [19][1750/7330] lr: 1.000e-04, eta: 2 days, 1:34:13, time: 1.359, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1306, s0.acc: 95.1733, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1869, s1.loss_cls: 0.0624, s1.acc: 95.3992, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0890, s2.loss_cls: 0.0319, s2.acc: 95.2342, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0425, loss: 0.9709 2022-09-14 08:56:20,715 - mmdet - INFO - Epoch [19][1800/7330] lr: 1.000e-04, eta: 2 days, 1:33:05, time: 1.367, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1797, s0.loss_cls: 0.1362, s0.acc: 94.9412, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1909, s1.loss_cls: 0.0653, s1.acc: 95.1880, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0903, s2.loss_cls: 0.0335, s2.acc: 95.0578, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0426, loss: 1.0026 2022-09-14 08:57:28,758 - mmdet - INFO - Epoch [19][1850/7330] lr: 1.000e-04, eta: 2 days, 1:31:56, time: 1.362, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1339, s0.acc: 95.0637, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1912, s1.loss_cls: 0.0637, s1.acc: 95.2943, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0897, s2.loss_cls: 0.0329, s2.acc: 95.1019, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0427, loss: 0.9895 2022-09-14 08:58:35,679 - mmdet - INFO - Epoch [19][1900/7330] lr: 1.000e-04, eta: 2 days, 1:30:46, time: 1.339, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1264, s0.acc: 95.4131, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1841, s1.loss_cls: 0.0598, s1.acc: 95.6310, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0871, s2.loss_cls: 0.0306, s2.acc: 95.4803, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0413, loss: 0.9433 2022-09-14 08:59:42,679 - mmdet - INFO - Epoch [19][1950/7330] lr: 1.000e-04, eta: 2 days, 1:29:36, time: 1.340, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1286, s0.acc: 95.3430, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1941, s1.loss_cls: 0.0617, s1.acc: 95.4895, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0914, s2.loss_cls: 0.0316, s2.acc: 95.3263, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0433, loss: 0.9716 2022-09-14 09:00:50,630 - mmdet - INFO - Epoch [19][2000/7330] lr: 1.000e-04, eta: 2 days, 1:28:27, time: 1.359, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1260, s0.acc: 95.2952, s0.loss_bbox: 0.0714, s0.loss_mask: 0.1854, s1.loss_cls: 0.0600, s1.acc: 95.5331, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0877, s2.loss_cls: 0.0311, s2.acc: 95.2357, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0416, loss: 0.9562 2022-09-14 09:01:58,419 - mmdet - INFO - Epoch [19][2050/7330] lr: 1.000e-04, eta: 2 days, 1:27:17, time: 1.356, data_time: 0.015, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1290, s0.acc: 95.3257, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1866, s1.loss_cls: 0.0614, s1.acc: 95.5053, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0886, s2.loss_cls: 0.0314, s2.acc: 95.2222, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0419, loss: 0.9544 2022-09-14 09:03:07,533 - mmdet - INFO - Epoch [19][2100/7330] lr: 1.000e-04, eta: 2 days, 1:26:09, time: 1.382, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1670, s0.loss_cls: 0.1288, s0.acc: 95.3538, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1832, s1.loss_cls: 0.0611, s1.acc: 95.6502, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0864, s2.loss_cls: 0.0316, s2.acc: 95.3662, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0410, loss: 0.9443 2022-09-14 09:04:16,590 - mmdet - INFO - Epoch [19][2150/7330] lr: 1.000e-04, eta: 2 days, 1:25:01, time: 1.381, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1357, s0.acc: 95.0312, s0.loss_bbox: 0.0772, s0.loss_mask: 0.1927, s1.loss_cls: 0.0644, s1.acc: 95.2290, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0908, s2.loss_cls: 0.0328, s2.acc: 95.0380, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0428, loss: 0.9913 2022-09-14 09:05:23,578 - mmdet - INFO - Epoch [19][2200/7330] lr: 1.000e-04, eta: 2 days, 1:23:51, time: 1.340, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1717, s0.loss_cls: 0.1295, s0.acc: 95.3420, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1912, s1.loss_cls: 0.0604, s1.acc: 95.6468, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0898, s2.loss_cls: 0.0310, s2.acc: 95.3775, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0423, loss: 0.9730 2022-09-14 09:06:31,874 - mmdet - INFO - Epoch [19][2250/7330] lr: 1.000e-04, eta: 2 days, 1:22:43, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1699, s0.loss_cls: 0.1269, s0.acc: 95.3308, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1838, s1.loss_cls: 0.0599, s1.acc: 95.5793, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0864, s2.loss_cls: 0.0310, s2.acc: 95.3925, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0408, loss: 0.9463 2022-09-14 09:07:39,058 - mmdet - INFO - Epoch [19][2300/7330] lr: 1.000e-04, eta: 2 days, 1:21:33, time: 1.344, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1758, s0.loss_cls: 0.1404, s0.acc: 94.9487, s0.loss_bbox: 0.0784, s0.loss_mask: 0.1913, s1.loss_cls: 0.0669, s1.acc: 95.1701, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0899, s2.loss_cls: 0.0344, s2.acc: 94.8901, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0429, loss: 1.0108 2022-09-14 09:08:47,848 - mmdet - INFO - Epoch [19][2350/7330] lr: 1.000e-04, eta: 2 days, 1:20:24, time: 1.376, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1679, s0.loss_cls: 0.1370, s0.acc: 95.0083, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1906, s1.loss_cls: 0.0654, s1.acc: 95.2263, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0905, s2.loss_cls: 0.0332, s2.acc: 95.0419, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0427, loss: 0.9881 2022-09-14 09:09:56,245 - mmdet - INFO - Epoch [19][2400/7330] lr: 1.000e-04, eta: 2 days, 1:19:16, time: 1.368, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1281, s0.acc: 95.2537, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1849, s1.loss_cls: 0.0614, s1.acc: 95.4740, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0875, s2.loss_cls: 0.0314, s2.acc: 95.3787, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0416, loss: 0.9570 2022-09-14 09:11:03,390 - mmdet - INFO - Epoch [19][2450/7330] lr: 1.000e-04, eta: 2 days, 1:18:06, time: 1.343, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1328, s0.acc: 95.0483, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1873, s1.loss_cls: 0.0642, s1.acc: 95.2923, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0888, s2.loss_cls: 0.0334, s2.acc: 94.9892, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0423, loss: 0.9716 2022-09-14 09:12:11,951 - mmdet - INFO - Epoch [19][2500/7330] lr: 1.000e-04, eta: 2 days, 1:16:57, time: 1.371, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1743, s0.loss_cls: 0.1331, s0.acc: 95.1387, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1857, s1.loss_cls: 0.0627, s1.acc: 95.3986, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0879, s2.loss_cls: 0.0324, s2.acc: 95.1639, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0416, loss: 0.9788 2022-09-14 09:13:20,101 - mmdet - INFO - Epoch [19][2550/7330] lr: 1.000e-04, eta: 2 days, 1:15:48, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1398, s0.acc: 94.9656, s0.loss_bbox: 0.0785, s0.loss_mask: 0.1887, s1.loss_cls: 0.0658, s1.acc: 95.2437, s1.loss_bbox: 0.0885, s1.loss_mask: 0.0893, s2.loss_cls: 0.0343, s2.acc: 95.0163, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0420, loss: 1.0102 2022-09-14 09:14:27,550 - mmdet - INFO - Epoch [19][2600/7330] lr: 1.000e-04, eta: 2 days, 1:14:39, time: 1.349, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1300, s0.acc: 95.1768, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1924, s1.loss_cls: 0.0622, s1.acc: 95.3929, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0912, s2.loss_cls: 0.0326, s2.acc: 95.1091, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0431, loss: 0.9803 2022-09-14 09:15:36,335 - mmdet - INFO - Epoch [19][2650/7330] lr: 1.000e-04, eta: 2 days, 1:13:31, time: 1.376, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1766, s0.loss_cls: 0.1300, s0.acc: 95.2615, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1859, s1.loss_cls: 0.0625, s1.acc: 95.4401, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0875, s2.loss_cls: 0.0320, s2.acc: 95.2461, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0413, loss: 0.9658 2022-09-14 09:16:45,060 - mmdet - INFO - Epoch [19][2700/7330] lr: 1.000e-04, eta: 2 days, 1:12:22, time: 1.375, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1362, s0.acc: 95.0686, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1886, s1.loss_cls: 0.0662, s1.acc: 95.3041, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0891, s2.loss_cls: 0.0338, s2.acc: 95.0409, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0422, loss: 0.9926 2022-09-14 09:17:52,718 - mmdet - INFO - Epoch [19][2750/7330] lr: 1.000e-04, eta: 2 days, 1:11:13, time: 1.353, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1364, s0.acc: 94.9644, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1870, s1.loss_cls: 0.0646, s1.acc: 95.2412, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0883, s2.loss_cls: 0.0333, s2.acc: 94.9990, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0418, loss: 0.9802 2022-09-14 09:19:01,019 - mmdet - INFO - Epoch [19][2800/7330] lr: 1.000e-04, eta: 2 days, 1:10:04, time: 1.366, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1703, s0.loss_cls: 0.1314, s0.acc: 95.2283, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1857, s1.loss_cls: 0.0618, s1.acc: 95.5835, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0883, s2.loss_cls: 0.0313, s2.acc: 95.3366, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0417, loss: 0.9668 2022-09-14 09:20:08,616 - mmdet - INFO - Epoch [19][2850/7330] lr: 1.000e-04, eta: 2 days, 1:08:55, time: 1.352, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1742, s0.loss_cls: 0.1420, s0.acc: 94.8489, s0.loss_bbox: 0.0802, s0.loss_mask: 0.1989, s1.loss_cls: 0.0682, s1.acc: 95.0112, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0942, s2.loss_cls: 0.0351, s2.acc: 94.7619, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0450, loss: 1.0315 2022-09-14 09:21:16,323 - mmdet - INFO - Epoch [19][2900/7330] lr: 1.000e-04, eta: 2 days, 1:07:45, time: 1.354, data_time: 0.015, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1302, s0.acc: 95.1997, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1864, s1.loss_cls: 0.0626, s1.acc: 95.4315, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0876, s2.loss_cls: 0.0324, s2.acc: 95.1671, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0411, loss: 0.9714 2022-09-14 09:22:24,007 - mmdet - INFO - Epoch [19][2950/7330] lr: 1.000e-04, eta: 2 days, 1:06:36, time: 1.354, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1304, s0.acc: 95.2627, s0.loss_bbox: 0.0675, s0.loss_mask: 0.1857, s1.loss_cls: 0.0631, s1.acc: 95.3999, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0877, s2.loss_cls: 0.0319, s2.acc: 95.2398, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0417, loss: 0.9575 2022-09-14 09:23:32,473 - mmdet - INFO - Epoch [19][3000/7330] lr: 1.000e-04, eta: 2 days, 1:05:27, time: 1.369, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1735, s0.loss_cls: 0.1379, s0.acc: 95.0115, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1936, s1.loss_cls: 0.0668, s1.acc: 95.1839, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0911, s2.loss_cls: 0.0348, s2.acc: 94.9013, s2.loss_bbox: 0.0577, s2.loss_mask: 0.0433, loss: 1.0126 2022-09-14 09:24:40,912 - mmdet - INFO - Epoch [19][3050/7330] lr: 1.000e-04, eta: 2 days, 1:04:19, time: 1.369, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1743, s0.loss_cls: 0.1305, s0.acc: 95.3269, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1862, s1.loss_cls: 0.0622, s1.acc: 95.5399, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0884, s2.loss_cls: 0.0318, s2.acc: 95.3860, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0413, loss: 0.9674 2022-09-14 09:25:49,406 - mmdet - INFO - Epoch [19][3100/7330] lr: 1.000e-04, eta: 2 days, 1:03:10, time: 1.368, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1358, s0.acc: 95.0884, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1892, s1.loss_cls: 0.0646, s1.acc: 95.3766, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0882, s2.loss_cls: 0.0327, s2.acc: 95.1820, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0416, loss: 0.9897 2022-09-14 09:26:58,453 - mmdet - INFO - Epoch [19][3150/7330] lr: 1.000e-04, eta: 2 days, 1:02:02, time: 1.383, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1365, s0.acc: 95.0530, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1867, s1.loss_cls: 0.0647, s1.acc: 95.2970, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0889, s2.loss_cls: 0.0332, s2.acc: 95.0496, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0425, loss: 0.9907 2022-09-14 09:28:06,654 - mmdet - INFO - Epoch [19][3200/7330] lr: 1.000e-04, eta: 2 days, 1:00:53, time: 1.361, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1616, s0.loss_cls: 0.1344, s0.acc: 95.0952, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1855, s1.loss_cls: 0.0655, s1.acc: 95.2730, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0871, s2.loss_cls: 0.0332, s2.acc: 95.0541, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0412, loss: 0.9672 2022-09-14 09:29:14,484 - mmdet - INFO - Epoch [19][3250/7330] lr: 1.000e-04, eta: 2 days, 0:59:44, time: 1.359, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1718, s0.loss_cls: 0.1356, s0.acc: 95.1357, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1907, s1.loss_cls: 0.0653, s1.acc: 95.3524, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0898, s2.loss_cls: 0.0336, s2.acc: 95.1654, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0426, loss: 0.9884 2022-09-14 09:30:23,850 - mmdet - INFO - Epoch [19][3300/7330] lr: 1.000e-04, eta: 2 days, 0:58:36, time: 1.387, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1273, s0.acc: 95.2468, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1880, s1.loss_cls: 0.0608, s1.acc: 95.4214, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0885, s2.loss_cls: 0.0312, s2.acc: 95.1966, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0418, loss: 0.9546 2022-09-14 09:31:31,290 - mmdet - INFO - Epoch [19][3350/7330] lr: 1.000e-04, eta: 2 days, 0:57:27, time: 1.348, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1308, s0.acc: 95.1870, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1906, s1.loss_cls: 0.0613, s1.acc: 95.5094, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0899, s2.loss_cls: 0.0315, s2.acc: 95.3627, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0427, loss: 0.9669 2022-09-14 09:32:39,891 - mmdet - INFO - Epoch [19][3400/7330] lr: 1.000e-04, eta: 2 days, 0:56:18, time: 1.372, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1388, s0.acc: 94.8662, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1902, s1.loss_cls: 0.0653, s1.acc: 95.1212, s1.loss_bbox: 0.0906, s1.loss_mask: 0.0900, s2.loss_cls: 0.0340, s2.acc: 94.9274, s2.loss_bbox: 0.0591, s2.loss_mask: 0.0429, loss: 1.0136 2022-09-14 09:33:48,445 - mmdet - INFO - Epoch [19][3450/7330] lr: 1.000e-04, eta: 2 days, 0:55:10, time: 1.372, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1300, s0.acc: 95.2158, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1855, s1.loss_cls: 0.0632, s1.acc: 95.3945, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0881, s2.loss_cls: 0.0323, s2.acc: 95.2099, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0416, loss: 0.9684 2022-09-14 09:34:57,821 - mmdet - INFO - Epoch [19][3500/7330] lr: 1.000e-04, eta: 2 days, 0:54:02, time: 1.388, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1291, s0.acc: 95.2817, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1905, s1.loss_cls: 0.0618, s1.acc: 95.4777, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0897, s2.loss_cls: 0.0318, s2.acc: 95.2768, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0427, loss: 0.9681 2022-09-14 09:36:05,407 - mmdet - INFO - Epoch [19][3550/7330] lr: 1.000e-04, eta: 2 days, 0:52:53, time: 1.352, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1357, s0.acc: 95.1206, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1867, s1.loss_cls: 0.0659, s1.acc: 95.2880, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0884, s2.loss_cls: 0.0335, s2.acc: 95.0524, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0416, loss: 0.9813 2022-09-14 09:37:13,367 - mmdet - INFO - Epoch [19][3600/7330] lr: 1.000e-04, eta: 2 days, 0:51:44, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1740, s0.loss_cls: 0.1267, s0.acc: 95.4485, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1857, s1.loss_cls: 0.0606, s1.acc: 95.6981, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0873, s2.loss_cls: 0.0309, s2.acc: 95.4666, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0416, loss: 0.9546 2022-09-14 09:38:20,857 - mmdet - INFO - Epoch [19][3650/7330] lr: 1.000e-04, eta: 2 days, 0:50:34, time: 1.350, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1381, s0.acc: 95.0317, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1876, s1.loss_cls: 0.0662, s1.acc: 95.2244, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0878, s2.loss_cls: 0.0340, s2.acc: 94.9376, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0412, loss: 0.9917 2022-09-14 09:39:28,212 - mmdet - INFO - Epoch [19][3700/7330] lr: 1.000e-04, eta: 2 days, 0:49:25, time: 1.347, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1733, s0.loss_cls: 0.1235, s0.acc: 95.5061, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1817, s1.loss_cls: 0.0590, s1.acc: 95.6755, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0862, s2.loss_cls: 0.0302, s2.acc: 95.5137, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0408, loss: 0.9331 2022-09-14 09:40:36,964 - mmdet - INFO - Epoch [19][3750/7330] lr: 1.000e-04, eta: 2 days, 0:48:16, time: 1.375, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1806, s0.loss_cls: 0.1326, s0.acc: 95.1277, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1869, s1.loss_cls: 0.0642, s1.acc: 95.2706, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0885, s2.loss_cls: 0.0329, s2.acc: 95.0525, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0420, loss: 0.9831 2022-09-14 09:41:45,374 - mmdet - INFO - Epoch [19][3800/7330] lr: 1.000e-04, eta: 2 days, 0:47:08, time: 1.368, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1318, s0.acc: 95.2017, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1899, s1.loss_cls: 0.0627, s1.acc: 95.3884, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0908, s2.loss_cls: 0.0326, s2.acc: 95.2126, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0431, loss: 0.9801 2022-09-14 09:42:53,624 - mmdet - INFO - Epoch [19][3850/7330] lr: 1.000e-04, eta: 2 days, 0:45:59, time: 1.365, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1605, s0.loss_cls: 0.1264, s0.acc: 95.4385, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1818, s1.loss_cls: 0.0608, s1.acc: 95.6129, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0861, s2.loss_cls: 0.0310, s2.acc: 95.4504, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0409, loss: 0.9318 2022-09-14 09:44:01,525 - mmdet - INFO - Epoch [19][3900/7330] lr: 1.000e-04, eta: 2 days, 0:44:50, time: 1.356, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1304, s0.acc: 95.1428, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1896, s1.loss_cls: 0.0615, s1.acc: 95.4113, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0902, s2.loss_cls: 0.0322, s2.acc: 95.1804, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0427, loss: 0.9815 2022-09-14 09:45:09,782 - mmdet - INFO - Epoch [19][3950/7330] lr: 1.000e-04, eta: 2 days, 0:43:41, time: 1.367, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1288, s0.acc: 95.2620, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1824, s1.loss_cls: 0.0619, s1.acc: 95.5385, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0861, s2.loss_cls: 0.0319, s2.acc: 95.2631, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0404, loss: 0.9588 2022-09-14 09:46:17,594 - mmdet - INFO - Epoch [19][4000/7330] lr: 1.000e-04, eta: 2 days, 0:42:32, time: 1.356, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1338, s0.acc: 95.0769, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1869, s1.loss_cls: 0.0643, s1.acc: 95.2958, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0884, s2.loss_cls: 0.0334, s2.acc: 95.0250, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0419, loss: 0.9871 2022-09-14 09:47:25,760 - mmdet - INFO - Epoch [19][4050/7330] lr: 1.000e-04, eta: 2 days, 0:41:23, time: 1.363, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1707, s0.loss_cls: 0.1284, s0.acc: 95.2334, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1969, s1.loss_cls: 0.0614, s1.acc: 95.5015, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0930, s2.loss_cls: 0.0317, s2.acc: 95.1688, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0436, loss: 0.9859 2022-09-14 09:48:35,367 - mmdet - INFO - Epoch [19][4100/7330] lr: 1.000e-04, eta: 2 days, 0:40:15, time: 1.392, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1763, s0.loss_cls: 0.1363, s0.acc: 95.1179, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1948, s1.loss_cls: 0.0652, s1.acc: 95.3246, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0907, s2.loss_cls: 0.0334, s2.acc: 95.0375, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0428, loss: 1.0049 2022-09-14 09:49:43,645 - mmdet - INFO - Epoch [19][4150/7330] lr: 1.000e-04, eta: 2 days, 0:39:06, time: 1.365, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1753, s0.loss_cls: 0.1345, s0.acc: 95.1729, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1878, s1.loss_cls: 0.0642, s1.acc: 95.4232, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0886, s2.loss_cls: 0.0330, s2.acc: 95.2137, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0423, loss: 0.9776 2022-09-14 09:50:52,758 - mmdet - INFO - Epoch [19][4200/7330] lr: 1.000e-04, eta: 2 days, 0:37:59, time: 1.382, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1709, s0.loss_cls: 0.1292, s0.acc: 95.2566, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1861, s1.loss_cls: 0.0617, s1.acc: 95.5077, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0878, s2.loss_cls: 0.0316, s2.acc: 95.2589, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0417, loss: 0.9635 2022-09-14 09:52:00,551 - mmdet - INFO - Epoch [19][4250/7330] lr: 1.000e-04, eta: 2 days, 0:36:49, time: 1.356, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1235, s0.acc: 95.4160, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1818, s1.loss_cls: 0.0590, s1.acc: 95.6399, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0865, s2.loss_cls: 0.0305, s2.acc: 95.4567, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0412, loss: 0.9401 2022-09-14 09:53:07,922 - mmdet - INFO - Epoch [19][4300/7330] lr: 1.000e-04, eta: 2 days, 0:35:40, time: 1.346, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1795, s0.loss_cls: 0.1303, s0.acc: 95.2407, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1888, s1.loss_cls: 0.0623, s1.acc: 95.4775, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0894, s2.loss_cls: 0.0317, s2.acc: 95.2524, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0423, loss: 0.9806 2022-09-14 09:54:16,410 - mmdet - INFO - Epoch [19][4350/7330] lr: 1.000e-04, eta: 2 days, 0:34:31, time: 1.371, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1277, s0.acc: 95.2856, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1827, s1.loss_cls: 0.0610, s1.acc: 95.5134, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0861, s2.loss_cls: 0.0310, s2.acc: 95.3595, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0412, loss: 0.9531 2022-09-14 09:55:24,891 - mmdet - INFO - Epoch [19][4400/7330] lr: 1.000e-04, eta: 2 days, 0:33:23, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1220, s0.acc: 95.6074, s0.loss_bbox: 0.0675, s0.loss_mask: 0.1767, s1.loss_cls: 0.0570, s1.acc: 95.8909, s1.loss_bbox: 0.0772, s1.loss_mask: 0.0838, s2.loss_cls: 0.0290, s2.acc: 95.7627, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0395, loss: 0.9132 2022-09-14 09:56:32,967 - mmdet - INFO - Epoch [19][4450/7330] lr: 1.000e-04, eta: 2 days, 0:32:14, time: 1.361, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1719, s0.loss_cls: 0.1223, s0.acc: 95.4761, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1827, s1.loss_cls: 0.0573, s1.acc: 95.8131, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0857, s2.loss_cls: 0.0297, s2.acc: 95.5729, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0406, loss: 0.9363 2022-09-14 09:57:41,966 - mmdet - INFO - Epoch [19][4500/7330] lr: 1.000e-04, eta: 2 days, 0:31:05, time: 1.380, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1363, s0.acc: 95.1206, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1848, s1.loss_cls: 0.0647, s1.acc: 95.3458, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0878, s2.loss_cls: 0.0332, s2.acc: 95.1782, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0420, loss: 0.9745 2022-09-14 09:58:50,071 - mmdet - INFO - Epoch [19][4550/7330] lr: 1.000e-04, eta: 2 days, 0:29:57, time: 1.362, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1634, s0.loss_cls: 0.1273, s0.acc: 95.3186, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1898, s1.loss_cls: 0.0598, s1.acc: 95.5255, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0897, s2.loss_cls: 0.0312, s2.acc: 95.1944, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0424, loss: 0.9553 2022-09-14 09:59:58,743 - mmdet - INFO - Epoch [19][4600/7330] lr: 1.000e-04, eta: 2 days, 0:28:48, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1302, s0.acc: 95.1609, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1906, s1.loss_cls: 0.0623, s1.acc: 95.3795, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0898, s2.loss_cls: 0.0323, s2.acc: 95.1249, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0420, loss: 0.9793 2022-09-14 10:01:07,598 - mmdet - INFO - Epoch [19][4650/7330] lr: 1.000e-04, eta: 2 days, 0:27:40, time: 1.377, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1257, s0.acc: 95.4016, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1859, s1.loss_cls: 0.0604, s1.acc: 95.6129, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0873, s2.loss_cls: 0.0310, s2.acc: 95.3995, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0412, loss: 0.9456 2022-09-14 10:02:16,021 - mmdet - INFO - Epoch [19][4700/7330] lr: 1.000e-04, eta: 2 days, 0:26:31, time: 1.369, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1762, s0.loss_cls: 0.1348, s0.acc: 95.1504, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1859, s1.loss_cls: 0.0647, s1.acc: 95.3360, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0876, s2.loss_cls: 0.0333, s2.acc: 95.0939, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0415, loss: 0.9754 2022-09-14 10:03:24,855 - mmdet - INFO - Epoch [19][4750/7330] lr: 1.000e-04, eta: 2 days, 0:25:23, time: 1.375, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1285, s0.acc: 95.1738, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1905, s1.loss_cls: 0.0609, s1.acc: 95.3451, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0898, s2.loss_cls: 0.0314, s2.acc: 95.1389, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0425, loss: 0.9755 2022-09-14 10:04:33,678 - mmdet - INFO - Epoch [19][4800/7330] lr: 1.000e-04, eta: 2 days, 0:24:15, time: 1.378, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1335, s0.acc: 95.0681, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1901, s1.loss_cls: 0.0635, s1.acc: 95.3238, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0899, s2.loss_cls: 0.0323, s2.acc: 95.1439, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0423, loss: 0.9832 2022-09-14 10:05:41,951 - mmdet - INFO - Epoch [19][4850/7330] lr: 1.000e-04, eta: 2 days, 0:23:06, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1310, s0.acc: 95.2327, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1880, s1.loss_cls: 0.0630, s1.acc: 95.4014, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0900, s2.loss_cls: 0.0321, s2.acc: 95.1904, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0427, loss: 0.9722 2022-09-14 10:06:50,763 - mmdet - INFO - Epoch [19][4900/7330] lr: 1.000e-04, eta: 2 days, 0:21:58, time: 1.376, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1792, s0.loss_cls: 0.1278, s0.acc: 95.3191, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1887, s1.loss_cls: 0.0597, s1.acc: 95.6033, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0890, s2.loss_cls: 0.0306, s2.acc: 95.4412, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0419, loss: 0.9679 2022-09-14 10:08:00,291 - mmdet - INFO - Epoch [19][4950/7330] lr: 1.000e-04, eta: 2 days, 0:20:50, time: 1.391, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1360, s0.acc: 95.0173, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1889, s1.loss_cls: 0.0653, s1.acc: 95.1336, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0896, s2.loss_cls: 0.0335, s2.acc: 94.8587, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0424, loss: 0.9926 2022-09-14 10:09:09,746 - mmdet - INFO - Epoch [19][5000/7330] lr: 1.000e-04, eta: 2 days, 0:19:43, time: 1.389, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1750, s0.loss_cls: 0.1329, s0.acc: 95.1343, s0.loss_bbox: 0.0760, s0.loss_mask: 0.1868, s1.loss_cls: 0.0643, s1.acc: 95.2864, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0891, s2.loss_cls: 0.0329, s2.acc: 95.1269, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0422, loss: 0.9855 2022-09-14 10:10:18,884 - mmdet - INFO - Epoch [19][5050/7330] lr: 1.000e-04, eta: 2 days, 0:18:35, time: 1.383, data_time: 0.037, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1269, s0.acc: 95.3850, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1925, s1.loss_cls: 0.0595, s1.acc: 95.6318, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0918, s2.loss_cls: 0.0311, s2.acc: 95.3098, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0432, loss: 0.9635 2022-09-14 10:11:26,693 - mmdet - INFO - Epoch [19][5100/7330] lr: 1.000e-04, eta: 2 days, 0:17:25, time: 1.356, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1236, s0.acc: 95.4614, s0.loss_bbox: 0.0714, s0.loss_mask: 0.1868, s1.loss_cls: 0.0584, s1.acc: 95.7658, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0878, s2.loss_cls: 0.0302, s2.acc: 95.5616, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0409, loss: 0.9493 2022-09-14 10:12:34,920 - mmdet - INFO - Epoch [19][5150/7330] lr: 1.000e-04, eta: 2 days, 0:16:17, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1237, s0.acc: 95.4636, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1893, s1.loss_cls: 0.0585, s1.acc: 95.7450, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0892, s2.loss_cls: 0.0304, s2.acc: 95.4412, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0423, loss: 0.9546 2022-09-14 10:13:43,075 - mmdet - INFO - Epoch [19][5200/7330] lr: 1.000e-04, eta: 2 days, 0:15:08, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1752, s0.loss_cls: 0.1278, s0.acc: 95.3354, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1802, s1.loss_cls: 0.0611, s1.acc: 95.5273, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0850, s2.loss_cls: 0.0309, s2.acc: 95.3831, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0405, loss: 0.9442 2022-09-14 10:14:51,832 - mmdet - INFO - Epoch [19][5250/7330] lr: 1.000e-04, eta: 2 days, 0:13:59, time: 1.375, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1626, s0.loss_cls: 0.1266, s0.acc: 95.3035, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1885, s1.loss_cls: 0.0603, s1.acc: 95.5115, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0895, s2.loss_cls: 0.0313, s2.acc: 95.2683, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0425, loss: 0.9604 2022-09-14 10:15:59,817 - mmdet - INFO - Epoch [19][5300/7330] lr: 1.000e-04, eta: 2 days, 0:12:50, time: 1.360, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1740, s0.loss_cls: 0.1233, s0.acc: 95.4214, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1875, s1.loss_cls: 0.0574, s1.acc: 95.7457, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0888, s2.loss_cls: 0.0295, s2.acc: 95.5181, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0420, loss: 0.9496 2022-09-14 10:17:07,820 - mmdet - INFO - Epoch [19][5350/7330] lr: 1.000e-04, eta: 2 days, 0:11:41, time: 1.360, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1750, s0.loss_cls: 0.1298, s0.acc: 95.0332, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1957, s1.loss_cls: 0.0617, s1.acc: 95.2969, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0921, s2.loss_cls: 0.0315, s2.acc: 95.1015, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0436, loss: 0.9950 2022-09-14 10:18:15,908 - mmdet - INFO - Epoch [19][5400/7330] lr: 1.000e-04, eta: 2 days, 0:10:32, time: 1.362, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1303, s0.acc: 95.2913, s0.loss_bbox: 0.0714, s0.loss_mask: 0.1946, s1.loss_cls: 0.0623, s1.acc: 95.5033, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0904, s2.loss_cls: 0.0318, s2.acc: 95.2608, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0430, loss: 0.9827 2022-09-14 10:19:24,865 - mmdet - INFO - Epoch [19][5450/7330] lr: 1.000e-04, eta: 2 days, 0:09:24, time: 1.379, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1718, s0.loss_cls: 0.1217, s0.acc: 95.5266, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1905, s1.loss_cls: 0.0585, s1.acc: 95.6390, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0902, s2.loss_cls: 0.0300, s2.acc: 95.5138, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0420, loss: 0.9498 2022-09-14 10:20:34,661 - mmdet - INFO - Epoch [19][5500/7330] lr: 1.000e-04, eta: 2 days, 0:08:17, time: 1.396, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1664, s0.loss_cls: 0.1325, s0.acc: 95.1189, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1870, s1.loss_cls: 0.0625, s1.acc: 95.4357, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0885, s2.loss_cls: 0.0322, s2.acc: 95.1676, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0416, loss: 0.9703 2022-09-14 10:21:42,641 - mmdet - INFO - Epoch [19][5550/7330] lr: 1.000e-04, eta: 2 days, 0:07:08, time: 1.360, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1356, s0.acc: 95.1948, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1902, s1.loss_cls: 0.0649, s1.acc: 95.3988, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0888, s2.loss_cls: 0.0328, s2.acc: 95.3214, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0425, loss: 0.9791 2022-09-14 10:22:51,499 - mmdet - INFO - Epoch [19][5600/7330] lr: 1.000e-04, eta: 2 days, 0:06:00, time: 1.377, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1843, s0.loss_cls: 0.1330, s0.acc: 95.1523, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1914, s1.loss_cls: 0.0650, s1.acc: 95.3418, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0894, s2.loss_cls: 0.0330, s2.acc: 95.1198, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0423, loss: 0.9876 2022-09-14 10:23:59,369 - mmdet - INFO - Epoch [19][5650/7330] lr: 1.000e-04, eta: 2 days, 0:04:50, time: 1.357, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1378, s0.acc: 95.0232, s0.loss_bbox: 0.0783, s0.loss_mask: 0.1969, s1.loss_cls: 0.0650, s1.acc: 95.2622, s1.loss_bbox: 0.0894, s1.loss_mask: 0.0931, s2.loss_cls: 0.0335, s2.acc: 95.0360, s2.loss_bbox: 0.0585, s2.loss_mask: 0.0434, loss: 1.0179 2022-09-14 10:25:08,539 - mmdet - INFO - Epoch [19][5700/7330] lr: 1.000e-04, eta: 2 days, 0:03:43, time: 1.383, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1715, s0.loss_cls: 0.1359, s0.acc: 95.0745, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1939, s1.loss_cls: 0.0651, s1.acc: 95.2620, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0913, s2.loss_cls: 0.0337, s2.acc: 94.9870, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0431, loss: 0.9966 2022-09-14 10:26:17,879 - mmdet - INFO - Epoch [19][5750/7330] lr: 1.000e-04, eta: 2 days, 0:02:35, time: 1.387, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1669, s0.loss_cls: 0.1251, s0.acc: 95.4519, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1868, s1.loss_cls: 0.0598, s1.acc: 95.7116, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0883, s2.loss_cls: 0.0306, s2.acc: 95.3936, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0416, loss: 0.9492 2022-09-14 10:27:27,596 - mmdet - INFO - Epoch [19][5800/7330] lr: 1.000e-04, eta: 2 days, 0:01:27, time: 1.394, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1728, s0.loss_cls: 0.1246, s0.acc: 95.3860, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1851, s1.loss_cls: 0.0593, s1.acc: 95.6059, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0877, s2.loss_cls: 0.0306, s2.acc: 95.3617, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0415, loss: 0.9447 2022-09-14 10:28:35,504 - mmdet - INFO - Epoch [19][5850/7330] lr: 1.000e-04, eta: 2 days, 0:00:18, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1300, s0.acc: 95.1941, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1897, s1.loss_cls: 0.0614, s1.acc: 95.4825, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0902, s2.loss_cls: 0.0325, s2.acc: 95.1755, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0430, loss: 0.9748 2022-09-14 10:29:43,777 - mmdet - INFO - Epoch [19][5900/7330] lr: 1.000e-04, eta: 1 day, 23:59:09, time: 1.365, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1307, s0.acc: 95.2861, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1862, s1.loss_cls: 0.0631, s1.acc: 95.4895, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0883, s2.loss_cls: 0.0322, s2.acc: 95.3304, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0420, loss: 0.9721 2022-09-14 10:30:53,092 - mmdet - INFO - Epoch [19][5950/7330] lr: 1.000e-04, eta: 1 day, 23:58:02, time: 1.386, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1372, s0.acc: 94.9463, s0.loss_bbox: 0.0800, s0.loss_mask: 0.1930, s1.loss_cls: 0.0659, s1.acc: 95.0499, s1.loss_bbox: 0.0895, s1.loss_mask: 0.0911, s2.loss_cls: 0.0336, s2.acc: 94.8421, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0427, loss: 1.0064 2022-09-14 10:32:03,594 - mmdet - INFO - Epoch [19][6000/7330] lr: 1.000e-04, eta: 1 day, 23:56:55, time: 1.410, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1269, s0.acc: 95.4058, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1848, s1.loss_cls: 0.0596, s1.acc: 95.6564, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0874, s2.loss_cls: 0.0307, s2.acc: 95.3927, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0414, loss: 0.9501 2022-09-14 10:33:11,995 - mmdet - INFO - Epoch [19][6050/7330] lr: 1.000e-04, eta: 1 day, 23:55:46, time: 1.368, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1732, s0.loss_cls: 0.1347, s0.acc: 95.0896, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1914, s1.loss_cls: 0.0630, s1.acc: 95.3319, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0902, s2.loss_cls: 0.0317, s2.acc: 95.2182, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0423, loss: 0.9921 2022-09-14 10:34:20,740 - mmdet - INFO - Epoch [19][6100/7330] lr: 1.000e-04, eta: 1 day, 23:54:38, time: 1.375, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1397, s0.acc: 94.8679, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1842, s1.loss_cls: 0.0672, s1.acc: 95.0659, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0870, s2.loss_cls: 0.0346, s2.acc: 94.8830, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0409, loss: 0.9971 2022-09-14 10:35:28,599 - mmdet - INFO - Epoch [19][6150/7330] lr: 1.000e-04, eta: 1 day, 23:53:29, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1761, s0.loss_cls: 0.1213, s0.acc: 95.5095, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1856, s1.loss_cls: 0.0581, s1.acc: 95.7325, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0874, s2.loss_cls: 0.0298, s2.acc: 95.5754, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0413, loss: 0.9424 2022-09-14 10:36:36,577 - mmdet - INFO - Epoch [19][6200/7330] lr: 1.000e-04, eta: 1 day, 23:52:20, time: 1.360, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1716, s0.loss_cls: 0.1242, s0.acc: 95.5159, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1872, s1.loss_cls: 0.0587, s1.acc: 95.7761, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0891, s2.loss_cls: 0.0303, s2.acc: 95.5410, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0420, loss: 0.9467 2022-09-14 10:37:45,451 - mmdet - INFO - Epoch [19][6250/7330] lr: 1.000e-04, eta: 1 day, 23:51:12, time: 1.377, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1688, s0.loss_cls: 0.1331, s0.acc: 95.1533, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1861, s1.loss_cls: 0.0634, s1.acc: 95.4454, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0876, s2.loss_cls: 0.0327, s2.acc: 95.1780, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0416, loss: 0.9686 2022-09-14 10:38:54,698 - mmdet - INFO - Epoch [19][6300/7330] lr: 1.000e-04, eta: 1 day, 23:50:04, time: 1.383, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1305, s0.acc: 95.3550, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1899, s1.loss_cls: 0.0628, s1.acc: 95.6063, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0899, s2.loss_cls: 0.0321, s2.acc: 95.3693, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0427, loss: 0.9760 2022-09-14 10:40:04,103 - mmdet - INFO - Epoch [19][6350/7330] lr: 1.000e-04, eta: 1 day, 23:48:56, time: 1.390, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1348, s0.acc: 95.0886, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1929, s1.loss_cls: 0.0644, s1.acc: 95.2932, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0920, s2.loss_cls: 0.0328, s2.acc: 95.0716, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0435, loss: 0.9941 2022-09-14 10:41:12,862 - mmdet - INFO - Epoch [19][6400/7330] lr: 1.000e-04, eta: 1 day, 23:47:48, time: 1.375, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1309, s0.acc: 95.3474, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1859, s1.loss_cls: 0.0628, s1.acc: 95.5840, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0878, s2.loss_cls: 0.0320, s2.acc: 95.4130, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0418, loss: 0.9614 2022-09-14 10:42:20,657 - mmdet - INFO - Epoch [19][6450/7330] lr: 1.000e-04, eta: 1 day, 23:46:38, time: 1.356, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1676, s0.loss_cls: 0.1309, s0.acc: 95.2490, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1900, s1.loss_cls: 0.0616, s1.acc: 95.4990, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0894, s2.loss_cls: 0.0315, s2.acc: 95.3166, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0420, loss: 0.9637 2022-09-14 10:43:30,305 - mmdet - INFO - Epoch [19][6500/7330] lr: 1.000e-04, eta: 1 day, 23:45:31, time: 1.393, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1306, s0.acc: 95.2249, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1895, s1.loss_cls: 0.0629, s1.acc: 95.4470, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0894, s2.loss_cls: 0.0329, s2.acc: 95.0758, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0422, loss: 0.9745 2022-09-14 10:44:39,217 - mmdet - INFO - Epoch [19][6550/7330] lr: 1.000e-04, eta: 1 day, 23:44:23, time: 1.376, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1779, s0.loss_cls: 0.1326, s0.acc: 95.1758, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1933, s1.loss_cls: 0.0633, s1.acc: 95.3304, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0910, s2.loss_cls: 0.0318, s2.acc: 95.2145, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0433, loss: 0.9892 2022-09-14 10:45:48,963 - mmdet - INFO - Epoch [19][6600/7330] lr: 1.000e-04, eta: 1 day, 23:43:15, time: 1.397, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1322, s0.acc: 95.2329, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1872, s1.loss_cls: 0.0628, s1.acc: 95.4914, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0888, s2.loss_cls: 0.0324, s2.acc: 95.2295, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0420, loss: 0.9679 2022-09-14 10:46:58,624 - mmdet - INFO - Epoch [19][6650/7330] lr: 1.000e-04, eta: 1 day, 23:42:08, time: 1.393, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1699, s0.loss_cls: 0.1403, s0.acc: 94.9187, s0.loss_bbox: 0.0770, s0.loss_mask: 0.1966, s1.loss_cls: 0.0671, s1.acc: 95.1085, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0921, s2.loss_cls: 0.0343, s2.acc: 94.9124, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0434, loss: 1.0105 2022-09-14 10:48:07,200 - mmdet - INFO - Epoch [19][6700/7330] lr: 1.000e-04, eta: 1 day, 23:40:59, time: 1.372, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1721, s0.loss_cls: 0.1366, s0.acc: 95.0454, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1929, s1.loss_cls: 0.0641, s1.acc: 95.3379, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0909, s2.loss_cls: 0.0332, s2.acc: 95.0766, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0430, loss: 0.9886 2022-09-14 10:49:17,546 - mmdet - INFO - Epoch [19][6750/7330] lr: 1.000e-04, eta: 1 day, 23:39:52, time: 1.407, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1321, s0.acc: 95.2126, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1900, s1.loss_cls: 0.0630, s1.acc: 95.4622, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0897, s2.loss_cls: 0.0323, s2.acc: 95.2635, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0421, loss: 0.9807 2022-09-14 10:50:26,530 - mmdet - INFO - Epoch [19][6800/7330] lr: 1.000e-04, eta: 1 day, 23:38:44, time: 1.380, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1782, s0.loss_cls: 0.1422, s0.acc: 94.9595, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1871, s1.loss_cls: 0.0682, s1.acc: 95.1703, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0885, s2.loss_cls: 0.0347, s2.acc: 94.8909, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0418, loss: 1.0006 2022-09-14 10:51:36,441 - mmdet - INFO - Epoch [19][6850/7330] lr: 1.000e-04, eta: 1 day, 23:37:37, time: 1.398, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1850, s0.loss_cls: 0.1397, s0.acc: 94.9839, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1904, s1.loss_cls: 0.0664, s1.acc: 95.1891, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0898, s2.loss_cls: 0.0340, s2.acc: 94.9660, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0425, loss: 1.0085 2022-09-14 10:52:46,098 - mmdet - INFO - Epoch [19][6900/7330] lr: 1.000e-04, eta: 1 day, 23:36:29, time: 1.393, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1679, s0.loss_cls: 0.1381, s0.acc: 94.8833, s0.loss_bbox: 0.0781, s0.loss_mask: 0.1903, s1.loss_cls: 0.0671, s1.acc: 94.9716, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0894, s2.loss_cls: 0.0346, s2.acc: 94.7347, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0424, loss: 0.9978 2022-09-14 10:53:55,812 - mmdet - INFO - Epoch [19][6950/7330] lr: 1.000e-04, eta: 1 day, 23:35:22, time: 1.394, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1314, s0.acc: 95.2275, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1852, s1.loss_cls: 0.0628, s1.acc: 95.4427, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0875, s2.loss_cls: 0.0326, s2.acc: 95.2192, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0417, loss: 0.9639 2022-09-14 10:55:04,258 - mmdet - INFO - Epoch [19][7000/7330] lr: 1.000e-04, eta: 1 day, 23:34:13, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1350, s0.acc: 95.0906, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1830, s1.loss_cls: 0.0652, s1.acc: 95.2639, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0860, s2.loss_cls: 0.0327, s2.acc: 95.1406, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0405, loss: 0.9707 2022-09-14 10:56:12,794 - mmdet - INFO - Epoch [19][7050/7330] lr: 1.000e-04, eta: 1 day, 23:33:05, time: 1.371, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1736, s0.loss_cls: 0.1302, s0.acc: 95.2334, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1891, s1.loss_cls: 0.0627, s1.acc: 95.4703, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0885, s2.loss_cls: 0.0323, s2.acc: 95.2515, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0417, loss: 0.9702 2022-09-14 10:57:22,017 - mmdet - INFO - Epoch [19][7100/7330] lr: 1.000e-04, eta: 1 day, 23:31:57, time: 1.384, data_time: 0.038, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1728, s0.loss_cls: 0.1260, s0.acc: 95.4229, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1811, s1.loss_cls: 0.0610, s1.acc: 95.5775, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0856, s2.loss_cls: 0.0317, s2.acc: 95.2723, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0405, loss: 0.9478 2022-09-14 10:58:30,885 - mmdet - INFO - Epoch [19][7150/7330] lr: 1.000e-04, eta: 1 day, 23:30:49, time: 1.376, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1338, s0.acc: 95.1396, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1848, s1.loss_cls: 0.0651, s1.acc: 95.2882, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0875, s2.loss_cls: 0.0338, s2.acc: 94.9235, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0413, loss: 0.9769 2022-09-14 10:59:39,443 - mmdet - INFO - Epoch [19][7200/7330] lr: 1.000e-04, eta: 1 day, 23:29:40, time: 1.371, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1772, s0.loss_cls: 0.1312, s0.acc: 95.2800, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1880, s1.loss_cls: 0.0618, s1.acc: 95.4997, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0886, s2.loss_cls: 0.0323, s2.acc: 95.1892, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0416, loss: 0.9789 2022-09-14 11:00:48,215 - mmdet - INFO - Epoch [19][7250/7330] lr: 1.000e-04, eta: 1 day, 23:28:32, time: 1.377, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1666, s0.loss_cls: 0.1290, s0.acc: 95.2732, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1876, s1.loss_cls: 0.0613, s1.acc: 95.4307, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0898, s2.loss_cls: 0.0313, s2.acc: 95.1828, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0427, loss: 0.9607 2022-09-14 11:01:56,935 - mmdet - INFO - Epoch [19][7300/7330] lr: 1.000e-04, eta: 1 day, 23:27:23, time: 1.374, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1301, s0.acc: 95.2524, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1859, s1.loss_cls: 0.0621, s1.acc: 95.4802, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0879, s2.loss_cls: 0.0318, s2.acc: 95.2214, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0417, loss: 0.9702 2022-09-14 11:02:47,676 - mmdet - INFO - Saving checkpoint at 19 epochs 2022-09-14 11:06:29,098 - mmdet - INFO - Evaluating bbox... 2022-09-14 11:07:28,311 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.567 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.753 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.627 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.423 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.610 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.696 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.737 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.737 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.737 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.596 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.773 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.873 2022-09-14 11:07:28,311 - mmdet - INFO - Evaluating segm... 2022-09-14 11:08:40,559 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.494 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.733 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.540 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.310 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.528 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.675 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.643 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.643 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.643 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.676 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.789 2022-09-14 11:08:41,808 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 11:08:41,810 - mmdet - INFO - Epoch(val) [19][313] bbox_mAP: 0.5670, bbox_mAP_50: 0.7530, bbox_mAP_75: 0.6270, bbox_mAP_s: 0.4230, bbox_mAP_m: 0.6100, bbox_mAP_l: 0.6960, bbox_mAP_copypaste: 0.567 0.753 0.627 0.423 0.610 0.696, segm_mAP: 0.4940, segm_mAP_50: 0.7330, segm_mAP_75: 0.5400, segm_mAP_s: 0.3100, segm_mAP_m: 0.5280, segm_mAP_l: 0.6750, segm_mAP_copypaste: 0.494 0.733 0.540 0.310 0.528 0.675 2022-09-14 11:12:28,770 - mmdet - INFO - Epoch [20][50/7330] lr: 1.000e-04, eta: 1 day, 23:27:19, time: 4.538, data_time: 3.147, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1294, s0.acc: 95.1565, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1823, s1.loss_cls: 0.0618, s1.acc: 95.3285, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0851, s2.loss_cls: 0.0321, s2.acc: 95.0926, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0404, loss: 0.9564 2022-09-14 11:13:38,510 - mmdet - INFO - Epoch [20][100/7330] lr: 1.000e-04, eta: 1 day, 23:26:11, time: 1.395, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1246, s0.acc: 95.4019, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1816, s1.loss_cls: 0.0602, s1.acc: 95.5523, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0860, s2.loss_cls: 0.0311, s2.acc: 95.2729, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0407, loss: 0.9440 2022-09-14 11:14:48,642 - mmdet - INFO - Epoch [20][150/7330] lr: 1.000e-04, eta: 1 day, 23:25:04, time: 1.402, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1651, s0.loss_cls: 0.1299, s0.acc: 95.1746, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1828, s1.loss_cls: 0.0628, s1.acc: 95.3281, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0864, s2.loss_cls: 0.0322, s2.acc: 95.0979, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0408, loss: 0.9588 2022-09-14 11:15:57,517 - mmdet - INFO - Epoch [20][200/7330] lr: 1.000e-04, eta: 1 day, 23:23:56, time: 1.377, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1249, s0.acc: 95.3254, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1950, s1.loss_cls: 0.0598, s1.acc: 95.5354, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0916, s2.loss_cls: 0.0307, s2.acc: 95.2683, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0436, loss: 0.9701 2022-09-14 11:17:07,767 - mmdet - INFO - Epoch [20][250/7330] lr: 1.000e-04, eta: 1 day, 23:22:48, time: 1.405, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1289, s0.acc: 95.2253, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1873, s1.loss_cls: 0.0612, s1.acc: 95.5179, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0888, s2.loss_cls: 0.0314, s2.acc: 95.3197, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0423, loss: 0.9697 2022-09-14 11:18:16,699 - mmdet - INFO - Epoch [20][300/7330] lr: 1.000e-04, eta: 1 day, 23:21:40, time: 1.379, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1752, s0.loss_cls: 0.1291, s0.acc: 95.3145, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1878, s1.loss_cls: 0.0621, s1.acc: 95.5204, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0889, s2.loss_cls: 0.0321, s2.acc: 95.2402, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0420, loss: 0.9670 2022-09-14 11:19:24,814 - mmdet - INFO - Epoch [20][350/7330] lr: 1.000e-04, eta: 1 day, 23:20:31, time: 1.362, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1669, s0.loss_cls: 0.1214, s0.acc: 95.4758, s0.loss_bbox: 0.0675, s0.loss_mask: 0.1853, s1.loss_cls: 0.0577, s1.acc: 95.7518, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0881, s2.loss_cls: 0.0300, s2.acc: 95.4618, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0417, loss: 0.9347 2022-09-14 11:20:33,895 - mmdet - INFO - Epoch [20][400/7330] lr: 1.000e-04, eta: 1 day, 23:19:23, time: 1.382, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1244, s0.acc: 95.4790, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1850, s1.loss_cls: 0.0589, s1.acc: 95.7439, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0878, s2.loss_cls: 0.0300, s2.acc: 95.5622, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0419, loss: 0.9449 2022-09-14 11:21:40,948 - mmdet - INFO - Epoch [20][450/7330] lr: 1.000e-04, eta: 1 day, 23:18:13, time: 1.341, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1273, s0.acc: 95.3938, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1874, s1.loss_cls: 0.0615, s1.acc: 95.5605, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0887, s2.loss_cls: 0.0315, s2.acc: 95.3606, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0420, loss: 0.9593 2022-09-14 11:22:47,911 - mmdet - INFO - Epoch [20][500/7330] lr: 1.000e-04, eta: 1 day, 23:17:03, time: 1.339, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1268, s0.acc: 95.3826, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1833, s1.loss_cls: 0.0597, s1.acc: 95.6541, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0871, s2.loss_cls: 0.0308, s2.acc: 95.3857, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0411, loss: 0.9495 2022-09-14 11:23:56,588 - mmdet - INFO - Epoch [20][550/7330] lr: 1.000e-04, eta: 1 day, 23:15:55, time: 1.374, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1561, s0.loss_cls: 0.1244, s0.acc: 95.3682, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1919, s1.loss_cls: 0.0588, s1.acc: 95.6310, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0912, s2.loss_cls: 0.0307, s2.acc: 95.4080, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0431, loss: 0.9506 2022-09-14 11:25:05,583 - mmdet - INFO - Epoch [20][600/7330] lr: 1.000e-04, eta: 1 day, 23:14:46, time: 1.380, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1772, s0.loss_cls: 0.1335, s0.acc: 95.0425, s0.loss_bbox: 0.0779, s0.loss_mask: 0.1937, s1.loss_cls: 0.0641, s1.acc: 95.2393, s1.loss_bbox: 0.0890, s1.loss_mask: 0.0915, s2.loss_cls: 0.0335, s2.acc: 94.9486, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0438, loss: 1.0066 2022-09-14 11:26:14,832 - mmdet - INFO - Epoch [20][650/7330] lr: 1.000e-04, eta: 1 day, 23:13:38, time: 1.384, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1310, s0.acc: 95.2385, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1904, s1.loss_cls: 0.0626, s1.acc: 95.4072, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0912, s2.loss_cls: 0.0322, s2.acc: 95.1300, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0436, loss: 0.9771 2022-09-14 11:27:23,224 - mmdet - INFO - Epoch [20][700/7330] lr: 1.000e-04, eta: 1 day, 23:12:30, time: 1.369, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1666, s0.loss_cls: 0.1211, s0.acc: 95.4863, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1883, s1.loss_cls: 0.0579, s1.acc: 95.7078, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0891, s2.loss_cls: 0.0298, s2.acc: 95.4495, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0420, loss: 0.9531 2022-09-14 11:28:31,480 - mmdet - INFO - Epoch [20][750/7330] lr: 1.000e-04, eta: 1 day, 23:11:21, time: 1.363, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1731, s0.loss_cls: 0.1314, s0.acc: 95.1711, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1885, s1.loss_cls: 0.0627, s1.acc: 95.4189, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0897, s2.loss_cls: 0.0329, s2.acc: 95.1527, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0422, loss: 0.9771 2022-09-14 11:29:40,223 - mmdet - INFO - Epoch [20][800/7330] lr: 1.000e-04, eta: 1 day, 23:10:12, time: 1.377, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1691, s0.loss_cls: 0.1299, s0.acc: 95.1904, s0.loss_bbox: 0.0757, s0.loss_mask: 0.1858, s1.loss_cls: 0.0613, s1.acc: 95.4826, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0877, s2.loss_cls: 0.0316, s2.acc: 95.2628, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0413, loss: 0.9670 2022-09-14 11:30:49,613 - mmdet - INFO - Epoch [20][850/7330] lr: 1.000e-04, eta: 1 day, 23:09:05, time: 1.388, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1330, s0.acc: 95.1743, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1846, s1.loss_cls: 0.0629, s1.acc: 95.4750, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0875, s2.loss_cls: 0.0324, s2.acc: 95.2129, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0414, loss: 0.9623 2022-09-14 11:31:58,029 - mmdet - INFO - Epoch [20][900/7330] lr: 1.000e-04, eta: 1 day, 23:07:56, time: 1.368, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1296, s0.acc: 95.1787, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1913, s1.loss_cls: 0.0625, s1.acc: 95.3689, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0900, s2.loss_cls: 0.0321, s2.acc: 95.1419, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0423, loss: 0.9763 2022-09-14 11:33:06,715 - mmdet - INFO - Epoch [20][950/7330] lr: 1.000e-04, eta: 1 day, 23:06:47, time: 1.374, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1638, s0.loss_cls: 0.1268, s0.acc: 95.3123, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1900, s1.loss_cls: 0.0595, s1.acc: 95.6055, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0892, s2.loss_cls: 0.0306, s2.acc: 95.3875, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0416, loss: 0.9572 2022-09-14 11:34:15,908 - mmdet - INFO - Epoch [20][1000/7330] lr: 1.000e-04, eta: 1 day, 23:05:39, time: 1.384, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1682, s0.loss_cls: 0.1309, s0.acc: 95.2842, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1902, s1.loss_cls: 0.0616, s1.acc: 95.6085, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0906, s2.loss_cls: 0.0315, s2.acc: 95.3826, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0430, loss: 0.9690 2022-09-14 11:35:23,973 - mmdet - INFO - Epoch [20][1050/7330] lr: 1.000e-04, eta: 1 day, 23:04:30, time: 1.361, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1228, s0.acc: 95.4880, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1820, s1.loss_cls: 0.0590, s1.acc: 95.6950, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0861, s2.loss_cls: 0.0304, s2.acc: 95.4320, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0408, loss: 0.9301 2022-09-14 11:36:32,542 - mmdet - INFO - Epoch [20][1100/7330] lr: 1.000e-04, eta: 1 day, 23:03:22, time: 1.371, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1348, s0.acc: 95.1382, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1931, s1.loss_cls: 0.0644, s1.acc: 95.3390, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0912, s2.loss_cls: 0.0327, s2.acc: 95.2138, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0431, loss: 0.9864 2022-09-14 11:37:41,301 - mmdet - INFO - Epoch [20][1150/7330] lr: 1.000e-04, eta: 1 day, 23:02:13, time: 1.375, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1379, s0.acc: 94.9705, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1908, s1.loss_cls: 0.0651, s1.acc: 95.1980, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0906, s2.loss_cls: 0.0336, s2.acc: 95.0003, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0427, loss: 0.9962 2022-09-14 11:38:49,656 - mmdet - INFO - Epoch [20][1200/7330] lr: 1.000e-04, eta: 1 day, 23:01:04, time: 1.367, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1769, s0.loss_cls: 0.1266, s0.acc: 95.3784, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1826, s1.loss_cls: 0.0603, s1.acc: 95.6171, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0868, s2.loss_cls: 0.0315, s2.acc: 95.3019, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0409, loss: 0.9565 2022-09-14 11:39:58,460 - mmdet - INFO - Epoch [20][1250/7330] lr: 1.000e-04, eta: 1 day, 22:59:56, time: 1.376, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1392, s0.acc: 94.9768, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1940, s1.loss_cls: 0.0667, s1.acc: 95.1543, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0920, s2.loss_cls: 0.0347, s2.acc: 94.9448, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0434, loss: 1.0043 2022-09-14 11:41:06,852 - mmdet - INFO - Epoch [20][1300/7330] lr: 1.000e-04, eta: 1 day, 22:58:47, time: 1.368, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1259, s0.acc: 95.4121, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1859, s1.loss_cls: 0.0594, s1.acc: 95.6776, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0883, s2.loss_cls: 0.0302, s2.acc: 95.4649, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0413, loss: 0.9425 2022-09-14 11:42:15,373 - mmdet - INFO - Epoch [20][1350/7330] lr: 1.000e-04, eta: 1 day, 22:57:39, time: 1.371, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1716, s0.loss_cls: 0.1292, s0.acc: 95.2559, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1937, s1.loss_cls: 0.0611, s1.acc: 95.5487, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0913, s2.loss_cls: 0.0317, s2.acc: 95.2713, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0434, loss: 0.9834 2022-09-14 11:43:23,776 - mmdet - INFO - Epoch [20][1400/7330] lr: 1.000e-04, eta: 1 day, 22:56:30, time: 1.368, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1290, s0.acc: 95.2422, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1887, s1.loss_cls: 0.0611, s1.acc: 95.4549, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0890, s2.loss_cls: 0.0311, s2.acc: 95.3104, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0423, loss: 0.9738 2022-09-14 11:44:31,495 - mmdet - INFO - Epoch [20][1450/7330] lr: 1.000e-04, eta: 1 day, 22:55:21, time: 1.354, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1860, s0.loss_cls: 0.1244, s0.acc: 95.5369, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1870, s1.loss_cls: 0.0595, s1.acc: 95.7569, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0882, s2.loss_cls: 0.0310, s2.acc: 95.4838, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0417, loss: 0.9651 2022-09-14 11:45:39,384 - mmdet - INFO - Epoch [20][1500/7330] lr: 1.000e-04, eta: 1 day, 22:54:11, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1698, s0.loss_cls: 0.1302, s0.acc: 95.2612, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1889, s1.loss_cls: 0.0621, s1.acc: 95.5340, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0893, s2.loss_cls: 0.0318, s2.acc: 95.2805, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0422, loss: 0.9731 2022-09-14 11:46:48,028 - mmdet - INFO - Epoch [20][1550/7330] lr: 1.000e-04, eta: 1 day, 22:53:03, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1663, s0.loss_cls: 0.1343, s0.acc: 95.0645, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1901, s1.loss_cls: 0.0642, s1.acc: 95.3070, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0896, s2.loss_cls: 0.0337, s2.acc: 95.0048, s2.loss_bbox: 0.0575, s2.loss_mask: 0.0423, loss: 0.9818 2022-09-14 11:47:56,585 - mmdet - INFO - Epoch [20][1600/7330] lr: 1.000e-04, eta: 1 day, 22:51:54, time: 1.371, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1261, s0.acc: 95.3857, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1837, s1.loss_cls: 0.0613, s1.acc: 95.5055, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0866, s2.loss_cls: 0.0315, s2.acc: 95.3153, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0415, loss: 0.9382 2022-09-14 11:49:05,519 - mmdet - INFO - Epoch [20][1650/7330] lr: 1.000e-04, eta: 1 day, 22:50:46, time: 1.379, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1253, s0.acc: 95.4949, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1859, s1.loss_cls: 0.0599, s1.acc: 95.6844, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0878, s2.loss_cls: 0.0305, s2.acc: 95.4640, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0416, loss: 0.9414 2022-09-14 11:50:14,516 - mmdet - INFO - Epoch [20][1700/7330] lr: 1.000e-04, eta: 1 day, 22:49:38, time: 1.380, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1736, s0.loss_cls: 0.1275, s0.acc: 95.2949, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1859, s1.loss_cls: 0.0604, s1.acc: 95.5743, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0876, s2.loss_cls: 0.0309, s2.acc: 95.3863, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0415, loss: 0.9549 2022-09-14 11:51:23,914 - mmdet - INFO - Epoch [20][1750/7330] lr: 1.000e-04, eta: 1 day, 22:48:30, time: 1.388, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1311, s0.acc: 95.1904, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1880, s1.loss_cls: 0.0629, s1.acc: 95.3908, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0884, s2.loss_cls: 0.0320, s2.acc: 95.2717, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0417, loss: 0.9748 2022-09-14 11:52:33,539 - mmdet - INFO - Epoch [20][1800/7330] lr: 1.000e-04, eta: 1 day, 22:47:22, time: 1.391, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1333, s0.acc: 95.1318, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1910, s1.loss_cls: 0.0632, s1.acc: 95.3539, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0911, s2.loss_cls: 0.0325, s2.acc: 95.2010, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0434, loss: 0.9936 2022-09-14 11:53:42,084 - mmdet - INFO - Epoch [20][1850/7330] lr: 1.000e-04, eta: 1 day, 22:46:14, time: 1.372, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1797, s0.loss_cls: 0.1316, s0.acc: 95.1748, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1826, s1.loss_cls: 0.0628, s1.acc: 95.4187, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0867, s2.loss_cls: 0.0328, s2.acc: 95.1072, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0410, loss: 0.9718 2022-09-14 11:54:49,096 - mmdet - INFO - Epoch [20][1900/7330] lr: 1.000e-04, eta: 1 day, 22:45:04, time: 1.340, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1680, s0.loss_cls: 0.1327, s0.acc: 95.0598, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1870, s1.loss_cls: 0.0643, s1.acc: 95.2220, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0890, s2.loss_cls: 0.0332, s2.acc: 95.0074, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0425, loss: 0.9781 2022-09-14 11:55:57,362 - mmdet - INFO - Epoch [20][1950/7330] lr: 1.000e-04, eta: 1 day, 22:43:55, time: 1.365, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1361, s0.acc: 95.1147, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1925, s1.loss_cls: 0.0647, s1.acc: 95.3474, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0914, s2.loss_cls: 0.0334, s2.acc: 95.0930, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0431, loss: 0.9962 2022-09-14 11:57:06,035 - mmdet - INFO - Epoch [20][2000/7330] lr: 1.000e-04, eta: 1 day, 22:42:46, time: 1.372, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1664, s0.loss_cls: 0.1264, s0.acc: 95.4585, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1851, s1.loss_cls: 0.0597, s1.acc: 95.7474, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0880, s2.loss_cls: 0.0302, s2.acc: 95.6218, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0418, loss: 0.9407 2022-09-14 11:58:14,493 - mmdet - INFO - Epoch [20][2050/7330] lr: 1.000e-04, eta: 1 day, 22:41:38, time: 1.371, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1659, s0.loss_cls: 0.1353, s0.acc: 95.0178, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1905, s1.loss_cls: 0.0648, s1.acc: 95.2354, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0895, s2.loss_cls: 0.0334, s2.acc: 95.0849, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0424, loss: 0.9870 2022-09-14 11:59:22,768 - mmdet - INFO - Epoch [20][2100/7330] lr: 1.000e-04, eta: 1 day, 22:40:29, time: 1.365, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1620, s0.loss_cls: 0.1286, s0.acc: 95.2761, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1845, s1.loss_cls: 0.0609, s1.acc: 95.5029, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0869, s2.loss_cls: 0.0314, s2.acc: 95.2458, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0412, loss: 0.9491 2022-09-14 12:00:34,658 - mmdet - INFO - Epoch [20][2150/7330] lr: 1.000e-04, eta: 1 day, 22:39:23, time: 1.438, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1637, s0.loss_cls: 0.1305, s0.acc: 95.2139, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1925, s1.loss_cls: 0.0634, s1.acc: 95.3022, s1.loss_bbox: 0.0873, s1.loss_mask: 0.0910, s2.loss_cls: 0.0324, s2.acc: 95.0988, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0433, loss: 0.9834 2022-09-14 12:01:42,415 - mmdet - INFO - Epoch [20][2200/7330] lr: 1.000e-04, eta: 1 day, 22:38:14, time: 1.355, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1267, s0.acc: 95.3394, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1802, s1.loss_cls: 0.0598, s1.acc: 95.6127, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0852, s2.loss_cls: 0.0300, s2.acc: 95.5363, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0404, loss: 0.9299 2022-09-14 12:02:50,711 - mmdet - INFO - Epoch [20][2250/7330] lr: 1.000e-04, eta: 1 day, 22:37:05, time: 1.365, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1772, s0.loss_cls: 0.1421, s0.acc: 94.8538, s0.loss_bbox: 0.0795, s0.loss_mask: 0.1917, s1.loss_cls: 0.0671, s1.acc: 95.1445, s1.loss_bbox: 0.0899, s1.loss_mask: 0.0902, s2.loss_cls: 0.0345, s2.acc: 94.8631, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0426, loss: 1.0175 2022-09-14 12:03:58,447 - mmdet - INFO - Epoch [20][2300/7330] lr: 1.000e-04, eta: 1 day, 22:35:56, time: 1.356, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1253, s0.acc: 95.3970, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1783, s1.loss_cls: 0.0595, s1.acc: 95.5901, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0846, s2.loss_cls: 0.0312, s2.acc: 95.2974, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0403, loss: 0.9294 2022-09-14 12:05:06,624 - mmdet - INFO - Epoch [20][2350/7330] lr: 1.000e-04, eta: 1 day, 22:34:47, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1312, s0.acc: 95.1877, s0.loss_bbox: 0.0759, s0.loss_mask: 0.1897, s1.loss_cls: 0.0625, s1.acc: 95.3705, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0892, s2.loss_cls: 0.0323, s2.acc: 95.0268, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0420, loss: 0.9725 2022-09-14 12:06:13,177 - mmdet - INFO - Epoch [20][2400/7330] lr: 1.000e-04, eta: 1 day, 22:33:37, time: 1.331, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1146, s0.acc: 95.8440, s0.loss_bbox: 0.0655, s0.loss_mask: 0.1806, s1.loss_cls: 0.0539, s1.acc: 96.0515, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0867, s2.loss_cls: 0.0285, s2.acc: 95.7614, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0411, loss: 0.9020 2022-09-14 12:07:20,571 - mmdet - INFO - Epoch [20][2450/7330] lr: 1.000e-04, eta: 1 day, 22:32:27, time: 1.348, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1659, s0.loss_cls: 0.1340, s0.acc: 95.1377, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1950, s1.loss_cls: 0.0640, s1.acc: 95.3184, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0919, s2.loss_cls: 0.0329, s2.acc: 95.0486, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0437, loss: 0.9877 2022-09-14 12:08:29,507 - mmdet - INFO - Epoch [20][2500/7330] lr: 1.000e-04, eta: 1 day, 22:31:19, time: 1.379, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1799, s0.loss_cls: 0.1306, s0.acc: 95.2822, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1863, s1.loss_cls: 0.0630, s1.acc: 95.4764, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0884, s2.loss_cls: 0.0326, s2.acc: 95.1820, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0419, loss: 0.9774 2022-09-14 12:09:38,447 - mmdet - INFO - Epoch [20][2550/7330] lr: 1.000e-04, eta: 1 day, 22:30:10, time: 1.378, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1657, s0.loss_cls: 0.1338, s0.acc: 95.0745, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1860, s1.loss_cls: 0.0646, s1.acc: 95.3038, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0881, s2.loss_cls: 0.0331, s2.acc: 95.0798, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0418, loss: 0.9712 2022-09-14 12:10:47,587 - mmdet - INFO - Epoch [20][2600/7330] lr: 1.000e-04, eta: 1 day, 22:29:02, time: 1.384, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1325, s0.acc: 95.1687, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1856, s1.loss_cls: 0.0625, s1.acc: 95.4592, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0883, s2.loss_cls: 0.0317, s2.acc: 95.2188, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0421, loss: 0.9697 2022-09-14 12:11:56,531 - mmdet - INFO - Epoch [20][2650/7330] lr: 1.000e-04, eta: 1 day, 22:27:54, time: 1.379, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1633, s0.loss_cls: 0.1356, s0.acc: 95.0691, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1850, s1.loss_cls: 0.0642, s1.acc: 95.3801, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0876, s2.loss_cls: 0.0326, s2.acc: 95.2248, s2.loss_bbox: 0.0574, s2.loss_mask: 0.0415, loss: 0.9714 2022-09-14 12:13:05,450 - mmdet - INFO - Epoch [20][2700/7330] lr: 1.000e-04, eta: 1 day, 22:26:46, time: 1.378, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1298, s0.acc: 95.2354, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1833, s1.loss_cls: 0.0615, s1.acc: 95.5068, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0866, s2.loss_cls: 0.0317, s2.acc: 95.2745, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0409, loss: 0.9580 2022-09-14 12:14:13,867 - mmdet - INFO - Epoch [20][2750/7330] lr: 1.000e-04, eta: 1 day, 22:25:37, time: 1.368, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1398, s0.acc: 95.0254, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1886, s1.loss_cls: 0.0664, s1.acc: 95.2610, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0900, s2.loss_cls: 0.0344, s2.acc: 95.0517, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0427, loss: 0.9839 2022-09-14 12:15:22,612 - mmdet - INFO - Epoch [20][2800/7330] lr: 1.000e-04, eta: 1 day, 22:24:29, time: 1.375, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1758, s0.loss_cls: 0.1339, s0.acc: 95.0906, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1832, s1.loss_cls: 0.0638, s1.acc: 95.3851, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0865, s2.loss_cls: 0.0329, s2.acc: 95.1515, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0412, loss: 0.9730 2022-09-14 12:16:30,736 - mmdet - INFO - Epoch [20][2850/7330] lr: 1.000e-04, eta: 1 day, 22:23:20, time: 1.362, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1745, s0.loss_cls: 0.1327, s0.acc: 95.3350, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1903, s1.loss_cls: 0.0636, s1.acc: 95.5220, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0900, s2.loss_cls: 0.0330, s2.acc: 95.3186, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0425, loss: 0.9780 2022-09-14 12:17:39,525 - mmdet - INFO - Epoch [20][2900/7330] lr: 1.000e-04, eta: 1 day, 22:22:11, time: 1.376, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1297, s0.acc: 95.2434, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1816, s1.loss_cls: 0.0614, s1.acc: 95.4727, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0857, s2.loss_cls: 0.0316, s2.acc: 95.3157, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0404, loss: 0.9555 2022-09-14 12:18:48,367 - mmdet - INFO - Epoch [20][2950/7330] lr: 1.000e-04, eta: 1 day, 22:21:03, time: 1.377, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1324, s0.acc: 95.1963, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1877, s1.loss_cls: 0.0630, s1.acc: 95.4790, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0892, s2.loss_cls: 0.0319, s2.acc: 95.2832, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0424, loss: 0.9726 2022-09-14 12:19:56,495 - mmdet - INFO - Epoch [20][3000/7330] lr: 1.000e-04, eta: 1 day, 22:19:54, time: 1.363, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1620, s0.loss_cls: 0.1304, s0.acc: 95.1633, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1880, s1.loss_cls: 0.0625, s1.acc: 95.3400, s1.loss_bbox: 0.0863, s1.loss_mask: 0.0898, s2.loss_cls: 0.0329, s2.acc: 95.0611, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0425, loss: 0.9682 2022-09-14 12:21:06,157 - mmdet - INFO - Epoch [20][3050/7330] lr: 1.000e-04, eta: 1 day, 22:18:46, time: 1.393, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1715, s0.loss_cls: 0.1239, s0.acc: 95.4121, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1856, s1.loss_cls: 0.0590, s1.acc: 95.5814, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0874, s2.loss_cls: 0.0306, s2.acc: 95.3641, s2.loss_bbox: 0.0578, s2.loss_mask: 0.0414, loss: 0.9588 2022-09-14 12:22:14,727 - mmdet - INFO - Epoch [20][3100/7330] lr: 1.000e-04, eta: 1 day, 22:17:38, time: 1.371, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1598, s0.loss_cls: 0.1176, s0.acc: 95.7031, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1761, s1.loss_cls: 0.0549, s1.acc: 95.9609, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0838, s2.loss_cls: 0.0285, s2.acc: 95.7674, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0399, loss: 0.8972 2022-09-14 12:23:22,530 - mmdet - INFO - Epoch [20][3150/7330] lr: 1.000e-04, eta: 1 day, 22:16:28, time: 1.356, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1308, s0.acc: 95.2239, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1835, s1.loss_cls: 0.0622, s1.acc: 95.4812, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0868, s2.loss_cls: 0.0321, s2.acc: 95.3004, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0410, loss: 0.9514 2022-09-14 12:24:30,329 - mmdet - INFO - Epoch [20][3200/7330] lr: 1.000e-04, eta: 1 day, 22:15:19, time: 1.356, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1331, s0.acc: 95.1450, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1831, s1.loss_cls: 0.0626, s1.acc: 95.4857, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0860, s2.loss_cls: 0.0324, s2.acc: 95.2545, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0407, loss: 0.9599 2022-09-14 12:25:37,869 - mmdet - INFO - Epoch [20][3250/7330] lr: 1.000e-04, eta: 1 day, 22:14:10, time: 1.351, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1709, s0.loss_cls: 0.1325, s0.acc: 95.1355, s0.loss_bbox: 0.0754, s0.loss_mask: 0.1926, s1.loss_cls: 0.0627, s1.acc: 95.3399, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0911, s2.loss_cls: 0.0325, s2.acc: 95.1217, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0433, loss: 0.9882 2022-09-14 12:26:46,285 - mmdet - INFO - Epoch [20][3300/7330] lr: 1.000e-04, eta: 1 day, 22:13:01, time: 1.368, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1271, s0.acc: 95.3162, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1781, s1.loss_cls: 0.0597, s1.acc: 95.6420, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0843, s2.loss_cls: 0.0305, s2.acc: 95.4374, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0400, loss: 0.9336 2022-09-14 12:27:54,616 - mmdet - INFO - Epoch [20][3350/7330] lr: 1.000e-04, eta: 1 day, 22:11:52, time: 1.367, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1317, s0.acc: 95.1494, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1872, s1.loss_cls: 0.0628, s1.acc: 95.3533, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0883, s2.loss_cls: 0.0323, s2.acc: 95.3041, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0416, loss: 0.9738 2022-09-14 12:29:03,765 - mmdet - INFO - Epoch [20][3400/7330] lr: 1.000e-04, eta: 1 day, 22:10:44, time: 1.383, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0278, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1401, s0.acc: 94.8762, s0.loss_bbox: 0.0759, s0.loss_mask: 0.1898, s1.loss_cls: 0.0662, s1.acc: 95.1406, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0893, s2.loss_cls: 0.0333, s2.acc: 94.9879, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0423, loss: 0.9967 2022-09-14 12:30:12,810 - mmdet - INFO - Epoch [20][3450/7330] lr: 1.000e-04, eta: 1 day, 22:09:36, time: 1.381, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1336, s0.acc: 95.1648, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1840, s1.loss_cls: 0.0641, s1.acc: 95.3233, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0870, s2.loss_cls: 0.0329, s2.acc: 95.0881, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0410, loss: 0.9619 2022-09-14 12:31:21,572 - mmdet - INFO - Epoch [20][3500/7330] lr: 1.000e-04, eta: 1 day, 22:08:28, time: 1.375, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1752, s0.loss_cls: 0.1268, s0.acc: 95.3723, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1786, s1.loss_cls: 0.0609, s1.acc: 95.5664, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0844, s2.loss_cls: 0.0312, s2.acc: 95.3863, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0399, loss: 0.9415 2022-09-14 12:32:30,570 - mmdet - INFO - Epoch [20][3550/7330] lr: 1.000e-04, eta: 1 day, 22:07:19, time: 1.378, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1291, s0.acc: 95.2136, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1864, s1.loss_cls: 0.0610, s1.acc: 95.4955, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0885, s2.loss_cls: 0.0317, s2.acc: 95.1950, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0418, loss: 0.9610 2022-09-14 12:33:39,062 - mmdet - INFO - Epoch [20][3600/7330] lr: 1.000e-04, eta: 1 day, 22:06:11, time: 1.371, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1748, s0.loss_cls: 0.1284, s0.acc: 95.2891, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1886, s1.loss_cls: 0.0608, s1.acc: 95.5063, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0894, s2.loss_cls: 0.0318, s2.acc: 95.3105, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0422, loss: 0.9713 2022-09-14 12:34:47,350 - mmdet - INFO - Epoch [20][3650/7330] lr: 1.000e-04, eta: 1 day, 22:05:02, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1746, s0.loss_cls: 0.1274, s0.acc: 95.4050, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1879, s1.loss_cls: 0.0605, s1.acc: 95.6440, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0893, s2.loss_cls: 0.0313, s2.acc: 95.4651, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0423, loss: 0.9598 2022-09-14 12:35:54,464 - mmdet - INFO - Epoch [20][3700/7330] lr: 1.000e-04, eta: 1 day, 22:03:52, time: 1.342, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1243, s0.acc: 95.4131, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1872, s1.loss_cls: 0.0591, s1.acc: 95.6571, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0894, s2.loss_cls: 0.0300, s2.acc: 95.4880, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0424, loss: 0.9523 2022-09-14 12:37:02,296 - mmdet - INFO - Epoch [20][3750/7330] lr: 1.000e-04, eta: 1 day, 22:02:43, time: 1.357, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1715, s0.loss_cls: 0.1264, s0.acc: 95.4319, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1834, s1.loss_cls: 0.0610, s1.acc: 95.6131, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0868, s2.loss_cls: 0.0310, s2.acc: 95.3702, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0411, loss: 0.9417 2022-09-14 12:38:10,354 - mmdet - INFO - Epoch [20][3800/7330] lr: 1.000e-04, eta: 1 day, 22:01:34, time: 1.361, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1670, s0.loss_cls: 0.1263, s0.acc: 95.3291, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1801, s1.loss_cls: 0.0601, s1.acc: 95.5251, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0854, s2.loss_cls: 0.0309, s2.acc: 95.3599, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0402, loss: 0.9405 2022-09-14 12:39:20,608 - mmdet - INFO - Epoch [20][3850/7330] lr: 1.000e-04, eta: 1 day, 22:00:27, time: 1.405, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1702, s0.loss_cls: 0.1294, s0.acc: 95.2754, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1886, s1.loss_cls: 0.0623, s1.acc: 95.4820, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0893, s2.loss_cls: 0.0316, s2.acc: 95.2592, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0422, loss: 0.9692 2022-09-14 12:40:28,771 - mmdet - INFO - Epoch [20][3900/7330] lr: 1.000e-04, eta: 1 day, 21:59:18, time: 1.363, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1785, s0.loss_cls: 0.1308, s0.acc: 95.1919, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1880, s1.loss_cls: 0.0631, s1.acc: 95.3858, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0897, s2.loss_cls: 0.0316, s2.acc: 95.2890, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0428, loss: 0.9761 2022-09-14 12:41:36,453 - mmdet - INFO - Epoch [20][3950/7330] lr: 1.000e-04, eta: 1 day, 21:58:08, time: 1.354, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1707, s0.loss_cls: 0.1302, s0.acc: 95.2026, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1875, s1.loss_cls: 0.0623, s1.acc: 95.4464, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0885, s2.loss_cls: 0.0322, s2.acc: 95.0763, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0418, loss: 0.9714 2022-09-14 12:42:44,816 - mmdet - INFO - Epoch [20][4000/7330] lr: 1.000e-04, eta: 1 day, 21:57:00, time: 1.367, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1681, s0.loss_cls: 0.1346, s0.acc: 95.0547, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1873, s1.loss_cls: 0.0641, s1.acc: 95.2644, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0887, s2.loss_cls: 0.0331, s2.acc: 95.0672, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0418, loss: 0.9804 2022-09-14 12:43:53,414 - mmdet - INFO - Epoch [20][4050/7330] lr: 1.000e-04, eta: 1 day, 21:55:51, time: 1.372, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1669, s0.loss_cls: 0.1236, s0.acc: 95.3882, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1831, s1.loss_cls: 0.0600, s1.acc: 95.5305, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0866, s2.loss_cls: 0.0306, s2.acc: 95.3137, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0409, loss: 0.9379 2022-09-14 12:45:02,402 - mmdet - INFO - Epoch [20][4100/7330] lr: 1.000e-04, eta: 1 day, 21:54:43, time: 1.380, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1304, s0.acc: 95.1665, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1913, s1.loss_cls: 0.0630, s1.acc: 95.3345, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0904, s2.loss_cls: 0.0322, s2.acc: 95.1354, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0425, loss: 0.9778 2022-09-14 12:46:10,914 - mmdet - INFO - Epoch [20][4150/7330] lr: 1.000e-04, eta: 1 day, 21:53:34, time: 1.370, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1272, s0.acc: 95.3167, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1863, s1.loss_cls: 0.0612, s1.acc: 95.5137, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0886, s2.loss_cls: 0.0312, s2.acc: 95.3631, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0419, loss: 0.9605 2022-09-14 12:47:19,599 - mmdet - INFO - Epoch [20][4200/7330] lr: 1.000e-04, eta: 1 day, 21:52:26, time: 1.374, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1760, s0.loss_cls: 0.1301, s0.acc: 95.3088, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1941, s1.loss_cls: 0.0625, s1.acc: 95.4923, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0918, s2.loss_cls: 0.0319, s2.acc: 95.2887, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0432, loss: 0.9838 2022-09-14 12:48:27,741 - mmdet - INFO - Epoch [20][4250/7330] lr: 1.000e-04, eta: 1 day, 21:51:17, time: 1.363, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1279, s0.acc: 95.3257, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1885, s1.loss_cls: 0.0615, s1.acc: 95.5894, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0890, s2.loss_cls: 0.0317, s2.acc: 95.3443, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0422, loss: 0.9571 2022-09-14 12:49:36,322 - mmdet - INFO - Epoch [20][4300/7330] lr: 1.000e-04, eta: 1 day, 21:50:08, time: 1.372, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1561, s0.loss_cls: 0.1318, s0.acc: 95.1655, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1899, s1.loss_cls: 0.0631, s1.acc: 95.3423, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0898, s2.loss_cls: 0.0326, s2.acc: 95.1669, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0427, loss: 0.9699 2022-09-14 12:50:46,110 - mmdet - INFO - Epoch [20][4350/7330] lr: 1.000e-04, eta: 1 day, 21:49:01, time: 1.395, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1317, s0.acc: 95.0571, s0.loss_bbox: 0.0761, s0.loss_mask: 0.1904, s1.loss_cls: 0.0630, s1.acc: 95.2385, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0900, s2.loss_cls: 0.0327, s2.acc: 94.9524, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0427, loss: 0.9829 2022-09-14 12:51:54,654 - mmdet - INFO - Epoch [20][4400/7330] lr: 1.000e-04, eta: 1 day, 21:47:52, time: 1.371, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1319, s0.acc: 95.2136, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1876, s1.loss_cls: 0.0637, s1.acc: 95.4109, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0882, s2.loss_cls: 0.0325, s2.acc: 95.2458, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0415, loss: 0.9684 2022-09-14 12:53:03,540 - mmdet - INFO - Epoch [20][4450/7330] lr: 1.000e-04, eta: 1 day, 21:46:44, time: 1.378, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1339, s0.acc: 95.1782, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1935, s1.loss_cls: 0.0644, s1.acc: 95.4015, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0918, s2.loss_cls: 0.0330, s2.acc: 95.1850, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0429, loss: 0.9935 2022-09-14 12:54:11,705 - mmdet - INFO - Epoch [20][4500/7330] lr: 1.000e-04, eta: 1 day, 21:45:35, time: 1.362, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1272, s0.acc: 95.3535, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1854, s1.loss_cls: 0.0595, s1.acc: 95.6769, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0869, s2.loss_cls: 0.0302, s2.acc: 95.4275, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0414, loss: 0.9584 2022-09-14 12:55:20,264 - mmdet - INFO - Epoch [20][4550/7330] lr: 1.000e-04, eta: 1 day, 21:44:26, time: 1.373, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1700, s0.loss_cls: 0.1321, s0.acc: 95.1941, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1912, s1.loss_cls: 0.0643, s1.acc: 95.3751, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0901, s2.loss_cls: 0.0329, s2.acc: 95.2060, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0422, loss: 0.9773 2022-09-14 12:56:28,413 - mmdet - INFO - Epoch [20][4600/7330] lr: 1.000e-04, eta: 1 day, 21:43:17, time: 1.363, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1793, s0.loss_cls: 0.1281, s0.acc: 95.3254, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1849, s1.loss_cls: 0.0613, s1.acc: 95.5056, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0880, s2.loss_cls: 0.0319, s2.acc: 95.2830, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0418, loss: 0.9678 2022-09-14 12:57:36,724 - mmdet - INFO - Epoch [20][4650/7330] lr: 1.000e-04, eta: 1 day, 21:42:08, time: 1.366, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1777, s0.loss_cls: 0.1269, s0.acc: 95.2742, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1902, s1.loss_cls: 0.0604, s1.acc: 95.5037, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0899, s2.loss_cls: 0.0313, s2.acc: 95.2337, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0426, loss: 0.9687 2022-09-14 12:58:45,489 - mmdet - INFO - Epoch [20][4700/7330] lr: 1.000e-04, eta: 1 day, 21:41:00, time: 1.376, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1707, s0.loss_cls: 0.1214, s0.acc: 95.5168, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1864, s1.loss_cls: 0.0585, s1.acc: 95.6830, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0876, s2.loss_cls: 0.0307, s2.acc: 95.3528, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0414, loss: 0.9390 2022-09-14 12:59:53,787 - mmdet - INFO - Epoch [20][4750/7330] lr: 1.000e-04, eta: 1 day, 21:39:51, time: 1.366, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1707, s0.loss_cls: 0.1286, s0.acc: 95.3074, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1852, s1.loss_cls: 0.0603, s1.acc: 95.5864, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0877, s2.loss_cls: 0.0312, s2.acc: 95.3434, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0416, loss: 0.9571 2022-09-14 13:01:01,273 - mmdet - INFO - Epoch [20][4800/7330] lr: 1.000e-04, eta: 1 day, 21:38:42, time: 1.348, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1657, s0.loss_cls: 0.1278, s0.acc: 95.2627, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1874, s1.loss_cls: 0.0598, s1.acc: 95.6426, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0875, s2.loss_cls: 0.0309, s2.acc: 95.3880, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0412, loss: 0.9529 2022-09-14 13:02:09,777 - mmdet - INFO - Epoch [20][4850/7330] lr: 1.000e-04, eta: 1 day, 21:37:33, time: 1.372, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1724, s0.loss_cls: 0.1224, s0.acc: 95.4729, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1820, s1.loss_cls: 0.0582, s1.acc: 95.7360, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0868, s2.loss_cls: 0.0302, s2.acc: 95.4423, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0410, loss: 0.9366 2022-09-14 13:03:19,474 - mmdet - INFO - Epoch [20][4900/7330] lr: 1.000e-04, eta: 1 day, 21:36:25, time: 1.394, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0282, loss_semantic_seg: 0.1750, s0.loss_cls: 0.1359, s0.acc: 95.1536, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1889, s1.loss_cls: 0.0641, s1.acc: 95.5278, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0900, s2.loss_cls: 0.0329, s2.acc: 95.3079, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0420, loss: 0.9883 2022-09-14 13:04:28,314 - mmdet - INFO - Epoch [20][4950/7330] lr: 1.000e-04, eta: 1 day, 21:35:17, time: 1.377, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1748, s0.loss_cls: 0.1223, s0.acc: 95.5217, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1815, s1.loss_cls: 0.0581, s1.acc: 95.8098, s1.loss_bbox: 0.0759, s1.loss_mask: 0.0859, s2.loss_cls: 0.0301, s2.acc: 95.5507, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0409, loss: 0.9301 2022-09-14 13:05:37,246 - mmdet - INFO - Epoch [20][5000/7330] lr: 1.000e-04, eta: 1 day, 21:34:09, time: 1.379, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0279, loss_semantic_seg: 0.1627, s0.loss_cls: 0.1290, s0.acc: 95.3372, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1843, s1.loss_cls: 0.0601, s1.acc: 95.6343, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0870, s2.loss_cls: 0.0310, s2.acc: 95.3321, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0412, loss: 0.9530 2022-09-14 13:06:46,406 - mmdet - INFO - Epoch [20][5050/7330] lr: 1.000e-04, eta: 1 day, 21:33:01, time: 1.382, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1770, s0.loss_cls: 0.1310, s0.acc: 95.2852, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1892, s1.loss_cls: 0.0628, s1.acc: 95.3995, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0893, s2.loss_cls: 0.0322, s2.acc: 95.1949, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0422, loss: 0.9698 2022-09-14 13:07:55,072 - mmdet - INFO - Epoch [20][5100/7330] lr: 1.000e-04, eta: 1 day, 21:31:52, time: 1.375, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1257, s0.acc: 95.3884, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1841, s1.loss_cls: 0.0596, s1.acc: 95.6907, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0871, s2.loss_cls: 0.0307, s2.acc: 95.5331, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0412, loss: 0.9449 2022-09-14 13:09:03,340 - mmdet - INFO - Epoch [20][5150/7330] lr: 1.000e-04, eta: 1 day, 21:30:43, time: 1.365, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1695, s0.loss_cls: 0.1345, s0.acc: 95.0740, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1876, s1.loss_cls: 0.0639, s1.acc: 95.3523, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0880, s2.loss_cls: 0.0327, s2.acc: 95.1715, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0413, loss: 0.9798 2022-09-14 13:10:12,982 - mmdet - INFO - Epoch [20][5200/7330] lr: 1.000e-04, eta: 1 day, 21:29:36, time: 1.393, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1771, s0.loss_cls: 0.1323, s0.acc: 95.3079, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1917, s1.loss_cls: 0.0630, s1.acc: 95.5068, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0907, s2.loss_cls: 0.0317, s2.acc: 95.3416, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0430, loss: 0.9800 2022-09-14 13:11:20,824 - mmdet - INFO - Epoch [20][5250/7330] lr: 1.000e-04, eta: 1 day, 21:28:27, time: 1.357, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1646, s0.loss_cls: 0.1261, s0.acc: 95.3364, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1872, s1.loss_cls: 0.0598, s1.acc: 95.5803, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0882, s2.loss_cls: 0.0306, s2.acc: 95.3710, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0418, loss: 0.9555 2022-09-14 13:12:29,304 - mmdet - INFO - Epoch [20][5300/7330] lr: 1.000e-04, eta: 1 day, 21:27:18, time: 1.369, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1688, s0.loss_cls: 0.1267, s0.acc: 95.4429, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1847, s1.loss_cls: 0.0593, s1.acc: 95.7763, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0876, s2.loss_cls: 0.0301, s2.acc: 95.6009, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0416, loss: 0.9511 2022-09-14 13:13:37,380 - mmdet - INFO - Epoch [20][5350/7330] lr: 1.000e-04, eta: 1 day, 21:26:09, time: 1.362, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1703, s0.loss_cls: 0.1272, s0.acc: 95.3291, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1846, s1.loss_cls: 0.0614, s1.acc: 95.5106, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0876, s2.loss_cls: 0.0321, s2.acc: 95.2297, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0414, loss: 0.9505 2022-09-14 13:14:45,526 - mmdet - INFO - Epoch [20][5400/7330] lr: 1.000e-04, eta: 1 day, 21:25:00, time: 1.363, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1226, s0.acc: 95.5483, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1857, s1.loss_cls: 0.0577, s1.acc: 95.8076, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0881, s2.loss_cls: 0.0300, s2.acc: 95.5758, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0418, loss: 0.9392 2022-09-14 13:15:53,591 - mmdet - INFO - Epoch [20][5450/7330] lr: 1.000e-04, eta: 1 day, 21:23:51, time: 1.361, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1273, s0.acc: 95.2786, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1855, s1.loss_cls: 0.0613, s1.acc: 95.5483, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0885, s2.loss_cls: 0.0317, s2.acc: 95.2580, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0420, loss: 0.9684 2022-09-14 13:17:01,682 - mmdet - INFO - Epoch [20][5500/7330] lr: 1.000e-04, eta: 1 day, 21:22:42, time: 1.362, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1682, s0.loss_cls: 0.1274, s0.acc: 95.3306, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1857, s1.loss_cls: 0.0609, s1.acc: 95.5487, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0882, s2.loss_cls: 0.0310, s2.acc: 95.4339, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0422, loss: 0.9570 2022-09-14 13:18:09,934 - mmdet - INFO - Epoch [20][5550/7330] lr: 1.000e-04, eta: 1 day, 21:21:33, time: 1.365, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1287, s0.acc: 95.3784, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1837, s1.loss_cls: 0.0612, s1.acc: 95.6277, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0867, s2.loss_cls: 0.0314, s2.acc: 95.4296, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0408, loss: 0.9570 2022-09-14 13:19:17,797 - mmdet - INFO - Epoch [20][5600/7330] lr: 1.000e-04, eta: 1 day, 21:20:24, time: 1.357, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1677, s0.loss_cls: 0.1274, s0.acc: 95.3313, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1856, s1.loss_cls: 0.0611, s1.acc: 95.5050, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0883, s2.loss_cls: 0.0312, s2.acc: 95.2852, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0416, loss: 0.9601 2022-09-14 13:20:27,183 - mmdet - INFO - Epoch [20][5650/7330] lr: 1.000e-04, eta: 1 day, 21:19:16, time: 1.388, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1735, s0.loss_cls: 0.1252, s0.acc: 95.3569, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1891, s1.loss_cls: 0.0604, s1.acc: 95.5124, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0891, s2.loss_cls: 0.0310, s2.acc: 95.3164, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0421, loss: 0.9599 2022-09-14 13:21:36,275 - mmdet - INFO - Epoch [20][5700/7330] lr: 1.000e-04, eta: 1 day, 21:18:08, time: 1.382, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1641, s0.loss_cls: 0.1174, s0.acc: 95.6357, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1873, s1.loss_cls: 0.0556, s1.acc: 95.9128, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0893, s2.loss_cls: 0.0288, s2.acc: 95.7208, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0426, loss: 0.9264 2022-09-14 13:22:45,585 - mmdet - INFO - Epoch [20][5750/7330] lr: 1.000e-04, eta: 1 day, 21:17:00, time: 1.386, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1291, s0.acc: 95.3015, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1869, s1.loss_cls: 0.0613, s1.acc: 95.5655, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0881, s2.loss_cls: 0.0315, s2.acc: 95.2784, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0417, loss: 0.9591 2022-09-14 13:23:53,400 - mmdet - INFO - Epoch [20][5800/7330] lr: 1.000e-04, eta: 1 day, 21:15:51, time: 1.356, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1269, s0.acc: 95.3696, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1868, s1.loss_cls: 0.0606, s1.acc: 95.5068, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0880, s2.loss_cls: 0.0316, s2.acc: 95.2309, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0417, loss: 0.9579 2022-09-14 13:25:02,074 - mmdet - INFO - Epoch [20][5850/7330] lr: 1.000e-04, eta: 1 day, 21:14:42, time: 1.373, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1311, s0.acc: 95.2578, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1892, s1.loss_cls: 0.0620, s1.acc: 95.5339, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0891, s2.loss_cls: 0.0318, s2.acc: 95.2832, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0423, loss: 0.9691 2022-09-14 13:26:11,182 - mmdet - INFO - Epoch [20][5900/7330] lr: 1.000e-04, eta: 1 day, 21:13:34, time: 1.382, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1736, s0.loss_cls: 0.1337, s0.acc: 95.0662, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1935, s1.loss_cls: 0.0635, s1.acc: 95.3330, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0916, s2.loss_cls: 0.0325, s2.acc: 95.0932, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0431, loss: 0.9977 2022-09-14 13:27:20,402 - mmdet - INFO - Epoch [20][5950/7330] lr: 1.000e-04, eta: 1 day, 21:12:26, time: 1.385, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1321, s0.acc: 95.1980, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1905, s1.loss_cls: 0.0625, s1.acc: 95.4879, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0899, s2.loss_cls: 0.0319, s2.acc: 95.2609, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0425, loss: 0.9778 2022-09-14 13:28:28,003 - mmdet - INFO - Epoch [20][6000/7330] lr: 1.000e-04, eta: 1 day, 21:11:17, time: 1.352, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1747, s0.loss_cls: 0.1239, s0.acc: 95.4849, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1932, s1.loss_cls: 0.0595, s1.acc: 95.6289, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0914, s2.loss_cls: 0.0302, s2.acc: 95.4915, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0433, loss: 0.9637 2022-09-14 13:29:36,995 - mmdet - INFO - Epoch [20][6050/7330] lr: 1.000e-04, eta: 1 day, 21:10:08, time: 1.380, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1770, s0.loss_cls: 0.1282, s0.acc: 95.3682, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1810, s1.loss_cls: 0.0601, s1.acc: 95.6352, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0853, s2.loss_cls: 0.0303, s2.acc: 95.5066, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0403, loss: 0.9388 2022-09-14 13:30:44,945 - mmdet - INFO - Epoch [20][6100/7330] lr: 1.000e-04, eta: 1 day, 21:08:59, time: 1.359, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1261, s0.acc: 95.3896, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1828, s1.loss_cls: 0.0597, s1.acc: 95.6584, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0860, s2.loss_cls: 0.0308, s2.acc: 95.3990, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0407, loss: 0.9393 2022-09-14 13:31:53,835 - mmdet - INFO - Epoch [20][6150/7330] lr: 1.000e-04, eta: 1 day, 21:07:51, time: 1.378, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1246, s0.acc: 95.3867, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1887, s1.loss_cls: 0.0595, s1.acc: 95.6355, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0895, s2.loss_cls: 0.0310, s2.acc: 95.3103, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0424, loss: 0.9557 2022-09-14 13:33:02,323 - mmdet - INFO - Epoch [20][6200/7330] lr: 1.000e-04, eta: 1 day, 21:06:42, time: 1.370, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1277, s0.acc: 95.3987, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1855, s1.loss_cls: 0.0604, s1.acc: 95.6147, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0874, s2.loss_cls: 0.0308, s2.acc: 95.5049, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0415, loss: 0.9541 2022-09-14 13:34:10,838 - mmdet - INFO - Epoch [20][6250/7330] lr: 1.000e-04, eta: 1 day, 21:05:34, time: 1.370, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1186, s0.acc: 95.6714, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1792, s1.loss_cls: 0.0555, s1.acc: 95.9954, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0853, s2.loss_cls: 0.0287, s2.acc: 95.7612, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0405, loss: 0.9027 2022-09-14 13:35:18,694 - mmdet - INFO - Epoch [20][6300/7330] lr: 1.000e-04, eta: 1 day, 21:04:25, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1713, s0.loss_cls: 0.1227, s0.acc: 95.5376, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1893, s1.loss_cls: 0.0583, s1.acc: 95.7903, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0896, s2.loss_cls: 0.0301, s2.acc: 95.5834, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0427, loss: 0.9547 2022-09-14 13:36:27,285 - mmdet - INFO - Epoch [20][6350/7330] lr: 1.000e-04, eta: 1 day, 21:03:16, time: 1.372, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1681, s0.loss_cls: 0.1271, s0.acc: 95.4028, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1805, s1.loss_cls: 0.0596, s1.acc: 95.7283, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0848, s2.loss_cls: 0.0307, s2.acc: 95.5574, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0403, loss: 0.9392 2022-09-14 13:37:35,381 - mmdet - INFO - Epoch [20][6400/7330] lr: 1.000e-04, eta: 1 day, 21:02:07, time: 1.360, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1277, s0.acc: 95.3699, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1884, s1.loss_cls: 0.0608, s1.acc: 95.5786, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0889, s2.loss_cls: 0.0313, s2.acc: 95.4230, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0422, loss: 0.9627 2022-09-14 13:38:44,912 - mmdet - INFO - Epoch [20][6450/7330] lr: 1.000e-04, eta: 1 day, 21:00:59, time: 1.391, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1274, s0.acc: 95.2839, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1872, s1.loss_cls: 0.0604, s1.acc: 95.5429, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0881, s2.loss_cls: 0.0312, s2.acc: 95.3660, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0414, loss: 0.9579 2022-09-14 13:39:53,182 - mmdet - INFO - Epoch [20][6500/7330] lr: 1.000e-04, eta: 1 day, 20:59:50, time: 1.367, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1329, s0.acc: 95.0972, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1886, s1.loss_cls: 0.0639, s1.acc: 95.2694, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0894, s2.loss_cls: 0.0325, s2.acc: 95.1009, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0424, loss: 0.9779 2022-09-14 13:41:01,147 - mmdet - INFO - Epoch [20][6550/7330] lr: 1.000e-04, eta: 1 day, 20:58:41, time: 1.359, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1592, s0.loss_cls: 0.1214, s0.acc: 95.5425, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1831, s1.loss_cls: 0.0575, s1.acc: 95.8196, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0868, s2.loss_cls: 0.0298, s2.acc: 95.5813, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0411, loss: 0.9357 2022-09-14 13:42:10,224 - mmdet - INFO - Epoch [20][6600/7330] lr: 1.000e-04, eta: 1 day, 20:57:33, time: 1.382, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1259, s0.acc: 95.4680, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1880, s1.loss_cls: 0.0594, s1.acc: 95.7456, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0878, s2.loss_cls: 0.0304, s2.acc: 95.4949, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0419, loss: 0.9506 2022-09-14 13:43:19,430 - mmdet - INFO - Epoch [20][6650/7330] lr: 1.000e-04, eta: 1 day, 20:56:25, time: 1.384, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1677, s0.loss_cls: 0.1247, s0.acc: 95.4226, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1886, s1.loss_cls: 0.0590, s1.acc: 95.6662, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0895, s2.loss_cls: 0.0302, s2.acc: 95.4127, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0423, loss: 0.9551 2022-09-14 13:44:28,008 - mmdet - INFO - Epoch [20][6700/7330] lr: 1.000e-04, eta: 1 day, 20:55:17, time: 1.372, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1314, s0.acc: 95.1577, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1876, s1.loss_cls: 0.0620, s1.acc: 95.4478, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0886, s2.loss_cls: 0.0316, s2.acc: 95.2650, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0418, loss: 0.9670 2022-09-14 13:45:36,515 - mmdet - INFO - Epoch [20][6750/7330] lr: 1.000e-04, eta: 1 day, 20:54:08, time: 1.370, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1603, s0.loss_cls: 0.1306, s0.acc: 95.2354, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1874, s1.loss_cls: 0.0616, s1.acc: 95.5034, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0893, s2.loss_cls: 0.0316, s2.acc: 95.2480, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0425, loss: 0.9664 2022-09-14 13:46:45,600 - mmdet - INFO - Epoch [20][6800/7330] lr: 1.000e-04, eta: 1 day, 20:53:00, time: 1.380, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0280, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1264, s0.acc: 95.3613, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1859, s1.loss_cls: 0.0596, s1.acc: 95.5764, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0877, s2.loss_cls: 0.0306, s2.acc: 95.3627, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0417, loss: 0.9543 2022-09-14 13:47:57,484 - mmdet - INFO - Epoch [20][6850/7330] lr: 1.000e-04, eta: 1 day, 20:51:54, time: 1.439, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1262, s0.acc: 95.2815, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1827, s1.loss_cls: 0.0606, s1.acc: 95.5118, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0871, s2.loss_cls: 0.0313, s2.acc: 95.2934, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0415, loss: 0.9434 2022-09-14 13:49:05,879 - mmdet - INFO - Epoch [20][6900/7330] lr: 1.000e-04, eta: 1 day, 20:50:45, time: 1.368, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1274, s0.acc: 95.2903, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1853, s1.loss_cls: 0.0614, s1.acc: 95.4472, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0877, s2.loss_cls: 0.0312, s2.acc: 95.1901, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0415, loss: 0.9459 2022-09-14 13:50:14,432 - mmdet - INFO - Epoch [20][6950/7330] lr: 1.000e-04, eta: 1 day, 20:49:37, time: 1.371, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1766, s0.loss_cls: 0.1328, s0.acc: 95.1238, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1916, s1.loss_cls: 0.0643, s1.acc: 95.1815, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0902, s2.loss_cls: 0.0330, s2.acc: 94.9293, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0429, loss: 0.9867 2022-09-14 13:51:24,988 - mmdet - INFO - Epoch [20][7000/7330] lr: 1.000e-04, eta: 1 day, 20:48:30, time: 1.411, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1304, s0.acc: 95.2634, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1904, s1.loss_cls: 0.0618, s1.acc: 95.4062, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0888, s2.loss_cls: 0.0318, s2.acc: 95.2065, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0419, loss: 0.9741 2022-09-14 13:52:34,048 - mmdet - INFO - Epoch [20][7050/7330] lr: 1.000e-04, eta: 1 day, 20:47:21, time: 1.381, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1301, s0.acc: 95.2751, s0.loss_bbox: 0.0714, s0.loss_mask: 0.1895, s1.loss_cls: 0.0612, s1.acc: 95.5276, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0892, s2.loss_cls: 0.0310, s2.acc: 95.3387, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0425, loss: 0.9688 2022-09-14 13:53:42,128 - mmdet - INFO - Epoch [20][7100/7330] lr: 1.000e-04, eta: 1 day, 20:46:12, time: 1.362, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1728, s0.loss_cls: 0.1278, s0.acc: 95.3508, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1822, s1.loss_cls: 0.0614, s1.acc: 95.5676, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0859, s2.loss_cls: 0.0315, s2.acc: 95.3435, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0407, loss: 0.9510 2022-09-14 13:54:52,065 - mmdet - INFO - Epoch [20][7150/7330] lr: 1.000e-04, eta: 1 day, 20:45:05, time: 1.397, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1632, s0.loss_cls: 0.1275, s0.acc: 95.4114, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1889, s1.loss_cls: 0.0600, s1.acc: 95.6049, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0895, s2.loss_cls: 0.0314, s2.acc: 95.3848, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0420, loss: 0.9553 2022-09-14 13:56:01,830 - mmdet - INFO - Epoch [20][7200/7330] lr: 1.000e-04, eta: 1 day, 20:43:57, time: 1.397, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1376, s0.acc: 94.9414, s0.loss_bbox: 0.0769, s0.loss_mask: 0.1885, s1.loss_cls: 0.0667, s1.acc: 95.1572, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0889, s2.loss_cls: 0.0345, s2.acc: 94.8135, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0418, loss: 0.9970 2022-09-14 13:57:08,900 - mmdet - INFO - Epoch [20][7250/7330] lr: 1.000e-04, eta: 1 day, 20:42:47, time: 1.340, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1286, s0.acc: 95.3003, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1858, s1.loss_cls: 0.0618, s1.acc: 95.4291, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0886, s2.loss_cls: 0.0311, s2.acc: 95.3079, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0417, loss: 0.9559 2022-09-14 13:58:17,969 - mmdet - INFO - Epoch [20][7300/7330] lr: 1.000e-04, eta: 1 day, 20:41:39, time: 1.383, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1742, s0.loss_cls: 0.1278, s0.acc: 95.3330, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1832, s1.loss_cls: 0.0619, s1.acc: 95.4824, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0869, s2.loss_cls: 0.0315, s2.acc: 95.2641, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0412, loss: 0.9573 2022-09-14 13:59:09,920 - mmdet - INFO - Saving checkpoint at 20 epochs 2022-09-14 14:03:06,246 - mmdet - INFO - Evaluating bbox... 2022-09-14 14:04:07,549 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.565 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.751 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.626 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.414 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.604 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.692 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.734 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.734 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.734 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.585 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.771 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.856 2022-09-14 14:04:07,549 - mmdet - INFO - Evaluating segm... 2022-09-14 14:05:20,567 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.495 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.732 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.542 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.306 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.532 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.674 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.488 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.678 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.780 2022-09-14 14:05:21,940 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 14:05:21,942 - mmdet - INFO - Epoch(val) [20][313] bbox_mAP: 0.5650, bbox_mAP_50: 0.7510, bbox_mAP_75: 0.6260, bbox_mAP_s: 0.4140, bbox_mAP_m: 0.6040, bbox_mAP_l: 0.6920, bbox_mAP_copypaste: 0.565 0.751 0.626 0.414 0.604 0.692, segm_mAP: 0.4950, segm_mAP_50: 0.7320, segm_mAP_75: 0.5420, segm_mAP_s: 0.3060, segm_mAP_m: 0.5320, segm_mAP_l: 0.6740, segm_mAP_copypaste: 0.495 0.732 0.542 0.306 0.532 0.674 2022-09-14 14:08:58,422 - mmdet - INFO - Epoch [21][50/7330] lr: 1.000e-04, eta: 1 day, 20:41:15, time: 4.329, data_time: 2.940, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1315, s0.acc: 95.1357, s0.loss_bbox: 0.0759, s0.loss_mask: 0.1849, s1.loss_cls: 0.0624, s1.acc: 95.4196, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0871, s2.loss_cls: 0.0323, s2.acc: 95.1850, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0413, loss: 0.9697 2022-09-14 14:10:08,952 - mmdet - INFO - Epoch [21][100/7330] lr: 1.000e-04, eta: 1 day, 20:40:08, time: 1.410, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1633, s0.loss_cls: 0.1326, s0.acc: 95.1033, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1934, s1.loss_cls: 0.0634, s1.acc: 95.3110, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0915, s2.loss_cls: 0.0324, s2.acc: 95.1013, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0430, loss: 0.9824 2022-09-14 14:11:17,514 - mmdet - INFO - Epoch [21][150/7330] lr: 1.000e-04, eta: 1 day, 20:38:59, time: 1.371, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1690, s0.loss_cls: 0.1345, s0.acc: 95.0544, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1814, s1.loss_cls: 0.0645, s1.acc: 95.2835, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0863, s2.loss_cls: 0.0334, s2.acc: 94.9830, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0407, loss: 0.9703 2022-09-14 14:12:26,852 - mmdet - INFO - Epoch [21][200/7330] lr: 1.000e-04, eta: 1 day, 20:37:51, time: 1.387, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1700, s0.loss_cls: 0.1227, s0.acc: 95.4043, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1861, s1.loss_cls: 0.0589, s1.acc: 95.6395, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0883, s2.loss_cls: 0.0303, s2.acc: 95.4159, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0416, loss: 0.9510 2022-09-14 14:13:35,531 - mmdet - INFO - Epoch [21][250/7330] lr: 1.000e-04, eta: 1 day, 20:36:42, time: 1.373, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1628, s0.loss_cls: 0.1318, s0.acc: 95.1326, s0.loss_bbox: 0.0767, s0.loss_mask: 0.1911, s1.loss_cls: 0.0618, s1.acc: 95.3422, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0902, s2.loss_cls: 0.0318, s2.acc: 95.1787, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0423, loss: 0.9757 2022-09-14 14:14:42,679 - mmdet - INFO - Epoch [21][300/7330] lr: 1.000e-04, eta: 1 day, 20:35:33, time: 1.343, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1275, s0.acc: 95.3450, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1828, s1.loss_cls: 0.0614, s1.acc: 95.5760, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0859, s2.loss_cls: 0.0316, s2.acc: 95.3212, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0404, loss: 0.9402 2022-09-14 14:15:51,333 - mmdet - INFO - Epoch [21][350/7330] lr: 1.000e-04, eta: 1 day, 20:34:24, time: 1.373, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1683, s0.loss_cls: 0.1255, s0.acc: 95.3420, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1835, s1.loss_cls: 0.0599, s1.acc: 95.6260, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0871, s2.loss_cls: 0.0306, s2.acc: 95.4708, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0415, loss: 0.9455 2022-09-14 14:16:58,535 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 14:16:58,536 - mmdet - INFO - Epoch [21][400/7330] lr: 1.000e-04, eta: 1 day, 20:33:14, time: 1.344, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1670, s0.loss_cls: 0.1238, s0.acc: 95.5325, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1838, s1.loss_cls: 0.0596, s1.acc: 95.7280, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0868, s2.loss_cls: 0.0309, s2.acc: 95.4102, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0409, loss: 0.9341 2022-09-14 14:18:06,781 - mmdet - INFO - Epoch [21][450/7330] lr: 1.000e-04, eta: 1 day, 20:32:05, time: 1.365, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1669, s0.loss_cls: 0.1250, s0.acc: 95.3486, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1898, s1.loss_cls: 0.0584, s1.acc: 95.7363, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0895, s2.loss_cls: 0.0301, s2.acc: 95.5301, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0420, loss: 0.9565 2022-09-14 14:19:15,673 - mmdet - INFO - Epoch [21][500/7330] lr: 1.000e-04, eta: 1 day, 20:30:57, time: 1.378, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1738, s0.loss_cls: 0.1296, s0.acc: 95.1824, s0.loss_bbox: 0.0751, s0.loss_mask: 0.1877, s1.loss_cls: 0.0612, s1.acc: 95.4429, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0887, s2.loss_cls: 0.0313, s2.acc: 95.3136, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0422, loss: 0.9733 2022-09-14 14:20:23,843 - mmdet - INFO - Epoch [21][550/7330] lr: 1.000e-04, eta: 1 day, 20:29:48, time: 1.363, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1620, s0.loss_cls: 0.1227, s0.acc: 95.4700, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1808, s1.loss_cls: 0.0588, s1.acc: 95.7058, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0861, s2.loss_cls: 0.0301, s2.acc: 95.4747, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0408, loss: 0.9195 2022-09-14 14:21:31,650 - mmdet - INFO - Epoch [21][600/7330] lr: 1.000e-04, eta: 1 day, 20:28:39, time: 1.356, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1625, s0.loss_cls: 0.1253, s0.acc: 95.3652, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1900, s1.loss_cls: 0.0598, s1.acc: 95.5321, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0904, s2.loss_cls: 0.0305, s2.acc: 95.3603, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0429, loss: 0.9523 2022-09-14 14:22:39,332 - mmdet - INFO - Epoch [21][650/7330] lr: 1.000e-04, eta: 1 day, 20:27:29, time: 1.352, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1728, s0.loss_cls: 0.1293, s0.acc: 95.2239, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1812, s1.loss_cls: 0.0612, s1.acc: 95.4921, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0863, s2.loss_cls: 0.0313, s2.acc: 95.2962, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0410, loss: 0.9572 2022-09-14 14:23:47,993 - mmdet - INFO - Epoch [21][700/7330] lr: 1.000e-04, eta: 1 day, 20:26:21, time: 1.373, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1187, s0.acc: 95.7024, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1853, s1.loss_cls: 0.0563, s1.acc: 95.8704, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0875, s2.loss_cls: 0.0291, s2.acc: 95.6543, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0412, loss: 0.9206 2022-09-14 14:24:55,256 - mmdet - INFO - Epoch [21][750/7330] lr: 1.000e-04, eta: 1 day, 20:25:11, time: 1.347, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1677, s0.loss_cls: 0.1248, s0.acc: 95.4319, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1810, s1.loss_cls: 0.0587, s1.acc: 95.6844, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0858, s2.loss_cls: 0.0300, s2.acc: 95.5170, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0404, loss: 0.9320 2022-09-14 14:26:03,453 - mmdet - INFO - Epoch [21][800/7330] lr: 1.000e-04, eta: 1 day, 20:24:02, time: 1.364, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1671, s0.loss_cls: 0.1229, s0.acc: 95.4978, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1809, s1.loss_cls: 0.0580, s1.acc: 95.7756, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0859, s2.loss_cls: 0.0298, s2.acc: 95.6197, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0409, loss: 0.9393 2022-09-14 14:27:11,715 - mmdet - INFO - Epoch [21][850/7330] lr: 1.000e-04, eta: 1 day, 20:22:53, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1313, s0.acc: 95.0889, s0.loss_bbox: 0.0750, s0.loss_mask: 0.1880, s1.loss_cls: 0.0620, s1.acc: 95.4035, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0883, s2.loss_cls: 0.0326, s2.acc: 95.0585, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0415, loss: 0.9796 2022-09-14 14:28:19,327 - mmdet - INFO - Epoch [21][900/7330] lr: 1.000e-04, eta: 1 day, 20:21:44, time: 1.352, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1596, s0.loss_cls: 0.1188, s0.acc: 95.6221, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1803, s1.loss_cls: 0.0553, s1.acc: 95.9641, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0854, s2.loss_cls: 0.0288, s2.acc: 95.7026, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0401, loss: 0.9085 2022-09-14 14:29:27,852 - mmdet - INFO - Epoch [21][950/7330] lr: 1.000e-04, eta: 1 day, 20:20:35, time: 1.371, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1286, s0.acc: 95.2483, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1833, s1.loss_cls: 0.0620, s1.acc: 95.4169, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0864, s2.loss_cls: 0.0315, s2.acc: 95.2277, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0410, loss: 0.9494 2022-09-14 14:30:37,471 - mmdet - INFO - Epoch [21][1000/7330] lr: 1.000e-04, eta: 1 day, 20:19:27, time: 1.393, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1320, s0.acc: 95.1655, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1857, s1.loss_cls: 0.0632, s1.acc: 95.3222, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0875, s2.loss_cls: 0.0327, s2.acc: 95.0978, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0412, loss: 0.9614 2022-09-14 14:31:44,342 - mmdet - INFO - Epoch [21][1050/7330] lr: 1.000e-04, eta: 1 day, 20:18:17, time: 1.337, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1753, s0.loss_cls: 0.1298, s0.acc: 95.2380, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1848, s1.loss_cls: 0.0611, s1.acc: 95.5267, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0872, s2.loss_cls: 0.0314, s2.acc: 95.3565, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0413, loss: 0.9613 2022-09-14 14:32:52,479 - mmdet - INFO - Epoch [21][1100/7330] lr: 1.000e-04, eta: 1 day, 20:17:08, time: 1.362, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1740, s0.loss_cls: 0.1243, s0.acc: 95.4707, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1788, s1.loss_cls: 0.0598, s1.acc: 95.6914, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0847, s2.loss_cls: 0.0306, s2.acc: 95.4938, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0402, loss: 0.9388 2022-09-14 14:34:01,766 - mmdet - INFO - Epoch [21][1150/7330] lr: 1.000e-04, eta: 1 day, 20:16:00, time: 1.387, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1317, s0.acc: 95.3374, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1857, s1.loss_cls: 0.0613, s1.acc: 95.6207, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0885, s2.loss_cls: 0.0313, s2.acc: 95.4227, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0416, loss: 0.9540 2022-09-14 14:35:10,959 - mmdet - INFO - Epoch [21][1200/7330] lr: 1.000e-04, eta: 1 day, 20:14:52, time: 1.383, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1286, s0.acc: 95.2744, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1887, s1.loss_cls: 0.0621, s1.acc: 95.5097, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0888, s2.loss_cls: 0.0319, s2.acc: 95.2799, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0421, loss: 0.9651 2022-09-14 14:36:18,716 - mmdet - INFO - Epoch [21][1250/7330] lr: 1.000e-04, eta: 1 day, 20:13:43, time: 1.357, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1301, s0.acc: 95.2190, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1855, s1.loss_cls: 0.0625, s1.acc: 95.4250, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0874, s2.loss_cls: 0.0317, s2.acc: 95.2330, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0412, loss: 0.9626 2022-09-14 14:37:28,045 - mmdet - INFO - Epoch [21][1300/7330] lr: 1.000e-04, eta: 1 day, 20:12:35, time: 1.387, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1308, s0.acc: 95.2476, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1862, s1.loss_cls: 0.0628, s1.acc: 95.4103, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0879, s2.loss_cls: 0.0325, s2.acc: 95.2234, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0413, loss: 0.9633 2022-09-14 14:38:36,993 - mmdet - INFO - Epoch [21][1350/7330] lr: 1.000e-04, eta: 1 day, 20:11:27, time: 1.379, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1719, s0.loss_cls: 0.1275, s0.acc: 95.2976, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1864, s1.loss_cls: 0.0619, s1.acc: 95.3574, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0880, s2.loss_cls: 0.0321, s2.acc: 95.1752, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0416, loss: 0.9606 2022-09-14 14:39:45,524 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 14:39:45,528 - mmdet - INFO - Epoch [21][1400/7330] lr: 1.000e-04, eta: 1 day, 20:10:18, time: 1.371, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1654, s0.loss_cls: 0.1258, s0.acc: 95.2615, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1829, s1.loss_cls: 0.0607, s1.acc: 95.4849, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0865, s2.loss_cls: 0.0311, s2.acc: 95.3206, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0409, loss: 0.9506 2022-09-14 14:40:54,959 - mmdet - INFO - Epoch [21][1450/7330] lr: 1.000e-04, eta: 1 day, 20:09:10, time: 1.389, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1201, s0.acc: 95.6118, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1796, s1.loss_cls: 0.0574, s1.acc: 95.7898, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0853, s2.loss_cls: 0.0297, s2.acc: 95.5428, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0406, loss: 0.9119 2022-09-14 14:42:04,790 - mmdet - INFO - Epoch [21][1500/7330] lr: 1.000e-04, eta: 1 day, 20:08:02, time: 1.396, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1280, s0.acc: 95.2761, s0.loss_bbox: 0.0714, s0.loss_mask: 0.1843, s1.loss_cls: 0.0606, s1.acc: 95.5295, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0870, s2.loss_cls: 0.0314, s2.acc: 95.3066, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0417, loss: 0.9523 2022-09-14 14:43:13,686 - mmdet - INFO - Epoch [21][1550/7330] lr: 1.000e-04, eta: 1 day, 20:06:54, time: 1.376, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1659, s0.loss_cls: 0.1223, s0.acc: 95.4895, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1792, s1.loss_cls: 0.0593, s1.acc: 95.7017, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0843, s2.loss_cls: 0.0307, s2.acc: 95.5023, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0403, loss: 0.9177 2022-09-14 14:44:22,400 - mmdet - INFO - Epoch [21][1600/7330] lr: 1.000e-04, eta: 1 day, 20:05:45, time: 1.376, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1244, s0.acc: 95.5576, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1833, s1.loss_cls: 0.0594, s1.acc: 95.6848, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0871, s2.loss_cls: 0.0304, s2.acc: 95.5135, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0414, loss: 0.9261 2022-09-14 14:45:30,968 - mmdet - INFO - Epoch [21][1650/7330] lr: 1.000e-04, eta: 1 day, 20:04:37, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1253, s0.acc: 95.5010, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1869, s1.loss_cls: 0.0595, s1.acc: 95.7094, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0886, s2.loss_cls: 0.0307, s2.acc: 95.4959, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0419, loss: 0.9396 2022-09-14 14:46:39,277 - mmdet - INFO - Epoch [21][1700/7330] lr: 1.000e-04, eta: 1 day, 20:03:28, time: 1.368, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1302, s0.acc: 95.2854, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1850, s1.loss_cls: 0.0635, s1.acc: 95.4239, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0872, s2.loss_cls: 0.0329, s2.acc: 95.1323, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0412, loss: 0.9638 2022-09-14 14:47:47,266 - mmdet - INFO - Epoch [21][1750/7330] lr: 1.000e-04, eta: 1 day, 20:02:19, time: 1.360, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1625, s0.loss_cls: 0.1205, s0.acc: 95.5938, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1765, s1.loss_cls: 0.0569, s1.acc: 95.9022, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0837, s2.loss_cls: 0.0294, s2.acc: 95.6329, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0396, loss: 0.9146 2022-09-14 14:48:55,914 - mmdet - INFO - Epoch [21][1800/7330] lr: 1.000e-04, eta: 1 day, 20:01:10, time: 1.373, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1405, s0.acc: 94.9258, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1938, s1.loss_cls: 0.0664, s1.acc: 95.1495, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0909, s2.loss_cls: 0.0341, s2.acc: 94.8945, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0427, loss: 1.0065 2022-09-14 14:50:03,839 - mmdet - INFO - Epoch [21][1850/7330] lr: 1.000e-04, eta: 1 day, 20:00:01, time: 1.358, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1679, s0.loss_cls: 0.1253, s0.acc: 95.4404, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1874, s1.loss_cls: 0.0590, s1.acc: 95.7696, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0895, s2.loss_cls: 0.0308, s2.acc: 95.4331, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0421, loss: 0.9570 2022-09-14 14:51:12,623 - mmdet - INFO - Epoch [21][1900/7330] lr: 1.000e-04, eta: 1 day, 19:58:52, time: 1.374, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1317, s0.acc: 95.1321, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1869, s1.loss_cls: 0.0618, s1.acc: 95.4034, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0893, s2.loss_cls: 0.0314, s2.acc: 95.3815, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0422, loss: 0.9648 2022-09-14 14:52:20,296 - mmdet - INFO - Epoch [21][1950/7330] lr: 1.000e-04, eta: 1 day, 19:57:43, time: 1.355, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1651, s0.loss_cls: 0.1303, s0.acc: 95.2817, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1856, s1.loss_cls: 0.0621, s1.acc: 95.5150, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0876, s2.loss_cls: 0.0321, s2.acc: 95.2738, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0411, loss: 0.9558 2022-09-14 14:53:28,136 - mmdet - INFO - Epoch [21][2000/7330] lr: 1.000e-04, eta: 1 day, 19:56:34, time: 1.355, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1671, s0.loss_cls: 0.1286, s0.acc: 95.2988, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1815, s1.loss_cls: 0.0615, s1.acc: 95.5639, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0862, s2.loss_cls: 0.0319, s2.acc: 95.2794, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0409, loss: 0.9478 2022-09-14 14:54:37,244 - mmdet - INFO - Epoch [21][2050/7330] lr: 1.000e-04, eta: 1 day, 19:55:26, time: 1.384, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1653, s0.loss_cls: 0.1374, s0.acc: 94.9565, s0.loss_bbox: 0.0790, s0.loss_mask: 0.1916, s1.loss_cls: 0.0660, s1.acc: 95.1440, s1.loss_bbox: 0.0905, s1.loss_mask: 0.0906, s2.loss_cls: 0.0340, s2.acc: 94.8200, s2.loss_bbox: 0.0589, s2.loss_mask: 0.0425, loss: 1.0035 2022-09-14 14:55:46,312 - mmdet - INFO - Epoch [21][2100/7330] lr: 1.000e-04, eta: 1 day, 19:54:17, time: 1.381, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1616, s0.loss_cls: 0.1260, s0.acc: 95.3584, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1863, s1.loss_cls: 0.0603, s1.acc: 95.5557, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0874, s2.loss_cls: 0.0317, s2.acc: 95.1717, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0412, loss: 0.9520 2022-09-14 14:56:55,011 - mmdet - INFO - Epoch [21][2150/7330] lr: 1.000e-04, eta: 1 day, 19:53:09, time: 1.374, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1618, s0.loss_cls: 0.1331, s0.acc: 95.1125, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1878, s1.loss_cls: 0.0639, s1.acc: 95.3599, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0884, s2.loss_cls: 0.0325, s2.acc: 95.1798, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0417, loss: 0.9658 2022-09-14 14:58:03,394 - mmdet - INFO - Epoch [21][2200/7330] lr: 1.000e-04, eta: 1 day, 19:52:00, time: 1.368, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1707, s0.loss_cls: 0.1244, s0.acc: 95.4746, s0.loss_bbox: 0.0651, s0.loss_mask: 0.1766, s1.loss_cls: 0.0594, s1.acc: 95.6661, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0843, s2.loss_cls: 0.0306, s2.acc: 95.3878, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0398, loss: 0.9210 2022-09-14 14:59:12,591 - mmdet - INFO - Epoch [21][2250/7330] lr: 1.000e-04, eta: 1 day, 19:50:52, time: 1.384, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1668, s0.loss_cls: 0.1316, s0.acc: 95.2434, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1869, s1.loss_cls: 0.0630, s1.acc: 95.4028, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0877, s2.loss_cls: 0.0331, s2.acc: 95.1205, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0411, loss: 0.9645 2022-09-14 15:00:21,330 - mmdet - INFO - Epoch [21][2300/7330] lr: 1.000e-04, eta: 1 day, 19:49:43, time: 1.375, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1690, s0.loss_cls: 0.1303, s0.acc: 95.2366, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1882, s1.loss_cls: 0.0617, s1.acc: 95.5419, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0900, s2.loss_cls: 0.0320, s2.acc: 95.2811, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0429, loss: 0.9676 2022-09-14 15:01:30,798 - mmdet - INFO - Epoch [21][2350/7330] lr: 1.000e-04, eta: 1 day, 19:48:35, time: 1.389, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1707, s0.loss_cls: 0.1385, s0.acc: 95.0007, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1887, s1.loss_cls: 0.0669, s1.acc: 95.1806, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0897, s2.loss_cls: 0.0345, s2.acc: 94.9332, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0424, loss: 0.9900 2022-09-14 15:02:39,317 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 15:02:39,320 - mmdet - INFO - Epoch [21][2400/7330] lr: 1.000e-04, eta: 1 day, 19:47:27, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1665, s0.loss_cls: 0.1284, s0.acc: 95.3228, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1847, s1.loss_cls: 0.0621, s1.acc: 95.5233, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0875, s2.loss_cls: 0.0322, s2.acc: 95.1717, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0417, loss: 0.9546 2022-09-14 15:03:48,533 - mmdet - INFO - Epoch [21][2450/7330] lr: 1.000e-04, eta: 1 day, 19:46:19, time: 1.383, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1289, s0.acc: 95.2639, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1838, s1.loss_cls: 0.0614, s1.acc: 95.4549, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0869, s2.loss_cls: 0.0317, s2.acc: 95.2712, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0407, loss: 0.9566 2022-09-14 15:04:57,257 - mmdet - INFO - Epoch [21][2500/7330] lr: 1.000e-04, eta: 1 day, 19:45:10, time: 1.376, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1651, s0.loss_cls: 0.1296, s0.acc: 95.2373, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1885, s1.loss_cls: 0.0619, s1.acc: 95.5136, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0883, s2.loss_cls: 0.0319, s2.acc: 95.3654, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0417, loss: 0.9540 2022-09-14 15:06:06,693 - mmdet - INFO - Epoch [21][2550/7330] lr: 1.000e-04, eta: 1 day, 19:44:02, time: 1.389, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1627, s0.loss_cls: 0.1244, s0.acc: 95.4907, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1834, s1.loss_cls: 0.0586, s1.acc: 95.8214, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0865, s2.loss_cls: 0.0303, s2.acc: 95.6316, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0406, loss: 0.9348 2022-09-14 15:07:15,823 - mmdet - INFO - Epoch [21][2600/7330] lr: 1.000e-04, eta: 1 day, 19:42:54, time: 1.381, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1233, s0.acc: 95.4800, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1870, s1.loss_cls: 0.0592, s1.acc: 95.6878, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0890, s2.loss_cls: 0.0308, s2.acc: 95.4670, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0422, loss: 0.9506 2022-09-14 15:08:23,730 - mmdet - INFO - Epoch [21][2650/7330] lr: 1.000e-04, eta: 1 day, 19:41:45, time: 1.360, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1602, s0.loss_cls: 0.1327, s0.acc: 95.1682, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1883, s1.loss_cls: 0.0630, s1.acc: 95.3622, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0885, s2.loss_cls: 0.0325, s2.acc: 95.1052, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0421, loss: 0.9694 2022-09-14 15:09:33,150 - mmdet - INFO - Epoch [21][2700/7330] lr: 1.000e-04, eta: 1 day, 19:40:37, time: 1.388, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1295, s0.acc: 95.3118, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1839, s1.loss_cls: 0.0622, s1.acc: 95.4934, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0874, s2.loss_cls: 0.0319, s2.acc: 95.2832, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0410, loss: 0.9551 2022-09-14 15:10:42,480 - mmdet - INFO - Epoch [21][2750/7330] lr: 1.000e-04, eta: 1 day, 19:39:29, time: 1.387, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1264, s0.acc: 95.3462, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1854, s1.loss_cls: 0.0600, s1.acc: 95.5650, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0888, s2.loss_cls: 0.0313, s2.acc: 95.3166, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0422, loss: 0.9529 2022-09-14 15:11:50,847 - mmdet - INFO - Epoch [21][2800/7330] lr: 1.000e-04, eta: 1 day, 19:38:20, time: 1.367, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1320, s0.acc: 95.1882, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1890, s1.loss_cls: 0.0646, s1.acc: 95.3447, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0896, s2.loss_cls: 0.0330, s2.acc: 95.0918, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0425, loss: 0.9834 2022-09-14 15:12:59,122 - mmdet - INFO - Epoch [21][2850/7330] lr: 1.000e-04, eta: 1 day, 19:37:11, time: 1.364, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1691, s0.loss_cls: 0.1257, s0.acc: 95.4199, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1860, s1.loss_cls: 0.0598, s1.acc: 95.5784, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0886, s2.loss_cls: 0.0307, s2.acc: 95.3921, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0422, loss: 0.9466 2022-09-14 15:14:07,611 - mmdet - INFO - Epoch [21][2900/7330] lr: 1.000e-04, eta: 1 day, 19:36:02, time: 1.371, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1681, s0.loss_cls: 0.1282, s0.acc: 95.2905, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1844, s1.loss_cls: 0.0609, s1.acc: 95.5113, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0872, s2.loss_cls: 0.0312, s2.acc: 95.3227, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0409, loss: 0.9576 2022-09-14 15:15:16,367 - mmdet - INFO - Epoch [21][2950/7330] lr: 1.000e-04, eta: 1 day, 19:34:54, time: 1.375, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1682, s0.loss_cls: 0.1291, s0.acc: 95.2173, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1832, s1.loss_cls: 0.0613, s1.acc: 95.4784, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0867, s2.loss_cls: 0.0312, s2.acc: 95.3129, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0411, loss: 0.9540 2022-09-14 15:16:25,690 - mmdet - INFO - Epoch [21][3000/7330] lr: 1.000e-04, eta: 1 day, 19:33:46, time: 1.386, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1778, s0.loss_cls: 0.1259, s0.acc: 95.3479, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1882, s1.loss_cls: 0.0596, s1.acc: 95.6048, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0892, s2.loss_cls: 0.0304, s2.acc: 95.3931, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0424, loss: 0.9630 2022-09-14 15:17:34,684 - mmdet - INFO - Epoch [21][3050/7330] lr: 1.000e-04, eta: 1 day, 19:32:37, time: 1.380, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1263, s0.acc: 95.3887, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1860, s1.loss_cls: 0.0607, s1.acc: 95.4727, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0889, s2.loss_cls: 0.0314, s2.acc: 95.2677, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0422, loss: 0.9535 2022-09-14 15:18:42,911 - mmdet - INFO - Epoch [21][3100/7330] lr: 1.000e-04, eta: 1 day, 19:31:28, time: 1.364, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1665, s0.loss_cls: 0.1220, s0.acc: 95.5457, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1837, s1.loss_cls: 0.0581, s1.acc: 95.7677, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0871, s2.loss_cls: 0.0297, s2.acc: 95.5437, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0413, loss: 0.9344 2022-09-14 15:19:51,325 - mmdet - INFO - Epoch [21][3150/7330] lr: 1.000e-04, eta: 1 day, 19:30:20, time: 1.368, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1698, s0.loss_cls: 0.1185, s0.acc: 95.5894, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1789, s1.loss_cls: 0.0554, s1.acc: 95.9254, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0849, s2.loss_cls: 0.0286, s2.acc: 95.7210, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0402, loss: 0.9165 2022-09-14 15:20:59,415 - mmdet - INFO - Epoch [21][3200/7330] lr: 1.000e-04, eta: 1 day, 19:29:11, time: 1.362, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1691, s0.loss_cls: 0.1253, s0.acc: 95.4514, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1826, s1.loss_cls: 0.0599, s1.acc: 95.6225, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0868, s2.loss_cls: 0.0307, s2.acc: 95.3532, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0409, loss: 0.9397 2022-09-14 15:22:08,800 - mmdet - INFO - Epoch [21][3250/7330] lr: 1.000e-04, eta: 1 day, 19:28:03, time: 1.388, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1243, s0.acc: 95.4751, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1827, s1.loss_cls: 0.0583, s1.acc: 95.7621, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0863, s2.loss_cls: 0.0302, s2.acc: 95.4578, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0407, loss: 0.9413 2022-09-14 15:23:17,742 - mmdet - INFO - Epoch [21][3300/7330] lr: 1.000e-04, eta: 1 day, 19:26:54, time: 1.379, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1314, s0.acc: 95.2351, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1892, s1.loss_cls: 0.0641, s1.acc: 95.3444, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0885, s2.loss_cls: 0.0332, s2.acc: 95.1329, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0421, loss: 0.9724 2022-09-14 15:24:26,342 - mmdet - INFO - Epoch [21][3350/7330] lr: 1.000e-04, eta: 1 day, 19:25:46, time: 1.372, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1595, s0.loss_cls: 0.1263, s0.acc: 95.3113, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1824, s1.loss_cls: 0.0600, s1.acc: 95.5757, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0863, s2.loss_cls: 0.0306, s2.acc: 95.4323, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0407, loss: 0.9293 2022-09-14 15:25:33,854 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 15:25:33,861 - mmdet - INFO - Epoch [21][3400/7330] lr: 1.000e-04, eta: 1 day, 19:24:36, time: 1.350, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1768, s0.loss_cls: 0.1270, s0.acc: 95.3389, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1848, s1.loss_cls: 0.0612, s1.acc: 95.5507, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0882, s2.loss_cls: 0.0317, s2.acc: 95.2722, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0417, loss: 0.9619 2022-09-14 15:26:41,876 - mmdet - INFO - Epoch [21][3450/7330] lr: 1.000e-04, eta: 1 day, 19:23:27, time: 1.360, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1719, s0.loss_cls: 0.1293, s0.acc: 95.2671, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1894, s1.loss_cls: 0.0614, s1.acc: 95.4834, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0889, s2.loss_cls: 0.0318, s2.acc: 95.2879, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0416, loss: 0.9700 2022-09-14 15:27:50,486 - mmdet - INFO - Epoch [21][3500/7330] lr: 1.000e-04, eta: 1 day, 19:22:19, time: 1.372, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1600, s0.loss_cls: 0.1226, s0.acc: 95.5500, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1828, s1.loss_cls: 0.0589, s1.acc: 95.7268, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0868, s2.loss_cls: 0.0303, s2.acc: 95.4813, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0411, loss: 0.9214 2022-09-14 15:28:59,528 - mmdet - INFO - Epoch [21][3550/7330] lr: 1.000e-04, eta: 1 day, 19:21:10, time: 1.381, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0275, loss_semantic_seg: 0.1631, s0.loss_cls: 0.1231, s0.acc: 95.4985, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1816, s1.loss_cls: 0.0582, s1.acc: 95.8021, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0862, s2.loss_cls: 0.0301, s2.acc: 95.5075, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0411, loss: 0.9319 2022-09-14 15:30:07,546 - mmdet - INFO - Epoch [21][3600/7330] lr: 1.000e-04, eta: 1 day, 19:20:01, time: 1.360, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1688, s0.loss_cls: 0.1269, s0.acc: 95.3884, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1836, s1.loss_cls: 0.0605, s1.acc: 95.6191, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0864, s2.loss_cls: 0.0312, s2.acc: 95.4292, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0406, loss: 0.9502 2022-09-14 15:31:15,268 - mmdet - INFO - Epoch [21][3650/7330] lr: 1.000e-04, eta: 1 day, 19:18:52, time: 1.355, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1702, s0.loss_cls: 0.1370, s0.acc: 95.0522, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1888, s1.loss_cls: 0.0647, s1.acc: 95.3706, s1.loss_bbox: 0.0854, s1.loss_mask: 0.0891, s2.loss_cls: 0.0330, s2.acc: 95.1717, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0419, loss: 0.9873 2022-09-14 15:32:23,409 - mmdet - INFO - Epoch [21][3700/7330] lr: 1.000e-04, eta: 1 day, 19:17:43, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1657, s0.loss_cls: 0.1226, s0.acc: 95.4543, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1805, s1.loss_cls: 0.0576, s1.acc: 95.7816, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0857, s2.loss_cls: 0.0296, s2.acc: 95.5422, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0408, loss: 0.9347 2022-09-14 15:33:32,680 - mmdet - INFO - Epoch [21][3750/7330] lr: 1.000e-04, eta: 1 day, 19:16:35, time: 1.385, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1610, s0.loss_cls: 0.1264, s0.acc: 95.4709, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1818, s1.loss_cls: 0.0609, s1.acc: 95.6313, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0867, s2.loss_cls: 0.0315, s2.acc: 95.3579, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0410, loss: 0.9313 2022-09-14 15:34:41,780 - mmdet - INFO - Epoch [21][3800/7330] lr: 1.000e-04, eta: 1 day, 19:15:27, time: 1.382, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1322, s0.acc: 95.1897, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1852, s1.loss_cls: 0.0629, s1.acc: 95.3689, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0875, s2.loss_cls: 0.0329, s2.acc: 95.1702, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0411, loss: 0.9656 2022-09-14 15:35:50,442 - mmdet - INFO - Epoch [21][3850/7330] lr: 1.000e-04, eta: 1 day, 19:14:18, time: 1.373, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1347, s0.acc: 95.1104, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1878, s1.loss_cls: 0.0652, s1.acc: 95.2240, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0886, s2.loss_cls: 0.0335, s2.acc: 95.0005, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0420, loss: 0.9834 2022-09-14 15:36:59,244 - mmdet - INFO - Epoch [21][3900/7330] lr: 1.000e-04, eta: 1 day, 19:13:10, time: 1.376, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1736, s0.loss_cls: 0.1218, s0.acc: 95.6523, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1813, s1.loss_cls: 0.0585, s1.acc: 95.8974, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0856, s2.loss_cls: 0.0306, s2.acc: 95.6553, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0409, loss: 0.9285 2022-09-14 15:38:07,498 - mmdet - INFO - Epoch [21][3950/7330] lr: 1.000e-04, eta: 1 day, 19:12:01, time: 1.365, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1223, s0.acc: 95.6226, s0.loss_bbox: 0.0675, s0.loss_mask: 0.1880, s1.loss_cls: 0.0594, s1.acc: 95.7594, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0889, s2.loss_cls: 0.0306, s2.acc: 95.4758, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0421, loss: 0.9368 2022-09-14 15:39:15,445 - mmdet - INFO - Epoch [21][4000/7330] lr: 1.000e-04, eta: 1 day, 19:10:51, time: 1.357, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1708, s0.loss_cls: 0.1254, s0.acc: 95.3745, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1861, s1.loss_cls: 0.0603, s1.acc: 95.5833, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0884, s2.loss_cls: 0.0306, s2.acc: 95.3491, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0421, loss: 0.9562 2022-09-14 15:40:24,729 - mmdet - INFO - Epoch [21][4050/7330] lr: 1.000e-04, eta: 1 day, 19:09:43, time: 1.387, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1676, s0.loss_cls: 0.1370, s0.acc: 94.9978, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1887, s1.loss_cls: 0.0664, s1.acc: 95.1711, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0888, s2.loss_cls: 0.0343, s2.acc: 94.8717, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0420, loss: 0.9897 2022-09-14 15:41:34,421 - mmdet - INFO - Epoch [21][4100/7330] lr: 1.000e-04, eta: 1 day, 19:08:36, time: 1.393, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1632, s0.loss_cls: 0.1361, s0.acc: 95.0798, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1854, s1.loss_cls: 0.0654, s1.acc: 95.2755, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0883, s2.loss_cls: 0.0337, s2.acc: 94.9558, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0420, loss: 0.9711 2022-09-14 15:42:43,141 - mmdet - INFO - Epoch [21][4150/7330] lr: 1.000e-04, eta: 1 day, 19:07:27, time: 1.375, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1286, s0.acc: 95.3091, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1892, s1.loss_cls: 0.0630, s1.acc: 95.4310, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0897, s2.loss_cls: 0.0327, s2.acc: 95.1903, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0424, loss: 0.9797 2022-09-14 15:43:51,044 - mmdet - INFO - Epoch [21][4200/7330] lr: 1.000e-04, eta: 1 day, 19:06:18, time: 1.358, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1700, s0.loss_cls: 0.1222, s0.acc: 95.5374, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1807, s1.loss_cls: 0.0580, s1.acc: 95.7523, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0862, s2.loss_cls: 0.0301, s2.acc: 95.5189, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0408, loss: 0.9335 2022-09-14 15:45:00,738 - mmdet - INFO - Epoch [21][4250/7330] lr: 1.000e-04, eta: 1 day, 19:05:10, time: 1.394, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1335, s0.acc: 95.1228, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1840, s1.loss_cls: 0.0642, s1.acc: 95.3434, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0873, s2.loss_cls: 0.0333, s2.acc: 95.0734, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0411, loss: 0.9806 2022-09-14 15:46:09,428 - mmdet - INFO - Epoch [21][4300/7330] lr: 1.000e-04, eta: 1 day, 19:04:02, time: 1.374, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1284, s0.acc: 95.3503, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1867, s1.loss_cls: 0.0603, s1.acc: 95.6692, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0881, s2.loss_cls: 0.0317, s2.acc: 95.3164, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0415, loss: 0.9587 2022-09-14 15:47:17,929 - mmdet - INFO - Epoch [21][4350/7330] lr: 1.000e-04, eta: 1 day, 19:02:53, time: 1.370, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1266, s0.acc: 95.2827, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1837, s1.loss_cls: 0.0597, s1.acc: 95.5500, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0878, s2.loss_cls: 0.0312, s2.acc: 95.2784, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0416, loss: 0.9563 2022-09-14 15:48:26,592 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 15:48:26,597 - mmdet - INFO - Epoch [21][4400/7330] lr: 1.000e-04, eta: 1 day, 19:01:44, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1602, s0.loss_cls: 0.1244, s0.acc: 95.4473, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1853, s1.loss_cls: 0.0592, s1.acc: 95.6723, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0879, s2.loss_cls: 0.0305, s2.acc: 95.4528, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0413, loss: 0.9287 2022-09-14 15:49:35,601 - mmdet - INFO - Epoch [21][4450/7330] lr: 1.000e-04, eta: 1 day, 19:00:36, time: 1.380, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1300, s0.acc: 95.2195, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1889, s1.loss_cls: 0.0624, s1.acc: 95.4107, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0902, s2.loss_cls: 0.0320, s2.acc: 95.1198, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0424, loss: 0.9696 2022-09-14 15:50:49,257 - mmdet - INFO - Epoch [21][4500/7330] lr: 1.000e-04, eta: 1 day, 18:59:31, time: 1.473, data_time: 0.049, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1632, s0.loss_cls: 0.1289, s0.acc: 95.2817, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1853, s1.loss_cls: 0.0619, s1.acc: 95.5017, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0874, s2.loss_cls: 0.0318, s2.acc: 95.2986, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0416, loss: 0.9505 2022-09-14 15:51:59,708 - mmdet - INFO - Epoch [21][4550/7330] lr: 1.000e-04, eta: 1 day, 18:58:24, time: 1.409, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1779, s0.loss_cls: 0.1214, s0.acc: 95.5833, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1872, s1.loss_cls: 0.0573, s1.acc: 95.8087, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0886, s2.loss_cls: 0.0296, s2.acc: 95.7178, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0419, loss: 0.9481 2022-09-14 15:53:08,496 - mmdet - INFO - Epoch [21][4600/7330] lr: 1.000e-04, eta: 1 day, 18:57:15, time: 1.376, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1605, s0.loss_cls: 0.1225, s0.acc: 95.4451, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1858, s1.loss_cls: 0.0577, s1.acc: 95.7766, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0885, s2.loss_cls: 0.0300, s2.acc: 95.5013, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0419, loss: 0.9382 2022-09-14 15:54:18,322 - mmdet - INFO - Epoch [21][4650/7330] lr: 1.000e-04, eta: 1 day, 18:56:08, time: 1.396, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1303, s0.acc: 95.2483, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1843, s1.loss_cls: 0.0617, s1.acc: 95.4968, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0870, s2.loss_cls: 0.0317, s2.acc: 95.2946, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0414, loss: 0.9580 2022-09-14 15:55:26,673 - mmdet - INFO - Epoch [21][4700/7330] lr: 1.000e-04, eta: 1 day, 18:54:59, time: 1.367, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1748, s0.loss_cls: 0.1308, s0.acc: 95.2893, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1914, s1.loss_cls: 0.0631, s1.acc: 95.4952, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0903, s2.loss_cls: 0.0326, s2.acc: 95.2643, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0426, loss: 0.9847 2022-09-14 15:56:34,861 - mmdet - INFO - Epoch [21][4750/7330] lr: 1.000e-04, eta: 1 day, 18:53:50, time: 1.364, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1666, s0.loss_cls: 0.1290, s0.acc: 95.2493, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1888, s1.loss_cls: 0.0617, s1.acc: 95.4595, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0898, s2.loss_cls: 0.0317, s2.acc: 95.2365, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0430, loss: 0.9612 2022-09-14 15:57:42,530 - mmdet - INFO - Epoch [21][4800/7330] lr: 1.000e-04, eta: 1 day, 18:52:41, time: 1.353, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1279, s0.acc: 95.3254, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1899, s1.loss_cls: 0.0602, s1.acc: 95.6083, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0895, s2.loss_cls: 0.0306, s2.acc: 95.4377, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0425, loss: 0.9691 2022-09-14 15:58:51,872 - mmdet - INFO - Epoch [21][4850/7330] lr: 1.000e-04, eta: 1 day, 18:51:32, time: 1.387, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1718, s0.loss_cls: 0.1280, s0.acc: 95.4077, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1911, s1.loss_cls: 0.0618, s1.acc: 95.6299, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0905, s2.loss_cls: 0.0319, s2.acc: 95.2189, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0426, loss: 0.9692 2022-09-14 16:00:00,517 - mmdet - INFO - Epoch [21][4900/7330] lr: 1.000e-04, eta: 1 day, 18:50:24, time: 1.373, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1274, s0.acc: 95.4578, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1823, s1.loss_cls: 0.0611, s1.acc: 95.7094, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0855, s2.loss_cls: 0.0315, s2.acc: 95.4243, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0404, loss: 0.9441 2022-09-14 16:01:08,905 - mmdet - INFO - Epoch [21][4950/7330] lr: 1.000e-04, eta: 1 day, 18:49:15, time: 1.368, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0270, loss_semantic_seg: 0.1772, s0.loss_cls: 0.1265, s0.acc: 95.3513, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1860, s1.loss_cls: 0.0615, s1.acc: 95.5853, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0877, s2.loss_cls: 0.0318, s2.acc: 95.2998, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0415, loss: 0.9622 2022-09-14 16:02:16,955 - mmdet - INFO - Epoch [21][5000/7330] lr: 1.000e-04, eta: 1 day, 18:48:06, time: 1.359, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1793, s0.loss_cls: 0.1270, s0.acc: 95.3777, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1856, s1.loss_cls: 0.0614, s1.acc: 95.5733, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0880, s2.loss_cls: 0.0316, s2.acc: 95.3294, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0417, loss: 0.9591 2022-09-14 16:03:26,945 - mmdet - INFO - Epoch [21][5050/7330] lr: 1.000e-04, eta: 1 day, 18:46:58, time: 1.401, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1715, s0.loss_cls: 0.1345, s0.acc: 95.0620, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1851, s1.loss_cls: 0.0633, s1.acc: 95.3100, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0879, s2.loss_cls: 0.0327, s2.acc: 95.0608, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0416, loss: 0.9851 2022-09-14 16:04:34,379 - mmdet - INFO - Epoch [21][5100/7330] lr: 1.000e-04, eta: 1 day, 18:45:49, time: 1.349, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1700, s0.loss_cls: 0.1364, s0.acc: 95.0178, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1941, s1.loss_cls: 0.0652, s1.acc: 95.2680, s1.loss_bbox: 0.0872, s1.loss_mask: 0.0919, s2.loss_cls: 0.0332, s2.acc: 95.1040, s2.loss_bbox: 0.0572, s2.loss_mask: 0.0432, loss: 1.0021 2022-09-14 16:05:43,601 - mmdet - INFO - Epoch [21][5150/7330] lr: 1.000e-04, eta: 1 day, 18:44:41, time: 1.384, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1716, s0.loss_cls: 0.1273, s0.acc: 95.2429, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1877, s1.loss_cls: 0.0598, s1.acc: 95.5083, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0893, s2.loss_cls: 0.0311, s2.acc: 95.2414, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0422, loss: 0.9633 2022-09-14 16:06:51,521 - mmdet - INFO - Epoch [21][5200/7330] lr: 1.000e-04, eta: 1 day, 18:43:32, time: 1.359, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1183, s0.acc: 95.7239, s0.loss_bbox: 0.0636, s0.loss_mask: 0.1791, s1.loss_cls: 0.0570, s1.acc: 95.9203, s1.loss_bbox: 0.0762, s1.loss_mask: 0.0853, s2.loss_cls: 0.0297, s2.acc: 95.6602, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0407, loss: 0.9082 2022-09-14 16:08:02,033 - mmdet - INFO - Epoch [21][5250/7330] lr: 1.000e-04, eta: 1 day, 18:42:24, time: 1.410, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1755, s0.loss_cls: 0.1329, s0.acc: 95.2449, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1882, s1.loss_cls: 0.0628, s1.acc: 95.5212, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0889, s2.loss_cls: 0.0318, s2.acc: 95.4061, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0427, loss: 0.9718 2022-09-14 16:09:10,930 - mmdet - INFO - Epoch [21][5300/7330] lr: 1.000e-04, eta: 1 day, 18:41:16, time: 1.378, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1753, s0.loss_cls: 0.1397, s0.acc: 94.9451, s0.loss_bbox: 0.0793, s0.loss_mask: 0.1973, s1.loss_cls: 0.0664, s1.acc: 95.2408, s1.loss_bbox: 0.0886, s1.loss_mask: 0.0930, s2.loss_cls: 0.0338, s2.acc: 95.0287, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0435, loss: 1.0210 2022-09-14 16:10:19,851 - mmdet - INFO - Epoch [21][5350/7330] lr: 1.000e-04, eta: 1 day, 18:40:08, time: 1.378, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1641, s0.loss_cls: 0.1333, s0.acc: 95.1147, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1887, s1.loss_cls: 0.0640, s1.acc: 95.3429, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0892, s2.loss_cls: 0.0325, s2.acc: 95.1727, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0420, loss: 0.9740 2022-09-14 16:11:28,186 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 16:11:28,200 - mmdet - INFO - Epoch [21][5400/7330] lr: 1.000e-04, eta: 1 day, 18:38:59, time: 1.367, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1271, s0.acc: 95.3367, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1841, s1.loss_cls: 0.0603, s1.acc: 95.5791, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0870, s2.loss_cls: 0.0306, s2.acc: 95.4075, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0408, loss: 0.9428 2022-09-14 16:12:35,947 - mmdet - INFO - Epoch [21][5450/7330] lr: 1.000e-04, eta: 1 day, 18:37:49, time: 1.354, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1273, s0.acc: 95.3271, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1828, s1.loss_cls: 0.0615, s1.acc: 95.5146, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0867, s2.loss_cls: 0.0320, s2.acc: 95.1729, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0415, loss: 0.9467 2022-09-14 16:13:44,345 - mmdet - INFO - Epoch [21][5500/7330] lr: 1.000e-04, eta: 1 day, 18:36:41, time: 1.369, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1780, s0.loss_cls: 0.1303, s0.acc: 95.2173, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1913, s1.loss_cls: 0.0617, s1.acc: 95.4273, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0906, s2.loss_cls: 0.0318, s2.acc: 95.1708, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0429, loss: 0.9807 2022-09-14 16:14:52,805 - mmdet - INFO - Epoch [21][5550/7330] lr: 1.000e-04, eta: 1 day, 18:35:32, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1598, s0.loss_cls: 0.1331, s0.acc: 95.1284, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1841, s1.loss_cls: 0.0635, s1.acc: 95.3603, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0867, s2.loss_cls: 0.0328, s2.acc: 95.0667, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0406, loss: 0.9574 2022-09-14 16:16:02,867 - mmdet - INFO - Epoch [21][5600/7330] lr: 1.000e-04, eta: 1 day, 18:34:24, time: 1.401, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1727, s0.loss_cls: 0.1331, s0.acc: 95.2563, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1774, s1.loss_cls: 0.0634, s1.acc: 95.4770, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0842, s2.loss_cls: 0.0317, s2.acc: 95.3499, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0400, loss: 0.9565 2022-09-14 16:17:11,673 - mmdet - INFO - Epoch [21][5650/7330] lr: 1.000e-04, eta: 1 day, 18:33:16, time: 1.376, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1705, s0.loss_cls: 0.1363, s0.acc: 95.0452, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1902, s1.loss_cls: 0.0647, s1.acc: 95.2914, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0910, s2.loss_cls: 0.0331, s2.acc: 95.0008, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0432, loss: 0.9900 2022-09-14 16:18:19,723 - mmdet - INFO - Epoch [21][5700/7330] lr: 1.000e-04, eta: 1 day, 18:32:07, time: 1.361, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1721, s0.loss_cls: 0.1281, s0.acc: 95.4441, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1836, s1.loss_cls: 0.0610, s1.acc: 95.6949, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0877, s2.loss_cls: 0.0315, s2.acc: 95.4392, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0418, loss: 0.9492 2022-09-14 16:19:27,760 - mmdet - INFO - Epoch [21][5750/7330] lr: 1.000e-04, eta: 1 day, 18:30:58, time: 1.361, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1275, s0.acc: 95.3171, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1877, s1.loss_cls: 0.0608, s1.acc: 95.4852, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0887, s2.loss_cls: 0.0313, s2.acc: 95.2617, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0420, loss: 0.9622 2022-09-14 16:20:35,375 - mmdet - INFO - Epoch [21][5800/7330] lr: 1.000e-04, eta: 1 day, 18:29:49, time: 1.353, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1293, s0.acc: 95.3228, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1904, s1.loss_cls: 0.0616, s1.acc: 95.6022, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0898, s2.loss_cls: 0.0316, s2.acc: 95.3882, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0421, loss: 0.9719 2022-09-14 16:21:44,306 - mmdet - INFO - Epoch [21][5850/7330] lr: 1.000e-04, eta: 1 day, 18:28:40, time: 1.379, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1657, s0.loss_cls: 0.1373, s0.acc: 94.9126, s0.loss_bbox: 0.0756, s0.loss_mask: 0.1908, s1.loss_cls: 0.0657, s1.acc: 95.0691, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0900, s2.loss_cls: 0.0339, s2.acc: 94.8604, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0422, loss: 0.9915 2022-09-14 16:22:53,016 - mmdet - INFO - Epoch [21][5900/7330] lr: 1.000e-04, eta: 1 day, 18:27:32, time: 1.374, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1253, s0.acc: 95.3965, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1845, s1.loss_cls: 0.0597, s1.acc: 95.6079, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0875, s2.loss_cls: 0.0305, s2.acc: 95.4684, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0414, loss: 0.9428 2022-09-14 16:24:01,115 - mmdet - INFO - Epoch [21][5950/7330] lr: 1.000e-04, eta: 1 day, 18:26:23, time: 1.362, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1701, s0.loss_cls: 0.1311, s0.acc: 95.2769, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1879, s1.loss_cls: 0.0636, s1.acc: 95.4337, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0879, s2.loss_cls: 0.0325, s2.acc: 95.2201, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0414, loss: 0.9650 2022-09-14 16:25:13,654 - mmdet - INFO - Epoch [21][6000/7330] lr: 1.000e-04, eta: 1 day, 18:25:17, time: 1.451, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1583, s0.loss_cls: 0.1237, s0.acc: 95.4553, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1853, s1.loss_cls: 0.0595, s1.acc: 95.6400, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0879, s2.loss_cls: 0.0305, s2.acc: 95.4398, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0416, loss: 0.9328 2022-09-14 16:26:21,292 - mmdet - INFO - Epoch [21][6050/7330] lr: 1.000e-04, eta: 1 day, 18:24:08, time: 1.352, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1719, s0.loss_cls: 0.1312, s0.acc: 95.1689, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1863, s1.loss_cls: 0.0632, s1.acc: 95.3808, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0885, s2.loss_cls: 0.0323, s2.acc: 95.1551, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0420, loss: 0.9658 2022-09-14 16:27:29,814 - mmdet - INFO - Epoch [21][6100/7330] lr: 1.000e-04, eta: 1 day, 18:22:59, time: 1.371, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1269, s0.acc: 95.3931, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1818, s1.loss_cls: 0.0601, s1.acc: 95.5802, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0865, s2.loss_cls: 0.0313, s2.acc: 95.3794, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0411, loss: 0.9412 2022-09-14 16:28:38,023 - mmdet - INFO - Epoch [21][6150/7330] lr: 1.000e-04, eta: 1 day, 18:21:50, time: 1.364, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1717, s0.loss_cls: 0.1332, s0.acc: 95.2119, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1829, s1.loss_cls: 0.0638, s1.acc: 95.4510, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0869, s2.loss_cls: 0.0328, s2.acc: 95.2615, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0413, loss: 0.9633 2022-09-14 16:29:46,594 - mmdet - INFO - Epoch [21][6200/7330] lr: 1.000e-04, eta: 1 day, 18:20:41, time: 1.371, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1360, s0.acc: 95.0300, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1911, s1.loss_cls: 0.0650, s1.acc: 95.2092, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0909, s2.loss_cls: 0.0332, s2.acc: 95.0068, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0431, loss: 0.9844 2022-09-14 16:30:56,089 - mmdet - INFO - Epoch [21][6250/7330] lr: 1.000e-04, eta: 1 day, 18:19:33, time: 1.390, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1256, s0.acc: 95.4460, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1884, s1.loss_cls: 0.0599, s1.acc: 95.6803, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0887, s2.loss_cls: 0.0308, s2.acc: 95.4348, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0417, loss: 0.9553 2022-09-14 16:32:04,252 - mmdet - INFO - Epoch [21][6300/7330] lr: 1.000e-04, eta: 1 day, 18:18:24, time: 1.363, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1732, s0.loss_cls: 0.1309, s0.acc: 95.1775, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1861, s1.loss_cls: 0.0622, s1.acc: 95.3980, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0870, s2.loss_cls: 0.0318, s2.acc: 95.2112, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0411, loss: 0.9673 2022-09-14 16:33:12,077 - mmdet - INFO - Epoch [21][6350/7330] lr: 1.000e-04, eta: 1 day, 18:17:15, time: 1.357, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1717, s0.loss_cls: 0.1297, s0.acc: 95.2556, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1887, s1.loss_cls: 0.0623, s1.acc: 95.5025, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0891, s2.loss_cls: 0.0328, s2.acc: 95.1331, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0421, loss: 0.9760 2022-09-14 16:34:19,978 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 16:34:20,064 - mmdet - INFO - Epoch [21][6400/7330] lr: 1.000e-04, eta: 1 day, 18:16:06, time: 1.358, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1703, s0.loss_cls: 0.1350, s0.acc: 95.0554, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1885, s1.loss_cls: 0.0649, s1.acc: 95.2624, s1.loss_bbox: 0.0879, s1.loss_mask: 0.0895, s2.loss_cls: 0.0333, s2.acc: 94.9835, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0424, loss: 0.9911 2022-09-14 16:35:27,758 - mmdet - INFO - Epoch [21][6450/7330] lr: 1.000e-04, eta: 1 day, 18:14:57, time: 1.356, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1724, s0.loss_cls: 0.1323, s0.acc: 95.1494, s0.loss_bbox: 0.0737, s0.loss_mask: 0.1887, s1.loss_cls: 0.0640, s1.acc: 95.3530, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0885, s2.loss_cls: 0.0326, s2.acc: 95.1489, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0417, loss: 0.9792 2022-09-14 16:36:36,385 - mmdet - INFO - Epoch [21][6500/7330] lr: 1.000e-04, eta: 1 day, 18:13:48, time: 1.373, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1300, s0.acc: 95.2722, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1891, s1.loss_cls: 0.0632, s1.acc: 95.4110, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0901, s2.loss_cls: 0.0325, s2.acc: 95.1925, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0427, loss: 0.9635 2022-09-14 16:37:45,027 - mmdet - INFO - Epoch [21][6550/7330] lr: 1.000e-04, eta: 1 day, 18:12:40, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1330, s0.acc: 95.0564, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1933, s1.loss_cls: 0.0641, s1.acc: 95.2370, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0914, s2.loss_cls: 0.0325, s2.acc: 95.0258, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0437, loss: 0.9809 2022-09-14 16:38:55,517 - mmdet - INFO - Epoch [21][6600/7330] lr: 1.000e-04, eta: 1 day, 18:11:32, time: 1.410, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1754, s0.loss_cls: 0.1271, s0.acc: 95.3442, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1877, s1.loss_cls: 0.0612, s1.acc: 95.5047, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0895, s2.loss_cls: 0.0311, s2.acc: 95.4280, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0425, loss: 0.9674 2022-09-14 16:40:03,961 - mmdet - INFO - Epoch [21][6650/7330] lr: 1.000e-04, eta: 1 day, 18:10:24, time: 1.369, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0287, loss_semantic_seg: 0.1719, s0.loss_cls: 0.1397, s0.acc: 94.9172, s0.loss_bbox: 0.0777, s0.loss_mask: 0.1917, s1.loss_cls: 0.0665, s1.acc: 95.1471, s1.loss_bbox: 0.0875, s1.loss_mask: 0.0901, s2.loss_cls: 0.0342, s2.acc: 94.9669, s2.loss_bbox: 0.0571, s2.loss_mask: 0.0426, loss: 1.0079 2022-09-14 16:41:12,299 - mmdet - INFO - Epoch [21][6700/7330] lr: 1.000e-04, eta: 1 day, 18:09:15, time: 1.367, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1256, s0.acc: 95.4348, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1815, s1.loss_cls: 0.0606, s1.acc: 95.5839, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0861, s2.loss_cls: 0.0312, s2.acc: 95.4430, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0407, loss: 0.9341 2022-09-14 16:42:21,510 - mmdet - INFO - Epoch [21][6750/7330] lr: 1.000e-04, eta: 1 day, 18:08:07, time: 1.384, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1729, s0.loss_cls: 0.1303, s0.acc: 95.2041, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1871, s1.loss_cls: 0.0616, s1.acc: 95.4042, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0882, s2.loss_cls: 0.0321, s2.acc: 95.2025, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0420, loss: 0.9705 2022-09-14 16:43:30,668 - mmdet - INFO - Epoch [21][6800/7330] lr: 1.000e-04, eta: 1 day, 18:06:58, time: 1.383, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1286, s0.acc: 95.3218, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1804, s1.loss_cls: 0.0614, s1.acc: 95.5285, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0853, s2.loss_cls: 0.0315, s2.acc: 95.3091, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0404, loss: 0.9494 2022-09-14 16:44:40,841 - mmdet - INFO - Epoch [21][6850/7330] lr: 1.000e-04, eta: 1 day, 18:05:51, time: 1.403, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1286, s0.acc: 95.2622, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1863, s1.loss_cls: 0.0612, s1.acc: 95.5855, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0883, s2.loss_cls: 0.0318, s2.acc: 95.3289, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0420, loss: 0.9524 2022-09-14 16:45:49,238 - mmdet - INFO - Epoch [21][6900/7330] lr: 1.000e-04, eta: 1 day, 18:04:42, time: 1.368, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1606, s0.loss_cls: 0.1313, s0.acc: 95.2727, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1800, s1.loss_cls: 0.0622, s1.acc: 95.4906, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0857, s2.loss_cls: 0.0320, s2.acc: 95.2772, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0404, loss: 0.9430 2022-09-14 16:46:59,201 - mmdet - INFO - Epoch [21][6950/7330] lr: 1.000e-04, eta: 1 day, 18:03:34, time: 1.399, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1373, s0.acc: 95.1189, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1877, s1.loss_cls: 0.0648, s1.acc: 95.4086, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0886, s2.loss_cls: 0.0335, s2.acc: 95.1327, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0421, loss: 0.9896 2022-09-14 16:48:09,464 - mmdet - INFO - Epoch [21][7000/7330] lr: 1.000e-04, eta: 1 day, 18:02:27, time: 1.406, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1741, s0.loss_cls: 0.1289, s0.acc: 95.3989, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1827, s1.loss_cls: 0.0610, s1.acc: 95.6354, s1.loss_bbox: 0.0778, s1.loss_mask: 0.0868, s2.loss_cls: 0.0313, s2.acc: 95.4115, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0409, loss: 0.9492 2022-09-14 16:49:19,172 - mmdet - INFO - Epoch [21][7050/7330] lr: 1.000e-04, eta: 1 day, 18:01:19, time: 1.392, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1305, s0.acc: 95.4023, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1854, s1.loss_cls: 0.0625, s1.acc: 95.5411, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0877, s2.loss_cls: 0.0318, s2.acc: 95.3104, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0417, loss: 0.9609 2022-09-14 16:50:26,982 - mmdet - INFO - Epoch [21][7100/7330] lr: 1.000e-04, eta: 1 day, 18:00:10, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1334, s0.acc: 95.2866, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1824, s1.loss_cls: 0.0637, s1.acc: 95.4558, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0869, s2.loss_cls: 0.0321, s2.acc: 95.2596, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0410, loss: 0.9642 2022-09-14 16:51:35,484 - mmdet - INFO - Epoch [21][7150/7330] lr: 1.000e-04, eta: 1 day, 17:59:01, time: 1.369, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1717, s0.loss_cls: 0.1355, s0.acc: 95.0457, s0.loss_bbox: 0.0774, s0.loss_mask: 0.1907, s1.loss_cls: 0.0651, s1.acc: 95.2546, s1.loss_bbox: 0.0876, s1.loss_mask: 0.0899, s2.loss_cls: 0.0335, s2.acc: 94.9494, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0424, loss: 0.9983 2022-09-14 16:52:44,960 - mmdet - INFO - Epoch [21][7200/7330] lr: 1.000e-04, eta: 1 day, 17:57:53, time: 1.390, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1732, s0.loss_cls: 0.1334, s0.acc: 95.1438, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1883, s1.loss_cls: 0.0635, s1.acc: 95.3477, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0888, s2.loss_cls: 0.0329, s2.acc: 95.1524, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0420, loss: 0.9780 2022-09-14 16:53:54,716 - mmdet - INFO - Epoch [21][7250/7330] lr: 1.000e-04, eta: 1 day, 17:56:45, time: 1.395, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1701, s0.loss_cls: 0.1331, s0.acc: 95.0845, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1888, s1.loss_cls: 0.0640, s1.acc: 95.2520, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0893, s2.loss_cls: 0.0328, s2.acc: 95.0360, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0420, loss: 0.9724 2022-09-14 16:55:03,818 - mmdet - INFO - Epoch [21][7300/7330] lr: 1.000e-04, eta: 1 day, 17:55:37, time: 1.381, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1276, s0.acc: 95.3101, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1871, s1.loss_cls: 0.0611, s1.acc: 95.5154, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0881, s2.loss_cls: 0.0314, s2.acc: 95.3081, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0423, loss: 0.9588 2022-09-14 16:55:54,039 - mmdet - INFO - Saving checkpoint at 21 epochs 2022-09-14 16:59:41,561 - mmdet - INFO - Evaluating bbox... 2022-09-14 17:00:39,828 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.564 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.754 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.626 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.434 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.604 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.693 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.733 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.733 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.733 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.772 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.861 2022-09-14 17:00:39,829 - mmdet - INFO - Evaluating segm... 2022-09-14 17:01:49,645 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.492 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.732 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.538 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.324 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.526 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.672 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.489 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.675 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.785 2022-09-14 17:01:50,836 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 17:01:50,839 - mmdet - INFO - Epoch(val) [21][313] bbox_mAP: 0.5640, bbox_mAP_50: 0.7540, bbox_mAP_75: 0.6260, bbox_mAP_s: 0.4340, bbox_mAP_m: 0.6040, bbox_mAP_l: 0.6930, bbox_mAP_copypaste: 0.564 0.754 0.626 0.434 0.604 0.693, segm_mAP: 0.4920, segm_mAP_50: 0.7320, segm_mAP_75: 0.5380, segm_mAP_s: 0.3240, segm_mAP_m: 0.5260, segm_mAP_l: 0.6720, segm_mAP_copypaste: 0.492 0.732 0.538 0.324 0.526 0.672 2022-09-14 17:05:46,904 - mmdet - INFO - Epoch [22][50/7330] lr: 1.000e-04, eta: 1 day, 17:55:17, time: 4.720, data_time: 3.312, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1588, s0.loss_cls: 0.1243, s0.acc: 95.4666, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1824, s1.loss_cls: 0.0591, s1.acc: 95.6690, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0861, s2.loss_cls: 0.0311, s2.acc: 95.2736, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0406, loss: 0.9282 2022-09-14 17:06:57,887 - mmdet - INFO - Epoch [22][100/7330] lr: 1.000e-04, eta: 1 day, 17:54:10, time: 1.420, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1592, s0.loss_cls: 0.1278, s0.acc: 95.2676, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1862, s1.loss_cls: 0.0606, s1.acc: 95.4848, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0889, s2.loss_cls: 0.0316, s2.acc: 95.2536, s2.loss_bbox: 0.0582, s2.loss_mask: 0.0425, loss: 0.9569 2022-09-14 17:08:07,135 - mmdet - INFO - Epoch [22][150/7330] lr: 1.000e-04, eta: 1 day, 17:53:02, time: 1.382, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1273, s0.acc: 95.2969, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1872, s1.loss_cls: 0.0609, s1.acc: 95.5240, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0888, s2.loss_cls: 0.0315, s2.acc: 95.2392, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0419, loss: 0.9671 2022-09-14 17:09:16,779 - mmdet - INFO - Epoch [22][200/7330] lr: 1.000e-04, eta: 1 day, 17:51:54, time: 1.396, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1285, s0.acc: 95.3320, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1854, s1.loss_cls: 0.0611, s1.acc: 95.6223, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0879, s2.loss_cls: 0.0308, s2.acc: 95.3879, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0416, loss: 0.9580 2022-09-14 17:10:25,750 - mmdet - INFO - Epoch [22][250/7330] lr: 1.000e-04, eta: 1 day, 17:50:46, time: 1.379, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1272, s0.acc: 95.2559, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1831, s1.loss_cls: 0.0604, s1.acc: 95.5231, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0856, s2.loss_cls: 0.0309, s2.acc: 95.3033, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0407, loss: 0.9481 2022-09-14 17:11:34,227 - mmdet - INFO - Epoch [22][300/7330] lr: 1.000e-04, eta: 1 day, 17:49:37, time: 1.370, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1267, s0.acc: 95.3206, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1822, s1.loss_cls: 0.0604, s1.acc: 95.5063, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0869, s2.loss_cls: 0.0309, s2.acc: 95.2904, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0411, loss: 0.9452 2022-09-14 17:12:44,127 - mmdet - INFO - Epoch [22][350/7330] lr: 1.000e-04, eta: 1 day, 17:48:29, time: 1.398, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1718, s0.loss_cls: 0.1199, s0.acc: 95.6167, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1770, s1.loss_cls: 0.0575, s1.acc: 95.8621, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0835, s2.loss_cls: 0.0300, s2.acc: 95.5785, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0395, loss: 0.9139 2022-09-14 17:13:52,837 - mmdet - INFO - Epoch [22][400/7330] lr: 1.000e-04, eta: 1 day, 17:47:21, time: 1.374, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1699, s0.loss_cls: 0.1248, s0.acc: 95.4045, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1808, s1.loss_cls: 0.0590, s1.acc: 95.6677, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0861, s2.loss_cls: 0.0307, s2.acc: 95.3969, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0409, loss: 0.9427 2022-09-14 17:15:01,424 - mmdet - INFO - Epoch [22][450/7330] lr: 1.000e-04, eta: 1 day, 17:46:12, time: 1.370, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1598, s0.loss_cls: 0.1244, s0.acc: 95.5422, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1851, s1.loss_cls: 0.0594, s1.acc: 95.7162, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0875, s2.loss_cls: 0.0306, s2.acc: 95.5347, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0415, loss: 0.9299 2022-09-14 17:16:09,374 - mmdet - INFO - Epoch [22][500/7330] lr: 1.000e-04, eta: 1 day, 17:45:03, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1610, s0.loss_cls: 0.1172, s0.acc: 95.6594, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1825, s1.loss_cls: 0.0553, s1.acc: 95.9275, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0863, s2.loss_cls: 0.0279, s2.acc: 95.8044, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0410, loss: 0.9121 2022-09-14 17:17:16,910 - mmdet - INFO - Epoch [22][550/7330] lr: 1.000e-04, eta: 1 day, 17:43:53, time: 1.352, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1299, s0.acc: 95.3320, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1889, s1.loss_cls: 0.0615, s1.acc: 95.5782, s1.loss_bbox: 0.0864, s1.loss_mask: 0.0897, s2.loss_cls: 0.0317, s2.acc: 95.2979, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0425, loss: 0.9729 2022-09-14 17:18:26,286 - mmdet - INFO - Epoch [22][600/7330] lr: 1.000e-04, eta: 1 day, 17:42:45, time: 1.388, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1640, s0.loss_cls: 0.1268, s0.acc: 95.3604, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1803, s1.loss_cls: 0.0608, s1.acc: 95.5380, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0860, s2.loss_cls: 0.0314, s2.acc: 95.3123, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0408, loss: 0.9326 2022-09-14 17:19:35,568 - mmdet - INFO - Epoch [22][650/7330] lr: 1.000e-04, eta: 1 day, 17:41:37, time: 1.385, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1657, s0.loss_cls: 0.1288, s0.acc: 95.2202, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1864, s1.loss_cls: 0.0611, s1.acc: 95.4613, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0885, s2.loss_cls: 0.0316, s2.acc: 95.1388, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0421, loss: 0.9598 2022-09-14 17:20:44,351 - mmdet - INFO - Epoch [22][700/7330] lr: 1.000e-04, eta: 1 day, 17:40:28, time: 1.376, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1315, s0.acc: 95.0652, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1926, s1.loss_cls: 0.0642, s1.acc: 95.1773, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0909, s2.loss_cls: 0.0335, s2.acc: 94.9233, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0431, loss: 0.9811 2022-09-14 17:21:53,341 - mmdet - INFO - Epoch [22][750/7330] lr: 1.000e-04, eta: 1 day, 17:39:20, time: 1.380, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1199, s0.acc: 95.5681, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1760, s1.loss_cls: 0.0561, s1.acc: 95.8859, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0832, s2.loss_cls: 0.0290, s2.acc: 95.6797, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0398, loss: 0.9097 2022-09-14 17:23:01,302 - mmdet - INFO - Epoch [22][800/7330] lr: 1.000e-04, eta: 1 day, 17:38:11, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1642, s0.loss_cls: 0.1209, s0.acc: 95.4617, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1863, s1.loss_cls: 0.0581, s1.acc: 95.6997, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0892, s2.loss_cls: 0.0303, s2.acc: 95.4410, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0418, loss: 0.9408 2022-09-14 17:24:09,812 - mmdet - INFO - Epoch [22][850/7330] lr: 1.000e-04, eta: 1 day, 17:37:02, time: 1.370, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1565, s0.loss_cls: 0.1262, s0.acc: 95.3340, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1819, s1.loss_cls: 0.0600, s1.acc: 95.6373, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0866, s2.loss_cls: 0.0306, s2.acc: 95.4215, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0414, loss: 0.9327 2022-09-14 17:25:18,998 - mmdet - INFO - Epoch [22][900/7330] lr: 1.000e-04, eta: 1 day, 17:35:54, time: 1.384, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1637, s0.loss_cls: 0.1304, s0.acc: 95.2566, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1874, s1.loss_cls: 0.0612, s1.acc: 95.4998, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0885, s2.loss_cls: 0.0316, s2.acc: 95.2480, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0419, loss: 0.9569 2022-09-14 17:26:27,342 - mmdet - INFO - Epoch [22][950/7330] lr: 1.000e-04, eta: 1 day, 17:34:45, time: 1.367, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1579, s0.loss_cls: 0.1200, s0.acc: 95.5303, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1817, s1.loss_cls: 0.0565, s1.acc: 95.8135, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0863, s2.loss_cls: 0.0291, s2.acc: 95.6606, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0405, loss: 0.9204 2022-09-14 17:27:36,825 - mmdet - INFO - Epoch [22][1000/7330] lr: 1.000e-04, eta: 1 day, 17:33:37, time: 1.390, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1640, s0.loss_cls: 0.1304, s0.acc: 95.2180, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1893, s1.loss_cls: 0.0607, s1.acc: 95.5768, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0899, s2.loss_cls: 0.0315, s2.acc: 95.2367, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0425, loss: 0.9706 2022-09-14 17:28:45,404 - mmdet - INFO - Epoch [22][1050/7330] lr: 1.000e-04, eta: 1 day, 17:32:28, time: 1.372, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1283, s0.acc: 95.3296, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1852, s1.loss_cls: 0.0614, s1.acc: 95.4742, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0877, s2.loss_cls: 0.0313, s2.acc: 95.3433, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0417, loss: 0.9451 2022-09-14 17:29:53,843 - mmdet - INFO - Epoch [22][1100/7330] lr: 1.000e-04, eta: 1 day, 17:31:19, time: 1.369, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1690, s0.loss_cls: 0.1350, s0.acc: 95.1531, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1812, s1.loss_cls: 0.0636, s1.acc: 95.4336, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0860, s2.loss_cls: 0.0329, s2.acc: 95.2433, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0409, loss: 0.9658 2022-09-14 17:31:02,662 - mmdet - INFO - Epoch [22][1150/7330] lr: 1.000e-04, eta: 1 day, 17:30:10, time: 1.376, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1618, s0.loss_cls: 0.1260, s0.acc: 95.3313, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1833, s1.loss_cls: 0.0604, s1.acc: 95.5763, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0871, s2.loss_cls: 0.0307, s2.acc: 95.4669, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0412, loss: 0.9363 2022-09-14 17:32:11,364 - mmdet - INFO - Epoch [22][1200/7330] lr: 1.000e-04, eta: 1 day, 17:29:02, time: 1.374, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1718, s0.loss_cls: 0.1314, s0.acc: 95.1841, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1910, s1.loss_cls: 0.0629, s1.acc: 95.4032, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0899, s2.loss_cls: 0.0326, s2.acc: 95.1454, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0424, loss: 0.9786 2022-09-14 17:33:20,149 - mmdet - INFO - Epoch [22][1250/7330] lr: 1.000e-04, eta: 1 day, 17:27:53, time: 1.376, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1178, s0.acc: 95.6243, s0.loss_bbox: 0.0638, s0.loss_mask: 0.1754, s1.loss_cls: 0.0570, s1.acc: 95.7857, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0835, s2.loss_cls: 0.0294, s2.acc: 95.6237, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0394, loss: 0.8974 2022-09-14 17:34:29,939 - mmdet - INFO - Epoch [22][1300/7330] lr: 1.000e-04, eta: 1 day, 17:26:45, time: 1.396, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1244, s0.acc: 95.3987, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1853, s1.loss_cls: 0.0592, s1.acc: 95.6414, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0877, s2.loss_cls: 0.0309, s2.acc: 95.3370, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0415, loss: 0.9569 2022-09-14 17:35:38,080 - mmdet - INFO - Epoch [22][1350/7330] lr: 1.000e-04, eta: 1 day, 17:25:36, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1632, s0.loss_cls: 0.1340, s0.acc: 95.1580, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1881, s1.loss_cls: 0.0635, s1.acc: 95.3492, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0893, s2.loss_cls: 0.0327, s2.acc: 95.1747, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0425, loss: 0.9687 2022-09-14 17:36:48,071 - mmdet - INFO - Epoch [22][1400/7330] lr: 1.000e-04, eta: 1 day, 17:24:29, time: 1.400, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1637, s0.loss_cls: 0.1243, s0.acc: 95.4661, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1834, s1.loss_cls: 0.0585, s1.acc: 95.7276, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0868, s2.loss_cls: 0.0302, s2.acc: 95.4861, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0410, loss: 0.9318 2022-09-14 17:37:56,520 - mmdet - INFO - Epoch [22][1450/7330] lr: 1.000e-04, eta: 1 day, 17:23:20, time: 1.369, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1268, s0.acc: 95.3291, s0.loss_bbox: 0.0736, s0.loss_mask: 0.1868, s1.loss_cls: 0.0593, s1.acc: 95.6299, s1.loss_bbox: 0.0877, s1.loss_mask: 0.0880, s2.loss_cls: 0.0309, s2.acc: 95.2914, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0416, loss: 0.9595 2022-09-14 17:39:05,027 - mmdet - INFO - Epoch [22][1500/7330] lr: 1.000e-04, eta: 1 day, 17:22:11, time: 1.370, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1638, s0.loss_cls: 0.1216, s0.acc: 95.5063, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1795, s1.loss_cls: 0.0568, s1.acc: 95.8239, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0852, s2.loss_cls: 0.0290, s2.acc: 95.6003, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0405, loss: 0.9197 2022-09-14 17:40:13,472 - mmdet - INFO - Epoch [22][1550/7330] lr: 1.000e-04, eta: 1 day, 17:21:02, time: 1.369, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1264, s0.acc: 95.3489, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1854, s1.loss_cls: 0.0607, s1.acc: 95.4682, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0874, s2.loss_cls: 0.0314, s2.acc: 95.1984, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0413, loss: 0.9458 2022-09-14 17:41:22,054 - mmdet - INFO - Epoch [22][1600/7330] lr: 1.000e-04, eta: 1 day, 17:19:53, time: 1.372, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1306, s0.acc: 95.3066, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1821, s1.loss_cls: 0.0619, s1.acc: 95.4747, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0862, s2.loss_cls: 0.0319, s2.acc: 95.2545, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0411, loss: 0.9498 2022-09-14 17:42:31,178 - mmdet - INFO - Epoch [22][1650/7330] lr: 1.000e-04, eta: 1 day, 17:18:45, time: 1.381, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1273, s0.acc: 95.2666, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1859, s1.loss_cls: 0.0607, s1.acc: 95.5958, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0872, s2.loss_cls: 0.0312, s2.acc: 95.3398, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0412, loss: 0.9533 2022-09-14 17:43:40,601 - mmdet - INFO - Epoch [22][1700/7330] lr: 1.000e-04, eta: 1 day, 17:17:37, time: 1.388, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1659, s0.loss_cls: 0.1317, s0.acc: 95.1948, s0.loss_bbox: 0.0714, s0.loss_mask: 0.1820, s1.loss_cls: 0.0628, s1.acc: 95.4724, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0864, s2.loss_cls: 0.0321, s2.acc: 95.3019, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0412, loss: 0.9526 2022-09-14 17:44:49,578 - mmdet - INFO - Epoch [22][1750/7330] lr: 1.000e-04, eta: 1 day, 17:16:29, time: 1.382, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1663, s0.loss_cls: 0.1289, s0.acc: 95.2400, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1887, s1.loss_cls: 0.0607, s1.acc: 95.5324, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0894, s2.loss_cls: 0.0315, s2.acc: 95.2545, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0423, loss: 0.9675 2022-09-14 17:45:57,711 - mmdet - INFO - Epoch [22][1800/7330] lr: 1.000e-04, eta: 1 day, 17:15:20, time: 1.363, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1541, s0.loss_cls: 0.1255, s0.acc: 95.3677, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1827, s1.loss_cls: 0.0602, s1.acc: 95.6131, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0868, s2.loss_cls: 0.0314, s2.acc: 95.3567, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0411, loss: 0.9260 2022-09-14 17:47:06,177 - mmdet - INFO - Epoch [22][1850/7330] lr: 1.000e-04, eta: 1 day, 17:14:11, time: 1.369, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1250, s0.acc: 95.4758, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1862, s1.loss_cls: 0.0587, s1.acc: 95.7206, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0883, s2.loss_cls: 0.0297, s2.acc: 95.6838, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0419, loss: 0.9431 2022-09-14 17:48:14,994 - mmdet - INFO - Epoch [22][1900/7330] lr: 1.000e-04, eta: 1 day, 17:13:02, time: 1.375, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1631, s0.loss_cls: 0.1264, s0.acc: 95.2773, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1843, s1.loss_cls: 0.0603, s1.acc: 95.4936, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0865, s2.loss_cls: 0.0306, s2.acc: 95.3762, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0412, loss: 0.9447 2022-09-14 17:49:22,640 - mmdet - INFO - Epoch [22][1950/7330] lr: 1.000e-04, eta: 1 day, 17:11:53, time: 1.354, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1206, s0.acc: 95.6328, s0.loss_bbox: 0.0644, s0.loss_mask: 0.1808, s1.loss_cls: 0.0577, s1.acc: 95.8314, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0860, s2.loss_cls: 0.0300, s2.acc: 95.5178, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0411, loss: 0.9137 2022-09-14 17:50:30,785 - mmdet - INFO - Epoch [22][2000/7330] lr: 1.000e-04, eta: 1 day, 17:10:44, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1654, s0.loss_cls: 0.1307, s0.acc: 95.2732, s0.loss_bbox: 0.0746, s0.loss_mask: 0.1857, s1.loss_cls: 0.0622, s1.acc: 95.5665, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0870, s2.loss_cls: 0.0320, s2.acc: 95.2973, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0413, loss: 0.9668 2022-09-14 17:51:39,672 - mmdet - INFO - Epoch [22][2050/7330] lr: 1.000e-04, eta: 1 day, 17:09:35, time: 1.378, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1262, s0.acc: 95.3816, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1865, s1.loss_cls: 0.0599, s1.acc: 95.6640, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0886, s2.loss_cls: 0.0312, s2.acc: 95.4455, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0417, loss: 0.9588 2022-09-14 17:52:48,713 - mmdet - INFO - Epoch [22][2100/7330] lr: 1.000e-04, eta: 1 day, 17:08:27, time: 1.381, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1625, s0.loss_cls: 0.1241, s0.acc: 95.3933, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1843, s1.loss_cls: 0.0590, s1.acc: 95.5868, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0867, s2.loss_cls: 0.0307, s2.acc: 95.3748, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0411, loss: 0.9375 2022-09-14 17:53:57,247 - mmdet - INFO - Epoch [22][2150/7330] lr: 1.000e-04, eta: 1 day, 17:07:18, time: 1.371, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1273, s0.acc: 95.3608, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1839, s1.loss_cls: 0.0603, s1.acc: 95.6468, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0868, s2.loss_cls: 0.0308, s2.acc: 95.4338, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0409, loss: 0.9523 2022-09-14 17:55:05,921 - mmdet - INFO - Epoch [22][2200/7330] lr: 1.000e-04, eta: 1 day, 17:06:09, time: 1.373, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1638, s0.loss_cls: 0.1216, s0.acc: 95.5371, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1821, s1.loss_cls: 0.0580, s1.acc: 95.7367, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0864, s2.loss_cls: 0.0300, s2.acc: 95.5269, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0409, loss: 0.9268 2022-09-14 17:56:15,102 - mmdet - INFO - Epoch [22][2250/7330] lr: 1.000e-04, eta: 1 day, 17:05:01, time: 1.384, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1775, s0.loss_cls: 0.1287, s0.acc: 95.3904, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1880, s1.loss_cls: 0.0614, s1.acc: 95.6170, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0888, s2.loss_cls: 0.0313, s2.acc: 95.4717, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0417, loss: 0.9659 2022-09-14 17:57:23,431 - mmdet - INFO - Epoch [22][2300/7330] lr: 1.000e-04, eta: 1 day, 17:03:52, time: 1.367, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1283, s0.acc: 95.2891, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1812, s1.loss_cls: 0.0606, s1.acc: 95.5546, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0862, s2.loss_cls: 0.0315, s2.acc: 95.3457, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0405, loss: 0.9470 2022-09-14 17:58:31,294 - mmdet - INFO - Epoch [22][2350/7330] lr: 1.000e-04, eta: 1 day, 17:02:43, time: 1.357, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1220, s0.acc: 95.4827, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1851, s1.loss_cls: 0.0577, s1.acc: 95.7543, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0878, s2.loss_cls: 0.0300, s2.acc: 95.4506, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0414, loss: 0.9379 2022-09-14 17:59:39,333 - mmdet - INFO - Epoch [22][2400/7330] lr: 1.000e-04, eta: 1 day, 17:01:34, time: 1.361, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1241, s0.acc: 95.4663, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1775, s1.loss_cls: 0.0594, s1.acc: 95.6623, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0837, s2.loss_cls: 0.0308, s2.acc: 95.5032, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0401, loss: 0.9202 2022-09-14 18:00:54,539 - mmdet - INFO - Epoch [22][2450/7330] lr: 1.000e-04, eta: 1 day, 17:00:30, time: 1.504, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1587, s0.loss_cls: 0.1280, s0.acc: 95.3677, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1861, s1.loss_cls: 0.0616, s1.acc: 95.6087, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0891, s2.loss_cls: 0.0314, s2.acc: 95.4453, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0423, loss: 0.9515 2022-09-14 18:02:02,266 - mmdet - INFO - Epoch [22][2500/7330] lr: 1.000e-04, eta: 1 day, 16:59:20, time: 1.353, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1580, s0.loss_cls: 0.1205, s0.acc: 95.4980, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1872, s1.loss_cls: 0.0567, s1.acc: 95.8223, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0892, s2.loss_cls: 0.0294, s2.acc: 95.6337, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0425, loss: 0.9296 2022-09-14 18:03:10,544 - mmdet - INFO - Epoch [22][2550/7330] lr: 1.000e-04, eta: 1 day, 16:58:12, time: 1.367, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1654, s0.loss_cls: 0.1212, s0.acc: 95.5854, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1839, s1.loss_cls: 0.0579, s1.acc: 95.7599, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0876, s2.loss_cls: 0.0298, s2.acc: 95.6149, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0418, loss: 0.9279 2022-09-14 18:04:18,401 - mmdet - INFO - Epoch [22][2600/7330] lr: 1.000e-04, eta: 1 day, 16:57:02, time: 1.357, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1616, s0.loss_cls: 0.1134, s0.acc: 95.8347, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1811, s1.loss_cls: 0.0530, s1.acc: 96.1298, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0865, s2.loss_cls: 0.0275, s2.acc: 95.8745, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0415, loss: 0.9019 2022-09-14 18:05:27,705 - mmdet - INFO - Epoch [22][2650/7330] lr: 1.000e-04, eta: 1 day, 16:55:54, time: 1.386, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1244, s0.acc: 95.4185, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1839, s1.loss_cls: 0.0589, s1.acc: 95.5378, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0871, s2.loss_cls: 0.0306, s2.acc: 95.2954, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0411, loss: 0.9512 2022-09-14 18:06:36,940 - mmdet - INFO - Epoch [22][2700/7330] lr: 1.000e-04, eta: 1 day, 16:54:46, time: 1.384, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1238, s0.acc: 95.4944, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1851, s1.loss_cls: 0.0587, s1.acc: 95.7437, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0881, s2.loss_cls: 0.0302, s2.acc: 95.4744, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0413, loss: 0.9443 2022-09-14 18:07:44,640 - mmdet - INFO - Epoch [22][2750/7330] lr: 1.000e-04, eta: 1 day, 16:53:36, time: 1.355, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1267, s0.acc: 95.3218, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1893, s1.loss_cls: 0.0613, s1.acc: 95.4013, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0904, s2.loss_cls: 0.0318, s2.acc: 95.1508, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0428, loss: 0.9617 2022-09-14 18:08:51,800 - mmdet - INFO - Epoch [22][2800/7330] lr: 1.000e-04, eta: 1 day, 16:52:27, time: 1.343, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1602, s0.loss_cls: 0.1247, s0.acc: 95.4724, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1791, s1.loss_cls: 0.0586, s1.acc: 95.7430, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0852, s2.loss_cls: 0.0306, s2.acc: 95.4359, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0406, loss: 0.9204 2022-09-14 18:10:00,096 - mmdet - INFO - Epoch [22][2850/7330] lr: 1.000e-04, eta: 1 day, 16:51:18, time: 1.366, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1357, s0.acc: 95.0593, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1902, s1.loss_cls: 0.0650, s1.acc: 95.2132, s1.loss_bbox: 0.0851, s1.loss_mask: 0.0892, s2.loss_cls: 0.0330, s2.acc: 95.0428, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0420, loss: 0.9861 2022-09-14 18:11:07,987 - mmdet - INFO - Epoch [22][2900/7330] lr: 1.000e-04, eta: 1 day, 16:50:09, time: 1.358, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1718, s0.loss_cls: 0.1310, s0.acc: 95.2407, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1883, s1.loss_cls: 0.0620, s1.acc: 95.5199, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0889, s2.loss_cls: 0.0314, s2.acc: 95.2863, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0420, loss: 0.9753 2022-09-14 18:12:15,645 - mmdet - INFO - Epoch [22][2950/7330] lr: 1.000e-04, eta: 1 day, 16:48:59, time: 1.353, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1687, s0.loss_cls: 0.1233, s0.acc: 95.4126, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1819, s1.loss_cls: 0.0588, s1.acc: 95.6444, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0860, s2.loss_cls: 0.0303, s2.acc: 95.4777, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0408, loss: 0.9414 2022-09-14 18:13:24,562 - mmdet - INFO - Epoch [22][3000/7330] lr: 1.000e-04, eta: 1 day, 16:47:51, time: 1.378, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1264, s0.acc: 95.4014, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1838, s1.loss_cls: 0.0606, s1.acc: 95.6096, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0870, s2.loss_cls: 0.0315, s2.acc: 95.3222, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0414, loss: 0.9483 2022-09-14 18:14:32,462 - mmdet - INFO - Epoch [22][3050/7330] lr: 1.000e-04, eta: 1 day, 16:46:42, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1633, s0.loss_cls: 0.1270, s0.acc: 95.2864, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1852, s1.loss_cls: 0.0614, s1.acc: 95.4684, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0872, s2.loss_cls: 0.0315, s2.acc: 95.2315, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0413, loss: 0.9516 2022-09-14 18:15:40,613 - mmdet - INFO - Epoch [22][3100/7330] lr: 1.000e-04, eta: 1 day, 16:45:33, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1248, s0.acc: 95.3816, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1854, s1.loss_cls: 0.0598, s1.acc: 95.5977, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0884, s2.loss_cls: 0.0314, s2.acc: 95.2769, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0418, loss: 0.9422 2022-09-14 18:16:49,359 - mmdet - INFO - Epoch [22][3150/7330] lr: 1.000e-04, eta: 1 day, 16:44:24, time: 1.375, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1796, s0.loss_cls: 0.1275, s0.acc: 95.3860, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1893, s1.loss_cls: 0.0610, s1.acc: 95.6010, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0900, s2.loss_cls: 0.0317, s2.acc: 95.3168, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0426, loss: 0.9729 2022-09-14 18:17:57,887 - mmdet - INFO - Epoch [22][3200/7330] lr: 1.000e-04, eta: 1 day, 16:43:15, time: 1.370, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1243, s0.acc: 95.4565, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1882, s1.loss_cls: 0.0590, s1.acc: 95.7412, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0891, s2.loss_cls: 0.0304, s2.acc: 95.5019, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0422, loss: 0.9418 2022-09-14 18:19:05,588 - mmdet - INFO - Epoch [22][3250/7330] lr: 1.000e-04, eta: 1 day, 16:42:06, time: 1.354, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1192, s0.acc: 95.6987, s0.loss_bbox: 0.0663, s0.loss_mask: 0.1833, s1.loss_cls: 0.0557, s1.acc: 95.9780, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0866, s2.loss_cls: 0.0286, s2.acc: 95.8488, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0409, loss: 0.9175 2022-09-14 18:20:13,808 - mmdet - INFO - Epoch [22][3300/7330] lr: 1.000e-04, eta: 1 day, 16:40:57, time: 1.364, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1257, s0.acc: 95.4453, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1872, s1.loss_cls: 0.0611, s1.acc: 95.6094, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0885, s2.loss_cls: 0.0313, s2.acc: 95.4205, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0421, loss: 0.9509 2022-09-14 18:21:21,884 - mmdet - INFO - Epoch [22][3350/7330] lr: 1.000e-04, eta: 1 day, 16:39:48, time: 1.360, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1598, s0.loss_cls: 0.1266, s0.acc: 95.3816, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1856, s1.loss_cls: 0.0607, s1.acc: 95.6360, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0884, s2.loss_cls: 0.0309, s2.acc: 95.4486, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0418, loss: 0.9460 2022-09-14 18:22:30,082 - mmdet - INFO - Epoch [22][3400/7330] lr: 1.000e-04, eta: 1 day, 16:38:39, time: 1.366, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1285, s0.acc: 95.3225, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1842, s1.loss_cls: 0.0611, s1.acc: 95.5278, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0862, s2.loss_cls: 0.0311, s2.acc: 95.3405, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0406, loss: 0.9468 2022-09-14 18:23:38,604 - mmdet - INFO - Epoch [22][3450/7330] lr: 1.000e-04, eta: 1 day, 16:37:30, time: 1.370, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1284, s0.acc: 95.3152, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1824, s1.loss_cls: 0.0617, s1.acc: 95.5004, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0861, s2.loss_cls: 0.0313, s2.acc: 95.3084, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0408, loss: 0.9532 2022-09-14 18:24:48,233 - mmdet - INFO - Epoch [22][3500/7330] lr: 1.000e-04, eta: 1 day, 16:36:22, time: 1.393, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1758, s0.loss_cls: 0.1313, s0.acc: 95.2046, s0.loss_bbox: 0.0745, s0.loss_mask: 0.1881, s1.loss_cls: 0.0616, s1.acc: 95.5830, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0893, s2.loss_cls: 0.0314, s2.acc: 95.3553, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0424, loss: 0.9806 2022-09-14 18:25:57,678 - mmdet - INFO - Epoch [22][3550/7330] lr: 1.000e-04, eta: 1 day, 16:35:14, time: 1.387, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1288, s0.acc: 95.2632, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1842, s1.loss_cls: 0.0606, s1.acc: 95.5364, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0877, s2.loss_cls: 0.0311, s2.acc: 95.3514, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0414, loss: 0.9484 2022-09-14 18:27:05,685 - mmdet - INFO - Epoch [22][3600/7330] lr: 1.000e-04, eta: 1 day, 16:34:05, time: 1.362, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1245, s0.acc: 95.4377, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1832, s1.loss_cls: 0.0596, s1.acc: 95.6499, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0862, s2.loss_cls: 0.0303, s2.acc: 95.5398, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0410, loss: 0.9421 2022-09-14 18:28:13,628 - mmdet - INFO - Epoch [22][3650/7330] lr: 1.000e-04, eta: 1 day, 16:32:56, time: 1.359, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1275, s0.acc: 95.3467, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1891, s1.loss_cls: 0.0611, s1.acc: 95.5656, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0891, s2.loss_cls: 0.0306, s2.acc: 95.5200, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0422, loss: 0.9543 2022-09-14 18:29:22,485 - mmdet - INFO - Epoch [22][3700/7330] lr: 1.000e-04, eta: 1 day, 16:31:47, time: 1.377, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1586, s0.loss_cls: 0.1215, s0.acc: 95.4214, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1865, s1.loss_cls: 0.0583, s1.acc: 95.6764, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0877, s2.loss_cls: 0.0296, s2.acc: 95.5665, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0416, loss: 0.9316 2022-09-14 18:30:31,150 - mmdet - INFO - Epoch [22][3750/7330] lr: 1.000e-04, eta: 1 day, 16:30:39, time: 1.373, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1654, s0.loss_cls: 0.1282, s0.acc: 95.2502, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1894, s1.loss_cls: 0.0599, s1.acc: 95.6240, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0896, s2.loss_cls: 0.0311, s2.acc: 95.3974, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0423, loss: 0.9614 2022-09-14 18:31:39,562 - mmdet - INFO - Epoch [22][3800/7330] lr: 1.000e-04, eta: 1 day, 16:29:30, time: 1.368, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1728, s0.loss_cls: 0.1241, s0.acc: 95.4639, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1796, s1.loss_cls: 0.0593, s1.acc: 95.6896, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0850, s2.loss_cls: 0.0304, s2.acc: 95.4577, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0404, loss: 0.9327 2022-09-14 18:32:47,451 - mmdet - INFO - Epoch [22][3850/7330] lr: 1.000e-04, eta: 1 day, 16:28:21, time: 1.358, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1715, s0.loss_cls: 0.1287, s0.acc: 95.2666, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1830, s1.loss_cls: 0.0614, s1.acc: 95.5242, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0865, s2.loss_cls: 0.0312, s2.acc: 95.2944, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0413, loss: 0.9557 2022-09-14 18:33:56,585 - mmdet - INFO - Epoch [22][3900/7330] lr: 1.000e-04, eta: 1 day, 16:27:12, time: 1.383, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1605, s0.loss_cls: 0.1259, s0.acc: 95.3818, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1783, s1.loss_cls: 0.0599, s1.acc: 95.5799, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0842, s2.loss_cls: 0.0305, s2.acc: 95.4174, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0399, loss: 0.9326 2022-09-14 18:35:05,187 - mmdet - INFO - Epoch [22][3950/7330] lr: 1.000e-04, eta: 1 day, 16:26:04, time: 1.372, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1192, s0.acc: 95.5801, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1829, s1.loss_cls: 0.0560, s1.acc: 95.8709, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0868, s2.loss_cls: 0.0290, s2.acc: 95.6600, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0414, loss: 0.9168 2022-09-14 18:36:14,150 - mmdet - INFO - Epoch [22][4000/7330] lr: 1.000e-04, eta: 1 day, 16:24:55, time: 1.379, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1721, s0.loss_cls: 0.1303, s0.acc: 95.1733, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1863, s1.loss_cls: 0.0625, s1.acc: 95.3811, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0877, s2.loss_cls: 0.0321, s2.acc: 95.1758, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0415, loss: 0.9739 2022-09-14 18:37:23,364 - mmdet - INFO - Epoch [22][4050/7330] lr: 1.000e-04, eta: 1 day, 16:23:47, time: 1.384, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0273, loss_semantic_seg: 0.1576, s0.loss_cls: 0.1308, s0.acc: 95.2190, s0.loss_bbox: 0.0744, s0.loss_mask: 0.1845, s1.loss_cls: 0.0628, s1.acc: 95.4637, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0871, s2.loss_cls: 0.0323, s2.acc: 95.2580, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0413, loss: 0.9598 2022-09-14 18:38:31,893 - mmdet - INFO - Epoch [22][4100/7330] lr: 1.000e-04, eta: 1 day, 16:22:38, time: 1.371, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1287, s0.acc: 95.3083, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1823, s1.loss_cls: 0.0613, s1.acc: 95.5673, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0865, s2.loss_cls: 0.0312, s2.acc: 95.3840, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0410, loss: 0.9506 2022-09-14 18:39:40,348 - mmdet - INFO - Epoch [22][4150/7330] lr: 1.000e-04, eta: 1 day, 16:21:29, time: 1.369, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1577, s0.loss_cls: 0.1252, s0.acc: 95.3638, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1827, s1.loss_cls: 0.0584, s1.acc: 95.6848, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0872, s2.loss_cls: 0.0301, s2.acc: 95.4764, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0412, loss: 0.9248 2022-09-14 18:40:48,321 - mmdet - INFO - Epoch [22][4200/7330] lr: 1.000e-04, eta: 1 day, 16:20:20, time: 1.360, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1340, s0.acc: 95.0166, s0.loss_bbox: 0.0763, s0.loss_mask: 0.1949, s1.loss_cls: 0.0644, s1.acc: 95.2554, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0924, s2.loss_cls: 0.0325, s2.acc: 95.1463, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0439, loss: 0.9991 2022-09-14 18:41:56,876 - mmdet - INFO - Epoch [22][4250/7330] lr: 1.000e-04, eta: 1 day, 16:19:11, time: 1.371, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1353, s0.acc: 95.0374, s0.loss_bbox: 0.0762, s0.loss_mask: 0.1960, s1.loss_cls: 0.0650, s1.acc: 95.2628, s1.loss_bbox: 0.0891, s1.loss_mask: 0.0929, s2.loss_cls: 0.0338, s2.acc: 94.9598, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0437, loss: 1.0079 2022-09-14 18:43:05,917 - mmdet - INFO - Epoch [22][4300/7330] lr: 1.000e-04, eta: 1 day, 16:18:03, time: 1.381, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1252, s0.acc: 95.3403, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1869, s1.loss_cls: 0.0596, s1.acc: 95.5950, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0887, s2.loss_cls: 0.0309, s2.acc: 95.3102, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0421, loss: 0.9568 2022-09-14 18:44:13,524 - mmdet - INFO - Epoch [22][4350/7330] lr: 1.000e-04, eta: 1 day, 16:16:54, time: 1.352, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1690, s0.loss_cls: 0.1293, s0.acc: 95.3433, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1844, s1.loss_cls: 0.0616, s1.acc: 95.5571, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0870, s2.loss_cls: 0.0314, s2.acc: 95.4539, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0412, loss: 0.9489 2022-09-14 18:45:22,692 - mmdet - INFO - Epoch [22][4400/7330] lr: 1.000e-04, eta: 1 day, 16:15:45, time: 1.383, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1250, s0.acc: 95.3896, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1860, s1.loss_cls: 0.0600, s1.acc: 95.5905, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0878, s2.loss_cls: 0.0307, s2.acc: 95.4134, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0410, loss: 0.9480 2022-09-14 18:46:30,834 - mmdet - INFO - Epoch [22][4450/7330] lr: 1.000e-04, eta: 1 day, 16:14:36, time: 1.361, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1277, s0.acc: 95.3403, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1886, s1.loss_cls: 0.0605, s1.acc: 95.6016, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0895, s2.loss_cls: 0.0308, s2.acc: 95.3462, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0424, loss: 0.9557 2022-09-14 18:47:39,076 - mmdet - INFO - Epoch [22][4500/7330] lr: 1.000e-04, eta: 1 day, 16:13:27, time: 1.367, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1705, s0.loss_cls: 0.1303, s0.acc: 95.2830, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1878, s1.loss_cls: 0.0630, s1.acc: 95.4195, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0886, s2.loss_cls: 0.0325, s2.acc: 95.2086, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0412, loss: 0.9676 2022-09-14 18:48:47,076 - mmdet - INFO - Epoch [22][4550/7330] lr: 1.000e-04, eta: 1 day, 16:12:18, time: 1.360, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1591, s0.loss_cls: 0.1215, s0.acc: 95.6123, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1814, s1.loss_cls: 0.0579, s1.acc: 95.8014, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0858, s2.loss_cls: 0.0295, s2.acc: 95.6842, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0408, loss: 0.9165 2022-09-14 18:49:55,199 - mmdet - INFO - Epoch [22][4600/7330] lr: 1.000e-04, eta: 1 day, 16:11:09, time: 1.362, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1626, s0.loss_cls: 0.1181, s0.acc: 95.6340, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1852, s1.loss_cls: 0.0560, s1.acc: 95.9135, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0887, s2.loss_cls: 0.0289, s2.acc: 95.7579, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0423, loss: 0.9221 2022-09-14 18:51:03,464 - mmdet - INFO - Epoch [22][4650/7330] lr: 1.000e-04, eta: 1 day, 16:10:00, time: 1.365, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1700, s0.loss_cls: 0.1237, s0.acc: 95.3706, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1855, s1.loss_cls: 0.0589, s1.acc: 95.5911, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0878, s2.loss_cls: 0.0303, s2.acc: 95.4150, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0418, loss: 0.9451 2022-09-14 18:52:10,928 - mmdet - INFO - Epoch [22][4700/7330] lr: 1.000e-04, eta: 1 day, 16:08:51, time: 1.349, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1710, s0.loss_cls: 0.1255, s0.acc: 95.3503, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1865, s1.loss_cls: 0.0593, s1.acc: 95.5812, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0881, s2.loss_cls: 0.0305, s2.acc: 95.4835, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0415, loss: 0.9492 2022-09-14 18:53:20,640 - mmdet - INFO - Epoch [22][4750/7330] lr: 1.000e-04, eta: 1 day, 16:07:43, time: 1.394, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1275, s0.acc: 95.3528, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1879, s1.loss_cls: 0.0597, s1.acc: 95.6408, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0887, s2.loss_cls: 0.0306, s2.acc: 95.4116, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0418, loss: 0.9571 2022-09-14 18:54:28,431 - mmdet - INFO - Epoch [22][4800/7330] lr: 1.000e-04, eta: 1 day, 16:06:34, time: 1.356, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1721, s0.loss_cls: 0.1278, s0.acc: 95.2969, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1872, s1.loss_cls: 0.0611, s1.acc: 95.4616, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0885, s2.loss_cls: 0.0318, s2.acc: 95.2258, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0420, loss: 0.9607 2022-09-14 18:55:36,891 - mmdet - INFO - Epoch [22][4850/7330] lr: 1.000e-04, eta: 1 day, 16:05:25, time: 1.369, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1698, s0.loss_cls: 0.1304, s0.acc: 95.2935, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1932, s1.loss_cls: 0.0626, s1.acc: 95.5371, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0911, s2.loss_cls: 0.0323, s2.acc: 95.1836, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0432, loss: 0.9723 2022-09-14 18:56:45,816 - mmdet - INFO - Epoch [22][4900/7330] lr: 1.000e-04, eta: 1 day, 16:04:16, time: 1.377, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1277, s0.acc: 95.3254, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1880, s1.loss_cls: 0.0599, s1.acc: 95.5477, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0886, s2.loss_cls: 0.0310, s2.acc: 95.2746, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0419, loss: 0.9589 2022-09-14 18:57:54,710 - mmdet - INFO - Epoch [22][4950/7330] lr: 1.000e-04, eta: 1 day, 16:03:08, time: 1.379, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1664, s0.loss_cls: 0.1234, s0.acc: 95.4451, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1827, s1.loss_cls: 0.0592, s1.acc: 95.6697, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0867, s2.loss_cls: 0.0294, s2.acc: 95.6561, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0413, loss: 0.9276 2022-09-14 18:59:02,966 - mmdet - INFO - Epoch [22][5000/7330] lr: 1.000e-04, eta: 1 day, 16:01:59, time: 1.366, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1273, s0.acc: 95.2683, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1866, s1.loss_cls: 0.0613, s1.acc: 95.4266, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0881, s2.loss_cls: 0.0320, s2.acc: 95.1691, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0414, loss: 0.9454 2022-09-14 19:00:11,109 - mmdet - INFO - Epoch [22][5050/7330] lr: 1.000e-04, eta: 1 day, 16:00:50, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1735, s0.loss_cls: 0.1326, s0.acc: 95.1760, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1918, s1.loss_cls: 0.0624, s1.acc: 95.4521, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0903, s2.loss_cls: 0.0319, s2.acc: 95.2829, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0428, loss: 0.9823 2022-09-14 19:01:19,703 - mmdet - INFO - Epoch [22][5100/7330] lr: 1.000e-04, eta: 1 day, 15:59:41, time: 1.372, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1644, s0.loss_cls: 0.1220, s0.acc: 95.5120, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1869, s1.loss_cls: 0.0574, s1.acc: 95.8038, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0881, s2.loss_cls: 0.0294, s2.acc: 95.6168, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0416, loss: 0.9393 2022-09-14 19:02:28,646 - mmdet - INFO - Epoch [22][5150/7330] lr: 1.000e-04, eta: 1 day, 15:58:33, time: 1.379, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1219, s0.acc: 95.5276, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1875, s1.loss_cls: 0.0579, s1.acc: 95.7614, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0888, s2.loss_cls: 0.0294, s2.acc: 95.5912, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0421, loss: 0.9376 2022-09-14 19:03:37,404 - mmdet - INFO - Epoch [22][5200/7330] lr: 1.000e-04, eta: 1 day, 15:57:24, time: 1.375, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1716, s0.loss_cls: 0.1233, s0.acc: 95.4600, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1882, s1.loss_cls: 0.0577, s1.acc: 95.7337, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0888, s2.loss_cls: 0.0297, s2.acc: 95.4841, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0421, loss: 0.9536 2022-09-14 19:04:45,802 - mmdet - INFO - Epoch [22][5250/7330] lr: 1.000e-04, eta: 1 day, 15:56:15, time: 1.368, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1198, s0.acc: 95.6306, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1881, s1.loss_cls: 0.0565, s1.acc: 95.9834, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0898, s2.loss_cls: 0.0295, s2.acc: 95.6504, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0428, loss: 0.9341 2022-09-14 19:05:53,830 - mmdet - INFO - Epoch [22][5300/7330] lr: 1.000e-04, eta: 1 day, 15:55:06, time: 1.361, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1664, s0.loss_cls: 0.1217, s0.acc: 95.5269, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1834, s1.loss_cls: 0.0569, s1.acc: 95.7892, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0873, s2.loss_cls: 0.0292, s2.acc: 95.5317, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0414, loss: 0.9327 2022-09-14 19:07:02,821 - mmdet - INFO - Epoch [22][5350/7330] lr: 1.000e-04, eta: 1 day, 15:53:58, time: 1.380, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1233, s0.acc: 95.4316, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1822, s1.loss_cls: 0.0586, s1.acc: 95.6363, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0862, s2.loss_cls: 0.0305, s2.acc: 95.4000, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0409, loss: 0.9353 2022-09-14 19:08:10,834 - mmdet - INFO - Epoch [22][5400/7330] lr: 1.000e-04, eta: 1 day, 15:52:49, time: 1.360, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1227, s0.acc: 95.5308, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1848, s1.loss_cls: 0.0593, s1.acc: 95.7209, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0873, s2.loss_cls: 0.0300, s2.acc: 95.5810, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0411, loss: 0.9366 2022-09-14 19:09:19,240 - mmdet - INFO - Epoch [22][5450/7330] lr: 1.000e-04, eta: 1 day, 15:51:40, time: 1.368, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1666, s0.loss_cls: 0.1300, s0.acc: 95.2896, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1861, s1.loss_cls: 0.0627, s1.acc: 95.4255, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0877, s2.loss_cls: 0.0320, s2.acc: 95.3419, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0420, loss: 0.9614 2022-09-14 19:10:28,247 - mmdet - INFO - Epoch [22][5500/7330] lr: 1.000e-04, eta: 1 day, 15:50:31, time: 1.380, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1141, s0.acc: 95.7927, s0.loss_bbox: 0.0638, s0.loss_mask: 0.1798, s1.loss_cls: 0.0534, s1.acc: 96.0080, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0852, s2.loss_cls: 0.0279, s2.acc: 95.7424, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0402, loss: 0.8940 2022-09-14 19:11:36,347 - mmdet - INFO - Epoch [22][5550/7330] lr: 1.000e-04, eta: 1 day, 15:49:22, time: 1.362, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1644, s0.loss_cls: 0.1239, s0.acc: 95.4932, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1790, s1.loss_cls: 0.0584, s1.acc: 95.7001, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0852, s2.loss_cls: 0.0302, s2.acc: 95.4814, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0402, loss: 0.9337 2022-09-14 19:12:45,944 - mmdet - INFO - Epoch [22][5600/7330] lr: 1.000e-04, eta: 1 day, 15:48:14, time: 1.392, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1682, s0.loss_cls: 0.1249, s0.acc: 95.3770, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1880, s1.loss_cls: 0.0600, s1.acc: 95.5982, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0888, s2.loss_cls: 0.0313, s2.acc: 95.3083, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0420, loss: 0.9546 2022-09-14 19:13:53,848 - mmdet - INFO - Epoch [22][5650/7330] lr: 1.000e-04, eta: 1 day, 15:47:05, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1728, s0.loss_cls: 0.1290, s0.acc: 95.3374, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1875, s1.loss_cls: 0.0608, s1.acc: 95.6113, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0881, s2.loss_cls: 0.0318, s2.acc: 95.3456, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0415, loss: 0.9648 2022-09-14 19:15:04,186 - mmdet - INFO - Epoch [22][5700/7330] lr: 1.000e-04, eta: 1 day, 15:45:58, time: 1.407, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1252, s0.acc: 95.3909, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1858, s1.loss_cls: 0.0602, s1.acc: 95.5935, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0880, s2.loss_cls: 0.0310, s2.acc: 95.3845, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0417, loss: 0.9597 2022-09-14 19:16:12,249 - mmdet - INFO - Epoch [22][5750/7330] lr: 1.000e-04, eta: 1 day, 15:44:49, time: 1.360, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1237, s0.acc: 95.4817, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1850, s1.loss_cls: 0.0596, s1.acc: 95.6409, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0871, s2.loss_cls: 0.0305, s2.acc: 95.5285, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0411, loss: 0.9365 2022-09-14 19:17:20,736 - mmdet - INFO - Epoch [22][5800/7330] lr: 1.000e-04, eta: 1 day, 15:43:40, time: 1.371, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1303, s0.acc: 95.2439, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1878, s1.loss_cls: 0.0624, s1.acc: 95.4418, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0889, s2.loss_cls: 0.0319, s2.acc: 95.2839, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0422, loss: 0.9618 2022-09-14 19:18:29,705 - mmdet - INFO - Epoch [22][5850/7330] lr: 1.000e-04, eta: 1 day, 15:42:31, time: 1.379, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1666, s0.loss_cls: 0.1261, s0.acc: 95.4788, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1832, s1.loss_cls: 0.0597, s1.acc: 95.7220, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0863, s2.loss_cls: 0.0310, s2.acc: 95.4924, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0404, loss: 0.9356 2022-09-14 19:19:37,500 - mmdet - INFO - Epoch [22][5900/7330] lr: 1.000e-04, eta: 1 day, 15:41:22, time: 1.356, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1654, s0.loss_cls: 0.1300, s0.acc: 95.2563, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1873, s1.loss_cls: 0.0624, s1.acc: 95.4479, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0894, s2.loss_cls: 0.0321, s2.acc: 95.1835, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0422, loss: 0.9633 2022-09-14 19:20:45,138 - mmdet - INFO - Epoch [22][5950/7330] lr: 1.000e-04, eta: 1 day, 15:40:13, time: 1.353, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1235, s0.acc: 95.4141, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1867, s1.loss_cls: 0.0594, s1.acc: 95.5714, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0881, s2.loss_cls: 0.0309, s2.acc: 95.3070, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0417, loss: 0.9511 2022-09-14 19:21:53,253 - mmdet - INFO - Epoch [22][6000/7330] lr: 1.000e-04, eta: 1 day, 15:39:04, time: 1.362, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1306, s0.acc: 95.2156, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1878, s1.loss_cls: 0.0627, s1.acc: 95.3369, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0897, s2.loss_cls: 0.0316, s2.acc: 95.2241, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0424, loss: 0.9638 2022-09-14 19:23:01,552 - mmdet - INFO - Epoch [22][6050/7330] lr: 1.000e-04, eta: 1 day, 15:37:55, time: 1.364, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1239, s0.acc: 95.5063, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1819, s1.loss_cls: 0.0586, s1.acc: 95.7650, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0863, s2.loss_cls: 0.0301, s2.acc: 95.5749, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0413, loss: 0.9300 2022-09-14 19:24:08,840 - mmdet - INFO - Epoch [22][6100/7330] lr: 1.000e-04, eta: 1 day, 15:36:45, time: 1.347, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1585, s0.loss_cls: 0.1238, s0.acc: 95.5410, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1845, s1.loss_cls: 0.0578, s1.acc: 95.8945, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0874, s2.loss_cls: 0.0304, s2.acc: 95.5938, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0411, loss: 0.9303 2022-09-14 19:25:18,364 - mmdet - INFO - Epoch [22][6150/7330] lr: 1.000e-04, eta: 1 day, 15:35:37, time: 1.391, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1268, s0.acc: 95.4395, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1862, s1.loss_cls: 0.0602, s1.acc: 95.6799, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0881, s2.loss_cls: 0.0312, s2.acc: 95.4781, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0416, loss: 0.9531 2022-09-14 19:26:27,604 - mmdet - INFO - Epoch [22][6200/7330] lr: 1.000e-04, eta: 1 day, 15:34:29, time: 1.385, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1255, s0.acc: 95.4329, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1782, s1.loss_cls: 0.0589, s1.acc: 95.6908, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0844, s2.loss_cls: 0.0309, s2.acc: 95.4557, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0399, loss: 0.9315 2022-09-14 19:27:36,315 - mmdet - INFO - Epoch [22][6250/7330] lr: 1.000e-04, eta: 1 day, 15:33:20, time: 1.374, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1308, s0.acc: 95.2539, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1861, s1.loss_cls: 0.0620, s1.acc: 95.5559, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0876, s2.loss_cls: 0.0319, s2.acc: 95.3588, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0413, loss: 0.9536 2022-09-14 19:28:45,387 - mmdet - INFO - Epoch [22][6300/7330] lr: 1.000e-04, eta: 1 day, 15:32:12, time: 1.381, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1684, s0.loss_cls: 0.1237, s0.acc: 95.5232, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1816, s1.loss_cls: 0.0594, s1.acc: 95.6962, s1.loss_bbox: 0.0771, s1.loss_mask: 0.0859, s2.loss_cls: 0.0305, s2.acc: 95.4536, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0407, loss: 0.9260 2022-09-14 19:29:54,651 - mmdet - INFO - Epoch [22][6350/7330] lr: 1.000e-04, eta: 1 day, 15:31:04, time: 1.386, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1284, s0.acc: 95.3152, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1806, s1.loss_cls: 0.0609, s1.acc: 95.5955, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0848, s2.loss_cls: 0.0312, s2.acc: 95.3315, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0403, loss: 0.9385 2022-09-14 19:31:03,942 - mmdet - INFO - Epoch [22][6400/7330] lr: 1.000e-04, eta: 1 day, 15:29:55, time: 1.384, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1577, s0.loss_cls: 0.1202, s0.acc: 95.5327, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1787, s1.loss_cls: 0.0571, s1.acc: 95.7244, s1.loss_bbox: 0.0772, s1.loss_mask: 0.0843, s2.loss_cls: 0.0294, s2.acc: 95.5503, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0403, loss: 0.9061 2022-09-14 19:32:14,096 - mmdet - INFO - Epoch [22][6450/7330] lr: 1.000e-04, eta: 1 day, 15:28:48, time: 1.405, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1705, s0.loss_cls: 0.1306, s0.acc: 95.2104, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1835, s1.loss_cls: 0.0621, s1.acc: 95.4964, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0868, s2.loss_cls: 0.0323, s2.acc: 95.1747, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0410, loss: 0.9628 2022-09-14 19:33:23,509 - mmdet - INFO - Epoch [22][6500/7330] lr: 1.000e-04, eta: 1 day, 15:27:40, time: 1.388, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1251, s0.acc: 95.4104, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1858, s1.loss_cls: 0.0594, s1.acc: 95.6086, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0881, s2.loss_cls: 0.0313, s2.acc: 95.2829, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0415, loss: 0.9477 2022-09-14 19:34:31,140 - mmdet - INFO - Epoch [22][6550/7330] lr: 1.000e-04, eta: 1 day, 15:26:30, time: 1.351, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1604, s0.loss_cls: 0.1194, s0.acc: 95.5276, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1791, s1.loss_cls: 0.0559, s1.acc: 95.7751, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0848, s2.loss_cls: 0.0293, s2.acc: 95.4792, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0400, loss: 0.9131 2022-09-14 19:35:41,273 - mmdet - INFO - Epoch [22][6600/7330] lr: 1.000e-04, eta: 1 day, 15:25:22, time: 1.404, data_time: 0.036, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1336, s0.acc: 95.1360, s0.loss_bbox: 0.0753, s0.loss_mask: 0.1880, s1.loss_cls: 0.0631, s1.acc: 95.3532, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0886, s2.loss_cls: 0.0328, s2.acc: 95.0784, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0417, loss: 0.9758 2022-09-14 19:36:49,724 - mmdet - INFO - Epoch [22][6650/7330] lr: 1.000e-04, eta: 1 day, 15:24:14, time: 1.369, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1760, s0.loss_cls: 0.1257, s0.acc: 95.3291, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1821, s1.loss_cls: 0.0601, s1.acc: 95.5424, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0859, s2.loss_cls: 0.0308, s2.acc: 95.3279, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0406, loss: 0.9470 2022-09-14 19:37:58,089 - mmdet - INFO - Epoch [22][6700/7330] lr: 1.000e-04, eta: 1 day, 15:23:05, time: 1.367, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1750, s0.loss_cls: 0.1287, s0.acc: 95.3054, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1885, s1.loss_cls: 0.0617, s1.acc: 95.4398, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0885, s2.loss_cls: 0.0316, s2.acc: 95.2708, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0416, loss: 0.9728 2022-09-14 19:39:06,287 - mmdet - INFO - Epoch [22][6750/7330] lr: 1.000e-04, eta: 1 day, 15:21:56, time: 1.364, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1222, s0.acc: 95.5979, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1852, s1.loss_cls: 0.0592, s1.acc: 95.7613, s1.loss_bbox: 0.0758, s1.loss_mask: 0.0872, s2.loss_cls: 0.0305, s2.acc: 95.5714, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0413, loss: 0.9342 2022-09-14 19:40:14,025 - mmdet - INFO - Epoch [22][6800/7330] lr: 1.000e-04, eta: 1 day, 15:20:47, time: 1.355, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1299, s0.acc: 95.2949, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1810, s1.loss_cls: 0.0626, s1.acc: 95.5149, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0857, s2.loss_cls: 0.0322, s2.acc: 95.3022, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0407, loss: 0.9552 2022-09-14 19:41:21,541 - mmdet - INFO - Epoch [22][6850/7330] lr: 1.000e-04, eta: 1 day, 15:19:37, time: 1.350, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1642, s0.loss_cls: 0.1322, s0.acc: 95.2126, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1836, s1.loss_cls: 0.0630, s1.acc: 95.4322, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0870, s2.loss_cls: 0.0325, s2.acc: 95.1648, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0414, loss: 0.9509 2022-09-14 19:42:30,736 - mmdet - INFO - Epoch [22][6900/7330] lr: 1.000e-04, eta: 1 day, 15:18:29, time: 1.384, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1665, s0.loss_cls: 0.1299, s0.acc: 95.2527, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1804, s1.loss_cls: 0.0615, s1.acc: 95.4374, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0852, s2.loss_cls: 0.0318, s2.acc: 95.2118, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0405, loss: 0.9470 2022-09-14 19:43:40,081 - mmdet - INFO - Epoch [22][6950/7330] lr: 1.000e-04, eta: 1 day, 15:17:21, time: 1.385, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1718, s0.loss_cls: 0.1266, s0.acc: 95.4600, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1806, s1.loss_cls: 0.0608, s1.acc: 95.5635, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0852, s2.loss_cls: 0.0316, s2.acc: 95.2660, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0402, loss: 0.9360 2022-09-14 19:44:48,531 - mmdet - INFO - Epoch [22][7000/7330] lr: 1.000e-04, eta: 1 day, 15:16:12, time: 1.371, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1246, s0.acc: 95.5024, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1817, s1.loss_cls: 0.0596, s1.acc: 95.6777, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0859, s2.loss_cls: 0.0309, s2.acc: 95.5291, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0407, loss: 0.9314 2022-09-14 19:45:57,896 - mmdet - INFO - Epoch [22][7050/7330] lr: 1.000e-04, eta: 1 day, 15:15:04, time: 1.387, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1683, s0.loss_cls: 0.1311, s0.acc: 95.1980, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1870, s1.loss_cls: 0.0629, s1.acc: 95.3895, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0886, s2.loss_cls: 0.0327, s2.acc: 95.1048, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0417, loss: 0.9718 2022-09-14 19:47:07,187 - mmdet - INFO - Epoch [22][7100/7330] lr: 1.000e-04, eta: 1 day, 15:13:55, time: 1.386, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1269, s0.acc: 95.3071, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1854, s1.loss_cls: 0.0608, s1.acc: 95.5139, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0881, s2.loss_cls: 0.0311, s2.acc: 95.3131, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0412, loss: 0.9564 2022-09-14 19:48:17,348 - mmdet - INFO - Epoch [22][7150/7330] lr: 1.000e-04, eta: 1 day, 15:12:48, time: 1.403, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1683, s0.loss_cls: 0.1338, s0.acc: 95.1558, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1943, s1.loss_cls: 0.0641, s1.acc: 95.4108, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0917, s2.loss_cls: 0.0325, s2.acc: 95.2058, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0428, loss: 0.9866 2022-09-14 19:49:26,735 - mmdet - INFO - Epoch [22][7200/7330] lr: 1.000e-04, eta: 1 day, 15:11:40, time: 1.387, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1329, s0.acc: 95.2361, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1860, s1.loss_cls: 0.0641, s1.acc: 95.4265, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0880, s2.loss_cls: 0.0325, s2.acc: 95.2722, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0418, loss: 0.9650 2022-09-14 19:50:35,593 - mmdet - INFO - Epoch [22][7250/7330] lr: 1.000e-04, eta: 1 day, 15:10:31, time: 1.377, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1263, s0.acc: 95.4468, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1820, s1.loss_cls: 0.0595, s1.acc: 95.6950, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0865, s2.loss_cls: 0.0308, s2.acc: 95.4204, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0409, loss: 0.9445 2022-09-14 19:51:43,302 - mmdet - INFO - Epoch [22][7300/7330] lr: 1.000e-04, eta: 1 day, 15:09:22, time: 1.354, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1253, s0.acc: 95.4419, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1826, s1.loss_cls: 0.0602, s1.acc: 95.5599, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0860, s2.loss_cls: 0.0304, s2.acc: 95.3724, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0407, loss: 0.9300 2022-09-14 19:52:34,488 - mmdet - INFO - Saving checkpoint at 22 epochs 2022-09-14 19:56:08,237 - mmdet - INFO - Evaluating bbox... 2022-09-14 19:57:09,238 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.565 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.753 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.624 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.417 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.607 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.694 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.586 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.772 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.860 2022-09-14 19:57:09,238 - mmdet - INFO - Evaluating segm... 2022-09-14 19:58:22,851 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.492 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.732 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.541 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.309 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.523 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.670 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.486 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.674 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.781 2022-09-14 19:58:24,210 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 19:58:24,212 - mmdet - INFO - Epoch(val) [22][313] bbox_mAP: 0.5650, bbox_mAP_50: 0.7530, bbox_mAP_75: 0.6240, bbox_mAP_s: 0.4170, bbox_mAP_m: 0.6070, bbox_mAP_l: 0.6940, bbox_mAP_copypaste: 0.565 0.753 0.624 0.417 0.607 0.694, segm_mAP: 0.4920, segm_mAP_50: 0.7320, segm_mAP_75: 0.5410, segm_mAP_s: 0.3090, segm_mAP_m: 0.5230, segm_mAP_l: 0.6700, segm_mAP_copypaste: 0.492 0.732 0.541 0.309 0.523 0.670 2022-09-14 20:01:52,589 - mmdet - INFO - Epoch [23][50/7330] lr: 1.000e-04, eta: 1 day, 15:08:34, time: 4.166, data_time: 2.778, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1244, s0.acc: 95.4421, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1850, s1.loss_cls: 0.0585, s1.acc: 95.7362, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0875, s2.loss_cls: 0.0303, s2.acc: 95.5906, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0416, loss: 0.9338 2022-09-14 20:03:01,552 - mmdet - INFO - Epoch [23][100/7330] lr: 1.000e-04, eta: 1 day, 15:07:26, time: 1.379, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1668, s0.loss_cls: 0.1209, s0.acc: 95.5903, s0.loss_bbox: 0.0671, s0.loss_mask: 0.1801, s1.loss_cls: 0.0577, s1.acc: 95.7988, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0848, s2.loss_cls: 0.0293, s2.acc: 95.6764, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0401, loss: 0.9168 2022-09-14 20:04:10,229 - mmdet - INFO - Epoch [23][150/7330] lr: 1.000e-04, eta: 1 day, 15:06:17, time: 1.374, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1241, s0.acc: 95.5000, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1827, s1.loss_cls: 0.0589, s1.acc: 95.7599, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0875, s2.loss_cls: 0.0301, s2.acc: 95.5549, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0417, loss: 0.9312 2022-09-14 20:05:19,329 - mmdet - INFO - Epoch [23][200/7330] lr: 1.000e-04, eta: 1 day, 15:05:09, time: 1.382, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1654, s0.loss_cls: 0.1262, s0.acc: 95.4392, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1832, s1.loss_cls: 0.0595, s1.acc: 95.7370, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0866, s2.loss_cls: 0.0307, s2.acc: 95.4362, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0412, loss: 0.9435 2022-09-14 20:06:27,507 - mmdet - INFO - Epoch [23][250/7330] lr: 1.000e-04, eta: 1 day, 15:04:00, time: 1.362, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1587, s0.loss_cls: 0.1220, s0.acc: 95.5337, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1827, s1.loss_cls: 0.0573, s1.acc: 95.7932, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0868, s2.loss_cls: 0.0298, s2.acc: 95.5629, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0410, loss: 0.9264 2022-09-14 20:07:36,327 - mmdet - INFO - Epoch [23][300/7330] lr: 1.000e-04, eta: 1 day, 15:02:51, time: 1.378, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1539, s0.loss_cls: 0.1246, s0.acc: 95.3416, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1839, s1.loss_cls: 0.0590, s1.acc: 95.6015, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0874, s2.loss_cls: 0.0304, s2.acc: 95.4145, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0416, loss: 0.9308 2022-09-14 20:08:45,242 - mmdet - INFO - Epoch [23][350/7330] lr: 1.000e-04, eta: 1 day, 15:01:43, time: 1.378, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1680, s0.loss_cls: 0.1271, s0.acc: 95.2473, s0.loss_bbox: 0.0731, s0.loss_mask: 0.1845, s1.loss_cls: 0.0605, s1.acc: 95.5314, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0869, s2.loss_cls: 0.0312, s2.acc: 95.3212, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0412, loss: 0.9570 2022-09-14 20:09:53,155 - mmdet - INFO - Epoch [23][400/7330] lr: 1.000e-04, eta: 1 day, 15:00:33, time: 1.358, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1243, s0.acc: 95.4182, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1851, s1.loss_cls: 0.0593, s1.acc: 95.6500, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0875, s2.loss_cls: 0.0308, s2.acc: 95.3547, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0413, loss: 0.9398 2022-09-14 20:11:02,014 - mmdet - INFO - Epoch [23][450/7330] lr: 1.000e-04, eta: 1 day, 14:59:25, time: 1.377, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1181, s0.acc: 95.6704, s0.loss_bbox: 0.0663, s0.loss_mask: 0.1836, s1.loss_cls: 0.0558, s1.acc: 95.9077, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0870, s2.loss_cls: 0.0292, s2.acc: 95.6042, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0412, loss: 0.9161 2022-09-14 20:12:09,853 - mmdet - INFO - Epoch [23][500/7330] lr: 1.000e-04, eta: 1 day, 14:58:16, time: 1.357, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1580, s0.loss_cls: 0.1107, s0.acc: 95.9092, s0.loss_bbox: 0.0643, s0.loss_mask: 0.1775, s1.loss_cls: 0.0517, s1.acc: 96.2375, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0841, s2.loss_cls: 0.0271, s2.acc: 96.0026, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0402, loss: 0.8799 2022-09-14 20:13:18,791 - mmdet - INFO - Epoch [23][550/7330] lr: 1.000e-04, eta: 1 day, 14:57:07, time: 1.375, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1627, s0.loss_cls: 0.1210, s0.acc: 95.4053, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1884, s1.loss_cls: 0.0574, s1.acc: 95.6544, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0889, s2.loss_cls: 0.0302, s2.acc: 95.3440, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0419, loss: 0.9435 2022-09-14 20:14:27,769 - mmdet - INFO - Epoch [23][600/7330] lr: 1.000e-04, eta: 1 day, 14:55:59, time: 1.384, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1654, s0.loss_cls: 0.1246, s0.acc: 95.3503, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1838, s1.loss_cls: 0.0592, s1.acc: 95.5469, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0872, s2.loss_cls: 0.0307, s2.acc: 95.3323, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0415, loss: 0.9386 2022-09-14 20:15:37,689 - mmdet - INFO - Epoch [23][650/7330] lr: 1.000e-04, eta: 1 day, 14:54:51, time: 1.398, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1548, s0.loss_cls: 0.1245, s0.acc: 95.4546, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1893, s1.loss_cls: 0.0598, s1.acc: 95.6156, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0894, s2.loss_cls: 0.0308, s2.acc: 95.4623, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0422, loss: 0.9404 2022-09-14 20:16:46,561 - mmdet - INFO - Epoch [23][700/7330] lr: 1.000e-04, eta: 1 day, 14:53:42, time: 1.378, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1265, s0.acc: 95.3225, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1805, s1.loss_cls: 0.0602, s1.acc: 95.6238, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0854, s2.loss_cls: 0.0309, s2.acc: 95.3624, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0407, loss: 0.9327 2022-09-14 20:17:55,054 - mmdet - INFO - Epoch [23][750/7330] lr: 1.000e-04, eta: 1 day, 14:52:33, time: 1.368, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1652, s0.loss_cls: 0.1250, s0.acc: 95.4133, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1817, s1.loss_cls: 0.0588, s1.acc: 95.6334, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0863, s2.loss_cls: 0.0305, s2.acc: 95.4741, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0406, loss: 0.9365 2022-09-14 20:19:02,467 - mmdet - INFO - Epoch [23][800/7330] lr: 1.000e-04, eta: 1 day, 14:51:24, time: 1.350, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1259, s0.acc: 95.3447, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1874, s1.loss_cls: 0.0597, s1.acc: 95.6473, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0893, s2.loss_cls: 0.0310, s2.acc: 95.3233, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0424, loss: 0.9554 2022-09-14 20:20:09,695 - mmdet - INFO - Epoch [23][850/7330] lr: 1.000e-04, eta: 1 day, 14:50:14, time: 1.344, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1251, s0.acc: 95.3972, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1817, s1.loss_cls: 0.0599, s1.acc: 95.5641, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0856, s2.loss_cls: 0.0308, s2.acc: 95.3586, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0406, loss: 0.9331 2022-09-14 20:21:18,952 - mmdet - INFO - Epoch [23][900/7330] lr: 1.000e-04, eta: 1 day, 14:49:06, time: 1.385, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1262, s0.acc: 95.4146, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1812, s1.loss_cls: 0.0605, s1.acc: 95.6542, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0860, s2.loss_cls: 0.0316, s2.acc: 95.2949, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0410, loss: 0.9305 2022-09-14 20:22:26,493 - mmdet - INFO - Epoch [23][950/7330] lr: 1.000e-04, eta: 1 day, 14:47:56, time: 1.351, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1232, s0.acc: 95.4229, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1889, s1.loss_cls: 0.0589, s1.acc: 95.6693, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0894, s2.loss_cls: 0.0305, s2.acc: 95.4319, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0422, loss: 0.9469 2022-09-14 20:23:34,955 - mmdet - INFO - Epoch [23][1000/7330] lr: 1.000e-04, eta: 1 day, 14:46:48, time: 1.369, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1581, s0.loss_cls: 0.1207, s0.acc: 95.5659, s0.loss_bbox: 0.0656, s0.loss_mask: 0.1782, s1.loss_cls: 0.0579, s1.acc: 95.7700, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0848, s2.loss_cls: 0.0294, s2.acc: 95.5808, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0402, loss: 0.9025 2022-09-14 20:24:44,625 - mmdet - INFO - Epoch [23][1050/7330] lr: 1.000e-04, eta: 1 day, 14:45:39, time: 1.393, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1657, s0.loss_cls: 0.1163, s0.acc: 95.6545, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1867, s1.loss_cls: 0.0556, s1.acc: 95.8572, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0891, s2.loss_cls: 0.0282, s2.acc: 95.6288, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0419, loss: 0.9229 2022-09-14 20:25:52,428 - mmdet - INFO - Epoch [23][1100/7330] lr: 1.000e-04, eta: 1 day, 14:44:30, time: 1.356, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1229, s0.acc: 95.3984, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1913, s1.loss_cls: 0.0578, s1.acc: 95.6678, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0904, s2.loss_cls: 0.0299, s2.acc: 95.5169, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0429, loss: 0.9588 2022-09-14 20:26:59,750 - mmdet - INFO - Epoch [23][1150/7330] lr: 1.000e-04, eta: 1 day, 14:43:21, time: 1.346, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1188, s0.acc: 95.6414, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1898, s1.loss_cls: 0.0559, s1.acc: 95.8131, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0895, s2.loss_cls: 0.0289, s2.acc: 95.5682, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0422, loss: 0.9299 2022-09-14 20:28:08,275 - mmdet - INFO - Epoch [23][1200/7330] lr: 1.000e-04, eta: 1 day, 14:42:12, time: 1.371, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1252, s0.acc: 95.3633, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1844, s1.loss_cls: 0.0588, s1.acc: 95.6734, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0880, s2.loss_cls: 0.0307, s2.acc: 95.3571, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0415, loss: 0.9459 2022-09-14 20:29:16,034 - mmdet - INFO - Epoch [23][1250/7330] lr: 1.000e-04, eta: 1 day, 14:41:03, time: 1.355, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1237, s0.acc: 95.3594, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1862, s1.loss_cls: 0.0579, s1.acc: 95.6460, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0883, s2.loss_cls: 0.0299, s2.acc: 95.3702, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0418, loss: 0.9545 2022-09-14 20:30:23,418 - mmdet - INFO - Epoch [23][1300/7330] lr: 1.000e-04, eta: 1 day, 14:39:53, time: 1.347, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1170, s0.acc: 95.6807, s0.loss_bbox: 0.0664, s0.loss_mask: 0.1780, s1.loss_cls: 0.0553, s1.acc: 96.0051, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0841, s2.loss_cls: 0.0286, s2.acc: 95.8123, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0397, loss: 0.9024 2022-09-14 20:31:32,256 - mmdet - INFO - Epoch [23][1350/7330] lr: 1.000e-04, eta: 1 day, 14:38:45, time: 1.377, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1633, s0.loss_cls: 0.1261, s0.acc: 95.3425, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1869, s1.loss_cls: 0.0602, s1.acc: 95.5881, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0892, s2.loss_cls: 0.0311, s2.acc: 95.3430, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0425, loss: 0.9493 2022-09-14 20:32:39,769 - mmdet - INFO - Epoch [23][1400/7330] lr: 1.000e-04, eta: 1 day, 14:37:35, time: 1.350, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1604, s0.loss_cls: 0.1206, s0.acc: 95.5645, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1820, s1.loss_cls: 0.0574, s1.acc: 95.7904, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0859, s2.loss_cls: 0.0294, s2.acc: 95.5962, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0407, loss: 0.9136 2022-09-14 20:33:47,654 - mmdet - INFO - Epoch [23][1450/7330] lr: 1.000e-04, eta: 1 day, 14:36:26, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1722, s0.loss_cls: 0.1237, s0.acc: 95.5261, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1853, s1.loss_cls: 0.0580, s1.acc: 95.7526, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0880, s2.loss_cls: 0.0302, s2.acc: 95.4819, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0417, loss: 0.9445 2022-09-14 20:34:56,612 - mmdet - INFO - Epoch [23][1500/7330] lr: 1.000e-04, eta: 1 day, 14:35:17, time: 1.379, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1246, s0.acc: 95.4683, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1848, s1.loss_cls: 0.0582, s1.acc: 95.7350, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0877, s2.loss_cls: 0.0301, s2.acc: 95.5176, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0414, loss: 0.9315 2022-09-14 20:36:05,869 - mmdet - INFO - Epoch [23][1550/7330] lr: 1.000e-04, eta: 1 day, 14:34:09, time: 1.385, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1669, s0.loss_cls: 0.1279, s0.acc: 95.3696, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1810, s1.loss_cls: 0.0603, s1.acc: 95.5737, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0856, s2.loss_cls: 0.0308, s2.acc: 95.3738, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0403, loss: 0.9458 2022-09-14 20:37:14,413 - mmdet - INFO - Epoch [23][1600/7330] lr: 1.000e-04, eta: 1 day, 14:33:00, time: 1.371, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1198, s0.acc: 95.6001, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1846, s1.loss_cls: 0.0583, s1.acc: 95.7496, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0871, s2.loss_cls: 0.0298, s2.acc: 95.5777, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0415, loss: 0.9284 2022-09-14 20:38:22,602 - mmdet - INFO - Epoch [23][1650/7330] lr: 1.000e-04, eta: 1 day, 14:31:51, time: 1.364, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1284, s0.acc: 95.2349, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1892, s1.loss_cls: 0.0613, s1.acc: 95.4924, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0889, s2.loss_cls: 0.0316, s2.acc: 95.2978, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0419, loss: 0.9600 2022-09-14 20:39:31,271 - mmdet - INFO - Epoch [23][1700/7330] lr: 1.000e-04, eta: 1 day, 14:30:43, time: 1.372, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1683, s0.loss_cls: 0.1250, s0.acc: 95.3660, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1853, s1.loss_cls: 0.0581, s1.acc: 95.7066, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0881, s2.loss_cls: 0.0300, s2.acc: 95.4477, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0419, loss: 0.9429 2022-09-14 20:40:40,089 - mmdet - INFO - Epoch [23][1750/7330] lr: 1.000e-04, eta: 1 day, 14:29:34, time: 1.378, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1671, s0.loss_cls: 0.1276, s0.acc: 95.3298, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1818, s1.loss_cls: 0.0608, s1.acc: 95.5328, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0856, s2.loss_cls: 0.0313, s2.acc: 95.3161, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0407, loss: 0.9460 2022-09-14 20:41:48,713 - mmdet - INFO - Epoch [23][1800/7330] lr: 1.000e-04, eta: 1 day, 14:28:25, time: 1.373, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1270, s0.acc: 95.3474, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1815, s1.loss_cls: 0.0604, s1.acc: 95.5098, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0858, s2.loss_cls: 0.0309, s2.acc: 95.3500, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0406, loss: 0.9374 2022-09-14 20:42:56,622 - mmdet - INFO - Epoch [23][1850/7330] lr: 1.000e-04, eta: 1 day, 14:27:16, time: 1.358, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1640, s0.loss_cls: 0.1207, s0.acc: 95.5112, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1826, s1.loss_cls: 0.0564, s1.acc: 95.8185, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0862, s2.loss_cls: 0.0288, s2.acc: 95.6057, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0410, loss: 0.9293 2022-09-14 20:44:05,782 - mmdet - INFO - Epoch [23][1900/7330] lr: 1.000e-04, eta: 1 day, 14:26:08, time: 1.383, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1606, s0.loss_cls: 0.1216, s0.acc: 95.5095, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1792, s1.loss_cls: 0.0585, s1.acc: 95.6120, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0851, s2.loss_cls: 0.0301, s2.acc: 95.3821, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0403, loss: 0.9215 2022-09-14 20:45:14,698 - mmdet - INFO - Epoch [23][1950/7330] lr: 1.000e-04, eta: 1 day, 14:24:59, time: 1.377, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1231, s0.acc: 95.4021, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1846, s1.loss_cls: 0.0588, s1.acc: 95.6012, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0874, s2.loss_cls: 0.0301, s2.acc: 95.3581, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0412, loss: 0.9326 2022-09-14 20:46:22,921 - mmdet - INFO - Epoch [23][2000/7330] lr: 1.000e-04, eta: 1 day, 14:23:50, time: 1.366, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1642, s0.loss_cls: 0.1306, s0.acc: 95.1455, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1873, s1.loss_cls: 0.0623, s1.acc: 95.3255, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0894, s2.loss_cls: 0.0325, s2.acc: 95.0705, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0432, loss: 0.9728 2022-09-14 20:47:31,360 - mmdet - INFO - Epoch [23][2050/7330] lr: 1.000e-04, eta: 1 day, 14:22:41, time: 1.369, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1264, s0.acc: 95.3848, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1895, s1.loss_cls: 0.0605, s1.acc: 95.5685, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0892, s2.loss_cls: 0.0311, s2.acc: 95.3938, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0421, loss: 0.9582 2022-09-14 20:48:39,828 - mmdet - INFO - Epoch [23][2100/7330] lr: 1.000e-04, eta: 1 day, 14:21:32, time: 1.369, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1314, s0.acc: 95.2153, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1836, s1.loss_cls: 0.0639, s1.acc: 95.3510, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0874, s2.loss_cls: 0.0320, s2.acc: 95.2115, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0420, loss: 0.9557 2022-09-14 20:49:48,295 - mmdet - INFO - Epoch [23][2150/7330] lr: 1.000e-04, eta: 1 day, 14:20:24, time: 1.369, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1240, s0.acc: 95.4568, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1832, s1.loss_cls: 0.0591, s1.acc: 95.7048, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0870, s2.loss_cls: 0.0305, s2.acc: 95.4566, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0413, loss: 0.9392 2022-09-14 20:50:55,792 - mmdet - INFO - Epoch [23][2200/7330] lr: 1.000e-04, eta: 1 day, 14:19:14, time: 1.350, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1215, s0.acc: 95.5603, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1808, s1.loss_cls: 0.0576, s1.acc: 95.8101, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0853, s2.loss_cls: 0.0296, s2.acc: 95.5923, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0406, loss: 0.9283 2022-09-14 20:52:04,107 - mmdet - INFO - Epoch [23][2250/7330] lr: 1.000e-04, eta: 1 day, 14:18:05, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1725, s0.loss_cls: 0.1215, s0.acc: 95.5620, s0.loss_bbox: 0.0663, s0.loss_mask: 0.1766, s1.loss_cls: 0.0572, s1.acc: 95.8411, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0837, s2.loss_cls: 0.0298, s2.acc: 95.5298, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0395, loss: 0.9141 2022-09-14 20:53:13,470 - mmdet - INFO - Epoch [23][2300/7330] lr: 1.000e-04, eta: 1 day, 14:16:57, time: 1.387, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1610, s0.loss_cls: 0.1179, s0.acc: 95.6052, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1823, s1.loss_cls: 0.0569, s1.acc: 95.7308, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0869, s2.loss_cls: 0.0298, s2.acc: 95.4355, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0411, loss: 0.9201 2022-09-14 20:54:21,793 - mmdet - INFO - Epoch [23][2350/7330] lr: 1.000e-04, eta: 1 day, 14:15:48, time: 1.367, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1614, s0.loss_cls: 0.1175, s0.acc: 95.7581, s0.loss_bbox: 0.0655, s0.loss_mask: 0.1775, s1.loss_cls: 0.0560, s1.acc: 95.9595, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0839, s2.loss_cls: 0.0288, s2.acc: 95.7619, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0397, loss: 0.8951 2022-09-14 20:55:30,259 - mmdet - INFO - Epoch [23][2400/7330] lr: 1.000e-04, eta: 1 day, 14:14:39, time: 1.369, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1600, s0.loss_cls: 0.1272, s0.acc: 95.3679, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1878, s1.loss_cls: 0.0598, s1.acc: 95.5861, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0888, s2.loss_cls: 0.0309, s2.acc: 95.3569, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0423, loss: 0.9448 2022-09-14 20:56:38,554 - mmdet - INFO - Epoch [23][2450/7330] lr: 1.000e-04, eta: 1 day, 14:13:30, time: 1.364, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1664, s0.loss_cls: 0.1247, s0.acc: 95.3384, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1783, s1.loss_cls: 0.0603, s1.acc: 95.5245, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0837, s2.loss_cls: 0.0312, s2.acc: 95.2938, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0396, loss: 0.9255 2022-09-14 20:57:47,635 - mmdet - INFO - Epoch [23][2500/7330] lr: 1.000e-04, eta: 1 day, 14:12:22, time: 1.383, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1756, s0.loss_cls: 0.1265, s0.acc: 95.3333, s0.loss_bbox: 0.0740, s0.loss_mask: 0.1853, s1.loss_cls: 0.0600, s1.acc: 95.5705, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0882, s2.loss_cls: 0.0314, s2.acc: 95.3093, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0416, loss: 0.9705 2022-09-14 20:58:55,699 - mmdet - INFO - Epoch [23][2550/7330] lr: 1.000e-04, eta: 1 day, 14:11:13, time: 1.361, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1700, s0.loss_cls: 0.1258, s0.acc: 95.4368, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1869, s1.loss_cls: 0.0590, s1.acc: 95.6826, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0885, s2.loss_cls: 0.0305, s2.acc: 95.3996, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0417, loss: 0.9587 2022-09-14 21:00:04,262 - mmdet - INFO - Epoch [23][2600/7330] lr: 1.000e-04, eta: 1 day, 14:10:04, time: 1.371, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1596, s0.loss_cls: 0.1176, s0.acc: 95.6560, s0.loss_bbox: 0.0671, s0.loss_mask: 0.1846, s1.loss_cls: 0.0554, s1.acc: 95.9302, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0874, s2.loss_cls: 0.0283, s2.acc: 95.7386, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0415, loss: 0.9105 2022-09-14 21:01:13,397 - mmdet - INFO - Epoch [23][2650/7330] lr: 1.000e-04, eta: 1 day, 14:08:56, time: 1.383, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1280, s0.acc: 95.3052, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1875, s1.loss_cls: 0.0611, s1.acc: 95.4981, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0881, s2.loss_cls: 0.0316, s2.acc: 95.2344, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0417, loss: 0.9672 2022-09-14 21:02:21,624 - mmdet - INFO - Epoch [23][2700/7330] lr: 1.000e-04, eta: 1 day, 14:07:47, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1582, s0.loss_cls: 0.1201, s0.acc: 95.5657, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1812, s1.loss_cls: 0.0566, s1.acc: 95.8530, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0863, s2.loss_cls: 0.0290, s2.acc: 95.6484, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0408, loss: 0.9102 2022-09-14 21:03:29,340 - mmdet - INFO - Epoch [23][2750/7330] lr: 1.000e-04, eta: 1 day, 14:06:37, time: 1.354, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1765, s0.loss_cls: 0.1262, s0.acc: 95.5142, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1887, s1.loss_cls: 0.0602, s1.acc: 95.7554, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0894, s2.loss_cls: 0.0306, s2.acc: 95.6092, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0420, loss: 0.9604 2022-09-14 21:04:38,707 - mmdet - INFO - Epoch [23][2800/7330] lr: 1.000e-04, eta: 1 day, 14:05:29, time: 1.387, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1634, s0.loss_cls: 0.1276, s0.acc: 95.3418, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1824, s1.loss_cls: 0.0605, s1.acc: 95.5994, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0867, s2.loss_cls: 0.0313, s2.acc: 95.3371, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0406, loss: 0.9403 2022-09-14 21:05:46,746 - mmdet - INFO - Epoch [23][2850/7330] lr: 1.000e-04, eta: 1 day, 14:04:20, time: 1.361, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1208, s0.acc: 95.6030, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1854, s1.loss_cls: 0.0573, s1.acc: 95.8226, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0876, s2.loss_cls: 0.0296, s2.acc: 95.5223, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0412, loss: 0.9322 2022-09-14 21:06:55,116 - mmdet - INFO - Epoch [23][2900/7330] lr: 1.000e-04, eta: 1 day, 14:03:11, time: 1.367, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1285, s0.acc: 95.4092, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1828, s1.loss_cls: 0.0607, s1.acc: 95.7558, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0856, s2.loss_cls: 0.0310, s2.acc: 95.5404, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0404, loss: 0.9415 2022-09-14 21:08:04,124 - mmdet - INFO - Epoch [23][2950/7330] lr: 1.000e-04, eta: 1 day, 14:02:03, time: 1.380, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1277, s0.acc: 95.2805, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1857, s1.loss_cls: 0.0601, s1.acc: 95.6168, s1.loss_bbox: 0.0856, s1.loss_mask: 0.0879, s2.loss_cls: 0.0312, s2.acc: 95.2924, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0416, loss: 0.9559 2022-09-14 21:09:12,436 - mmdet - INFO - Epoch [23][3000/7330] lr: 1.000e-04, eta: 1 day, 14:00:54, time: 1.366, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1282, s0.acc: 95.2925, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1817, s1.loss_cls: 0.0605, s1.acc: 95.5657, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0861, s2.loss_cls: 0.0310, s2.acc: 95.3477, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0407, loss: 0.9423 2022-09-14 21:10:20,886 - mmdet - INFO - Epoch [23][3050/7330] lr: 1.000e-04, eta: 1 day, 13:59:45, time: 1.369, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1669, s0.loss_cls: 0.1218, s0.acc: 95.5701, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1826, s1.loss_cls: 0.0577, s1.acc: 95.8419, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0861, s2.loss_cls: 0.0294, s2.acc: 95.6578, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0410, loss: 0.9266 2022-09-14 21:11:28,479 - mmdet - INFO - Epoch [23][3100/7330] lr: 1.000e-04, eta: 1 day, 13:58:36, time: 1.352, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1191, s0.acc: 95.6360, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1814, s1.loss_cls: 0.0563, s1.acc: 95.8832, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0860, s2.loss_cls: 0.0292, s2.acc: 95.6481, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0411, loss: 0.9156 2022-09-14 21:12:36,842 - mmdet - INFO - Epoch [23][3150/7330] lr: 1.000e-04, eta: 1 day, 13:57:27, time: 1.367, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1530, s0.loss_cls: 0.1242, s0.acc: 95.4514, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1839, s1.loss_cls: 0.0591, s1.acc: 95.6775, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0878, s2.loss_cls: 0.0304, s2.acc: 95.3755, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0419, loss: 0.9228 2022-09-14 21:13:44,185 - mmdet - INFO - Epoch [23][3200/7330] lr: 1.000e-04, eta: 1 day, 13:56:17, time: 1.345, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1216, s0.acc: 95.5845, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1864, s1.loss_cls: 0.0574, s1.acc: 95.8144, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0883, s2.loss_cls: 0.0299, s2.acc: 95.5548, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0416, loss: 0.9387 2022-09-14 21:14:51,794 - mmdet - INFO - Epoch [23][3250/7330] lr: 1.000e-04, eta: 1 day, 13:55:08, time: 1.354, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1640, s0.loss_cls: 0.1309, s0.acc: 95.1599, s0.loss_bbox: 0.0743, s0.loss_mask: 0.1868, s1.loss_cls: 0.0629, s1.acc: 95.4163, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0892, s2.loss_cls: 0.0316, s2.acc: 95.1994, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0418, loss: 0.9630 2022-09-14 21:15:59,489 - mmdet - INFO - Epoch [23][3300/7330] lr: 1.000e-04, eta: 1 day, 13:53:59, time: 1.354, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1212, s0.acc: 95.5837, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1817, s1.loss_cls: 0.0576, s1.acc: 95.7491, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0871, s2.loss_cls: 0.0298, s2.acc: 95.5056, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0411, loss: 0.9229 2022-09-14 21:17:08,383 - mmdet - INFO - Epoch [23][3350/7330] lr: 1.000e-04, eta: 1 day, 13:52:50, time: 1.377, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1769, s0.loss_cls: 0.1185, s0.acc: 95.6814, s0.loss_bbox: 0.0656, s0.loss_mask: 0.1809, s1.loss_cls: 0.0557, s1.acc: 95.9805, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0860, s2.loss_cls: 0.0290, s2.acc: 95.6777, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0407, loss: 0.9231 2022-09-14 21:18:15,990 - mmdet - INFO - Epoch [23][3400/7330] lr: 1.000e-04, eta: 1 day, 13:51:41, time: 1.353, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1211, s0.acc: 95.5254, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1800, s1.loss_cls: 0.0579, s1.acc: 95.8219, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0846, s2.loss_cls: 0.0299, s2.acc: 95.5891, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0404, loss: 0.9198 2022-09-14 21:19:24,300 - mmdet - INFO - Epoch [23][3450/7330] lr: 1.000e-04, eta: 1 day, 13:50:32, time: 1.366, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1568, s0.loss_cls: 0.1226, s0.acc: 95.4268, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1799, s1.loss_cls: 0.0577, s1.acc: 95.7344, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0859, s2.loss_cls: 0.0302, s2.acc: 95.3908, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0406, loss: 0.9231 2022-09-14 21:20:32,977 - mmdet - INFO - Epoch [23][3500/7330] lr: 1.000e-04, eta: 1 day, 13:49:23, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1580, s0.loss_cls: 0.1263, s0.acc: 95.3926, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1908, s1.loss_cls: 0.0599, s1.acc: 95.6223, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0901, s2.loss_cls: 0.0307, s2.acc: 95.3484, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0427, loss: 0.9568 2022-09-14 21:21:42,265 - mmdet - INFO - Epoch [23][3550/7330] lr: 1.000e-04, eta: 1 day, 13:48:15, time: 1.386, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1612, s0.loss_cls: 0.1273, s0.acc: 95.3357, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1840, s1.loss_cls: 0.0598, s1.acc: 95.6278, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0876, s2.loss_cls: 0.0309, s2.acc: 95.4171, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0410, loss: 0.9403 2022-09-14 21:22:50,243 - mmdet - INFO - Epoch [23][3600/7330] lr: 1.000e-04, eta: 1 day, 13:47:06, time: 1.359, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1631, s0.loss_cls: 0.1164, s0.acc: 95.7134, s0.loss_bbox: 0.0655, s0.loss_mask: 0.1801, s1.loss_cls: 0.0552, s1.acc: 95.9273, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0853, s2.loss_cls: 0.0285, s2.acc: 95.7533, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0405, loss: 0.9048 2022-09-14 21:23:58,479 - mmdet - INFO - Epoch [23][3650/7330] lr: 1.000e-04, eta: 1 day, 13:45:57, time: 1.365, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1278, s0.acc: 95.3452, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1827, s1.loss_cls: 0.0608, s1.acc: 95.5982, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0868, s2.loss_cls: 0.0311, s2.acc: 95.3357, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0410, loss: 0.9548 2022-09-14 21:25:07,560 - mmdet - INFO - Epoch [23][3700/7330] lr: 1.000e-04, eta: 1 day, 13:44:48, time: 1.380, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1251, s0.acc: 95.4612, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1856, s1.loss_cls: 0.0592, s1.acc: 95.7245, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0877, s2.loss_cls: 0.0310, s2.acc: 95.5359, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0416, loss: 0.9591 2022-09-14 21:26:15,118 - mmdet - INFO - Epoch [23][3750/7330] lr: 1.000e-04, eta: 1 day, 13:43:39, time: 1.353, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1737, s0.loss_cls: 0.1328, s0.acc: 95.1162, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1910, s1.loss_cls: 0.0641, s1.acc: 95.2457, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0906, s2.loss_cls: 0.0332, s2.acc: 95.0816, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0429, loss: 0.9859 2022-09-14 21:27:22,823 - mmdet - INFO - Epoch [23][3800/7330] lr: 1.000e-04, eta: 1 day, 13:42:30, time: 1.354, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1299, s0.acc: 95.2319, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1838, s1.loss_cls: 0.0613, s1.acc: 95.4534, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0869, s2.loss_cls: 0.0314, s2.acc: 95.2664, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0408, loss: 0.9529 2022-09-14 21:28:30,489 - mmdet - INFO - Epoch [23][3850/7330] lr: 1.000e-04, eta: 1 day, 13:41:20, time: 1.353, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1252, s0.acc: 95.4509, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1825, s1.loss_cls: 0.0597, s1.acc: 95.6834, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0860, s2.loss_cls: 0.0309, s2.acc: 95.4638, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0408, loss: 0.9433 2022-09-14 21:29:40,815 - mmdet - INFO - Epoch [23][3900/7330] lr: 1.000e-04, eta: 1 day, 13:40:13, time: 1.407, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1245, s0.acc: 95.3926, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1843, s1.loss_cls: 0.0589, s1.acc: 95.6252, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0872, s2.loss_cls: 0.0305, s2.acc: 95.4195, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0415, loss: 0.9464 2022-09-14 21:30:49,071 - mmdet - INFO - Epoch [23][3950/7330] lr: 1.000e-04, eta: 1 day, 13:39:04, time: 1.365, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1631, s0.loss_cls: 0.1285, s0.acc: 95.2854, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1837, s1.loss_cls: 0.0616, s1.acc: 95.4323, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0873, s2.loss_cls: 0.0319, s2.acc: 95.1827, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0416, loss: 0.9461 2022-09-14 21:31:57,290 - mmdet - INFO - Epoch [23][4000/7330] lr: 1.000e-04, eta: 1 day, 13:37:55, time: 1.365, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1256, s0.acc: 95.4116, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1864, s1.loss_cls: 0.0588, s1.acc: 95.7674, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0885, s2.loss_cls: 0.0304, s2.acc: 95.5758, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0421, loss: 0.9533 2022-09-14 21:33:05,467 - mmdet - INFO - Epoch [23][4050/7330] lr: 1.000e-04, eta: 1 day, 13:36:46, time: 1.363, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1334, s0.acc: 95.1953, s0.loss_bbox: 0.0748, s0.loss_mask: 0.1869, s1.loss_cls: 0.0645, s1.acc: 95.3161, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0880, s2.loss_cls: 0.0331, s2.acc: 95.1669, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0416, loss: 0.9756 2022-09-14 21:34:14,264 - mmdet - INFO - Epoch [23][4100/7330] lr: 1.000e-04, eta: 1 day, 13:35:37, time: 1.376, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1230, s0.acc: 95.4382, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1838, s1.loss_cls: 0.0585, s1.acc: 95.6571, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0869, s2.loss_cls: 0.0299, s2.acc: 95.4118, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0412, loss: 0.9410 2022-09-14 21:35:21,868 - mmdet - INFO - Epoch [23][4150/7330] lr: 1.000e-04, eta: 1 day, 13:34:28, time: 1.352, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1668, s0.loss_cls: 0.1255, s0.acc: 95.3877, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1799, s1.loss_cls: 0.0592, s1.acc: 95.6549, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0857, s2.loss_cls: 0.0304, s2.acc: 95.4688, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0407, loss: 0.9337 2022-09-14 21:36:29,837 - mmdet - INFO - Epoch [23][4200/7330] lr: 1.000e-04, eta: 1 day, 13:33:19, time: 1.359, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1769, s0.loss_cls: 0.1365, s0.acc: 94.9822, s0.loss_bbox: 0.0768, s0.loss_mask: 0.1937, s1.loss_cls: 0.0656, s1.acc: 95.1768, s1.loss_bbox: 0.0869, s1.loss_mask: 0.0913, s2.loss_cls: 0.0334, s2.acc: 94.9795, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0428, loss: 1.0059 2022-09-14 21:37:37,826 - mmdet - INFO - Epoch [23][4250/7330] lr: 1.000e-04, eta: 1 day, 13:32:09, time: 1.360, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1301, s0.acc: 95.1328, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1856, s1.loss_cls: 0.0625, s1.acc: 95.3601, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0875, s2.loss_cls: 0.0324, s2.acc: 95.0464, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0415, loss: 0.9518 2022-09-14 21:38:46,395 - mmdet - INFO - Epoch [23][4300/7330] lr: 1.000e-04, eta: 1 day, 13:31:01, time: 1.371, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1241, s0.acc: 95.3887, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1865, s1.loss_cls: 0.0592, s1.acc: 95.6626, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0877, s2.loss_cls: 0.0304, s2.acc: 95.4388, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0416, loss: 0.9451 2022-09-14 21:39:55,254 - mmdet - INFO - Epoch [23][4350/7330] lr: 1.000e-04, eta: 1 day, 13:29:52, time: 1.377, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1701, s0.loss_cls: 0.1356, s0.acc: 95.0188, s0.loss_bbox: 0.0749, s0.loss_mask: 0.1916, s1.loss_cls: 0.0654, s1.acc: 95.1853, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0904, s2.loss_cls: 0.0335, s2.acc: 95.0146, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0430, loss: 0.9925 2022-09-14 21:41:03,588 - mmdet - INFO - Epoch [23][4400/7330] lr: 1.000e-04, eta: 1 day, 13:28:43, time: 1.366, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1720, s0.loss_cls: 0.1263, s0.acc: 95.4363, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1828, s1.loss_cls: 0.0607, s1.acc: 95.6255, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0863, s2.loss_cls: 0.0309, s2.acc: 95.4350, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0409, loss: 0.9469 2022-09-14 21:42:12,561 - mmdet - INFO - Epoch [23][4450/7330] lr: 1.000e-04, eta: 1 day, 13:27:35, time: 1.378, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1261, s0.acc: 95.3730, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1826, s1.loss_cls: 0.0608, s1.acc: 95.5658, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0867, s2.loss_cls: 0.0315, s2.acc: 95.2903, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0413, loss: 0.9380 2022-09-14 21:43:21,238 - mmdet - INFO - Epoch [23][4500/7330] lr: 1.000e-04, eta: 1 day, 13:26:26, time: 1.375, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1251, s0.acc: 95.3650, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1862, s1.loss_cls: 0.0595, s1.acc: 95.5874, s1.loss_bbox: 0.0858, s1.loss_mask: 0.0883, s2.loss_cls: 0.0309, s2.acc: 95.2851, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0415, loss: 0.9536 2022-09-14 21:44:29,786 - mmdet - INFO - Epoch [23][4550/7330] lr: 1.000e-04, eta: 1 day, 13:25:17, time: 1.371, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1262, s0.acc: 95.4097, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1866, s1.loss_cls: 0.0596, s1.acc: 95.6584, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0881, s2.loss_cls: 0.0310, s2.acc: 95.3972, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0419, loss: 0.9542 2022-09-14 21:45:38,883 - mmdet - INFO - Epoch [23][4600/7330] lr: 1.000e-04, eta: 1 day, 13:24:09, time: 1.382, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1572, s0.loss_cls: 0.1256, s0.acc: 95.4016, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1838, s1.loss_cls: 0.0594, s1.acc: 95.6321, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0878, s2.loss_cls: 0.0300, s2.acc: 95.4863, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0414, loss: 0.9318 2022-09-14 21:46:46,787 - mmdet - INFO - Epoch [23][4650/7330] lr: 1.000e-04, eta: 1 day, 13:23:00, time: 1.358, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1208, s0.acc: 95.6201, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1781, s1.loss_cls: 0.0565, s1.acc: 95.9023, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0845, s2.loss_cls: 0.0290, s2.acc: 95.7093, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0400, loss: 0.9235 2022-09-14 21:47:55,053 - mmdet - INFO - Epoch [23][4700/7330] lr: 1.000e-04, eta: 1 day, 13:21:51, time: 1.365, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1668, s0.loss_cls: 0.1331, s0.acc: 95.1868, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1896, s1.loss_cls: 0.0626, s1.acc: 95.4203, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0900, s2.loss_cls: 0.0321, s2.acc: 95.2792, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0423, loss: 0.9735 2022-09-14 21:49:03,039 - mmdet - INFO - Epoch [23][4750/7330] lr: 1.000e-04, eta: 1 day, 13:20:42, time: 1.360, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1637, s0.loss_cls: 0.1233, s0.acc: 95.4661, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1858, s1.loss_cls: 0.0580, s1.acc: 95.7399, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0883, s2.loss_cls: 0.0298, s2.acc: 95.4514, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0421, loss: 0.9369 2022-09-14 21:50:11,873 - mmdet - INFO - Epoch [23][4800/7330] lr: 1.000e-04, eta: 1 day, 13:19:33, time: 1.377, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1579, s0.loss_cls: 0.1171, s0.acc: 95.6406, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1818, s1.loss_cls: 0.0551, s1.acc: 95.8728, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0865, s2.loss_cls: 0.0289, s2.acc: 95.6976, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0409, loss: 0.9055 2022-09-14 21:51:20,647 - mmdet - INFO - Epoch [23][4850/7330] lr: 1.000e-04, eta: 1 day, 13:18:24, time: 1.376, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1213, s0.acc: 95.5493, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1810, s1.loss_cls: 0.0575, s1.acc: 95.7560, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0858, s2.loss_cls: 0.0298, s2.acc: 95.5222, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0406, loss: 0.9140 2022-09-14 21:52:28,874 - mmdet - INFO - Epoch [23][4900/7330] lr: 1.000e-04, eta: 1 day, 13:17:16, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1574, s0.loss_cls: 0.1253, s0.acc: 95.3718, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1873, s1.loss_cls: 0.0589, s1.acc: 95.6509, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0888, s2.loss_cls: 0.0310, s2.acc: 95.3849, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0421, loss: 0.9358 2022-09-14 21:53:37,616 - mmdet - INFO - Epoch [23][4950/7330] lr: 1.000e-04, eta: 1 day, 13:16:07, time: 1.375, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1303, s0.acc: 95.3201, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1889, s1.loss_cls: 0.0618, s1.acc: 95.5558, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0892, s2.loss_cls: 0.0318, s2.acc: 95.3644, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0419, loss: 0.9714 2022-09-14 21:54:46,125 - mmdet - INFO - Epoch [23][5000/7330] lr: 1.000e-04, eta: 1 day, 13:14:58, time: 1.370, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1742, s0.loss_cls: 0.1248, s0.acc: 95.4792, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1880, s1.loss_cls: 0.0609, s1.acc: 95.6288, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0889, s2.loss_cls: 0.0307, s2.acc: 95.4363, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0417, loss: 0.9475 2022-09-14 21:55:53,854 - mmdet - INFO - Epoch [23][5050/7330] lr: 1.000e-04, eta: 1 day, 13:13:49, time: 1.355, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1626, s0.loss_cls: 0.1229, s0.acc: 95.5459, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1833, s1.loss_cls: 0.0587, s1.acc: 95.7257, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0879, s2.loss_cls: 0.0300, s2.acc: 95.5838, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0416, loss: 0.9327 2022-09-14 21:57:03,350 - mmdet - INFO - Epoch [23][5100/7330] lr: 1.000e-04, eta: 1 day, 13:12:41, time: 1.390, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0271, loss_semantic_seg: 0.1699, s0.loss_cls: 0.1346, s0.acc: 95.1113, s0.loss_bbox: 0.0741, s0.loss_mask: 0.1867, s1.loss_cls: 0.0652, s1.acc: 95.3010, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0881, s2.loss_cls: 0.0334, s2.acc: 94.9886, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0412, loss: 0.9794 2022-09-14 21:58:11,220 - mmdet - INFO - Epoch [23][5150/7330] lr: 1.000e-04, eta: 1 day, 13:11:31, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1243, s0.acc: 95.5007, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1811, s1.loss_cls: 0.0582, s1.acc: 95.7364, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0853, s2.loss_cls: 0.0298, s2.acc: 95.5526, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0404, loss: 0.9274 2022-09-14 21:59:20,079 - mmdet - INFO - Epoch [23][5200/7330] lr: 1.000e-04, eta: 1 day, 13:10:23, time: 1.377, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1337, s0.acc: 95.0862, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1854, s1.loss_cls: 0.0640, s1.acc: 95.2926, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0873, s2.loss_cls: 0.0327, s2.acc: 95.0311, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0414, loss: 0.9651 2022-09-14 22:00:29,657 - mmdet - INFO - Epoch [23][5250/7330] lr: 1.000e-04, eta: 1 day, 13:09:15, time: 1.392, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1315, s0.acc: 95.1970, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1831, s1.loss_cls: 0.0624, s1.acc: 95.3721, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0868, s2.loss_cls: 0.0316, s2.acc: 95.2818, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0412, loss: 0.9629 2022-09-14 22:01:37,526 - mmdet - INFO - Epoch [23][5300/7330] lr: 1.000e-04, eta: 1 day, 13:08:06, time: 1.357, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1248, s0.acc: 95.4216, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1855, s1.loss_cls: 0.0584, s1.acc: 95.6601, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0886, s2.loss_cls: 0.0303, s2.acc: 95.4107, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0418, loss: 0.9404 2022-09-14 22:02:46,594 - mmdet - INFO - Epoch [23][5350/7330] lr: 1.000e-04, eta: 1 day, 13:06:57, time: 1.381, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1280, s0.acc: 95.3335, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1830, s1.loss_cls: 0.0611, s1.acc: 95.4921, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0858, s2.loss_cls: 0.0314, s2.acc: 95.3207, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0407, loss: 0.9368 2022-09-14 22:03:55,160 - mmdet - INFO - Epoch [23][5400/7330] lr: 1.000e-04, eta: 1 day, 13:05:48, time: 1.371, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1571, s0.loss_cls: 0.1228, s0.acc: 95.4487, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1802, s1.loss_cls: 0.0576, s1.acc: 95.7633, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0852, s2.loss_cls: 0.0298, s2.acc: 95.4867, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0406, loss: 0.9171 2022-09-14 22:05:04,015 - mmdet - INFO - Epoch [23][5450/7330] lr: 1.000e-04, eta: 1 day, 13:04:40, time: 1.377, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1749, s0.loss_cls: 0.1267, s0.acc: 95.4922, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1804, s1.loss_cls: 0.0598, s1.acc: 95.7108, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0852, s2.loss_cls: 0.0310, s2.acc: 95.4003, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0404, loss: 0.9455 2022-09-14 22:06:11,887 - mmdet - INFO - Epoch [23][5500/7330] lr: 1.000e-04, eta: 1 day, 13:03:31, time: 1.358, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1292, s0.acc: 95.2837, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1821, s1.loss_cls: 0.0611, s1.acc: 95.5763, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0855, s2.loss_cls: 0.0310, s2.acc: 95.4018, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0405, loss: 0.9511 2022-09-14 22:07:20,379 - mmdet - INFO - Epoch [23][5550/7330] lr: 1.000e-04, eta: 1 day, 13:02:22, time: 1.370, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1359, s0.acc: 95.0115, s0.loss_bbox: 0.0758, s0.loss_mask: 0.1900, s1.loss_cls: 0.0650, s1.acc: 95.2447, s1.loss_bbox: 0.0884, s1.loss_mask: 0.0903, s2.loss_cls: 0.0338, s2.acc: 95.0586, s2.loss_bbox: 0.0573, s2.loss_mask: 0.0425, loss: 0.9906 2022-09-14 22:08:27,720 - mmdet - INFO - Epoch [23][5600/7330] lr: 1.000e-04, eta: 1 day, 13:01:12, time: 1.347, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1229, s0.acc: 95.6033, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1777, s1.loss_cls: 0.0589, s1.acc: 95.8359, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0842, s2.loss_cls: 0.0303, s2.acc: 95.5890, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0397, loss: 0.9188 2022-09-14 22:09:36,031 - mmdet - INFO - Epoch [23][5650/7330] lr: 1.000e-04, eta: 1 day, 13:00:03, time: 1.364, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1243, s0.acc: 95.4319, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1816, s1.loss_cls: 0.0591, s1.acc: 95.6931, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0861, s2.loss_cls: 0.0305, s2.acc: 95.3891, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0408, loss: 0.9395 2022-09-14 22:10:45,101 - mmdet - INFO - Epoch [23][5700/7330] lr: 1.000e-04, eta: 1 day, 12:58:55, time: 1.383, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1223, s0.acc: 95.4541, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1815, s1.loss_cls: 0.0581, s1.acc: 95.6763, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0869, s2.loss_cls: 0.0307, s2.acc: 95.4107, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0413, loss: 0.9244 2022-09-14 22:11:54,730 - mmdet - INFO - Epoch [23][5750/7330] lr: 1.000e-04, eta: 1 day, 12:57:47, time: 1.393, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1280, s0.acc: 95.2268, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1859, s1.loss_cls: 0.0608, s1.acc: 95.5152, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0880, s2.loss_cls: 0.0316, s2.acc: 95.2028, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0415, loss: 0.9631 2022-09-14 22:13:03,910 - mmdet - INFO - Epoch [23][5800/7330] lr: 1.000e-04, eta: 1 day, 12:56:38, time: 1.383, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1277, s0.acc: 95.3105, s0.loss_bbox: 0.0734, s0.loss_mask: 0.1932, s1.loss_cls: 0.0613, s1.acc: 95.4936, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0905, s2.loss_cls: 0.0311, s2.acc: 95.3313, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0428, loss: 0.9690 2022-09-14 22:14:11,316 - mmdet - INFO - Epoch [23][5850/7330] lr: 1.000e-04, eta: 1 day, 12:55:29, time: 1.349, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1243, s0.acc: 95.4248, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1864, s1.loss_cls: 0.0587, s1.acc: 95.6742, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0875, s2.loss_cls: 0.0303, s2.acc: 95.3511, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0416, loss: 0.9478 2022-09-14 22:15:19,038 - mmdet - INFO - Epoch [23][5900/7330] lr: 1.000e-04, eta: 1 day, 12:54:20, time: 1.355, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1748, s0.loss_cls: 0.1239, s0.acc: 95.4927, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1844, s1.loss_cls: 0.0594, s1.acc: 95.6395, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0872, s2.loss_cls: 0.0308, s2.acc: 95.3863, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0413, loss: 0.9465 2022-09-14 22:16:27,650 - mmdet - INFO - Epoch [23][5950/7330] lr: 1.000e-04, eta: 1 day, 12:53:11, time: 1.372, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1278, s0.acc: 95.3552, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1857, s1.loss_cls: 0.0613, s1.acc: 95.5826, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0879, s2.loss_cls: 0.0318, s2.acc: 95.3295, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0418, loss: 0.9529 2022-09-14 22:17:35,715 - mmdet - INFO - Epoch [23][6000/7330] lr: 1.000e-04, eta: 1 day, 12:52:02, time: 1.361, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1274, s0.acc: 95.2871, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1852, s1.loss_cls: 0.0607, s1.acc: 95.5166, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0880, s2.loss_cls: 0.0309, s2.acc: 95.4312, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0417, loss: 0.9482 2022-09-14 22:18:44,367 - mmdet - INFO - Epoch [23][6050/7330] lr: 1.000e-04, eta: 1 day, 12:50:53, time: 1.373, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1248, s0.acc: 95.4060, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1827, s1.loss_cls: 0.0581, s1.acc: 95.6828, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0865, s2.loss_cls: 0.0303, s2.acc: 95.3973, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0412, loss: 0.9334 2022-09-14 22:19:53,110 - mmdet - INFO - Epoch [23][6100/7330] lr: 1.000e-04, eta: 1 day, 12:49:45, time: 1.373, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1551, s0.loss_cls: 0.1263, s0.acc: 95.3032, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1860, s1.loss_cls: 0.0599, s1.acc: 95.5869, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0882, s2.loss_cls: 0.0309, s2.acc: 95.2766, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0417, loss: 0.9472 2022-09-14 22:21:01,102 - mmdet - INFO - Epoch [23][6150/7330] lr: 1.000e-04, eta: 1 day, 12:48:36, time: 1.361, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1275, s0.acc: 95.3921, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1847, s1.loss_cls: 0.0600, s1.acc: 95.7192, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0864, s2.loss_cls: 0.0314, s2.acc: 95.4944, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0406, loss: 0.9461 2022-09-14 22:22:09,634 - mmdet - INFO - Epoch [23][6200/7330] lr: 1.000e-04, eta: 1 day, 12:47:27, time: 1.371, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1327, s0.acc: 95.1299, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1868, s1.loss_cls: 0.0629, s1.acc: 95.4636, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0886, s2.loss_cls: 0.0321, s2.acc: 95.3556, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0415, loss: 0.9699 2022-09-14 22:23:16,677 - mmdet - INFO - Epoch [23][6250/7330] lr: 1.000e-04, eta: 1 day, 12:46:17, time: 1.341, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1173, s0.acc: 95.6936, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1826, s1.loss_cls: 0.0547, s1.acc: 96.0013, s1.loss_bbox: 0.0778, s1.loss_mask: 0.0874, s2.loss_cls: 0.0284, s2.acc: 95.6953, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0414, loss: 0.9114 2022-09-14 22:24:24,694 - mmdet - INFO - Epoch [23][6300/7330] lr: 1.000e-04, eta: 1 day, 12:45:08, time: 1.359, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1671, s0.loss_cls: 0.1236, s0.acc: 95.4824, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1822, s1.loss_cls: 0.0585, s1.acc: 95.7411, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0864, s2.loss_cls: 0.0305, s2.acc: 95.4544, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0412, loss: 0.9306 2022-09-14 22:25:32,494 - mmdet - INFO - Epoch [23][6350/7330] lr: 1.000e-04, eta: 1 day, 12:43:59, time: 1.358, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1603, s0.loss_cls: 0.1268, s0.acc: 95.3208, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1862, s1.loss_cls: 0.0596, s1.acc: 95.6180, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0880, s2.loss_cls: 0.0311, s2.acc: 95.2967, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0416, loss: 0.9456 2022-09-14 22:26:41,584 - mmdet - INFO - Epoch [23][6400/7330] lr: 1.000e-04, eta: 1 day, 12:42:50, time: 1.379, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1705, s0.loss_cls: 0.1275, s0.acc: 95.3125, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1847, s1.loss_cls: 0.0611, s1.acc: 95.5262, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0879, s2.loss_cls: 0.0318, s2.acc: 95.3001, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0414, loss: 0.9603 2022-09-14 22:27:49,773 - mmdet - INFO - Epoch [23][6450/7330] lr: 1.000e-04, eta: 1 day, 12:41:42, time: 1.367, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1668, s0.loss_cls: 0.1275, s0.acc: 95.3318, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1837, s1.loss_cls: 0.0600, s1.acc: 95.6502, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0872, s2.loss_cls: 0.0307, s2.acc: 95.4143, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0414, loss: 0.9468 2022-09-14 22:28:58,815 - mmdet - INFO - Epoch [23][6500/7330] lr: 1.000e-04, eta: 1 day, 12:40:33, time: 1.381, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1267, s0.acc: 95.3149, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1886, s1.loss_cls: 0.0608, s1.acc: 95.5753, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0896, s2.loss_cls: 0.0316, s2.acc: 95.2286, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0423, loss: 0.9617 2022-09-14 22:30:06,837 - mmdet - INFO - Epoch [23][6550/7330] lr: 1.000e-04, eta: 1 day, 12:39:24, time: 1.360, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1223, s0.acc: 95.5039, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1846, s1.loss_cls: 0.0577, s1.acc: 95.7511, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0878, s2.loss_cls: 0.0295, s2.acc: 95.5801, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0413, loss: 0.9328 2022-09-14 22:31:14,661 - mmdet - INFO - Epoch [23][6600/7330] lr: 1.000e-04, eta: 1 day, 12:38:15, time: 1.356, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1588, s0.loss_cls: 0.1230, s0.acc: 95.4797, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1812, s1.loss_cls: 0.0590, s1.acc: 95.6347, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0859, s2.loss_cls: 0.0296, s2.acc: 95.5354, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0407, loss: 0.9255 2022-09-14 22:32:25,125 - mmdet - INFO - Epoch [23][6650/7330] lr: 1.000e-04, eta: 1 day, 12:37:07, time: 1.409, data_time: 0.042, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1327, s0.acc: 95.1750, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1859, s1.loss_cls: 0.0621, s1.acc: 95.3986, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0876, s2.loss_cls: 0.0319, s2.acc: 95.2189, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0414, loss: 0.9638 2022-09-14 22:33:32,812 - mmdet - INFO - Epoch [23][6700/7330] lr: 1.000e-04, eta: 1 day, 12:35:58, time: 1.354, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1677, s0.loss_cls: 0.1252, s0.acc: 95.3987, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1826, s1.loss_cls: 0.0597, s1.acc: 95.6264, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0865, s2.loss_cls: 0.0306, s2.acc: 95.4517, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0412, loss: 0.9418 2022-09-14 22:34:41,075 - mmdet - INFO - Epoch [23][6750/7330] lr: 1.000e-04, eta: 1 day, 12:34:49, time: 1.365, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1173, s0.acc: 95.7002, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1814, s1.loss_cls: 0.0557, s1.acc: 95.8645, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0861, s2.loss_cls: 0.0286, s2.acc: 95.7592, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0407, loss: 0.9122 2022-09-14 22:35:49,619 - mmdet - INFO - Epoch [23][6800/7330] lr: 1.000e-04, eta: 1 day, 12:33:40, time: 1.371, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1651, s0.loss_cls: 0.1267, s0.acc: 95.3394, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1819, s1.loss_cls: 0.0595, s1.acc: 95.6433, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0858, s2.loss_cls: 0.0305, s2.acc: 95.5293, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0402, loss: 0.9342 2022-09-14 22:37:01,200 - mmdet - INFO - Epoch [23][6850/7330] lr: 1.000e-04, eta: 1 day, 12:32:33, time: 1.432, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1724, s0.loss_cls: 0.1293, s0.acc: 95.2490, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1851, s1.loss_cls: 0.0607, s1.acc: 95.5065, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0880, s2.loss_cls: 0.0312, s2.acc: 95.3149, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0418, loss: 0.9609 2022-09-14 22:38:10,251 - mmdet - INFO - Epoch [23][6900/7330] lr: 1.000e-04, eta: 1 day, 12:31:25, time: 1.381, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1275, s0.acc: 95.3579, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1832, s1.loss_cls: 0.0602, s1.acc: 95.6511, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0866, s2.loss_cls: 0.0314, s2.acc: 95.3560, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0410, loss: 0.9549 2022-09-14 22:39:19,106 - mmdet - INFO - Epoch [23][6950/7330] lr: 1.000e-04, eta: 1 day, 12:30:16, time: 1.377, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1606, s0.loss_cls: 0.1179, s0.acc: 95.7231, s0.loss_bbox: 0.0655, s0.loss_mask: 0.1831, s1.loss_cls: 0.0560, s1.acc: 95.9224, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0870, s2.loss_cls: 0.0286, s2.acc: 95.7122, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0411, loss: 0.9087 2022-09-14 22:40:27,937 - mmdet - INFO - Epoch [23][7000/7330] lr: 1.000e-04, eta: 1 day, 12:29:08, time: 1.377, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1651, s0.loss_cls: 0.1251, s0.acc: 95.3552, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1861, s1.loss_cls: 0.0586, s1.acc: 95.6581, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0873, s2.loss_cls: 0.0305, s2.acc: 95.4087, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0415, loss: 0.9473 2022-09-14 22:41:36,140 - mmdet - INFO - Epoch [23][7050/7330] lr: 1.000e-04, eta: 1 day, 12:27:59, time: 1.364, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1659, s0.loss_cls: 0.1185, s0.acc: 95.6714, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1842, s1.loss_cls: 0.0552, s1.acc: 95.9236, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0870, s2.loss_cls: 0.0284, s2.acc: 95.7868, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0412, loss: 0.9188 2022-09-14 22:42:45,849 - mmdet - INFO - Epoch [23][7100/7330] lr: 1.000e-04, eta: 1 day, 12:26:50, time: 1.394, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1718, s0.loss_cls: 0.1236, s0.acc: 95.4434, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1858, s1.loss_cls: 0.0590, s1.acc: 95.6864, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0877, s2.loss_cls: 0.0307, s2.acc: 95.4068, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0412, loss: 0.9432 2022-09-14 22:43:55,092 - mmdet - INFO - Epoch [23][7150/7330] lr: 1.000e-04, eta: 1 day, 12:25:42, time: 1.385, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1237, s0.acc: 95.4871, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1807, s1.loss_cls: 0.0578, s1.acc: 95.7447, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0864, s2.loss_cls: 0.0295, s2.acc: 95.6178, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0406, loss: 0.9377 2022-09-14 22:45:02,799 - mmdet - INFO - Epoch [23][7200/7330] lr: 1.000e-04, eta: 1 day, 12:24:33, time: 1.354, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1625, s0.loss_cls: 0.1254, s0.acc: 95.4607, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1812, s1.loss_cls: 0.0593, s1.acc: 95.6893, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0865, s2.loss_cls: 0.0308, s2.acc: 95.5233, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0410, loss: 0.9271 2022-09-14 22:46:10,623 - mmdet - INFO - Epoch [23][7250/7330] lr: 1.000e-04, eta: 1 day, 12:23:24, time: 1.357, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1222, s0.acc: 95.5928, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1858, s1.loss_cls: 0.0582, s1.acc: 95.7668, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0878, s2.loss_cls: 0.0295, s2.acc: 95.6253, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0418, loss: 0.9340 2022-09-14 22:47:19,235 - mmdet - INFO - Epoch [23][7300/7330] lr: 1.000e-04, eta: 1 day, 12:22:15, time: 1.372, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1334, s0.acc: 95.1184, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1827, s1.loss_cls: 0.0642, s1.acc: 95.2638, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0863, s2.loss_cls: 0.0329, s2.acc: 94.9711, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0410, loss: 0.9666 2022-09-14 22:48:11,411 - mmdet - INFO - Saving checkpoint at 23 epochs 2022-09-14 22:51:43,621 - mmdet - INFO - Evaluating bbox... 2022-09-14 22:52:45,586 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.565 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.752 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.626 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.431 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.602 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.696 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.736 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.736 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.736 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.597 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.772 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.865 2022-09-14 22:52:45,586 - mmdet - INFO - Evaluating segm... 2022-09-14 22:53:54,006 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.493 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.732 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.542 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.318 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.527 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.677 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.642 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.642 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.642 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.496 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.674 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.789 2022-09-14 22:53:55,332 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-14 22:53:55,333 - mmdet - INFO - Epoch(val) [23][313] bbox_mAP: 0.5650, bbox_mAP_50: 0.7520, bbox_mAP_75: 0.6260, bbox_mAP_s: 0.4310, bbox_mAP_m: 0.6020, bbox_mAP_l: 0.6960, bbox_mAP_copypaste: 0.565 0.752 0.626 0.431 0.602 0.696, segm_mAP: 0.4930, segm_mAP_50: 0.7320, segm_mAP_75: 0.5420, segm_mAP_s: 0.3180, segm_mAP_m: 0.5270, segm_mAP_l: 0.6770, segm_mAP_copypaste: 0.493 0.732 0.542 0.318 0.527 0.677 2022-09-14 22:57:08,046 - mmdet - INFO - Epoch [24][50/7330] lr: 1.000e-04, eta: 1 day, 12:21:12, time: 3.854, data_time: 2.470, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1626, s0.loss_cls: 0.1319, s0.acc: 95.0618, s0.loss_bbox: 0.0771, s0.loss_mask: 0.1944, s1.loss_cls: 0.0632, s1.acc: 95.2609, s1.loss_bbox: 0.0883, s1.loss_mask: 0.0913, s2.loss_cls: 0.0324, s2.acc: 95.0144, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0430, loss: 0.9884 2022-09-14 22:58:16,866 - mmdet - INFO - Epoch [24][100/7330] lr: 1.000e-04, eta: 1 day, 12:20:03, time: 1.375, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1151, s0.acc: 95.8418, s0.loss_bbox: 0.0641, s0.loss_mask: 0.1799, s1.loss_cls: 0.0533, s1.acc: 96.1780, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0854, s2.loss_cls: 0.0276, s2.acc: 96.0384, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0406, loss: 0.9038 2022-09-14 22:59:25,300 - mmdet - INFO - Epoch [24][150/7330] lr: 1.000e-04, eta: 1 day, 12:18:54, time: 1.370, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1213, s0.acc: 95.6379, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1786, s1.loss_cls: 0.0567, s1.acc: 95.9401, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0844, s2.loss_cls: 0.0288, s2.acc: 95.7895, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0400, loss: 0.9168 2022-09-14 23:00:33,973 - mmdet - INFO - Epoch [24][200/7330] lr: 1.000e-04, eta: 1 day, 12:17:46, time: 1.373, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1570, s0.loss_cls: 0.1233, s0.acc: 95.4775, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1829, s1.loss_cls: 0.0582, s1.acc: 95.6403, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0865, s2.loss_cls: 0.0296, s2.acc: 95.5029, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0407, loss: 0.9249 2022-09-14 23:01:41,790 - mmdet - INFO - Epoch [24][250/7330] lr: 1.000e-04, eta: 1 day, 12:16:36, time: 1.356, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1231, s0.acc: 95.5317, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1769, s1.loss_cls: 0.0585, s1.acc: 95.7353, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0844, s2.loss_cls: 0.0304, s2.acc: 95.4775, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0399, loss: 0.9210 2022-09-14 23:02:49,644 - mmdet - INFO - Epoch [24][300/7330] lr: 1.000e-04, eta: 1 day, 12:15:27, time: 1.357, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1307, s0.acc: 95.3154, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1884, s1.loss_cls: 0.0618, s1.acc: 95.5812, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0891, s2.loss_cls: 0.0317, s2.acc: 95.3857, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0422, loss: 0.9605 2022-09-14 23:03:57,194 - mmdet - INFO - Epoch [24][350/7330] lr: 1.000e-04, eta: 1 day, 12:14:18, time: 1.349, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1711, s0.loss_cls: 0.1170, s0.acc: 95.6262, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1810, s1.loss_cls: 0.0556, s1.acc: 95.8468, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0858, s2.loss_cls: 0.0284, s2.acc: 95.6180, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0408, loss: 0.9194 2022-09-14 23:05:05,891 - mmdet - INFO - Epoch [24][400/7330] lr: 1.000e-04, eta: 1 day, 12:13:09, time: 1.375, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1627, s0.loss_cls: 0.1281, s0.acc: 95.2500, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1852, s1.loss_cls: 0.0612, s1.acc: 95.4554, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0886, s2.loss_cls: 0.0315, s2.acc: 95.2096, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0419, loss: 0.9519 2022-09-14 23:06:13,546 - mmdet - INFO - Epoch [24][450/7330] lr: 1.000e-04, eta: 1 day, 12:12:00, time: 1.353, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1266, s0.acc: 95.3716, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1829, s1.loss_cls: 0.0594, s1.acc: 95.6808, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0857, s2.loss_cls: 0.0305, s2.acc: 95.4562, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0407, loss: 0.9393 2022-09-14 23:07:21,591 - mmdet - INFO - Epoch [24][500/7330] lr: 1.000e-04, eta: 1 day, 12:10:51, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1596, s0.loss_cls: 0.1226, s0.acc: 95.5303, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1807, s1.loss_cls: 0.0582, s1.acc: 95.7819, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0855, s2.loss_cls: 0.0306, s2.acc: 95.4724, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0403, loss: 0.9160 2022-09-14 23:08:29,803 - mmdet - INFO - Epoch [24][550/7330] lr: 1.000e-04, eta: 1 day, 12:09:42, time: 1.366, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1282, s0.acc: 95.3003, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1839, s1.loss_cls: 0.0617, s1.acc: 95.5313, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0862, s2.loss_cls: 0.0313, s2.acc: 95.3004, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0408, loss: 0.9512 2022-09-14 23:09:38,422 - mmdet - INFO - Epoch [24][600/7330] lr: 1.000e-04, eta: 1 day, 12:08:33, time: 1.372, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1565, s0.loss_cls: 0.1254, s0.acc: 95.3618, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1845, s1.loss_cls: 0.0595, s1.acc: 95.6098, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0872, s2.loss_cls: 0.0302, s2.acc: 95.4465, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0411, loss: 0.9359 2022-09-14 23:10:46,663 - mmdet - INFO - Epoch [24][650/7330] lr: 1.000e-04, eta: 1 day, 12:07:24, time: 1.364, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1620, s0.loss_cls: 0.1201, s0.acc: 95.5256, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1809, s1.loss_cls: 0.0573, s1.acc: 95.7413, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0854, s2.loss_cls: 0.0296, s2.acc: 95.5031, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0407, loss: 0.9160 2022-09-14 23:11:55,010 - mmdet - INFO - Epoch [24][700/7330] lr: 1.000e-04, eta: 1 day, 12:06:15, time: 1.367, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1561, s0.loss_cls: 0.1242, s0.acc: 95.4116, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1853, s1.loss_cls: 0.0580, s1.acc: 95.7866, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0879, s2.loss_cls: 0.0296, s2.acc: 95.5531, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0418, loss: 0.9294 2022-09-14 23:13:03,051 - mmdet - INFO - Epoch [24][750/7330] lr: 1.000e-04, eta: 1 day, 12:05:06, time: 1.361, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1592, s0.loss_cls: 0.1161, s0.acc: 95.7251, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1761, s1.loss_cls: 0.0552, s1.acc: 96.0171, s1.loss_bbox: 0.0775, s1.loss_mask: 0.0844, s2.loss_cls: 0.0280, s2.acc: 95.8134, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0399, loss: 0.8966 2022-09-14 23:14:12,083 - mmdet - INFO - Epoch [24][800/7330] lr: 1.000e-04, eta: 1 day, 12:03:58, time: 1.381, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1546, s0.loss_cls: 0.1271, s0.acc: 95.3894, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1817, s1.loss_cls: 0.0595, s1.acc: 95.6566, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0859, s2.loss_cls: 0.0303, s2.acc: 95.4712, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0409, loss: 0.9365 2022-09-14 23:15:20,158 - mmdet - INFO - Epoch [24][850/7330] lr: 1.000e-04, eta: 1 day, 12:02:49, time: 1.362, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1601, s0.loss_cls: 0.1223, s0.acc: 95.4685, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1817, s1.loss_cls: 0.0579, s1.acc: 95.7134, s1.loss_bbox: 0.0771, s1.loss_mask: 0.0859, s2.loss_cls: 0.0296, s2.acc: 95.5242, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0408, loss: 0.9156 2022-09-14 23:16:27,622 - mmdet - INFO - Epoch [24][900/7330] lr: 1.000e-04, eta: 1 day, 12:01:39, time: 1.349, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1699, s0.loss_cls: 0.1252, s0.acc: 95.4763, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1848, s1.loss_cls: 0.0592, s1.acc: 95.7774, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0880, s2.loss_cls: 0.0305, s2.acc: 95.6164, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0420, loss: 0.9418 2022-09-14 23:17:35,836 - mmdet - INFO - Epoch [24][950/7330] lr: 1.000e-04, eta: 1 day, 12:00:30, time: 1.364, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1591, s0.loss_cls: 0.1182, s0.acc: 95.6277, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1835, s1.loss_cls: 0.0567, s1.acc: 95.7386, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0886, s2.loss_cls: 0.0292, s2.acc: 95.5684, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0415, loss: 0.9142 2022-09-14 23:18:44,150 - mmdet - INFO - Epoch [24][1000/7330] lr: 1.000e-04, eta: 1 day, 11:59:21, time: 1.366, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1230, s0.acc: 95.4954, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1829, s1.loss_cls: 0.0575, s1.acc: 95.7955, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0867, s2.loss_cls: 0.0297, s2.acc: 95.5276, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0410, loss: 0.9323 2022-09-14 23:19:52,050 - mmdet - INFO - Epoch [24][1050/7330] lr: 1.000e-04, eta: 1 day, 11:58:12, time: 1.358, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1269, s0.acc: 95.2461, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1833, s1.loss_cls: 0.0599, s1.acc: 95.5723, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0873, s2.loss_cls: 0.0311, s2.acc: 95.3591, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0412, loss: 0.9466 2022-09-14 23:21:00,565 - mmdet - INFO - Epoch [24][1100/7330] lr: 1.000e-04, eta: 1 day, 11:57:03, time: 1.370, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1225, s0.acc: 95.4934, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1856, s1.loss_cls: 0.0586, s1.acc: 95.7245, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0883, s2.loss_cls: 0.0299, s2.acc: 95.5226, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0419, loss: 0.9395 2022-09-14 23:22:08,988 - mmdet - INFO - Epoch [24][1150/7330] lr: 1.000e-04, eta: 1 day, 11:55:54, time: 1.368, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1670, s0.loss_cls: 0.1271, s0.acc: 95.2766, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1851, s1.loss_cls: 0.0617, s1.acc: 95.4590, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0872, s2.loss_cls: 0.0317, s2.acc: 95.2072, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0411, loss: 0.9524 2022-09-14 23:23:17,689 - mmdet - INFO - Epoch [24][1200/7330] lr: 1.000e-04, eta: 1 day, 11:54:46, time: 1.374, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1573, s0.loss_cls: 0.1181, s0.acc: 95.5576, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1764, s1.loss_cls: 0.0556, s1.acc: 95.8100, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0837, s2.loss_cls: 0.0291, s2.acc: 95.6044, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0398, loss: 0.9023 2022-09-14 23:24:25,537 - mmdet - INFO - Epoch [24][1250/7330] lr: 1.000e-04, eta: 1 day, 11:53:37, time: 1.357, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1626, s0.loss_cls: 0.1193, s0.acc: 95.5205, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1802, s1.loss_cls: 0.0565, s1.acc: 95.7321, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0858, s2.loss_cls: 0.0297, s2.acc: 95.4195, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0405, loss: 0.9195 2022-09-14 23:25:34,084 - mmdet - INFO - Epoch [24][1300/7330] lr: 1.000e-04, eta: 1 day, 11:52:28, time: 1.371, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1614, s0.loss_cls: 0.1164, s0.acc: 95.6543, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1790, s1.loss_cls: 0.0560, s1.acc: 95.8244, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0843, s2.loss_cls: 0.0288, s2.acc: 95.6230, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0397, loss: 0.9014 2022-09-14 23:26:42,542 - mmdet - INFO - Epoch [24][1350/7330] lr: 1.000e-04, eta: 1 day, 11:51:19, time: 1.369, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1671, s0.loss_cls: 0.1232, s0.acc: 95.4160, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1845, s1.loss_cls: 0.0589, s1.acc: 95.6806, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0877, s2.loss_cls: 0.0302, s2.acc: 95.4763, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0416, loss: 0.9369 2022-09-14 23:27:51,048 - mmdet - INFO - Epoch [24][1400/7330] lr: 1.000e-04, eta: 1 day, 11:50:10, time: 1.370, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1176, s0.acc: 95.6755, s0.loss_bbox: 0.0651, s0.loss_mask: 0.1800, s1.loss_cls: 0.0558, s1.acc: 95.9112, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0855, s2.loss_cls: 0.0291, s2.acc: 95.6557, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0405, loss: 0.9069 2022-09-14 23:28:59,840 - mmdet - INFO - Epoch [24][1450/7330] lr: 1.000e-04, eta: 1 day, 11:49:01, time: 1.376, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1309, s0.acc: 95.1655, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1875, s1.loss_cls: 0.0624, s1.acc: 95.4016, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0893, s2.loss_cls: 0.0320, s2.acc: 95.2246, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0422, loss: 0.9587 2022-09-14 23:30:07,990 - mmdet - INFO - Epoch [24][1500/7330] lr: 1.000e-04, eta: 1 day, 11:47:52, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1248, s0.acc: 95.4207, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1851, s1.loss_cls: 0.0595, s1.acc: 95.7167, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0883, s2.loss_cls: 0.0313, s2.acc: 95.4022, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0421, loss: 0.9439 2022-09-14 23:31:16,371 - mmdet - INFO - Epoch [24][1550/7330] lr: 1.000e-04, eta: 1 day, 11:46:44, time: 1.367, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1555, s0.loss_cls: 0.1278, s0.acc: 95.1484, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1848, s1.loss_cls: 0.0604, s1.acc: 95.4574, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0884, s2.loss_cls: 0.0311, s2.acc: 95.2509, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0420, loss: 0.9488 2022-09-14 23:32:23,971 - mmdet - INFO - Epoch [24][1600/7330] lr: 1.000e-04, eta: 1 day, 11:45:34, time: 1.352, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1213, s0.acc: 95.5312, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1790, s1.loss_cls: 0.0573, s1.acc: 95.7404, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0854, s2.loss_cls: 0.0295, s2.acc: 95.5288, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0403, loss: 0.9196 2022-09-14 23:33:34,952 - mmdet - INFO - Epoch [24][1650/7330] lr: 1.000e-04, eta: 1 day, 11:44:27, time: 1.418, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1264, s0.acc: 95.4053, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1819, s1.loss_cls: 0.0587, s1.acc: 95.6613, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0864, s2.loss_cls: 0.0303, s2.acc: 95.4391, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0412, loss: 0.9374 2022-09-14 23:34:44,445 - mmdet - INFO - Epoch [24][1700/7330] lr: 1.000e-04, eta: 1 day, 11:43:19, time: 1.391, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1601, s0.loss_cls: 0.1291, s0.acc: 95.2231, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1853, s1.loss_cls: 0.0606, s1.acc: 95.5329, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0873, s2.loss_cls: 0.0316, s2.acc: 95.2254, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0411, loss: 0.9532 2022-09-14 23:35:52,702 - mmdet - INFO - Epoch [24][1750/7330] lr: 1.000e-04, eta: 1 day, 11:42:10, time: 1.365, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1628, s0.loss_cls: 0.1246, s0.acc: 95.4231, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1858, s1.loss_cls: 0.0594, s1.acc: 95.5917, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0878, s2.loss_cls: 0.0300, s2.acc: 95.4464, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0415, loss: 0.9464 2022-09-14 23:37:01,384 - mmdet - INFO - Epoch [24][1800/7330] lr: 1.000e-04, eta: 1 day, 11:41:01, time: 1.374, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1601, s0.loss_cls: 0.1281, s0.acc: 95.3271, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1844, s1.loss_cls: 0.0611, s1.acc: 95.5930, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0877, s2.loss_cls: 0.0313, s2.acc: 95.3364, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0411, loss: 0.9432 2022-09-14 23:38:09,572 - mmdet - INFO - Epoch [24][1850/7330] lr: 1.000e-04, eta: 1 day, 11:39:52, time: 1.364, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1222, s0.acc: 95.5381, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1827, s1.loss_cls: 0.0573, s1.acc: 95.8620, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0867, s2.loss_cls: 0.0296, s2.acc: 95.6299, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0410, loss: 0.9265 2022-09-14 23:39:18,563 - mmdet - INFO - Epoch [24][1900/7330] lr: 1.000e-04, eta: 1 day, 11:38:43, time: 1.377, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1138, s0.acc: 95.7988, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1814, s1.loss_cls: 0.0535, s1.acc: 96.0246, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0863, s2.loss_cls: 0.0278, s2.acc: 95.8255, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0409, loss: 0.8993 2022-09-14 23:40:27,167 - mmdet - INFO - Epoch [24][1950/7330] lr: 1.000e-04, eta: 1 day, 11:37:35, time: 1.375, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1632, s0.loss_cls: 0.1297, s0.acc: 95.2161, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1934, s1.loss_cls: 0.0619, s1.acc: 95.4477, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0916, s2.loss_cls: 0.0315, s2.acc: 95.2001, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0436, loss: 0.9609 2022-09-14 23:41:35,000 - mmdet - INFO - Epoch [24][2000/7330] lr: 1.000e-04, eta: 1 day, 11:36:25, time: 1.356, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1542, s0.loss_cls: 0.1176, s0.acc: 95.6287, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1782, s1.loss_cls: 0.0558, s1.acc: 95.8044, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0855, s2.loss_cls: 0.0288, s2.acc: 95.5990, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0407, loss: 0.8977 2022-09-14 23:42:42,807 - mmdet - INFO - Epoch [24][2050/7330] lr: 1.000e-04, eta: 1 day, 11:35:16, time: 1.356, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1555, s0.loss_cls: 0.1268, s0.acc: 95.3689, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1871, s1.loss_cls: 0.0602, s1.acc: 95.5900, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0890, s2.loss_cls: 0.0309, s2.acc: 95.4283, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0421, loss: 0.9505 2022-09-14 23:43:50,690 - mmdet - INFO - Epoch [24][2100/7330] lr: 1.000e-04, eta: 1 day, 11:34:07, time: 1.358, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1236, s0.acc: 95.4951, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1852, s1.loss_cls: 0.0584, s1.acc: 95.6842, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0873, s2.loss_cls: 0.0300, s2.acc: 95.5377, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0414, loss: 0.9346 2022-09-14 23:44:59,789 - mmdet - INFO - Epoch [24][2150/7330] lr: 1.000e-04, eta: 1 day, 11:32:59, time: 1.382, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1588, s0.loss_cls: 0.1297, s0.acc: 95.2344, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1851, s1.loss_cls: 0.0627, s1.acc: 95.4376, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0880, s2.loss_cls: 0.0320, s2.acc: 95.2726, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0414, loss: 0.9513 2022-09-14 23:46:09,091 - mmdet - INFO - Epoch [24][2200/7330] lr: 1.000e-04, eta: 1 day, 11:31:50, time: 1.386, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1193, s0.acc: 95.5466, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1851, s1.loss_cls: 0.0568, s1.acc: 95.7836, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0880, s2.loss_cls: 0.0292, s2.acc: 95.5631, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0419, loss: 0.9235 2022-09-14 23:47:17,070 - mmdet - INFO - Epoch [24][2250/7330] lr: 1.000e-04, eta: 1 day, 11:30:41, time: 1.360, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1169, s0.acc: 95.7231, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1773, s1.loss_cls: 0.0555, s1.acc: 95.9626, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0849, s2.loss_cls: 0.0285, s2.acc: 95.7511, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0404, loss: 0.9075 2022-09-14 23:48:26,918 - mmdet - INFO - Epoch [24][2300/7330] lr: 1.000e-04, eta: 1 day, 11:29:33, time: 1.396, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1575, s0.loss_cls: 0.1200, s0.acc: 95.5630, s0.loss_bbox: 0.0651, s0.loss_mask: 0.1767, s1.loss_cls: 0.0570, s1.acc: 95.8101, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0838, s2.loss_cls: 0.0291, s2.acc: 95.7207, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0395, loss: 0.8958 2022-09-14 23:49:34,990 - mmdet - INFO - Epoch [24][2350/7330] lr: 1.000e-04, eta: 1 day, 11:28:24, time: 1.362, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1234, s0.acc: 95.4077, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1855, s1.loss_cls: 0.0588, s1.acc: 95.6718, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0877, s2.loss_cls: 0.0304, s2.acc: 95.4048, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0413, loss: 0.9404 2022-09-14 23:50:42,539 - mmdet - INFO - Epoch [24][2400/7330] lr: 1.000e-04, eta: 1 day, 11:27:15, time: 1.351, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1703, s0.loss_cls: 0.1250, s0.acc: 95.3491, s0.loss_bbox: 0.0663, s0.loss_mask: 0.1739, s1.loss_cls: 0.0597, s1.acc: 95.5157, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0825, s2.loss_cls: 0.0303, s2.acc: 95.3845, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0389, loss: 0.9131 2022-09-14 23:51:50,659 - mmdet - INFO - Epoch [24][2450/7330] lr: 1.000e-04, eta: 1 day, 11:26:06, time: 1.362, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1704, s0.loss_cls: 0.1256, s0.acc: 95.4768, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1791, s1.loss_cls: 0.0586, s1.acc: 95.8288, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0853, s2.loss_cls: 0.0304, s2.acc: 95.6173, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0408, loss: 0.9310 2022-09-14 23:52:58,631 - mmdet - INFO - Epoch [24][2500/7330] lr: 1.000e-04, eta: 1 day, 11:24:57, time: 1.359, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1653, s0.loss_cls: 0.1261, s0.acc: 95.3513, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1835, s1.loss_cls: 0.0594, s1.acc: 95.6476, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0869, s2.loss_cls: 0.0308, s2.acc: 95.3973, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0410, loss: 0.9468 2022-09-14 23:54:07,361 - mmdet - INFO - Epoch [24][2550/7330] lr: 1.000e-04, eta: 1 day, 11:23:48, time: 1.375, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1247, s0.acc: 95.3455, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1834, s1.loss_cls: 0.0599, s1.acc: 95.6264, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0869, s2.loss_cls: 0.0305, s2.acc: 95.4891, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0411, loss: 0.9407 2022-09-14 23:55:16,536 - mmdet - INFO - Epoch [24][2600/7330] lr: 1.000e-04, eta: 1 day, 11:22:39, time: 1.383, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1196, s0.acc: 95.5735, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1800, s1.loss_cls: 0.0568, s1.acc: 95.8049, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0852, s2.loss_cls: 0.0293, s2.acc: 95.5971, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0405, loss: 0.9180 2022-09-14 23:56:23,826 - mmdet - INFO - Epoch [24][2650/7330] lr: 1.000e-04, eta: 1 day, 11:21:30, time: 1.346, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1221, s0.acc: 95.5073, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1848, s1.loss_cls: 0.0578, s1.acc: 95.7541, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0879, s2.loss_cls: 0.0293, s2.acc: 95.6014, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0417, loss: 0.9380 2022-09-14 23:57:32,107 - mmdet - INFO - Epoch [24][2700/7330] lr: 1.000e-04, eta: 1 day, 11:20:21, time: 1.364, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1734, s0.loss_cls: 0.1241, s0.acc: 95.4998, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1775, s1.loss_cls: 0.0588, s1.acc: 95.7403, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0847, s2.loss_cls: 0.0306, s2.acc: 95.5154, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0400, loss: 0.9306 2022-09-14 23:58:40,346 - mmdet - INFO - Epoch [24][2750/7330] lr: 1.000e-04, eta: 1 day, 11:19:12, time: 1.366, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1219, s0.acc: 95.5237, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1775, s1.loss_cls: 0.0577, s1.acc: 95.7847, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0838, s2.loss_cls: 0.0295, s2.acc: 95.6791, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0399, loss: 0.9195 2022-09-14 23:59:49,343 - mmdet - INFO - Epoch [24][2800/7330] lr: 1.000e-04, eta: 1 day, 11:18:04, time: 1.380, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1634, s0.loss_cls: 0.1237, s0.acc: 95.5327, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1808, s1.loss_cls: 0.0606, s1.acc: 95.6120, s1.loss_bbox: 0.0772, s1.loss_mask: 0.0857, s2.loss_cls: 0.0309, s2.acc: 95.3960, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0411, loss: 0.9247 2022-09-15 00:01:02,942 - mmdet - INFO - Epoch [24][2850/7330] lr: 1.000e-04, eta: 1 day, 11:16:57, time: 1.472, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1270, s0.acc: 95.2778, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1803, s1.loss_cls: 0.0594, s1.acc: 95.5936, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0855, s2.loss_cls: 0.0302, s2.acc: 95.4299, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0406, loss: 0.9360 2022-09-15 00:02:11,828 - mmdet - INFO - Epoch [24][2900/7330] lr: 1.000e-04, eta: 1 day, 11:15:49, time: 1.378, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1248, s0.acc: 95.4766, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1814, s1.loss_cls: 0.0598, s1.acc: 95.7035, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0864, s2.loss_cls: 0.0304, s2.acc: 95.4880, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0409, loss: 0.9315 2022-09-15 00:03:19,259 - mmdet - INFO - Epoch [24][2950/7330] lr: 1.000e-04, eta: 1 day, 11:14:39, time: 1.349, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1681, s0.loss_cls: 0.1278, s0.acc: 95.3997, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1833, s1.loss_cls: 0.0607, s1.acc: 95.6631, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0863, s2.loss_cls: 0.0313, s2.acc: 95.4183, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0409, loss: 0.9450 2022-09-15 00:04:28,143 - mmdet - INFO - Epoch [24][3000/7330] lr: 1.000e-04, eta: 1 day, 11:13:31, time: 1.376, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0267, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1293, s0.acc: 95.3320, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1869, s1.loss_cls: 0.0605, s1.acc: 95.6327, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0882, s2.loss_cls: 0.0308, s2.acc: 95.4445, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0415, loss: 0.9650 2022-09-15 00:05:36,250 - mmdet - INFO - Epoch [24][3050/7330] lr: 1.000e-04, eta: 1 day, 11:12:22, time: 1.363, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1576, s0.loss_cls: 0.1235, s0.acc: 95.5349, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1896, s1.loss_cls: 0.0597, s1.acc: 95.6744, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0903, s2.loss_cls: 0.0305, s2.acc: 95.4578, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0428, loss: 0.9397 2022-09-15 00:06:44,370 - mmdet - INFO - Epoch [24][3100/7330] lr: 1.000e-04, eta: 1 day, 11:11:13, time: 1.362, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1308, s0.acc: 95.2312, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1867, s1.loss_cls: 0.0622, s1.acc: 95.4472, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0880, s2.loss_cls: 0.0321, s2.acc: 95.2780, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0418, loss: 0.9601 2022-09-15 00:07:51,918 - mmdet - INFO - Epoch [24][3150/7330] lr: 1.000e-04, eta: 1 day, 11:10:03, time: 1.351, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1594, s0.loss_cls: 0.1234, s0.acc: 95.4182, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1877, s1.loss_cls: 0.0590, s1.acc: 95.6342, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0891, s2.loss_cls: 0.0303, s2.acc: 95.5528, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0419, loss: 0.9432 2022-09-15 00:09:00,448 - mmdet - INFO - Epoch [24][3200/7330] lr: 1.000e-04, eta: 1 day, 11:08:55, time: 1.370, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1640, s0.loss_cls: 0.1183, s0.acc: 95.6541, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1785, s1.loss_cls: 0.0551, s1.acc: 95.9376, s1.loss_bbox: 0.0771, s1.loss_mask: 0.0845, s2.loss_cls: 0.0291, s2.acc: 95.6273, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0402, loss: 0.9031 2022-09-15 00:10:08,448 - mmdet - INFO - Epoch [24][3250/7330] lr: 1.000e-04, eta: 1 day, 11:07:46, time: 1.360, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1587, s0.loss_cls: 0.1281, s0.acc: 95.2634, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1796, s1.loss_cls: 0.0612, s1.acc: 95.4763, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0848, s2.loss_cls: 0.0316, s2.acc: 95.2048, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0401, loss: 0.9314 2022-09-15 00:11:17,305 - mmdet - INFO - Epoch [24][3300/7330] lr: 1.000e-04, eta: 1 day, 11:06:37, time: 1.377, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1235, s0.acc: 95.4216, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1841, s1.loss_cls: 0.0575, s1.acc: 95.7906, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0867, s2.loss_cls: 0.0295, s2.acc: 95.6927, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0410, loss: 0.9318 2022-09-15 00:12:25,691 - mmdet - INFO - Epoch [24][3350/7330] lr: 1.000e-04, eta: 1 day, 11:05:28, time: 1.368, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1547, s0.loss_cls: 0.1234, s0.acc: 95.4353, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1809, s1.loss_cls: 0.0581, s1.acc: 95.7048, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0858, s2.loss_cls: 0.0300, s2.acc: 95.4646, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0408, loss: 0.9252 2022-09-15 00:13:33,526 - mmdet - INFO - Epoch [24][3400/7330] lr: 1.000e-04, eta: 1 day, 11:04:19, time: 1.357, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1194, s0.acc: 95.5991, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1839, s1.loss_cls: 0.0571, s1.acc: 95.7279, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0865, s2.loss_cls: 0.0296, s2.acc: 95.4907, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0409, loss: 0.9163 2022-09-15 00:14:41,295 - mmdet - INFO - Epoch [24][3450/7330] lr: 1.000e-04, eta: 1 day, 11:03:10, time: 1.355, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1282, s0.acc: 95.3279, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1811, s1.loss_cls: 0.0611, s1.acc: 95.5276, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0849, s2.loss_cls: 0.0311, s2.acc: 95.3451, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0402, loss: 0.9417 2022-09-15 00:15:49,474 - mmdet - INFO - Epoch [24][3500/7330] lr: 1.000e-04, eta: 1 day, 11:02:01, time: 1.364, data_time: 0.037, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1531, s0.loss_cls: 0.1208, s0.acc: 95.6284, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1780, s1.loss_cls: 0.0564, s1.acc: 95.9052, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0842, s2.loss_cls: 0.0291, s2.acc: 95.6853, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0400, loss: 0.8995 2022-09-15 00:16:56,781 - mmdet - INFO - Epoch [24][3550/7330] lr: 1.000e-04, eta: 1 day, 11:00:51, time: 1.346, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1633, s0.loss_cls: 0.1242, s0.acc: 95.3875, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1825, s1.loss_cls: 0.0595, s1.acc: 95.5402, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0867, s2.loss_cls: 0.0305, s2.acc: 95.3322, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0413, loss: 0.9370 2022-09-15 00:18:05,798 - mmdet - INFO - Epoch [24][3600/7330] lr: 1.000e-04, eta: 1 day, 10:59:43, time: 1.380, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1631, s0.loss_cls: 0.1245, s0.acc: 95.3975, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1863, s1.loss_cls: 0.0588, s1.acc: 95.6466, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0890, s2.loss_cls: 0.0305, s2.acc: 95.3402, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0424, loss: 0.9469 2022-09-15 00:19:15,160 - mmdet - INFO - Epoch [24][3650/7330] lr: 1.000e-04, eta: 1 day, 10:58:34, time: 1.388, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1275, s0.acc: 95.3291, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1876, s1.loss_cls: 0.0610, s1.acc: 95.5572, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0890, s2.loss_cls: 0.0316, s2.acc: 95.3424, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0423, loss: 0.9592 2022-09-15 00:20:24,405 - mmdet - INFO - Epoch [24][3700/7330] lr: 1.000e-04, eta: 1 day, 10:57:26, time: 1.385, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1272, s0.acc: 95.3755, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1860, s1.loss_cls: 0.0601, s1.acc: 95.6040, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0883, s2.loss_cls: 0.0309, s2.acc: 95.3817, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0419, loss: 0.9456 2022-09-15 00:21:32,631 - mmdet - INFO - Epoch [24][3750/7330] lr: 1.000e-04, eta: 1 day, 10:56:17, time: 1.362, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1616, s0.loss_cls: 0.1192, s0.acc: 95.6228, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1808, s1.loss_cls: 0.0578, s1.acc: 95.8289, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0852, s2.loss_cls: 0.0297, s2.acc: 95.5543, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0406, loss: 0.9099 2022-09-15 00:22:42,065 - mmdet - INFO - Epoch [24][3800/7330] lr: 1.000e-04, eta: 1 day, 10:55:09, time: 1.390, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1757, s0.loss_cls: 0.1255, s0.acc: 95.4014, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1840, s1.loss_cls: 0.0588, s1.acc: 95.6567, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0870, s2.loss_cls: 0.0303, s2.acc: 95.4664, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0411, loss: 0.9502 2022-09-15 00:23:51,221 - mmdet - INFO - Epoch [24][3850/7330] lr: 1.000e-04, eta: 1 day, 10:54:00, time: 1.384, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1247, s0.acc: 95.4441, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1841, s1.loss_cls: 0.0585, s1.acc: 95.7673, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0870, s2.loss_cls: 0.0302, s2.acc: 95.4540, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0411, loss: 0.9344 2022-09-15 00:24:59,490 - mmdet - INFO - Epoch [24][3900/7330] lr: 1.000e-04, eta: 1 day, 10:52:51, time: 1.365, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1255, s0.acc: 95.3406, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1857, s1.loss_cls: 0.0587, s1.acc: 95.5673, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0865, s2.loss_cls: 0.0306, s2.acc: 95.3318, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0408, loss: 0.9505 2022-09-15 00:26:07,478 - mmdet - INFO - Epoch [24][3950/7330] lr: 1.000e-04, eta: 1 day, 10:51:42, time: 1.360, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1227, s0.acc: 95.4333, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1834, s1.loss_cls: 0.0582, s1.acc: 95.6351, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0870, s2.loss_cls: 0.0306, s2.acc: 95.3766, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0413, loss: 0.9294 2022-09-15 00:27:15,069 - mmdet - INFO - Epoch [24][4000/7330] lr: 1.000e-04, eta: 1 day, 10:50:33, time: 1.350, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1573, s0.loss_cls: 0.1279, s0.acc: 95.2786, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1883, s1.loss_cls: 0.0607, s1.acc: 95.5230, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0885, s2.loss_cls: 0.0310, s2.acc: 95.3275, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0417, loss: 0.9502 2022-09-15 00:28:24,556 - mmdet - INFO - Epoch [24][4050/7330] lr: 1.000e-04, eta: 1 day, 10:49:25, time: 1.391, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1589, s0.loss_cls: 0.1175, s0.acc: 95.5811, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1877, s1.loss_cls: 0.0560, s1.acc: 95.8157, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0889, s2.loss_cls: 0.0286, s2.acc: 95.6141, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0421, loss: 0.9172 2022-09-15 00:29:33,491 - mmdet - INFO - Epoch [24][4100/7330] lr: 1.000e-04, eta: 1 day, 10:48:16, time: 1.378, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1343, s0.acc: 94.9333, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1807, s1.loss_cls: 0.0638, s1.acc: 95.1766, s1.loss_bbox: 0.0850, s1.loss_mask: 0.0862, s2.loss_cls: 0.0331, s2.acc: 94.9898, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0409, loss: 0.9626 2022-09-15 00:30:42,085 - mmdet - INFO - Epoch [24][4150/7330] lr: 1.000e-04, eta: 1 day, 10:47:07, time: 1.372, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1232, s0.acc: 95.4053, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1796, s1.loss_cls: 0.0589, s1.acc: 95.6743, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0853, s2.loss_cls: 0.0303, s2.acc: 95.4029, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0405, loss: 0.9268 2022-09-15 00:31:50,135 - mmdet - INFO - Epoch [24][4200/7330] lr: 1.000e-04, eta: 1 day, 10:45:58, time: 1.361, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1219, s0.acc: 95.5073, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1785, s1.loss_cls: 0.0580, s1.acc: 95.7252, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0851, s2.loss_cls: 0.0302, s2.acc: 95.5688, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0405, loss: 0.9177 2022-09-15 00:32:58,113 - mmdet - INFO - Epoch [24][4250/7330] lr: 1.000e-04, eta: 1 day, 10:44:49, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1570, s0.loss_cls: 0.1260, s0.acc: 95.3206, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1832, s1.loss_cls: 0.0606, s1.acc: 95.5835, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0868, s2.loss_cls: 0.0310, s2.acc: 95.3972, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0413, loss: 0.9331 2022-09-15 00:34:07,522 - mmdet - INFO - Epoch [24][4300/7330] lr: 1.000e-04, eta: 1 day, 10:43:41, time: 1.385, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1222, s0.acc: 95.5151, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1830, s1.loss_cls: 0.0589, s1.acc: 95.7011, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0865, s2.loss_cls: 0.0298, s2.acc: 95.5389, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0407, loss: 0.9315 2022-09-15 00:35:16,121 - mmdet - INFO - Epoch [24][4350/7330] lr: 1.000e-04, eta: 1 day, 10:42:32, time: 1.376, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1264, s0.acc: 95.3953, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1836, s1.loss_cls: 0.0599, s1.acc: 95.6499, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0869, s2.loss_cls: 0.0309, s2.acc: 95.4177, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0412, loss: 0.9360 2022-09-15 00:36:24,963 - mmdet - INFO - Epoch [24][4400/7330] lr: 1.000e-04, eta: 1 day, 10:41:24, time: 1.377, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1284, s0.acc: 95.3076, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1813, s1.loss_cls: 0.0612, s1.acc: 95.5085, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0862, s2.loss_cls: 0.0317, s2.acc: 95.2987, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0407, loss: 0.9525 2022-09-15 00:37:32,911 - mmdet - INFO - Epoch [24][4450/7330] lr: 1.000e-04, eta: 1 day, 10:40:14, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1284, s0.acc: 95.2456, s0.loss_bbox: 0.0726, s0.loss_mask: 0.1898, s1.loss_cls: 0.0605, s1.acc: 95.5382, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0903, s2.loss_cls: 0.0313, s2.acc: 95.3506, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0430, loss: 0.9738 2022-09-15 00:38:40,500 - mmdet - INFO - Epoch [24][4500/7330] lr: 1.000e-04, eta: 1 day, 10:39:05, time: 1.352, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1176, s0.acc: 95.6438, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1820, s1.loss_cls: 0.0553, s1.acc: 95.8923, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0869, s2.loss_cls: 0.0290, s2.acc: 95.6894, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0414, loss: 0.9188 2022-09-15 00:39:48,974 - mmdet - INFO - Epoch [24][4550/7330] lr: 1.000e-04, eta: 1 day, 10:37:56, time: 1.369, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1286, s0.acc: 95.2407, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1786, s1.loss_cls: 0.0612, s1.acc: 95.5041, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0847, s2.loss_cls: 0.0310, s2.acc: 95.4382, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0400, loss: 0.9426 2022-09-15 00:40:57,213 - mmdet - INFO - Epoch [24][4600/7330] lr: 1.000e-04, eta: 1 day, 10:36:47, time: 1.365, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1221, s0.acc: 95.5171, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1858, s1.loss_cls: 0.0575, s1.acc: 95.8008, s1.loss_bbox: 0.0824, s1.loss_mask: 0.0885, s2.loss_cls: 0.0296, s2.acc: 95.5283, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0417, loss: 0.9355 2022-09-15 00:42:06,294 - mmdet - INFO - Epoch [24][4650/7330] lr: 1.000e-04, eta: 1 day, 10:35:39, time: 1.382, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1606, s0.loss_cls: 0.1294, s0.acc: 95.3047, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1927, s1.loss_cls: 0.0620, s1.acc: 95.5355, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0919, s2.loss_cls: 0.0318, s2.acc: 95.3522, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0436, loss: 0.9658 2022-09-15 00:43:14,998 - mmdet - INFO - Epoch [24][4700/7330] lr: 1.000e-04, eta: 1 day, 10:34:30, time: 1.374, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1663, s0.loss_cls: 0.1252, s0.acc: 95.4429, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1880, s1.loss_cls: 0.0598, s1.acc: 95.6371, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0891, s2.loss_cls: 0.0309, s2.acc: 95.4544, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0422, loss: 0.9476 2022-09-15 00:44:23,984 - mmdet - INFO - Epoch [24][4750/7330] lr: 1.000e-04, eta: 1 day, 10:33:22, time: 1.380, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0281, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1316, s0.acc: 95.2271, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1833, s1.loss_cls: 0.0628, s1.acc: 95.4879, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0872, s2.loss_cls: 0.0320, s2.acc: 95.2683, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0416, loss: 0.9627 2022-09-15 00:45:32,723 - mmdet - INFO - Epoch [24][4800/7330] lr: 1.000e-04, eta: 1 day, 10:32:13, time: 1.375, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1695, s0.loss_cls: 0.1262, s0.acc: 95.3872, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1820, s1.loss_cls: 0.0597, s1.acc: 95.5871, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0866, s2.loss_cls: 0.0312, s2.acc: 95.3215, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0409, loss: 0.9390 2022-09-15 00:46:41,370 - mmdet - INFO - Epoch [24][4850/7330] lr: 1.000e-04, eta: 1 day, 10:31:04, time: 1.373, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1653, s0.loss_cls: 0.1204, s0.acc: 95.5278, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1832, s1.loss_cls: 0.0566, s1.acc: 95.7751, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0862, s2.loss_cls: 0.0291, s2.acc: 95.6096, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0407, loss: 0.9237 2022-09-15 00:47:50,024 - mmdet - INFO - Epoch [24][4900/7330] lr: 1.000e-04, eta: 1 day, 10:29:56, time: 1.373, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1598, s0.loss_cls: 0.1317, s0.acc: 95.1082, s0.loss_bbox: 0.0752, s0.loss_mask: 0.1874, s1.loss_cls: 0.0625, s1.acc: 95.2799, s1.loss_bbox: 0.0857, s1.loss_mask: 0.0886, s2.loss_cls: 0.0322, s2.acc: 95.1518, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0419, loss: 0.9629 2022-09-15 00:48:59,356 - mmdet - INFO - Epoch [24][4950/7330] lr: 1.000e-04, eta: 1 day, 10:28:47, time: 1.387, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1603, s0.loss_cls: 0.1275, s0.acc: 95.3723, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1872, s1.loss_cls: 0.0597, s1.acc: 95.6829, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0882, s2.loss_cls: 0.0302, s2.acc: 95.5155, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0420, loss: 0.9462 2022-09-15 00:50:08,534 - mmdet - INFO - Epoch [24][5000/7330] lr: 1.000e-04, eta: 1 day, 10:27:39, time: 1.384, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1266, s0.acc: 95.2834, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1868, s1.loss_cls: 0.0596, s1.acc: 95.6351, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0885, s2.loss_cls: 0.0305, s2.acc: 95.4222, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0418, loss: 0.9524 2022-09-15 00:51:16,896 - mmdet - INFO - Epoch [24][5050/7330] lr: 1.000e-04, eta: 1 day, 10:26:30, time: 1.367, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1730, s0.loss_cls: 0.1302, s0.acc: 95.3191, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1808, s1.loss_cls: 0.0620, s1.acc: 95.5558, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0847, s2.loss_cls: 0.0315, s2.acc: 95.3951, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0404, loss: 0.9500 2022-09-15 00:52:24,803 - mmdet - INFO - Epoch [24][5100/7330] lr: 1.000e-04, eta: 1 day, 10:25:21, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1692, s0.loss_cls: 0.1199, s0.acc: 95.6223, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1843, s1.loss_cls: 0.0565, s1.acc: 95.8605, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0866, s2.loss_cls: 0.0297, s2.acc: 95.5610, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0407, loss: 0.9218 2022-09-15 00:53:32,623 - mmdet - INFO - Epoch [24][5150/7330] lr: 1.000e-04, eta: 1 day, 10:24:12, time: 1.356, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1682, s0.loss_cls: 0.1216, s0.acc: 95.4946, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1834, s1.loss_cls: 0.0573, s1.acc: 95.7543, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0885, s2.loss_cls: 0.0296, s2.acc: 95.5726, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0415, loss: 0.9319 2022-09-15 00:54:40,955 - mmdet - INFO - Epoch [24][5200/7330] lr: 1.000e-04, eta: 1 day, 10:23:03, time: 1.365, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1188, s0.acc: 95.6047, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1829, s1.loss_cls: 0.0564, s1.acc: 95.8641, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0870, s2.loss_cls: 0.0292, s2.acc: 95.7028, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0416, loss: 0.9228 2022-09-15 00:55:48,419 - mmdet - INFO - Epoch [24][5250/7330] lr: 1.000e-04, eta: 1 day, 10:21:53, time: 1.351, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1682, s0.loss_cls: 0.1289, s0.acc: 95.2454, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1848, s1.loss_cls: 0.0609, s1.acc: 95.4935, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0876, s2.loss_cls: 0.0315, s2.acc: 95.2655, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0413, loss: 0.9604 2022-09-15 00:56:56,482 - mmdet - INFO - Epoch [24][5300/7330] lr: 1.000e-04, eta: 1 day, 10:20:44, time: 1.361, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1237, s0.acc: 95.4822, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1821, s1.loss_cls: 0.0583, s1.acc: 95.7643, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0864, s2.loss_cls: 0.0299, s2.acc: 95.6091, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0408, loss: 0.9312 2022-09-15 00:58:03,970 - mmdet - INFO - Epoch [24][5350/7330] lr: 1.000e-04, eta: 1 day, 10:19:35, time: 1.349, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1569, s0.loss_cls: 0.1209, s0.acc: 95.6221, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1788, s1.loss_cls: 0.0570, s1.acc: 95.8122, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0844, s2.loss_cls: 0.0295, s2.acc: 95.5523, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0398, loss: 0.9061 2022-09-15 00:59:11,522 - mmdet - INFO - Epoch [24][5400/7330] lr: 1.000e-04, eta: 1 day, 10:18:26, time: 1.351, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1182, s0.acc: 95.6768, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1816, s1.loss_cls: 0.0564, s1.acc: 95.8696, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0868, s2.loss_cls: 0.0295, s2.acc: 95.5643, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0408, loss: 0.9182 2022-09-15 01:00:19,892 - mmdet - INFO - Epoch [24][5450/7330] lr: 1.000e-04, eta: 1 day, 10:17:17, time: 1.368, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1610, s0.loss_cls: 0.1207, s0.acc: 95.4680, s0.loss_bbox: 0.0671, s0.loss_mask: 0.1805, s1.loss_cls: 0.0563, s1.acc: 95.7836, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0853, s2.loss_cls: 0.0291, s2.acc: 95.6370, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0406, loss: 0.9127 2022-09-15 01:01:27,833 - mmdet - INFO - Epoch [24][5500/7330] lr: 1.000e-04, eta: 1 day, 10:16:08, time: 1.359, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0277, loss_semantic_seg: 0.1642, s0.loss_cls: 0.1257, s0.acc: 95.3596, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1865, s1.loss_cls: 0.0595, s1.acc: 95.5871, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0881, s2.loss_cls: 0.0305, s2.acc: 95.3710, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0415, loss: 0.9520 2022-09-15 01:02:36,760 - mmdet - INFO - Epoch [24][5550/7330] lr: 1.000e-04, eta: 1 day, 10:14:59, time: 1.379, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1264, s0.acc: 95.3186, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1857, s1.loss_cls: 0.0605, s1.acc: 95.5089, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0881, s2.loss_cls: 0.0308, s2.acc: 95.3706, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0419, loss: 0.9474 2022-09-15 01:03:44,741 - mmdet - INFO - Epoch [24][5600/7330] lr: 1.000e-04, eta: 1 day, 10:13:50, time: 1.360, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1568, s0.loss_cls: 0.1214, s0.acc: 95.5508, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1817, s1.loss_cls: 0.0573, s1.acc: 95.8164, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0862, s2.loss_cls: 0.0296, s2.acc: 95.5157, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0411, loss: 0.9184 2022-09-15 01:04:53,559 - mmdet - INFO - Epoch [24][5650/7330] lr: 1.000e-04, eta: 1 day, 10:12:41, time: 1.376, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1726, s0.loss_cls: 0.1255, s0.acc: 95.4978, s0.loss_bbox: 0.0664, s0.loss_mask: 0.1798, s1.loss_cls: 0.0592, s1.acc: 95.7491, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0849, s2.loss_cls: 0.0298, s2.acc: 95.5835, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0400, loss: 0.9256 2022-09-15 01:06:01,934 - mmdet - INFO - Epoch [24][5700/7330] lr: 1.000e-04, eta: 1 day, 10:11:33, time: 1.368, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1200, s0.acc: 95.5640, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1857, s1.loss_cls: 0.0571, s1.acc: 95.7858, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0872, s2.loss_cls: 0.0300, s2.acc: 95.5423, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0413, loss: 0.9234 2022-09-15 01:07:10,870 - mmdet - INFO - Epoch [24][5750/7330] lr: 1.000e-04, eta: 1 day, 10:10:24, time: 1.379, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1227, s0.acc: 95.4968, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1804, s1.loss_cls: 0.0589, s1.acc: 95.6954, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0860, s2.loss_cls: 0.0302, s2.acc: 95.4770, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0405, loss: 0.9315 2022-09-15 01:08:19,480 - mmdet - INFO - Epoch [24][5800/7330] lr: 1.000e-04, eta: 1 day, 10:09:15, time: 1.372, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1702, s0.loss_cls: 0.1199, s0.acc: 95.6057, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1792, s1.loss_cls: 0.0569, s1.acc: 95.8460, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0847, s2.loss_cls: 0.0290, s2.acc: 95.6923, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0399, loss: 0.9134 2022-09-15 01:09:28,722 - mmdet - INFO - Epoch [24][5850/7330] lr: 1.000e-04, eta: 1 day, 10:08:07, time: 1.385, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1672, s0.loss_cls: 0.1255, s0.acc: 95.4106, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1881, s1.loss_cls: 0.0583, s1.acc: 95.7813, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0885, s2.loss_cls: 0.0296, s2.acc: 95.5511, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0419, loss: 0.9509 2022-09-15 01:10:36,362 - mmdet - INFO - Epoch [24][5900/7330] lr: 1.000e-04, eta: 1 day, 10:06:58, time: 1.353, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1634, s0.loss_cls: 0.1228, s0.acc: 95.5073, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1841, s1.loss_cls: 0.0569, s1.acc: 95.8684, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0883, s2.loss_cls: 0.0294, s2.acc: 95.6477, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0412, loss: 0.9302 2022-09-15 01:11:44,014 - mmdet - INFO - Epoch [24][5950/7330] lr: 1.000e-04, eta: 1 day, 10:05:48, time: 1.353, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1633, s0.loss_cls: 0.1188, s0.acc: 95.5674, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1802, s1.loss_cls: 0.0569, s1.acc: 95.8004, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0859, s2.loss_cls: 0.0296, s2.acc: 95.5370, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0406, loss: 0.9170 2022-09-15 01:12:51,844 - mmdet - INFO - Epoch [24][6000/7330] lr: 1.000e-04, eta: 1 day, 10:04:39, time: 1.356, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1628, s0.loss_cls: 0.1175, s0.acc: 95.6240, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1837, s1.loss_cls: 0.0559, s1.acc: 95.8507, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0873, s2.loss_cls: 0.0292, s2.acc: 95.5785, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0412, loss: 0.9216 2022-09-15 01:14:00,167 - mmdet - INFO - Epoch [24][6050/7330] lr: 1.000e-04, eta: 1 day, 10:03:30, time: 1.366, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1261, s0.acc: 95.3252, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1837, s1.loss_cls: 0.0595, s1.acc: 95.5925, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0875, s2.loss_cls: 0.0307, s2.acc: 95.3989, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0414, loss: 0.9448 2022-09-15 01:15:09,636 - mmdet - INFO - Epoch [24][6100/7330] lr: 1.000e-04, eta: 1 day, 10:02:22, time: 1.389, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0272, loss_semantic_seg: 0.1707, s0.loss_cls: 0.1246, s0.acc: 95.3560, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1853, s1.loss_cls: 0.0580, s1.acc: 95.5898, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0880, s2.loss_cls: 0.0298, s2.acc: 95.3955, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0416, loss: 0.9457 2022-09-15 01:16:17,962 - mmdet - INFO - Epoch [24][6150/7330] lr: 1.000e-04, eta: 1 day, 10:01:13, time: 1.367, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1138, s0.acc: 95.7554, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1824, s1.loss_cls: 0.0533, s1.acc: 96.0890, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0869, s2.loss_cls: 0.0279, s2.acc: 95.8193, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0416, loss: 0.9041 2022-09-15 01:17:25,973 - mmdet - INFO - Epoch [24][6200/7330] lr: 1.000e-04, eta: 1 day, 10:00:04, time: 1.360, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1743, s0.loss_cls: 0.1266, s0.acc: 95.3755, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1901, s1.loss_cls: 0.0608, s1.acc: 95.6368, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0901, s2.loss_cls: 0.0314, s2.acc: 95.3655, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0427, loss: 0.9562 2022-09-15 01:18:34,543 - mmdet - INFO - Epoch [24][6250/7330] lr: 1.000e-04, eta: 1 day, 9:58:55, time: 1.371, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1703, s0.loss_cls: 0.1225, s0.acc: 95.4924, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1842, s1.loss_cls: 0.0575, s1.acc: 95.7403, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0872, s2.loss_cls: 0.0298, s2.acc: 95.5024, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0414, loss: 0.9455 2022-09-15 01:19:42,838 - mmdet - INFO - Epoch [24][6300/7330] lr: 1.000e-04, eta: 1 day, 9:57:46, time: 1.366, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1590, s0.loss_cls: 0.1246, s0.acc: 95.4900, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1805, s1.loss_cls: 0.0585, s1.acc: 95.7966, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0856, s2.loss_cls: 0.0303, s2.acc: 95.5556, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0407, loss: 0.9210 2022-09-15 01:20:50,026 - mmdet - INFO - Epoch [24][6350/7330] lr: 1.000e-04, eta: 1 day, 9:56:37, time: 1.344, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1229, s0.acc: 95.4255, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1855, s1.loss_cls: 0.0590, s1.acc: 95.6770, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0872, s2.loss_cls: 0.0304, s2.acc: 95.4482, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0415, loss: 0.9465 2022-09-15 01:21:59,123 - mmdet - INFO - Epoch [24][6400/7330] lr: 1.000e-04, eta: 1 day, 9:55:28, time: 1.382, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1747, s0.loss_cls: 0.1267, s0.acc: 95.3147, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1838, s1.loss_cls: 0.0599, s1.acc: 95.5657, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0871, s2.loss_cls: 0.0309, s2.acc: 95.2874, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0412, loss: 0.9535 2022-09-15 01:23:07,663 - mmdet - INFO - Epoch [24][6450/7330] lr: 1.000e-04, eta: 1 day, 9:54:20, time: 1.371, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1203, s0.acc: 95.5488, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1848, s1.loss_cls: 0.0564, s1.acc: 95.8256, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0872, s2.loss_cls: 0.0292, s2.acc: 95.5504, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0412, loss: 0.9302 2022-09-15 01:24:15,974 - mmdet - INFO - Epoch [24][6500/7330] lr: 1.000e-04, eta: 1 day, 9:53:11, time: 1.366, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1581, s0.loss_cls: 0.1200, s0.acc: 95.5798, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1820, s1.loss_cls: 0.0567, s1.acc: 95.8266, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0867, s2.loss_cls: 0.0294, s2.acc: 95.5928, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0412, loss: 0.9128 2022-09-15 01:25:24,427 - mmdet - INFO - Epoch [24][6550/7330] lr: 1.000e-04, eta: 1 day, 9:52:02, time: 1.369, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1267, s0.acc: 95.2839, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1852, s1.loss_cls: 0.0603, s1.acc: 95.5287, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0888, s2.loss_cls: 0.0312, s2.acc: 95.2991, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0420, loss: 0.9507 2022-09-15 01:26:32,814 - mmdet - INFO - Epoch [24][6600/7330] lr: 1.000e-04, eta: 1 day, 9:50:53, time: 1.368, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0274, loss_semantic_seg: 0.1677, s0.loss_cls: 0.1250, s0.acc: 95.3875, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1850, s1.loss_cls: 0.0592, s1.acc: 95.6095, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0865, s2.loss_cls: 0.0307, s2.acc: 95.3632, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0409, loss: 0.9456 2022-09-15 01:27:40,696 - mmdet - INFO - Epoch [24][6650/7330] lr: 1.000e-04, eta: 1 day, 9:49:44, time: 1.358, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1572, s0.loss_cls: 0.1234, s0.acc: 95.4526, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1848, s1.loss_cls: 0.0587, s1.acc: 95.5926, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0871, s2.loss_cls: 0.0301, s2.acc: 95.4210, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0408, loss: 0.9272 2022-09-15 01:28:48,135 - mmdet - INFO - Epoch [24][6700/7330] lr: 1.000e-04, eta: 1 day, 9:48:35, time: 1.348, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1626, s0.loss_cls: 0.1238, s0.acc: 95.4277, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1880, s1.loss_cls: 0.0599, s1.acc: 95.5688, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0890, s2.loss_cls: 0.0307, s2.acc: 95.4021, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0423, loss: 0.9468 2022-09-15 01:29:57,184 - mmdet - INFO - Epoch [24][6750/7330] lr: 1.000e-04, eta: 1 day, 9:47:26, time: 1.381, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1202, s0.acc: 95.6064, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1797, s1.loss_cls: 0.0562, s1.acc: 95.8421, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0853, s2.loss_cls: 0.0288, s2.acc: 95.6966, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0407, loss: 0.9112 2022-09-15 01:31:06,766 - mmdet - INFO - Epoch [24][6800/7330] lr: 1.000e-04, eta: 1 day, 9:46:18, time: 1.390, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1563, s0.loss_cls: 0.1263, s0.acc: 95.3967, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1845, s1.loss_cls: 0.0600, s1.acc: 95.6289, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0871, s2.loss_cls: 0.0305, s2.acc: 95.4998, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0411, loss: 0.9309 2022-09-15 01:32:15,235 - mmdet - INFO - Epoch [24][6850/7330] lr: 1.000e-04, eta: 1 day, 9:45:09, time: 1.371, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1610, s0.loss_cls: 0.1228, s0.acc: 95.5144, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1785, s1.loss_cls: 0.0584, s1.acc: 95.7005, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0844, s2.loss_cls: 0.0301, s2.acc: 95.4779, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0395, loss: 0.9178 2022-09-15 01:33:23,116 - mmdet - INFO - Epoch [24][6900/7330] lr: 1.000e-04, eta: 1 day, 9:44:00, time: 1.358, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1687, s0.loss_cls: 0.1223, s0.acc: 95.4771, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1856, s1.loss_cls: 0.0578, s1.acc: 95.7118, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0873, s2.loss_cls: 0.0292, s2.acc: 95.5096, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0416, loss: 0.9393 2022-09-15 01:34:30,641 - mmdet - INFO - Epoch [24][6950/7330] lr: 1.000e-04, eta: 1 day, 9:42:51, time: 1.351, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1280, s0.acc: 95.3674, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1856, s1.loss_cls: 0.0607, s1.acc: 95.6133, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0884, s2.loss_cls: 0.0312, s2.acc: 95.3530, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0419, loss: 0.9593 2022-09-15 01:35:39,359 - mmdet - INFO - Epoch [24][7000/7330] lr: 1.000e-04, eta: 1 day, 9:41:42, time: 1.374, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1285, s0.acc: 95.3291, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1862, s1.loss_cls: 0.0603, s1.acc: 95.6008, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0873, s2.loss_cls: 0.0314, s2.acc: 95.3621, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0413, loss: 0.9550 2022-09-15 01:36:48,132 - mmdet - INFO - Epoch [24][7050/7330] lr: 1.000e-04, eta: 1 day, 9:40:33, time: 1.376, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1601, s0.loss_cls: 0.1255, s0.acc: 95.3804, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1857, s1.loss_cls: 0.0613, s1.acc: 95.4429, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0881, s2.loss_cls: 0.0318, s2.acc: 95.2153, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0413, loss: 0.9437 2022-09-15 01:37:56,279 - mmdet - INFO - Epoch [24][7100/7330] lr: 1.000e-04, eta: 1 day, 9:39:24, time: 1.363, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1222, s0.acc: 95.5923, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1808, s1.loss_cls: 0.0582, s1.acc: 95.8126, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0853, s2.loss_cls: 0.0297, s2.acc: 95.6665, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0403, loss: 0.9231 2022-09-15 01:39:03,974 - mmdet - INFO - Epoch [24][7150/7330] lr: 1.000e-04, eta: 1 day, 9:38:15, time: 1.354, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1214, s0.acc: 95.5107, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1805, s1.loss_cls: 0.0573, s1.acc: 95.7463, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0847, s2.loss_cls: 0.0295, s2.acc: 95.5713, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0402, loss: 0.9164 2022-09-15 01:40:13,045 - mmdet - INFO - Epoch [24][7200/7330] lr: 1.000e-04, eta: 1 day, 9:37:07, time: 1.381, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1223, s0.acc: 95.4756, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1892, s1.loss_cls: 0.0584, s1.acc: 95.7260, s1.loss_bbox: 0.0836, s1.loss_mask: 0.0899, s2.loss_cls: 0.0304, s2.acc: 95.5926, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0425, loss: 0.9526 2022-09-15 01:41:21,060 - mmdet - INFO - Epoch [24][7250/7330] lr: 1.000e-04, eta: 1 day, 9:35:58, time: 1.360, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1271, s0.acc: 95.4312, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1821, s1.loss_cls: 0.0604, s1.acc: 95.6472, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0867, s2.loss_cls: 0.0310, s2.acc: 95.3643, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0410, loss: 0.9372 2022-09-15 01:42:31,027 - mmdet - INFO - Epoch [24][7300/7330] lr: 1.000e-04, eta: 1 day, 9:34:50, time: 1.400, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1595, s0.loss_cls: 0.1209, s0.acc: 95.4963, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1793, s1.loss_cls: 0.0578, s1.acc: 95.6677, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0853, s2.loss_cls: 0.0298, s2.acc: 95.5259, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0402, loss: 0.9126 2022-09-15 01:43:21,221 - mmdet - INFO - Saving checkpoint at 24 epochs 2022-09-15 01:46:46,739 - mmdet - INFO - Evaluating bbox... 2022-09-15 01:47:48,527 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.571 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.759 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.630 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.431 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.606 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.702 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.738 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.738 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.738 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.602 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.773 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.868 2022-09-15 01:47:48,528 - mmdet - INFO - Evaluating segm... 2022-09-15 01:49:01,567 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.497 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.738 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.546 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.321 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.530 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.677 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.644 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.644 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.644 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.503 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.675 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.789 2022-09-15 01:49:02,669 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 01:49:02,672 - mmdet - INFO - Epoch(val) [24][313] bbox_mAP: 0.5710, bbox_mAP_50: 0.7590, bbox_mAP_75: 0.6300, bbox_mAP_s: 0.4310, bbox_mAP_m: 0.6060, bbox_mAP_l: 0.7020, bbox_mAP_copypaste: 0.571 0.759 0.630 0.431 0.606 0.702, segm_mAP: 0.4970, segm_mAP_50: 0.7380, segm_mAP_75: 0.5460, segm_mAP_s: 0.3210, segm_mAP_m: 0.5300, segm_mAP_l: 0.6770, segm_mAP_copypaste: 0.497 0.738 0.546 0.321 0.530 0.677 2022-09-15 01:52:13,261 - mmdet - INFO - Epoch [25][50/7330] lr: 1.000e-04, eta: 1 day, 9:33:40, time: 3.811, data_time: 2.415, memory: 64764, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1640, s0.loss_cls: 0.1236, s0.acc: 95.4832, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1859, s1.loss_cls: 0.0582, s1.acc: 95.7295, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0878, s2.loss_cls: 0.0297, s2.acc: 95.5653, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0419, loss: 0.9418 2022-09-15 01:53:21,885 - mmdet - INFO - Epoch [25][100/7330] lr: 1.000e-04, eta: 1 day, 9:32:31, time: 1.373, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1605, s0.loss_cls: 0.1203, s0.acc: 95.6208, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1828, s1.loss_cls: 0.0563, s1.acc: 95.8072, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0874, s2.loss_cls: 0.0297, s2.acc: 95.5278, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0416, loss: 0.9244 2022-09-15 01:54:30,522 - mmdet - INFO - Epoch [25][150/7330] lr: 1.000e-04, eta: 1 day, 9:31:22, time: 1.373, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1633, s0.loss_cls: 0.1197, s0.acc: 95.5940, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1839, s1.loss_cls: 0.0572, s1.acc: 95.7804, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0869, s2.loss_cls: 0.0295, s2.acc: 95.6414, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0411, loss: 0.9232 2022-09-15 01:55:39,342 - mmdet - INFO - Epoch [25][200/7330] lr: 1.000e-04, eta: 1 day, 9:30:14, time: 1.376, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1632, s0.loss_cls: 0.1220, s0.acc: 95.4529, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1815, s1.loss_cls: 0.0576, s1.acc: 95.7056, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0862, s2.loss_cls: 0.0298, s2.acc: 95.5507, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0410, loss: 0.9308 2022-09-15 01:56:48,490 - mmdet - INFO - Epoch [25][250/7330] lr: 1.000e-04, eta: 1 day, 9:29:05, time: 1.383, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1632, s0.loss_cls: 0.1241, s0.acc: 95.4104, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1798, s1.loss_cls: 0.0584, s1.acc: 95.7239, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0852, s2.loss_cls: 0.0302, s2.acc: 95.4833, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0402, loss: 0.9282 2022-09-15 01:57:57,001 - mmdet - INFO - Epoch [25][300/7330] lr: 1.000e-04, eta: 1 day, 9:27:56, time: 1.370, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1538, s0.loss_cls: 0.1185, s0.acc: 95.6489, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1833, s1.loss_cls: 0.0558, s1.acc: 95.8916, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0875, s2.loss_cls: 0.0293, s2.acc: 95.6004, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0414, loss: 0.9097 2022-09-15 01:59:06,192 - mmdet - INFO - Epoch [25][350/7330] lr: 1.000e-04, eta: 1 day, 9:26:48, time: 1.384, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1640, s0.loss_cls: 0.1213, s0.acc: 95.4580, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1884, s1.loss_cls: 0.0571, s1.acc: 95.6820, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0890, s2.loss_cls: 0.0294, s2.acc: 95.4536, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0422, loss: 0.9315 2022-09-15 02:00:17,810 - mmdet - INFO - Epoch [25][400/7330] lr: 1.000e-04, eta: 1 day, 9:25:41, time: 1.430, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1527, s0.loss_cls: 0.1202, s0.acc: 95.5903, s0.loss_bbox: 0.0664, s0.loss_mask: 0.1805, s1.loss_cls: 0.0577, s1.acc: 95.7617, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0867, s2.loss_cls: 0.0302, s2.acc: 95.4864, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0405, loss: 0.9076 2022-09-15 02:01:26,367 - mmdet - INFO - Epoch [25][450/7330] lr: 1.000e-04, eta: 1 day, 9:24:32, time: 1.373, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1532, s0.loss_cls: 0.1192, s0.acc: 95.5874, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1780, s1.loss_cls: 0.0563, s1.acc: 95.8485, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0857, s2.loss_cls: 0.0289, s2.acc: 95.6294, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0406, loss: 0.9067 2022-09-15 02:02:34,578 - mmdet - INFO - Epoch [25][500/7330] lr: 1.000e-04, eta: 1 day, 9:23:23, time: 1.364, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1579, s0.loss_cls: 0.1237, s0.acc: 95.4395, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1851, s1.loss_cls: 0.0591, s1.acc: 95.6588, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0879, s2.loss_cls: 0.0307, s2.acc: 95.4083, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0418, loss: 0.9274 2022-09-15 02:03:43,481 - mmdet - INFO - Epoch [25][550/7330] lr: 1.000e-04, eta: 1 day, 9:22:14, time: 1.378, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1268, s0.acc: 95.3374, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1844, s1.loss_cls: 0.0597, s1.acc: 95.6249, s1.loss_bbox: 0.0849, s1.loss_mask: 0.0880, s2.loss_cls: 0.0310, s2.acc: 95.3866, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0417, loss: 0.9484 2022-09-15 02:04:51,666 - mmdet - INFO - Epoch [25][600/7330] lr: 1.000e-04, eta: 1 day, 9:21:05, time: 1.364, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1571, s0.loss_cls: 0.1236, s0.acc: 95.4656, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1837, s1.loss_cls: 0.0580, s1.acc: 95.7913, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0876, s2.loss_cls: 0.0299, s2.acc: 95.5740, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0415, loss: 0.9285 2022-09-15 02:05:59,215 - mmdet - INFO - Epoch [25][650/7330] lr: 1.000e-04, eta: 1 day, 9:19:56, time: 1.351, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1207, s0.acc: 95.5693, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1851, s1.loss_cls: 0.0573, s1.acc: 95.8100, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0885, s2.loss_cls: 0.0294, s2.acc: 95.6636, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0421, loss: 0.9273 2022-09-15 02:07:07,013 - mmdet - INFO - Epoch [25][700/7330] lr: 1.000e-04, eta: 1 day, 9:18:47, time: 1.356, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1203, s0.acc: 95.5193, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1800, s1.loss_cls: 0.0575, s1.acc: 95.6712, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0852, s2.loss_cls: 0.0296, s2.acc: 95.5331, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0404, loss: 0.9189 2022-09-15 02:08:15,984 - mmdet - INFO - Epoch [25][750/7330] lr: 1.000e-04, eta: 1 day, 9:17:38, time: 1.378, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1242, s0.acc: 95.4082, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1884, s1.loss_cls: 0.0587, s1.acc: 95.6805, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0896, s2.loss_cls: 0.0304, s2.acc: 95.3667, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0425, loss: 0.9511 2022-09-15 02:09:23,907 - mmdet - INFO - Epoch [25][800/7330] lr: 1.000e-04, eta: 1 day, 9:16:29, time: 1.360, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1538, s0.loss_cls: 0.1159, s0.acc: 95.7349, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1786, s1.loss_cls: 0.0550, s1.acc: 95.9485, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0855, s2.loss_cls: 0.0285, s2.acc: 95.8131, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0406, loss: 0.8929 2022-09-15 02:10:32,048 - mmdet - INFO - Epoch [25][850/7330] lr: 1.000e-04, eta: 1 day, 9:15:20, time: 1.363, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1559, s0.loss_cls: 0.1249, s0.acc: 95.4126, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1795, s1.loss_cls: 0.0600, s1.acc: 95.5912, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0845, s2.loss_cls: 0.0304, s2.acc: 95.5137, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0397, loss: 0.9275 2022-09-15 02:11:39,301 - mmdet - INFO - Epoch [25][900/7330] lr: 1.000e-04, eta: 1 day, 9:14:11, time: 1.345, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1618, s0.loss_cls: 0.1235, s0.acc: 95.4744, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1853, s1.loss_cls: 0.0588, s1.acc: 95.7251, s1.loss_bbox: 0.0840, s1.loss_mask: 0.0877, s2.loss_cls: 0.0302, s2.acc: 95.5570, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0417, loss: 0.9416 2022-09-15 02:12:48,203 - mmdet - INFO - Epoch [25][950/7330] lr: 1.000e-04, eta: 1 day, 9:13:02, time: 1.378, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1625, s0.loss_cls: 0.1199, s0.acc: 95.6191, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1840, s1.loss_cls: 0.0577, s1.acc: 95.7572, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0855, s2.loss_cls: 0.0300, s2.acc: 95.5015, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0404, loss: 0.9255 2022-09-15 02:13:56,236 - mmdet - INFO - Epoch [25][1000/7330] lr: 1.000e-04, eta: 1 day, 9:11:53, time: 1.361, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1663, s0.loss_cls: 0.1210, s0.acc: 95.4861, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1831, s1.loss_cls: 0.0587, s1.acc: 95.6977, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0863, s2.loss_cls: 0.0302, s2.acc: 95.4863, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0412, loss: 0.9316 2022-09-15 02:15:04,533 - mmdet - INFO - Epoch [25][1050/7330] lr: 1.000e-04, eta: 1 day, 9:10:44, time: 1.366, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1653, s0.loss_cls: 0.1247, s0.acc: 95.4285, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1828, s1.loss_cls: 0.0594, s1.acc: 95.7189, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0865, s2.loss_cls: 0.0304, s2.acc: 95.4671, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0412, loss: 0.9363 2022-09-15 02:16:13,854 - mmdet - INFO - Epoch [25][1100/7330] lr: 1.000e-04, eta: 1 day, 9:09:36, time: 1.386, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1676, s0.loss_cls: 0.1272, s0.acc: 95.3374, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1822, s1.loss_cls: 0.0604, s1.acc: 95.6279, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0863, s2.loss_cls: 0.0311, s2.acc: 95.4512, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0410, loss: 0.9441 2022-09-15 02:17:21,935 - mmdet - INFO - Epoch [25][1150/7330] lr: 1.000e-04, eta: 1 day, 9:08:27, time: 1.362, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1634, s0.loss_cls: 0.1326, s0.acc: 95.1746, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1861, s1.loss_cls: 0.0631, s1.acc: 95.3975, s1.loss_bbox: 0.0844, s1.loss_mask: 0.0888, s2.loss_cls: 0.0316, s2.acc: 95.3075, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0424, loss: 0.9694 2022-09-15 02:18:30,617 - mmdet - INFO - Epoch [25][1200/7330] lr: 1.000e-04, eta: 1 day, 9:07:18, time: 1.374, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1259, s0.acc: 95.3276, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1816, s1.loss_cls: 0.0598, s1.acc: 95.5340, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0855, s2.loss_cls: 0.0309, s2.acc: 95.3381, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0402, loss: 0.9414 2022-09-15 02:19:38,542 - mmdet - INFO - Epoch [25][1250/7330] lr: 1.000e-04, eta: 1 day, 9:06:09, time: 1.359, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1600, s0.loss_cls: 0.1233, s0.acc: 95.4719, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1869, s1.loss_cls: 0.0584, s1.acc: 95.6849, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0881, s2.loss_cls: 0.0298, s2.acc: 95.5359, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0415, loss: 0.9340 2022-09-15 02:20:47,321 - mmdet - INFO - Epoch [25][1300/7330] lr: 1.000e-04, eta: 1 day, 9:05:00, time: 1.375, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1259, s0.acc: 95.3464, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1785, s1.loss_cls: 0.0598, s1.acc: 95.6038, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0849, s2.loss_cls: 0.0306, s2.acc: 95.3208, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0401, loss: 0.9269 2022-09-15 02:21:55,079 - mmdet - INFO - Epoch [25][1350/7330] lr: 1.000e-04, eta: 1 day, 9:03:51, time: 1.355, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1703, s0.loss_cls: 0.1203, s0.acc: 95.5847, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1780, s1.loss_cls: 0.0564, s1.acc: 95.8581, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0846, s2.loss_cls: 0.0294, s2.acc: 95.6032, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0402, loss: 0.9135 2022-09-15 02:23:03,168 - mmdet - INFO - Epoch [25][1400/7330] lr: 1.000e-04, eta: 1 day, 9:02:42, time: 1.362, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1600, s0.loss_cls: 0.1205, s0.acc: 95.5215, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1844, s1.loss_cls: 0.0572, s1.acc: 95.8135, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0880, s2.loss_cls: 0.0298, s2.acc: 95.4975, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0421, loss: 0.9246 2022-09-15 02:24:11,123 - mmdet - INFO - Epoch [25][1450/7330] lr: 1.000e-04, eta: 1 day, 9:01:33, time: 1.359, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1669, s0.loss_cls: 0.1167, s0.acc: 95.7314, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1819, s1.loss_cls: 0.0550, s1.acc: 96.0657, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0872, s2.loss_cls: 0.0286, s2.acc: 95.8199, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0414, loss: 0.9178 2022-09-15 02:25:18,644 - mmdet - INFO - Epoch [25][1500/7330] lr: 1.000e-04, eta: 1 day, 9:00:23, time: 1.349, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1266, s0.acc: 95.2957, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1840, s1.loss_cls: 0.0598, s1.acc: 95.6171, s1.loss_bbox: 0.0860, s1.loss_mask: 0.0872, s2.loss_cls: 0.0314, s2.acc: 95.3030, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0413, loss: 0.9517 2022-09-15 02:26:26,910 - mmdet - INFO - Epoch [25][1550/7330] lr: 1.000e-04, eta: 1 day, 8:59:15, time: 1.365, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1676, s0.loss_cls: 0.1255, s0.acc: 95.4075, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1846, s1.loss_cls: 0.0592, s1.acc: 95.6342, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0876, s2.loss_cls: 0.0301, s2.acc: 95.4978, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0417, loss: 0.9459 2022-09-15 02:27:35,496 - mmdet - INFO - Epoch [25][1600/7330] lr: 1.000e-04, eta: 1 day, 8:58:06, time: 1.374, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1625, s0.loss_cls: 0.1243, s0.acc: 95.4453, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1829, s1.loss_cls: 0.0589, s1.acc: 95.6644, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0866, s2.loss_cls: 0.0304, s2.acc: 95.4402, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0410, loss: 0.9383 2022-09-15 02:28:44,784 - mmdet - INFO - Epoch [25][1650/7330] lr: 1.000e-04, eta: 1 day, 8:56:57, time: 1.386, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1706, s0.loss_cls: 0.1305, s0.acc: 95.2656, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1829, s1.loss_cls: 0.0628, s1.acc: 95.4283, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0857, s2.loss_cls: 0.0325, s2.acc: 95.1793, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0406, loss: 0.9532 2022-09-15 02:29:53,469 - mmdet - INFO - Epoch [25][1700/7330] lr: 1.000e-04, eta: 1 day, 8:55:49, time: 1.372, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1276, s0.acc: 95.4133, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1776, s1.loss_cls: 0.0606, s1.acc: 95.6161, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0842, s2.loss_cls: 0.0315, s2.acc: 95.4469, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0401, loss: 0.9298 2022-09-15 02:31:02,203 - mmdet - INFO - Epoch [25][1750/7330] lr: 1.000e-04, eta: 1 day, 8:54:40, time: 1.376, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1659, s0.loss_cls: 0.1243, s0.acc: 95.4236, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1785, s1.loss_cls: 0.0587, s1.acc: 95.5903, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0844, s2.loss_cls: 0.0303, s2.acc: 95.4130, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0396, loss: 0.9261 2022-09-15 02:32:10,503 - mmdet - INFO - Epoch [25][1800/7330] lr: 1.000e-04, eta: 1 day, 8:53:31, time: 1.366, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1607, s0.loss_cls: 0.1262, s0.acc: 95.3364, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1836, s1.loss_cls: 0.0591, s1.acc: 95.5998, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0868, s2.loss_cls: 0.0301, s2.acc: 95.4545, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0412, loss: 0.9400 2022-09-15 02:33:18,453 - mmdet - INFO - Epoch [25][1850/7330] lr: 1.000e-04, eta: 1 day, 8:52:22, time: 1.359, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1617, s0.loss_cls: 0.1195, s0.acc: 95.6208, s0.loss_bbox: 0.0649, s0.loss_mask: 0.1765, s1.loss_cls: 0.0572, s1.acc: 95.8288, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0840, s2.loss_cls: 0.0299, s2.acc: 95.5427, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0401, loss: 0.9029 2022-09-15 02:34:27,396 - mmdet - INFO - Epoch [25][1900/7330] lr: 1.000e-04, eta: 1 day, 8:51:13, time: 1.379, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1219, s0.acc: 95.5635, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1854, s1.loss_cls: 0.0578, s1.acc: 95.8699, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0877, s2.loss_cls: 0.0302, s2.acc: 95.5419, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0412, loss: 0.9287 2022-09-15 02:35:35,382 - mmdet - INFO - Epoch [25][1950/7330] lr: 1.000e-04, eta: 1 day, 8:50:04, time: 1.360, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1265, s0.acc: 95.4688, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1813, s1.loss_cls: 0.0597, s1.acc: 95.7294, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0854, s2.loss_cls: 0.0308, s2.acc: 95.5840, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0404, loss: 0.9362 2022-09-15 02:36:43,487 - mmdet - INFO - Epoch [25][2000/7330] lr: 1.000e-04, eta: 1 day, 8:48:55, time: 1.362, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1225, s0.acc: 95.5352, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1794, s1.loss_cls: 0.0587, s1.acc: 95.7759, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0852, s2.loss_cls: 0.0301, s2.acc: 95.5819, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0401, loss: 0.9230 2022-09-15 02:37:51,093 - mmdet - INFO - Epoch [25][2050/7330] lr: 1.000e-04, eta: 1 day, 8:47:46, time: 1.352, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1591, s0.loss_cls: 0.1167, s0.acc: 95.6521, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1819, s1.loss_cls: 0.0555, s1.acc: 95.9069, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0868, s2.loss_cls: 0.0293, s2.acc: 95.5852, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0410, loss: 0.9086 2022-09-15 11:21:43,531 - mmdet - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/lustre/share/cuda-11.1 NVCC: Build cuda_11.1.TC455_06.29069683_0 GCC: gcc (GCC) 7.3.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.6.0 MMCV: 1.4.2 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMDetection: 2.22.0+abdbbac ------------------------------------------------------------ 2022-09-15 11:21:44,290 - mmdet - INFO - Distributed training: True 2022-09-15 11:21:45,143 - mmdet - INFO - Config: dataset_type = 'CocoDataset' data_root = 'data/coco/' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='InstaBoost', action_candidate=('normal', 'horizontal', 'skip'), action_prob=(1, 0, 0), scale=(0.8, 1.2), dx=15, dy=15, theta=(-1, 1), color_prob=0.5, hflag=False, aug_ratio=0.5), dict( type='LoadAnnotations', with_bbox=True, with_mask=True, with_seg=True), dict( type='Resize', img_scale=[(1600, 400), (1600, 1400)], multiscale_mode='range', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='SegRescale', scale_factor=0.125), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks', 'gt_semantic_seg']) ] test_pipeline = [ dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='MultiScaleFlipAug', img_scale=(1600, 1400), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=1, workers_per_gpu=2, train=dict( type='CocoDataset', ann_file='data/coco/annotations/instances_train2017.json', img_prefix='data/coco/train2017/', pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='InstaBoost', action_candidate=('normal', 'horizontal', 'skip'), action_prob=(1, 0, 0), scale=(0.8, 1.2), dx=15, dy=15, theta=(-1, 1), color_prob=0.5, hflag=False, aug_ratio=0.5), dict( type='LoadAnnotations', with_bbox=True, with_mask=True, with_seg=True), dict( type='Resize', img_scale=[(1600, 400), (1600, 1400)], multiscale_mode='range', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='SegRescale', scale_factor=0.125), dict(type='DefaultFormatBundle'), dict( type='Collect', keys=[ 'img', 'gt_bboxes', 'gt_labels', 'gt_masks', 'gt_semantic_seg' ]) ], seg_prefix='data/coco/stuffthingmaps/train2017/'), val=dict( type='CocoDataset', ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='MultiScaleFlipAug', img_scale=(1600, 1400), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='CocoDataset', ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict( type='MultiScaleFlipAug', img_scale=(1600, 1400), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) evaluation = dict(metric=['bbox', 'segm']) optimizer = dict( type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.05, constructor='LayerDecayOptimizerConstructor', paramwise_cfg=dict(num_layers=24, layer_decay_rate=0.9)) optimizer_config = dict(grad_clip=None) lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[27, 33]) runner = dict(type='EpochBasedRunner', max_epochs=36) checkpoint_config = dict(interval=1, max_keep_ckpts=2, save_last=True) log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) custom_hooks = [dict(type='NumClassCheckHook')] dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] pretrained = 'pretrained/beitv2_large_patch16_224_pt1k_ft21k.pth' model = dict( type='HybridTaskCascade', backbone=dict( type='BEiTAdapter', img_size=224, patch_size=16, embed_dim=1024, depth=24, num_heads=16, mlp_ratio=4, qkv_bias=True, use_abs_pos_emb=False, use_rel_pos_bias=True, init_values=1e-06, drop_path_rate=0.4, conv_inplane=64, n_points=4, deform_num_heads=16, cffn_ratio=0.25, deform_ratio=0.5, window_attn=[ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True ], window_size=[ 14, 14, 14, 14, 14, 56, 14, 14, 14, 14, 14, 56, 14, 14, 14, 14, 14, 56, 14, 14, 14, 14, 14, 56 ], interaction_indexes=[[0, 5], [6, 11], [12, 17], [18, 23]], pretrained='pretrained/beitv2_large_patch16_224_pt1k_ft21k.pth'), neck=[ dict( type='ExtraAttention', in_channels=[1024, 1024, 1024, 1024], num_head=32, with_ffn=True, ffn_ratio=4.0, drop_path=0.3), dict( type='FPN', in_channels=[1024, 1024, 1024, 1024], out_channels=256, num_outs=5) ], rpn_head=dict( type='RPNHead', in_channels=256, feat_channels=256, anchor_generator=dict( type='AnchorGenerator', scales=[8], ratios=[0.5, 1.0, 2.0], strides=[4, 8, 16, 32, 64]), bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[1.0, 1.0, 1.0, 1.0]), loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), loss_bbox=dict( type='SmoothL1Loss', beta=0.1111111111111111, loss_weight=1.0)), roi_head=dict( type='HybridTaskCascadeRoIHead', interleaved=True, mask_info_flow=True, num_stages=3, stage_loss_weights=[1, 0.5, 0.25], bbox_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), bbox_head=[ dict( type='Shared4Conv1FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.1, 0.1, 0.2, 0.2]), reg_class_agnostic=True, loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)), dict( type='Shared4Conv1FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.05, 0.05, 0.1, 0.1]), reg_class_agnostic=True, loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)), dict( type='Shared4Conv1FCBBoxHead', in_channels=256, fc_out_channels=1024, roi_feat_size=7, num_classes=80, bbox_coder=dict( type='DeltaXYWHBBoxCoder', target_means=[0.0, 0.0, 0.0, 0.0], target_stds=[0.033, 0.033, 0.067, 0.067]), reg_class_agnostic=True, loss_cls=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0)) ], mask_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), out_channels=256, featmap_strides=[4, 8, 16, 32]), mask_head=[ dict( type='HTCMaskHead', with_conv_res=False, num_convs=4, in_channels=256, conv_out_channels=256, num_classes=80, loss_mask=dict( type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)), dict( type='HTCMaskHead', num_convs=4, in_channels=256, conv_out_channels=256, num_classes=80, loss_mask=dict( type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)), dict( type='HTCMaskHead', num_convs=4, in_channels=256, conv_out_channels=256, num_classes=80, loss_mask=dict( type='CrossEntropyLoss', use_mask=True, loss_weight=1.0)) ], semantic_roi_extractor=dict( type='SingleRoIExtractor', roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), out_channels=256, featmap_strides=[8]), semantic_head=dict( type='FusedSemanticHead', num_ins=5, fusion_level=1, num_convs=4, in_channels=256, conv_out_channels=256, num_classes=183, loss_seg=dict( type='CrossEntropyLoss', ignore_index=255, loss_weight=0.2))), train_cfg=dict( rpn=dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.3, min_pos_iou=0.3, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=256, pos_fraction=0.5, neg_pos_ub=-1, add_gt_as_proposals=False), allowed_border=0, pos_weight=-1, debug=False), rpn_proposal=dict( nms_pre=2000, max_per_img=2000, nms=dict(type='nms', iou_threshold=0.7), min_bbox_size=0), rcnn=[ dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.5, neg_iou_thr=0.5, min_pos_iou=0.5, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False), dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.6, neg_iou_thr=0.6, min_pos_iou=0.6, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False), dict( assigner=dict( type='MaxIoUAssigner', pos_iou_thr=0.7, neg_iou_thr=0.7, min_pos_iou=0.7, ignore_iof_thr=-1), sampler=dict( type='RandomSampler', num=512, pos_fraction=0.25, neg_pos_ub=-1, add_gt_as_proposals=True), mask_size=28, pos_weight=-1, debug=False) ]), test_cfg=dict( rpn=dict( nms_pre=1000, max_per_img=1000, nms=dict(type='nms', iou_threshold=0.7), min_bbox_size=0), rcnn=dict( score_thr=0.001, nms=dict(type='soft_nms', iou_threshold=0.5), max_per_img=100, mask_thr_binary=0.5))) file_client_args = dict(backend='disk') work_dir = 'work_dirs/htc++_beitv2_adapter_large_fpn_3x_coco/' auto_resume = True gpu_ids = range(0, 16) 2022-09-15 11:21:57,260 - mmdet - INFO - Set random seed to 1207428848, deterministic: False 2022-09-15 11:22:18,834 - mmdet - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: cls_token, fc_norm.weight, fc_norm.bias, head.weight, head.bias missing keys in source state_dict: blocks.0.attn.relative_position_index, blocks.1.attn.relative_position_index, blocks.2.attn.relative_position_index, blocks.3.attn.relative_position_index, blocks.4.attn.relative_position_index, blocks.5.attn.relative_position_index, blocks.6.attn.relative_position_index, blocks.7.attn.relative_position_index, blocks.8.attn.relative_position_index, blocks.9.attn.relative_position_index, blocks.10.attn.relative_position_index, blocks.11.attn.relative_position_index, blocks.12.attn.relative_position_index, blocks.13.attn.relative_position_index, blocks.14.attn.relative_position_index, blocks.15.attn.relative_position_index, blocks.16.attn.relative_position_index, blocks.17.attn.relative_position_index, blocks.18.attn.relative_position_index, blocks.19.attn.relative_position_index, blocks.20.attn.relative_position_index, blocks.21.attn.relative_position_index, blocks.22.attn.relative_position_index, blocks.23.attn.relative_position_index 2022-09-15 11:22:42,868 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2022-09-15 11:22:43,950 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} 2022-09-15 11:22:44,032 - mmdet - INFO - initialize Shared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] 2022-09-15 11:22:45,076 - mmdet - INFO - initialize Shared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] 2022-09-15 11:22:46,080 - mmdet - INFO - initialize Shared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] 2022-09-15 11:22:47,744 - mmdet - INFO - initialize FusedSemanticHead with init_cfg {'type': 'Kaiming', 'override': {'name': 'conv_logits'}} Name of parameter - Initialization information backbone.level_embed - torch.Size([3, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.patch_embed.proj.weight - torch.Size([1024, 3, 16, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.patch_embed.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.0.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.1.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.2.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.3.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.4.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.relative_position_bias_table - torch.Size([12321, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.5.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.6.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.7.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.8.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.9.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.10.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.relative_position_bias_table - torch.Size([12321, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.11.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.12.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.13.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.14.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.15.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.16.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.relative_position_bias_table - torch.Size([12321, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.17.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.18.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.19.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.20.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.21.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.relative_position_bias_table - torch.Size([729, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.22.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.q_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.v_bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.relative_position_bias_table - torch.Size([12321, 16]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.mlp.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.mlp.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.mlp.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.blocks.23.mlp.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.0.weight - torch.Size([64, 3, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.3.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.6.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.7.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.stem.7.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv2.0.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv2.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv2.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv3.0.weight - torch.Size([256, 128, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv3.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv3.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv4.0.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv4.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.conv4.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc1.weight - torch.Size([1024, 64, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc2.weight - torch.Size([1024, 128, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc3.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc4.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.spm.fc4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.up.weight - torch.Size([1024, 1024, 2, 2]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.up.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm4.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade backbone.norm4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.attn.qkv.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.attn.qkv.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.attn.proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.attn.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.ffn.fc1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.ffn.fc1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.ffn.fc2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.final_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.0.final_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.lateral_convs.0.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.lateral_convs.3.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.lateral_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade neck.1.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.1.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_conv.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.bias - torch.Size([3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.bias - torch.Size([12]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.0.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.0.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.0.fc_reg.weight - torch.Size([4, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.0.fc_reg.bias - torch.Size([4]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.0.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.0.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.0.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.1.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.1.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.1.fc_reg.weight - torch.Size([4, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.1.fc_reg.bias - torch.Size([4]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.1.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.1.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.1.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.2.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.2.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.2.fc_reg.weight - torch.Size([4, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.2.fc_reg.bias - torch.Size([4]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.2.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.bbox_head.2.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.2.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.mask_head.0.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.upsample.weight - torch.Size([256, 256, 2, 2]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.upsample.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.conv_logits.weight - torch.Size([80, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.0.conv_logits.bias - torch.Size([80]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.upsample.weight - torch.Size([256, 256, 2, 2]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.upsample.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.conv_logits.weight - torch.Size([80, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.conv_logits.bias - torch.Size([80]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.conv_res.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.1.conv_res.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.upsample.weight - torch.Size([256, 256, 2, 2]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.upsample.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.conv_logits.weight - torch.Size([80, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.conv_logits.bias - torch.Size([80]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.conv_res.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.mask_head.2.conv_res.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.0.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.1.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.2.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.3.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.4.conv.weight - torch.Size([256, 256, 1, 1]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.lateral_convs.4.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.conv_embedding.conv.weight - torch.Size([256, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule roi_head.semantic_head.conv_embedding.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of HybridTaskCascade roi_head.semantic_head.conv_logits.weight - torch.Size([183, 256, 1, 1]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 roi_head.semantic_head.conv_logits.bias - torch.Size([183]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 2022-09-15 11:23:07,553 - mmdet - INFO - load checkpoint from local path: work_dirs/htc++_beitv2_adapter_large_fpn_3x_coco/latest.pth 2022-09-15 11:23:24,956 - mmdet - INFO - resumed epoch 24, iter 175920 2022-09-15 11:23:24,959 - mmdet - INFO - Start running, host: chenzhe1@SH-IDC1-10-140-0-235, work_dir: /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/detection/work_dirs/htc++_beitv2_adapter_large_fpn_3x_coco 2022-09-15 11:23:24,960 - mmdet - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) NumClassCheckHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) NumClassCheckHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2022-09-15 11:23:24,962 - mmdet - INFO - workflow: [('train', 1)], max: 36 epochs 2022-09-15 11:23:24,962 - mmdet - INFO - Checkpoints will be saved to /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/detection/work_dirs/htc++_beitv2_adapter_large_fpn_3x_coco by HardDiskBackend. 2022-09-15 11:25:46,248 - mmdet - INFO - Epoch [25][50/7330] lr: 1.000e-04, eta: 2 days, 20:59:39, time: 2.825, data_time: 1.575, memory: 61576, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1271, s0.acc: 95.2751, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1824, s1.loss_cls: 0.0597, s1.acc: 95.5992, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0861, s2.loss_cls: 0.0302, s2.acc: 95.4210, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0410, loss: 0.9377 2022-09-15 11:26:47,734 - mmdet - INFO - Epoch [25][100/7330] lr: 1.000e-04, eta: 2 days, 1:28:53, time: 1.230, data_time: 0.027, memory: 61576, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1522, s0.loss_cls: 0.1183, s0.acc: 95.5886, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1816, s1.loss_cls: 0.0555, s1.acc: 95.8946, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0864, s2.loss_cls: 0.0293, s2.acc: 95.6365, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0413, loss: 0.9067 2022-09-15 11:27:48,864 - mmdet - INFO - Epoch [25][150/7330] lr: 1.000e-04, eta: 1 day, 18:54:36, time: 1.223, data_time: 0.025, memory: 64159, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1573, s0.loss_cls: 0.1224, s0.acc: 95.4700, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1772, s1.loss_cls: 0.0571, s1.acc: 95.7536, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0843, s2.loss_cls: 0.0296, s2.acc: 95.4420, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0404, loss: 0.9161 2022-09-15 11:28:49,756 - mmdet - INFO - Epoch [25][200/7330] lr: 1.000e-04, eta: 1 day, 15:35:10, time: 1.218, data_time: 0.023, memory: 64159, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1620, s0.loss_cls: 0.1213, s0.acc: 95.5122, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1799, s1.loss_cls: 0.0575, s1.acc: 95.7053, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0860, s2.loss_cls: 0.0295, s2.acc: 95.4623, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0410, loss: 0.9152 2022-09-15 11:29:50,638 - mmdet - INFO - Epoch [25][250/7330] lr: 1.000e-04, eta: 1 day, 13:34:46, time: 1.217, data_time: 0.018, memory: 64159, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1530, s0.loss_cls: 0.1142, s0.acc: 95.7310, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1713, s1.loss_cls: 0.0546, s1.acc: 95.9164, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0814, s2.loss_cls: 0.0279, s2.acc: 95.7179, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0388, loss: 0.8726 2022-09-15 11:30:50,934 - mmdet - INFO - Epoch [25][300/7330] lr: 1.000e-04, eta: 1 day, 12:11:45, time: 1.207, data_time: 0.026, memory: 64159, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1235, s0.acc: 95.5356, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1831, s1.loss_cls: 0.0590, s1.acc: 95.7750, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0855, s2.loss_cls: 0.0306, s2.acc: 95.5291, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0405, loss: 0.9396 2022-09-15 11:31:51,152 - mmdet - INFO - Epoch [25][350/7330] lr: 1.000e-04, eta: 1 day, 11:11:40, time: 1.204, data_time: 0.033, memory: 64159, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1579, s0.loss_cls: 0.1253, s0.acc: 95.3884, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1877, s1.loss_cls: 0.0604, s1.acc: 95.4760, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0883, s2.loss_cls: 0.0311, s2.acc: 95.2533, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0419, loss: 0.9432 2022-09-15 11:32:51,446 - mmdet - INFO - Epoch [25][400/7330] lr: 1.000e-04, eta: 1 day, 10:26:38, time: 1.206, data_time: 0.022, memory: 64159, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1534, s0.loss_cls: 0.1209, s0.acc: 95.5376, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1799, s1.loss_cls: 0.0579, s1.acc: 95.7229, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0852, s2.loss_cls: 0.0296, s2.acc: 95.5807, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0405, loss: 0.9065 2022-09-15 11:33:52,387 - mmdet - INFO - Epoch [25][450/7330] lr: 1.000e-04, eta: 1 day, 9:53:28, time: 1.219, data_time: 0.025, memory: 64159, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1548, s0.loss_cls: 0.1226, s0.acc: 95.4182, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1878, s1.loss_cls: 0.0593, s1.acc: 95.6151, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0891, s2.loss_cls: 0.0309, s2.acc: 95.3301, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0421, loss: 0.9392 2022-09-15 11:34:52,768 - mmdet - INFO - Epoch [25][500/7330] lr: 1.000e-04, eta: 1 day, 9:25:06, time: 1.208, data_time: 0.022, memory: 64159, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1653, s0.loss_cls: 0.1190, s0.acc: 95.6243, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1750, s1.loss_cls: 0.0566, s1.acc: 95.8670, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0836, s2.loss_cls: 0.0288, s2.acc: 95.7349, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0400, loss: 0.9037 2022-09-15 11:35:53,736 - mmdet - INFO - Epoch [25][550/7330] lr: 1.000e-04, eta: 1 day, 9:03:16, time: 1.219, data_time: 0.020, memory: 64159, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1558, s0.loss_cls: 0.1151, s0.acc: 95.7200, s0.loss_bbox: 0.0648, s0.loss_mask: 0.1702, s1.loss_cls: 0.0544, s1.acc: 95.9694, s1.loss_bbox: 0.0762, s1.loss_mask: 0.0814, s2.loss_cls: 0.0283, s2.acc: 95.7484, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0387, loss: 0.8751 2022-09-15 11:36:53,842 - mmdet - INFO - Epoch [25][600/7330] lr: 1.000e-04, eta: 1 day, 8:42:44, time: 1.201, data_time: 0.025, memory: 64159, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1574, s0.loss_cls: 0.1248, s0.acc: 95.3774, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1806, s1.loss_cls: 0.0591, s1.acc: 95.6125, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0855, s2.loss_cls: 0.0304, s2.acc: 95.3813, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0406, loss: 0.9210 2022-09-15 11:37:55,188 - mmdet - INFO - Epoch [25][650/7330] lr: 1.000e-04, eta: 1 day, 8:28:08, time: 1.228, data_time: 0.027, memory: 64159, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1247, s0.acc: 95.4202, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1810, s1.loss_cls: 0.0584, s1.acc: 95.7573, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0857, s2.loss_cls: 0.0297, s2.acc: 95.5447, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0404, loss: 0.9324 2022-09-15 11:38:55,837 - mmdet - INFO - Epoch [25][700/7330] lr: 1.000e-04, eta: 1 day, 8:13:56, time: 1.213, data_time: 0.018, memory: 64159, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1723, s0.loss_cls: 0.1220, s0.acc: 95.4148, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1851, s1.loss_cls: 0.0585, s1.acc: 95.5855, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0877, s2.loss_cls: 0.0302, s2.acc: 95.3691, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0414, loss: 0.9450 2022-09-15 11:39:55,913 - mmdet - INFO - Epoch [25][750/7330] lr: 1.000e-04, eta: 1 day, 8:00:24, time: 1.202, data_time: 0.028, memory: 64159, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1227, s0.acc: 95.4155, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1804, s1.loss_cls: 0.0585, s1.acc: 95.6730, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0851, s2.loss_cls: 0.0300, s2.acc: 95.4517, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0404, loss: 0.9226 2022-09-15 11:40:57,209 - mmdet - INFO - Epoch [25][800/7330] lr: 1.000e-04, eta: 1 day, 7:50:39, time: 1.226, data_time: 0.028, memory: 64159, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0283, loss_semantic_seg: 0.1596, s0.loss_cls: 0.1271, s0.acc: 95.2131, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1879, s1.loss_cls: 0.0604, s1.acc: 95.4913, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0890, s2.loss_cls: 0.0309, s2.acc: 95.2629, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0421, loss: 0.9572 2022-09-15 11:41:57,847 - mmdet - INFO - Epoch [25][850/7330] lr: 1.000e-04, eta: 1 day, 7:40:43, time: 1.212, data_time: 0.020, memory: 64159, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1620, s0.loss_cls: 0.1204, s0.acc: 95.5513, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1828, s1.loss_cls: 0.0566, s1.acc: 95.8087, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0860, s2.loss_cls: 0.0293, s2.acc: 95.5756, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0402, loss: 0.9211 2022-09-15 11:42:58,745 - mmdet - INFO - Epoch [25][900/7330] lr: 1.000e-04, eta: 1 day, 7:32:19, time: 1.219, data_time: 0.017, memory: 64159, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1200, s0.acc: 95.6270, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1792, s1.loss_cls: 0.0578, s1.acc: 95.8461, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0846, s2.loss_cls: 0.0300, s2.acc: 95.5826, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0402, loss: 0.9241 2022-09-15 11:44:00,424 - mmdet - INFO - Epoch [25][950/7330] lr: 1.000e-04, eta: 1 day, 7:25:52, time: 1.234, data_time: 0.034, memory: 64159, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1580, s0.loss_cls: 0.1222, s0.acc: 95.4541, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1830, s1.loss_cls: 0.0579, s1.acc: 95.7234, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0873, s2.loss_cls: 0.0301, s2.acc: 95.5170, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0415, loss: 0.9252 2022-09-15 11:45:01,225 - mmdet - INFO - Epoch [25][1000/7330] lr: 1.000e-04, eta: 1 day, 7:18:40, time: 1.216, data_time: 0.024, memory: 64159, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1631, s0.loss_cls: 0.1236, s0.acc: 95.3611, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1877, s1.loss_cls: 0.0591, s1.acc: 95.5913, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0895, s2.loss_cls: 0.0302, s2.acc: 95.3214, s2.loss_bbox: 0.0567, s2.loss_mask: 0.0426, loss: 0.9454 2022-09-15 11:46:01,379 - mmdet - INFO - Epoch [25][1050/7330] lr: 1.000e-04, eta: 1 day, 7:11:07, time: 1.203, data_time: 0.020, memory: 64159, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1590, s0.loss_cls: 0.1152, s0.acc: 95.7781, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1779, s1.loss_cls: 0.0540, s1.acc: 96.1116, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0845, s2.loss_cls: 0.0281, s2.acc: 95.8888, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0401, loss: 0.8883 2022-09-15 11:47:02,365 - mmdet - INFO - Epoch [25][1100/7330] lr: 1.000e-04, eta: 1 day, 7:05:20, time: 1.220, data_time: 0.028, memory: 64159, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1571, s0.loss_cls: 0.1202, s0.acc: 95.5713, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1811, s1.loss_cls: 0.0568, s1.acc: 95.7699, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0858, s2.loss_cls: 0.0298, s2.acc: 95.5078, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0405, loss: 0.9126 2022-09-15 11:48:04,031 - mmdet - INFO - Epoch [25][1150/7330] lr: 1.000e-04, eta: 1 day, 7:00:48, time: 1.233, data_time: 0.018, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1319, s0.acc: 95.1936, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1875, s1.loss_cls: 0.0629, s1.acc: 95.3967, s1.loss_bbox: 0.0867, s1.loss_mask: 0.0889, s2.loss_cls: 0.0324, s2.acc: 95.1355, s2.loss_bbox: 0.0579, s2.loss_mask: 0.0422, loss: 0.9727 2022-09-15 11:49:04,931 - mmdet - INFO - Epoch [25][1200/7330] lr: 1.000e-04, eta: 1 day, 6:55:37, time: 1.218, data_time: 0.030, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1600, s0.loss_cls: 0.1260, s0.acc: 95.4062, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1813, s1.loss_cls: 0.0599, s1.acc: 95.6363, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0865, s2.loss_cls: 0.0304, s2.acc: 95.4695, s2.loss_bbox: 0.0561, s2.loss_mask: 0.0412, loss: 0.9341 2022-09-15 11:50:06,257 - mmdet - INFO - Epoch [25][1250/7330] lr: 1.000e-04, eta: 1 day, 6:51:16, time: 1.227, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1560, s0.loss_cls: 0.1205, s0.acc: 95.5142, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1820, s1.loss_cls: 0.0570, s1.acc: 95.7446, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0861, s2.loss_cls: 0.0295, s2.acc: 95.4739, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0407, loss: 0.9113 2022-09-15 11:51:06,428 - mmdet - INFO - Epoch [25][1300/7330] lr: 1.000e-04, eta: 1 day, 6:45:53, time: 1.203, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1196, s0.acc: 95.6362, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1816, s1.loss_cls: 0.0579, s1.acc: 95.7919, s1.loss_bbox: 0.0775, s1.loss_mask: 0.0853, s2.loss_cls: 0.0299, s2.acc: 95.5661, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0406, loss: 0.9195 2022-09-15 11:52:07,654 - mmdet - INFO - Epoch [25][1350/7330] lr: 1.000e-04, eta: 1 day, 6:41:58, time: 1.225, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1590, s0.loss_cls: 0.1261, s0.acc: 95.3691, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1816, s1.loss_cls: 0.0596, s1.acc: 95.6971, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0858, s2.loss_cls: 0.0303, s2.acc: 95.5367, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0406, loss: 0.9300 2022-09-15 11:53:08,961 - mmdet - INFO - Epoch [25][1400/7330] lr: 1.000e-04, eta: 1 day, 6:38:19, time: 1.226, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1642, s0.loss_cls: 0.1248, s0.acc: 95.4602, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1861, s1.loss_cls: 0.0588, s1.acc: 95.6900, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0885, s2.loss_cls: 0.0303, s2.acc: 95.4900, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0420, loss: 0.9479 2022-09-15 11:54:09,691 - mmdet - INFO - Epoch [25][1450/7330] lr: 1.000e-04, eta: 1 day, 6:34:18, time: 1.215, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1677, s0.loss_cls: 0.1241, s0.acc: 95.4187, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1860, s1.loss_cls: 0.0580, s1.acc: 95.6864, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0889, s2.loss_cls: 0.0300, s2.acc: 95.4108, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0419, loss: 0.9530 2022-09-15 11:55:11,848 - mmdet - INFO - Epoch [25][1500/7330] lr: 1.000e-04, eta: 1 day, 6:31:50, time: 1.243, data_time: 0.018, memory: 64743, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1292, s0.acc: 95.2498, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1842, s1.loss_cls: 0.0624, s1.acc: 95.4308, s1.loss_bbox: 0.0829, s1.loss_mask: 0.0872, s2.loss_cls: 0.0317, s2.acc: 95.2356, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0413, loss: 0.9538 2022-09-15 11:56:13,306 - mmdet - INFO - Epoch [25][1550/7330] lr: 1.000e-04, eta: 1 day, 6:28:50, time: 1.229, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1251, s0.acc: 95.4080, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1826, s1.loss_cls: 0.0590, s1.acc: 95.7027, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0864, s2.loss_cls: 0.0301, s2.acc: 95.5099, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0410, loss: 0.9382 2022-09-15 11:57:14,656 - mmdet - INFO - Epoch [25][1600/7330] lr: 1.000e-04, eta: 1 day, 6:25:50, time: 1.227, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1597, s0.loss_cls: 0.1233, s0.acc: 95.4397, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1796, s1.loss_cls: 0.0588, s1.acc: 95.6352, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0849, s2.loss_cls: 0.0300, s2.acc: 95.5016, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0400, loss: 0.9178 2022-09-15 11:58:15,396 - mmdet - INFO - Epoch [25][1650/7330] lr: 1.000e-04, eta: 1 day, 6:22:26, time: 1.215, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1612, s0.loss_cls: 0.1271, s0.acc: 95.3750, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1850, s1.loss_cls: 0.0599, s1.acc: 95.6174, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0868, s2.loss_cls: 0.0303, s2.acc: 95.4299, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0412, loss: 0.9374 2022-09-15 11:59:16,656 - mmdet - INFO - Epoch [25][1700/7330] lr: 1.000e-04, eta: 1 day, 6:19:37, time: 1.225, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1571, s0.loss_cls: 0.1165, s0.acc: 95.6272, s0.loss_bbox: 0.0658, s0.loss_mask: 0.1782, s1.loss_cls: 0.0543, s1.acc: 95.8975, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0852, s2.loss_cls: 0.0281, s2.acc: 95.7728, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0408, loss: 0.8985 2022-09-15 12:00:21,998 - mmdet - INFO - Epoch [25][1750/7330] lr: 1.000e-04, eta: 1 day, 6:20:15, time: 1.307, data_time: 0.031, memory: 64743, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1158, s0.acc: 95.7795, s0.loss_bbox: 0.0648, s0.loss_mask: 0.1769, s1.loss_cls: 0.0545, s1.acc: 96.0074, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0833, s2.loss_cls: 0.0287, s2.acc: 95.6686, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0395, loss: 0.8935 2022-09-15 12:01:22,737 - mmdet - INFO - Epoch [25][1800/7330] lr: 1.000e-04, eta: 1 day, 6:17:07, time: 1.215, data_time: 0.016, memory: 64743, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1202, s0.acc: 95.6672, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1788, s1.loss_cls: 0.0572, s1.acc: 95.8995, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0851, s2.loss_cls: 0.0298, s2.acc: 95.5663, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0405, loss: 0.9170 2022-09-15 12:02:24,358 - mmdet - INFO - Epoch [25][1850/7330] lr: 1.000e-04, eta: 1 day, 6:14:47, time: 1.232, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1284, s0.acc: 95.3379, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1844, s1.loss_cls: 0.0604, s1.acc: 95.5941, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0877, s2.loss_cls: 0.0312, s2.acc: 95.4030, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0413, loss: 0.9470 2022-09-15 12:03:25,064 - mmdet - INFO - Epoch [25][1900/7330] lr: 1.000e-04, eta: 1 day, 6:11:50, time: 1.214, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1639, s0.loss_cls: 0.1246, s0.acc: 95.4265, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1877, s1.loss_cls: 0.0593, s1.acc: 95.6792, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0892, s2.loss_cls: 0.0303, s2.acc: 95.4909, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0426, loss: 0.9442 2022-09-15 12:04:25,250 - mmdet - INFO - Epoch [25][1950/7330] lr: 1.000e-04, eta: 1 day, 6:08:35, time: 1.204, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1594, s0.loss_cls: 0.1251, s0.acc: 95.3213, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1824, s1.loss_cls: 0.0601, s1.acc: 95.5171, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0860, s2.loss_cls: 0.0305, s2.acc: 95.3205, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0411, loss: 0.9360 2022-09-15 12:05:25,953 - mmdet - INFO - Epoch [25][2000/7330] lr: 1.000e-04, eta: 1 day, 6:05:50, time: 1.214, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0286, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1340, s0.acc: 95.0654, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1854, s1.loss_cls: 0.0633, s1.acc: 95.3634, s1.loss_bbox: 0.0874, s1.loss_mask: 0.0878, s2.loss_cls: 0.0324, s2.acc: 95.1615, s2.loss_bbox: 0.0576, s2.loss_mask: 0.0417, loss: 0.9792 2022-09-15 12:06:26,926 - mmdet - INFO - Epoch [25][2050/7330] lr: 1.000e-04, eta: 1 day, 6:03:21, time: 1.220, data_time: 0.016, memory: 64743, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1603, s0.loss_cls: 0.1169, s0.acc: 95.7024, s0.loss_bbox: 0.0652, s0.loss_mask: 0.1794, s1.loss_cls: 0.0549, s1.acc: 95.9477, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0854, s2.loss_cls: 0.0287, s2.acc: 95.7074, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0402, loss: 0.8988 2022-09-15 12:07:27,832 - mmdet - INFO - Epoch [25][2100/7330] lr: 1.000e-04, eta: 1 day, 6:00:53, time: 1.218, data_time: 0.026, memory: 64743, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1296, s0.acc: 95.1943, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1809, s1.loss_cls: 0.0619, s1.acc: 95.4579, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0859, s2.loss_cls: 0.0318, s2.acc: 95.2229, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0409, loss: 0.9475 2022-09-15 12:08:28,538 - mmdet - INFO - Epoch [25][2150/7330] lr: 1.000e-04, eta: 1 day, 5:58:22, time: 1.214, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1209, s0.acc: 95.5190, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1820, s1.loss_cls: 0.0576, s1.acc: 95.8287, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0866, s2.loss_cls: 0.0292, s2.acc: 95.6820, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0414, loss: 0.9246 2022-09-15 12:09:29,165 - mmdet - INFO - Epoch [25][2200/7330] lr: 1.000e-04, eta: 1 day, 5:55:50, time: 1.212, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0269, loss_semantic_seg: 0.1610, s0.loss_cls: 0.1239, s0.acc: 95.4102, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1816, s1.loss_cls: 0.0580, s1.acc: 95.6925, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0862, s2.loss_cls: 0.0299, s2.acc: 95.4529, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0409, loss: 0.9274 2022-09-15 12:10:29,776 - mmdet - INFO - Epoch [25][2250/7330] lr: 1.000e-04, eta: 1 day, 5:53:24, time: 1.213, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1628, s0.loss_cls: 0.1159, s0.acc: 95.6748, s0.loss_bbox: 0.0650, s0.loss_mask: 0.1809, s1.loss_cls: 0.0554, s1.acc: 95.8446, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0860, s2.loss_cls: 0.0290, s2.acc: 95.6241, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0412, loss: 0.9034 2022-09-15 12:11:30,519 - mmdet - INFO - Epoch [25][2300/7330] lr: 1.000e-04, eta: 1 day, 5:51:06, time: 1.215, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1676, s0.loss_cls: 0.1228, s0.acc: 95.4658, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1843, s1.loss_cls: 0.0581, s1.acc: 95.7676, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0864, s2.loss_cls: 0.0300, s2.acc: 95.5049, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0409, loss: 0.9412 2022-09-15 12:12:31,268 - mmdet - INFO - Epoch [25][2350/7330] lr: 1.000e-04, eta: 1 day, 5:48:51, time: 1.215, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1277, s0.acc: 95.4224, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1856, s1.loss_cls: 0.0610, s1.acc: 95.6305, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0878, s2.loss_cls: 0.0315, s2.acc: 95.4517, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0417, loss: 0.9437 2022-09-15 12:13:32,572 - mmdet - INFO - Epoch [25][2400/7330] lr: 1.000e-04, eta: 1 day, 5:46:58, time: 1.225, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1199, s0.acc: 95.5198, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1816, s1.loss_cls: 0.0565, s1.acc: 95.8330, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0865, s2.loss_cls: 0.0295, s2.acc: 95.4979, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0413, loss: 0.9212 2022-09-15 12:14:34,638 - mmdet - INFO - Epoch [25][2450/7330] lr: 1.000e-04, eta: 1 day, 5:45:35, time: 1.241, data_time: 0.028, memory: 64743, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1583, s0.loss_cls: 0.1221, s0.acc: 95.4734, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1758, s1.loss_cls: 0.0569, s1.acc: 95.7692, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0833, s2.loss_cls: 0.0300, s2.acc: 95.4542, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0397, loss: 0.9085 2022-09-15 12:15:36,088 - mmdet - INFO - Epoch [25][2500/7330] lr: 1.000e-04, eta: 1 day, 5:43:52, time: 1.230, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1263, s0.acc: 95.3567, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1846, s1.loss_cls: 0.0596, s1.acc: 95.6288, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0885, s2.loss_cls: 0.0308, s2.acc: 95.3607, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0418, loss: 0.9512 2022-09-15 12:16:36,315 - mmdet - INFO - Epoch [25][2550/7330] lr: 1.000e-04, eta: 1 day, 5:41:29, time: 1.204, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1263, s0.acc: 95.2947, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1835, s1.loss_cls: 0.0607, s1.acc: 95.4293, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0865, s2.loss_cls: 0.0309, s2.acc: 95.2433, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0408, loss: 0.9408 2022-09-15 12:17:37,578 - mmdet - INFO - Epoch [25][2600/7330] lr: 1.000e-04, eta: 1 day, 5:39:44, time: 1.225, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1600, s0.loss_cls: 0.1235, s0.acc: 95.4351, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1849, s1.loss_cls: 0.0588, s1.acc: 95.6534, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0873, s2.loss_cls: 0.0301, s2.acc: 95.4784, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0413, loss: 0.9306 2022-09-15 12:18:38,139 - mmdet - INFO - Epoch [25][2650/7330] lr: 1.000e-04, eta: 1 day, 5:37:37, time: 1.211, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1538, s0.loss_cls: 0.1218, s0.acc: 95.4688, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1832, s1.loss_cls: 0.0583, s1.acc: 95.7123, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0864, s2.loss_cls: 0.0303, s2.acc: 95.4206, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0408, loss: 0.9209 2022-09-15 12:19:40,322 - mmdet - INFO - Epoch [25][2700/7330] lr: 1.000e-04, eta: 1 day, 5:36:24, time: 1.244, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1274, s0.acc: 95.3909, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1826, s1.loss_cls: 0.0611, s1.acc: 95.6507, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0865, s2.loss_cls: 0.0321, s2.acc: 95.3511, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0408, loss: 0.9439 2022-09-15 12:20:41,299 - mmdet - INFO - Epoch [25][2750/7330] lr: 1.000e-04, eta: 1 day, 5:34:34, time: 1.220, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1674, s0.loss_cls: 0.1282, s0.acc: 95.2810, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1803, s1.loss_cls: 0.0618, s1.acc: 95.4091, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0856, s2.loss_cls: 0.0321, s2.acc: 95.1908, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0403, loss: 0.9456 2022-09-15 12:21:42,352 - mmdet - INFO - Epoch [25][2800/7330] lr: 1.000e-04, eta: 1 day, 5:32:49, time: 1.221, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1546, s0.loss_cls: 0.1228, s0.acc: 95.5127, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1808, s1.loss_cls: 0.0584, s1.acc: 95.7757, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0851, s2.loss_cls: 0.0298, s2.acc: 95.5800, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0404, loss: 0.9137 2022-09-15 12:22:43,667 - mmdet - INFO - Epoch [25][2850/7330] lr: 1.000e-04, eta: 1 day, 5:31:12, time: 1.226, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1616, s0.loss_cls: 0.1332, s0.acc: 95.1260, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1840, s1.loss_cls: 0.0640, s1.acc: 95.3115, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0867, s2.loss_cls: 0.0328, s2.acc: 95.1157, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0409, loss: 0.9560 2022-09-15 12:23:44,837 - mmdet - INFO - Epoch [25][2900/7330] lr: 1.000e-04, eta: 1 day, 5:29:33, time: 1.224, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1594, s0.loss_cls: 0.1291, s0.acc: 95.3538, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1842, s1.loss_cls: 0.0610, s1.acc: 95.6150, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0873, s2.loss_cls: 0.0309, s2.acc: 95.4585, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0413, loss: 0.9423 2022-09-15 12:24:46,222 - mmdet - INFO - Epoch [25][2950/7330] lr: 1.000e-04, eta: 1 day, 5:28:01, time: 1.228, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1597, s0.loss_cls: 0.1246, s0.acc: 95.4810, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1873, s1.loss_cls: 0.0594, s1.acc: 95.6784, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0886, s2.loss_cls: 0.0304, s2.acc: 95.4515, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0421, loss: 0.9382 2022-09-15 12:25:47,554 - mmdet - INFO - Epoch [25][3000/7330] lr: 1.000e-04, eta: 1 day, 5:26:28, time: 1.227, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1657, s0.loss_cls: 0.1230, s0.acc: 95.4390, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1816, s1.loss_cls: 0.0598, s1.acc: 95.6375, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0860, s2.loss_cls: 0.0310, s2.acc: 95.3401, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0409, loss: 0.9385 2022-09-15 12:26:48,311 - mmdet - INFO - Epoch [25][3050/7330] lr: 1.000e-04, eta: 1 day, 5:24:41, time: 1.215, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1185, s0.acc: 95.7017, s0.loss_bbox: 0.0642, s0.loss_mask: 0.1791, s1.loss_cls: 0.0556, s1.acc: 95.9686, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0860, s2.loss_cls: 0.0289, s2.acc: 95.7591, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0412, loss: 0.9106 2022-09-15 12:27:48,923 - mmdet - INFO - Epoch [25][3100/7330] lr: 1.000e-04, eta: 1 day, 5:22:51, time: 1.212, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1644, s0.loss_cls: 0.1179, s0.acc: 95.6458, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1816, s1.loss_cls: 0.0556, s1.acc: 95.9085, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0867, s2.loss_cls: 0.0289, s2.acc: 95.6247, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0410, loss: 0.9176 2022-09-15 12:28:50,387 - mmdet - INFO - Epoch [25][3150/7330] lr: 1.000e-04, eta: 1 day, 5:21:26, time: 1.229, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1680, s0.loss_cls: 0.1215, s0.acc: 95.4678, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1841, s1.loss_cls: 0.0571, s1.acc: 95.7824, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0865, s2.loss_cls: 0.0295, s2.acc: 95.4657, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0412, loss: 0.9346 2022-09-15 12:29:52,295 - mmdet - INFO - Epoch [25][3200/7330] lr: 1.000e-04, eta: 1 day, 5:20:13, time: 1.238, data_time: 0.027, memory: 64743, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1675, s0.loss_cls: 0.1235, s0.acc: 95.4624, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1797, s1.loss_cls: 0.0574, s1.acc: 95.7700, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0860, s2.loss_cls: 0.0296, s2.acc: 95.5749, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0407, loss: 0.9318 2022-09-15 12:30:53,539 - mmdet - INFO - Epoch [25][3250/7330] lr: 1.000e-04, eta: 1 day, 5:18:43, time: 1.225, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1223, s0.acc: 95.4685, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1785, s1.loss_cls: 0.0564, s1.acc: 95.8069, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0845, s2.loss_cls: 0.0290, s2.acc: 95.6545, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0401, loss: 0.9154 2022-09-15 12:31:54,502 - mmdet - INFO - Epoch [25][3300/7330] lr: 1.000e-04, eta: 1 day, 5:17:07, time: 1.219, data_time: 0.017, memory: 64743, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1642, s0.loss_cls: 0.1194, s0.acc: 95.7039, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1774, s1.loss_cls: 0.0563, s1.acc: 95.9713, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0840, s2.loss_cls: 0.0288, s2.acc: 95.7661, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0399, loss: 0.9038 2022-09-15 12:32:54,838 - mmdet - INFO - Epoch [25][3350/7330] lr: 1.000e-04, eta: 1 day, 5:15:16, time: 1.207, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1690, s0.loss_cls: 0.1201, s0.acc: 95.5322, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1886, s1.loss_cls: 0.0578, s1.acc: 95.6544, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0899, s2.loss_cls: 0.0299, s2.acc: 95.4874, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0425, loss: 0.9416 2022-09-15 12:33:55,436 - mmdet - INFO - Epoch [25][3400/7330] lr: 1.000e-04, eta: 1 day, 5:13:32, time: 1.211, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1691, s0.loss_cls: 0.1224, s0.acc: 95.5322, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1827, s1.loss_cls: 0.0577, s1.acc: 95.8765, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0866, s2.loss_cls: 0.0295, s2.acc: 95.6450, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0410, loss: 0.9320 2022-09-15 12:34:56,149 - mmdet - INFO - Epoch [25][3450/7330] lr: 1.000e-04, eta: 1 day, 5:11:53, time: 1.215, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1590, s0.loss_cls: 0.1160, s0.acc: 95.6587, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1833, s1.loss_cls: 0.0547, s1.acc: 95.8815, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0869, s2.loss_cls: 0.0281, s2.acc: 95.7333, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0412, loss: 0.9055 2022-09-15 12:35:58,333 - mmdet - INFO - Epoch [25][3500/7330] lr: 1.000e-04, eta: 1 day, 5:10:51, time: 1.244, data_time: 0.016, memory: 64743, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1243, s0.acc: 95.3589, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1847, s1.loss_cls: 0.0586, s1.acc: 95.6866, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0878, s2.loss_cls: 0.0301, s2.acc: 95.4248, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0415, loss: 0.9423 2022-09-15 12:36:59,197 - mmdet - INFO - Epoch [25][3550/7330] lr: 1.000e-04, eta: 1 day, 5:09:17, time: 1.217, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1687, s0.loss_cls: 0.1259, s0.acc: 95.4163, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1795, s1.loss_cls: 0.0596, s1.acc: 95.7187, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0851, s2.loss_cls: 0.0306, s2.acc: 95.5360, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0406, loss: 0.9351 2022-09-15 12:37:59,778 - mmdet - INFO - Epoch [25][3600/7330] lr: 1.000e-04, eta: 1 day, 5:07:38, time: 1.212, data_time: 0.015, memory: 64743, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1231, s0.acc: 95.5171, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1886, s1.loss_cls: 0.0589, s1.acc: 95.7401, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0891, s2.loss_cls: 0.0298, s2.acc: 95.5882, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0423, loss: 0.9444 2022-09-15 12:38:59,877 - mmdet - INFO - Epoch [25][3650/7330] lr: 1.000e-04, eta: 1 day, 5:05:48, time: 1.201, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1601, s0.loss_cls: 0.1188, s0.acc: 95.6165, s0.loss_bbox: 0.0671, s0.loss_mask: 0.1830, s1.loss_cls: 0.0568, s1.acc: 95.8317, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0868, s2.loss_cls: 0.0286, s2.acc: 95.7342, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0414, loss: 0.9110 2022-09-15 12:40:01,561 - mmdet - INFO - Epoch [25][3700/7330] lr: 1.000e-04, eta: 1 day, 5:04:36, time: 1.235, data_time: 0.028, memory: 64743, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1274, s0.acc: 95.3325, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1882, s1.loss_cls: 0.0611, s1.acc: 95.5212, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0902, s2.loss_cls: 0.0316, s2.acc: 95.1875, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0425, loss: 0.9595 2022-09-15 12:41:02,477 - mmdet - INFO - Epoch [25][3750/7330] lr: 1.000e-04, eta: 1 day, 5:03:07, time: 1.218, data_time: 0.027, memory: 64743, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1633, s0.loss_cls: 0.1191, s0.acc: 95.5898, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1831, s1.loss_cls: 0.0566, s1.acc: 95.8549, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0860, s2.loss_cls: 0.0293, s2.acc: 95.5699, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0410, loss: 0.9246 2022-09-15 12:42:03,181 - mmdet - INFO - Epoch [25][3800/7330] lr: 1.000e-04, eta: 1 day, 5:01:34, time: 1.215, data_time: 0.028, memory: 64743, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1631, s0.loss_cls: 0.1194, s0.acc: 95.5483, s0.loss_bbox: 0.0663, s0.loss_mask: 0.1798, s1.loss_cls: 0.0566, s1.acc: 95.7685, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0857, s2.loss_cls: 0.0296, s2.acc: 95.4967, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0410, loss: 0.9121 2022-09-15 12:43:03,698 - mmdet - INFO - Epoch [25][3850/7330] lr: 1.000e-04, eta: 1 day, 4:59:58, time: 1.210, data_time: 0.017, memory: 64743, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1246, s0.acc: 95.3962, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1825, s1.loss_cls: 0.0604, s1.acc: 95.5593, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0875, s2.loss_cls: 0.0310, s2.acc: 95.3606, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0415, loss: 0.9378 2022-09-15 12:44:04,196 - mmdet - INFO - Epoch [25][3900/7330] lr: 1.000e-04, eta: 1 day, 4:58:22, time: 1.210, data_time: 0.017, memory: 64743, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1652, s0.loss_cls: 0.1189, s0.acc: 95.5955, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1788, s1.loss_cls: 0.0563, s1.acc: 95.8559, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0847, s2.loss_cls: 0.0294, s2.acc: 95.5495, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0400, loss: 0.9129 2022-09-15 12:45:05,502 - mmdet - INFO - Epoch [25][3950/7330] lr: 1.000e-04, eta: 1 day, 4:57:05, time: 1.226, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1228, s0.acc: 95.4890, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1794, s1.loss_cls: 0.0589, s1.acc: 95.6876, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0853, s2.loss_cls: 0.0305, s2.acc: 95.5069, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0407, loss: 0.9285 2022-09-15 12:46:06,275 - mmdet - INFO - Epoch [25][4000/7330] lr: 1.000e-04, eta: 1 day, 4:55:36, time: 1.215, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1610, s0.loss_cls: 0.1239, s0.acc: 95.4028, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1844, s1.loss_cls: 0.0586, s1.acc: 95.6622, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0872, s2.loss_cls: 0.0307, s2.acc: 95.3636, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0412, loss: 0.9289 2022-09-15 12:47:07,315 - mmdet - INFO - Epoch [25][4050/7330] lr: 1.000e-04, eta: 1 day, 4:54:14, time: 1.221, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1604, s0.loss_cls: 0.1205, s0.acc: 95.5623, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1805, s1.loss_cls: 0.0575, s1.acc: 95.7688, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0855, s2.loss_cls: 0.0296, s2.acc: 95.5955, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0408, loss: 0.9138 2022-09-15 12:48:08,415 - mmdet - INFO - Epoch [25][4100/7330] lr: 1.000e-04, eta: 1 day, 4:52:54, time: 1.222, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1250, s0.acc: 95.4736, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1878, s1.loss_cls: 0.0595, s1.acc: 95.7053, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0884, s2.loss_cls: 0.0305, s2.acc: 95.5349, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0419, loss: 0.9404 2022-09-15 12:49:08,752 - mmdet - INFO - Epoch [25][4150/7330] lr: 1.000e-04, eta: 1 day, 4:51:18, time: 1.207, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1112, s0.acc: 95.9028, s0.loss_bbox: 0.0643, s0.loss_mask: 0.1786, s1.loss_cls: 0.0522, s1.acc: 96.1539, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0846, s2.loss_cls: 0.0270, s2.acc: 95.9351, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0404, loss: 0.8878 2022-09-15 12:50:09,660 - mmdet - INFO - Epoch [25][4200/7330] lr: 1.000e-04, eta: 1 day, 4:49:55, time: 1.218, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1642, s0.loss_cls: 0.1210, s0.acc: 95.5635, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1829, s1.loss_cls: 0.0573, s1.acc: 95.7678, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0867, s2.loss_cls: 0.0297, s2.acc: 95.6423, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0412, loss: 0.9229 2022-09-15 12:51:10,399 - mmdet - INFO - Epoch [25][4250/7330] lr: 1.000e-04, eta: 1 day, 4:48:29, time: 1.215, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1697, s0.loss_cls: 0.1159, s0.acc: 95.7100, s0.loss_bbox: 0.0635, s0.loss_mask: 0.1805, s1.loss_cls: 0.0548, s1.acc: 95.9935, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0851, s2.loss_cls: 0.0285, s2.acc: 95.7126, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0401, loss: 0.9054 2022-09-15 12:52:11,960 - mmdet - INFO - Epoch [25][4300/7330] lr: 1.000e-04, eta: 1 day, 4:47:19, time: 1.231, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1176, s0.acc: 95.6782, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1818, s1.loss_cls: 0.0555, s1.acc: 95.9299, s1.loss_bbox: 0.0775, s1.loss_mask: 0.0852, s2.loss_cls: 0.0282, s2.acc: 95.8021, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0404, loss: 0.9134 2022-09-15 12:53:12,761 - mmdet - INFO - Epoch [25][4350/7330] lr: 1.000e-04, eta: 1 day, 4:45:56, time: 1.217, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1698, s0.loss_cls: 0.1282, s0.acc: 95.3303, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1804, s1.loss_cls: 0.0602, s1.acc: 95.5356, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0853, s2.loss_cls: 0.0306, s2.acc: 95.4260, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0407, loss: 0.9479 2022-09-15 12:54:13,086 - mmdet - INFO - Epoch [25][4400/7330] lr: 1.000e-04, eta: 1 day, 4:44:23, time: 1.206, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1627, s0.loss_cls: 0.1259, s0.acc: 95.4109, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1847, s1.loss_cls: 0.0601, s1.acc: 95.6364, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0876, s2.loss_cls: 0.0306, s2.acc: 95.5432, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0417, loss: 0.9428 2022-09-15 12:55:13,243 - mmdet - INFO - Epoch [25][4450/7330] lr: 1.000e-04, eta: 1 day, 4:42:48, time: 1.203, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1589, s0.loss_cls: 0.1259, s0.acc: 95.4087, s0.loss_bbox: 0.0718, s0.loss_mask: 0.1826, s1.loss_cls: 0.0598, s1.acc: 95.6530, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0871, s2.loss_cls: 0.0306, s2.acc: 95.4750, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0412, loss: 0.9377 2022-09-15 12:56:14,281 - mmdet - INFO - Epoch [25][4500/7330] lr: 1.000e-04, eta: 1 day, 4:41:30, time: 1.220, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1571, s0.loss_cls: 0.1180, s0.acc: 95.6438, s0.loss_bbox: 0.0646, s0.loss_mask: 0.1759, s1.loss_cls: 0.0552, s1.acc: 95.9076, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0837, s2.loss_cls: 0.0287, s2.acc: 95.7389, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0400, loss: 0.8924 2022-09-15 12:57:15,344 - mmdet - INFO - Epoch [25][4550/7330] lr: 1.000e-04, eta: 1 day, 4:40:14, time: 1.221, data_time: 0.028, memory: 64743, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1583, s0.loss_cls: 0.1282, s0.acc: 95.2786, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1865, s1.loss_cls: 0.0607, s1.acc: 95.5365, s1.loss_bbox: 0.0862, s1.loss_mask: 0.0886, s2.loss_cls: 0.0319, s2.acc: 95.2179, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0418, loss: 0.9567 2022-09-15 12:58:15,444 - mmdet - INFO - Epoch [25][4600/7330] lr: 1.000e-04, eta: 1 day, 4:38:40, time: 1.202, data_time: 0.018, memory: 64743, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1530, s0.loss_cls: 0.1295, s0.acc: 95.2549, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1878, s1.loss_cls: 0.0611, s1.acc: 95.5162, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0885, s2.loss_cls: 0.0318, s2.acc: 95.1835, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0419, loss: 0.9444 2022-09-15 12:59:16,523 - mmdet - INFO - Epoch [25][4650/7330] lr: 1.000e-04, eta: 1 day, 4:37:24, time: 1.222, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1261, s0.acc: 95.3596, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1831, s1.loss_cls: 0.0607, s1.acc: 95.5582, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0861, s2.loss_cls: 0.0313, s2.acc: 95.3704, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0409, loss: 0.9406 2022-09-15 13:00:17,974 - mmdet - INFO - Epoch [25][4700/7330] lr: 1.000e-04, eta: 1 day, 4:36:15, time: 1.229, data_time: 0.030, memory: 64743, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1209, s0.acc: 95.4797, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1778, s1.loss_cls: 0.0566, s1.acc: 95.7633, s1.loss_bbox: 0.0778, s1.loss_mask: 0.0846, s2.loss_cls: 0.0295, s2.acc: 95.5538, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0402, loss: 0.9125 2022-09-15 13:01:18,388 - mmdet - INFO - Epoch [25][4750/7330] lr: 1.000e-04, eta: 1 day, 4:34:48, time: 1.208, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1594, s0.loss_cls: 0.1182, s0.acc: 95.5676, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1823, s1.loss_cls: 0.0565, s1.acc: 95.7755, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0864, s2.loss_cls: 0.0290, s2.acc: 95.5838, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0410, loss: 0.9158 2022-09-15 13:02:19,898 - mmdet - INFO - Epoch [25][4800/7330] lr: 1.000e-04, eta: 1 day, 4:33:41, time: 1.230, data_time: 0.018, memory: 64743, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1284, s0.acc: 95.3486, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1885, s1.loss_cls: 0.0609, s1.acc: 95.6361, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0888, s2.loss_cls: 0.0310, s2.acc: 95.4648, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0419, loss: 0.9518 2022-09-15 13:03:20,328 - mmdet - INFO - Epoch [25][4850/7330] lr: 1.000e-04, eta: 1 day, 4:32:15, time: 1.209, data_time: 0.015, memory: 64743, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1219, s0.acc: 95.5125, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1915, s1.loss_cls: 0.0576, s1.acc: 95.7488, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0913, s2.loss_cls: 0.0299, s2.acc: 95.4256, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0430, loss: 0.9472 2022-09-15 13:04:21,459 - mmdet - INFO - Epoch [25][4900/7330] lr: 1.000e-04, eta: 1 day, 4:31:02, time: 1.222, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1644, s0.loss_cls: 0.1267, s0.acc: 95.4795, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1869, s1.loss_cls: 0.0606, s1.acc: 95.6586, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0883, s2.loss_cls: 0.0310, s2.acc: 95.5103, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0417, loss: 0.9441 2022-09-15 13:05:22,448 - mmdet - INFO - Epoch [25][4950/7330] lr: 1.000e-04, eta: 1 day, 4:29:47, time: 1.220, data_time: 0.027, memory: 64743, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1702, s0.loss_cls: 0.1214, s0.acc: 95.5925, s0.loss_bbox: 0.0651, s0.loss_mask: 0.1821, s1.loss_cls: 0.0580, s1.acc: 95.7770, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0864, s2.loss_cls: 0.0296, s2.acc: 95.6472, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0408, loss: 0.9237 2022-09-15 13:06:24,118 - mmdet - INFO - Epoch [25][5000/7330] lr: 1.000e-04, eta: 1 day, 4:28:43, time: 1.233, data_time: 0.027, memory: 64743, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1598, s0.loss_cls: 0.1279, s0.acc: 95.4021, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1813, s1.loss_cls: 0.0607, s1.acc: 95.6221, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0863, s2.loss_cls: 0.0314, s2.acc: 95.3733, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0409, loss: 0.9293 2022-09-15 13:07:24,427 - mmdet - INFO - Epoch [25][5050/7330] lr: 1.000e-04, eta: 1 day, 4:27:17, time: 1.206, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1667, s0.loss_cls: 0.1249, s0.acc: 95.4460, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1810, s1.loss_cls: 0.0590, s1.acc: 95.6536, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0858, s2.loss_cls: 0.0304, s2.acc: 95.3674, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0407, loss: 0.9304 2022-09-15 13:08:25,290 - mmdet - INFO - Epoch [25][5100/7330] lr: 1.000e-04, eta: 1 day, 4:26:00, time: 1.217, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1225, s0.acc: 95.4805, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1779, s1.loss_cls: 0.0579, s1.acc: 95.7095, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0846, s2.loss_cls: 0.0297, s2.acc: 95.4385, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0401, loss: 0.9205 2022-09-15 13:09:26,093 - mmdet - INFO - Epoch [25][5150/7330] lr: 1.000e-04, eta: 1 day, 4:24:43, time: 1.216, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1142, s0.acc: 95.7273, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1831, s1.loss_cls: 0.0535, s1.acc: 95.9574, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0871, s2.loss_cls: 0.0279, s2.acc: 95.7712, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0406, loss: 0.9100 2022-09-15 13:10:25,864 - mmdet - INFO - Epoch [25][5200/7330] lr: 1.000e-04, eta: 1 day, 4:23:10, time: 1.195, data_time: 0.014, memory: 64743, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1683, s0.loss_cls: 0.1230, s0.acc: 95.4829, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1828, s1.loss_cls: 0.0590, s1.acc: 95.6449, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0864, s2.loss_cls: 0.0300, s2.acc: 95.5350, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0410, loss: 0.9294 2022-09-15 13:11:26,477 - mmdet - INFO - Epoch [25][5250/7330] lr: 1.000e-04, eta: 1 day, 4:21:50, time: 1.212, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1237, s0.acc: 95.4646, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1810, s1.loss_cls: 0.0585, s1.acc: 95.6895, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0868, s2.loss_cls: 0.0300, s2.acc: 95.4738, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0407, loss: 0.9220 2022-09-15 13:12:27,089 - mmdet - INFO - Epoch [25][5300/7330] lr: 1.000e-04, eta: 1 day, 4:20:31, time: 1.213, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1235, s0.acc: 95.4565, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1793, s1.loss_cls: 0.0587, s1.acc: 95.6968, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0848, s2.loss_cls: 0.0301, s2.acc: 95.4161, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0404, loss: 0.9280 2022-09-15 13:13:27,139 - mmdet - INFO - Epoch [25][5350/7330] lr: 1.000e-04, eta: 1 day, 4:19:03, time: 1.201, data_time: 0.015, memory: 64743, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1617, s0.loss_cls: 0.1271, s0.acc: 95.3730, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1852, s1.loss_cls: 0.0608, s1.acc: 95.5707, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0871, s2.loss_cls: 0.0310, s2.acc: 95.3768, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0411, loss: 0.9440 2022-09-15 13:14:28,202 - mmdet - INFO - Epoch [25][5400/7330] lr: 1.000e-04, eta: 1 day, 4:17:52, time: 1.221, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1688, s0.loss_cls: 0.1251, s0.acc: 95.3926, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1824, s1.loss_cls: 0.0590, s1.acc: 95.6888, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0865, s2.loss_cls: 0.0308, s2.acc: 95.3325, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0409, loss: 0.9469 2022-09-15 13:15:29,798 - mmdet - INFO - Epoch [25][5450/7330] lr: 1.000e-04, eta: 1 day, 4:16:49, time: 1.232, data_time: 0.027, memory: 64743, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1557, s0.loss_cls: 0.1298, s0.acc: 95.2170, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1884, s1.loss_cls: 0.0625, s1.acc: 95.4241, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0896, s2.loss_cls: 0.0325, s2.acc: 95.1204, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0423, loss: 0.9579 2022-09-15 13:16:31,741 - mmdet - INFO - Epoch [25][5500/7330] lr: 1.000e-04, eta: 1 day, 4:15:51, time: 1.239, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1605, s0.loss_cls: 0.1268, s0.acc: 95.3562, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1799, s1.loss_cls: 0.0610, s1.acc: 95.5907, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0852, s2.loss_cls: 0.0315, s2.acc: 95.3312, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0401, loss: 0.9261 2022-09-15 13:17:31,933 - mmdet - INFO - Epoch [25][5550/7330] lr: 1.000e-04, eta: 1 day, 4:14:27, time: 1.204, data_time: 0.028, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1718, s0.loss_cls: 0.1278, s0.acc: 95.2815, s0.loss_bbox: 0.0733, s0.loss_mask: 0.1852, s1.loss_cls: 0.0609, s1.acc: 95.4892, s1.loss_bbox: 0.0855, s1.loss_mask: 0.0873, s2.loss_cls: 0.0315, s2.acc: 95.2382, s2.loss_bbox: 0.0559, s2.loss_mask: 0.0413, loss: 0.9642 2022-09-15 13:18:32,778 - mmdet - INFO - Epoch [25][5600/7330] lr: 1.000e-04, eta: 1 day, 4:13:13, time: 1.217, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1288, s0.acc: 95.2615, s0.loss_bbox: 0.0732, s0.loss_mask: 0.1836, s1.loss_cls: 0.0604, s1.acc: 95.5454, s1.loss_bbox: 0.0843, s1.loss_mask: 0.0871, s2.loss_cls: 0.0308, s2.acc: 95.3878, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0411, loss: 0.9503 2022-09-15 13:19:33,511 - mmdet - INFO - Epoch [25][5650/7330] lr: 1.000e-04, eta: 1 day, 4:11:57, time: 1.214, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1663, s0.loss_cls: 0.1227, s0.acc: 95.4780, s0.loss_bbox: 0.0683, s0.loss_mask: 0.1878, s1.loss_cls: 0.0576, s1.acc: 95.7675, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0886, s2.loss_cls: 0.0295, s2.acc: 95.6286, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0416, loss: 0.9343 2022-09-15 13:20:35,160 - mmdet - INFO - Epoch [25][5700/7330] lr: 1.000e-04, eta: 1 day, 4:10:55, time: 1.233, data_time: 0.026, memory: 64743, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1273, s0.acc: 95.3516, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1808, s1.loss_cls: 0.0613, s1.acc: 95.5354, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0856, s2.loss_cls: 0.0314, s2.acc: 95.3712, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0407, loss: 0.9425 2022-09-15 13:21:36,213 - mmdet - INFO - Epoch [25][5750/7330] lr: 1.000e-04, eta: 1 day, 4:09:45, time: 1.221, data_time: 0.015, memory: 64743, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1201, s0.acc: 95.6497, s0.loss_bbox: 0.0653, s0.loss_mask: 0.1821, s1.loss_cls: 0.0572, s1.acc: 95.9330, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0871, s2.loss_cls: 0.0294, s2.acc: 95.6601, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0412, loss: 0.9163 2022-09-15 13:22:36,234 - mmdet - INFO - Epoch [25][5800/7330] lr: 1.000e-04, eta: 1 day, 4:08:19, time: 1.199, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1638, s0.loss_cls: 0.1214, s0.acc: 95.5630, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1801, s1.loss_cls: 0.0567, s1.acc: 95.8931, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0855, s2.loss_cls: 0.0301, s2.acc: 95.6322, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0405, loss: 0.9225 2022-09-15 13:23:37,711 - mmdet - INFO - Epoch [25][5850/7330] lr: 1.000e-04, eta: 1 day, 4:07:15, time: 1.230, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1266, s0.acc: 95.3542, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1838, s1.loss_cls: 0.0594, s1.acc: 95.6466, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0872, s2.loss_cls: 0.0304, s2.acc: 95.5474, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0414, loss: 0.9376 2022-09-15 13:24:38,267 - mmdet - INFO - Epoch [25][5900/7330] lr: 1.000e-04, eta: 1 day, 4:05:59, time: 1.212, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1626, s0.loss_cls: 0.1239, s0.acc: 95.3877, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1852, s1.loss_cls: 0.0585, s1.acc: 95.6701, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0878, s2.loss_cls: 0.0307, s2.acc: 95.3512, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0414, loss: 0.9425 2022-09-15 13:25:38,168 - mmdet - INFO - Epoch [25][5950/7330] lr: 1.000e-04, eta: 1 day, 4:04:33, time: 1.198, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1641, s0.loss_cls: 0.1177, s0.acc: 95.6377, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1744, s1.loss_cls: 0.0559, s1.acc: 95.8680, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0831, s2.loss_cls: 0.0290, s2.acc: 95.6622, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0393, loss: 0.8975 2022-09-15 13:26:40,165 - mmdet - INFO - Epoch [25][6000/7330] lr: 1.000e-04, eta: 1 day, 4:03:37, time: 1.240, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0264, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1266, s0.acc: 95.3384, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1793, s1.loss_cls: 0.0600, s1.acc: 95.6147, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0851, s2.loss_cls: 0.0311, s2.acc: 95.4044, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0405, loss: 0.9400 2022-09-15 13:27:40,485 - mmdet - INFO - Epoch [25][6050/7330] lr: 1.000e-04, eta: 1 day, 4:02:17, time: 1.206, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1695, s0.loss_cls: 0.1204, s0.acc: 95.6772, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1777, s1.loss_cls: 0.0566, s1.acc: 95.9073, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0845, s2.loss_cls: 0.0294, s2.acc: 95.6171, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0402, loss: 0.9126 2022-09-15 13:28:40,746 - mmdet - INFO - Epoch [25][6100/7330] lr: 1.000e-04, eta: 1 day, 4:00:58, time: 1.206, data_time: 0.017, memory: 64743, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1584, s0.loss_cls: 0.1191, s0.acc: 95.6411, s0.loss_bbox: 0.0658, s0.loss_mask: 0.1822, s1.loss_cls: 0.0575, s1.acc: 95.8443, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0863, s2.loss_cls: 0.0297, s2.acc: 95.5430, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0404, loss: 0.9114 2022-09-15 13:29:41,168 - mmdet - INFO - Epoch [25][6150/7330] lr: 1.000e-04, eta: 1 day, 3:59:40, time: 1.208, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1689, s0.loss_cls: 0.1219, s0.acc: 95.6292, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1803, s1.loss_cls: 0.0586, s1.acc: 95.8483, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0853, s2.loss_cls: 0.0305, s2.acc: 95.5667, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0403, loss: 0.9227 2022-09-15 13:30:41,900 - mmdet - INFO - Epoch [25][6200/7330] lr: 1.000e-04, eta: 1 day, 3:58:27, time: 1.214, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1236, s0.acc: 95.4360, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1821, s1.loss_cls: 0.0578, s1.acc: 95.7568, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0862, s2.loss_cls: 0.0301, s2.acc: 95.5280, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0410, loss: 0.9282 2022-09-15 13:31:43,224 - mmdet - INFO - Epoch [25][6250/7330] lr: 1.000e-04, eta: 1 day, 3:57:23, time: 1.227, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1640, s0.loss_cls: 0.1222, s0.acc: 95.4897, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1807, s1.loss_cls: 0.0597, s1.acc: 95.5739, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0856, s2.loss_cls: 0.0314, s2.acc: 95.2386, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0404, loss: 0.9281 2022-09-15 13:32:44,954 - mmdet - INFO - Epoch [25][6300/7330] lr: 1.000e-04, eta: 1 day, 3:56:22, time: 1.234, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1297, s0.acc: 95.2156, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1874, s1.loss_cls: 0.0616, s1.acc: 95.4423, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0885, s2.loss_cls: 0.0320, s2.acc: 95.1786, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0421, loss: 0.9579 2022-09-15 13:33:46,819 - mmdet - INFO - Epoch [25][6350/7330] lr: 1.000e-04, eta: 1 day, 3:55:25, time: 1.238, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1301, s0.acc: 95.1953, s0.loss_bbox: 0.0755, s0.loss_mask: 0.1890, s1.loss_cls: 0.0614, s1.acc: 95.4516, s1.loss_bbox: 0.0865, s1.loss_mask: 0.0891, s2.loss_cls: 0.0317, s2.acc: 95.2324, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0423, loss: 0.9725 2022-09-15 13:34:47,961 - mmdet - INFO - Epoch [25][6400/7330] lr: 1.000e-04, eta: 1 day, 3:54:17, time: 1.223, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1242, s0.acc: 95.4670, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1853, s1.loss_cls: 0.0586, s1.acc: 95.6789, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0881, s2.loss_cls: 0.0308, s2.acc: 95.3784, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0413, loss: 0.9410 2022-09-15 13:35:48,823 - mmdet - INFO - Epoch [25][6450/7330] lr: 1.000e-04, eta: 1 day, 3:53:07, time: 1.218, data_time: 0.018, memory: 64743, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1679, s0.loss_cls: 0.1255, s0.acc: 95.4114, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1809, s1.loss_cls: 0.0595, s1.acc: 95.6900, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0857, s2.loss_cls: 0.0301, s2.acc: 95.5419, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0405, loss: 0.9317 2022-09-15 13:36:49,388 - mmdet - INFO - Epoch [25][6500/7330] lr: 1.000e-04, eta: 1 day, 3:51:52, time: 1.210, data_time: 0.016, memory: 64743, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1247, s0.acc: 95.3784, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1845, s1.loss_cls: 0.0600, s1.acc: 95.6080, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0864, s2.loss_cls: 0.0310, s2.acc: 95.3700, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0410, loss: 0.9415 2022-09-15 13:37:50,288 - mmdet - INFO - Epoch [25][6550/7330] lr: 1.000e-04, eta: 1 day, 3:50:42, time: 1.219, data_time: 0.026, memory: 64743, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1302, s0.acc: 95.3052, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1848, s1.loss_cls: 0.0614, s1.acc: 95.5307, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0876, s2.loss_cls: 0.0316, s2.acc: 95.2782, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0412, loss: 0.9543 2022-09-15 13:38:51,136 - mmdet - INFO - Epoch [25][6600/7330] lr: 1.000e-04, eta: 1 day, 3:49:32, time: 1.217, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1183, s0.acc: 95.5964, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1820, s1.loss_cls: 0.0568, s1.acc: 95.8183, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0865, s2.loss_cls: 0.0294, s2.acc: 95.4878, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0410, loss: 0.9198 2022-09-15 13:39:52,263 - mmdet - INFO - Epoch [25][6650/7330] lr: 1.000e-04, eta: 1 day, 3:48:25, time: 1.223, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1666, s0.loss_cls: 0.1209, s0.acc: 95.6338, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1794, s1.loss_cls: 0.0572, s1.acc: 95.9152, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0852, s2.loss_cls: 0.0291, s2.acc: 95.8183, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0405, loss: 0.9195 2022-09-15 13:40:53,996 - mmdet - INFO - Epoch [25][6700/7330] lr: 1.000e-04, eta: 1 day, 3:47:25, time: 1.234, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1714, s0.loss_cls: 0.1204, s0.acc: 95.5122, s0.loss_bbox: 0.0675, s0.loss_mask: 0.1830, s1.loss_cls: 0.0566, s1.acc: 95.7716, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0870, s2.loss_cls: 0.0293, s2.acc: 95.5321, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0413, loss: 0.9307 2022-09-15 13:41:55,282 - mmdet - INFO - Epoch [25][6750/7330] lr: 1.000e-04, eta: 1 day, 3:46:21, time: 1.226, data_time: 0.015, memory: 64743, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1588, s0.loss_cls: 0.1157, s0.acc: 95.6853, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1821, s1.loss_cls: 0.0542, s1.acc: 95.9289, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0867, s2.loss_cls: 0.0285, s2.acc: 95.6957, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0409, loss: 0.9044 2022-09-15 13:42:55,211 - mmdet - INFO - Epoch [25][6800/7330] lr: 1.000e-04, eta: 1 day, 3:45:00, time: 1.199, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1607, s0.loss_cls: 0.1188, s0.acc: 95.5688, s0.loss_bbox: 0.0664, s0.loss_mask: 0.1801, s1.loss_cls: 0.0576, s1.acc: 95.6743, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0848, s2.loss_cls: 0.0302, s2.acc: 95.4459, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0404, loss: 0.9093 2022-09-15 13:43:58,113 - mmdet - INFO - Epoch [25][6850/7330] lr: 1.000e-04, eta: 1 day, 3:44:14, time: 1.258, data_time: 0.047, memory: 64743, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1612, s0.loss_cls: 0.1241, s0.acc: 95.4346, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1807, s1.loss_cls: 0.0594, s1.acc: 95.6936, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0862, s2.loss_cls: 0.0307, s2.acc: 95.5214, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0408, loss: 0.9254 2022-09-15 13:44:59,192 - mmdet - INFO - Epoch [25][6900/7330] lr: 1.000e-04, eta: 1 day, 3:43:07, time: 1.221, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1680, s0.loss_cls: 0.1293, s0.acc: 95.3469, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1853, s1.loss_cls: 0.0618, s1.acc: 95.5087, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0878, s2.loss_cls: 0.0315, s2.acc: 95.3135, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0415, loss: 0.9530 2022-09-15 13:46:02,073 - mmdet - INFO - Epoch [25][6950/7330] lr: 1.000e-04, eta: 1 day, 3:42:21, time: 1.257, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1300, s0.acc: 95.2212, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1803, s1.loss_cls: 0.0630, s1.acc: 95.3883, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0861, s2.loss_cls: 0.0326, s2.acc: 95.1035, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0407, loss: 0.9473 2022-09-15 13:47:02,550 - mmdet - INFO - Epoch [25][7000/7330] lr: 1.000e-04, eta: 1 day, 3:41:07, time: 1.211, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1543, s0.loss_cls: 0.1227, s0.acc: 95.4946, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1870, s1.loss_cls: 0.0583, s1.acc: 95.7427, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0885, s2.loss_cls: 0.0303, s2.acc: 95.4371, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0419, loss: 0.9266 2022-09-15 13:48:04,712 - mmdet - INFO - Epoch [25][7050/7330] lr: 1.000e-04, eta: 1 day, 3:40:12, time: 1.243, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1284, s0.acc: 95.2129, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1832, s1.loss_cls: 0.0601, s1.acc: 95.5437, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0860, s2.loss_cls: 0.0311, s2.acc: 95.2888, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0408, loss: 0.9446 2022-09-15 13:49:04,336 - mmdet - INFO - Epoch [25][7100/7330] lr: 1.000e-04, eta: 1 day, 3:38:49, time: 1.192, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1633, s0.loss_cls: 0.1156, s0.acc: 95.6838, s0.loss_bbox: 0.0650, s0.loss_mask: 0.1781, s1.loss_cls: 0.0546, s1.acc: 95.9652, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0850, s2.loss_cls: 0.0285, s2.acc: 95.7355, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0401, loss: 0.8963 2022-09-15 13:50:05,408 - mmdet - INFO - Epoch [25][7150/7330] lr: 1.000e-04, eta: 1 day, 3:37:42, time: 1.222, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1292, s0.acc: 95.2871, s0.loss_bbox: 0.0721, s0.loss_mask: 0.1831, s1.loss_cls: 0.0614, s1.acc: 95.5169, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0865, s2.loss_cls: 0.0315, s2.acc: 95.3793, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0407, loss: 0.9438 2022-09-15 13:51:07,936 - mmdet - INFO - Epoch [25][7200/7330] lr: 1.000e-04, eta: 1 day, 3:36:51, time: 1.250, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1200, s0.acc: 95.4846, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1826, s1.loss_cls: 0.0571, s1.acc: 95.7359, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0859, s2.loss_cls: 0.0299, s2.acc: 95.5074, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0406, loss: 0.9225 2022-09-15 13:52:09,279 - mmdet - INFO - Epoch [25][7250/7330] lr: 1.000e-04, eta: 1 day, 3:35:48, time: 1.228, data_time: 0.026, memory: 64743, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1567, s0.loss_cls: 0.1245, s0.acc: 95.3889, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1849, s1.loss_cls: 0.0594, s1.acc: 95.5833, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0879, s2.loss_cls: 0.0309, s2.acc: 95.3793, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0415, loss: 0.9289 2022-09-15 13:53:10,044 - mmdet - INFO - Epoch [25][7300/7330] lr: 1.000e-04, eta: 1 day, 3:34:38, time: 1.215, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1659, s0.loss_cls: 0.1388, s0.acc: 94.8435, s0.loss_bbox: 0.0766, s0.loss_mask: 0.1878, s1.loss_cls: 0.0664, s1.acc: 95.0858, s1.loss_bbox: 0.0868, s1.loss_mask: 0.0891, s2.loss_cls: 0.0338, s2.acc: 94.8774, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0424, loss: 0.9920 2022-09-15 13:53:55,598 - mmdet - INFO - Saving checkpoint at 25 epochs 2022-09-15 13:57:11,746 - mmdet - INFO - Evaluating bbox... 2022-09-15 13:57:56,661 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.569 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.756 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.629 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.435 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.603 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.700 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.733 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.733 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.733 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.604 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.770 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.858 2022-09-15 13:57:56,662 - mmdet - INFO - Evaluating segm... 2022-09-15 13:58:51,455 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.495 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.735 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.543 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.326 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.525 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.672 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.497 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.674 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.778 2022-09-15 13:58:52,485 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 13:58:52,486 - mmdet - INFO - Epoch(val) [25][313] bbox_mAP: 0.5690, bbox_mAP_50: 0.7560, bbox_mAP_75: 0.6290, bbox_mAP_s: 0.4350, bbox_mAP_m: 0.6030, bbox_mAP_l: 0.7000, bbox_mAP_copypaste: 0.569 0.756 0.629 0.435 0.603 0.700, segm_mAP: 0.4950, segm_mAP_50: 0.7350, segm_mAP_75: 0.5430, segm_mAP_s: 0.3260, segm_mAP_m: 0.5250, segm_mAP_l: 0.6720, segm_mAP_copypaste: 0.495 0.735 0.543 0.326 0.525 0.672 2022-09-15 14:01:52,500 - mmdet - INFO - Epoch [26][50/7330] lr: 1.000e-04, eta: 1 day, 3:47:49, time: 3.600, data_time: 2.377, memory: 64743, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1606, s0.loss_cls: 0.1228, s0.acc: 95.4114, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1806, s1.loss_cls: 0.0577, s1.acc: 95.7334, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0852, s2.loss_cls: 0.0298, s2.acc: 95.4975, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0400, loss: 0.9213 2022-09-15 14:02:53,280 - mmdet - INFO - Epoch [26][100/7330] lr: 1.000e-04, eta: 1 day, 3:46:33, time: 1.216, data_time: 0.027, memory: 64743, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1653, s0.loss_cls: 0.1172, s0.acc: 95.6399, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1853, s1.loss_cls: 0.0547, s1.acc: 95.9514, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0877, s2.loss_cls: 0.0282, s2.acc: 95.7364, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0417, loss: 0.9201 2022-09-15 14:03:54,839 - mmdet - INFO - Epoch [26][150/7330] lr: 1.000e-04, eta: 1 day, 3:45:25, time: 1.231, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1608, s0.loss_cls: 0.1225, s0.acc: 95.4675, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1832, s1.loss_cls: 0.0582, s1.acc: 95.6655, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0866, s2.loss_cls: 0.0298, s2.acc: 95.4439, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0412, loss: 0.9244 2022-09-15 14:04:55,912 - mmdet - INFO - Epoch [26][200/7330] lr: 1.000e-04, eta: 1 day, 3:44:12, time: 1.222, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1563, s0.loss_cls: 0.1176, s0.acc: 95.6062, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1791, s1.loss_cls: 0.0560, s1.acc: 95.8247, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0848, s2.loss_cls: 0.0291, s2.acc: 95.5867, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0401, loss: 0.9020 2022-09-15 14:05:57,652 - mmdet - INFO - Epoch [26][250/7330] lr: 1.000e-04, eta: 1 day, 3:43:07, time: 1.235, data_time: 0.030, memory: 64743, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1175, s0.acc: 95.6414, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1773, s1.loss_cls: 0.0554, s1.acc: 95.9232, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0842, s2.loss_cls: 0.0289, s2.acc: 95.6825, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0401, loss: 0.9084 2022-09-15 14:06:58,209 - mmdet - INFO - Epoch [26][300/7330] lr: 1.000e-04, eta: 1 day, 3:41:49, time: 1.211, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1583, s0.loss_cls: 0.1174, s0.acc: 95.6963, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1775, s1.loss_cls: 0.0550, s1.acc: 95.9557, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0846, s2.loss_cls: 0.0285, s2.acc: 95.8083, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0403, loss: 0.8944 2022-09-15 14:07:58,273 - mmdet - INFO - Epoch [26][350/7330] lr: 1.000e-04, eta: 1 day, 3:40:25, time: 1.200, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1676, s0.loss_cls: 0.1147, s0.acc: 95.7458, s0.loss_bbox: 0.0647, s0.loss_mask: 0.1809, s1.loss_cls: 0.0538, s1.acc: 96.0228, s1.loss_bbox: 0.0772, s1.loss_mask: 0.0854, s2.loss_cls: 0.0279, s2.acc: 95.7908, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0407, loss: 0.9071 2022-09-15 14:08:59,454 - mmdet - INFO - Epoch [26][400/7330] lr: 1.000e-04, eta: 1 day, 3:39:14, time: 1.225, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1578, s0.loss_cls: 0.1165, s0.acc: 95.7534, s0.loss_bbox: 0.0658, s0.loss_mask: 0.1826, s1.loss_cls: 0.0556, s1.acc: 95.9598, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0865, s2.loss_cls: 0.0289, s2.acc: 95.7116, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0410, loss: 0.9060 2022-09-15 14:10:01,530 - mmdet - INFO - Epoch [26][450/7330] lr: 1.000e-04, eta: 1 day, 3:38:13, time: 1.242, data_time: 0.028, memory: 64743, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1620, s0.loss_cls: 0.1221, s0.acc: 95.4946, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1794, s1.loss_cls: 0.0578, s1.acc: 95.6994, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0851, s2.loss_cls: 0.0297, s2.acc: 95.4508, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0406, loss: 0.9226 2022-09-15 14:11:01,430 - mmdet - INFO - Epoch [26][500/7330] lr: 1.000e-04, eta: 1 day, 3:36:49, time: 1.198, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1244, s0.acc: 95.5159, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1777, s1.loss_cls: 0.0595, s1.acc: 95.7326, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0847, s2.loss_cls: 0.0305, s2.acc: 95.5368, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0404, loss: 0.9163 2022-09-15 14:12:01,354 - mmdet - INFO - Epoch [26][550/7330] lr: 1.000e-04, eta: 1 day, 3:35:25, time: 1.198, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1712, s0.loss_cls: 0.1162, s0.acc: 95.7114, s0.loss_bbox: 0.0656, s0.loss_mask: 0.1797, s1.loss_cls: 0.0560, s1.acc: 95.8515, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0851, s2.loss_cls: 0.0289, s2.acc: 95.6228, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0406, loss: 0.9125 2022-09-15 14:13:02,126 - mmdet - INFO - Epoch [26][600/7330] lr: 1.000e-04, eta: 1 day, 3:34:11, time: 1.215, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1236, s0.acc: 95.3840, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1818, s1.loss_cls: 0.0587, s1.acc: 95.5903, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0862, s2.loss_cls: 0.0302, s2.acc: 95.4700, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0409, loss: 0.9299 2022-09-15 14:14:03,127 - mmdet - INFO - Epoch [26][650/7330] lr: 1.000e-04, eta: 1 day, 3:32:59, time: 1.220, data_time: 0.018, memory: 64743, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1563, s0.loss_cls: 0.1166, s0.acc: 95.7104, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1766, s1.loss_cls: 0.0550, s1.acc: 95.9248, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0837, s2.loss_cls: 0.0281, s2.acc: 95.8114, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0397, loss: 0.8926 2022-09-15 14:15:02,831 - mmdet - INFO - Epoch [26][700/7330] lr: 1.000e-04, eta: 1 day, 3:31:33, time: 1.193, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1560, s0.loss_cls: 0.1154, s0.acc: 95.7498, s0.loss_bbox: 0.0661, s0.loss_mask: 0.1783, s1.loss_cls: 0.0546, s1.acc: 95.9783, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0849, s2.loss_cls: 0.0286, s2.acc: 95.7013, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0402, loss: 0.8943 2022-09-15 14:16:03,388 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 14:16:03,390 - mmdet - INFO - Epoch [26][750/7330] lr: 1.000e-04, eta: 1 day, 3:30:17, time: 1.212, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1592, s0.loss_cls: 0.1167, s0.acc: 95.6409, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1775, s1.loss_cls: 0.0555, s1.acc: 95.9306, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0842, s2.loss_cls: 0.0295, s2.acc: 95.6032, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0400, loss: 0.9010 2022-09-15 14:17:05,242 - mmdet - INFO - Epoch [26][800/7330] lr: 1.000e-04, eta: 1 day, 3:29:14, time: 1.237, data_time: 0.029, memory: 64743, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1218, s0.acc: 95.4844, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1792, s1.loss_cls: 0.0579, s1.acc: 95.6836, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0853, s2.loss_cls: 0.0295, s2.acc: 95.4885, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0402, loss: 0.9268 2022-09-15 14:18:06,382 - mmdet - INFO - Epoch [26][850/7330] lr: 1.000e-04, eta: 1 day, 3:28:04, time: 1.223, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1545, s0.loss_cls: 0.1204, s0.acc: 95.6082, s0.loss_bbox: 0.0649, s0.loss_mask: 0.1822, s1.loss_cls: 0.0563, s1.acc: 95.8323, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0874, s2.loss_cls: 0.0290, s2.acc: 95.6330, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0418, loss: 0.9061 2022-09-15 14:19:07,602 - mmdet - INFO - Epoch [26][900/7330] lr: 1.000e-04, eta: 1 day, 3:26:55, time: 1.224, data_time: 0.026, memory: 64743, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1159, s0.acc: 95.7344, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1775, s1.loss_cls: 0.0549, s1.acc: 95.9694, s1.loss_bbox: 0.0778, s1.loss_mask: 0.0845, s2.loss_cls: 0.0284, s2.acc: 95.7787, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0401, loss: 0.9003 2022-09-15 14:20:08,682 - mmdet - INFO - Epoch [26][950/7330] lr: 1.000e-04, eta: 1 day, 3:25:44, time: 1.222, data_time: 0.024, memory: 64743, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1585, s0.loss_cls: 0.1237, s0.acc: 95.4104, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1823, s1.loss_cls: 0.0594, s1.acc: 95.5677, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0866, s2.loss_cls: 0.0304, s2.acc: 95.3462, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0411, loss: 0.9302 2022-09-15 14:21:10,199 - mmdet - INFO - Epoch [26][1000/7330] lr: 1.000e-04, eta: 1 day, 3:24:38, time: 1.230, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1562, s0.loss_cls: 0.1202, s0.acc: 95.5010, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1796, s1.loss_cls: 0.0572, s1.acc: 95.6859, s1.loss_bbox: 0.0793, s1.loss_mask: 0.0853, s2.loss_cls: 0.0296, s2.acc: 95.5438, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0406, loss: 0.9109 2022-09-15 14:22:10,886 - mmdet - INFO - Epoch [26][1050/7330] lr: 1.000e-04, eta: 1 day, 3:23:24, time: 1.214, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1631, s0.loss_cls: 0.1327, s0.acc: 95.2485, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1875, s1.loss_cls: 0.0609, s1.acc: 95.6560, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0887, s2.loss_cls: 0.0317, s2.acc: 95.3582, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0420, loss: 0.9596 2022-09-15 14:23:12,008 - mmdet - INFO - Epoch [26][1100/7330] lr: 1.000e-04, eta: 1 day, 3:22:14, time: 1.222, data_time: 0.027, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1569, s0.loss_cls: 0.1297, s0.acc: 95.2295, s0.loss_bbox: 0.0725, s0.loss_mask: 0.1880, s1.loss_cls: 0.0607, s1.acc: 95.5762, s1.loss_bbox: 0.0841, s1.loss_mask: 0.0887, s2.loss_cls: 0.0313, s2.acc: 95.3210, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0421, loss: 0.9527 2022-09-15 14:24:13,589 - mmdet - INFO - Epoch [26][1150/7330] lr: 1.000e-04, eta: 1 day, 3:21:09, time: 1.232, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1517, s0.loss_cls: 0.1282, s0.acc: 95.2795, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1793, s1.loss_cls: 0.0614, s1.acc: 95.5530, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0857, s2.loss_cls: 0.0318, s2.acc: 95.3362, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0407, loss: 0.9270 2022-09-15 14:25:14,560 - mmdet - INFO - Epoch [26][1200/7330] lr: 1.000e-04, eta: 1 day, 3:19:58, time: 1.219, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1605, s0.loss_cls: 0.1217, s0.acc: 95.5935, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1807, s1.loss_cls: 0.0578, s1.acc: 95.7819, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0853, s2.loss_cls: 0.0297, s2.acc: 95.5155, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0402, loss: 0.9181 2022-09-15 14:26:16,371 - mmdet - INFO - Epoch [26][1250/7330] lr: 1.000e-04, eta: 1 day, 3:18:55, time: 1.236, data_time: 0.019, memory: 64743, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1275, s0.acc: 95.3267, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1912, s1.loss_cls: 0.0610, s1.acc: 95.5177, s1.loss_bbox: 0.0842, s1.loss_mask: 0.0908, s2.loss_cls: 0.0314, s2.acc: 95.2411, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0431, loss: 0.9624 2022-09-15 14:27:17,168 - mmdet - INFO - Epoch [26][1300/7330] lr: 1.000e-04, eta: 1 day, 3:17:42, time: 1.216, data_time: 0.017, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1211, s0.acc: 95.4976, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1839, s1.loss_cls: 0.0563, s1.acc: 95.7540, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0868, s2.loss_cls: 0.0292, s2.acc: 95.4982, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0412, loss: 0.9252 2022-09-15 14:28:17,964 - mmdet - INFO - Epoch [26][1350/7330] lr: 1.000e-04, eta: 1 day, 3:16:30, time: 1.215, data_time: 0.026, memory: 64743, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1600, s0.loss_cls: 0.1231, s0.acc: 95.3611, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1871, s1.loss_cls: 0.0581, s1.acc: 95.5972, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0894, s2.loss_cls: 0.0305, s2.acc: 95.3345, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0425, loss: 0.9381 2022-09-15 14:29:18,992 - mmdet - INFO - Epoch [26][1400/7330] lr: 1.000e-04, eta: 1 day, 3:15:20, time: 1.221, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1538, s0.loss_cls: 0.1213, s0.acc: 95.5383, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1817, s1.loss_cls: 0.0591, s1.acc: 95.7000, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0865, s2.loss_cls: 0.0306, s2.acc: 95.3889, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0415, loss: 0.9154 2022-09-15 14:30:20,281 - mmdet - INFO - Epoch [26][1450/7330] lr: 1.000e-04, eta: 1 day, 3:14:12, time: 1.226, data_time: 0.027, memory: 64743, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1669, s0.loss_cls: 0.1262, s0.acc: 95.3250, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1831, s1.loss_cls: 0.0602, s1.acc: 95.5966, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0868, s2.loss_cls: 0.0306, s2.acc: 95.4198, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0411, loss: 0.9477 2022-09-15 14:31:21,236 - mmdet - INFO - Epoch [26][1500/7330] lr: 1.000e-04, eta: 1 day, 3:13:02, time: 1.219, data_time: 0.029, memory: 64743, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1529, s0.loss_cls: 0.1211, s0.acc: 95.5156, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1855, s1.loss_cls: 0.0569, s1.acc: 95.7893, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0883, s2.loss_cls: 0.0299, s2.acc: 95.5374, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0420, loss: 0.9185 2022-09-15 14:32:21,907 - mmdet - INFO - Epoch [26][1550/7330] lr: 1.000e-04, eta: 1 day, 3:11:49, time: 1.214, data_time: 0.030, memory: 64743, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1571, s0.loss_cls: 0.1191, s0.acc: 95.5256, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1793, s1.loss_cls: 0.0567, s1.acc: 95.7146, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0848, s2.loss_cls: 0.0295, s2.acc: 95.4780, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0402, loss: 0.9083 2022-09-15 14:33:22,937 - mmdet - INFO - Epoch [26][1600/7330] lr: 1.000e-04, eta: 1 day, 3:10:39, time: 1.221, data_time: 0.018, memory: 64743, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1620, s0.loss_cls: 0.1228, s0.acc: 95.4941, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1844, s1.loss_cls: 0.0579, s1.acc: 95.7729, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0865, s2.loss_cls: 0.0301, s2.acc: 95.5092, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0411, loss: 0.9398 2022-09-15 14:34:23,791 - mmdet - INFO - Epoch [26][1650/7330] lr: 1.000e-04, eta: 1 day, 3:09:28, time: 1.217, data_time: 0.026, memory: 64743, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1653, s0.loss_cls: 0.1212, s0.acc: 95.5276, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1788, s1.loss_cls: 0.0575, s1.acc: 95.7801, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0851, s2.loss_cls: 0.0296, s2.acc: 95.6145, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0406, loss: 0.9151 2022-09-15 14:35:25,527 - mmdet - INFO - Epoch [26][1700/7330] lr: 1.000e-04, eta: 1 day, 3:08:25, time: 1.235, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1226, s0.acc: 95.5322, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1825, s1.loss_cls: 0.0581, s1.acc: 95.6883, s1.loss_bbox: 0.0778, s1.loss_mask: 0.0872, s2.loss_cls: 0.0305, s2.acc: 95.4246, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0416, loss: 0.9253 2022-09-15 14:36:27,087 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 14:36:27,088 - mmdet - INFO - Epoch [26][1750/7330] lr: 1.000e-04, eta: 1 day, 3:07:20, time: 1.231, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1530, s0.loss_cls: 0.1209, s0.acc: 95.5671, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1849, s1.loss_cls: 0.0560, s1.acc: 95.8829, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0875, s2.loss_cls: 0.0284, s2.acc: 95.7510, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0416, loss: 0.9092 2022-09-15 14:37:27,863 - mmdet - INFO - Epoch [26][1800/7330] lr: 1.000e-04, eta: 1 day, 3:06:08, time: 1.215, data_time: 0.027, memory: 64743, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1586, s0.loss_cls: 0.1210, s0.acc: 95.4983, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1802, s1.loss_cls: 0.0563, s1.acc: 95.8241, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0854, s2.loss_cls: 0.0295, s2.acc: 95.5904, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0405, loss: 0.9206 2022-09-15 14:38:29,566 - mmdet - INFO - Epoch [26][1850/7330] lr: 1.000e-04, eta: 1 day, 3:05:05, time: 1.235, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1577, s0.loss_cls: 0.1191, s0.acc: 95.5259, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1844, s1.loss_cls: 0.0561, s1.acc: 95.7725, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0874, s2.loss_cls: 0.0288, s2.acc: 95.6987, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0417, loss: 0.9154 2022-09-15 14:39:30,473 - mmdet - INFO - Epoch [26][1900/7330] lr: 1.000e-04, eta: 1 day, 3:03:55, time: 1.218, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1638, s0.loss_cls: 0.1246, s0.acc: 95.5164, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1826, s1.loss_cls: 0.0595, s1.acc: 95.7238, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0868, s2.loss_cls: 0.0303, s2.acc: 95.5290, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0413, loss: 0.9399 2022-09-15 14:40:31,776 - mmdet - INFO - Epoch [26][1950/7330] lr: 1.000e-04, eta: 1 day, 3:02:48, time: 1.226, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1230, s0.acc: 95.5110, s0.loss_bbox: 0.0649, s0.loss_mask: 0.1799, s1.loss_cls: 0.0577, s1.acc: 95.7892, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0850, s2.loss_cls: 0.0295, s2.acc: 95.5640, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0407, loss: 0.9142 2022-09-15 14:41:32,077 - mmdet - INFO - Epoch [26][2000/7330] lr: 1.000e-04, eta: 1 day, 3:01:33, time: 1.206, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1201, s0.acc: 95.6313, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1792, s1.loss_cls: 0.0569, s1.acc: 95.8682, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0848, s2.loss_cls: 0.0293, s2.acc: 95.6996, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0402, loss: 0.9069 2022-09-15 14:42:34,395 - mmdet - INFO - Epoch [26][2050/7330] lr: 1.000e-04, eta: 1 day, 3:00:34, time: 1.246, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1686, s0.loss_cls: 0.1233, s0.acc: 95.4600, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1832, s1.loss_cls: 0.0569, s1.acc: 95.8205, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0869, s2.loss_cls: 0.0294, s2.acc: 95.6474, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0408, loss: 0.9332 2022-09-15 14:43:34,985 - mmdet - INFO - Epoch [26][2100/7330] lr: 1.000e-04, eta: 1 day, 2:59:22, time: 1.212, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1676, s0.loss_cls: 0.1177, s0.acc: 95.7297, s0.loss_bbox: 0.0651, s0.loss_mask: 0.1767, s1.loss_cls: 0.0552, s1.acc: 96.0440, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0839, s2.loss_cls: 0.0283, s2.acc: 95.8067, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0399, loss: 0.8984 2022-09-15 14:44:36,340 - mmdet - INFO - Epoch [26][2150/7330] lr: 1.000e-04, eta: 1 day, 2:58:16, time: 1.227, data_time: 0.026, memory: 64743, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1582, s0.loss_cls: 0.1206, s0.acc: 95.4233, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1784, s1.loss_cls: 0.0575, s1.acc: 95.6552, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0851, s2.loss_cls: 0.0298, s2.acc: 95.4209, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0405, loss: 0.9201 2022-09-15 14:45:37,847 - mmdet - INFO - Epoch [26][2200/7330] lr: 1.000e-04, eta: 1 day, 2:57:11, time: 1.230, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1580, s0.loss_cls: 0.1195, s0.acc: 95.5642, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1834, s1.loss_cls: 0.0563, s1.acc: 95.8097, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0863, s2.loss_cls: 0.0290, s2.acc: 95.5979, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0410, loss: 0.9155 2022-09-15 14:46:39,247 - mmdet - INFO - Epoch [26][2250/7330] lr: 1.000e-04, eta: 1 day, 2:56:05, time: 1.228, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1564, s0.loss_cls: 0.1250, s0.acc: 95.3308, s0.loss_bbox: 0.0717, s0.loss_mask: 0.1875, s1.loss_cls: 0.0595, s1.acc: 95.6030, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0882, s2.loss_cls: 0.0307, s2.acc: 95.3751, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0418, loss: 0.9439 2022-09-15 14:47:40,084 - mmdet - INFO - Epoch [26][2300/7330] lr: 1.000e-04, eta: 1 day, 2:54:55, time: 1.217, data_time: 0.023, memory: 64743, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1593, s0.loss_cls: 0.1221, s0.acc: 95.4519, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1800, s1.loss_cls: 0.0575, s1.acc: 95.6810, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0851, s2.loss_cls: 0.0294, s2.acc: 95.4893, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0401, loss: 0.9227 2022-09-15 14:48:41,624 - mmdet - INFO - Epoch [26][2350/7330] lr: 1.000e-04, eta: 1 day, 2:53:51, time: 1.231, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1581, s0.loss_cls: 0.1242, s0.acc: 95.3733, s0.loss_bbox: 0.0727, s0.loss_mask: 0.1857, s1.loss_cls: 0.0587, s1.acc: 95.6195, s1.loss_bbox: 0.0846, s1.loss_mask: 0.0876, s2.loss_cls: 0.0304, s2.acc: 95.4265, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0409, loss: 0.9401 2022-09-15 14:49:42,656 - mmdet - INFO - Epoch [26][2400/7330] lr: 1.000e-04, eta: 1 day, 2:52:43, time: 1.221, data_time: 0.025, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1259, s0.acc: 95.3413, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1877, s1.loss_cls: 0.0589, s1.acc: 95.6614, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0881, s2.loss_cls: 0.0307, s2.acc: 95.4373, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0419, loss: 0.9553 2022-09-15 14:50:44,741 - mmdet - INFO - Epoch [26][2450/7330] lr: 1.000e-04, eta: 1 day, 2:51:43, time: 1.242, data_time: 0.031, memory: 64743, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1568, s0.loss_cls: 0.1175, s0.acc: 95.5640, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1790, s1.loss_cls: 0.0554, s1.acc: 95.8749, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0855, s2.loss_cls: 0.0291, s2.acc: 95.6551, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0407, loss: 0.9080 2022-09-15 14:51:44,478 - mmdet - INFO - Epoch [26][2500/7330] lr: 1.000e-04, eta: 1 day, 2:50:24, time: 1.195, data_time: 0.022, memory: 64743, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1582, s0.loss_cls: 0.1183, s0.acc: 95.7664, s0.loss_bbox: 0.0630, s0.loss_mask: 0.1778, s1.loss_cls: 0.0553, s1.acc: 96.0553, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0850, s2.loss_cls: 0.0290, s2.acc: 95.8178, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0402, loss: 0.8964 2022-09-15 14:52:44,894 - mmdet - INFO - Epoch [26][2550/7330] lr: 1.000e-04, eta: 1 day, 2:49:11, time: 1.207, data_time: 0.021, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1585, s0.loss_cls: 0.1223, s0.acc: 95.5659, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1810, s1.loss_cls: 0.0571, s1.acc: 95.8601, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0861, s2.loss_cls: 0.0290, s2.acc: 95.6451, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0409, loss: 0.9180 2022-09-15 14:53:46,402 - mmdet - INFO - Epoch [26][2600/7330] lr: 1.000e-04, eta: 1 day, 2:48:07, time: 1.231, data_time: 0.020, memory: 64743, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1595, s0.loss_cls: 0.1206, s0.acc: 95.5630, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1817, s1.loss_cls: 0.0565, s1.acc: 95.8581, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0862, s2.loss_cls: 0.0289, s2.acc: 95.6724, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0405, loss: 0.9213 2022-09-15 14:54:47,136 - mmdet - INFO - Epoch [26][2650/7330] lr: 1.000e-04, eta: 1 day, 2:46:56, time: 1.215, data_time: 0.018, memory: 64743, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1179, s0.acc: 95.6797, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1783, s1.loss_cls: 0.0562, s1.acc: 95.9346, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0837, s2.loss_cls: 0.0292, s2.acc: 95.6858, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0398, loss: 0.9074 2022-09-15 14:55:48,015 - mmdet - INFO - Epoch [26][2700/7330] lr: 1.000e-04, eta: 1 day, 2:45:47, time: 1.218, data_time: 0.016, memory: 64745, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1631, s0.loss_cls: 0.1190, s0.acc: 95.6104, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1831, s1.loss_cls: 0.0565, s1.acc: 95.8385, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0866, s2.loss_cls: 0.0291, s2.acc: 95.6210, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0415, loss: 0.9174 2022-09-15 14:56:48,633 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 14:56:48,636 - mmdet - INFO - Epoch [26][2750/7330] lr: 1.000e-04, eta: 1 day, 2:44:36, time: 1.212, data_time: 0.016, memory: 64745, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1136, s0.acc: 95.7881, s0.loss_bbox: 0.0644, s0.loss_mask: 0.1757, s1.loss_cls: 0.0542, s1.acc: 96.0493, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0830, s2.loss_cls: 0.0279, s2.acc: 95.7949, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0393, loss: 0.8877 2022-09-15 14:57:49,245 - mmdet - INFO - Epoch [26][2800/7330] lr: 1.000e-04, eta: 1 day, 2:43:25, time: 1.212, data_time: 0.025, memory: 64745, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1252, s0.acc: 95.4409, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1859, s1.loss_cls: 0.0583, s1.acc: 95.7493, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0883, s2.loss_cls: 0.0303, s2.acc: 95.4856, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0416, loss: 0.9371 2022-09-15 14:58:50,044 - mmdet - INFO - Epoch [26][2850/7330] lr: 1.000e-04, eta: 1 day, 2:42:16, time: 1.217, data_time: 0.021, memory: 64745, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1602, s0.loss_cls: 0.1226, s0.acc: 95.5107, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1778, s1.loss_cls: 0.0592, s1.acc: 95.6313, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0841, s2.loss_cls: 0.0305, s2.acc: 95.4476, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0399, loss: 0.9154 2022-09-15 14:59:50,920 - mmdet - INFO - Epoch [26][2900/7330] lr: 1.000e-04, eta: 1 day, 2:41:06, time: 1.217, data_time: 0.030, memory: 64745, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1556, s0.loss_cls: 0.1128, s0.acc: 95.7573, s0.loss_bbox: 0.0664, s0.loss_mask: 0.1799, s1.loss_cls: 0.0531, s1.acc: 96.0557, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0859, s2.loss_cls: 0.0279, s2.acc: 95.7971, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0408, loss: 0.8934 2022-09-15 15:00:52,260 - mmdet - INFO - Epoch [26][2950/7330] lr: 1.000e-04, eta: 1 day, 2:40:01, time: 1.227, data_time: 0.021, memory: 64745, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1551, s0.loss_cls: 0.1238, s0.acc: 95.4377, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1848, s1.loss_cls: 0.0588, s1.acc: 95.6907, s1.loss_bbox: 0.0826, s1.loss_mask: 0.0878, s2.loss_cls: 0.0308, s2.acc: 95.3039, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0417, loss: 0.9337 2022-09-15 15:01:52,574 - mmdet - INFO - Epoch [26][3000/7330] lr: 1.000e-04, eta: 1 day, 2:38:48, time: 1.206, data_time: 0.022, memory: 64745, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1535, s0.loss_cls: 0.1182, s0.acc: 95.6038, s0.loss_bbox: 0.0663, s0.loss_mask: 0.1839, s1.loss_cls: 0.0563, s1.acc: 95.8095, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0880, s2.loss_cls: 0.0294, s2.acc: 95.4880, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0414, loss: 0.9101 2022-09-15 15:02:54,887 - mmdet - INFO - Epoch [26][3050/7330] lr: 1.000e-04, eta: 1 day, 2:37:50, time: 1.246, data_time: 0.025, memory: 64745, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1660, s0.loss_cls: 0.1249, s0.acc: 95.4717, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1813, s1.loss_cls: 0.0598, s1.acc: 95.6552, s1.loss_bbox: 0.0771, s1.loss_mask: 0.0854, s2.loss_cls: 0.0304, s2.acc: 95.4375, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0405, loss: 0.9257 2022-09-15 15:03:56,036 - mmdet - INFO - Epoch [26][3100/7330] lr: 1.000e-04, eta: 1 day, 2:36:44, time: 1.224, data_time: 0.028, memory: 64745, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1576, s0.loss_cls: 0.1216, s0.acc: 95.5151, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1870, s1.loss_cls: 0.0569, s1.acc: 95.7796, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0878, s2.loss_cls: 0.0294, s2.acc: 95.6195, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0418, loss: 0.9301 2022-09-15 15:04:56,405 - mmdet - INFO - Epoch [26][3150/7330] lr: 1.000e-04, eta: 1 day, 2:35:32, time: 1.207, data_time: 0.021, memory: 64745, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1545, s0.loss_cls: 0.1155, s0.acc: 95.6963, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1762, s1.loss_cls: 0.0537, s1.acc: 96.0031, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0839, s2.loss_cls: 0.0273, s2.acc: 95.8712, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0398, loss: 0.8801 2022-09-15 15:05:57,011 - mmdet - INFO - Epoch [26][3200/7330] lr: 1.000e-04, eta: 1 day, 2:34:22, time: 1.213, data_time: 0.023, memory: 64745, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1593, s0.loss_cls: 0.1209, s0.acc: 95.5408, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1822, s1.loss_cls: 0.0571, s1.acc: 95.7689, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0871, s2.loss_cls: 0.0296, s2.acc: 95.4829, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0413, loss: 0.9248 2022-09-15 15:06:57,906 - mmdet - INFO - Epoch [26][3250/7330] lr: 1.000e-04, eta: 1 day, 2:33:13, time: 1.218, data_time: 0.024, memory: 64745, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1293, s0.acc: 95.3037, s0.loss_bbox: 0.0658, s0.loss_mask: 0.1806, s1.loss_cls: 0.0622, s1.acc: 95.4541, s1.loss_bbox: 0.0775, s1.loss_mask: 0.0860, s2.loss_cls: 0.0322, s2.acc: 95.2509, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0408, loss: 0.9304 2022-09-15 15:07:58,365 - mmdet - INFO - Epoch [26][3300/7330] lr: 1.000e-04, eta: 1 day, 2:32:02, time: 1.208, data_time: 0.019, memory: 64745, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1581, s0.loss_cls: 0.1303, s0.acc: 95.2576, s0.loss_bbox: 0.0729, s0.loss_mask: 0.1876, s1.loss_cls: 0.0628, s1.acc: 95.3901, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0893, s2.loss_cls: 0.0325, s2.acc: 95.1410, s2.loss_bbox: 0.0560, s2.loss_mask: 0.0418, loss: 0.9620 2022-09-15 15:08:59,570 - mmdet - INFO - Epoch [26][3350/7330] lr: 1.000e-04, eta: 1 day, 2:30:56, time: 1.225, data_time: 0.020, memory: 64745, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1595, s0.loss_cls: 0.1297, s0.acc: 95.2637, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1828, s1.loss_cls: 0.0620, s1.acc: 95.4632, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0865, s2.loss_cls: 0.0318, s2.acc: 95.1743, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0410, loss: 0.9458 2022-09-15 15:10:00,984 - mmdet - INFO - Epoch [26][3400/7330] lr: 1.000e-04, eta: 1 day, 2:29:52, time: 1.228, data_time: 0.021, memory: 64745, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1617, s0.loss_cls: 0.1199, s0.acc: 95.5569, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1846, s1.loss_cls: 0.0570, s1.acc: 95.7719, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0879, s2.loss_cls: 0.0292, s2.acc: 95.5719, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0418, loss: 0.9208 2022-09-15 15:11:02,991 - mmdet - INFO - Epoch [26][3450/7330] lr: 1.000e-04, eta: 1 day, 2:28:52, time: 1.241, data_time: 0.022, memory: 64745, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1172, s0.acc: 95.6638, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1776, s1.loss_cls: 0.0554, s1.acc: 95.8981, s1.loss_bbox: 0.0759, s1.loss_mask: 0.0839, s2.loss_cls: 0.0289, s2.acc: 95.6493, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0398, loss: 0.8983 2022-09-15 15:12:04,343 - mmdet - INFO - Epoch [26][3500/7330] lr: 1.000e-04, eta: 1 day, 2:27:47, time: 1.227, data_time: 0.022, memory: 64745, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1175, s0.acc: 95.6599, s0.loss_bbox: 0.0663, s0.loss_mask: 0.1801, s1.loss_cls: 0.0552, s1.acc: 95.8758, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0862, s2.loss_cls: 0.0290, s2.acc: 95.6269, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0406, loss: 0.9117 2022-09-15 15:13:05,831 - mmdet - INFO - Epoch [26][3550/7330] lr: 1.000e-04, eta: 1 day, 2:26:44, time: 1.230, data_time: 0.031, memory: 64745, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1607, s0.loss_cls: 0.1249, s0.acc: 95.4011, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1779, s1.loss_cls: 0.0578, s1.acc: 95.7680, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0844, s2.loss_cls: 0.0296, s2.acc: 95.5471, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0404, loss: 0.9211 2022-09-15 15:14:06,581 - mmdet - INFO - Epoch [26][3600/7330] lr: 1.000e-04, eta: 1 day, 2:25:35, time: 1.215, data_time: 0.023, memory: 64745, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1678, s0.loss_cls: 0.1168, s0.acc: 95.7632, s0.loss_bbox: 0.0646, s0.loss_mask: 0.1786, s1.loss_cls: 0.0558, s1.acc: 96.0459, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0846, s2.loss_cls: 0.0292, s2.acc: 95.7629, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0401, loss: 0.9039 2022-09-15 15:15:08,600 - mmdet - INFO - Epoch [26][3650/7330] lr: 1.000e-04, eta: 1 day, 2:24:35, time: 1.241, data_time: 0.020, memory: 64746, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1577, s0.loss_cls: 0.1286, s0.acc: 95.2976, s0.loss_bbox: 0.0695, s0.loss_mask: 0.1831, s1.loss_cls: 0.0609, s1.acc: 95.5448, s1.loss_bbox: 0.0822, s1.loss_mask: 0.0868, s2.loss_cls: 0.0313, s2.acc: 95.3363, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0408, loss: 0.9384 2022-09-15 15:16:09,509 - mmdet - INFO - Epoch [26][3700/7330] lr: 1.000e-04, eta: 1 day, 2:23:27, time: 1.218, data_time: 0.017, memory: 64746, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1220, s0.acc: 95.6067, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1769, s1.loss_cls: 0.0580, s1.acc: 95.8221, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0836, s2.loss_cls: 0.0297, s2.acc: 95.5956, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0398, loss: 0.9133 2022-09-15 15:17:10,140 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 15:17:10,140 - mmdet - INFO - Epoch [26][3750/7330] lr: 1.000e-04, eta: 1 day, 2:22:18, time: 1.212, data_time: 0.020, memory: 64746, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1562, s0.loss_cls: 0.1242, s0.acc: 95.3948, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1839, s1.loss_cls: 0.0590, s1.acc: 95.6407, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0874, s2.loss_cls: 0.0303, s2.acc: 95.4122, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0415, loss: 0.9311 2022-09-15 15:18:10,664 - mmdet - INFO - Epoch [26][3800/7330] lr: 1.000e-04, eta: 1 day, 2:21:07, time: 1.211, data_time: 0.019, memory: 64746, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1559, s0.loss_cls: 0.1199, s0.acc: 95.6138, s0.loss_bbox: 0.0672, s0.loss_mask: 0.1795, s1.loss_cls: 0.0571, s1.acc: 95.8507, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0849, s2.loss_cls: 0.0298, s2.acc: 95.5825, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0398, loss: 0.9075 2022-09-15 15:19:10,807 - mmdet - INFO - Epoch [26][3850/7330] lr: 1.000e-04, eta: 1 day, 2:19:55, time: 1.203, data_time: 0.022, memory: 64746, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1564, s0.loss_cls: 0.1171, s0.acc: 95.6248, s0.loss_bbox: 0.0629, s0.loss_mask: 0.1759, s1.loss_cls: 0.0560, s1.acc: 95.9090, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0839, s2.loss_cls: 0.0296, s2.acc: 95.6564, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0398, loss: 0.8871 2022-09-15 15:20:12,697 - mmdet - INFO - Epoch [26][3900/7330] lr: 1.000e-04, eta: 1 day, 2:18:54, time: 1.238, data_time: 0.024, memory: 64746, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1638, s0.loss_cls: 0.1240, s0.acc: 95.4802, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1865, s1.loss_cls: 0.0594, s1.acc: 95.6607, s1.loss_bbox: 0.0825, s1.loss_mask: 0.0883, s2.loss_cls: 0.0310, s2.acc: 95.3277, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0418, loss: 0.9427 2022-09-15 15:21:13,605 - mmdet - INFO - Epoch [26][3950/7330] lr: 1.000e-04, eta: 1 day, 2:17:47, time: 1.218, data_time: 0.025, memory: 64746, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1605, s0.loss_cls: 0.1176, s0.acc: 95.6821, s0.loss_bbox: 0.0658, s0.loss_mask: 0.1758, s1.loss_cls: 0.0556, s1.acc: 95.8772, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0835, s2.loss_cls: 0.0282, s2.acc: 95.8286, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0398, loss: 0.8944 2022-09-15 15:22:13,858 - mmdet - INFO - Epoch [26][4000/7330] lr: 1.000e-04, eta: 1 day, 2:16:35, time: 1.205, data_time: 0.020, memory: 64746, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1625, s0.loss_cls: 0.1240, s0.acc: 95.4675, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1824, s1.loss_cls: 0.0582, s1.acc: 95.8214, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0872, s2.loss_cls: 0.0304, s2.acc: 95.4680, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0414, loss: 0.9333 2022-09-15 15:23:15,276 - mmdet - INFO - Epoch [26][4050/7330] lr: 1.000e-04, eta: 1 day, 2:15:31, time: 1.228, data_time: 0.020, memory: 64746, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1653, s0.loss_cls: 0.1248, s0.acc: 95.4636, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1812, s1.loss_cls: 0.0592, s1.acc: 95.7407, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0865, s2.loss_cls: 0.0307, s2.acc: 95.4760, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0409, loss: 0.9383 2022-09-15 15:24:16,052 - mmdet - INFO - Epoch [26][4100/7330] lr: 1.000e-04, eta: 1 day, 2:14:23, time: 1.216, data_time: 0.024, memory: 64746, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1298, s0.acc: 95.1931, s0.loss_bbox: 0.0723, s0.loss_mask: 0.1872, s1.loss_cls: 0.0614, s1.acc: 95.4648, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0893, s2.loss_cls: 0.0314, s2.acc: 95.2997, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0425, loss: 0.9605 2022-09-15 15:25:17,124 - mmdet - INFO - Epoch [26][4150/7330] lr: 1.000e-04, eta: 1 day, 2:13:17, time: 1.221, data_time: 0.019, memory: 64746, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1666, s0.loss_cls: 0.1194, s0.acc: 95.5547, s0.loss_bbox: 0.0653, s0.loss_mask: 0.1786, s1.loss_cls: 0.0557, s1.acc: 95.8480, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0847, s2.loss_cls: 0.0288, s2.acc: 95.5852, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0402, loss: 0.9057 2022-09-15 15:26:18,400 - mmdet - INFO - Epoch [26][4200/7330] lr: 1.000e-04, eta: 1 day, 2:12:13, time: 1.226, data_time: 0.025, memory: 64746, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1616, s0.loss_cls: 0.1229, s0.acc: 95.5505, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1795, s1.loss_cls: 0.0582, s1.acc: 95.8094, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0848, s2.loss_cls: 0.0303, s2.acc: 95.4342, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0401, loss: 0.9170 2022-09-15 15:27:19,654 - mmdet - INFO - Epoch [26][4250/7330] lr: 1.000e-04, eta: 1 day, 2:11:08, time: 1.225, data_time: 0.021, memory: 64746, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1293, s0.acc: 95.2576, s0.loss_bbox: 0.0707, s0.loss_mask: 0.1827, s1.loss_cls: 0.0617, s1.acc: 95.4910, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0868, s2.loss_cls: 0.0320, s2.acc: 95.2128, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0411, loss: 0.9434 2022-09-15 15:28:20,378 - mmdet - INFO - Epoch [26][4300/7330] lr: 1.000e-04, eta: 1 day, 2:10:00, time: 1.214, data_time: 0.019, memory: 64746, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1646, s0.loss_cls: 0.1143, s0.acc: 95.7214, s0.loss_bbox: 0.0661, s0.loss_mask: 0.1806, s1.loss_cls: 0.0533, s1.acc: 95.9803, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0859, s2.loss_cls: 0.0278, s2.acc: 95.7389, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0406, loss: 0.9053 2022-09-15 15:29:21,071 - mmdet - INFO - Epoch [26][4350/7330] lr: 1.000e-04, eta: 1 day, 2:08:51, time: 1.214, data_time: 0.023, memory: 64746, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1157, s0.acc: 95.7290, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1792, s1.loss_cls: 0.0546, s1.acc: 95.8802, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0853, s2.loss_cls: 0.0284, s2.acc: 95.7694, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0406, loss: 0.9048 2022-09-15 15:30:22,617 - mmdet - INFO - Epoch [26][4400/7330] lr: 1.000e-04, eta: 1 day, 2:07:49, time: 1.231, data_time: 0.028, memory: 64746, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1596, s0.loss_cls: 0.1275, s0.acc: 95.3140, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1778, s1.loss_cls: 0.0616, s1.acc: 95.4549, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0847, s2.loss_cls: 0.0319, s2.acc: 95.1428, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0399, loss: 0.9295 2022-09-15 15:31:23,940 - mmdet - INFO - Epoch [26][4450/7330] lr: 1.000e-04, eta: 1 day, 2:06:43, time: 1.223, data_time: 0.022, memory: 64746, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1597, s0.loss_cls: 0.1204, s0.acc: 95.5273, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1837, s1.loss_cls: 0.0571, s1.acc: 95.7346, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0882, s2.loss_cls: 0.0294, s2.acc: 95.4948, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0419, loss: 0.9212 2022-09-15 15:32:25,751 - mmdet - INFO - Epoch [26][4500/7330] lr: 1.000e-04, eta: 1 day, 2:05:44, time: 1.240, data_time: 0.031, memory: 64746, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1727, s0.loss_cls: 0.1175, s0.acc: 95.6560, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1796, s1.loss_cls: 0.0559, s1.acc: 95.8601, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0855, s2.loss_cls: 0.0286, s2.acc: 95.7306, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0407, loss: 0.9177 2022-09-15 15:33:26,437 - mmdet - INFO - Epoch [26][4550/7330] lr: 1.000e-04, eta: 1 day, 2:04:35, time: 1.213, data_time: 0.022, memory: 64746, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1231, s0.acc: 95.4680, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1836, s1.loss_cls: 0.0590, s1.acc: 95.6683, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0870, s2.loss_cls: 0.0308, s2.acc: 95.3307, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0412, loss: 0.9390 2022-09-15 15:34:28,280 - mmdet - INFO - Epoch [26][4600/7330] lr: 1.000e-04, eta: 1 day, 2:03:35, time: 1.237, data_time: 0.035, memory: 64746, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1328, s0.acc: 95.1257, s0.loss_bbox: 0.0735, s0.loss_mask: 0.1866, s1.loss_cls: 0.0631, s1.acc: 95.3529, s1.loss_bbox: 0.0848, s1.loss_mask: 0.0884, s2.loss_cls: 0.0327, s2.acc: 95.1108, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0421, loss: 0.9680 2022-09-15 15:35:29,324 - mmdet - INFO - Epoch [26][4650/7330] lr: 1.000e-04, eta: 1 day, 2:02:29, time: 1.221, data_time: 0.023, memory: 64746, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1646, s0.loss_cls: 0.1205, s0.acc: 95.5767, s0.loss_bbox: 0.0664, s0.loss_mask: 0.1785, s1.loss_cls: 0.0576, s1.acc: 95.7743, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0853, s2.loss_cls: 0.0295, s2.acc: 95.6600, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0408, loss: 0.9152 2022-09-15 15:36:30,322 - mmdet - INFO - Epoch [26][4700/7330] lr: 1.000e-04, eta: 1 day, 2:01:23, time: 1.220, data_time: 0.027, memory: 64746, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1543, s0.loss_cls: 0.1193, s0.acc: 95.5010, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1795, s1.loss_cls: 0.0571, s1.acc: 95.6537, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0854, s2.loss_cls: 0.0297, s2.acc: 95.4702, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0402, loss: 0.9094 2022-09-15 15:37:30,525 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 15:37:30,531 - mmdet - INFO - Epoch [26][4750/7330] lr: 1.000e-04, eta: 1 day, 2:00:12, time: 1.204, data_time: 0.030, memory: 64746, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1603, s0.loss_cls: 0.1262, s0.acc: 95.3438, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1810, s1.loss_cls: 0.0593, s1.acc: 95.5827, s1.loss_bbox: 0.0831, s1.loss_mask: 0.0856, s2.loss_cls: 0.0301, s2.acc: 95.4451, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0408, loss: 0.9328 2022-09-15 15:38:30,467 - mmdet - INFO - Epoch [26][4800/7330] lr: 1.000e-04, eta: 1 day, 1:58:59, time: 1.198, data_time: 0.021, memory: 64746, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1193, s0.acc: 95.5984, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1827, s1.loss_cls: 0.0563, s1.acc: 95.8633, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0874, s2.loss_cls: 0.0293, s2.acc: 95.5304, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0415, loss: 0.9224 2022-09-15 15:39:30,538 - mmdet - INFO - Epoch [26][4850/7330] lr: 1.000e-04, eta: 1 day, 1:57:47, time: 1.202, data_time: 0.022, memory: 64746, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0260, loss_semantic_seg: 0.1601, s0.loss_cls: 0.1294, s0.acc: 95.3379, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1832, s1.loss_cls: 0.0612, s1.acc: 95.5870, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0861, s2.loss_cls: 0.0312, s2.acc: 95.4682, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0404, loss: 0.9439 2022-09-15 15:40:30,922 - mmdet - INFO - Epoch [26][4900/7330] lr: 1.000e-04, eta: 1 day, 1:56:37, time: 1.207, data_time: 0.020, memory: 64746, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1267, s0.acc: 95.4138, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1892, s1.loss_cls: 0.0594, s1.acc: 95.6626, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0894, s2.loss_cls: 0.0306, s2.acc: 95.4864, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0421, loss: 0.9545 2022-09-15 15:41:32,147 - mmdet - INFO - Epoch [26][4950/7330] lr: 1.000e-04, eta: 1 day, 1:55:33, time: 1.225, data_time: 0.029, memory: 64746, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1250, s0.acc: 95.3550, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1868, s1.loss_cls: 0.0589, s1.acc: 95.5944, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0881, s2.loss_cls: 0.0304, s2.acc: 95.4206, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0418, loss: 0.9453 2022-09-15 15:42:32,962 - mmdet - INFO - Epoch [26][5000/7330] lr: 1.000e-04, eta: 1 day, 1:54:26, time: 1.216, data_time: 0.027, memory: 64746, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1290, s0.acc: 95.2222, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1877, s1.loss_cls: 0.0620, s1.acc: 95.4453, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0881, s2.loss_cls: 0.0315, s2.acc: 95.2893, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0419, loss: 0.9534 2022-09-15 15:43:34,547 - mmdet - INFO - Epoch [26][5050/7330] lr: 1.000e-04, eta: 1 day, 1:53:24, time: 1.231, data_time: 0.026, memory: 64746, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1585, s0.loss_cls: 0.1226, s0.acc: 95.4985, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1773, s1.loss_cls: 0.0583, s1.acc: 95.7502, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0842, s2.loss_cls: 0.0295, s2.acc: 95.6266, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0400, loss: 0.9109 2022-09-15 15:44:35,827 - mmdet - INFO - Epoch [26][5100/7330] lr: 1.000e-04, eta: 1 day, 1:52:20, time: 1.226, data_time: 0.024, memory: 64746, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1527, s0.loss_cls: 0.1238, s0.acc: 95.4653, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1844, s1.loss_cls: 0.0587, s1.acc: 95.6521, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0868, s2.loss_cls: 0.0303, s2.acc: 95.3939, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0411, loss: 0.9256 2022-09-15 15:45:37,085 - mmdet - INFO - Epoch [26][5150/7330] lr: 1.000e-04, eta: 1 day, 1:51:16, time: 1.226, data_time: 0.017, memory: 64746, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1662, s0.loss_cls: 0.1224, s0.acc: 95.4873, s0.loss_bbox: 0.0698, s0.loss_mask: 0.1805, s1.loss_cls: 0.0595, s1.acc: 95.6151, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0849, s2.loss_cls: 0.0306, s2.acc: 95.3766, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0401, loss: 0.9317 2022-09-15 15:46:38,828 - mmdet - INFO - Epoch [26][5200/7330] lr: 1.000e-04, eta: 1 day, 1:50:14, time: 1.232, data_time: 0.026, memory: 64746, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1641, s0.loss_cls: 0.1304, s0.acc: 95.1567, s0.loss_bbox: 0.0739, s0.loss_mask: 0.1856, s1.loss_cls: 0.0623, s1.acc: 95.3897, s1.loss_bbox: 0.0838, s1.loss_mask: 0.0879, s2.loss_cls: 0.0323, s2.acc: 95.1316, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0417, loss: 0.9616 2022-09-15 15:47:39,193 - mmdet - INFO - Epoch [26][5250/7330] lr: 1.000e-04, eta: 1 day, 1:49:06, time: 1.210, data_time: 0.023, memory: 64746, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1257, s0.acc: 95.3433, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1815, s1.loss_cls: 0.0593, s1.acc: 95.6129, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0852, s2.loss_cls: 0.0306, s2.acc: 95.4188, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0406, loss: 0.9370 2022-09-15 15:48:40,529 - mmdet - INFO - Epoch [26][5300/7330] lr: 1.000e-04, eta: 1 day, 1:48:02, time: 1.227, data_time: 0.026, memory: 64746, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1610, s0.loss_cls: 0.1242, s0.acc: 95.4524, s0.loss_bbox: 0.0679, s0.loss_mask: 0.1820, s1.loss_cls: 0.0595, s1.acc: 95.6562, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0868, s2.loss_cls: 0.0304, s2.acc: 95.4977, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0412, loss: 0.9288 2022-09-15 15:49:41,886 - mmdet - INFO - Epoch [26][5350/7330] lr: 1.000e-04, eta: 1 day, 1:46:59, time: 1.227, data_time: 0.023, memory: 64746, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1579, s0.loss_cls: 0.1233, s0.acc: 95.3962, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1826, s1.loss_cls: 0.0585, s1.acc: 95.6086, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0865, s2.loss_cls: 0.0306, s2.acc: 95.3963, s2.loss_bbox: 0.0568, s2.loss_mask: 0.0412, loss: 0.9295 2022-09-15 15:50:42,658 - mmdet - INFO - Epoch [26][5400/7330] lr: 1.000e-04, eta: 1 day, 1:45:52, time: 1.215, data_time: 0.022, memory: 64746, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1641, s0.loss_cls: 0.1212, s0.acc: 95.5464, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1773, s1.loss_cls: 0.0571, s1.acc: 95.7433, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0837, s2.loss_cls: 0.0300, s2.acc: 95.5024, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0396, loss: 0.9120 2022-09-15 15:51:44,673 - mmdet - INFO - Epoch [26][5450/7330] lr: 1.000e-04, eta: 1 day, 1:44:52, time: 1.239, data_time: 0.030, memory: 64746, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0268, loss_semantic_seg: 0.1558, s0.loss_cls: 0.1252, s0.acc: 95.3992, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1824, s1.loss_cls: 0.0580, s1.acc: 95.7635, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0858, s2.loss_cls: 0.0299, s2.acc: 95.6208, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0406, loss: 0.9271 2022-09-15 15:52:46,243 - mmdet - INFO - Epoch [26][5500/7330] lr: 1.000e-04, eta: 1 day, 1:43:50, time: 1.232, data_time: 0.025, memory: 64746, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1645, s0.loss_cls: 0.1203, s0.acc: 95.5483, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1822, s1.loss_cls: 0.0573, s1.acc: 95.7006, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0854, s2.loss_cls: 0.0294, s2.acc: 95.5745, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0404, loss: 0.9204 2022-09-15 15:53:47,726 - mmdet - INFO - Epoch [26][5550/7330] lr: 1.000e-04, eta: 1 day, 1:42:48, time: 1.229, data_time: 0.018, memory: 64746, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1657, s0.loss_cls: 0.1240, s0.acc: 95.4380, s0.loss_bbox: 0.0700, s0.loss_mask: 0.1825, s1.loss_cls: 0.0592, s1.acc: 95.6799, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0870, s2.loss_cls: 0.0303, s2.acc: 95.5077, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0415, loss: 0.9398 2022-09-15 15:54:49,148 - mmdet - INFO - Epoch [26][5600/7330] lr: 1.000e-04, eta: 1 day, 1:41:45, time: 1.229, data_time: 0.023, memory: 64746, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1252, s0.acc: 95.3430, s0.loss_bbox: 0.0716, s0.loss_mask: 0.1865, s1.loss_cls: 0.0601, s1.acc: 95.5537, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0876, s2.loss_cls: 0.0310, s2.acc: 95.3791, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0417, loss: 0.9473 2022-09-15 15:55:49,996 - mmdet - INFO - Epoch [26][5650/7330] lr: 1.000e-04, eta: 1 day, 1:40:39, time: 1.217, data_time: 0.017, memory: 64746, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1666, s0.loss_cls: 0.1239, s0.acc: 95.4629, s0.loss_bbox: 0.0671, s0.loss_mask: 0.1840, s1.loss_cls: 0.0585, s1.acc: 95.7098, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0877, s2.loss_cls: 0.0307, s2.acc: 95.4287, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0416, loss: 0.9324 2022-09-15 15:56:52,132 - mmdet - INFO - Epoch [26][5700/7330] lr: 1.000e-04, eta: 1 day, 1:39:39, time: 1.239, data_time: 0.024, memory: 64746, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1215, s0.acc: 95.4583, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1813, s1.loss_cls: 0.0579, s1.acc: 95.6428, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0866, s2.loss_cls: 0.0301, s2.acc: 95.4097, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0408, loss: 0.9249 2022-09-15 15:57:53,432 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 15:57:53,433 - mmdet - INFO - Epoch [26][5750/7330] lr: 1.000e-04, eta: 1 day, 1:38:36, time: 1.230, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1569, s0.loss_cls: 0.1170, s0.acc: 95.6145, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1757, s1.loss_cls: 0.0555, s1.acc: 95.8767, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0829, s2.loss_cls: 0.0287, s2.acc: 95.7229, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0393, loss: 0.8873 2022-09-15 15:58:55,740 - mmdet - INFO - Epoch [26][5800/7330] lr: 1.000e-04, eta: 1 day, 1:37:38, time: 1.246, data_time: 0.034, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1211, s0.acc: 95.5708, s0.loss_bbox: 0.0658, s0.loss_mask: 0.1791, s1.loss_cls: 0.0580, s1.acc: 95.7832, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0842, s2.loss_cls: 0.0300, s2.acc: 95.5794, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0403, loss: 0.9121 2022-09-15 15:59:56,162 - mmdet - INFO - Epoch [26][5850/7330] lr: 1.000e-04, eta: 1 day, 1:36:30, time: 1.208, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1586, s0.loss_cls: 0.1208, s0.acc: 95.4753, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1788, s1.loss_cls: 0.0574, s1.acc: 95.7700, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0844, s2.loss_cls: 0.0296, s2.acc: 95.5603, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0402, loss: 0.9098 2022-09-15 16:00:57,077 - mmdet - INFO - Epoch [26][5900/7330] lr: 1.000e-04, eta: 1 day, 1:35:24, time: 1.219, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1637, s0.loss_cls: 0.1141, s0.acc: 95.7593, s0.loss_bbox: 0.0635, s0.loss_mask: 0.1742, s1.loss_cls: 0.0550, s1.acc: 95.9036, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0823, s2.loss_cls: 0.0288, s2.acc: 95.6419, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0389, loss: 0.8842 2022-09-15 16:01:57,974 - mmdet - INFO - Epoch [26][5950/7330] lr: 1.000e-04, eta: 1 day, 1:34:18, time: 1.218, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1594, s0.loss_cls: 0.1229, s0.acc: 95.4309, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1826, s1.loss_cls: 0.0589, s1.acc: 95.6590, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0866, s2.loss_cls: 0.0301, s2.acc: 95.4733, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0412, loss: 0.9288 2022-09-15 16:02:58,624 - mmdet - INFO - Epoch [26][6000/7330] lr: 1.000e-04, eta: 1 day, 1:33:11, time: 1.213, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1646, s0.loss_cls: 0.1254, s0.acc: 95.3555, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1849, s1.loss_cls: 0.0596, s1.acc: 95.5788, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0874, s2.loss_cls: 0.0306, s2.acc: 95.4861, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0410, loss: 0.9387 2022-09-15 16:03:59,648 - mmdet - INFO - Epoch [26][6050/7330] lr: 1.000e-04, eta: 1 day, 1:32:06, time: 1.219, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1715, s0.loss_cls: 0.1240, s0.acc: 95.4077, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1850, s1.loss_cls: 0.0596, s1.acc: 95.6159, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0872, s2.loss_cls: 0.0316, s2.acc: 95.2755, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0409, loss: 0.9459 2022-09-15 16:05:00,691 - mmdet - INFO - Epoch [26][6100/7330] lr: 1.000e-04, eta: 1 day, 1:31:01, time: 1.222, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1276, s0.acc: 95.3618, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1817, s1.loss_cls: 0.0597, s1.acc: 95.7182, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0862, s2.loss_cls: 0.0310, s2.acc: 95.4274, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0409, loss: 0.9349 2022-09-15 16:06:01,781 - mmdet - INFO - Epoch [26][6150/7330] lr: 1.000e-04, eta: 1 day, 1:29:56, time: 1.221, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1219, s0.acc: 95.5051, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1846, s1.loss_cls: 0.0572, s1.acc: 95.8409, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0879, s2.loss_cls: 0.0297, s2.acc: 95.6253, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0415, loss: 0.9299 2022-09-15 16:07:03,375 - mmdet - INFO - Epoch [26][6200/7330] lr: 1.000e-04, eta: 1 day, 1:28:55, time: 1.232, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1627, s0.loss_cls: 0.1244, s0.acc: 95.4382, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1786, s1.loss_cls: 0.0578, s1.acc: 95.7665, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0853, s2.loss_cls: 0.0300, s2.acc: 95.4808, s2.loss_bbox: 0.0538, s2.loss_mask: 0.0405, loss: 0.9223 2022-09-15 16:08:05,620 - mmdet - INFO - Epoch [26][6250/7330] lr: 1.000e-04, eta: 1 day, 1:27:57, time: 1.245, data_time: 0.036, memory: 64752, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1637, s0.loss_cls: 0.1264, s0.acc: 95.3657, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1850, s1.loss_cls: 0.0592, s1.acc: 95.6917, s1.loss_bbox: 0.0830, s1.loss_mask: 0.0874, s2.loss_cls: 0.0304, s2.acc: 95.5281, s2.loss_bbox: 0.0557, s2.loss_mask: 0.0413, loss: 0.9454 2022-09-15 16:09:06,661 - mmdet - INFO - Epoch [26][6300/7330] lr: 1.000e-04, eta: 1 day, 1:26:52, time: 1.221, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1156, s0.acc: 95.6909, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1817, s1.loss_cls: 0.0543, s1.acc: 95.9222, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0869, s2.loss_cls: 0.0284, s2.acc: 95.6444, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0417, loss: 0.9080 2022-09-15 16:10:08,248 - mmdet - INFO - Epoch [26][6350/7330] lr: 1.000e-04, eta: 1 day, 1:25:50, time: 1.232, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1617, s0.loss_cls: 0.1286, s0.acc: 95.3320, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1796, s1.loss_cls: 0.0612, s1.acc: 95.6040, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0849, s2.loss_cls: 0.0312, s2.acc: 95.4526, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0402, loss: 0.9321 2022-09-15 16:11:09,247 - mmdet - INFO - Epoch [26][6400/7330] lr: 1.000e-04, eta: 1 day, 1:24:45, time: 1.220, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1285, s0.acc: 95.3794, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1876, s1.loss_cls: 0.0605, s1.acc: 95.6868, s1.loss_bbox: 0.0816, s1.loss_mask: 0.0893, s2.loss_cls: 0.0310, s2.acc: 95.3971, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0420, loss: 0.9545 2022-09-15 16:12:10,318 - mmdet - INFO - Epoch [26][6450/7330] lr: 1.000e-04, eta: 1 day, 1:23:40, time: 1.221, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0276, loss_semantic_seg: 0.1607, s0.loss_cls: 0.1253, s0.acc: 95.4646, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1866, s1.loss_cls: 0.0589, s1.acc: 95.6836, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0882, s2.loss_cls: 0.0305, s2.acc: 95.4745, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0418, loss: 0.9421 2022-09-15 16:13:11,388 - mmdet - INFO - Epoch [26][6500/7330] lr: 1.000e-04, eta: 1 day, 1:22:35, time: 1.221, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1168, s0.acc: 95.6514, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1812, s1.loss_cls: 0.0556, s1.acc: 95.8835, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0861, s2.loss_cls: 0.0288, s2.acc: 95.7401, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0411, loss: 0.9124 2022-09-15 16:14:11,844 - mmdet - INFO - Epoch [26][6550/7330] lr: 1.000e-04, eta: 1 day, 1:21:28, time: 1.210, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1205, s0.acc: 95.5310, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1816, s1.loss_cls: 0.0571, s1.acc: 95.8142, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0855, s2.loss_cls: 0.0295, s2.acc: 95.6002, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0401, loss: 0.9294 2022-09-15 16:15:13,196 - mmdet - INFO - Epoch [26][6600/7330] lr: 1.000e-04, eta: 1 day, 1:20:25, time: 1.227, data_time: 0.036, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1580, s0.loss_cls: 0.1180, s0.acc: 95.6189, s0.loss_bbox: 0.0675, s0.loss_mask: 0.1797, s1.loss_cls: 0.0558, s1.acc: 95.9037, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0853, s2.loss_cls: 0.0288, s2.acc: 95.6967, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0404, loss: 0.9058 2022-09-15 16:16:13,326 - mmdet - INFO - Epoch [26][6650/7330] lr: 1.000e-04, eta: 1 day, 1:19:15, time: 1.203, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1536, s0.loss_cls: 0.1193, s0.acc: 95.6252, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1854, s1.loss_cls: 0.0563, s1.acc: 95.9113, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0881, s2.loss_cls: 0.0296, s2.acc: 95.6586, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0418, loss: 0.9177 2022-09-15 16:17:13,979 - mmdet - INFO - Epoch [26][6700/7330] lr: 1.000e-04, eta: 1 day, 1:18:09, time: 1.213, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1198, s0.acc: 95.5596, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1786, s1.loss_cls: 0.0584, s1.acc: 95.7196, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0853, s2.loss_cls: 0.0303, s2.acc: 95.5520, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0404, loss: 0.9136 2022-09-15 16:18:15,381 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 16:18:15,385 - mmdet - INFO - Epoch [26][6750/7330] lr: 1.000e-04, eta: 1 day, 1:17:06, time: 1.228, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1616, s0.loss_cls: 0.1232, s0.acc: 95.4775, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1823, s1.loss_cls: 0.0574, s1.acc: 95.7763, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0867, s2.loss_cls: 0.0297, s2.acc: 95.4993, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0413, loss: 0.9312 2022-09-15 16:19:18,918 - mmdet - INFO - Epoch [26][6800/7330] lr: 1.000e-04, eta: 1 day, 1:16:15, time: 1.271, data_time: 0.031, memory: 64752, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1619, s0.loss_cls: 0.1186, s0.acc: 95.6682, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1821, s1.loss_cls: 0.0572, s1.acc: 95.9277, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0860, s2.loss_cls: 0.0292, s2.acc: 95.7653, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0413, loss: 0.9145 2022-09-15 16:20:19,291 - mmdet - INFO - Epoch [26][6850/7330] lr: 1.000e-04, eta: 1 day, 1:15:06, time: 1.207, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1642, s0.loss_cls: 0.1253, s0.acc: 95.4077, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1845, s1.loss_cls: 0.0601, s1.acc: 95.6041, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0878, s2.loss_cls: 0.0306, s2.acc: 95.3680, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0416, loss: 0.9360 2022-09-15 16:21:20,089 - mmdet - INFO - Epoch [26][6900/7330] lr: 1.000e-04, eta: 1 day, 1:14:00, time: 1.215, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0253, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1269, s0.acc: 95.3767, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1888, s1.loss_cls: 0.0597, s1.acc: 95.6543, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0890, s2.loss_cls: 0.0309, s2.acc: 95.4654, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0419, loss: 0.9520 2022-09-15 16:22:21,727 - mmdet - INFO - Epoch [26][6950/7330] lr: 1.000e-04, eta: 1 day, 1:12:59, time: 1.234, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1248, s0.acc: 95.4834, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1784, s1.loss_cls: 0.0604, s1.acc: 95.5963, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0853, s2.loss_cls: 0.0311, s2.acc: 95.4183, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0404, loss: 0.9309 2022-09-15 16:23:23,797 - mmdet - INFO - Epoch [26][7000/7330] lr: 1.000e-04, eta: 1 day, 1:12:00, time: 1.241, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0263, loss_semantic_seg: 0.1586, s0.loss_cls: 0.1337, s0.acc: 95.0125, s0.loss_bbox: 0.0747, s0.loss_mask: 0.1901, s1.loss_cls: 0.0649, s1.acc: 95.1196, s1.loss_bbox: 0.0870, s1.loss_mask: 0.0912, s2.loss_cls: 0.0329, s2.acc: 94.9723, s2.loss_bbox: 0.0580, s2.loss_mask: 0.0429, loss: 0.9799 2022-09-15 16:24:25,685 - mmdet - INFO - Epoch [26][7050/7330] lr: 1.000e-04, eta: 1 day, 1:11:00, time: 1.238, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1226, s0.acc: 95.5623, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1813, s1.loss_cls: 0.0584, s1.acc: 95.7786, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0852, s2.loss_cls: 0.0300, s2.acc: 95.5657, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0403, loss: 0.9152 2022-09-15 16:25:26,786 - mmdet - INFO - Epoch [26][7100/7330] lr: 1.000e-04, eta: 1 day, 1:09:56, time: 1.222, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1612, s0.loss_cls: 0.1217, s0.acc: 95.4785, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1819, s1.loss_cls: 0.0578, s1.acc: 95.7350, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0868, s2.loss_cls: 0.0298, s2.acc: 95.4850, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0410, loss: 0.9150 2022-09-15 16:26:29,260 - mmdet - INFO - Epoch [26][7150/7330] lr: 1.000e-04, eta: 1 day, 1:08:58, time: 1.249, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1283, s0.acc: 95.3987, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1801, s1.loss_cls: 0.0603, s1.acc: 95.7045, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0853, s2.loss_cls: 0.0309, s2.acc: 95.5193, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0404, loss: 0.9391 2022-09-15 16:27:30,166 - mmdet - INFO - Epoch [26][7200/7330] lr: 1.000e-04, eta: 1 day, 1:07:53, time: 1.218, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1565, s0.loss_cls: 0.1175, s0.acc: 95.5886, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1826, s1.loss_cls: 0.0559, s1.acc: 95.8142, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0867, s2.loss_cls: 0.0294, s2.acc: 95.5953, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0411, loss: 0.9157 2022-09-15 16:28:30,197 - mmdet - INFO - Epoch [26][7250/7330] lr: 1.000e-04, eta: 1 day, 1:06:44, time: 1.201, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1216, s0.acc: 95.4902, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1815, s1.loss_cls: 0.0585, s1.acc: 95.6286, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0860, s2.loss_cls: 0.0301, s2.acc: 95.4187, s2.loss_bbox: 0.0558, s2.loss_mask: 0.0410, loss: 0.9300 2022-09-15 16:29:30,352 - mmdet - INFO - Epoch [26][7300/7330] lr: 1.000e-04, eta: 1 day, 1:05:35, time: 1.203, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1244, s0.acc: 95.4519, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1775, s1.loss_cls: 0.0594, s1.acc: 95.6741, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0848, s2.loss_cls: 0.0309, s2.acc: 95.4205, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0405, loss: 0.9230 2022-09-15 16:30:16,108 - mmdet - INFO - Saving checkpoint at 26 epochs 2022-09-15 16:33:37,199 - mmdet - INFO - Evaluating bbox... 2022-09-15 16:34:24,390 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.566 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.753 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.627 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.439 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.607 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.692 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.736 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.736 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.736 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.774 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.860 2022-09-15 16:34:24,390 - mmdet - INFO - Evaluating segm... 2022-09-15 16:35:14,435 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.496 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.736 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.545 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.327 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.530 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.671 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.643 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.643 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.643 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.680 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.780 2022-09-15 16:35:15,452 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 16:35:15,454 - mmdet - INFO - Epoch(val) [26][313] bbox_mAP: 0.5660, bbox_mAP_50: 0.7530, bbox_mAP_75: 0.6270, bbox_mAP_s: 0.4390, bbox_mAP_m: 0.6070, bbox_mAP_l: 0.6920, bbox_mAP_copypaste: 0.566 0.753 0.627 0.439 0.607 0.692, segm_mAP: 0.4960, segm_mAP_50: 0.7360, segm_mAP_75: 0.5450, segm_mAP_s: 0.3270, segm_mAP_m: 0.5300, segm_mAP_l: 0.6710, segm_mAP_copypaste: 0.496 0.736 0.545 0.327 0.530 0.671 2022-09-15 16:38:04,786 - mmdet - INFO - Epoch [27][50/7330] lr: 1.000e-04, eta: 1 day, 1:09:49, time: 3.386, data_time: 2.157, memory: 64752, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1594, s0.loss_cls: 0.1178, s0.acc: 95.7100, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1770, s1.loss_cls: 0.0562, s1.acc: 95.9023, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0842, s2.loss_cls: 0.0296, s2.acc: 95.6417, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0395, loss: 0.8954 2022-09-15 16:39:05,433 - mmdet - INFO - Epoch [27][100/7330] lr: 1.000e-04, eta: 1 day, 1:08:41, time: 1.213, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1570, s0.loss_cls: 0.1260, s0.acc: 95.2812, s0.loss_bbox: 0.0730, s0.loss_mask: 0.1878, s1.loss_cls: 0.0601, s1.acc: 95.5108, s1.loss_bbox: 0.0853, s1.loss_mask: 0.0886, s2.loss_cls: 0.0312, s2.acc: 95.2649, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0424, loss: 0.9520 2022-09-15 16:40:06,715 - mmdet - INFO - Epoch [27][150/7330] lr: 1.000e-04, eta: 1 day, 1:07:36, time: 1.226, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1543, s0.loss_cls: 0.1251, s0.acc: 95.3923, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1801, s1.loss_cls: 0.0597, s1.acc: 95.6010, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0855, s2.loss_cls: 0.0303, s2.acc: 95.3177, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0407, loss: 0.9213 2022-09-15 16:41:08,778 - mmdet - INFO - Epoch [27][200/7330] lr: 1.000e-04, eta: 1 day, 1:06:36, time: 1.241, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1543, s0.loss_cls: 0.1164, s0.acc: 95.6555, s0.loss_bbox: 0.0655, s0.loss_mask: 0.1793, s1.loss_cls: 0.0556, s1.acc: 95.9116, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0857, s2.loss_cls: 0.0287, s2.acc: 95.7325, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0408, loss: 0.8981 2022-09-15 16:42:09,624 - mmdet - INFO - Epoch [27][250/7330] lr: 1.000e-04, eta: 1 day, 1:05:29, time: 1.217, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1549, s0.loss_cls: 0.1170, s0.acc: 95.6704, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1775, s1.loss_cls: 0.0549, s1.acc: 95.9731, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0845, s2.loss_cls: 0.0285, s2.acc: 95.7748, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0398, loss: 0.8961 2022-09-15 16:43:11,016 - mmdet - INFO - Epoch [27][300/7330] lr: 1.000e-04, eta: 1 day, 1:04:25, time: 1.228, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1593, s0.loss_cls: 0.1119, s0.acc: 95.8416, s0.loss_bbox: 0.0648, s0.loss_mask: 0.1753, s1.loss_cls: 0.0532, s1.acc: 95.9657, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0838, s2.loss_cls: 0.0279, s2.acc: 95.6713, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0396, loss: 0.8831 2022-09-15 16:44:12,003 - mmdet - INFO - Epoch [27][350/7330] lr: 1.000e-04, eta: 1 day, 1:03:19, time: 1.220, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1597, s0.loss_cls: 0.1145, s0.acc: 95.7937, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1739, s1.loss_cls: 0.0539, s1.acc: 96.0313, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0825, s2.loss_cls: 0.0277, s2.acc: 95.7838, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0393, loss: 0.8783 2022-09-15 16:45:13,109 - mmdet - INFO - Epoch [27][400/7330] lr: 1.000e-04, eta: 1 day, 1:02:14, time: 1.222, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1545, s0.loss_cls: 0.1237, s0.acc: 95.4980, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1816, s1.loss_cls: 0.0579, s1.acc: 95.7502, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0858, s2.loss_cls: 0.0301, s2.acc: 95.5894, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0407, loss: 0.9213 2022-09-15 16:46:13,592 - mmdet - INFO - Epoch [27][450/7330] lr: 1.000e-04, eta: 1 day, 1:01:05, time: 1.209, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1668, s0.loss_cls: 0.1207, s0.acc: 95.5188, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1824, s1.loss_cls: 0.0575, s1.acc: 95.7084, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0866, s2.loss_cls: 0.0291, s2.acc: 95.6663, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0411, loss: 0.9254 2022-09-15 16:47:13,720 - mmdet - INFO - Epoch [27][500/7330] lr: 1.000e-04, eta: 1 day, 0:59:56, time: 1.203, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1593, s0.loss_cls: 0.1111, s0.acc: 95.8875, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1728, s1.loss_cls: 0.0528, s1.acc: 96.1123, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0822, s2.loss_cls: 0.0274, s2.acc: 95.8906, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0394, loss: 0.8676 2022-09-15 16:48:14,830 - mmdet - INFO - Epoch [27][550/7330] lr: 1.000e-04, eta: 1 day, 0:58:51, time: 1.222, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1177, s0.acc: 95.5884, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1788, s1.loss_cls: 0.0551, s1.acc: 95.9169, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0856, s2.loss_cls: 0.0286, s2.acc: 95.6258, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0408, loss: 0.9105 2022-09-15 16:49:15,143 - mmdet - INFO - Epoch [27][600/7330] lr: 1.000e-04, eta: 1 day, 0:57:42, time: 1.206, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1551, s0.loss_cls: 0.1180, s0.acc: 95.6113, s0.loss_bbox: 0.0661, s0.loss_mask: 0.1790, s1.loss_cls: 0.0551, s1.acc: 95.9046, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0854, s2.loss_cls: 0.0289, s2.acc: 95.6629, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0402, loss: 0.9011 2022-09-15 16:50:15,278 - mmdet - INFO - Epoch [27][650/7330] lr: 1.000e-04, eta: 1 day, 0:56:32, time: 1.203, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1196, s0.acc: 95.5588, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1778, s1.loss_cls: 0.0568, s1.acc: 95.8327, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0843, s2.loss_cls: 0.0294, s2.acc: 95.6076, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0402, loss: 0.9141 2022-09-15 16:51:16,465 - mmdet - INFO - Epoch [27][700/7330] lr: 1.000e-04, eta: 1 day, 0:55:27, time: 1.224, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1563, s0.loss_cls: 0.1134, s0.acc: 95.7559, s0.loss_bbox: 0.0648, s0.loss_mask: 0.1714, s1.loss_cls: 0.0526, s1.acc: 96.0178, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0812, s2.loss_cls: 0.0272, s2.acc: 95.8277, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0385, loss: 0.8728 2022-09-15 16:52:16,505 - mmdet - INFO - Epoch [27][750/7330] lr: 1.000e-04, eta: 1 day, 0:54:17, time: 1.201, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1542, s0.loss_cls: 0.1172, s0.acc: 95.6699, s0.loss_bbox: 0.0675, s0.loss_mask: 0.1801, s1.loss_cls: 0.0557, s1.acc: 95.8586, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0863, s2.loss_cls: 0.0285, s2.acc: 95.7010, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0412, loss: 0.9058 2022-09-15 16:53:17,489 - mmdet - INFO - Epoch [27][800/7330] lr: 1.000e-04, eta: 1 day, 0:53:11, time: 1.219, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1600, s0.loss_cls: 0.1231, s0.acc: 95.5127, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1827, s1.loss_cls: 0.0575, s1.acc: 95.7914, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0875, s2.loss_cls: 0.0297, s2.acc: 95.5730, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0412, loss: 0.9250 2022-09-15 16:54:18,256 - mmdet - INFO - Epoch [27][850/7330] lr: 1.000e-04, eta: 1 day, 0:52:05, time: 1.216, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1613, s0.loss_cls: 0.1202, s0.acc: 95.5947, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1752, s1.loss_cls: 0.0571, s1.acc: 95.8355, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0834, s2.loss_cls: 0.0289, s2.acc: 95.7801, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0396, loss: 0.8949 2022-09-15 16:55:18,562 - mmdet - INFO - Epoch [27][900/7330] lr: 1.000e-04, eta: 1 day, 0:50:56, time: 1.206, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0254, loss_semantic_seg: 0.1646, s0.loss_cls: 0.1254, s0.acc: 95.4497, s0.loss_bbox: 0.0710, s0.loss_mask: 0.1859, s1.loss_cls: 0.0598, s1.acc: 95.6409, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0879, s2.loss_cls: 0.0316, s2.acc: 95.3301, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0420, loss: 0.9457 2022-09-15 16:56:19,870 - mmdet - INFO - Epoch [27][950/7330] lr: 1.000e-04, eta: 1 day, 0:49:52, time: 1.226, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1591, s0.loss_cls: 0.1176, s0.acc: 95.7246, s0.loss_bbox: 0.0643, s0.loss_mask: 0.1720, s1.loss_cls: 0.0553, s1.acc: 96.0008, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0824, s2.loss_cls: 0.0289, s2.acc: 95.8057, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0390, loss: 0.8873 2022-09-15 16:57:20,464 - mmdet - INFO - Epoch [27][1000/7330] lr: 1.000e-04, eta: 1 day, 0:48:45, time: 1.212, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1535, s0.loss_cls: 0.1175, s0.acc: 95.6216, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1823, s1.loss_cls: 0.0551, s1.acc: 95.9673, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0863, s2.loss_cls: 0.0285, s2.acc: 95.7287, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0410, loss: 0.9073 2022-09-15 16:58:21,007 - mmdet - INFO - Epoch [27][1050/7330] lr: 1.000e-04, eta: 1 day, 0:47:38, time: 1.211, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1576, s0.loss_cls: 0.1237, s0.acc: 95.3689, s0.loss_bbox: 0.0689, s0.loss_mask: 0.1797, s1.loss_cls: 0.0583, s1.acc: 95.6339, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0855, s2.loss_cls: 0.0302, s2.acc: 95.4266, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0402, loss: 0.9223 2022-09-15 16:59:22,845 - mmdet - INFO - Epoch [27][1100/7330] lr: 1.000e-04, eta: 1 day, 0:46:36, time: 1.236, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1650, s0.loss_cls: 0.1278, s0.acc: 95.2671, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1836, s1.loss_cls: 0.0607, s1.acc: 95.5297, s1.loss_bbox: 0.0827, s1.loss_mask: 0.0870, s2.loss_cls: 0.0315, s2.acc: 95.2655, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0414, loss: 0.9469 2022-09-15 17:00:23,899 - mmdet - INFO - Epoch [27][1150/7330] lr: 1.000e-04, eta: 1 day, 0:45:31, time: 1.222, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1213, s0.acc: 95.5498, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1803, s1.loss_cls: 0.0576, s1.acc: 95.7297, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0851, s2.loss_cls: 0.0294, s2.acc: 95.4923, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0402, loss: 0.9202 2022-09-15 17:01:23,379 - mmdet - INFO - Epoch [27][1200/7330] lr: 1.000e-04, eta: 1 day, 0:44:19, time: 1.190, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1570, s0.loss_cls: 0.1182, s0.acc: 95.6494, s0.loss_bbox: 0.0634, s0.loss_mask: 0.1785, s1.loss_cls: 0.0565, s1.acc: 95.8141, s1.loss_bbox: 0.0772, s1.loss_mask: 0.0846, s2.loss_cls: 0.0292, s2.acc: 95.5932, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0401, loss: 0.8962 2022-09-15 17:02:25,569 - mmdet - INFO - Epoch [27][1250/7330] lr: 1.000e-04, eta: 1 day, 0:43:19, time: 1.243, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1567, s0.loss_cls: 0.1230, s0.acc: 95.4187, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1829, s1.loss_cls: 0.0580, s1.acc: 95.6585, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0860, s2.loss_cls: 0.0299, s2.acc: 95.4107, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0410, loss: 0.9252 2022-09-15 17:03:26,250 - mmdet - INFO - Epoch [27][1300/7330] lr: 1.000e-04, eta: 1 day, 0:42:13, time: 1.214, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1608, s0.loss_cls: 0.1092, s0.acc: 95.9995, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1780, s1.loss_cls: 0.0509, s1.acc: 96.3120, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0852, s2.loss_cls: 0.0259, s2.acc: 96.1524, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0404, loss: 0.8711 2022-09-15 17:04:28,251 - mmdet - INFO - Epoch [27][1350/7330] lr: 1.000e-04, eta: 1 day, 0:41:12, time: 1.240, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1600, s0.loss_cls: 0.1234, s0.acc: 95.4482, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1778, s1.loss_cls: 0.0580, s1.acc: 95.7119, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0846, s2.loss_cls: 0.0305, s2.acc: 95.4096, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0401, loss: 0.9232 2022-09-15 17:05:29,065 - mmdet - INFO - Epoch [27][1400/7330] lr: 1.000e-04, eta: 1 day, 0:40:06, time: 1.216, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1187, s0.acc: 95.6072, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1817, s1.loss_cls: 0.0558, s1.acc: 95.7991, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0861, s2.loss_cls: 0.0293, s2.acc: 95.5402, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0410, loss: 0.9176 2022-09-15 17:06:29,344 - mmdet - INFO - Epoch [27][1450/7330] lr: 1.000e-04, eta: 1 day, 0:38:58, time: 1.206, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1508, s0.loss_cls: 0.1271, s0.acc: 95.2817, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1838, s1.loss_cls: 0.0603, s1.acc: 95.5751, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0877, s2.loss_cls: 0.0317, s2.acc: 95.2830, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0420, loss: 0.9361 2022-09-15 17:07:30,816 - mmdet - INFO - Epoch [27][1500/7330] lr: 1.000e-04, eta: 1 day, 0:37:55, time: 1.229, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1646, s0.loss_cls: 0.1294, s0.acc: 95.2993, s0.loss_bbox: 0.0719, s0.loss_mask: 0.1891, s1.loss_cls: 0.0610, s1.acc: 95.6399, s1.loss_bbox: 0.0859, s1.loss_mask: 0.0894, s2.loss_cls: 0.0313, s2.acc: 95.3744, s2.loss_bbox: 0.0588, s2.loss_mask: 0.0426, loss: 0.9654 2022-09-15 17:08:31,796 - mmdet - INFO - Epoch [27][1550/7330] lr: 1.000e-04, eta: 1 day, 0:36:49, time: 1.219, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1604, s0.loss_cls: 0.1157, s0.acc: 95.7727, s0.loss_bbox: 0.0645, s0.loss_mask: 0.1791, s1.loss_cls: 0.0547, s1.acc: 95.9888, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0852, s2.loss_cls: 0.0283, s2.acc: 95.7262, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0404, loss: 0.8961 2022-09-15 17:09:32,749 - mmdet - INFO - Epoch [27][1600/7330] lr: 1.000e-04, eta: 1 day, 0:35:44, time: 1.219, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1583, s0.loss_cls: 0.1213, s0.acc: 95.5535, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1853, s1.loss_cls: 0.0574, s1.acc: 95.8388, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0880, s2.loss_cls: 0.0294, s2.acc: 95.5954, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0417, loss: 0.9287 2022-09-15 17:10:33,395 - mmdet - INFO - Epoch [27][1650/7330] lr: 1.000e-04, eta: 1 day, 0:34:38, time: 1.213, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1139, s0.acc: 95.8223, s0.loss_bbox: 0.0649, s0.loss_mask: 0.1830, s1.loss_cls: 0.0540, s1.acc: 96.0446, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0866, s2.loss_cls: 0.0276, s2.acc: 95.8938, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0410, loss: 0.9003 2022-09-15 17:11:33,159 - mmdet - INFO - Epoch [27][1700/7330] lr: 1.000e-04, eta: 1 day, 0:33:27, time: 1.195, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1260, s0.acc: 95.3809, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1830, s1.loss_cls: 0.0591, s1.acc: 95.6735, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0862, s2.loss_cls: 0.0308, s2.acc: 95.3784, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0406, loss: 0.9372 2022-09-15 17:12:34,896 - mmdet - INFO - Epoch [27][1750/7330] lr: 1.000e-04, eta: 1 day, 0:32:25, time: 1.235, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1636, s0.loss_cls: 0.1153, s0.acc: 95.7954, s0.loss_bbox: 0.0642, s0.loss_mask: 0.1797, s1.loss_cls: 0.0558, s1.acc: 95.9917, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0848, s2.loss_cls: 0.0281, s2.acc: 95.8775, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0401, loss: 0.8990 2022-09-15 17:13:35,299 - mmdet - INFO - Epoch [27][1800/7330] lr: 1.000e-04, eta: 1 day, 0:31:18, time: 1.208, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1634, s0.loss_cls: 0.1221, s0.acc: 95.4749, s0.loss_bbox: 0.0706, s0.loss_mask: 0.1837, s1.loss_cls: 0.0579, s1.acc: 95.7008, s1.loss_bbox: 0.0821, s1.loss_mask: 0.0868, s2.loss_cls: 0.0295, s2.acc: 95.5252, s2.loss_bbox: 0.0555, s2.loss_mask: 0.0413, loss: 0.9379 2022-09-15 17:14:36,229 - mmdet - INFO - Epoch [27][1850/7330] lr: 1.000e-04, eta: 1 day, 0:30:12, time: 1.218, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1150, s0.acc: 95.7590, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1817, s1.loss_cls: 0.0544, s1.acc: 95.9774, s1.loss_bbox: 0.0778, s1.loss_mask: 0.0860, s2.loss_cls: 0.0280, s2.acc: 95.7737, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0407, loss: 0.8986 2022-09-15 17:15:37,349 - mmdet - INFO - Epoch [27][1900/7330] lr: 1.000e-04, eta: 1 day, 0:29:08, time: 1.223, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1537, s0.loss_cls: 0.1209, s0.acc: 95.6531, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1832, s1.loss_cls: 0.0577, s1.acc: 95.8758, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0868, s2.loss_cls: 0.0298, s2.acc: 95.6216, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0412, loss: 0.9093 2022-09-15 17:16:37,898 - mmdet - INFO - Epoch [27][1950/7330] lr: 1.000e-04, eta: 1 day, 0:28:01, time: 1.210, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0266, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1342, s0.acc: 95.0891, s0.loss_bbox: 0.0765, s0.loss_mask: 0.1874, s1.loss_cls: 0.0638, s1.acc: 95.3365, s1.loss_bbox: 0.0896, s1.loss_mask: 0.0885, s2.loss_cls: 0.0331, s2.acc: 95.0417, s2.loss_bbox: 0.0584, s2.loss_mask: 0.0420, loss: 0.9839 2022-09-15 17:17:39,130 - mmdet - INFO - Epoch [27][2000/7330] lr: 1.000e-04, eta: 1 day, 0:26:58, time: 1.225, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1597, s0.loss_cls: 0.1239, s0.acc: 95.4319, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1808, s1.loss_cls: 0.0587, s1.acc: 95.6103, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0863, s2.loss_cls: 0.0305, s2.acc: 95.4214, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0407, loss: 0.9288 2022-09-15 17:18:38,688 - mmdet - INFO - Epoch [27][2050/7330] lr: 1.000e-04, eta: 1 day, 0:25:47, time: 1.191, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1576, s0.loss_cls: 0.1194, s0.acc: 95.6626, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1830, s1.loss_cls: 0.0563, s1.acc: 95.9343, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0878, s2.loss_cls: 0.0293, s2.acc: 95.7544, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0419, loss: 0.9114 2022-09-15 17:19:38,718 - mmdet - INFO - Epoch [27][2100/7330] lr: 1.000e-04, eta: 1 day, 0:24:38, time: 1.200, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1575, s0.loss_cls: 0.1138, s0.acc: 95.8481, s0.loss_bbox: 0.0624, s0.loss_mask: 0.1737, s1.loss_cls: 0.0540, s1.acc: 96.0648, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0826, s2.loss_cls: 0.0281, s2.acc: 95.9467, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0395, loss: 0.8715 2022-09-15 17:20:39,871 - mmdet - INFO - Epoch [27][2150/7330] lr: 1.000e-04, eta: 1 day, 0:23:34, time: 1.224, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1222, s0.acc: 95.4807, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1772, s1.loss_cls: 0.0580, s1.acc: 95.7826, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0837, s2.loss_cls: 0.0298, s2.acc: 95.5834, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0397, loss: 0.9097 2022-09-15 17:21:40,739 - mmdet - INFO - Epoch [27][2200/7330] lr: 1.000e-04, eta: 1 day, 0:22:28, time: 1.217, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1628, s0.loss_cls: 0.1205, s0.acc: 95.5615, s0.loss_bbox: 0.0645, s0.loss_mask: 0.1732, s1.loss_cls: 0.0574, s1.acc: 95.7814, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0827, s2.loss_cls: 0.0297, s2.acc: 95.5482, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0396, loss: 0.8995 2022-09-15 17:22:41,070 - mmdet - INFO - Epoch [27][2250/7330] lr: 1.000e-04, eta: 1 day, 0:21:21, time: 1.207, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1611, s0.loss_cls: 0.1163, s0.acc: 95.6414, s0.loss_bbox: 0.0650, s0.loss_mask: 0.1765, s1.loss_cls: 0.0551, s1.acc: 95.8684, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0842, s2.loss_cls: 0.0287, s2.acc: 95.6081, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0403, loss: 0.8945 2022-09-15 17:23:41,766 - mmdet - INFO - Epoch [27][2300/7330] lr: 1.000e-04, eta: 1 day, 0:20:15, time: 1.214, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0265, loss_semantic_seg: 0.1604, s0.loss_cls: 0.1251, s0.acc: 95.3564, s0.loss_bbox: 0.0712, s0.loss_mask: 0.1851, s1.loss_cls: 0.0602, s1.acc: 95.4889, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0880, s2.loss_cls: 0.0307, s2.acc: 95.3541, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0414, loss: 0.9434 2022-09-15 17:24:41,626 - mmdet - INFO - Epoch [27][2350/7330] lr: 1.000e-04, eta: 1 day, 0:19:06, time: 1.197, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1608, s0.loss_cls: 0.1151, s0.acc: 95.6863, s0.loss_bbox: 0.0656, s0.loss_mask: 0.1792, s1.loss_cls: 0.0549, s1.acc: 95.8498, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0845, s2.loss_cls: 0.0283, s2.acc: 95.6616, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0399, loss: 0.9005 2022-09-15 17:25:41,931 - mmdet - INFO - Epoch [27][2400/7330] lr: 1.000e-04, eta: 1 day, 0:17:58, time: 1.206, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1156, s0.acc: 95.7144, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1798, s1.loss_cls: 0.0540, s1.acc: 96.0117, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0855, s2.loss_cls: 0.0283, s2.acc: 95.7837, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0408, loss: 0.9012 2022-09-15 17:26:43,103 - mmdet - INFO - Epoch [27][2450/7330] lr: 1.000e-04, eta: 1 day, 0:16:54, time: 1.223, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1590, s0.loss_cls: 0.1168, s0.acc: 95.7117, s0.loss_bbox: 0.0655, s0.loss_mask: 0.1827, s1.loss_cls: 0.0561, s1.acc: 95.9042, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0870, s2.loss_cls: 0.0286, s2.acc: 95.7552, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0412, loss: 0.9059 2022-09-15 17:27:43,112 - mmdet - INFO - Epoch [27][2500/7330] lr: 1.000e-04, eta: 1 day, 0:15:46, time: 1.201, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1614, s0.loss_cls: 0.1186, s0.acc: 95.6360, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1788, s1.loss_cls: 0.0560, s1.acc: 95.9310, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0846, s2.loss_cls: 0.0290, s2.acc: 95.6286, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0403, loss: 0.9072 2022-09-15 17:28:44,615 - mmdet - INFO - Epoch [27][2550/7330] lr: 1.000e-04, eta: 1 day, 0:14:43, time: 1.230, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1658, s0.loss_cls: 0.1194, s0.acc: 95.5693, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1815, s1.loss_cls: 0.0569, s1.acc: 95.8596, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0864, s2.loss_cls: 0.0291, s2.acc: 95.6934, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0409, loss: 0.9228 2022-09-15 17:29:45,010 - mmdet - INFO - Epoch [27][2600/7330] lr: 1.000e-04, eta: 1 day, 0:13:36, time: 1.208, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1635, s0.loss_cls: 0.1258, s0.acc: 95.4116, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1833, s1.loss_cls: 0.0598, s1.acc: 95.7051, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0873, s2.loss_cls: 0.0310, s2.acc: 95.4234, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0411, loss: 0.9318 2022-09-15 17:30:45,709 - mmdet - INFO - Epoch [27][2650/7330] lr: 1.000e-04, eta: 1 day, 0:12:30, time: 1.214, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1671, s0.loss_cls: 0.1236, s0.acc: 95.5728, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1817, s1.loss_cls: 0.0582, s1.acc: 95.8509, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0859, s2.loss_cls: 0.0301, s2.acc: 95.6548, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0409, loss: 0.9288 2022-09-15 17:31:47,035 - mmdet - INFO - Epoch [27][2700/7330] lr: 1.000e-04, eta: 1 day, 0:11:27, time: 1.227, data_time: 0.030, memory: 64752, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1584, s0.loss_cls: 0.1129, s0.acc: 95.7803, s0.loss_bbox: 0.0646, s0.loss_mask: 0.1743, s1.loss_cls: 0.0534, s1.acc: 96.0174, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0830, s2.loss_cls: 0.0272, s2.acc: 95.9211, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0395, loss: 0.8802 2022-09-15 17:32:47,365 - mmdet - INFO - Epoch [27][2750/7330] lr: 1.000e-04, eta: 1 day, 0:10:20, time: 1.207, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1564, s0.loss_cls: 0.1223, s0.acc: 95.4729, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1817, s1.loss_cls: 0.0570, s1.acc: 95.8262, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0866, s2.loss_cls: 0.0291, s2.acc: 95.6649, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0411, loss: 0.9213 2022-09-15 17:33:48,133 - mmdet - INFO - Epoch [27][2800/7330] lr: 1.000e-04, eta: 1 day, 0:09:15, time: 1.215, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1510, s0.loss_cls: 0.1188, s0.acc: 95.6145, s0.loss_bbox: 0.0652, s0.loss_mask: 0.1806, s1.loss_cls: 0.0562, s1.acc: 95.8871, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0857, s2.loss_cls: 0.0289, s2.acc: 95.6916, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0407, loss: 0.8998 2022-09-15 17:34:49,574 - mmdet - INFO - Epoch [27][2850/7330] lr: 1.000e-04, eta: 1 day, 0:08:12, time: 1.229, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1571, s0.loss_cls: 0.1198, s0.acc: 95.5149, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1811, s1.loss_cls: 0.0566, s1.acc: 95.8544, s1.loss_bbox: 0.0803, s1.loss_mask: 0.0862, s2.loss_cls: 0.0291, s2.acc: 95.6743, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0412, loss: 0.9159 2022-09-15 17:35:50,129 - mmdet - INFO - Epoch [27][2900/7330] lr: 1.000e-04, eta: 1 day, 0:07:06, time: 1.211, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1586, s0.loss_cls: 0.1264, s0.acc: 95.3245, s0.loss_bbox: 0.0715, s0.loss_mask: 0.1852, s1.loss_cls: 0.0593, s1.acc: 95.6064, s1.loss_bbox: 0.0828, s1.loss_mask: 0.0882, s2.loss_cls: 0.0307, s2.acc: 95.4143, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0419, loss: 0.9429 2022-09-15 17:36:51,322 - mmdet - INFO - Epoch [27][2950/7330] lr: 1.000e-04, eta: 1 day, 0:06:03, time: 1.224, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1640, s0.loss_cls: 0.1215, s0.acc: 95.5366, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1753, s1.loss_cls: 0.0583, s1.acc: 95.7279, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0836, s2.loss_cls: 0.0300, s2.acc: 95.4857, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0398, loss: 0.9135 2022-09-15 17:37:52,718 - mmdet - INFO - Epoch [27][3000/7330] lr: 1.000e-04, eta: 1 day, 0:05:00, time: 1.228, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1215, s0.acc: 95.5325, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1769, s1.loss_cls: 0.0568, s1.acc: 95.8133, s1.loss_bbox: 0.0763, s1.loss_mask: 0.0834, s2.loss_cls: 0.0296, s2.acc: 95.5615, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0396, loss: 0.9109 2022-09-15 17:38:53,556 - mmdet - INFO - Epoch [27][3050/7330] lr: 1.000e-04, eta: 1 day, 0:03:55, time: 1.216, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1578, s0.loss_cls: 0.1208, s0.acc: 95.5801, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1757, s1.loss_cls: 0.0565, s1.acc: 95.8875, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0837, s2.loss_cls: 0.0289, s2.acc: 95.6982, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0398, loss: 0.8967 2022-09-15 17:39:53,952 - mmdet - INFO - Epoch [27][3100/7330] lr: 1.000e-04, eta: 1 day, 0:02:48, time: 1.209, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1498, s0.loss_cls: 0.1240, s0.acc: 95.5344, s0.loss_bbox: 0.0688, s0.loss_mask: 0.1833, s1.loss_cls: 0.0594, s1.acc: 95.7005, s1.loss_bbox: 0.0796, s1.loss_mask: 0.0868, s2.loss_cls: 0.0307, s2.acc: 95.4754, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0413, loss: 0.9189 2022-09-15 17:40:53,789 - mmdet - INFO - Epoch [27][3150/7330] lr: 1.000e-04, eta: 1 day, 0:01:40, time: 1.197, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1655, s0.loss_cls: 0.1224, s0.acc: 95.5769, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1844, s1.loss_cls: 0.0572, s1.acc: 95.8574, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0872, s2.loss_cls: 0.0295, s2.acc: 95.5710, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0414, loss: 0.9253 2022-09-15 17:41:54,569 - mmdet - INFO - Epoch [27][3200/7330] lr: 1.000e-04, eta: 1 day, 0:00:34, time: 1.215, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0262, loss_semantic_seg: 0.1530, s0.loss_cls: 0.1268, s0.acc: 95.2495, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1867, s1.loss_cls: 0.0607, s1.acc: 95.4443, s1.loss_bbox: 0.0837, s1.loss_mask: 0.0883, s2.loss_cls: 0.0318, s2.acc: 95.1526, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0418, loss: 0.9445 2022-09-15 17:42:54,727 - mmdet - INFO - Epoch [27][3250/7330] lr: 1.000e-04, eta: 23:59:27, time: 1.204, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1687, s0.loss_cls: 0.1198, s0.acc: 95.6589, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1811, s1.loss_cls: 0.0574, s1.acc: 95.8366, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0858, s2.loss_cls: 0.0301, s2.acc: 95.5954, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0406, loss: 0.9215 2022-09-15 17:43:55,267 - mmdet - INFO - Epoch [27][3300/7330] lr: 1.000e-04, eta: 23:58:21, time: 1.211, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0261, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1280, s0.acc: 95.3088, s0.loss_bbox: 0.0711, s0.loss_mask: 0.1882, s1.loss_cls: 0.0609, s1.acc: 95.4687, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0890, s2.loss_cls: 0.0309, s2.acc: 95.3802, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0421, loss: 0.9541 2022-09-15 17:44:56,072 - mmdet - INFO - Epoch [27][3350/7330] lr: 1.000e-04, eta: 23:57:16, time: 1.216, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1656, s0.loss_cls: 0.1247, s0.acc: 95.4119, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1820, s1.loss_cls: 0.0591, s1.acc: 95.7016, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0861, s2.loss_cls: 0.0308, s2.acc: 95.3563, s2.loss_bbox: 0.0554, s2.loss_mask: 0.0410, loss: 0.9408 2022-09-15 17:45:56,823 - mmdet - INFO - Epoch [27][3400/7330] lr: 1.000e-04, eta: 23:56:11, time: 1.215, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1556, s0.loss_cls: 0.1264, s0.acc: 95.3586, s0.loss_bbox: 0.0673, s0.loss_mask: 0.1826, s1.loss_cls: 0.0609, s1.acc: 95.5639, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0873, s2.loss_cls: 0.0316, s2.acc: 95.1999, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0416, loss: 0.9330 2022-09-15 17:46:58,143 - mmdet - INFO - Epoch [27][3450/7330] lr: 1.000e-04, eta: 23:55:08, time: 1.225, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1560, s0.loss_cls: 0.1198, s0.acc: 95.5779, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1833, s1.loss_cls: 0.0564, s1.acc: 95.8240, s1.loss_bbox: 0.0818, s1.loss_mask: 0.0870, s2.loss_cls: 0.0290, s2.acc: 95.6208, s2.loss_bbox: 0.0556, s2.loss_mask: 0.0408, loss: 0.9157 2022-09-15 17:47:58,194 - mmdet - INFO - Epoch [27][3500/7330] lr: 1.000e-04, eta: 23:54:00, time: 1.203, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1518, s0.loss_cls: 0.1220, s0.acc: 95.5044, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1806, s1.loss_cls: 0.0575, s1.acc: 95.8002, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0860, s2.loss_cls: 0.0295, s2.acc: 95.6316, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0410, loss: 0.9098 2022-09-15 17:48:59,372 - mmdet - INFO - Epoch [27][3550/7330] lr: 1.000e-04, eta: 23:52:57, time: 1.224, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1751, s0.loss_cls: 0.1253, s0.acc: 95.4739, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1846, s1.loss_cls: 0.0584, s1.acc: 95.7602, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0876, s2.loss_cls: 0.0306, s2.acc: 95.5420, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0416, loss: 0.9513 2022-09-15 17:50:00,951 - mmdet - INFO - Epoch [27][3600/7330] lr: 1.000e-04, eta: 23:51:55, time: 1.231, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1273, s0.acc: 95.3125, s0.loss_bbox: 0.0708, s0.loss_mask: 0.1839, s1.loss_cls: 0.0608, s1.acc: 95.5512, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0873, s2.loss_cls: 0.0315, s2.acc: 95.2969, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0413, loss: 0.9385 2022-09-15 17:51:01,329 - mmdet - INFO - Epoch [27][3650/7330] lr: 1.000e-04, eta: 23:50:49, time: 1.208, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1681, s0.loss_cls: 0.1298, s0.acc: 95.2661, s0.loss_bbox: 0.0705, s0.loss_mask: 0.1809, s1.loss_cls: 0.0612, s1.acc: 95.5561, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0859, s2.loss_cls: 0.0314, s2.acc: 95.3342, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0407, loss: 0.9461 2022-09-15 17:52:01,988 - mmdet - INFO - Epoch [27][3700/7330] lr: 1.000e-04, eta: 23:49:43, time: 1.213, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1590, s0.loss_cls: 0.1218, s0.acc: 95.5027, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1818, s1.loss_cls: 0.0574, s1.acc: 95.8055, s1.loss_bbox: 0.0791, s1.loss_mask: 0.0868, s2.loss_cls: 0.0293, s2.acc: 95.5914, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0416, loss: 0.9202 2022-09-15 17:53:03,570 - mmdet - INFO - Epoch [27][3750/7330] lr: 1.000e-04, eta: 23:48:42, time: 1.232, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1496, s0.loss_cls: 0.1292, s0.acc: 95.2358, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1838, s1.loss_cls: 0.0617, s1.acc: 95.4076, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0876, s2.loss_cls: 0.0315, s2.acc: 95.1930, s2.loss_bbox: 0.0569, s2.loss_mask: 0.0415, loss: 0.9364 2022-09-15 17:54:04,060 - mmdet - INFO - Epoch [27][3800/7330] lr: 1.000e-04, eta: 23:47:36, time: 1.210, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1577, s0.loss_cls: 0.1204, s0.acc: 95.6409, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1823, s1.loss_cls: 0.0568, s1.acc: 95.8387, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0873, s2.loss_cls: 0.0295, s2.acc: 95.5831, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0416, loss: 0.9146 2022-09-15 17:55:05,132 - mmdet - INFO - Epoch [27][3850/7330] lr: 1.000e-04, eta: 23:46:32, time: 1.221, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1516, s0.loss_cls: 0.1207, s0.acc: 95.5242, s0.loss_bbox: 0.0668, s0.loss_mask: 0.1775, s1.loss_cls: 0.0573, s1.acc: 95.8461, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0843, s2.loss_cls: 0.0294, s2.acc: 95.5953, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0394, loss: 0.8975 2022-09-15 17:56:06,892 - mmdet - INFO - Epoch [27][3900/7330] lr: 1.000e-04, eta: 23:45:31, time: 1.235, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1179, s0.acc: 95.5706, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1776, s1.loss_cls: 0.0563, s1.acc: 95.7975, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0842, s2.loss_cls: 0.0291, s2.acc: 95.5489, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0398, loss: 0.9022 2022-09-15 17:57:06,698 - mmdet - INFO - Epoch [27][3950/7330] lr: 1.000e-04, eta: 23:44:23, time: 1.196, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1603, s0.loss_cls: 0.1167, s0.acc: 95.6790, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1836, s1.loss_cls: 0.0563, s1.acc: 95.8792, s1.loss_bbox: 0.0789, s1.loss_mask: 0.0879, s2.loss_cls: 0.0288, s2.acc: 95.7369, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0419, loss: 0.9154 2022-09-15 17:58:07,442 - mmdet - INFO - Epoch [27][4000/7330] lr: 1.000e-04, eta: 23:43:18, time: 1.215, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1553, s0.loss_cls: 0.1248, s0.acc: 95.4341, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1844, s1.loss_cls: 0.0600, s1.acc: 95.6416, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0878, s2.loss_cls: 0.0311, s2.acc: 95.3973, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0419, loss: 0.9343 2022-09-15 17:59:08,568 - mmdet - INFO - Epoch [27][4050/7330] lr: 1.000e-04, eta: 23:42:14, time: 1.222, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1577, s0.loss_cls: 0.1243, s0.acc: 95.3210, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1783, s1.loss_cls: 0.0596, s1.acc: 95.5301, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0840, s2.loss_cls: 0.0303, s2.acc: 95.3669, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0398, loss: 0.9206 2022-09-15 18:00:14,418 - mmdet - INFO - Epoch [27][4100/7330] lr: 1.000e-04, eta: 23:41:28, time: 1.316, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1628, s0.loss_cls: 0.1206, s0.acc: 95.6033, s0.loss_bbox: 0.0649, s0.loss_mask: 0.1856, s1.loss_cls: 0.0580, s1.acc: 95.8111, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0875, s2.loss_cls: 0.0300, s2.acc: 95.5710, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0415, loss: 0.9169 2022-09-15 18:01:15,578 - mmdet - INFO - Epoch [27][4150/7330] lr: 1.000e-04, eta: 23:40:25, time: 1.224, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1649, s0.loss_cls: 0.1192, s0.acc: 95.6736, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1818, s1.loss_cls: 0.0570, s1.acc: 95.8833, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0859, s2.loss_cls: 0.0296, s2.acc: 95.6725, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0411, loss: 0.9192 2022-09-15 18:02:17,250 - mmdet - INFO - Epoch [27][4200/7330] lr: 1.000e-04, eta: 23:39:23, time: 1.233, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1559, s0.loss_cls: 0.1195, s0.acc: 95.6243, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1773, s1.loss_cls: 0.0564, s1.acc: 95.8836, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0843, s2.loss_cls: 0.0293, s2.acc: 95.6637, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0401, loss: 0.8968 2022-09-15 18:03:19,294 - mmdet - INFO - Epoch [27][4250/7330] lr: 1.000e-04, eta: 23:38:23, time: 1.241, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1646, s0.loss_cls: 0.1261, s0.acc: 95.3699, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1783, s1.loss_cls: 0.0607, s1.acc: 95.5605, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0842, s2.loss_cls: 0.0310, s2.acc: 95.3445, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0399, loss: 0.9276 2022-09-15 18:04:20,513 - mmdet - INFO - Epoch [27][4300/7330] lr: 1.000e-04, eta: 23:37:20, time: 1.224, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1589, s0.loss_cls: 0.1173, s0.acc: 95.7412, s0.loss_bbox: 0.0645, s0.loss_mask: 0.1734, s1.loss_cls: 0.0550, s1.acc: 96.0158, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0820, s2.loss_cls: 0.0279, s2.acc: 95.8954, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0391, loss: 0.8813 2022-09-15 18:05:21,313 - mmdet - INFO - Epoch [27][4350/7330] lr: 1.000e-04, eta: 23:36:16, time: 1.215, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1642, s0.loss_cls: 0.1146, s0.acc: 95.7988, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1812, s1.loss_cls: 0.0543, s1.acc: 96.0621, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0858, s2.loss_cls: 0.0277, s2.acc: 95.9225, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0407, loss: 0.8992 2022-09-15 18:06:22,196 - mmdet - INFO - Epoch [27][4400/7330] lr: 1.000e-04, eta: 23:35:11, time: 1.215, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1559, s0.loss_cls: 0.1225, s0.acc: 95.4749, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1856, s1.loss_cls: 0.0589, s1.acc: 95.6563, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0872, s2.loss_cls: 0.0301, s2.acc: 95.4922, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0413, loss: 0.9233 2022-09-15 18:07:23,171 - mmdet - INFO - Epoch [27][4450/7330] lr: 1.000e-04, eta: 23:34:07, time: 1.222, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1204, s0.acc: 95.5803, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1790, s1.loss_cls: 0.0560, s1.acc: 95.8680, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0847, s2.loss_cls: 0.0291, s2.acc: 95.6777, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0402, loss: 0.9074 2022-09-15 18:08:23,965 - mmdet - INFO - Epoch [27][4500/7330] lr: 1.000e-04, eta: 23:33:03, time: 1.216, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1643, s0.loss_cls: 0.1171, s0.acc: 95.6428, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1852, s1.loss_cls: 0.0556, s1.acc: 95.8321, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0876, s2.loss_cls: 0.0295, s2.acc: 95.4718, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0415, loss: 0.9176 2022-09-15 18:09:25,899 - mmdet - INFO - Epoch [27][4550/7330] lr: 1.000e-04, eta: 23:32:02, time: 1.239, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1609, s0.loss_cls: 0.1188, s0.acc: 95.5713, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1807, s1.loss_cls: 0.0556, s1.acc: 95.8588, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0860, s2.loss_cls: 0.0290, s2.acc: 95.5871, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0410, loss: 0.9150 2022-09-15 18:10:27,209 - mmdet - INFO - Epoch [27][4600/7330] lr: 1.000e-04, eta: 23:31:00, time: 1.226, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1604, s0.loss_cls: 0.1253, s0.acc: 95.3982, s0.loss_bbox: 0.0692, s0.loss_mask: 0.1790, s1.loss_cls: 0.0601, s1.acc: 95.6430, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0847, s2.loss_cls: 0.0306, s2.acc: 95.4965, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0402, loss: 0.9250 2022-09-15 18:11:27,777 - mmdet - INFO - Epoch [27][4650/7330] lr: 1.000e-04, eta: 23:29:54, time: 1.211, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1575, s0.loss_cls: 0.1168, s0.acc: 95.6323, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1790, s1.loss_cls: 0.0567, s1.acc: 95.8006, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0843, s2.loss_cls: 0.0299, s2.acc: 95.5255, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0400, loss: 0.9026 2022-09-15 18:12:28,589 - mmdet - INFO - Epoch [27][4700/7330] lr: 1.000e-04, eta: 23:28:50, time: 1.216, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1588, s0.loss_cls: 0.1244, s0.acc: 95.5215, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1762, s1.loss_cls: 0.0601, s1.acc: 95.7087, s1.loss_bbox: 0.0771, s1.loss_mask: 0.0834, s2.loss_cls: 0.0306, s2.acc: 95.5201, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0398, loss: 0.9123 2022-09-15 18:13:29,180 - mmdet - INFO - Epoch [27][4750/7330] lr: 1.000e-04, eta: 23:27:45, time: 1.212, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1596, s0.loss_cls: 0.1122, s0.acc: 95.8630, s0.loss_bbox: 0.0637, s0.loss_mask: 0.1774, s1.loss_cls: 0.0518, s1.acc: 96.1903, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0848, s2.loss_cls: 0.0270, s2.acc: 95.9832, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0404, loss: 0.8836 2022-09-15 18:14:30,996 - mmdet - INFO - Epoch [27][4800/7330] lr: 1.000e-04, eta: 23:26:44, time: 1.236, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1136, s0.acc: 95.8110, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1808, s1.loss_cls: 0.0535, s1.acc: 96.0815, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0854, s2.loss_cls: 0.0279, s2.acc: 95.8484, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0400, loss: 0.8907 2022-09-15 18:15:32,223 - mmdet - INFO - Epoch [27][4850/7330] lr: 1.000e-04, eta: 23:25:41, time: 1.225, data_time: 0.031, memory: 64752, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1618, s0.loss_cls: 0.1225, s0.acc: 95.4104, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1845, s1.loss_cls: 0.0588, s1.acc: 95.6062, s1.loss_bbox: 0.0810, s1.loss_mask: 0.0869, s2.loss_cls: 0.0305, s2.acc: 95.3809, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0410, loss: 0.9318 2022-09-15 18:16:32,825 - mmdet - INFO - Epoch [27][4900/7330] lr: 1.000e-04, eta: 23:24:36, time: 1.212, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1236, s0.acc: 95.4189, s0.loss_bbox: 0.0704, s0.loss_mask: 0.1782, s1.loss_cls: 0.0584, s1.acc: 95.6768, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0849, s2.loss_cls: 0.0305, s2.acc: 95.4008, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0406, loss: 0.9276 2022-09-15 18:17:34,033 - mmdet - INFO - Epoch [27][4950/7330] lr: 1.000e-04, eta: 23:23:33, time: 1.224, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1597, s0.loss_cls: 0.1267, s0.acc: 95.3523, s0.loss_bbox: 0.0693, s0.loss_mask: 0.1865, s1.loss_cls: 0.0612, s1.acc: 95.5495, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0884, s2.loss_cls: 0.0313, s2.acc: 95.3103, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0418, loss: 0.9435 2022-09-15 18:18:35,221 - mmdet - INFO - Epoch [27][5000/7330] lr: 1.000e-04, eta: 23:22:30, time: 1.224, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1254, s0.acc: 95.3484, s0.loss_bbox: 0.0713, s0.loss_mask: 0.1842, s1.loss_cls: 0.0591, s1.acc: 95.5621, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0874, s2.loss_cls: 0.0302, s2.acc: 95.4116, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0413, loss: 0.9377 2022-09-15 18:19:36,054 - mmdet - INFO - Epoch [27][5050/7330] lr: 1.000e-04, eta: 23:21:25, time: 1.217, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1694, s0.loss_cls: 0.1203, s0.acc: 95.5522, s0.loss_bbox: 0.0697, s0.loss_mask: 0.1852, s1.loss_cls: 0.0564, s1.acc: 95.8965, s1.loss_bbox: 0.0808, s1.loss_mask: 0.0871, s2.loss_cls: 0.0290, s2.acc: 95.7110, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0410, loss: 0.9327 2022-09-15 18:20:37,168 - mmdet - INFO - Epoch [27][5100/7330] lr: 1.000e-04, eta: 23:20:22, time: 1.222, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0252, loss_semantic_seg: 0.1638, s0.loss_cls: 0.1261, s0.acc: 95.3794, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1845, s1.loss_cls: 0.0604, s1.acc: 95.6187, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0871, s2.loss_cls: 0.0310, s2.acc: 95.3862, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0408, loss: 0.9344 2022-09-15 18:21:38,805 - mmdet - INFO - Epoch [27][5150/7330] lr: 1.000e-04, eta: 23:19:21, time: 1.233, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1512, s0.loss_cls: 0.1226, s0.acc: 95.4744, s0.loss_bbox: 0.0696, s0.loss_mask: 0.1842, s1.loss_cls: 0.0575, s1.acc: 95.7491, s1.loss_bbox: 0.0819, s1.loss_mask: 0.0875, s2.loss_cls: 0.0299, s2.acc: 95.4648, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0416, loss: 0.9222 2022-09-15 18:22:39,515 - mmdet - INFO - Epoch [27][5200/7330] lr: 1.000e-04, eta: 23:18:16, time: 1.213, data_time: 0.015, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1627, s0.loss_cls: 0.1268, s0.acc: 95.2534, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1847, s1.loss_cls: 0.0596, s1.acc: 95.5990, s1.loss_bbox: 0.0823, s1.loss_mask: 0.0875, s2.loss_cls: 0.0306, s2.acc: 95.4248, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0413, loss: 0.9400 2022-09-15 18:23:40,956 - mmdet - INFO - Epoch [27][5250/7330] lr: 1.000e-04, eta: 23:17:14, time: 1.230, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1535, s0.loss_cls: 0.1230, s0.acc: 95.5010, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1798, s1.loss_cls: 0.0577, s1.acc: 95.7822, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0854, s2.loss_cls: 0.0300, s2.acc: 95.5896, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0405, loss: 0.9136 2022-09-15 18:24:42,240 - mmdet - INFO - Epoch [27][5300/7330] lr: 1.000e-04, eta: 23:16:11, time: 1.226, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1654, s0.loss_cls: 0.1219, s0.acc: 95.4858, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1837, s1.loss_cls: 0.0576, s1.acc: 95.7939, s1.loss_bbox: 0.0798, s1.loss_mask: 0.0864, s2.loss_cls: 0.0299, s2.acc: 95.5816, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0410, loss: 0.9276 2022-09-15 18:25:43,835 - mmdet - INFO - Epoch [27][5350/7330] lr: 1.000e-04, eta: 23:15:10, time: 1.232, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1578, s0.loss_cls: 0.1217, s0.acc: 95.5403, s0.loss_bbox: 0.0703, s0.loss_mask: 0.1845, s1.loss_cls: 0.0570, s1.acc: 95.7977, s1.loss_bbox: 0.0812, s1.loss_mask: 0.0877, s2.loss_cls: 0.0295, s2.acc: 95.5928, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0419, loss: 0.9257 2022-09-15 18:26:44,307 - mmdet - INFO - Epoch [27][5400/7330] lr: 1.000e-04, eta: 23:14:04, time: 1.209, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1616, s0.loss_cls: 0.1185, s0.acc: 95.5847, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1811, s1.loss_cls: 0.0557, s1.acc: 95.8244, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0864, s2.loss_cls: 0.0288, s2.acc: 95.6546, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0412, loss: 0.9119 2022-09-15 18:27:45,010 - mmdet - INFO - Epoch [27][5450/7330] lr: 1.000e-04, eta: 23:13:00, time: 1.214, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1647, s0.loss_cls: 0.1214, s0.acc: 95.4873, s0.loss_bbox: 0.0682, s0.loss_mask: 0.1816, s1.loss_cls: 0.0582, s1.acc: 95.6923, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0851, s2.loss_cls: 0.0302, s2.acc: 95.5325, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0402, loss: 0.9190 2022-09-15 18:28:45,682 - mmdet - INFO - Epoch [27][5500/7330] lr: 1.000e-04, eta: 23:11:55, time: 1.213, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1544, s0.loss_cls: 0.1155, s0.acc: 95.7068, s0.loss_bbox: 0.0670, s0.loss_mask: 0.1716, s1.loss_cls: 0.0541, s1.acc: 96.0299, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0815, s2.loss_cls: 0.0281, s2.acc: 95.7436, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0384, loss: 0.8796 2022-09-15 18:29:47,511 - mmdet - INFO - Epoch [27][5550/7330] lr: 1.000e-04, eta: 23:10:54, time: 1.237, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1630, s0.loss_cls: 0.1297, s0.acc: 95.2812, s0.loss_bbox: 0.0702, s0.loss_mask: 0.1827, s1.loss_cls: 0.0614, s1.acc: 95.5573, s1.loss_bbox: 0.0834, s1.loss_mask: 0.0878, s2.loss_cls: 0.0319, s2.acc: 95.2947, s2.loss_bbox: 0.0562, s2.loss_mask: 0.0417, loss: 0.9512 2022-09-15 18:30:48,832 - mmdet - INFO - Epoch [27][5600/7330] lr: 1.000e-04, eta: 23:09:52, time: 1.227, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0259, loss_semantic_seg: 0.1693, s0.loss_cls: 0.1338, s0.acc: 95.1328, s0.loss_bbox: 0.0724, s0.loss_mask: 0.1919, s1.loss_cls: 0.0638, s1.acc: 95.3618, s1.loss_bbox: 0.0845, s1.loss_mask: 0.0907, s2.loss_cls: 0.0325, s2.acc: 95.1984, s2.loss_bbox: 0.0565, s2.loss_mask: 0.0430, loss: 0.9852 2022-09-15 18:31:50,023 - mmdet - INFO - Epoch [27][5650/7330] lr: 1.000e-04, eta: 23:08:49, time: 1.224, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1653, s0.loss_cls: 0.1233, s0.acc: 95.4043, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1849, s1.loss_cls: 0.0591, s1.acc: 95.6169, s1.loss_bbox: 0.0804, s1.loss_mask: 0.0887, s2.loss_cls: 0.0306, s2.acc: 95.2764, s2.loss_bbox: 0.0551, s2.loss_mask: 0.0424, loss: 0.9403 2022-09-15 18:32:50,129 - mmdet - INFO - Epoch [27][5700/7330] lr: 1.000e-04, eta: 23:07:42, time: 1.201, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1661, s0.loss_cls: 0.1160, s0.acc: 95.6794, s0.loss_bbox: 0.0684, s0.loss_mask: 0.1852, s1.loss_cls: 0.0548, s1.acc: 95.9449, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0883, s2.loss_cls: 0.0283, s2.acc: 95.6932, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0420, loss: 0.9241 2022-09-15 18:33:51,301 - mmdet - INFO - Epoch [27][5750/7330] lr: 1.000e-04, eta: 23:06:39, time: 1.223, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0244, loss_semantic_seg: 0.1652, s0.loss_cls: 0.1203, s0.acc: 95.6382, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1825, s1.loss_cls: 0.0571, s1.acc: 95.8518, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0864, s2.loss_cls: 0.0295, s2.acc: 95.6288, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0409, loss: 0.9210 2022-09-15 18:34:51,834 - mmdet - INFO - Epoch [27][5800/7330] lr: 1.000e-04, eta: 23:05:34, time: 1.211, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1648, s0.loss_cls: 0.1240, s0.acc: 95.4084, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1845, s1.loss_cls: 0.0594, s1.acc: 95.6113, s1.loss_bbox: 0.0820, s1.loss_mask: 0.0868, s2.loss_cls: 0.0308, s2.acc: 95.3522, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0410, loss: 0.9408 2022-09-15 18:35:53,589 - mmdet - INFO - Epoch [27][5850/7330] lr: 1.000e-04, eta: 23:04:33, time: 1.235, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1571, s0.loss_cls: 0.1212, s0.acc: 95.4958, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1789, s1.loss_cls: 0.0568, s1.acc: 95.8228, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0847, s2.loss_cls: 0.0289, s2.acc: 95.6926, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0404, loss: 0.9102 2022-09-15 18:36:55,112 - mmdet - INFO - Epoch [27][5900/7330] lr: 1.000e-04, eta: 23:03:31, time: 1.230, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0257, loss_semantic_seg: 0.1696, s0.loss_cls: 0.1255, s0.acc: 95.3105, s0.loss_bbox: 0.0720, s0.loss_mask: 0.1883, s1.loss_cls: 0.0598, s1.acc: 95.4723, s1.loss_bbox: 0.0839, s1.loss_mask: 0.0895, s2.loss_cls: 0.0312, s2.acc: 95.2439, s2.loss_bbox: 0.0563, s2.loss_mask: 0.0426, loss: 0.9609 2022-09-15 18:37:55,446 - mmdet - INFO - Epoch [27][5950/7330] lr: 1.000e-04, eta: 23:02:26, time: 1.207, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1628, s0.loss_cls: 0.1213, s0.acc: 95.6265, s0.loss_bbox: 0.0661, s0.loss_mask: 0.1843, s1.loss_cls: 0.0563, s1.acc: 95.9240, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0875, s2.loss_cls: 0.0292, s2.acc: 95.7477, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0418, loss: 0.9232 2022-09-15 18:38:55,522 - mmdet - INFO - Epoch [27][6000/7330] lr: 1.000e-04, eta: 23:01:19, time: 1.201, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1624, s0.loss_cls: 0.1234, s0.acc: 95.4893, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1832, s1.loss_cls: 0.0591, s1.acc: 95.6746, s1.loss_bbox: 0.0801, s1.loss_mask: 0.0869, s2.loss_cls: 0.0305, s2.acc: 95.4534, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0413, loss: 0.9305 2022-09-15 18:39:57,099 - mmdet - INFO - Epoch [27][6050/7330] lr: 1.000e-04, eta: 23:00:18, time: 1.232, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0237, loss_semantic_seg: 0.1563, s0.loss_cls: 0.1238, s0.acc: 95.4258, s0.loss_bbox: 0.0687, s0.loss_mask: 0.1834, s1.loss_cls: 0.0588, s1.acc: 95.6335, s1.loss_bbox: 0.0817, s1.loss_mask: 0.0872, s2.loss_cls: 0.0300, s2.acc: 95.5041, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0412, loss: 0.9278 2022-09-15 18:40:58,043 - mmdet - INFO - Epoch [27][6100/7330] lr: 1.000e-04, eta: 22:59:14, time: 1.219, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1585, s0.loss_cls: 0.1171, s0.acc: 95.6284, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1837, s1.loss_cls: 0.0548, s1.acc: 95.8979, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0865, s2.loss_cls: 0.0287, s2.acc: 95.6304, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0413, loss: 0.9076 2022-09-15 18:41:58,355 - mmdet - INFO - Epoch [27][6150/7330] lr: 1.000e-04, eta: 22:58:08, time: 1.206, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1575, s0.loss_cls: 0.1163, s0.acc: 95.6868, s0.loss_bbox: 0.0648, s0.loss_mask: 0.1828, s1.loss_cls: 0.0546, s1.acc: 95.9705, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0867, s2.loss_cls: 0.0281, s2.acc: 95.7852, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0412, loss: 0.8996 2022-09-15 18:42:58,807 - mmdet - INFO - Epoch [27][6200/7330] lr: 1.000e-04, eta: 22:57:03, time: 1.209, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1160, s0.acc: 95.7524, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1757, s1.loss_cls: 0.0533, s1.acc: 96.1141, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0831, s2.loss_cls: 0.0279, s2.acc: 95.8522, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0394, loss: 0.8902 2022-09-15 18:44:00,361 - mmdet - INFO - Epoch [27][6250/7330] lr: 1.000e-04, eta: 22:56:02, time: 1.230, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1559, s0.loss_cls: 0.1230, s0.acc: 95.4573, s0.loss_bbox: 0.0685, s0.loss_mask: 0.1833, s1.loss_cls: 0.0584, s1.acc: 95.7173, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0865, s2.loss_cls: 0.0305, s2.acc: 95.4481, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0409, loss: 0.9242 2022-09-15 18:45:01,915 - mmdet - INFO - Epoch [27][6300/7330] lr: 1.000e-04, eta: 22:55:00, time: 1.232, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1615, s0.loss_cls: 0.1267, s0.acc: 95.3135, s0.loss_bbox: 0.0728, s0.loss_mask: 0.1853, s1.loss_cls: 0.0601, s1.acc: 95.6062, s1.loss_bbox: 0.0832, s1.loss_mask: 0.0879, s2.loss_cls: 0.0306, s2.acc: 95.4349, s2.loss_bbox: 0.0553, s2.loss_mask: 0.0415, loss: 0.9484 2022-09-15 18:46:03,304 - mmdet - INFO - Epoch [27][6350/7330] lr: 1.000e-04, eta: 22:53:58, time: 1.228, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1629, s0.loss_cls: 0.1201, s0.acc: 95.5811, s0.loss_bbox: 0.0655, s0.loss_mask: 0.1768, s1.loss_cls: 0.0570, s1.acc: 95.7801, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0844, s2.loss_cls: 0.0299, s2.acc: 95.5617, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0400, loss: 0.9049 2022-09-15 18:47:04,731 - mmdet - INFO - Epoch [27][6400/7330] lr: 1.000e-04, eta: 22:52:56, time: 1.228, data_time: 0.037, memory: 64752, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1622, s0.loss_cls: 0.1245, s0.acc: 95.3916, s0.loss_bbox: 0.0699, s0.loss_mask: 0.1805, s1.loss_cls: 0.0599, s1.acc: 95.6147, s1.loss_bbox: 0.0814, s1.loss_mask: 0.0852, s2.loss_cls: 0.0306, s2.acc: 95.3684, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0401, loss: 0.9286 2022-09-15 18:48:07,033 - mmdet - INFO - Epoch [27][6450/7330] lr: 1.000e-04, eta: 22:51:57, time: 1.246, data_time: 0.031, memory: 64752, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0258, loss_semantic_seg: 0.1621, s0.loss_cls: 0.1302, s0.acc: 95.3093, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1850, s1.loss_cls: 0.0610, s1.acc: 95.5890, s1.loss_bbox: 0.0847, s1.loss_mask: 0.0874, s2.loss_cls: 0.0317, s2.acc: 95.3603, s2.loss_bbox: 0.0566, s2.loss_mask: 0.0413, loss: 0.9563 2022-09-15 18:49:07,241 - mmdet - INFO - Epoch [27][6500/7330] lr: 1.000e-04, eta: 22:50:51, time: 1.204, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1534, s0.loss_cls: 0.1227, s0.acc: 95.4934, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1854, s1.loss_cls: 0.0577, s1.acc: 95.7452, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0873, s2.loss_cls: 0.0293, s2.acc: 95.4827, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0413, loss: 0.9237 2022-09-15 18:50:07,633 - mmdet - INFO - Epoch [27][6550/7330] lr: 1.000e-04, eta: 22:49:45, time: 1.208, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1589, s0.loss_cls: 0.1257, s0.acc: 95.4236, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1773, s1.loss_cls: 0.0598, s1.acc: 95.6561, s1.loss_bbox: 0.0794, s1.loss_mask: 0.0840, s2.loss_cls: 0.0308, s2.acc: 95.4544, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0399, loss: 0.9185 2022-09-15 18:51:08,459 - mmdet - INFO - Epoch [27][6600/7330] lr: 1.000e-04, eta: 22:48:42, time: 1.217, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1663, s0.loss_cls: 0.1240, s0.acc: 95.4314, s0.loss_bbox: 0.0691, s0.loss_mask: 0.1895, s1.loss_cls: 0.0602, s1.acc: 95.5397, s1.loss_bbox: 0.0811, s1.loss_mask: 0.0901, s2.loss_cls: 0.0311, s2.acc: 95.3059, s2.loss_bbox: 0.0543, s2.loss_mask: 0.0428, loss: 0.9484 2022-09-15 18:52:09,076 - mmdet - INFO - Epoch [27][6650/7330] lr: 1.000e-04, eta: 22:47:37, time: 1.212, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0256, loss_semantic_seg: 0.1713, s0.loss_cls: 0.1279, s0.acc: 95.3169, s0.loss_bbox: 0.0709, s0.loss_mask: 0.1820, s1.loss_cls: 0.0618, s1.acc: 95.5391, s1.loss_bbox: 0.0833, s1.loss_mask: 0.0860, s2.loss_cls: 0.0320, s2.acc: 95.2869, s2.loss_bbox: 0.0552, s2.loss_mask: 0.0407, loss: 0.9556 2022-09-15 18:53:09,806 - mmdet - INFO - Epoch [27][6700/7330] lr: 1.000e-04, eta: 22:46:33, time: 1.215, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1623, s0.loss_cls: 0.1342, s0.acc: 95.1104, s0.loss_bbox: 0.0742, s0.loss_mask: 0.1904, s1.loss_cls: 0.0633, s1.acc: 95.3267, s1.loss_bbox: 0.0871, s1.loss_mask: 0.0897, s2.loss_cls: 0.0326, s2.acc: 95.1508, s2.loss_bbox: 0.0570, s2.loss_mask: 0.0425, loss: 0.9771 2022-09-15 18:54:12,084 - mmdet - INFO - Epoch [27][6750/7330] lr: 1.000e-04, eta: 22:45:34, time: 1.245, data_time: 0.041, memory: 64752, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0250, loss_semantic_seg: 0.1591, s0.loss_cls: 0.1275, s0.acc: 95.3293, s0.loss_bbox: 0.0690, s0.loss_mask: 0.1800, s1.loss_cls: 0.0615, s1.acc: 95.4670, s1.loss_bbox: 0.0815, s1.loss_mask: 0.0855, s2.loss_cls: 0.0315, s2.acc: 95.2200, s2.loss_bbox: 0.0550, s2.loss_mask: 0.0405, loss: 0.9356 2022-09-15 18:55:14,606 - mmdet - INFO - Epoch [27][6800/7330] lr: 1.000e-04, eta: 22:44:35, time: 1.251, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1673, s0.loss_cls: 0.1276, s0.acc: 95.2512, s0.loss_bbox: 0.0722, s0.loss_mask: 0.1832, s1.loss_cls: 0.0605, s1.acc: 95.5410, s1.loss_bbox: 0.0835, s1.loss_mask: 0.0868, s2.loss_cls: 0.0317, s2.acc: 95.2163, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0411, loss: 0.9503 2022-09-15 18:56:15,225 - mmdet - INFO - Epoch [27][6850/7330] lr: 1.000e-04, eta: 22:43:30, time: 1.209, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0255, loss_semantic_seg: 0.1685, s0.loss_cls: 0.1317, s0.acc: 95.1714, s0.loss_bbox: 0.0738, s0.loss_mask: 0.1887, s1.loss_cls: 0.0617, s1.acc: 95.5539, s1.loss_bbox: 0.0852, s1.loss_mask: 0.0892, s2.loss_cls: 0.0318, s2.acc: 95.3195, s2.loss_bbox: 0.0564, s2.loss_mask: 0.0416, loss: 0.9724 2022-09-15 18:57:17,205 - mmdet - INFO - Epoch [27][6900/7330] lr: 1.000e-04, eta: 22:42:30, time: 1.243, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1659, s0.loss_cls: 0.1252, s0.acc: 95.3655, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1822, s1.loss_cls: 0.0595, s1.acc: 95.5757, s1.loss_bbox: 0.0797, s1.loss_mask: 0.0862, s2.loss_cls: 0.0306, s2.acc: 95.3420, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0407, loss: 0.9348 2022-09-15 18:58:18,689 - mmdet - INFO - Epoch [27][6950/7330] lr: 1.000e-04, eta: 22:41:29, time: 1.230, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1620, s0.loss_cls: 0.1223, s0.acc: 95.4941, s0.loss_bbox: 0.0701, s0.loss_mask: 0.1812, s1.loss_cls: 0.0573, s1.acc: 95.7586, s1.loss_bbox: 0.0813, s1.loss_mask: 0.0864, s2.loss_cls: 0.0292, s2.acc: 95.5727, s2.loss_bbox: 0.0547, s2.loss_mask: 0.0411, loss: 0.9272 2022-09-15 18:59:21,119 - mmdet - INFO - Epoch [27][7000/7330] lr: 1.000e-04, eta: 22:40:30, time: 1.249, data_time: 0.036, memory: 64752, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0247, loss_semantic_seg: 0.1546, s0.loss_cls: 0.1195, s0.acc: 95.6453, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1813, s1.loss_cls: 0.0569, s1.acc: 95.8784, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0865, s2.loss_cls: 0.0293, s2.acc: 95.6426, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0408, loss: 0.9068 2022-09-15 19:00:22,369 - mmdet - INFO - Epoch [27][7050/7330] lr: 1.000e-04, eta: 22:39:27, time: 1.225, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0249, loss_semantic_seg: 0.1544, s0.loss_cls: 0.1194, s0.acc: 95.6069, s0.loss_bbox: 0.0659, s0.loss_mask: 0.1838, s1.loss_cls: 0.0568, s1.acc: 95.8368, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0867, s2.loss_cls: 0.0296, s2.acc: 95.5510, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0410, loss: 0.9082 2022-09-15 19:01:23,441 - mmdet - INFO - Epoch [27][7100/7330] lr: 1.000e-04, eta: 22:38:24, time: 1.221, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0246, loss_semantic_seg: 0.1585, s0.loss_cls: 0.1218, s0.acc: 95.5947, s0.loss_bbox: 0.0652, s0.loss_mask: 0.1793, s1.loss_cls: 0.0579, s1.acc: 95.9045, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0849, s2.loss_cls: 0.0292, s2.acc: 95.7053, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0401, loss: 0.9077 2022-09-15 19:02:24,750 - mmdet - INFO - Epoch [27][7150/7330] lr: 1.000e-04, eta: 22:37:22, time: 1.227, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1595, s0.loss_cls: 0.1210, s0.acc: 95.5676, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1792, s1.loss_cls: 0.0571, s1.acc: 95.7922, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0848, s2.loss_cls: 0.0293, s2.acc: 95.5837, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0404, loss: 0.9103 2022-09-15 19:03:26,381 - mmdet - INFO - Epoch [27][7200/7330] lr: 1.000e-04, eta: 22:36:20, time: 1.233, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0245, loss_semantic_seg: 0.1637, s0.loss_cls: 0.1178, s0.acc: 95.6836, s0.loss_bbox: 0.0676, s0.loss_mask: 0.1828, s1.loss_cls: 0.0553, s1.acc: 95.9015, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0863, s2.loss_cls: 0.0286, s2.acc: 95.7311, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0409, loss: 0.9153 2022-09-15 19:04:27,207 - mmdet - INFO - Epoch [27][7250/7330] lr: 1.000e-04, eta: 22:35:17, time: 1.217, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0242, loss_semantic_seg: 0.1599, s0.loss_cls: 0.1222, s0.acc: 95.5066, s0.loss_bbox: 0.0694, s0.loss_mask: 0.1859, s1.loss_cls: 0.0578, s1.acc: 95.7175, s1.loss_bbox: 0.0807, s1.loss_mask: 0.0883, s2.loss_cls: 0.0303, s2.acc: 95.3755, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0420, loss: 0.9320 2022-09-15 19:05:31,116 - mmdet - INFO - Epoch [27][7300/7330] lr: 1.000e-04, eta: 22:34:22, time: 1.278, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0251, loss_semantic_seg: 0.1559, s0.loss_cls: 0.1195, s0.acc: 95.5842, s0.loss_bbox: 0.0681, s0.loss_mask: 0.1816, s1.loss_cls: 0.0562, s1.acc: 95.8076, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0862, s2.loss_cls: 0.0289, s2.acc: 95.6093, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0409, loss: 0.9123 2022-09-15 19:06:15,995 - mmdet - INFO - Saving checkpoint at 27 epochs 2022-09-15 19:09:43,306 - mmdet - INFO - Evaluating bbox... 2022-09-15 19:10:28,792 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.569 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.756 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.626 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.437 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.605 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.701 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.735 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.604 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.770 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.860 2022-09-15 19:10:28,792 - mmdet - INFO - Evaluating segm... 2022-09-15 19:11:17,790 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.496 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.736 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.544 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.316 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.528 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.676 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.498 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.675 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.783 2022-09-15 19:11:19,003 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 19:11:19,005 - mmdet - INFO - Epoch(val) [27][313] bbox_mAP: 0.5690, bbox_mAP_50: 0.7560, bbox_mAP_75: 0.6260, bbox_mAP_s: 0.4370, bbox_mAP_m: 0.6050, bbox_mAP_l: 0.7010, bbox_mAP_copypaste: 0.569 0.756 0.626 0.437 0.605 0.701, segm_mAP: 0.4960, segm_mAP_50: 0.7360, segm_mAP_75: 0.5440, segm_mAP_s: 0.3160, segm_mAP_m: 0.5280, segm_mAP_l: 0.6760, segm_mAP_copypaste: 0.496 0.736 0.544 0.316 0.528 0.676 2022-09-15 19:14:05,270 - mmdet - INFO - Epoch [28][50/7330] lr: 1.000e-05, eta: 22:36:06, time: 3.325, data_time: 2.078, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1493, s0.loss_cls: 0.1147, s0.acc: 95.7102, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1810, s1.loss_cls: 0.0524, s1.acc: 96.0916, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0855, s2.loss_cls: 0.0275, s2.acc: 95.8184, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0409, loss: 0.8886 2022-09-15 19:15:06,624 - mmdet - INFO - Epoch [28][100/7330] lr: 1.000e-05, eta: 22:35:03, time: 1.227, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0240, loss_semantic_seg: 0.1566, s0.loss_cls: 0.1180, s0.acc: 95.5918, s0.loss_bbox: 0.0677, s0.loss_mask: 0.1818, s1.loss_cls: 0.0555, s1.acc: 95.8613, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0858, s2.loss_cls: 0.0285, s2.acc: 95.6367, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0406, loss: 0.9096 2022-09-15 19:16:07,626 - mmdet - INFO - Epoch [28][150/7330] lr: 1.000e-05, eta: 22:34:00, time: 1.219, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1576, s0.loss_cls: 0.1114, s0.acc: 95.9329, s0.loss_bbox: 0.0631, s0.loss_mask: 0.1785, s1.loss_cls: 0.0517, s1.acc: 96.2622, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0845, s2.loss_cls: 0.0269, s2.acc: 96.0019, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0405, loss: 0.8817 2022-09-15 19:17:08,414 - mmdet - INFO - Epoch [28][200/7330] lr: 1.000e-05, eta: 22:32:55, time: 1.216, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1518, s0.loss_cls: 0.1108, s0.acc: 95.9082, s0.loss_bbox: 0.0638, s0.loss_mask: 0.1778, s1.loss_cls: 0.0530, s1.acc: 96.0590, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0837, s2.loss_cls: 0.0276, s2.acc: 95.8069, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0398, loss: 0.8744 2022-09-15 19:18:09,432 - mmdet - INFO - Epoch [28][250/7330] lr: 1.000e-05, eta: 22:31:51, time: 1.219, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1483, s0.loss_cls: 0.1158, s0.acc: 95.7212, s0.loss_bbox: 0.0652, s0.loss_mask: 0.1764, s1.loss_cls: 0.0549, s1.acc: 95.9400, s1.loss_bbox: 0.0775, s1.loss_mask: 0.0837, s2.loss_cls: 0.0283, s2.acc: 95.7848, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0398, loss: 0.8800 2022-09-15 19:19:09,485 - mmdet - INFO - Epoch [28][300/7330] lr: 1.000e-05, eta: 22:30:45, time: 1.202, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1596, s0.loss_cls: 0.1140, s0.acc: 95.7788, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1788, s1.loss_cls: 0.0535, s1.acc: 96.0622, s1.loss_bbox: 0.0786, s1.loss_mask: 0.0851, s2.loss_cls: 0.0277, s2.acc: 95.8266, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0405, loss: 0.8954 2022-09-15 19:20:09,940 - mmdet - INFO - Epoch [28][350/7330] lr: 1.000e-05, eta: 22:29:39, time: 1.209, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1515, s0.loss_cls: 0.1100, s0.acc: 95.8245, s0.loss_bbox: 0.0645, s0.loss_mask: 0.1777, s1.loss_cls: 0.0517, s1.acc: 96.1178, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0846, s2.loss_cls: 0.0271, s2.acc: 95.8404, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0405, loss: 0.8770 2022-09-15 19:21:10,889 - mmdet - INFO - Epoch [28][400/7330] lr: 1.000e-05, eta: 22:28:35, time: 1.219, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1469, s0.loss_cls: 0.1154, s0.acc: 95.7498, s0.loss_bbox: 0.0647, s0.loss_mask: 0.1724, s1.loss_cls: 0.0540, s1.acc: 96.0538, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0819, s2.loss_cls: 0.0282, s2.acc: 95.8119, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0388, loss: 0.8718 2022-09-15 19:22:12,221 - mmdet - INFO - Epoch [28][450/7330] lr: 1.000e-05, eta: 22:27:33, time: 1.227, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1521, s0.loss_cls: 0.1097, s0.acc: 95.8433, s0.loss_bbox: 0.0646, s0.loss_mask: 0.1809, s1.loss_cls: 0.0523, s1.acc: 96.1134, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0860, s2.loss_cls: 0.0277, s2.acc: 95.7708, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0408, loss: 0.8797 2022-09-15 19:23:12,888 - mmdet - INFO - Epoch [28][500/7330] lr: 1.000e-05, eta: 22:26:28, time: 1.213, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1498, s0.loss_cls: 0.1107, s0.acc: 95.8274, s0.loss_bbox: 0.0631, s0.loss_mask: 0.1755, s1.loss_cls: 0.0535, s1.acc: 95.9521, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0829, s2.loss_cls: 0.0275, s2.acc: 95.7171, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0393, loss: 0.8665 2022-09-15 19:24:14,085 - mmdet - INFO - Epoch [28][550/7330] lr: 1.000e-05, eta: 22:25:25, time: 1.224, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1515, s0.loss_cls: 0.1098, s0.acc: 95.9258, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1725, s1.loss_cls: 0.0522, s1.acc: 96.1518, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0819, s2.loss_cls: 0.0268, s2.acc: 95.9004, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0392, loss: 0.8587 2022-09-15 19:25:14,320 - mmdet - INFO - Epoch [28][600/7330] lr: 1.000e-05, eta: 22:24:19, time: 1.205, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0239, loss_semantic_seg: 0.1506, s0.loss_cls: 0.1146, s0.acc: 95.7905, s0.loss_bbox: 0.0651, s0.loss_mask: 0.1758, s1.loss_cls: 0.0538, s1.acc: 96.0275, s1.loss_bbox: 0.0763, s1.loss_mask: 0.0827, s2.loss_cls: 0.0275, s2.acc: 95.8285, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0392, loss: 0.8764 2022-09-15 19:26:15,197 - mmdet - INFO - Epoch [28][650/7330] lr: 1.000e-05, eta: 22:23:15, time: 1.218, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1520, s0.loss_cls: 0.1153, s0.acc: 95.7671, s0.loss_bbox: 0.0662, s0.loss_mask: 0.1753, s1.loss_cls: 0.0542, s1.acc: 96.0300, s1.loss_bbox: 0.0771, s1.loss_mask: 0.0828, s2.loss_cls: 0.0279, s2.acc: 95.8190, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0390, loss: 0.8800 2022-09-15 19:27:16,575 - mmdet - INFO - Epoch [28][700/7330] lr: 1.000e-05, eta: 22:22:12, time: 1.228, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1485, s0.loss_cls: 0.1135, s0.acc: 95.7219, s0.loss_bbox: 0.0630, s0.loss_mask: 0.1764, s1.loss_cls: 0.0533, s1.acc: 95.9787, s1.loss_bbox: 0.0758, s1.loss_mask: 0.0836, s2.loss_cls: 0.0280, s2.acc: 95.7193, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0398, loss: 0.8736 2022-09-15 19:28:18,341 - mmdet - INFO - Epoch [28][750/7330] lr: 1.000e-05, eta: 22:21:11, time: 1.235, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0248, loss_semantic_seg: 0.1453, s0.loss_cls: 0.1186, s0.acc: 95.6016, s0.loss_bbox: 0.0678, s0.loss_mask: 0.1803, s1.loss_cls: 0.0556, s1.acc: 95.8571, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0855, s2.loss_cls: 0.0283, s2.acc: 95.7232, s2.loss_bbox: 0.0549, s2.loss_mask: 0.0405, loss: 0.8990 2022-09-15 19:29:19,753 - mmdet - INFO - Epoch [28][800/7330] lr: 1.000e-05, eta: 22:20:08, time: 1.228, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1394, s0.loss_cls: 0.1090, s0.acc: 95.8999, s0.loss_bbox: 0.0645, s0.loss_mask: 0.1736, s1.loss_cls: 0.0516, s1.acc: 96.0808, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0825, s2.loss_cls: 0.0270, s2.acc: 95.8354, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0398, loss: 0.8578 2022-09-15 19:30:20,532 - mmdet - INFO - Epoch [28][850/7330] lr: 1.000e-05, eta: 22:19:04, time: 1.215, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1467, s0.loss_cls: 0.1135, s0.acc: 95.6997, s0.loss_bbox: 0.0660, s0.loss_mask: 0.1759, s1.loss_cls: 0.0537, s1.acc: 95.9515, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0833, s2.loss_cls: 0.0276, s2.acc: 95.8652, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0397, loss: 0.8773 2022-09-15 19:31:20,541 - mmdet - INFO - Epoch [28][900/7330] lr: 1.000e-05, eta: 22:17:58, time: 1.201, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1503, s0.loss_cls: 0.1073, s0.acc: 96.0393, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1737, s1.loss_cls: 0.0501, s1.acc: 96.2938, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0826, s2.loss_cls: 0.0260, s2.acc: 96.1029, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0390, loss: 0.8511 2022-09-15 19:32:22,253 - mmdet - INFO - Epoch [28][950/7330] lr: 1.000e-05, eta: 22:16:56, time: 1.234, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1369, s0.loss_cls: 0.1118, s0.acc: 95.7651, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1734, s1.loss_cls: 0.0525, s1.acc: 96.0524, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0827, s2.loss_cls: 0.0275, s2.acc: 95.7380, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0396, loss: 0.8581 2022-09-15 19:33:23,601 - mmdet - INFO - Epoch [28][1000/7330] lr: 1.000e-05, eta: 22:15:53, time: 1.227, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1432, s0.loss_cls: 0.1083, s0.acc: 95.9465, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1706, s1.loss_cls: 0.0508, s1.acc: 96.2061, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0818, s2.loss_cls: 0.0264, s2.acc: 96.0366, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0390, loss: 0.8401 2022-09-15 19:34:24,417 - mmdet - INFO - Epoch [28][1050/7330] lr: 1.000e-05, eta: 22:14:49, time: 1.216, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1129, s0.acc: 95.7944, s0.loss_bbox: 0.0649, s0.loss_mask: 0.1793, s1.loss_cls: 0.0543, s1.acc: 95.9072, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0853, s2.loss_cls: 0.0280, s2.acc: 95.7326, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0407, loss: 0.8708 2022-09-15 19:35:25,524 - mmdet - INFO - Epoch [28][1100/7330] lr: 1.000e-05, eta: 22:13:46, time: 1.222, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1461, s0.loss_cls: 0.1049, s0.acc: 96.0239, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1673, s1.loss_cls: 0.0494, s1.acc: 96.2336, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0799, s2.loss_cls: 0.0258, s2.acc: 95.9969, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0382, loss: 0.8265 2022-09-15 19:36:26,413 - mmdet - INFO - Epoch [28][1150/7330] lr: 1.000e-05, eta: 22:12:42, time: 1.218, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1516, s0.loss_cls: 0.1111, s0.acc: 95.8369, s0.loss_bbox: 0.0624, s0.loss_mask: 0.1723, s1.loss_cls: 0.0522, s1.acc: 96.1065, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0815, s2.loss_cls: 0.0270, s2.acc: 95.9276, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0387, loss: 0.8623 2022-09-15 19:37:27,855 - mmdet - INFO - Epoch [28][1200/7330] lr: 1.000e-05, eta: 22:11:40, time: 1.229, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1471, s0.loss_cls: 0.1082, s0.acc: 95.9236, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1708, s1.loss_cls: 0.0515, s1.acc: 96.1432, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0811, s2.loss_cls: 0.0270, s2.acc: 95.8705, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0387, loss: 0.8481 2022-09-15 19:38:28,894 - mmdet - INFO - Epoch [28][1250/7330] lr: 1.000e-05, eta: 22:10:36, time: 1.221, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1485, s0.loss_cls: 0.1174, s0.acc: 95.6023, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1801, s1.loss_cls: 0.0543, s1.acc: 95.9405, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0854, s2.loss_cls: 0.0284, s2.acc: 95.6551, s2.loss_bbox: 0.0548, s2.loss_mask: 0.0405, loss: 0.8965 2022-09-15 19:39:29,673 - mmdet - INFO - Epoch [28][1300/7330] lr: 1.000e-05, eta: 22:09:32, time: 1.216, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1456, s0.loss_cls: 0.1106, s0.acc: 95.8945, s0.loss_bbox: 0.0650, s0.loss_mask: 0.1703, s1.loss_cls: 0.0523, s1.acc: 96.1613, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0807, s2.loss_cls: 0.0270, s2.acc: 95.9519, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0384, loss: 0.8545 2022-09-15 19:40:31,241 - mmdet - INFO - Epoch [28][1350/7330] lr: 1.000e-05, eta: 22:08:30, time: 1.231, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1530, s0.loss_cls: 0.1137, s0.acc: 95.7358, s0.loss_bbox: 0.0643, s0.loss_mask: 0.1788, s1.loss_cls: 0.0543, s1.acc: 95.9386, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0843, s2.loss_cls: 0.0276, s2.acc: 95.7232, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0402, loss: 0.8844 2022-09-15 19:41:31,849 - mmdet - INFO - Epoch [28][1400/7330] lr: 1.000e-05, eta: 22:07:25, time: 1.213, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1485, s0.loss_cls: 0.1047, s0.acc: 96.0818, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1691, s1.loss_cls: 0.0492, s1.acc: 96.3009, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0803, s2.loss_cls: 0.0254, s2.acc: 96.0384, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0382, loss: 0.8350 2022-09-15 19:42:32,771 - mmdet - INFO - Epoch [28][1450/7330] lr: 1.000e-05, eta: 22:06:22, time: 1.218, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1549, s0.loss_cls: 0.1090, s0.acc: 95.9072, s0.loss_bbox: 0.0626, s0.loss_mask: 0.1773, s1.loss_cls: 0.0514, s1.acc: 96.1302, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0843, s2.loss_cls: 0.0267, s2.acc: 95.9183, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0401, loss: 0.8710 2022-09-15 19:43:33,794 - mmdet - INFO - Epoch [28][1500/7330] lr: 1.000e-05, eta: 22:05:18, time: 1.220, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1472, s0.loss_cls: 0.1023, s0.acc: 96.0857, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1796, s1.loss_cls: 0.0474, s1.acc: 96.3819, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0855, s2.loss_cls: 0.0254, s2.acc: 96.0589, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0407, loss: 0.8519 2022-09-15 19:44:33,713 - mmdet - INFO - Epoch [28][1550/7330] lr: 1.000e-05, eta: 22:04:12, time: 1.198, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1489, s0.loss_cls: 0.1092, s0.acc: 95.8582, s0.loss_bbox: 0.0645, s0.loss_mask: 0.1710, s1.loss_cls: 0.0512, s1.acc: 96.0941, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0812, s2.loss_cls: 0.0262, s2.acc: 95.9469, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0386, loss: 0.8575 2022-09-15 19:45:34,455 - mmdet - INFO - Epoch [28][1600/7330] lr: 1.000e-05, eta: 22:03:07, time: 1.216, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1404, s0.loss_cls: 0.1151, s0.acc: 95.7151, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1753, s1.loss_cls: 0.0544, s1.acc: 95.9864, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0831, s2.loss_cls: 0.0280, s2.acc: 95.7832, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0395, loss: 0.8660 2022-09-15 19:46:35,932 - mmdet - INFO - Epoch [28][1650/7330] lr: 1.000e-05, eta: 22:02:05, time: 1.230, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1441, s0.loss_cls: 0.1105, s0.acc: 95.8674, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1731, s1.loss_cls: 0.0521, s1.acc: 96.1300, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0824, s2.loss_cls: 0.0274, s2.acc: 95.7599, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0389, loss: 0.8534 2022-09-15 19:47:36,827 - mmdet - INFO - Epoch [28][1700/7330] lr: 1.000e-05, eta: 22:01:01, time: 1.217, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1429, s0.loss_cls: 0.1103, s0.acc: 95.7944, s0.loss_bbox: 0.0652, s0.loss_mask: 0.1751, s1.loss_cls: 0.0511, s1.acc: 96.1229, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0832, s2.loss_cls: 0.0267, s2.acc: 95.8714, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0397, loss: 0.8627 2022-09-15 19:48:38,207 - mmdet - INFO - Epoch [28][1750/7330] lr: 1.000e-05, eta: 21:59:59, time: 1.228, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1501, s0.loss_cls: 0.1102, s0.acc: 95.9253, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1753, s1.loss_cls: 0.0511, s1.acc: 96.2629, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0838, s2.loss_cls: 0.0263, s2.acc: 96.0861, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0399, loss: 0.8551 2022-09-15 19:49:39,508 - mmdet - INFO - Epoch [28][1800/7330] lr: 1.000e-05, eta: 21:58:56, time: 1.226, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1478, s0.loss_cls: 0.1050, s0.acc: 96.0415, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1708, s1.loss_cls: 0.0495, s1.acc: 96.3907, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0818, s2.loss_cls: 0.0255, s2.acc: 96.1583, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0390, loss: 0.8406 2022-09-15 19:50:39,272 - mmdet - INFO - Epoch [28][1850/7330] lr: 1.000e-05, eta: 21:57:50, time: 1.195, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0243, loss_semantic_seg: 0.1458, s0.loss_cls: 0.1119, s0.acc: 95.7776, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1750, s1.loss_cls: 0.0528, s1.acc: 96.0001, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0833, s2.loss_cls: 0.0274, s2.acc: 95.9384, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0398, loss: 0.8692 2022-09-15 19:51:40,204 - mmdet - INFO - Epoch [28][1900/7330] lr: 1.000e-05, eta: 21:56:46, time: 1.218, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1425, s0.loss_cls: 0.1087, s0.acc: 95.9451, s0.loss_bbox: 0.0638, s0.loss_mask: 0.1754, s1.loss_cls: 0.0506, s1.acc: 96.1472, s1.loss_bbox: 0.0758, s1.loss_mask: 0.0834, s2.loss_cls: 0.0265, s2.acc: 95.8969, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0396, loss: 0.8536 2022-09-15 19:52:41,007 - mmdet - INFO - Epoch [28][1950/7330] lr: 1.000e-05, eta: 21:55:42, time: 1.217, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1473, s0.loss_cls: 0.1110, s0.acc: 95.7642, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1794, s1.loss_cls: 0.0517, s1.acc: 96.0109, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0850, s2.loss_cls: 0.0268, s2.acc: 95.7988, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0405, loss: 0.8802 2022-09-15 19:53:41,891 - mmdet - INFO - Epoch [28][2000/7330] lr: 1.000e-05, eta: 21:54:38, time: 1.218, data_time: 0.030, memory: 64752, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1467, s0.loss_cls: 0.1143, s0.acc: 95.7339, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1751, s1.loss_cls: 0.0535, s1.acc: 96.0272, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0828, s2.loss_cls: 0.0280, s2.acc: 95.7886, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0391, loss: 0.8692 2022-09-15 19:54:42,325 - mmdet - INFO - Epoch [28][2050/7330] lr: 1.000e-05, eta: 21:53:33, time: 1.208, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1414, s0.loss_cls: 0.1109, s0.acc: 95.7922, s0.loss_bbox: 0.0634, s0.loss_mask: 0.1755, s1.loss_cls: 0.0525, s1.acc: 96.0471, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0832, s2.loss_cls: 0.0273, s2.acc: 95.7465, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0393, loss: 0.8604 2022-09-15 19:55:43,061 - mmdet - INFO - Epoch [28][2100/7330] lr: 1.000e-05, eta: 21:52:29, time: 1.215, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1416, s0.loss_cls: 0.1082, s0.acc: 95.8943, s0.loss_bbox: 0.0635, s0.loss_mask: 0.1707, s1.loss_cls: 0.0511, s1.acc: 96.1781, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0810, s2.loss_cls: 0.0266, s2.acc: 95.9633, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0385, loss: 0.8428 2022-09-15 19:56:43,783 - mmdet - INFO - Epoch [28][2150/7330] lr: 1.000e-05, eta: 21:51:25, time: 1.214, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1432, s0.loss_cls: 0.1065, s0.acc: 95.9734, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1695, s1.loss_cls: 0.0497, s1.acc: 96.2703, s1.loss_bbox: 0.0739, s1.loss_mask: 0.0810, s2.loss_cls: 0.0258, s2.acc: 96.0299, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0386, loss: 0.8354 2022-09-15 19:57:45,129 - mmdet - INFO - Epoch [28][2200/7330] lr: 1.000e-05, eta: 21:50:23, time: 1.228, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1487, s0.loss_cls: 0.1072, s0.acc: 96.0012, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1735, s1.loss_cls: 0.0497, s1.acc: 96.3095, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0828, s2.loss_cls: 0.0259, s2.acc: 96.0230, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0395, loss: 0.8473 2022-09-15 19:58:46,150 - mmdet - INFO - Epoch [28][2250/7330] lr: 1.000e-05, eta: 21:49:20, time: 1.220, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1491, s0.loss_cls: 0.1132, s0.acc: 95.7969, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1717, s1.loss_cls: 0.0532, s1.acc: 96.0741, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0819, s2.loss_cls: 0.0274, s2.acc: 95.8810, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0390, loss: 0.8576 2022-09-15 19:59:46,192 - mmdet - INFO - Epoch [28][2300/7330] lr: 1.000e-05, eta: 21:48:14, time: 1.201, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1463, s0.loss_cls: 0.1106, s0.acc: 95.7573, s0.loss_bbox: 0.0636, s0.loss_mask: 0.1796, s1.loss_cls: 0.0523, s1.acc: 95.9861, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0853, s2.loss_cls: 0.0275, s2.acc: 95.7390, s2.loss_bbox: 0.0541, s2.loss_mask: 0.0405, loss: 0.8729 2022-09-15 20:00:47,146 - mmdet - INFO - Epoch [28][2350/7330] lr: 1.000e-05, eta: 21:47:10, time: 1.218, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1377, s0.loss_cls: 0.1104, s0.acc: 95.8459, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1801, s1.loss_cls: 0.0516, s1.acc: 96.1615, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0853, s2.loss_cls: 0.0272, s2.acc: 95.8191, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0405, loss: 0.8678 2022-09-15 20:01:47,220 - mmdet - INFO - Epoch [28][2400/7330] lr: 1.000e-05, eta: 21:46:05, time: 1.202, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1439, s0.loss_cls: 0.1093, s0.acc: 95.8730, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1725, s1.loss_cls: 0.0513, s1.acc: 96.1361, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0814, s2.loss_cls: 0.0263, s2.acc: 95.9346, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0389, loss: 0.8493 2022-09-15 20:02:48,401 - mmdet - INFO - Epoch [28][2450/7330] lr: 1.000e-05, eta: 21:45:02, time: 1.224, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1500, s0.loss_cls: 0.1067, s0.acc: 96.0291, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1730, s1.loss_cls: 0.0498, s1.acc: 96.3443, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0824, s2.loss_cls: 0.0260, s2.acc: 96.0583, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0390, loss: 0.8488 2022-09-15 20:03:48,829 - mmdet - INFO - Epoch [28][2500/7330] lr: 1.000e-05, eta: 21:43:57, time: 1.208, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1402, s0.loss_cls: 0.1052, s0.acc: 96.0527, s0.loss_bbox: 0.0620, s0.loss_mask: 0.1731, s1.loss_cls: 0.0490, s1.acc: 96.3075, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0820, s2.loss_cls: 0.0259, s2.acc: 95.9778, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0390, loss: 0.8402 2022-09-15 20:04:49,744 - mmdet - INFO - Epoch [28][2550/7330] lr: 1.000e-05, eta: 21:42:54, time: 1.218, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1417, s0.loss_cls: 0.1123, s0.acc: 95.7483, s0.loss_bbox: 0.0665, s0.loss_mask: 0.1765, s1.loss_cls: 0.0532, s1.acc: 96.0225, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0837, s2.loss_cls: 0.0273, s2.acc: 95.9294, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0397, loss: 0.8689 2022-09-15 20:05:50,357 - mmdet - INFO - Epoch [28][2600/7330] lr: 1.000e-05, eta: 21:41:49, time: 1.212, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1423, s0.loss_cls: 0.1107, s0.acc: 95.9724, s0.loss_bbox: 0.0651, s0.loss_mask: 0.1789, s1.loss_cls: 0.0515, s1.acc: 96.2918, s1.loss_bbox: 0.0758, s1.loss_mask: 0.0845, s2.loss_cls: 0.0266, s2.acc: 96.0308, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0399, loss: 0.8655 2022-09-15 20:06:50,424 - mmdet - INFO - Epoch [28][2650/7330] lr: 1.000e-05, eta: 21:40:44, time: 1.201, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1451, s0.loss_cls: 0.1005, s0.acc: 96.2419, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1693, s1.loss_cls: 0.0467, s1.acc: 96.5222, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0803, s2.loss_cls: 0.0244, s2.acc: 96.2878, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0381, loss: 0.8192 2022-09-15 20:07:51,080 - mmdet - INFO - Epoch [28][2700/7330] lr: 1.000e-05, eta: 21:39:40, time: 1.213, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1362, s0.loss_cls: 0.1052, s0.acc: 96.0413, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1707, s1.loss_cls: 0.0492, s1.acc: 96.3463, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0815, s2.loss_cls: 0.0256, s2.acc: 96.1070, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0390, loss: 0.8301 2022-09-15 20:08:52,916 - mmdet - INFO - Epoch [28][2750/7330] lr: 1.000e-05, eta: 21:38:38, time: 1.237, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1436, s0.loss_cls: 0.1046, s0.acc: 96.0886, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1707, s1.loss_cls: 0.0491, s1.acc: 96.3401, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0808, s2.loss_cls: 0.0253, s2.acc: 96.1274, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0386, loss: 0.8257 2022-09-15 20:09:53,203 - mmdet - INFO - Epoch [28][2800/7330] lr: 1.000e-05, eta: 21:37:33, time: 1.206, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1356, s0.loss_cls: 0.1026, s0.acc: 96.0742, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1673, s1.loss_cls: 0.0482, s1.acc: 96.3813, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0800, s2.loss_cls: 0.0250, s2.acc: 96.2280, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0381, loss: 0.8097 2022-09-15 20:10:55,010 - mmdet - INFO - Epoch [28][2850/7330] lr: 1.000e-05, eta: 21:36:32, time: 1.236, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1501, s0.loss_cls: 0.1071, s0.acc: 96.0125, s0.loss_bbox: 0.0620, s0.loss_mask: 0.1757, s1.loss_cls: 0.0498, s1.acc: 96.2935, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0834, s2.loss_cls: 0.0260, s2.acc: 95.9813, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0395, loss: 0.8526 2022-09-15 20:11:56,274 - mmdet - INFO - Epoch [28][2900/7330] lr: 1.000e-05, eta: 21:35:30, time: 1.225, data_time: 0.031, memory: 64752, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0238, loss_semantic_seg: 0.1499, s0.loss_cls: 0.1080, s0.acc: 95.9207, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1750, s1.loss_cls: 0.0509, s1.acc: 96.1931, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0834, s2.loss_cls: 0.0261, s2.acc: 96.0252, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0396, loss: 0.8614 2022-09-15 20:12:57,056 - mmdet - INFO - Epoch [28][2950/7330] lr: 1.000e-05, eta: 21:34:26, time: 1.215, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1449, s0.loss_cls: 0.1081, s0.acc: 95.8713, s0.loss_bbox: 0.0648, s0.loss_mask: 0.1798, s1.loss_cls: 0.0504, s1.acc: 96.2206, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0859, s2.loss_cls: 0.0262, s2.acc: 96.0112, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0410, loss: 0.8696 2022-09-15 20:13:57,898 - mmdet - INFO - Epoch [28][3000/7330] lr: 1.000e-05, eta: 21:33:22, time: 1.218, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1441, s0.loss_cls: 0.1051, s0.acc: 96.0364, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1690, s1.loss_cls: 0.0491, s1.acc: 96.3095, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0807, s2.loss_cls: 0.0257, s2.acc: 96.0318, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0386, loss: 0.8361 2022-09-15 20:14:58,040 - mmdet - INFO - Epoch [28][3050/7330] lr: 1.000e-05, eta: 21:32:17, time: 1.202, data_time: 0.015, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1438, s0.loss_cls: 0.1012, s0.acc: 96.2244, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1730, s1.loss_cls: 0.0468, s1.acc: 96.4770, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0826, s2.loss_cls: 0.0243, s2.acc: 96.3264, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0392, loss: 0.8272 2022-09-15 20:15:59,150 - mmdet - INFO - Epoch [28][3100/7330] lr: 1.000e-05, eta: 21:31:14, time: 1.223, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1435, s0.loss_cls: 0.1005, s0.acc: 96.1836, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1695, s1.loss_cls: 0.0470, s1.acc: 96.4965, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0812, s2.loss_cls: 0.0246, s2.acc: 96.2502, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0389, loss: 0.8204 2022-09-15 20:17:00,317 - mmdet - INFO - Epoch [28][3150/7330] lr: 1.000e-05, eta: 21:30:11, time: 1.223, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1434, s0.loss_cls: 0.1036, s0.acc: 96.0549, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1697, s1.loss_cls: 0.0487, s1.acc: 96.3047, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0802, s2.loss_cls: 0.0255, s2.acc: 96.0346, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0382, loss: 0.8332 2022-09-15 20:18:01,438 - mmdet - INFO - Epoch [28][3200/7330] lr: 1.000e-05, eta: 21:29:09, time: 1.222, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1443, s0.loss_cls: 0.1045, s0.acc: 96.1138, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1790, s1.loss_cls: 0.0486, s1.acc: 96.3469, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0854, s2.loss_cls: 0.0251, s2.acc: 96.1239, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0407, loss: 0.8488 2022-09-15 20:19:02,038 - mmdet - INFO - Epoch [28][3250/7330] lr: 1.000e-05, eta: 21:28:04, time: 1.212, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1441, s0.loss_cls: 0.1118, s0.acc: 95.8628, s0.loss_bbox: 0.0634, s0.loss_mask: 0.1750, s1.loss_cls: 0.0521, s1.acc: 96.1620, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0837, s2.loss_cls: 0.0270, s2.acc: 96.0074, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0397, loss: 0.8668 2022-09-15 20:20:02,513 - mmdet - INFO - Epoch [28][3300/7330] lr: 1.000e-05, eta: 21:27:00, time: 1.210, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1405, s0.loss_cls: 0.1041, s0.acc: 96.0652, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1697, s1.loss_cls: 0.0493, s1.acc: 96.3121, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0810, s2.loss_cls: 0.0255, s2.acc: 96.1677, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0386, loss: 0.8266 2022-09-15 20:21:02,763 - mmdet - INFO - Epoch [28][3350/7330] lr: 1.000e-05, eta: 21:25:55, time: 1.205, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1432, s0.loss_cls: 0.1100, s0.acc: 95.9243, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1721, s1.loss_cls: 0.0510, s1.acc: 96.2202, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0813, s2.loss_cls: 0.0266, s2.acc: 95.9186, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0386, loss: 0.8510 2022-09-15 20:22:03,983 - mmdet - INFO - Epoch [28][3400/7330] lr: 1.000e-05, eta: 21:24:52, time: 1.224, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1564, s0.loss_cls: 0.1062, s0.acc: 95.9961, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1754, s1.loss_cls: 0.0497, s1.acc: 96.2641, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0837, s2.loss_cls: 0.0256, s2.acc: 96.0644, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0401, loss: 0.8586 2022-09-15 20:23:05,467 - mmdet - INFO - Epoch [28][3450/7330] lr: 1.000e-05, eta: 21:23:50, time: 1.229, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1430, s0.loss_cls: 0.1068, s0.acc: 96.0229, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1754, s1.loss_cls: 0.0501, s1.acc: 96.2748, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0841, s2.loss_cls: 0.0257, s2.acc: 96.1096, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0402, loss: 0.8489 2022-09-15 20:24:06,868 - mmdet - INFO - Epoch [28][3500/7330] lr: 1.000e-05, eta: 21:22:48, time: 1.229, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1059, s0.acc: 96.1094, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1712, s1.loss_cls: 0.0480, s1.acc: 96.4553, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0812, s2.loss_cls: 0.0250, s2.acc: 96.2629, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0388, loss: 0.8253 2022-09-15 20:25:07,541 - mmdet - INFO - Epoch [28][3550/7330] lr: 1.000e-05, eta: 21:21:45, time: 1.213, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1445, s0.loss_cls: 0.1089, s0.acc: 95.8286, s0.loss_bbox: 0.0647, s0.loss_mask: 0.1739, s1.loss_cls: 0.0522, s1.acc: 95.9995, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0822, s2.loss_cls: 0.0273, s2.acc: 95.7712, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0391, loss: 0.8583 2022-09-15 20:26:09,166 - mmdet - INFO - Epoch [28][3600/7330] lr: 1.000e-05, eta: 21:20:43, time: 1.232, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1472, s0.loss_cls: 0.1135, s0.acc: 95.7173, s0.loss_bbox: 0.0686, s0.loss_mask: 0.1819, s1.loss_cls: 0.0537, s1.acc: 95.9357, s1.loss_bbox: 0.0800, s1.loss_mask: 0.0859, s2.loss_cls: 0.0277, s2.acc: 95.7708, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0405, loss: 0.8926 2022-09-15 20:27:10,319 - mmdet - INFO - Epoch [28][3650/7330] lr: 1.000e-05, eta: 21:19:40, time: 1.222, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1453, s0.loss_cls: 0.1109, s0.acc: 95.8721, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1763, s1.loss_cls: 0.0519, s1.acc: 96.1482, s1.loss_bbox: 0.0762, s1.loss_mask: 0.0839, s2.loss_cls: 0.0270, s2.acc: 95.9533, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0398, loss: 0.8650 2022-09-15 20:28:11,215 - mmdet - INFO - Epoch [28][3700/7330] lr: 1.000e-05, eta: 21:18:37, time: 1.218, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1415, s0.loss_cls: 0.1164, s0.acc: 95.7563, s0.loss_bbox: 0.0648, s0.loss_mask: 0.1768, s1.loss_cls: 0.0539, s1.acc: 96.0651, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0840, s2.loss_cls: 0.0279, s2.acc: 95.8404, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0397, loss: 0.8718 2022-09-15 20:29:12,175 - mmdet - INFO - Epoch [28][3750/7330] lr: 1.000e-05, eta: 21:17:34, time: 1.220, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1413, s0.loss_cls: 0.1074, s0.acc: 95.8918, s0.loss_bbox: 0.0652, s0.loss_mask: 0.1712, s1.loss_cls: 0.0504, s1.acc: 96.1745, s1.loss_bbox: 0.0759, s1.loss_mask: 0.0814, s2.loss_cls: 0.0261, s2.acc: 95.9234, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0385, loss: 0.8460 2022-09-15 20:30:12,531 - mmdet - INFO - Epoch [28][3800/7330] lr: 1.000e-05, eta: 21:16:29, time: 1.207, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1372, s0.loss_cls: 0.0970, s0.acc: 96.3508, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1718, s1.loss_cls: 0.0456, s1.acc: 96.5332, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0815, s2.loss_cls: 0.0239, s2.acc: 96.3759, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0387, loss: 0.8031 2022-09-15 20:31:12,724 - mmdet - INFO - Epoch [28][3850/7330] lr: 1.000e-05, eta: 21:15:24, time: 1.203, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1400, s0.loss_cls: 0.1035, s0.acc: 96.1147, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1762, s1.loss_cls: 0.0486, s1.acc: 96.3730, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0836, s2.loss_cls: 0.0252, s2.acc: 96.1673, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0398, loss: 0.8321 2022-09-15 20:32:14,058 - mmdet - INFO - Epoch [28][3900/7330] lr: 1.000e-05, eta: 21:14:22, time: 1.228, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1468, s0.loss_cls: 0.1083, s0.acc: 95.9246, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1744, s1.loss_cls: 0.0512, s1.acc: 96.1692, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0827, s2.loss_cls: 0.0265, s2.acc: 95.9853, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0394, loss: 0.8545 2022-09-15 20:33:15,056 - mmdet - INFO - Epoch [28][3950/7330] lr: 1.000e-05, eta: 21:13:19, time: 1.220, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1407, s0.loss_cls: 0.1036, s0.acc: 96.0745, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1741, s1.loss_cls: 0.0483, s1.acc: 96.3272, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0828, s2.loss_cls: 0.0255, s2.acc: 96.0731, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0394, loss: 0.8374 2022-09-15 20:34:15,888 - mmdet - INFO - Epoch [28][4000/7330] lr: 1.000e-05, eta: 21:12:16, time: 1.217, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1424, s0.loss_cls: 0.1097, s0.acc: 95.9114, s0.loss_bbox: 0.0629, s0.loss_mask: 0.1762, s1.loss_cls: 0.0511, s1.acc: 96.2248, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0831, s2.loss_cls: 0.0267, s2.acc: 95.9959, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0393, loss: 0.8545 2022-09-15 20:35:17,406 - mmdet - INFO - Epoch [28][4050/7330] lr: 1.000e-05, eta: 21:11:14, time: 1.230, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1089, s0.acc: 95.8005, s0.loss_bbox: 0.0651, s0.loss_mask: 0.1765, s1.loss_cls: 0.0516, s1.acc: 96.0940, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0837, s2.loss_cls: 0.0270, s2.acc: 95.8038, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0396, loss: 0.8620 2022-09-15 20:36:19,070 - mmdet - INFO - Epoch [28][4100/7330] lr: 1.000e-05, eta: 21:10:12, time: 1.234, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1416, s0.loss_cls: 0.1020, s0.acc: 96.1028, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1732, s1.loss_cls: 0.0478, s1.acc: 96.3831, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0830, s2.loss_cls: 0.0252, s2.acc: 96.1650, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0393, loss: 0.8253 2022-09-15 20:37:19,870 - mmdet - INFO - Epoch [28][4150/7330] lr: 1.000e-05, eta: 21:09:09, time: 1.215, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1483, s0.loss_cls: 0.1026, s0.acc: 96.1692, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1720, s1.loss_cls: 0.0480, s1.acc: 96.4926, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0825, s2.loss_cls: 0.0247, s2.acc: 96.2917, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0389, loss: 0.8349 2022-09-15 20:38:20,267 - mmdet - INFO - Epoch [28][4200/7330] lr: 1.000e-05, eta: 21:08:05, time: 1.209, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1432, s0.loss_cls: 0.1058, s0.acc: 96.0215, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1755, s1.loss_cls: 0.0488, s1.acc: 96.3076, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0835, s2.loss_cls: 0.0251, s2.acc: 96.1737, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0397, loss: 0.8472 2022-09-15 20:39:20,924 - mmdet - INFO - Epoch [28][4250/7330] lr: 1.000e-05, eta: 21:07:01, time: 1.213, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1045, s0.acc: 96.0886, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1724, s1.loss_cls: 0.0494, s1.acc: 96.3265, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0819, s2.loss_cls: 0.0257, s2.acc: 96.1311, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0389, loss: 0.8307 2022-09-15 20:40:21,199 - mmdet - INFO - Epoch [28][4300/7330] lr: 1.000e-05, eta: 21:05:56, time: 1.206, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1400, s0.loss_cls: 0.1054, s0.acc: 95.9885, s0.loss_bbox: 0.0629, s0.loss_mask: 0.1738, s1.loss_cls: 0.0496, s1.acc: 96.1957, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0822, s2.loss_cls: 0.0260, s2.acc: 95.9291, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0389, loss: 0.8442 2022-09-15 20:41:21,784 - mmdet - INFO - Epoch [28][4350/7330] lr: 1.000e-05, eta: 21:04:52, time: 1.212, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1451, s0.loss_cls: 0.1056, s0.acc: 96.0811, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1726, s1.loss_cls: 0.0490, s1.acc: 96.3159, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0819, s2.loss_cls: 0.0258, s2.acc: 96.1040, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0392, loss: 0.8383 2022-09-15 20:42:23,329 - mmdet - INFO - Epoch [28][4400/7330] lr: 1.000e-05, eta: 21:03:51, time: 1.231, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1432, s0.loss_cls: 0.1083, s0.acc: 95.9497, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1737, s1.loss_cls: 0.0511, s1.acc: 96.1525, s1.loss_bbox: 0.0739, s1.loss_mask: 0.0825, s2.loss_cls: 0.0263, s2.acc: 96.0462, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0391, loss: 0.8455 2022-09-15 20:43:24,467 - mmdet - INFO - Epoch [28][4450/7330] lr: 1.000e-05, eta: 21:02:48, time: 1.222, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1425, s0.loss_cls: 0.1094, s0.acc: 95.9404, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1723, s1.loss_cls: 0.0511, s1.acc: 96.2022, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0814, s2.loss_cls: 0.0268, s2.acc: 95.9376, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0389, loss: 0.8414 2022-09-15 20:44:24,770 - mmdet - INFO - Epoch [28][4500/7330] lr: 1.000e-05, eta: 21:01:43, time: 1.207, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1435, s0.loss_cls: 0.1141, s0.acc: 95.8604, s0.loss_bbox: 0.0669, s0.loss_mask: 0.1772, s1.loss_cls: 0.0533, s1.acc: 96.1533, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0843, s2.loss_cls: 0.0275, s2.acc: 95.9233, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0400, loss: 0.8761 2022-09-15 20:45:26,251 - mmdet - INFO - Epoch [28][4550/7330] lr: 1.000e-05, eta: 21:00:42, time: 1.229, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1403, s0.loss_cls: 0.1062, s0.acc: 95.9673, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1758, s1.loss_cls: 0.0497, s1.acc: 96.2645, s1.loss_bbox: 0.0763, s1.loss_mask: 0.0840, s2.loss_cls: 0.0259, s2.acc: 96.0304, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0399, loss: 0.8491 2022-09-15 20:46:28,211 - mmdet - INFO - Epoch [28][4600/7330] lr: 1.000e-05, eta: 20:59:41, time: 1.239, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0241, loss_semantic_seg: 0.1424, s0.loss_cls: 0.1121, s0.acc: 95.7886, s0.loss_bbox: 0.0667, s0.loss_mask: 0.1742, s1.loss_cls: 0.0519, s1.acc: 96.1091, s1.loss_bbox: 0.0795, s1.loss_mask: 0.0834, s2.loss_cls: 0.0265, s2.acc: 95.9854, s2.loss_bbox: 0.0545, s2.loss_mask: 0.0395, loss: 0.8709 2022-09-15 20:47:28,843 - mmdet - INFO - Epoch [28][4650/7330] lr: 1.000e-05, eta: 20:58:37, time: 1.213, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1417, s0.loss_cls: 0.1058, s0.acc: 95.9834, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1738, s1.loss_cls: 0.0482, s1.acc: 96.3263, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0829, s2.loss_cls: 0.0252, s2.acc: 96.1413, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0396, loss: 0.8345 2022-09-15 20:48:28,212 - mmdet - INFO - Epoch [28][4700/7330] lr: 1.000e-05, eta: 20:57:30, time: 1.187, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1449, s0.loss_cls: 0.1041, s0.acc: 96.1077, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1758, s1.loss_cls: 0.0483, s1.acc: 96.4038, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0834, s2.loss_cls: 0.0248, s2.acc: 96.2337, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0396, loss: 0.8421 2022-09-15 20:49:28,607 - mmdet - INFO - Epoch [28][4750/7330] lr: 1.000e-05, eta: 20:56:26, time: 1.208, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1415, s0.loss_cls: 0.1083, s0.acc: 95.9263, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1771, s1.loss_cls: 0.0510, s1.acc: 96.1031, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0847, s2.loss_cls: 0.0270, s2.acc: 95.8666, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0404, loss: 0.8571 2022-09-15 20:50:30,708 - mmdet - INFO - Epoch [28][4800/7330] lr: 1.000e-05, eta: 20:55:26, time: 1.242, data_time: 0.036, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1454, s0.loss_cls: 0.1103, s0.acc: 95.8752, s0.loss_bbox: 0.0635, s0.loss_mask: 0.1779, s1.loss_cls: 0.0521, s1.acc: 96.0468, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0847, s2.loss_cls: 0.0273, s2.acc: 95.7892, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0401, loss: 0.8681 2022-09-15 20:51:31,839 - mmdet - INFO - Epoch [28][4850/7330] lr: 1.000e-05, eta: 20:54:23, time: 1.222, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1425, s0.loss_cls: 0.1061, s0.acc: 96.0559, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1718, s1.loss_cls: 0.0502, s1.acc: 96.3040, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0821, s2.loss_cls: 0.0264, s2.acc: 96.0594, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0392, loss: 0.8376 2022-09-15 20:52:32,949 - mmdet - INFO - Epoch [28][4900/7330] lr: 1.000e-05, eta: 20:53:21, time: 1.223, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1479, s0.loss_cls: 0.1005, s0.acc: 96.2559, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1677, s1.loss_cls: 0.0462, s1.acc: 96.5323, s1.loss_bbox: 0.0687, s1.loss_mask: 0.0805, s2.loss_cls: 0.0240, s2.acc: 96.3393, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0384, loss: 0.8120 2022-09-15 20:53:33,821 - mmdet - INFO - Epoch [28][4950/7330] lr: 1.000e-05, eta: 20:52:18, time: 1.217, data_time: 0.030, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1440, s0.loss_cls: 0.1078, s0.acc: 95.9036, s0.loss_bbox: 0.0637, s0.loss_mask: 0.1740, s1.loss_cls: 0.0498, s1.acc: 96.2460, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0829, s2.loss_cls: 0.0259, s2.acc: 96.0658, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0396, loss: 0.8537 2022-09-15 20:54:35,903 - mmdet - INFO - Epoch [28][5000/7330] lr: 1.000e-05, eta: 20:51:17, time: 1.241, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1484, s0.loss_cls: 0.1126, s0.acc: 95.7954, s0.loss_bbox: 0.0658, s0.loss_mask: 0.1803, s1.loss_cls: 0.0538, s1.acc: 96.0453, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0858, s2.loss_cls: 0.0279, s2.acc: 95.7809, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0407, loss: 0.8879 2022-09-15 20:55:37,856 - mmdet - INFO - Epoch [28][5050/7330] lr: 1.000e-05, eta: 20:50:16, time: 1.239, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1372, s0.loss_cls: 0.1079, s0.acc: 95.9309, s0.loss_bbox: 0.0630, s0.loss_mask: 0.1718, s1.loss_cls: 0.0493, s1.acc: 96.2883, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0817, s2.loss_cls: 0.0255, s2.acc: 96.0867, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0390, loss: 0.8373 2022-09-15 20:56:39,001 - mmdet - INFO - Epoch [28][5100/7330] lr: 1.000e-05, eta: 20:49:14, time: 1.223, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1435, s0.loss_cls: 0.1116, s0.acc: 95.7646, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1779, s1.loss_cls: 0.0533, s1.acc: 95.9933, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0848, s2.loss_cls: 0.0280, s2.acc: 95.7467, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0400, loss: 0.8712 2022-09-15 20:57:40,777 - mmdet - INFO - Epoch [28][5150/7330] lr: 1.000e-05, eta: 20:48:13, time: 1.235, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1428, s0.loss_cls: 0.1033, s0.acc: 96.0869, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1749, s1.loss_cls: 0.0480, s1.acc: 96.3915, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0836, s2.loss_cls: 0.0249, s2.acc: 96.1848, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0401, loss: 0.8349 2022-09-15 20:58:40,875 - mmdet - INFO - Epoch [28][5200/7330] lr: 1.000e-05, eta: 20:47:08, time: 1.202, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1452, s0.loss_cls: 0.1056, s0.acc: 96.0208, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1732, s1.loss_cls: 0.0496, s1.acc: 96.2663, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0822, s2.loss_cls: 0.0261, s2.acc: 96.0649, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0392, loss: 0.8467 2022-09-15 20:59:41,621 - mmdet - INFO - Epoch [28][5250/7330] lr: 1.000e-05, eta: 20:46:04, time: 1.214, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1431, s0.loss_cls: 0.1087, s0.acc: 95.8994, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1696, s1.loss_cls: 0.0520, s1.acc: 96.0960, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0810, s2.loss_cls: 0.0269, s2.acc: 95.9464, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0385, loss: 0.8423 2022-09-15 21:00:41,746 - mmdet - INFO - Epoch [28][5300/7330] lr: 1.000e-05, eta: 20:45:00, time: 1.204, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1492, s0.loss_cls: 0.1058, s0.acc: 95.9822, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1751, s1.loss_cls: 0.0496, s1.acc: 96.2249, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0836, s2.loss_cls: 0.0259, s2.acc: 96.0858, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0396, loss: 0.8456 2022-09-15 21:01:43,235 - mmdet - INFO - Epoch [28][5350/7330] lr: 1.000e-05, eta: 20:43:58, time: 1.229, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1476, s0.loss_cls: 0.1071, s0.acc: 95.9207, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1802, s1.loss_cls: 0.0494, s1.acc: 96.2457, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0852, s2.loss_cls: 0.0259, s2.acc: 95.9795, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0403, loss: 0.8614 2022-09-15 21:02:44,237 - mmdet - INFO - Epoch [28][5400/7330] lr: 1.000e-05, eta: 20:42:55, time: 1.220, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1430, s0.loss_cls: 0.1115, s0.acc: 95.8967, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1741, s1.loss_cls: 0.0531, s1.acc: 96.0534, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0827, s2.loss_cls: 0.0271, s2.acc: 95.8470, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0393, loss: 0.8573 2022-09-15 21:03:45,409 - mmdet - INFO - Epoch [28][5450/7330] lr: 1.000e-05, eta: 20:41:53, time: 1.223, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1436, s0.loss_cls: 0.1033, s0.acc: 96.0964, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1756, s1.loss_cls: 0.0486, s1.acc: 96.3454, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0832, s2.loss_cls: 0.0252, s2.acc: 96.0842, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0397, loss: 0.8420 2022-09-15 21:04:47,092 - mmdet - INFO - Epoch [28][5500/7330] lr: 1.000e-05, eta: 20:40:52, time: 1.235, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1480, s0.loss_cls: 0.1077, s0.acc: 95.9497, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1695, s1.loss_cls: 0.0507, s1.acc: 96.2649, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0809, s2.loss_cls: 0.0258, s2.acc: 96.1448, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0386, loss: 0.8411 2022-09-15 21:05:48,731 - mmdet - INFO - Epoch [28][5550/7330] lr: 1.000e-05, eta: 20:39:50, time: 1.233, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1411, s0.loss_cls: 0.1092, s0.acc: 95.9336, s0.loss_bbox: 0.0651, s0.loss_mask: 0.1719, s1.loss_cls: 0.0518, s1.acc: 96.1471, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0816, s2.loss_cls: 0.0265, s2.acc: 95.9790, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0385, loss: 0.8508 2022-09-15 21:06:50,051 - mmdet - INFO - Epoch [28][5600/7330] lr: 1.000e-05, eta: 20:38:48, time: 1.226, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1461, s0.loss_cls: 0.1092, s0.acc: 95.7939, s0.loss_bbox: 0.0658, s0.loss_mask: 0.1775, s1.loss_cls: 0.0514, s1.acc: 96.0772, s1.loss_bbox: 0.0802, s1.loss_mask: 0.0845, s2.loss_cls: 0.0271, s2.acc: 95.7428, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0401, loss: 0.8723 2022-09-15 21:07:50,224 - mmdet - INFO - Epoch [28][5650/7330] lr: 1.000e-05, eta: 20:37:43, time: 1.203, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1396, s0.loss_cls: 0.1057, s0.acc: 96.0046, s0.loss_bbox: 0.0620, s0.loss_mask: 0.1704, s1.loss_cls: 0.0491, s1.acc: 96.3077, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0814, s2.loss_cls: 0.0254, s2.acc: 96.1199, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0388, loss: 0.8341 2022-09-15 21:08:50,859 - mmdet - INFO - Epoch [28][5700/7330] lr: 1.000e-05, eta: 20:36:40, time: 1.213, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1369, s0.loss_cls: 0.1106, s0.acc: 95.8472, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1718, s1.loss_cls: 0.0519, s1.acc: 96.0783, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0816, s2.loss_cls: 0.0270, s2.acc: 95.8890, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0387, loss: 0.8457 2022-09-15 21:09:52,232 - mmdet - INFO - Epoch [28][5750/7330] lr: 1.000e-05, eta: 20:35:38, time: 1.227, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1394, s0.loss_cls: 0.1078, s0.acc: 95.9324, s0.loss_bbox: 0.0626, s0.loss_mask: 0.1732, s1.loss_cls: 0.0506, s1.acc: 96.1610, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0818, s2.loss_cls: 0.0264, s2.acc: 95.9657, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0389, loss: 0.8432 2022-09-15 21:10:53,270 - mmdet - INFO - Epoch [28][5800/7330] lr: 1.000e-05, eta: 20:34:35, time: 1.221, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1404, s0.loss_cls: 0.1006, s0.acc: 96.1726, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1724, s1.loss_cls: 0.0471, s1.acc: 96.4299, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0824, s2.loss_cls: 0.0245, s2.acc: 96.1790, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0393, loss: 0.8251 2022-09-15 21:11:54,795 - mmdet - INFO - Epoch [28][5850/7330] lr: 1.000e-05, eta: 20:33:34, time: 1.230, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1379, s0.loss_cls: 0.1023, s0.acc: 96.1450, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1703, s1.loss_cls: 0.0476, s1.acc: 96.4733, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0814, s2.loss_cls: 0.0253, s2.acc: 96.1028, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0390, loss: 0.8183 2022-09-15 21:12:54,490 - mmdet - INFO - Epoch [28][5900/7330] lr: 1.000e-05, eta: 20:32:28, time: 1.194, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1466, s0.loss_cls: 0.1114, s0.acc: 95.8601, s0.loss_bbox: 0.0636, s0.loss_mask: 0.1733, s1.loss_cls: 0.0519, s1.acc: 96.1601, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0829, s2.loss_cls: 0.0267, s2.acc: 95.9179, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0397, loss: 0.8600 2022-09-15 21:13:56,563 - mmdet - INFO - Epoch [28][5950/7330] lr: 1.000e-05, eta: 20:31:28, time: 1.241, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1064, s0.acc: 95.9241, s0.loss_bbox: 0.0629, s0.loss_mask: 0.1752, s1.loss_cls: 0.0503, s1.acc: 96.2135, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0830, s2.loss_cls: 0.0262, s2.acc: 96.0005, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0396, loss: 0.8403 2022-09-15 21:14:57,775 - mmdet - INFO - Epoch [28][6000/7330] lr: 1.000e-05, eta: 20:30:25, time: 1.224, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1399, s0.loss_cls: 0.1030, s0.acc: 96.0771, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1695, s1.loss_cls: 0.0483, s1.acc: 96.3196, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0799, s2.loss_cls: 0.0253, s2.acc: 96.0689, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0382, loss: 0.8191 2022-09-15 21:15:59,227 - mmdet - INFO - Epoch [28][6050/7330] lr: 1.000e-05, eta: 20:29:24, time: 1.230, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1041, s0.acc: 96.0737, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1755, s1.loss_cls: 0.0486, s1.acc: 96.3190, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0834, s2.loss_cls: 0.0249, s2.acc: 96.2006, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0395, loss: 0.8353 2022-09-15 21:17:01,043 - mmdet - INFO - Epoch [28][6100/7330] lr: 1.000e-05, eta: 20:28:23, time: 1.236, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1463, s0.loss_cls: 0.1082, s0.acc: 95.9460, s0.loss_bbox: 0.0637, s0.loss_mask: 0.1747, s1.loss_cls: 0.0504, s1.acc: 96.1755, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0831, s2.loss_cls: 0.0269, s2.acc: 95.8408, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0390, loss: 0.8593 2022-09-15 21:18:01,615 - mmdet - INFO - Epoch [28][6150/7330] lr: 1.000e-05, eta: 20:27:19, time: 1.211, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1472, s0.loss_cls: 0.1099, s0.acc: 95.8337, s0.loss_bbox: 0.0637, s0.loss_mask: 0.1762, s1.loss_cls: 0.0516, s1.acc: 96.1325, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0833, s2.loss_cls: 0.0268, s2.acc: 95.9150, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0397, loss: 0.8646 2022-09-15 21:19:02,840 - mmdet - INFO - Epoch [28][6200/7330] lr: 1.000e-05, eta: 20:26:17, time: 1.225, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1449, s0.loss_cls: 0.1030, s0.acc: 96.0952, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1693, s1.loss_cls: 0.0488, s1.acc: 96.3282, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0808, s2.loss_cls: 0.0255, s2.acc: 96.0942, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0385, loss: 0.8267 2022-09-15 21:20:03,987 - mmdet - INFO - Epoch [28][6250/7330] lr: 1.000e-05, eta: 20:25:14, time: 1.223, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1424, s0.loss_cls: 0.1088, s0.acc: 95.8826, s0.loss_bbox: 0.0641, s0.loss_mask: 0.1766, s1.loss_cls: 0.0501, s1.acc: 96.2187, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0845, s2.loss_cls: 0.0260, s2.acc: 95.9994, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0402, loss: 0.8622 2022-09-15 21:21:04,213 - mmdet - INFO - Epoch [28][6300/7330] lr: 1.000e-05, eta: 20:24:10, time: 1.204, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1470, s0.loss_cls: 0.1067, s0.acc: 95.9902, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1745, s1.loss_cls: 0.0494, s1.acc: 96.2547, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0828, s2.loss_cls: 0.0259, s2.acc: 96.0553, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0396, loss: 0.8496 2022-09-15 21:22:05,641 - mmdet - INFO - Epoch [28][6350/7330] lr: 1.000e-05, eta: 20:23:08, time: 1.229, data_time: 0.030, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1446, s0.loss_cls: 0.1096, s0.acc: 95.8916, s0.loss_bbox: 0.0645, s0.loss_mask: 0.1728, s1.loss_cls: 0.0514, s1.acc: 96.2161, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0817, s2.loss_cls: 0.0264, s2.acc: 96.0544, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0387, loss: 0.8579 2022-09-15 21:23:06,927 - mmdet - INFO - Epoch [28][6400/7330] lr: 1.000e-05, eta: 20:22:06, time: 1.226, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1490, s0.loss_cls: 0.1156, s0.acc: 95.6877, s0.loss_bbox: 0.0680, s0.loss_mask: 0.1828, s1.loss_cls: 0.0549, s1.acc: 95.9013, s1.loss_bbox: 0.0805, s1.loss_mask: 0.0870, s2.loss_cls: 0.0283, s2.acc: 95.6429, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0410, loss: 0.8972 2022-09-15 21:24:08,087 - mmdet - INFO - Epoch [28][6450/7330] lr: 1.000e-05, eta: 20:21:04, time: 1.223, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1391, s0.loss_cls: 0.1061, s0.acc: 96.0300, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1753, s1.loss_cls: 0.0492, s1.acc: 96.3068, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0835, s2.loss_cls: 0.0259, s2.acc: 96.0519, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0395, loss: 0.8410 2022-09-15 21:25:09,540 - mmdet - INFO - Epoch [28][6500/7330] lr: 1.000e-05, eta: 20:20:02, time: 1.229, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1418, s0.loss_cls: 0.1107, s0.acc: 95.8616, s0.loss_bbox: 0.0631, s0.loss_mask: 0.1736, s1.loss_cls: 0.0518, s1.acc: 96.0783, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0832, s2.loss_cls: 0.0268, s2.acc: 95.8152, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0395, loss: 0.8547 2022-09-15 21:26:10,626 - mmdet - INFO - Epoch [28][6550/7330] lr: 1.000e-05, eta: 20:18:59, time: 1.221, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1481, s0.loss_cls: 0.1096, s0.acc: 95.8809, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1759, s1.loss_cls: 0.0508, s1.acc: 96.1576, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0842, s2.loss_cls: 0.0266, s2.acc: 95.8616, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0401, loss: 0.8650 2022-09-15 21:27:11,261 - mmdet - INFO - Epoch [28][6600/7330] lr: 1.000e-05, eta: 20:17:56, time: 1.213, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1423, s0.loss_cls: 0.1080, s0.acc: 96.0054, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1745, s1.loss_cls: 0.0500, s1.acc: 96.3239, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0835, s2.loss_cls: 0.0261, s2.acc: 96.0443, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0396, loss: 0.8463 2022-09-15 21:28:11,698 - mmdet - INFO - Epoch [28][6650/7330] lr: 1.000e-05, eta: 20:16:52, time: 1.209, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1431, s0.loss_cls: 0.1051, s0.acc: 96.0635, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1666, s1.loss_cls: 0.0497, s1.acc: 96.3389, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0794, s2.loss_cls: 0.0258, s2.acc: 96.1327, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0381, loss: 0.8233 2022-09-15 21:29:12,792 - mmdet - INFO - Epoch [28][6700/7330] lr: 1.000e-05, eta: 20:15:50, time: 1.222, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1405, s0.loss_cls: 0.1042, s0.acc: 96.0459, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1716, s1.loss_cls: 0.0486, s1.acc: 96.3690, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0815, s2.loss_cls: 0.0250, s2.acc: 96.1847, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0387, loss: 0.8306 2022-09-15 21:30:15,386 - mmdet - INFO - Epoch [28][6750/7330] lr: 1.000e-05, eta: 20:14:50, time: 1.252, data_time: 0.032, memory: 64752, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1415, s0.loss_cls: 0.1129, s0.acc: 95.7576, s0.loss_bbox: 0.0650, s0.loss_mask: 0.1737, s1.loss_cls: 0.0530, s1.acc: 96.0228, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0825, s2.loss_cls: 0.0276, s2.acc: 95.7929, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0387, loss: 0.8626 2022-09-15 21:31:16,906 - mmdet - INFO - Epoch [28][6800/7330] lr: 1.000e-05, eta: 20:13:49, time: 1.230, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1349, s0.loss_cls: 0.1044, s0.acc: 96.0801, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1724, s1.loss_cls: 0.0483, s1.acc: 96.3673, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0823, s2.loss_cls: 0.0254, s2.acc: 96.0902, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0391, loss: 0.8288 2022-09-15 21:32:17,160 - mmdet - INFO - Epoch [28][6850/7330] lr: 1.000e-05, eta: 20:12:45, time: 1.205, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1338, s0.loss_cls: 0.1017, s0.acc: 96.1252, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1684, s1.loss_cls: 0.0472, s1.acc: 96.4350, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0808, s2.loss_cls: 0.0246, s2.acc: 96.2809, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0384, loss: 0.8082 2022-09-15 21:33:17,470 - mmdet - INFO - Epoch [28][6900/7330] lr: 1.000e-05, eta: 20:11:41, time: 1.206, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1446, s0.loss_cls: 0.1090, s0.acc: 95.8589, s0.loss_bbox: 0.0645, s0.loss_mask: 0.1789, s1.loss_cls: 0.0512, s1.acc: 96.0974, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0853, s2.loss_cls: 0.0266, s2.acc: 95.8137, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0405, loss: 0.8680 2022-09-15 21:34:18,998 - mmdet - INFO - Epoch [28][6950/7330] lr: 1.000e-05, eta: 20:10:39, time: 1.231, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1505, s0.loss_cls: 0.1060, s0.acc: 96.0452, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1674, s1.loss_cls: 0.0491, s1.acc: 96.3334, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0795, s2.loss_cls: 0.0255, s2.acc: 96.1358, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0378, loss: 0.8347 2022-09-15 21:35:19,937 - mmdet - INFO - Epoch [28][7000/7330] lr: 1.000e-05, eta: 20:09:36, time: 1.219, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1468, s0.loss_cls: 0.1088, s0.acc: 95.8972, s0.loss_bbox: 0.0646, s0.loss_mask: 0.1776, s1.loss_cls: 0.0510, s1.acc: 96.1481, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0840, s2.loss_cls: 0.0266, s2.acc: 95.8289, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0397, loss: 0.8659 2022-09-15 21:36:20,876 - mmdet - INFO - Epoch [28][7050/7330] lr: 1.000e-05, eta: 20:08:33, time: 1.219, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1490, s0.loss_cls: 0.1140, s0.acc: 95.7319, s0.loss_bbox: 0.0666, s0.loss_mask: 0.1793, s1.loss_cls: 0.0536, s1.acc: 96.0116, s1.loss_bbox: 0.0788, s1.loss_mask: 0.0849, s2.loss_cls: 0.0277, s2.acc: 95.7516, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0404, loss: 0.8855 2022-09-15 21:37:22,215 - mmdet - INFO - Epoch [28][7100/7330] lr: 1.000e-05, eta: 20:07:32, time: 1.227, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1368, s0.loss_cls: 0.1009, s0.acc: 96.2212, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1691, s1.loss_cls: 0.0468, s1.acc: 96.5183, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0811, s2.loss_cls: 0.0247, s2.acc: 96.2686, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0384, loss: 0.8144 2022-09-15 21:38:22,972 - mmdet - INFO - Epoch [28][7150/7330] lr: 1.000e-05, eta: 20:06:28, time: 1.214, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1406, s0.loss_cls: 0.1060, s0.acc: 95.9915, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1710, s1.loss_cls: 0.0496, s1.acc: 96.2638, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0819, s2.loss_cls: 0.0257, s2.acc: 96.1165, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0390, loss: 0.8419 2022-09-15 21:39:24,012 - mmdet - INFO - Epoch [28][7200/7330] lr: 1.000e-05, eta: 20:05:26, time: 1.222, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1447, s0.loss_cls: 0.1033, s0.acc: 96.1821, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1707, s1.loss_cls: 0.0490, s1.acc: 96.3876, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0808, s2.loss_cls: 0.0258, s2.acc: 96.0655, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0385, loss: 0.8298 2022-09-15 21:40:25,255 - mmdet - INFO - Epoch [28][7250/7330] lr: 1.000e-05, eta: 20:04:24, time: 1.225, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1457, s0.loss_cls: 0.1084, s0.acc: 95.9058, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1734, s1.loss_cls: 0.0514, s1.acc: 96.0927, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0821, s2.loss_cls: 0.0263, s2.acc: 95.9930, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0391, loss: 0.8547 2022-09-15 21:41:25,221 - mmdet - INFO - Epoch [28][7300/7330] lr: 1.000e-05, eta: 20:03:19, time: 1.199, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1397, s0.loss_cls: 0.1062, s0.acc: 96.0159, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1734, s1.loss_cls: 0.0497, s1.acc: 96.2372, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0828, s2.loss_cls: 0.0258, s2.acc: 96.0115, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0395, loss: 0.8414 2022-09-15 21:42:11,958 - mmdet - INFO - Saving checkpoint at 28 epochs 2022-09-15 21:45:25,361 - mmdet - INFO - Evaluating bbox... 2022-09-15 21:46:10,233 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.583 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.769 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.642 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.440 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.615 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.718 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.746 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.746 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.746 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.618 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.781 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.867 2022-09-15 21:46:10,233 - mmdet - INFO - Evaluating segm... 2022-09-15 21:46:59,711 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.506 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.748 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.553 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.324 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.536 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.690 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.648 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.648 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.648 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.505 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.681 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.788 2022-09-15 21:47:00,642 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-15 21:47:00,643 - mmdet - INFO - Epoch(val) [28][313] bbox_mAP: 0.5830, bbox_mAP_50: 0.7690, bbox_mAP_75: 0.6420, bbox_mAP_s: 0.4400, bbox_mAP_m: 0.6150, bbox_mAP_l: 0.7180, bbox_mAP_copypaste: 0.583 0.769 0.642 0.440 0.615 0.718, segm_mAP: 0.5060, segm_mAP_50: 0.7480, segm_mAP_75: 0.5530, segm_mAP_s: 0.3240, segm_mAP_m: 0.5360, segm_mAP_l: 0.6900, segm_mAP_copypaste: 0.506 0.748 0.553 0.324 0.536 0.690 2022-09-15 21:49:49,809 - mmdet - INFO - Epoch [29][50/7330] lr: 1.000e-05, eta: 20:04:02, time: 3.382, data_time: 2.160, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1370, s0.loss_cls: 0.1045, s0.acc: 96.1238, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1734, s1.loss_cls: 0.0477, s1.acc: 96.4729, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0825, s2.loss_cls: 0.0251, s2.acc: 96.2839, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0394, loss: 0.8310 2022-09-15 21:50:51,516 - mmdet - INFO - Epoch [29][100/7330] lr: 1.000e-05, eta: 20:03:00, time: 1.234, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1436, s0.loss_cls: 0.1090, s0.acc: 95.8889, s0.loss_bbox: 0.0635, s0.loss_mask: 0.1771, s1.loss_cls: 0.0499, s1.acc: 96.2385, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0845, s2.loss_cls: 0.0260, s2.acc: 96.0396, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0403, loss: 0.8637 2022-09-15 21:51:52,836 - mmdet - INFO - Epoch [29][150/7330] lr: 1.000e-05, eta: 20:01:58, time: 1.226, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1358, s0.loss_cls: 0.1058, s0.acc: 96.0295, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1724, s1.loss_cls: 0.0499, s1.acc: 96.2234, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0827, s2.loss_cls: 0.0257, s2.acc: 96.0281, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0396, loss: 0.8381 2022-09-15 21:52:53,743 - mmdet - INFO - Epoch [29][200/7330] lr: 1.000e-05, eta: 20:00:55, time: 1.218, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1400, s0.loss_cls: 0.1019, s0.acc: 96.1038, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1655, s1.loss_cls: 0.0483, s1.acc: 96.3743, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0788, s2.loss_cls: 0.0247, s2.acc: 96.2068, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0376, loss: 0.8106 2022-09-15 21:53:55,605 - mmdet - INFO - Epoch [29][250/7330] lr: 1.000e-05, eta: 19:59:53, time: 1.238, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1450, s0.loss_cls: 0.1077, s0.acc: 95.9670, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1740, s1.loss_cls: 0.0509, s1.acc: 96.2322, s1.loss_bbox: 0.0758, s1.loss_mask: 0.0827, s2.loss_cls: 0.0257, s2.acc: 96.0739, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0394, loss: 0.8520 2022-09-15 21:54:56,850 - mmdet - INFO - Epoch [29][300/7330] lr: 1.000e-05, eta: 19:58:51, time: 1.225, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1452, s0.loss_cls: 0.1087, s0.acc: 95.8284, s0.loss_bbox: 0.0648, s0.loss_mask: 0.1753, s1.loss_cls: 0.0508, s1.acc: 96.1454, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0832, s2.loss_cls: 0.0264, s2.acc: 95.8766, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0393, loss: 0.8569 2022-09-15 21:55:57,581 - mmdet - INFO - Epoch [29][350/7330] lr: 1.000e-05, eta: 19:57:47, time: 1.214, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1397, s0.loss_cls: 0.0975, s0.acc: 96.3247, s0.loss_bbox: 0.0569, s0.loss_mask: 0.1665, s1.loss_cls: 0.0451, s1.acc: 96.5327, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0796, s2.loss_cls: 0.0236, s2.acc: 96.3176, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0380, loss: 0.7969 2022-09-15 21:56:58,843 - mmdet - INFO - Epoch [29][400/7330] lr: 1.000e-05, eta: 19:56:45, time: 1.225, data_time: 0.030, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1394, s0.loss_cls: 0.1018, s0.acc: 96.1333, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1685, s1.loss_cls: 0.0470, s1.acc: 96.4206, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0802, s2.loss_cls: 0.0241, s2.acc: 96.3404, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0383, loss: 0.8133 2022-09-15 21:58:00,236 - mmdet - INFO - Epoch [29][450/7330] lr: 1.000e-05, eta: 19:55:43, time: 1.228, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1394, s0.loss_cls: 0.1040, s0.acc: 96.0898, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1695, s1.loss_cls: 0.0479, s1.acc: 96.4118, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0806, s2.loss_cls: 0.0250, s2.acc: 96.1546, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0387, loss: 0.8217 2022-09-15 21:59:00,845 - mmdet - INFO - Epoch [29][500/7330] lr: 1.000e-05, eta: 19:54:39, time: 1.212, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1390, s0.loss_cls: 0.1081, s0.acc: 95.9563, s0.loss_bbox: 0.0626, s0.loss_mask: 0.1714, s1.loss_cls: 0.0504, s1.acc: 96.2765, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0819, s2.loss_cls: 0.0259, s2.acc: 96.0591, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0389, loss: 0.8383 2022-09-15 22:00:01,621 - mmdet - INFO - Epoch [29][550/7330] lr: 1.000e-05, eta: 19:53:36, time: 1.215, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1408, s0.loss_cls: 0.1050, s0.acc: 96.0210, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1703, s1.loss_cls: 0.0487, s1.acc: 96.3571, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0812, s2.loss_cls: 0.0251, s2.acc: 96.1967, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0387, loss: 0.8305 2022-09-15 22:01:01,749 - mmdet - INFO - Epoch [29][600/7330] lr: 1.000e-05, eta: 19:52:31, time: 1.203, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1382, s0.loss_cls: 0.1051, s0.acc: 95.9878, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1724, s1.loss_cls: 0.0493, s1.acc: 96.2966, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0826, s2.loss_cls: 0.0255, s2.acc: 96.0539, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0393, loss: 0.8367 2022-09-15 22:02:02,354 - mmdet - INFO - Epoch [29][650/7330] lr: 1.000e-05, eta: 19:51:28, time: 1.212, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1481, s0.loss_cls: 0.1006, s0.acc: 96.2371, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1682, s1.loss_cls: 0.0477, s1.acc: 96.5157, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0801, s2.loss_cls: 0.0248, s2.acc: 96.3219, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0382, loss: 0.8221 2022-09-15 22:03:03,459 - mmdet - INFO - Epoch [29][700/7330] lr: 1.000e-05, eta: 19:50:25, time: 1.222, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1415, s0.loss_cls: 0.1070, s0.acc: 95.9468, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1711, s1.loss_cls: 0.0502, s1.acc: 96.2276, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0813, s2.loss_cls: 0.0261, s2.acc: 96.0025, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0388, loss: 0.8395 2022-09-15 22:04:03,940 - mmdet - INFO - Epoch [29][750/7330] lr: 1.000e-05, eta: 19:49:21, time: 1.210, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1409, s0.loss_cls: 0.1025, s0.acc: 96.1511, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1683, s1.loss_cls: 0.0471, s1.acc: 96.4550, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0803, s2.loss_cls: 0.0241, s2.acc: 96.3003, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0383, loss: 0.8188 2022-09-15 22:05:06,222 - mmdet - INFO - Epoch [29][800/7330] lr: 1.000e-05, eta: 19:48:21, time: 1.246, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1392, s0.loss_cls: 0.1071, s0.acc: 95.9800, s0.loss_bbox: 0.0649, s0.loss_mask: 0.1782, s1.loss_cls: 0.0502, s1.acc: 96.2250, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0844, s2.loss_cls: 0.0256, s2.acc: 96.0359, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0403, loss: 0.8598 2022-09-15 22:06:07,656 - mmdet - INFO - Epoch [29][850/7330] lr: 1.000e-05, eta: 19:47:19, time: 1.229, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1384, s0.loss_cls: 0.1109, s0.acc: 95.8235, s0.loss_bbox: 0.0661, s0.loss_mask: 0.1816, s1.loss_cls: 0.0510, s1.acc: 96.1102, s1.loss_bbox: 0.0785, s1.loss_mask: 0.0865, s2.loss_cls: 0.0269, s2.acc: 95.8951, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0410, loss: 0.8707 2022-09-15 22:07:08,498 - mmdet - INFO - Epoch [29][900/7330] lr: 1.000e-05, eta: 19:46:16, time: 1.217, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1489, s0.loss_cls: 0.1043, s0.acc: 96.0496, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1739, s1.loss_cls: 0.0488, s1.acc: 96.2735, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0832, s2.loss_cls: 0.0257, s2.acc: 95.8910, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0396, loss: 0.8438 2022-09-15 22:08:08,762 - mmdet - INFO - Epoch [29][950/7330] lr: 1.000e-05, eta: 19:45:11, time: 1.205, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1359, s0.loss_cls: 0.1060, s0.acc: 96.0071, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1725, s1.loss_cls: 0.0496, s1.acc: 96.2589, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0823, s2.loss_cls: 0.0258, s2.acc: 96.0392, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0392, loss: 0.8314 2022-09-15 22:09:09,717 - mmdet - INFO - Epoch [29][1000/7330] lr: 1.000e-05, eta: 19:44:08, time: 1.219, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1418, s0.loss_cls: 0.1007, s0.acc: 96.1277, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1701, s1.loss_cls: 0.0469, s1.acc: 96.4012, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0814, s2.loss_cls: 0.0246, s2.acc: 96.2136, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0387, loss: 0.8214 2022-09-15 22:10:10,758 - mmdet - INFO - Epoch [29][1050/7330] lr: 1.000e-05, eta: 19:43:06, time: 1.221, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1386, s0.loss_cls: 0.1050, s0.acc: 95.9775, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1691, s1.loss_cls: 0.0484, s1.acc: 96.2803, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0806, s2.loss_cls: 0.0249, s2.acc: 96.1210, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0386, loss: 0.8270 2022-09-15 22:11:11,600 - mmdet - INFO - Epoch [29][1100/7330] lr: 1.000e-05, eta: 19:42:03, time: 1.217, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1348, s0.loss_cls: 0.0977, s0.acc: 96.3091, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1695, s1.loss_cls: 0.0444, s1.acc: 96.6643, s1.loss_bbox: 0.0680, s1.loss_mask: 0.0807, s2.loss_cls: 0.0231, s2.acc: 96.4759, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0383, loss: 0.7959 2022-09-15 22:12:12,443 - mmdet - INFO - Epoch [29][1150/7330] lr: 1.000e-05, eta: 19:40:59, time: 1.217, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1409, s0.loss_cls: 0.1047, s0.acc: 96.1108, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1685, s1.loss_cls: 0.0483, s1.acc: 96.4492, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0808, s2.loss_cls: 0.0259, s2.acc: 96.0075, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0385, loss: 0.8227 2022-09-15 22:13:13,000 - mmdet - INFO - Epoch [29][1200/7330] lr: 1.000e-05, eta: 19:39:56, time: 1.210, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1322, s0.loss_cls: 0.1004, s0.acc: 96.1519, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1764, s1.loss_cls: 0.0459, s1.acc: 96.5218, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0840, s2.loss_cls: 0.0242, s2.acc: 96.2731, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0400, loss: 0.8199 2022-09-15 22:14:14,561 - mmdet - INFO - Epoch [29][1250/7330] lr: 1.000e-05, eta: 19:38:54, time: 1.232, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1474, s0.loss_cls: 0.1120, s0.acc: 95.7488, s0.loss_bbox: 0.0650, s0.loss_mask: 0.1702, s1.loss_cls: 0.0531, s1.acc: 95.9821, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0807, s2.loss_cls: 0.0278, s2.acc: 95.7091, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0383, loss: 0.8603 2022-09-15 22:15:15,857 - mmdet - INFO - Epoch [29][1300/7330] lr: 1.000e-05, eta: 19:37:52, time: 1.226, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1401, s0.loss_cls: 0.1067, s0.acc: 95.8938, s0.loss_bbox: 0.0623, s0.loss_mask: 0.1741, s1.loss_cls: 0.0489, s1.acc: 96.3085, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0824, s2.loss_cls: 0.0254, s2.acc: 96.0464, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0393, loss: 0.8425 2022-09-15 22:16:16,730 - mmdet - INFO - Epoch [29][1350/7330] lr: 1.000e-05, eta: 19:36:49, time: 1.218, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1405, s0.loss_cls: 0.1074, s0.acc: 95.9619, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1733, s1.loss_cls: 0.0502, s1.acc: 96.2768, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0825, s2.loss_cls: 0.0262, s2.acc: 96.0582, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0393, loss: 0.8421 2022-09-15 22:17:18,760 - mmdet - INFO - Epoch [29][1400/7330] lr: 1.000e-05, eta: 19:35:48, time: 1.240, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1442, s0.loss_cls: 0.1026, s0.acc: 96.1619, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1684, s1.loss_cls: 0.0468, s1.acc: 96.5207, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0807, s2.loss_cls: 0.0242, s2.acc: 96.3865, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0387, loss: 0.8180 2022-09-15 22:18:19,460 - mmdet - INFO - Epoch [29][1450/7330] lr: 1.000e-05, eta: 19:34:45, time: 1.214, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1277, s0.loss_cls: 0.1011, s0.acc: 96.1633, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1703, s1.loss_cls: 0.0471, s1.acc: 96.4763, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0815, s2.loss_cls: 0.0248, s2.acc: 96.2197, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0387, loss: 0.8143 2022-09-15 22:19:20,253 - mmdet - INFO - Epoch [29][1500/7330] lr: 1.000e-05, eta: 19:33:41, time: 1.215, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1404, s0.loss_cls: 0.1083, s0.acc: 95.9062, s0.loss_bbox: 0.0634, s0.loss_mask: 0.1800, s1.loss_cls: 0.0495, s1.acc: 96.2490, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0859, s2.loss_cls: 0.0258, s2.acc: 95.9530, s2.loss_bbox: 0.0539, s2.loss_mask: 0.0408, loss: 0.8630 2022-09-15 22:20:21,311 - mmdet - INFO - Epoch [29][1550/7330] lr: 1.000e-05, eta: 19:32:39, time: 1.222, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1390, s0.loss_cls: 0.1045, s0.acc: 96.0771, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1721, s1.loss_cls: 0.0492, s1.acc: 96.2922, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0819, s2.loss_cls: 0.0258, s2.acc: 96.0029, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0388, loss: 0.8321 2022-09-15 22:21:22,109 - mmdet - INFO - Epoch [29][1600/7330] lr: 1.000e-05, eta: 19:31:36, time: 1.216, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1402, s0.loss_cls: 0.1032, s0.acc: 96.1042, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1739, s1.loss_cls: 0.0477, s1.acc: 96.4114, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0824, s2.loss_cls: 0.0245, s2.acc: 96.2307, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0390, loss: 0.8304 2022-09-15 22:22:22,921 - mmdet - INFO - Epoch [29][1650/7330] lr: 1.000e-05, eta: 19:30:32, time: 1.216, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1382, s0.loss_cls: 0.1024, s0.acc: 96.1072, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1708, s1.loss_cls: 0.0479, s1.acc: 96.4207, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0812, s2.loss_cls: 0.0249, s2.acc: 96.2831, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0387, loss: 0.8251 2022-09-15 22:23:23,139 - mmdet - INFO - Epoch [29][1700/7330] lr: 1.000e-05, eta: 19:29:28, time: 1.204, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1374, s0.loss_cls: 0.1082, s0.acc: 95.8906, s0.loss_bbox: 0.0657, s0.loss_mask: 0.1775, s1.loss_cls: 0.0503, s1.acc: 96.2427, s1.loss_bbox: 0.0799, s1.loss_mask: 0.0845, s2.loss_cls: 0.0259, s2.acc: 96.0064, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0403, loss: 0.8605 2022-09-15 22:24:24,260 - mmdet - INFO - Epoch [29][1750/7330] lr: 1.000e-05, eta: 19:28:26, time: 1.222, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1361, s0.loss_cls: 0.1100, s0.acc: 95.9055, s0.loss_bbox: 0.0624, s0.loss_mask: 0.1719, s1.loss_cls: 0.0511, s1.acc: 96.1655, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0821, s2.loss_cls: 0.0262, s2.acc: 96.0261, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0389, loss: 0.8452 2022-09-15 22:25:25,697 - mmdet - INFO - Epoch [29][1800/7330] lr: 1.000e-05, eta: 19:27:24, time: 1.229, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1318, s0.loss_cls: 0.1037, s0.acc: 96.0393, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1671, s1.loss_cls: 0.0485, s1.acc: 96.3288, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0800, s2.loss_cls: 0.0248, s2.acc: 96.1799, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0384, loss: 0.8106 2022-09-15 22:26:26,554 - mmdet - INFO - Epoch [29][1850/7330] lr: 1.000e-05, eta: 19:26:21, time: 1.216, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1480, s0.loss_cls: 0.1039, s0.acc: 96.0884, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1698, s1.loss_cls: 0.0490, s1.acc: 96.3667, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0813, s2.loss_cls: 0.0260, s2.acc: 96.0256, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0387, loss: 0.8410 2022-09-15 22:27:28,098 - mmdet - INFO - Epoch [29][1900/7330] lr: 1.000e-05, eta: 19:25:19, time: 1.232, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1346, s0.loss_cls: 0.1044, s0.acc: 96.0693, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1751, s1.loss_cls: 0.0489, s1.acc: 96.3464, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0831, s2.loss_cls: 0.0257, s2.acc: 96.1305, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0395, loss: 0.8330 2022-09-15 22:28:30,013 - mmdet - INFO - Epoch [29][1950/7330] lr: 1.000e-05, eta: 19:24:18, time: 1.239, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1081, s0.acc: 95.8679, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1755, s1.loss_cls: 0.0510, s1.acc: 96.0881, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0831, s2.loss_cls: 0.0261, s2.acc: 95.9547, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0395, loss: 0.8472 2022-09-15 22:29:31,397 - mmdet - INFO - Epoch [29][2000/7330] lr: 1.000e-05, eta: 19:23:16, time: 1.227, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1388, s0.loss_cls: 0.1014, s0.acc: 96.1206, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1705, s1.loss_cls: 0.0474, s1.acc: 96.3991, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0814, s2.loss_cls: 0.0249, s2.acc: 96.1604, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0388, loss: 0.8201 2022-09-15 22:30:32,767 - mmdet - INFO - Epoch [29][2050/7330] lr: 1.000e-05, eta: 19:22:14, time: 1.228, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1385, s0.loss_cls: 0.1065, s0.acc: 96.0398, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1706, s1.loss_cls: 0.0498, s1.acc: 96.3222, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0818, s2.loss_cls: 0.0261, s2.acc: 96.0700, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0389, loss: 0.8356 2022-09-15 22:31:34,310 - mmdet - INFO - Epoch [29][2100/7330] lr: 1.000e-05, eta: 19:21:12, time: 1.231, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1370, s0.loss_cls: 0.0981, s0.acc: 96.3147, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1686, s1.loss_cls: 0.0450, s1.acc: 96.6206, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0801, s2.loss_cls: 0.0235, s2.acc: 96.4268, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0382, loss: 0.8009 2022-09-15 22:32:35,892 - mmdet - INFO - Epoch [29][2150/7330] lr: 1.000e-05, eta: 19:20:11, time: 1.232, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1463, s0.loss_cls: 0.1118, s0.acc: 95.7212, s0.loss_bbox: 0.0642, s0.loss_mask: 0.1759, s1.loss_cls: 0.0527, s1.acc: 95.9710, s1.loss_bbox: 0.0784, s1.loss_mask: 0.0837, s2.loss_cls: 0.0278, s2.acc: 95.6633, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0400, loss: 0.8719 2022-09-15 22:33:37,223 - mmdet - INFO - Epoch [29][2200/7330] lr: 1.000e-05, eta: 19:19:08, time: 1.226, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1413, s0.loss_cls: 0.1014, s0.acc: 96.1279, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1672, s1.loss_cls: 0.0473, s1.acc: 96.3997, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0799, s2.loss_cls: 0.0251, s2.acc: 96.1734, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0381, loss: 0.8160 2022-09-15 22:34:37,834 - mmdet - INFO - Epoch [29][2250/7330] lr: 1.000e-05, eta: 19:18:05, time: 1.212, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1422, s0.loss_cls: 0.1051, s0.acc: 96.0801, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1763, s1.loss_cls: 0.0487, s1.acc: 96.3553, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0836, s2.loss_cls: 0.0250, s2.acc: 96.1645, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0397, loss: 0.8424 2022-09-15 22:35:39,741 - mmdet - INFO - Epoch [29][2300/7330] lr: 1.000e-05, eta: 19:17:04, time: 1.239, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1363, s0.loss_cls: 0.1047, s0.acc: 95.9836, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1771, s1.loss_cls: 0.0493, s1.acc: 96.2712, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0845, s2.loss_cls: 0.0258, s2.acc: 95.9665, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0404, loss: 0.8420 2022-09-15 22:36:40,758 - mmdet - INFO - Epoch [29][2350/7330] lr: 1.000e-05, eta: 19:16:01, time: 1.220, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1375, s0.loss_cls: 0.1048, s0.acc: 95.9390, s0.loss_bbox: 0.0623, s0.loss_mask: 0.1750, s1.loss_cls: 0.0479, s1.acc: 96.2950, s1.loss_bbox: 0.0763, s1.loss_mask: 0.0836, s2.loss_cls: 0.0252, s2.acc: 95.9746, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0398, loss: 0.8400 2022-09-15 22:37:41,821 - mmdet - INFO - Epoch [29][2400/7330] lr: 1.000e-05, eta: 19:14:59, time: 1.221, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1419, s0.loss_cls: 0.1130, s0.acc: 95.7610, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1733, s1.loss_cls: 0.0529, s1.acc: 96.0077, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0822, s2.loss_cls: 0.0279, s2.acc: 95.7346, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0393, loss: 0.8607 2022-09-15 22:38:43,124 - mmdet - INFO - Epoch [29][2450/7330] lr: 1.000e-05, eta: 19:13:56, time: 1.225, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1370, s0.loss_cls: 0.1083, s0.acc: 95.8921, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1766, s1.loss_cls: 0.0513, s1.acc: 96.1360, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0837, s2.loss_cls: 0.0270, s2.acc: 95.7954, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0396, loss: 0.8578 2022-09-15 22:39:44,196 - mmdet - INFO - Epoch [29][2500/7330] lr: 1.000e-05, eta: 19:12:54, time: 1.222, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1334, s0.loss_cls: 0.1013, s0.acc: 96.2573, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1661, s1.loss_cls: 0.0475, s1.acc: 96.4724, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0791, s2.loss_cls: 0.0248, s2.acc: 96.3165, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0376, loss: 0.7992 2022-09-15 22:40:46,254 - mmdet - INFO - Epoch [29][2550/7330] lr: 1.000e-05, eta: 19:11:53, time: 1.241, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1386, s0.loss_cls: 0.1030, s0.acc: 96.1428, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1693, s1.loss_cls: 0.0493, s1.acc: 96.2954, s1.loss_bbox: 0.0688, s1.loss_mask: 0.0812, s2.loss_cls: 0.0251, s2.acc: 96.1482, s2.loss_bbox: 0.0461, s2.loss_mask: 0.0387, loss: 0.8137 2022-09-15 22:41:47,153 - mmdet - INFO - Epoch [29][2600/7330] lr: 1.000e-05, eta: 19:10:50, time: 1.217, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1491, s0.loss_cls: 0.1039, s0.acc: 96.0684, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1722, s1.loss_cls: 0.0478, s1.acc: 96.3857, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0827, s2.loss_cls: 0.0249, s2.acc: 96.1671, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0397, loss: 0.8402 2022-09-15 22:42:47,429 - mmdet - INFO - Epoch [29][2650/7330] lr: 1.000e-05, eta: 19:09:46, time: 1.206, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1457, s0.loss_cls: 0.1029, s0.acc: 96.0837, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1718, s1.loss_cls: 0.0472, s1.acc: 96.4859, s1.loss_bbox: 0.0735, s1.loss_mask: 0.0820, s2.loss_cls: 0.0247, s2.acc: 96.2200, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0388, loss: 0.8348 2022-09-15 22:43:49,085 - mmdet - INFO - Epoch [29][2700/7330] lr: 1.000e-05, eta: 19:08:45, time: 1.233, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1424, s0.loss_cls: 0.1107, s0.acc: 95.8789, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1700, s1.loss_cls: 0.0521, s1.acc: 96.1482, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0813, s2.loss_cls: 0.0272, s2.acc: 95.9595, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0386, loss: 0.8494 2022-09-15 22:44:51,612 - mmdet - INFO - Epoch [29][2750/7330] lr: 1.000e-05, eta: 19:07:45, time: 1.250, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1391, s0.loss_cls: 0.1036, s0.acc: 96.0857, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1753, s1.loss_cls: 0.0483, s1.acc: 96.3698, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0839, s2.loss_cls: 0.0256, s2.acc: 96.0696, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0396, loss: 0.8331 2022-09-15 22:45:52,965 - mmdet - INFO - Epoch [29][2800/7330] lr: 1.000e-05, eta: 19:06:43, time: 1.227, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1471, s0.loss_cls: 0.1040, s0.acc: 96.1130, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1730, s1.loss_cls: 0.0492, s1.acc: 96.3044, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0823, s2.loss_cls: 0.0256, s2.acc: 96.1119, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0392, loss: 0.8397 2022-09-15 22:46:53,548 - mmdet - INFO - Epoch [29][2850/7330] lr: 1.000e-05, eta: 19:05:39, time: 1.213, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1411, s0.loss_cls: 0.1072, s0.acc: 95.9788, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1753, s1.loss_cls: 0.0503, s1.acc: 96.2180, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0834, s2.loss_cls: 0.0256, s2.acc: 96.0509, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0397, loss: 0.8496 2022-09-15 22:47:54,741 - mmdet - INFO - Epoch [29][2900/7330] lr: 1.000e-05, eta: 19:04:37, time: 1.223, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1406, s0.loss_cls: 0.1077, s0.acc: 95.9282, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1767, s1.loss_cls: 0.0508, s1.acc: 96.1631, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0841, s2.loss_cls: 0.0264, s2.acc: 95.9654, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0400, loss: 0.8505 2022-09-15 22:48:55,892 - mmdet - INFO - Epoch [29][2950/7330] lr: 1.000e-05, eta: 19:03:35, time: 1.223, data_time: 0.033, memory: 64752, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1415, s0.loss_cls: 0.1004, s0.acc: 96.2500, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1693, s1.loss_cls: 0.0470, s1.acc: 96.4612, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0802, s2.loss_cls: 0.0242, s2.acc: 96.2721, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0381, loss: 0.8136 2022-09-15 22:49:56,376 - mmdet - INFO - Epoch [29][3000/7330] lr: 1.000e-05, eta: 19:02:31, time: 1.210, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1018, s0.acc: 96.1316, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1710, s1.loss_cls: 0.0474, s1.acc: 96.4319, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0811, s2.loss_cls: 0.0241, s2.acc: 96.3173, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0388, loss: 0.8196 2022-09-15 22:50:56,670 - mmdet - INFO - Epoch [29][3050/7330] lr: 1.000e-05, eta: 19:01:27, time: 1.206, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1405, s0.loss_cls: 0.1054, s0.acc: 95.9741, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1731, s1.loss_cls: 0.0491, s1.acc: 96.2837, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0820, s2.loss_cls: 0.0252, s2.acc: 96.1573, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0390, loss: 0.8382 2022-09-15 22:51:57,354 - mmdet - INFO - Epoch [29][3100/7330] lr: 1.000e-05, eta: 19:00:24, time: 1.214, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1422, s0.loss_cls: 0.1018, s0.acc: 96.1472, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1715, s1.loss_cls: 0.0470, s1.acc: 96.4714, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0818, s2.loss_cls: 0.0245, s2.acc: 96.3233, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0391, loss: 0.8209 2022-09-15 22:52:57,907 - mmdet - INFO - Epoch [29][3150/7330] lr: 1.000e-05, eta: 18:59:21, time: 1.211, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1399, s0.loss_cls: 0.1090, s0.acc: 95.8579, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1738, s1.loss_cls: 0.0516, s1.acc: 96.0200, s1.loss_bbox: 0.0762, s1.loss_mask: 0.0829, s2.loss_cls: 0.0269, s2.acc: 95.7920, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0393, loss: 0.8508 2022-09-15 22:53:58,136 - mmdet - INFO - Epoch [29][3200/7330] lr: 1.000e-05, eta: 18:58:17, time: 1.205, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1436, s0.loss_cls: 0.1056, s0.acc: 96.0701, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1724, s1.loss_cls: 0.0499, s1.acc: 96.2986, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0827, s2.loss_cls: 0.0256, s2.acc: 96.1250, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0393, loss: 0.8362 2022-09-15 22:54:59,246 - mmdet - INFO - Epoch [29][3250/7330] lr: 1.000e-05, eta: 18:57:14, time: 1.222, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1434, s0.loss_cls: 0.0995, s0.acc: 96.2354, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1695, s1.loss_cls: 0.0466, s1.acc: 96.4435, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0801, s2.loss_cls: 0.0248, s2.acc: 96.1073, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0377, loss: 0.8149 2022-09-15 22:55:59,763 - mmdet - INFO - Epoch [29][3300/7330] lr: 1.000e-05, eta: 18:56:11, time: 1.210, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1340, s0.loss_cls: 0.1085, s0.acc: 95.8835, s0.loss_bbox: 0.0630, s0.loss_mask: 0.1669, s1.loss_cls: 0.0506, s1.acc: 96.1274, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0795, s2.loss_cls: 0.0263, s2.acc: 95.9400, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0380, loss: 0.8352 2022-09-15 22:57:00,475 - mmdet - INFO - Epoch [29][3350/7330] lr: 1.000e-05, eta: 18:55:08, time: 1.214, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1025, s0.acc: 96.1335, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1712, s1.loss_cls: 0.0483, s1.acc: 96.3446, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0811, s2.loss_cls: 0.0253, s2.acc: 96.1074, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0384, loss: 0.8239 2022-09-15 22:58:01,054 - mmdet - INFO - Epoch [29][3400/7330] lr: 1.000e-05, eta: 18:54:05, time: 1.212, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1011, s0.acc: 96.1716, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1648, s1.loss_cls: 0.0456, s1.acc: 96.5963, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0788, s2.loss_cls: 0.0234, s2.acc: 96.4443, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0377, loss: 0.8037 2022-09-15 22:59:01,830 - mmdet - INFO - Epoch [29][3450/7330] lr: 1.000e-05, eta: 18:53:02, time: 1.216, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1408, s0.loss_cls: 0.1110, s0.acc: 95.8311, s0.loss_bbox: 0.0649, s0.loss_mask: 0.1745, s1.loss_cls: 0.0520, s1.acc: 96.1001, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0828, s2.loss_cls: 0.0265, s2.acc: 96.0166, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0395, loss: 0.8581 2022-09-15 23:00:02,500 - mmdet - INFO - Epoch [29][3500/7330] lr: 1.000e-05, eta: 18:51:58, time: 1.213, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1425, s0.loss_cls: 0.1079, s0.acc: 95.8887, s0.loss_bbox: 0.0652, s0.loss_mask: 0.1704, s1.loss_cls: 0.0502, s1.acc: 96.1847, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0809, s2.loss_cls: 0.0260, s2.acc: 95.9901, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0385, loss: 0.8515 2022-09-15 23:01:04,275 - mmdet - INFO - Epoch [29][3550/7330] lr: 1.000e-05, eta: 18:50:57, time: 1.235, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1390, s0.loss_cls: 0.0989, s0.acc: 96.1973, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1703, s1.loss_cls: 0.0462, s1.acc: 96.4894, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0815, s2.loss_cls: 0.0242, s2.acc: 96.2085, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0387, loss: 0.8156 2022-09-15 23:02:05,738 - mmdet - INFO - Epoch [29][3600/7330] lr: 1.000e-05, eta: 18:49:55, time: 1.229, data_time: 0.031, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1399, s0.loss_cls: 0.1085, s0.acc: 95.9192, s0.loss_bbox: 0.0629, s0.loss_mask: 0.1713, s1.loss_cls: 0.0510, s1.acc: 96.1817, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0817, s2.loss_cls: 0.0265, s2.acc: 95.9815, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0388, loss: 0.8419 2022-09-15 23:03:07,706 - mmdet - INFO - Epoch [29][3650/7330] lr: 1.000e-05, eta: 18:48:54, time: 1.239, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1049, s0.acc: 96.0168, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1719, s1.loss_cls: 0.0488, s1.acc: 96.3551, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0819, s2.loss_cls: 0.0255, s2.acc: 96.0688, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0390, loss: 0.8293 2022-09-15 23:04:08,887 - mmdet - INFO - Epoch [29][3700/7330] lr: 1.000e-05, eta: 18:47:52, time: 1.223, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1379, s0.loss_cls: 0.1062, s0.acc: 95.9993, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1707, s1.loss_cls: 0.0494, s1.acc: 96.2674, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0814, s2.loss_cls: 0.0256, s2.acc: 96.1278, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0387, loss: 0.8361 2022-09-15 23:05:10,499 - mmdet - INFO - Epoch [29][3750/7330] lr: 1.000e-05, eta: 18:46:51, time: 1.233, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1374, s0.loss_cls: 0.1013, s0.acc: 96.1985, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1670, s1.loss_cls: 0.0480, s1.acc: 96.3462, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0798, s2.loss_cls: 0.0250, s2.acc: 96.1722, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0382, loss: 0.8084 2022-09-15 23:06:12,003 - mmdet - INFO - Epoch [29][3800/7330] lr: 1.000e-05, eta: 18:45:49, time: 1.230, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1390, s0.loss_cls: 0.1086, s0.acc: 95.8967, s0.loss_bbox: 0.0638, s0.loss_mask: 0.1770, s1.loss_cls: 0.0507, s1.acc: 96.1616, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0846, s2.loss_cls: 0.0260, s2.acc: 95.9912, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0402, loss: 0.8573 2022-09-15 23:07:12,162 - mmdet - INFO - Epoch [29][3850/7330] lr: 1.000e-05, eta: 18:44:45, time: 1.203, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0187, loss_semantic_seg: 0.1372, s0.loss_cls: 0.0998, s0.acc: 96.1699, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1725, s1.loss_cls: 0.0465, s1.acc: 96.4412, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0830, s2.loss_cls: 0.0244, s2.acc: 96.2572, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0396, loss: 0.8101 2022-09-15 23:08:11,825 - mmdet - INFO - Epoch [29][3900/7330] lr: 1.000e-05, eta: 18:43:40, time: 1.193, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1405, s0.loss_cls: 0.0992, s0.acc: 96.2808, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1681, s1.loss_cls: 0.0455, s1.acc: 96.6307, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0796, s2.loss_cls: 0.0237, s2.acc: 96.3988, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0378, loss: 0.8074 2022-09-15 23:09:13,838 - mmdet - INFO - Epoch [29][3950/7330] lr: 1.000e-05, eta: 18:42:39, time: 1.239, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1357, s0.loss_cls: 0.1033, s0.acc: 96.0400, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1699, s1.loss_cls: 0.0485, s1.acc: 96.2947, s1.loss_bbox: 0.0739, s1.loss_mask: 0.0806, s2.loss_cls: 0.0254, s2.acc: 96.0742, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0382, loss: 0.8201 2022-09-15 23:10:14,546 - mmdet - INFO - Epoch [29][4000/7330] lr: 1.000e-05, eta: 18:41:36, time: 1.215, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1448, s0.loss_cls: 0.1029, s0.acc: 96.0911, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1709, s1.loss_cls: 0.0476, s1.acc: 96.4060, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0816, s2.loss_cls: 0.0250, s2.acc: 96.1847, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0387, loss: 0.8291 2022-09-15 23:11:14,271 - mmdet - INFO - Epoch [29][4050/7330] lr: 1.000e-05, eta: 18:40:32, time: 1.194, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1423, s0.loss_cls: 0.1105, s0.acc: 95.8396, s0.loss_bbox: 0.0647, s0.loss_mask: 0.1741, s1.loss_cls: 0.0517, s1.acc: 96.1265, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0837, s2.loss_cls: 0.0265, s2.acc: 95.9646, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0400, loss: 0.8623 2022-09-15 23:12:14,570 - mmdet - INFO - Epoch [29][4100/7330] lr: 1.000e-05, eta: 18:39:28, time: 1.206, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1406, s0.loss_cls: 0.1040, s0.acc: 96.1062, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1689, s1.loss_cls: 0.0489, s1.acc: 96.3287, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0805, s2.loss_cls: 0.0251, s2.acc: 96.1255, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0384, loss: 0.8197 2022-09-15 23:13:16,187 - mmdet - INFO - Epoch [29][4150/7330] lr: 1.000e-05, eta: 18:38:26, time: 1.232, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1361, s0.loss_cls: 0.1026, s0.acc: 96.0327, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1710, s1.loss_cls: 0.0483, s1.acc: 96.3052, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0818, s2.loss_cls: 0.0251, s2.acc: 96.1287, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0391, loss: 0.8212 2022-09-15 23:14:17,332 - mmdet - INFO - Epoch [29][4200/7330] lr: 1.000e-05, eta: 18:37:24, time: 1.224, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1439, s0.loss_cls: 0.1072, s0.acc: 96.0386, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1698, s1.loss_cls: 0.0495, s1.acc: 96.3192, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0806, s2.loss_cls: 0.0258, s2.acc: 96.0557, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0382, loss: 0.8361 2022-09-15 23:15:18,119 - mmdet - INFO - Epoch [29][4250/7330] lr: 1.000e-05, eta: 18:36:21, time: 1.216, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1346, s0.loss_cls: 0.1011, s0.acc: 96.1218, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1731, s1.loss_cls: 0.0486, s1.acc: 96.3157, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0826, s2.loss_cls: 0.0255, s2.acc: 96.0792, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0388, loss: 0.8189 2022-09-15 23:16:19,060 - mmdet - INFO - Epoch [29][4300/7330] lr: 1.000e-05, eta: 18:35:19, time: 1.219, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1404, s0.loss_cls: 0.1085, s0.acc: 95.9097, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1767, s1.loss_cls: 0.0511, s1.acc: 96.1781, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0844, s2.loss_cls: 0.0265, s2.acc: 95.9576, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0400, loss: 0.8584 2022-09-15 23:17:19,619 - mmdet - INFO - Epoch [29][4350/7330] lr: 1.000e-05, eta: 18:34:15, time: 1.211, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1435, s0.loss_cls: 0.1050, s0.acc: 95.9773, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1732, s1.loss_cls: 0.0487, s1.acc: 96.2970, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0827, s2.loss_cls: 0.0249, s2.acc: 96.1250, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0394, loss: 0.8432 2022-09-15 23:18:20,445 - mmdet - INFO - Epoch [29][4400/7330] lr: 1.000e-05, eta: 18:33:13, time: 1.216, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1391, s0.loss_cls: 0.1071, s0.acc: 95.9585, s0.loss_bbox: 0.0638, s0.loss_mask: 0.1706, s1.loss_cls: 0.0490, s1.acc: 96.3012, s1.loss_bbox: 0.0758, s1.loss_mask: 0.0816, s2.loss_cls: 0.0255, s2.acc: 96.1124, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0389, loss: 0.8424 2022-09-15 23:19:21,999 - mmdet - INFO - Epoch [29][4450/7330] lr: 1.000e-05, eta: 18:32:11, time: 1.231, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1385, s0.loss_cls: 0.1105, s0.acc: 95.8479, s0.loss_bbox: 0.0624, s0.loss_mask: 0.1695, s1.loss_cls: 0.0513, s1.acc: 96.1340, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0806, s2.loss_cls: 0.0264, s2.acc: 95.9972, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0383, loss: 0.8392 2022-09-15 23:20:23,414 - mmdet - INFO - Epoch [29][4500/7330] lr: 1.000e-05, eta: 18:31:09, time: 1.228, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1070, s0.acc: 95.9470, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1710, s1.loss_cls: 0.0492, s1.acc: 96.3488, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0812, s2.loss_cls: 0.0255, s2.acc: 96.1340, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0388, loss: 0.8355 2022-09-15 23:21:25,163 - mmdet - INFO - Epoch [29][4550/7330] lr: 1.000e-05, eta: 18:30:08, time: 1.235, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1389, s0.loss_cls: 0.1020, s0.acc: 96.1543, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1727, s1.loss_cls: 0.0474, s1.acc: 96.4262, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0824, s2.loss_cls: 0.0248, s2.acc: 96.2202, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0393, loss: 0.8265 2022-09-15 23:22:26,423 - mmdet - INFO - Epoch [29][4600/7330] lr: 1.000e-05, eta: 18:29:06, time: 1.225, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1456, s0.loss_cls: 0.1078, s0.acc: 95.9595, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1718, s1.loss_cls: 0.0502, s1.acc: 96.2769, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0825, s2.loss_cls: 0.0258, s2.acc: 96.0878, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0396, loss: 0.8517 2022-09-15 23:23:28,180 - mmdet - INFO - Epoch [29][4650/7330] lr: 1.000e-05, eta: 18:28:05, time: 1.235, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1339, s0.loss_cls: 0.1016, s0.acc: 96.1404, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1684, s1.loss_cls: 0.0470, s1.acc: 96.3627, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0804, s2.loss_cls: 0.0241, s2.acc: 96.3331, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0384, loss: 0.8090 2022-09-15 23:24:30,671 - mmdet - INFO - Epoch [29][4700/7330] lr: 1.000e-05, eta: 18:27:05, time: 1.250, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1051, s0.acc: 96.0679, s0.loss_bbox: 0.0628, s0.loss_mask: 0.1738, s1.loss_cls: 0.0490, s1.acc: 96.3386, s1.loss_bbox: 0.0762, s1.loss_mask: 0.0833, s2.loss_cls: 0.0258, s2.acc: 96.0106, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0391, loss: 0.8381 2022-09-15 23:25:31,757 - mmdet - INFO - Epoch [29][4750/7330] lr: 1.000e-05, eta: 18:26:02, time: 1.222, data_time: 0.033, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1427, s0.loss_cls: 0.1031, s0.acc: 96.0642, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1700, s1.loss_cls: 0.0478, s1.acc: 96.3396, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0809, s2.loss_cls: 0.0249, s2.acc: 96.1962, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0388, loss: 0.8321 2022-09-15 23:26:34,041 - mmdet - INFO - Epoch [29][4800/7330] lr: 1.000e-05, eta: 18:25:02, time: 1.246, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1418, s0.loss_cls: 0.1044, s0.acc: 96.0054, s0.loss_bbox: 0.0635, s0.loss_mask: 0.1763, s1.loss_cls: 0.0487, s1.acc: 96.2603, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0837, s2.loss_cls: 0.0254, s2.acc: 96.0861, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0398, loss: 0.8485 2022-09-15 23:27:34,701 - mmdet - INFO - Epoch [29][4850/7330] lr: 1.000e-05, eta: 18:23:59, time: 1.213, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1399, s0.loss_cls: 0.0977, s0.acc: 96.3079, s0.loss_bbox: 0.0560, s0.loss_mask: 0.1681, s1.loss_cls: 0.0447, s1.acc: 96.6401, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0800, s2.loss_cls: 0.0235, s2.acc: 96.4267, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0383, loss: 0.8031 2022-09-15 23:28:35,115 - mmdet - INFO - Epoch [29][4900/7330] lr: 1.000e-05, eta: 18:22:55, time: 1.208, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1466, s0.loss_cls: 0.1078, s0.acc: 95.9009, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1744, s1.loss_cls: 0.0508, s1.acc: 96.1924, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0830, s2.loss_cls: 0.0263, s2.acc: 95.9846, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0395, loss: 0.8450 2022-09-15 23:29:36,887 - mmdet - INFO - Epoch [29][4950/7330] lr: 1.000e-05, eta: 18:21:54, time: 1.235, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1515, s0.loss_cls: 0.1042, s0.acc: 96.0159, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1715, s1.loss_cls: 0.0496, s1.acc: 96.2242, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0819, s2.loss_cls: 0.0261, s2.acc: 95.9300, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0389, loss: 0.8477 2022-09-15 23:30:37,469 - mmdet - INFO - Epoch [29][5000/7330] lr: 1.000e-05, eta: 18:20:51, time: 1.212, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1410, s0.loss_cls: 0.1032, s0.acc: 96.1895, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1655, s1.loss_cls: 0.0469, s1.acc: 96.5697, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0789, s2.loss_cls: 0.0241, s2.acc: 96.3947, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0374, loss: 0.8089 2022-09-15 23:31:38,684 - mmdet - INFO - Epoch [29][5050/7330] lr: 1.000e-05, eta: 18:19:49, time: 1.224, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1392, s0.loss_cls: 0.1022, s0.acc: 96.1277, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1742, s1.loss_cls: 0.0461, s1.acc: 96.5288, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0825, s2.loss_cls: 0.0240, s2.acc: 96.2987, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0394, loss: 0.8321 2022-09-15 23:32:39,442 - mmdet - INFO - Epoch [29][5100/7330] lr: 1.000e-05, eta: 18:18:46, time: 1.215, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1368, s0.loss_cls: 0.0990, s0.acc: 96.1750, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1694, s1.loss_cls: 0.0451, s1.acc: 96.5911, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0812, s2.loss_cls: 0.0233, s2.acc: 96.4459, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0388, loss: 0.8088 2022-09-15 23:33:39,760 - mmdet - INFO - Epoch [29][5150/7330] lr: 1.000e-05, eta: 18:17:43, time: 1.207, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1376, s0.loss_cls: 0.1068, s0.acc: 95.9646, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1741, s1.loss_cls: 0.0497, s1.acc: 96.2925, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0830, s2.loss_cls: 0.0260, s2.acc: 96.1074, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0395, loss: 0.8415 2022-09-15 23:34:42,221 - mmdet - INFO - Epoch [29][5200/7330] lr: 1.000e-05, eta: 18:16:42, time: 1.249, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1374, s0.loss_cls: 0.1076, s0.acc: 95.9707, s0.loss_bbox: 0.0635, s0.loss_mask: 0.1714, s1.loss_cls: 0.0508, s1.acc: 96.1821, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0810, s2.loss_cls: 0.0263, s2.acc: 95.9741, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0385, loss: 0.8404 2022-09-15 23:35:43,113 - mmdet - INFO - Epoch [29][5250/7330] lr: 1.000e-05, eta: 18:15:40, time: 1.218, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1416, s0.loss_cls: 0.1054, s0.acc: 96.0171, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1718, s1.loss_cls: 0.0493, s1.acc: 96.3165, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0819, s2.loss_cls: 0.0254, s2.acc: 96.1227, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0390, loss: 0.8382 2022-09-15 23:36:43,846 - mmdet - INFO - Epoch [29][5300/7330] lr: 1.000e-05, eta: 18:14:37, time: 1.215, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1368, s0.loss_cls: 0.1030, s0.acc: 96.1189, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1700, s1.loss_cls: 0.0484, s1.acc: 96.3371, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0814, s2.loss_cls: 0.0248, s2.acc: 96.1582, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0385, loss: 0.8205 2022-09-15 23:37:44,973 - mmdet - INFO - Epoch [29][5350/7330] lr: 1.000e-05, eta: 18:13:35, time: 1.223, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1454, s0.loss_cls: 0.1071, s0.acc: 96.0349, s0.loss_bbox: 0.0624, s0.loss_mask: 0.1733, s1.loss_cls: 0.0503, s1.acc: 96.2677, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0820, s2.loss_cls: 0.0259, s2.acc: 96.0859, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0389, loss: 0.8468 2022-09-15 23:38:45,481 - mmdet - INFO - Epoch [29][5400/7330] lr: 1.000e-05, eta: 18:12:31, time: 1.209, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1311, s0.loss_cls: 0.1009, s0.acc: 96.2019, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1709, s1.loss_cls: 0.0467, s1.acc: 96.5274, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0818, s2.loss_cls: 0.0244, s2.acc: 96.2631, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0389, loss: 0.8166 2022-09-15 23:39:46,556 - mmdet - INFO - Epoch [29][5450/7330] lr: 1.000e-05, eta: 18:11:29, time: 1.222, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1356, s0.loss_cls: 0.1015, s0.acc: 96.1868, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1719, s1.loss_cls: 0.0476, s1.acc: 96.3898, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0821, s2.loss_cls: 0.0248, s2.acc: 96.2228, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0388, loss: 0.8196 2022-09-15 23:40:47,464 - mmdet - INFO - Epoch [29][5500/7330] lr: 1.000e-05, eta: 18:10:27, time: 1.218, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1427, s0.loss_cls: 0.0975, s0.acc: 96.3379, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1672, s1.loss_cls: 0.0450, s1.acc: 96.6007, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0804, s2.loss_cls: 0.0238, s2.acc: 96.4045, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0384, loss: 0.8062 2022-09-15 23:41:49,432 - mmdet - INFO - Epoch [29][5550/7330] lr: 1.000e-05, eta: 18:09:26, time: 1.238, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1402, s0.loss_cls: 0.1042, s0.acc: 96.0615, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1754, s1.loss_cls: 0.0491, s1.acc: 96.2887, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0838, s2.loss_cls: 0.0253, s2.acc: 96.1004, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0395, loss: 0.8459 2022-09-15 23:42:51,306 - mmdet - INFO - Epoch [29][5600/7330] lr: 1.000e-05, eta: 18:08:25, time: 1.238, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1387, s0.loss_cls: 0.1114, s0.acc: 95.7588, s0.loss_bbox: 0.0642, s0.loss_mask: 0.1778, s1.loss_cls: 0.0515, s1.acc: 96.0681, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0848, s2.loss_cls: 0.0267, s2.acc: 95.8707, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0401, loss: 0.8621 2022-09-15 23:43:53,381 - mmdet - INFO - Epoch [29][5650/7330] lr: 1.000e-05, eta: 18:07:24, time: 1.241, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1371, s0.loss_cls: 0.1062, s0.acc: 96.0054, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1731, s1.loss_cls: 0.0495, s1.acc: 96.2557, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0825, s2.loss_cls: 0.0257, s2.acc: 96.1218, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0394, loss: 0.8407 2022-09-15 23:44:53,709 - mmdet - INFO - Epoch [29][5700/7330] lr: 1.000e-05, eta: 18:06:20, time: 1.207, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1339, s0.loss_cls: 0.1081, s0.acc: 95.8970, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1766, s1.loss_cls: 0.0501, s1.acc: 96.2210, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0843, s2.loss_cls: 0.0265, s2.acc: 95.9082, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0401, loss: 0.8457 2022-09-15 23:45:54,576 - mmdet - INFO - Epoch [29][5750/7330] lr: 1.000e-05, eta: 18:05:18, time: 1.217, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0234, loss_semantic_seg: 0.1402, s0.loss_cls: 0.1069, s0.acc: 95.9299, s0.loss_bbox: 0.0629, s0.loss_mask: 0.1739, s1.loss_cls: 0.0497, s1.acc: 96.2649, s1.loss_bbox: 0.0792, s1.loss_mask: 0.0827, s2.loss_cls: 0.0261, s2.acc: 95.9228, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0391, loss: 0.8530 2022-09-15 23:46:55,241 - mmdet - INFO - Epoch [29][5800/7330] lr: 1.000e-05, eta: 18:04:15, time: 1.213, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1369, s0.loss_cls: 0.1061, s0.acc: 95.9773, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1735, s1.loss_cls: 0.0488, s1.acc: 96.3804, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0828, s2.loss_cls: 0.0252, s2.acc: 96.2182, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0393, loss: 0.8403 2022-09-15 23:47:55,971 - mmdet - INFO - Epoch [29][5850/7330] lr: 1.000e-05, eta: 18:03:12, time: 1.215, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1396, s0.loss_cls: 0.1109, s0.acc: 95.8882, s0.loss_bbox: 0.0631, s0.loss_mask: 0.1698, s1.loss_cls: 0.0515, s1.acc: 96.1813, s1.loss_bbox: 0.0762, s1.loss_mask: 0.0804, s2.loss_cls: 0.0269, s2.acc: 95.8737, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0384, loss: 0.8470 2022-09-15 23:48:56,764 - mmdet - INFO - Epoch [29][5900/7330] lr: 1.000e-05, eta: 18:02:09, time: 1.216, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1394, s0.loss_cls: 0.0994, s0.acc: 96.2122, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1683, s1.loss_cls: 0.0465, s1.acc: 96.4537, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0796, s2.loss_cls: 0.0242, s2.acc: 96.2625, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0379, loss: 0.8054 2022-09-15 23:49:58,179 - mmdet - INFO - Epoch [29][5950/7330] lr: 1.000e-05, eta: 18:01:08, time: 1.228, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1413, s0.loss_cls: 0.1029, s0.acc: 96.0603, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1683, s1.loss_cls: 0.0487, s1.acc: 96.2935, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0801, s2.loss_cls: 0.0252, s2.acc: 96.1199, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0381, loss: 0.8226 2022-09-15 23:51:00,164 - mmdet - INFO - Epoch [29][6000/7330] lr: 1.000e-05, eta: 18:00:07, time: 1.240, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1456, s0.loss_cls: 0.1108, s0.acc: 95.7673, s0.loss_bbox: 0.0647, s0.loss_mask: 0.1752, s1.loss_cls: 0.0513, s1.acc: 96.0345, s1.loss_bbox: 0.0778, s1.loss_mask: 0.0833, s2.loss_cls: 0.0263, s2.acc: 95.8845, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0394, loss: 0.8655 2022-09-15 23:52:01,065 - mmdet - INFO - Epoch [29][6050/7330] lr: 1.000e-05, eta: 17:59:04, time: 1.218, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1380, s0.loss_cls: 0.1013, s0.acc: 96.1514, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1682, s1.loss_cls: 0.0472, s1.acc: 96.4252, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0799, s2.loss_cls: 0.0248, s2.acc: 96.1967, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0381, loss: 0.8154 2022-09-15 23:53:01,662 - mmdet - INFO - Epoch [29][6100/7330] lr: 1.000e-05, eta: 17:58:01, time: 1.212, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1358, s0.loss_cls: 0.0982, s0.acc: 96.2451, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1629, s1.loss_cls: 0.0444, s1.acc: 96.5613, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0786, s2.loss_cls: 0.0228, s2.acc: 96.4536, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0376, loss: 0.7861 2022-09-15 23:54:03,002 - mmdet - INFO - Epoch [29][6150/7330] lr: 1.000e-05, eta: 17:56:59, time: 1.227, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1438, s0.loss_cls: 0.1041, s0.acc: 96.0479, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1745, s1.loss_cls: 0.0484, s1.acc: 96.2977, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0828, s2.loss_cls: 0.0251, s2.acc: 96.1161, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0395, loss: 0.8372 2022-09-15 23:55:04,253 - mmdet - INFO - Epoch [29][6200/7330] lr: 1.000e-05, eta: 17:55:57, time: 1.225, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1387, s0.loss_cls: 0.0998, s0.acc: 96.1997, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1721, s1.loss_cls: 0.0467, s1.acc: 96.4641, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0818, s2.loss_cls: 0.0249, s2.acc: 96.2276, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0388, loss: 0.8228 2022-09-15 23:56:06,237 - mmdet - INFO - Epoch [29][6250/7330] lr: 1.000e-05, eta: 17:54:56, time: 1.240, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1326, s0.loss_cls: 0.0977, s0.acc: 96.3232, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1657, s1.loss_cls: 0.0451, s1.acc: 96.6567, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0789, s2.loss_cls: 0.0236, s2.acc: 96.3906, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0377, loss: 0.7922 2022-09-15 23:57:06,834 - mmdet - INFO - Epoch [29][6300/7330] lr: 1.000e-05, eta: 17:53:53, time: 1.212, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1425, s0.loss_cls: 0.1083, s0.acc: 95.8687, s0.loss_bbox: 0.0644, s0.loss_mask: 0.1720, s1.loss_cls: 0.0513, s1.acc: 96.0460, s1.loss_bbox: 0.0781, s1.loss_mask: 0.0820, s2.loss_cls: 0.0262, s2.acc: 95.9535, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0392, loss: 0.8527 2022-09-15 23:58:08,377 - mmdet - INFO - Epoch [29][6350/7330] lr: 1.000e-05, eta: 17:52:52, time: 1.231, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1063, s0.acc: 95.9573, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1739, s1.loss_cls: 0.0499, s1.acc: 96.2500, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0824, s2.loss_cls: 0.0258, s2.acc: 96.0262, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0391, loss: 0.8374 2022-09-15 23:59:08,529 - mmdet - INFO - Epoch [29][6400/7330] lr: 1.000e-05, eta: 17:51:48, time: 1.203, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1362, s0.loss_cls: 0.0980, s0.acc: 96.3313, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1649, s1.loss_cls: 0.0453, s1.acc: 96.6289, s1.loss_bbox: 0.0672, s1.loss_mask: 0.0793, s2.loss_cls: 0.0236, s2.acc: 96.4657, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0381, loss: 0.7911 2022-09-16 00:00:14,107 - mmdet - INFO - Epoch [29][6450/7330] lr: 1.000e-05, eta: 17:50:52, time: 1.311, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1435, s0.loss_cls: 0.1041, s0.acc: 96.1069, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1688, s1.loss_cls: 0.0486, s1.acc: 96.3753, s1.loss_bbox: 0.0735, s1.loss_mask: 0.0806, s2.loss_cls: 0.0254, s2.acc: 96.1175, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0386, loss: 0.8261 2022-09-16 00:01:14,605 - mmdet - INFO - Epoch [29][6500/7330] lr: 1.000e-05, eta: 17:49:49, time: 1.210, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0231, loss_semantic_seg: 0.1381, s0.loss_cls: 0.1065, s0.acc: 96.0186, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1717, s1.loss_cls: 0.0501, s1.acc: 96.2869, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0814, s2.loss_cls: 0.0258, s2.acc: 96.0585, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0387, loss: 0.8394 2022-09-16 00:02:15,561 - mmdet - INFO - Epoch [29][6550/7330] lr: 1.000e-05, eta: 17:48:47, time: 1.219, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1361, s0.loss_cls: 0.1041, s0.acc: 96.0137, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1769, s1.loss_cls: 0.0486, s1.acc: 96.2976, s1.loss_bbox: 0.0768, s1.loss_mask: 0.0848, s2.loss_cls: 0.0253, s2.acc: 96.0325, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0402, loss: 0.8431 2022-09-16 00:03:16,642 - mmdet - INFO - Epoch [29][6600/7330] lr: 1.000e-05, eta: 17:47:45, time: 1.221, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1456, s0.loss_cls: 0.1021, s0.acc: 96.1069, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1722, s1.loss_cls: 0.0482, s1.acc: 96.3146, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0826, s2.loss_cls: 0.0249, s2.acc: 96.1784, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0394, loss: 0.8351 2022-09-16 00:04:17,680 - mmdet - INFO - Epoch [29][6650/7330] lr: 1.000e-05, eta: 17:46:42, time: 1.221, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1326, s0.loss_cls: 0.1039, s0.acc: 96.0664, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1705, s1.loss_cls: 0.0494, s1.acc: 96.2818, s1.loss_bbox: 0.0702, s1.loss_mask: 0.0815, s2.loss_cls: 0.0259, s2.acc: 96.0654, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0387, loss: 0.8125 2022-09-16 00:05:18,889 - mmdet - INFO - Epoch [29][6700/7330] lr: 1.000e-05, eta: 17:45:40, time: 1.224, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1387, s0.loss_cls: 0.1075, s0.acc: 95.9871, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1706, s1.loss_cls: 0.0506, s1.acc: 96.2145, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0810, s2.loss_cls: 0.0258, s2.acc: 96.0896, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0386, loss: 0.8345 2022-09-16 00:06:21,331 - mmdet - INFO - Epoch [29][6750/7330] lr: 1.000e-05, eta: 17:44:40, time: 1.249, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1315, s0.loss_cls: 0.1039, s0.acc: 96.0400, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1741, s1.loss_cls: 0.0479, s1.acc: 96.3789, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0826, s2.loss_cls: 0.0246, s2.acc: 96.2010, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0393, loss: 0.8267 2022-09-16 00:07:23,726 - mmdet - INFO - Epoch [29][6800/7330] lr: 1.000e-05, eta: 17:43:40, time: 1.248, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1343, s0.loss_cls: 0.1024, s0.acc: 96.0779, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1768, s1.loss_cls: 0.0479, s1.acc: 96.3729, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0837, s2.loss_cls: 0.0248, s2.acc: 96.1952, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0400, loss: 0.8279 2022-09-16 00:08:24,676 - mmdet - INFO - Epoch [29][6850/7330] lr: 1.000e-05, eta: 17:42:37, time: 1.218, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1462, s0.loss_cls: 0.1015, s0.acc: 96.0972, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1673, s1.loss_cls: 0.0474, s1.acc: 96.3978, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0801, s2.loss_cls: 0.0243, s2.acc: 96.1703, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0378, loss: 0.8196 2022-09-16 00:09:27,995 - mmdet - INFO - Epoch [29][6900/7330] lr: 1.000e-05, eta: 17:41:38, time: 1.267, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1319, s0.loss_cls: 0.1062, s0.acc: 96.0000, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1698, s1.loss_cls: 0.0479, s1.acc: 96.3880, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0806, s2.loss_cls: 0.0245, s2.acc: 96.2621, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0382, loss: 0.8233 2022-09-16 00:10:29,710 - mmdet - INFO - Epoch [29][6950/7330] lr: 1.000e-05, eta: 17:40:37, time: 1.234, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1368, s0.loss_cls: 0.1041, s0.acc: 96.0718, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1725, s1.loss_cls: 0.0484, s1.acc: 96.3731, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0816, s2.loss_cls: 0.0251, s2.acc: 96.1392, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0388, loss: 0.8275 2022-09-16 00:11:30,759 - mmdet - INFO - Epoch [29][7000/7330] lr: 1.000e-05, eta: 17:39:35, time: 1.221, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1339, s0.loss_cls: 0.1048, s0.acc: 96.1064, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1696, s1.loss_cls: 0.0492, s1.acc: 96.3920, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0811, s2.loss_cls: 0.0256, s2.acc: 96.1861, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0388, loss: 0.8170 2022-09-16 00:12:31,900 - mmdet - INFO - Epoch [29][7050/7330] lr: 1.000e-05, eta: 17:38:33, time: 1.223, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1369, s0.loss_cls: 0.1004, s0.acc: 96.1599, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1702, s1.loss_cls: 0.0481, s1.acc: 96.4127, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0814, s2.loss_cls: 0.0248, s2.acc: 96.2798, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0386, loss: 0.8125 2022-09-16 00:13:32,782 - mmdet - INFO - Epoch [29][7100/7330] lr: 1.000e-05, eta: 17:37:30, time: 1.218, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1502, s0.loss_cls: 0.1013, s0.acc: 96.1687, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1702, s1.loss_cls: 0.0464, s1.acc: 96.5033, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0817, s2.loss_cls: 0.0243, s2.acc: 96.2981, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0388, loss: 0.8339 2022-09-16 00:14:33,580 - mmdet - INFO - Epoch [29][7150/7330] lr: 1.000e-05, eta: 17:36:27, time: 1.216, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1396, s0.loss_cls: 0.1073, s0.acc: 95.9788, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1734, s1.loss_cls: 0.0499, s1.acc: 96.3077, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0827, s2.loss_cls: 0.0261, s2.acc: 96.0272, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0393, loss: 0.8441 2022-09-16 00:15:34,775 - mmdet - INFO - Epoch [29][7200/7330] lr: 1.000e-05, eta: 17:35:25, time: 1.224, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1380, s0.loss_cls: 0.1043, s0.acc: 96.1230, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1702, s1.loss_cls: 0.0485, s1.acc: 96.4804, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0810, s2.loss_cls: 0.0254, s2.acc: 96.1986, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0385, loss: 0.8249 2022-09-16 00:16:35,816 - mmdet - INFO - Epoch [29][7250/7330] lr: 1.000e-05, eta: 17:34:23, time: 1.221, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1414, s0.loss_cls: 0.1125, s0.acc: 95.7048, s0.loss_bbox: 0.0656, s0.loss_mask: 0.1785, s1.loss_cls: 0.0526, s1.acc: 95.9725, s1.loss_bbox: 0.0783, s1.loss_mask: 0.0845, s2.loss_cls: 0.0271, s2.acc: 95.7842, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0401, loss: 0.8749 2022-09-16 00:17:36,909 - mmdet - INFO - Epoch [29][7300/7330] lr: 1.000e-05, eta: 17:33:21, time: 1.221, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1431, s0.loss_cls: 0.1079, s0.acc: 95.9529, s0.loss_bbox: 0.0626, s0.loss_mask: 0.1711, s1.loss_cls: 0.0508, s1.acc: 96.2286, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0815, s2.loss_cls: 0.0259, s2.acc: 96.1019, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0388, loss: 0.8425 2022-09-16 00:18:21,753 - mmdet - INFO - Saving checkpoint at 29 epochs 2022-09-16 00:22:27,915 - mmdet - INFO - Evaluating bbox... 2022-09-16 00:23:11,079 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.585 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.770 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.643 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.442 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.620 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.725 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.619 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.782 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.871 2022-09-16 00:23:11,080 - mmdet - INFO - Evaluating segm... 2022-09-16 00:23:58,859 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.509 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.749 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.559 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.327 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.539 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.695 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.506 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.683 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.792 2022-09-16 00:23:59,910 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 00:23:59,912 - mmdet - INFO - Epoch(val) [29][313] bbox_mAP: 0.5850, bbox_mAP_50: 0.7700, bbox_mAP_75: 0.6430, bbox_mAP_s: 0.4420, bbox_mAP_m: 0.6200, bbox_mAP_l: 0.7250, bbox_mAP_copypaste: 0.585 0.770 0.643 0.442 0.620 0.725, segm_mAP: 0.5090, segm_mAP_50: 0.7490, segm_mAP_75: 0.5590, segm_mAP_s: 0.3270, segm_mAP_m: 0.5390, segm_mAP_l: 0.6950, segm_mAP_copypaste: 0.509 0.749 0.559 0.327 0.539 0.695 2022-09-16 00:26:51,139 - mmdet - INFO - Epoch [30][50/7330] lr: 1.000e-05, eta: 17:33:24, time: 3.423, data_time: 2.194, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1405, s0.loss_cls: 0.1005, s0.acc: 96.2078, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1683, s1.loss_cls: 0.0461, s1.acc: 96.5701, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0802, s2.loss_cls: 0.0241, s2.acc: 96.3473, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0382, loss: 0.8118 2022-09-16 00:27:52,320 - mmdet - INFO - Epoch [30][100/7330] lr: 1.000e-05, eta: 17:32:22, time: 1.225, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1368, s0.loss_cls: 0.1011, s0.acc: 96.1987, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1697, s1.loss_cls: 0.0477, s1.acc: 96.4511, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0806, s2.loss_cls: 0.0247, s2.acc: 96.2931, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0384, loss: 0.8120 2022-09-16 00:28:54,033 - mmdet - INFO - Epoch [30][150/7330] lr: 1.000e-05, eta: 17:31:20, time: 1.233, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1376, s0.loss_cls: 0.1066, s0.acc: 95.9470, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1698, s1.loss_cls: 0.0504, s1.acc: 96.1463, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0809, s2.loss_cls: 0.0262, s2.acc: 95.9011, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0385, loss: 0.8371 2022-09-16 00:29:54,309 - mmdet - INFO - Epoch [30][200/7330] lr: 1.000e-05, eta: 17:30:17, time: 1.206, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1378, s0.loss_cls: 0.1001, s0.acc: 96.2268, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1660, s1.loss_cls: 0.0468, s1.acc: 96.4749, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0791, s2.loss_cls: 0.0243, s2.acc: 96.2832, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0378, loss: 0.8000 2022-09-16 00:30:56,048 - mmdet - INFO - Epoch [30][250/7330] lr: 1.000e-05, eta: 17:29:15, time: 1.235, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1413, s0.loss_cls: 0.0986, s0.acc: 96.1917, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1709, s1.loss_cls: 0.0453, s1.acc: 96.5343, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0814, s2.loss_cls: 0.0235, s2.acc: 96.3477, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0387, loss: 0.8190 2022-09-16 00:31:56,944 - mmdet - INFO - Epoch [30][300/7330] lr: 1.000e-05, eta: 17:28:12, time: 1.218, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1415, s0.loss_cls: 0.1007, s0.acc: 96.1494, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1679, s1.loss_cls: 0.0477, s1.acc: 96.4230, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0799, s2.loss_cls: 0.0249, s2.acc: 96.2322, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0380, loss: 0.8166 2022-09-16 00:32:57,664 - mmdet - INFO - Epoch [30][350/7330] lr: 1.000e-05, eta: 17:27:09, time: 1.214, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1078, s0.acc: 95.9182, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1737, s1.loss_cls: 0.0507, s1.acc: 96.1355, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0826, s2.loss_cls: 0.0266, s2.acc: 95.9372, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0392, loss: 0.8466 2022-09-16 00:33:58,966 - mmdet - INFO - Epoch [30][400/7330] lr: 1.000e-05, eta: 17:26:07, time: 1.226, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0236, loss_semantic_seg: 0.1420, s0.loss_cls: 0.1157, s0.acc: 95.7151, s0.loss_bbox: 0.0674, s0.loss_mask: 0.1824, s1.loss_cls: 0.0541, s1.acc: 95.9554, s1.loss_bbox: 0.0809, s1.loss_mask: 0.0862, s2.loss_cls: 0.0279, s2.acc: 95.7659, s2.loss_bbox: 0.0546, s2.loss_mask: 0.0408, loss: 0.8940 2022-09-16 00:34:59,923 - mmdet - INFO - Epoch [30][450/7330] lr: 1.000e-05, eta: 17:25:05, time: 1.219, data_time: 0.030, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1375, s0.loss_cls: 0.1099, s0.acc: 95.7703, s0.loss_bbox: 0.0647, s0.loss_mask: 0.1819, s1.loss_cls: 0.0506, s1.acc: 96.1520, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0865, s2.loss_cls: 0.0259, s2.acc: 95.9972, s2.loss_bbox: 0.0542, s2.loss_mask: 0.0412, loss: 0.8663 2022-09-16 00:36:00,392 - mmdet - INFO - Epoch [30][500/7330] lr: 1.000e-05, eta: 17:24:01, time: 1.209, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1342, s0.loss_cls: 0.1008, s0.acc: 96.1748, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1693, s1.loss_cls: 0.0465, s1.acc: 96.4844, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0804, s2.loss_cls: 0.0244, s2.acc: 96.2841, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0382, loss: 0.8112 2022-09-16 00:37:00,823 - mmdet - INFO - Epoch [30][550/7330] lr: 1.000e-05, eta: 17:22:58, time: 1.208, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1427, s0.loss_cls: 0.1076, s0.acc: 95.9387, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1689, s1.loss_cls: 0.0505, s1.acc: 96.2476, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0809, s2.loss_cls: 0.0260, s2.acc: 95.9901, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0387, loss: 0.8387 2022-09-16 00:38:02,221 - mmdet - INFO - Epoch [30][600/7330] lr: 1.000e-05, eta: 17:21:56, time: 1.228, data_time: 0.034, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1403, s0.loss_cls: 0.1037, s0.acc: 96.0110, s0.loss_bbox: 0.0623, s0.loss_mask: 0.1743, s1.loss_cls: 0.0487, s1.acc: 96.2790, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0829, s2.loss_cls: 0.0249, s2.acc: 96.2113, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0396, loss: 0.8362 2022-09-16 00:39:02,322 - mmdet - INFO - Epoch [30][650/7330] lr: 1.000e-05, eta: 17:20:52, time: 1.202, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1415, s0.loss_cls: 0.1051, s0.acc: 95.9746, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1688, s1.loss_cls: 0.0493, s1.acc: 96.1647, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0808, s2.loss_cls: 0.0257, s2.acc: 95.9478, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0382, loss: 0.8326 2022-09-16 00:40:03,989 - mmdet - INFO - Epoch [30][700/7330] lr: 1.000e-05, eta: 17:19:51, time: 1.233, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1399, s0.loss_cls: 0.1062, s0.acc: 95.9480, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1724, s1.loss_cls: 0.0497, s1.acc: 96.2597, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0824, s2.loss_cls: 0.0259, s2.acc: 96.0614, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0391, loss: 0.8411 2022-09-16 00:41:04,699 - mmdet - INFO - Epoch [30][750/7330] lr: 1.000e-05, eta: 17:18:48, time: 1.215, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1442, s0.loss_cls: 0.1086, s0.acc: 95.8979, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1709, s1.loss_cls: 0.0510, s1.acc: 96.1965, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0821, s2.loss_cls: 0.0265, s2.acc: 95.9395, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0389, loss: 0.8482 2022-09-16 00:42:05,450 - mmdet - INFO - Epoch [30][800/7330] lr: 1.000e-05, eta: 17:17:45, time: 1.215, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1344, s0.loss_cls: 0.1053, s0.acc: 96.0161, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1755, s1.loss_cls: 0.0492, s1.acc: 96.3261, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0832, s2.loss_cls: 0.0256, s2.acc: 96.1509, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0396, loss: 0.8377 2022-09-16 00:43:06,028 - mmdet - INFO - Epoch [30][850/7330] lr: 1.000e-05, eta: 17:16:42, time: 1.212, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1344, s0.loss_cls: 0.1073, s0.acc: 95.9146, s0.loss_bbox: 0.0628, s0.loss_mask: 0.1718, s1.loss_cls: 0.0504, s1.acc: 96.1260, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0817, s2.loss_cls: 0.0256, s2.acc: 96.0525, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0387, loss: 0.8338 2022-09-16 00:44:06,418 - mmdet - INFO - Epoch [30][900/7330] lr: 1.000e-05, eta: 17:15:39, time: 1.208, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1338, s0.loss_cls: 0.1044, s0.acc: 96.0420, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1688, s1.loss_cls: 0.0486, s1.acc: 96.3822, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0806, s2.loss_cls: 0.0253, s2.acc: 96.2101, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0383, loss: 0.8161 2022-09-16 00:45:06,993 - mmdet - INFO - Epoch [30][950/7330] lr: 1.000e-05, eta: 17:14:36, time: 1.212, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1413, s0.loss_cls: 0.0978, s0.acc: 96.2876, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1675, s1.loss_cls: 0.0456, s1.acc: 96.5601, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0809, s2.loss_cls: 0.0238, s2.acc: 96.3289, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0387, loss: 0.8053 2022-09-16 00:46:07,540 - mmdet - INFO - Epoch [30][1000/7330] lr: 1.000e-05, eta: 17:13:33, time: 1.211, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1334, s0.loss_cls: 0.0972, s0.acc: 96.2847, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1691, s1.loss_cls: 0.0451, s1.acc: 96.5567, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0811, s2.loss_cls: 0.0236, s2.acc: 96.3323, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0388, loss: 0.8052 2022-09-16 00:47:09,542 - mmdet - INFO - Epoch [30][1050/7330] lr: 1.000e-05, eta: 17:12:31, time: 1.240, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1364, s0.loss_cls: 0.1025, s0.acc: 96.1257, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1682, s1.loss_cls: 0.0471, s1.acc: 96.3940, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0804, s2.loss_cls: 0.0244, s2.acc: 96.2798, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0388, loss: 0.8130 2022-09-16 00:48:09,966 - mmdet - INFO - Epoch [30][1100/7330] lr: 1.000e-05, eta: 17:11:28, time: 1.209, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1351, s0.loss_cls: 0.0990, s0.acc: 96.2468, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1658, s1.loss_cls: 0.0458, s1.acc: 96.5329, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0793, s2.loss_cls: 0.0241, s2.acc: 96.3050, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0377, loss: 0.8005 2022-09-16 00:49:10,871 - mmdet - INFO - Epoch [30][1150/7330] lr: 1.000e-05, eta: 17:10:26, time: 1.218, data_time: 0.030, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1376, s0.loss_cls: 0.1062, s0.acc: 95.9246, s0.loss_bbox: 0.0631, s0.loss_mask: 0.1776, s1.loss_cls: 0.0483, s1.acc: 96.2703, s1.loss_bbox: 0.0771, s1.loss_mask: 0.0851, s2.loss_cls: 0.0253, s2.acc: 96.0689, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0404, loss: 0.8493 2022-09-16 00:50:11,047 - mmdet - INFO - Epoch [30][1200/7330] lr: 1.000e-05, eta: 17:09:22, time: 1.204, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1341, s0.loss_cls: 0.1009, s0.acc: 96.1914, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1728, s1.loss_cls: 0.0479, s1.acc: 96.3863, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0825, s2.loss_cls: 0.0248, s2.acc: 96.2288, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0393, loss: 0.8182 2022-09-16 00:51:11,956 - mmdet - INFO - Epoch [30][1250/7330] lr: 1.000e-05, eta: 17:08:19, time: 1.217, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1413, s0.loss_cls: 0.1053, s0.acc: 95.9624, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1727, s1.loss_cls: 0.0494, s1.acc: 96.1868, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0816, s2.loss_cls: 0.0257, s2.acc: 96.0147, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0388, loss: 0.8387 2022-09-16 00:52:13,247 - mmdet - INFO - Epoch [30][1300/7330] lr: 1.000e-05, eta: 17:07:17, time: 1.227, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1405, s0.loss_cls: 0.1043, s0.acc: 96.0808, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1645, s1.loss_cls: 0.0490, s1.acc: 96.3750, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0782, s2.loss_cls: 0.0258, s2.acc: 96.1284, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0375, loss: 0.8188 2022-09-16 00:53:14,702 - mmdet - INFO - Epoch [30][1350/7330] lr: 1.000e-05, eta: 17:06:16, time: 1.229, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1407, s0.loss_cls: 0.1018, s0.acc: 96.1917, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1708, s1.loss_cls: 0.0472, s1.acc: 96.4483, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0815, s2.loss_cls: 0.0248, s2.acc: 96.2000, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0389, loss: 0.8175 2022-09-16 00:54:15,859 - mmdet - INFO - Epoch [30][1400/7330] lr: 1.000e-05, eta: 17:05:13, time: 1.223, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1421, s0.loss_cls: 0.1013, s0.acc: 96.1653, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1717, s1.loss_cls: 0.0472, s1.acc: 96.4469, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0825, s2.loss_cls: 0.0245, s2.acc: 96.2477, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0394, loss: 0.8264 2022-09-16 00:55:16,700 - mmdet - INFO - Epoch [30][1450/7330] lr: 1.000e-05, eta: 17:04:11, time: 1.217, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1346, s0.loss_cls: 0.0985, s0.acc: 96.2124, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1702, s1.loss_cls: 0.0453, s1.acc: 96.5241, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0814, s2.loss_cls: 0.0237, s2.acc: 96.3302, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0390, loss: 0.8050 2022-09-16 00:56:18,817 - mmdet - INFO - Epoch [30][1500/7330] lr: 1.000e-05, eta: 17:03:10, time: 1.242, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1341, s0.loss_cls: 0.1024, s0.acc: 96.1895, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1703, s1.loss_cls: 0.0474, s1.acc: 96.4512, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0811, s2.loss_cls: 0.0248, s2.acc: 96.2178, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0384, loss: 0.8169 2022-09-16 00:57:19,898 - mmdet - INFO - Epoch [30][1550/7330] lr: 1.000e-05, eta: 17:02:07, time: 1.222, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1368, s0.loss_cls: 0.1001, s0.acc: 96.2363, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1718, s1.loss_cls: 0.0464, s1.acc: 96.5855, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0815, s2.loss_cls: 0.0239, s2.acc: 96.4207, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0387, loss: 0.8164 2022-09-16 00:58:20,787 - mmdet - INFO - Epoch [30][1600/7330] lr: 1.000e-05, eta: 17:01:05, time: 1.217, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1383, s0.loss_cls: 0.0985, s0.acc: 96.2876, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1685, s1.loss_cls: 0.0454, s1.acc: 96.5913, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0802, s2.loss_cls: 0.0238, s2.acc: 96.3712, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0382, loss: 0.8016 2022-09-16 00:59:20,988 - mmdet - INFO - Epoch [30][1650/7330] lr: 1.000e-05, eta: 17:00:01, time: 1.204, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1101, s0.acc: 95.8650, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1728, s1.loss_cls: 0.0512, s1.acc: 96.1849, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0818, s2.loss_cls: 0.0266, s2.acc: 95.9751, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0391, loss: 0.8486 2022-09-16 01:00:21,532 - mmdet - INFO - Epoch [30][1700/7330] lr: 1.000e-05, eta: 16:58:58, time: 1.210, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1350, s0.loss_cls: 0.0984, s0.acc: 96.2922, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1688, s1.loss_cls: 0.0450, s1.acc: 96.6044, s1.loss_bbox: 0.0689, s1.loss_mask: 0.0810, s2.loss_cls: 0.0230, s2.acc: 96.5287, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0389, loss: 0.7971 2022-09-16 01:01:22,859 - mmdet - INFO - Epoch [30][1750/7330] lr: 1.000e-05, eta: 16:57:56, time: 1.227, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1349, s0.loss_cls: 0.1046, s0.acc: 96.0623, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1700, s1.loss_cls: 0.0493, s1.acc: 96.3211, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0812, s2.loss_cls: 0.0259, s2.acc: 96.0134, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0384, loss: 0.8272 2022-09-16 01:02:23,093 - mmdet - INFO - Epoch [30][1800/7330] lr: 1.000e-05, eta: 16:56:53, time: 1.205, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1339, s0.loss_cls: 0.1048, s0.acc: 96.0232, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1716, s1.loss_cls: 0.0488, s1.acc: 96.3101, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0821, s2.loss_cls: 0.0256, s2.acc: 96.0558, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0388, loss: 0.8285 2022-09-16 01:03:23,697 - mmdet - INFO - Epoch [30][1850/7330] lr: 1.000e-05, eta: 16:55:50, time: 1.212, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1407, s0.loss_cls: 0.1063, s0.acc: 96.0457, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1747, s1.loss_cls: 0.0485, s1.acc: 96.3528, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0831, s2.loss_cls: 0.0252, s2.acc: 96.2156, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0397, loss: 0.8485 2022-09-16 01:04:24,220 - mmdet - INFO - Epoch [30][1900/7330] lr: 1.000e-05, eta: 16:54:47, time: 1.210, data_time: 0.031, memory: 64752, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1406, s0.loss_cls: 0.1016, s0.acc: 96.0784, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1713, s1.loss_cls: 0.0471, s1.acc: 96.3999, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0819, s2.loss_cls: 0.0244, s2.acc: 96.2326, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0390, loss: 0.8259 2022-09-16 01:05:25,041 - mmdet - INFO - Epoch [30][1950/7330] lr: 1.000e-05, eta: 16:53:44, time: 1.216, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1341, s0.loss_cls: 0.1065, s0.acc: 95.9741, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1728, s1.loss_cls: 0.0498, s1.acc: 96.2361, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0824, s2.loss_cls: 0.0253, s2.acc: 96.2176, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0392, loss: 0.8368 2022-09-16 01:06:26,689 - mmdet - INFO - Epoch [30][2000/7330] lr: 1.000e-05, eta: 16:52:43, time: 1.233, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1349, s0.loss_cls: 0.1037, s0.acc: 96.0718, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1700, s1.loss_cls: 0.0484, s1.acc: 96.3699, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0811, s2.loss_cls: 0.0250, s2.acc: 96.1782, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0386, loss: 0.8220 2022-09-16 01:07:27,473 - mmdet - INFO - Epoch [30][2050/7330] lr: 1.000e-05, eta: 16:51:40, time: 1.216, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1434, s0.loss_cls: 0.0992, s0.acc: 96.2009, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1667, s1.loss_cls: 0.0457, s1.acc: 96.5196, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0792, s2.loss_cls: 0.0240, s2.acc: 96.2350, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0377, loss: 0.8108 2022-09-16 01:08:29,350 - mmdet - INFO - Epoch [30][2100/7330] lr: 1.000e-05, eta: 16:50:39, time: 1.237, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1405, s0.loss_cls: 0.1086, s0.acc: 95.8647, s0.loss_bbox: 0.0628, s0.loss_mask: 0.1767, s1.loss_cls: 0.0509, s1.acc: 96.1218, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0845, s2.loss_cls: 0.0265, s2.acc: 95.9166, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0402, loss: 0.8529 2022-09-16 01:09:30,080 - mmdet - INFO - Epoch [30][2150/7330] lr: 1.000e-05, eta: 16:49:36, time: 1.215, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1355, s0.loss_cls: 0.1012, s0.acc: 96.1670, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1647, s1.loss_cls: 0.0463, s1.acc: 96.4602, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0786, s2.loss_cls: 0.0241, s2.acc: 96.3350, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0373, loss: 0.8039 2022-09-16 01:10:32,189 - mmdet - INFO - Epoch [30][2200/7330] lr: 1.000e-05, eta: 16:48:35, time: 1.243, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1389, s0.loss_cls: 0.1049, s0.acc: 96.1445, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1694, s1.loss_cls: 0.0482, s1.acc: 96.4393, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0809, s2.loss_cls: 0.0252, s2.acc: 96.1858, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0387, loss: 0.8258 2022-09-16 01:11:33,418 - mmdet - INFO - Epoch [30][2250/7330] lr: 1.000e-05, eta: 16:47:33, time: 1.224, data_time: 0.030, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1328, s0.loss_cls: 0.1030, s0.acc: 96.1099, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1721, s1.loss_cls: 0.0481, s1.acc: 96.4026, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0825, s2.loss_cls: 0.0247, s2.acc: 96.2682, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0393, loss: 0.8184 2022-09-16 01:12:34,110 - mmdet - INFO - Epoch [30][2300/7330] lr: 1.000e-05, eta: 16:46:30, time: 1.214, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1307, s0.loss_cls: 0.0938, s0.acc: 96.4150, s0.loss_bbox: 0.0552, s0.loss_mask: 0.1702, s1.loss_cls: 0.0433, s1.acc: 96.7268, s1.loss_bbox: 0.0682, s1.loss_mask: 0.0817, s2.loss_cls: 0.0228, s2.acc: 96.4732, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0391, loss: 0.7846 2022-09-16 01:13:35,199 - mmdet - INFO - Epoch [30][2350/7330] lr: 1.000e-05, eta: 16:45:28, time: 1.222, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1374, s0.loss_cls: 0.1018, s0.acc: 96.1663, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1708, s1.loss_cls: 0.0466, s1.acc: 96.4554, s1.loss_bbox: 0.0739, s1.loss_mask: 0.0814, s2.loss_cls: 0.0241, s2.acc: 96.3131, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0389, loss: 0.8212 2022-09-16 01:14:36,727 - mmdet - INFO - Epoch [30][2400/7330] lr: 1.000e-05, eta: 16:44:26, time: 1.231, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1434, s0.loss_cls: 0.1107, s0.acc: 95.8376, s0.loss_bbox: 0.0652, s0.loss_mask: 0.1751, s1.loss_cls: 0.0523, s1.acc: 96.0719, s1.loss_bbox: 0.0780, s1.loss_mask: 0.0833, s2.loss_cls: 0.0272, s2.acc: 95.7837, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0393, loss: 0.8633 2022-09-16 01:15:37,797 - mmdet - INFO - Epoch [30][2450/7330] lr: 1.000e-05, eta: 16:43:24, time: 1.220, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1425, s0.loss_cls: 0.1087, s0.acc: 95.8784, s0.loss_bbox: 0.0637, s0.loss_mask: 0.1744, s1.loss_cls: 0.0500, s1.acc: 96.2554, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0828, s2.loss_cls: 0.0258, s2.acc: 96.0019, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0395, loss: 0.8538 2022-09-16 01:16:39,714 - mmdet - INFO - Epoch [30][2500/7330] lr: 1.000e-05, eta: 16:42:23, time: 1.239, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1342, s0.loss_cls: 0.1056, s0.acc: 95.9885, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1713, s1.loss_cls: 0.0481, s1.acc: 96.3224, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0817, s2.loss_cls: 0.0253, s2.acc: 96.1216, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0388, loss: 0.8274 2022-09-16 01:17:41,029 - mmdet - INFO - Epoch [30][2550/7330] lr: 1.000e-05, eta: 16:41:21, time: 1.226, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1324, s0.loss_cls: 0.0997, s0.acc: 96.2158, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1699, s1.loss_cls: 0.0470, s1.acc: 96.4254, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0808, s2.loss_cls: 0.0244, s2.acc: 96.2568, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0386, loss: 0.8082 2022-09-16 01:18:42,113 - mmdet - INFO - Epoch [30][2600/7330] lr: 1.000e-05, eta: 16:40:18, time: 1.222, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1337, s0.loss_cls: 0.1007, s0.acc: 96.2041, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1665, s1.loss_cls: 0.0467, s1.acc: 96.5019, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0798, s2.loss_cls: 0.0241, s2.acc: 96.2975, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0381, loss: 0.7995 2022-09-16 01:19:41,732 - mmdet - INFO - Epoch [30][2650/7330] lr: 1.000e-05, eta: 16:39:14, time: 1.192, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1364, s0.loss_cls: 0.1012, s0.acc: 96.1597, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1706, s1.loss_cls: 0.0468, s1.acc: 96.5123, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0812, s2.loss_cls: 0.0244, s2.acc: 96.3316, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0388, loss: 0.8143 2022-09-16 01:20:42,452 - mmdet - INFO - Epoch [30][2700/7330] lr: 1.000e-05, eta: 16:38:12, time: 1.214, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1330, s0.loss_cls: 0.0961, s0.acc: 96.3577, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1644, s1.loss_cls: 0.0451, s1.acc: 96.6154, s1.loss_bbox: 0.0679, s1.loss_mask: 0.0787, s2.loss_cls: 0.0234, s2.acc: 96.4398, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0377, loss: 0.7817 2022-09-16 01:21:44,153 - mmdet - INFO - Epoch [30][2750/7330] lr: 1.000e-05, eta: 16:37:10, time: 1.234, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1388, s0.loss_cls: 0.1045, s0.acc: 96.0051, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1749, s1.loss_cls: 0.0490, s1.acc: 96.2819, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0830, s2.loss_cls: 0.0252, s2.acc: 96.0741, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0392, loss: 0.8355 2022-09-16 01:22:46,215 - mmdet - INFO - Epoch [30][2800/7330] lr: 1.000e-05, eta: 16:36:09, time: 1.241, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1322, s0.loss_cls: 0.1051, s0.acc: 95.9487, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1728, s1.loss_cls: 0.0491, s1.acc: 96.2658, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0827, s2.loss_cls: 0.0255, s2.acc: 96.0069, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0394, loss: 0.8303 2022-09-16 01:23:47,657 - mmdet - INFO - Epoch [30][2850/7330] lr: 1.000e-05, eta: 16:35:07, time: 1.229, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1326, s0.loss_cls: 0.1066, s0.acc: 95.9907, s0.loss_bbox: 0.0624, s0.loss_mask: 0.1719, s1.loss_cls: 0.0493, s1.acc: 96.3275, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0818, s2.loss_cls: 0.0257, s2.acc: 96.0735, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0389, loss: 0.8323 2022-09-16 01:24:48,442 - mmdet - INFO - Epoch [30][2900/7330] lr: 1.000e-05, eta: 16:34:05, time: 1.216, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1342, s0.loss_cls: 0.1039, s0.acc: 96.0291, s0.loss_bbox: 0.0620, s0.loss_mask: 0.1694, s1.loss_cls: 0.0489, s1.acc: 96.2536, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0800, s2.loss_cls: 0.0254, s2.acc: 96.0064, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0382, loss: 0.8252 2022-09-16 01:25:49,020 - mmdet - INFO - Epoch [30][2950/7330] lr: 1.000e-05, eta: 16:33:02, time: 1.212, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1378, s0.loss_cls: 0.1034, s0.acc: 96.1165, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1681, s1.loss_cls: 0.0478, s1.acc: 96.3737, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0801, s2.loss_cls: 0.0251, s2.acc: 96.0984, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0383, loss: 0.8167 2022-09-16 01:26:49,595 - mmdet - INFO - Epoch [30][3000/7330] lr: 1.000e-05, eta: 16:31:59, time: 1.210, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1417, s0.loss_cls: 0.1033, s0.acc: 95.9927, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1683, s1.loss_cls: 0.0476, s1.acc: 96.3031, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0798, s2.loss_cls: 0.0250, s2.acc: 96.0365, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0381, loss: 0.8222 2022-09-16 01:27:50,706 - mmdet - INFO - Epoch [30][3050/7330] lr: 1.000e-05, eta: 16:30:57, time: 1.223, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1351, s0.loss_cls: 0.1064, s0.acc: 95.9585, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1715, s1.loss_cls: 0.0497, s1.acc: 96.2089, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0819, s2.loss_cls: 0.0257, s2.acc: 96.0243, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0392, loss: 0.8327 2022-09-16 01:28:51,448 - mmdet - INFO - Epoch [30][3100/7330] lr: 1.000e-05, eta: 16:29:54, time: 1.214, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1358, s0.loss_cls: 0.1012, s0.acc: 96.1711, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1737, s1.loss_cls: 0.0480, s1.acc: 96.4362, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0824, s2.loss_cls: 0.0248, s2.acc: 96.2299, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0395, loss: 0.8182 2022-09-16 01:29:51,910 - mmdet - INFO - Epoch [30][3150/7330] lr: 1.000e-05, eta: 16:28:51, time: 1.209, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1440, s0.loss_cls: 0.1043, s0.acc: 96.0876, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1721, s1.loss_cls: 0.0486, s1.acc: 96.3389, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0821, s2.loss_cls: 0.0257, s2.acc: 96.0685, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0391, loss: 0.8369 2022-09-16 01:30:52,974 - mmdet - INFO - Epoch [30][3200/7330] lr: 1.000e-05, eta: 16:27:49, time: 1.222, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1410, s0.loss_cls: 0.1034, s0.acc: 96.0767, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1677, s1.loss_cls: 0.0480, s1.acc: 96.3358, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0801, s2.loss_cls: 0.0250, s2.acc: 96.1378, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0382, loss: 0.8245 2022-09-16 01:31:54,684 - mmdet - INFO - Epoch [30][3250/7330] lr: 1.000e-05, eta: 16:26:48, time: 1.234, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1459, s0.loss_cls: 0.1080, s0.acc: 95.9082, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1728, s1.loss_cls: 0.0515, s1.acc: 96.1508, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0816, s2.loss_cls: 0.0269, s2.acc: 95.8551, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0389, loss: 0.8487 2022-09-16 01:32:56,783 - mmdet - INFO - Epoch [30][3300/7330] lr: 1.000e-05, eta: 16:25:47, time: 1.242, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1377, s0.loss_cls: 0.1033, s0.acc: 96.0134, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1680, s1.loss_cls: 0.0477, s1.acc: 96.3171, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0809, s2.loss_cls: 0.0248, s2.acc: 96.1135, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0385, loss: 0.8163 2022-09-16 01:33:57,937 - mmdet - INFO - Epoch [30][3350/7330] lr: 1.000e-05, eta: 16:24:44, time: 1.222, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1358, s0.loss_cls: 0.0996, s0.acc: 96.1985, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1702, s1.loss_cls: 0.0463, s1.acc: 96.4433, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0807, s2.loss_cls: 0.0238, s2.acc: 96.2971, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0383, loss: 0.8055 2022-09-16 01:34:59,602 - mmdet - INFO - Epoch [30][3400/7330] lr: 1.000e-05, eta: 16:23:43, time: 1.234, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1410, s0.loss_cls: 0.1027, s0.acc: 96.1367, s0.loss_bbox: 0.0624, s0.loss_mask: 0.1725, s1.loss_cls: 0.0481, s1.acc: 96.3909, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0820, s2.loss_cls: 0.0249, s2.acc: 96.1818, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0391, loss: 0.8345 2022-09-16 01:36:00,719 - mmdet - INFO - Epoch [30][3450/7330] lr: 1.000e-05, eta: 16:22:41, time: 1.222, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1370, s0.loss_cls: 0.1042, s0.acc: 96.1165, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1679, s1.loss_cls: 0.0481, s1.acc: 96.3838, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0802, s2.loss_cls: 0.0250, s2.acc: 96.1573, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0383, loss: 0.8143 2022-09-16 01:37:02,326 - mmdet - INFO - Epoch [30][3500/7330] lr: 1.000e-05, eta: 16:21:39, time: 1.232, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1386, s0.loss_cls: 0.1009, s0.acc: 96.1082, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1682, s1.loss_cls: 0.0474, s1.acc: 96.3269, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0796, s2.loss_cls: 0.0248, s2.acc: 96.0818, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0379, loss: 0.8146 2022-09-16 01:38:04,683 - mmdet - INFO - Epoch [30][3550/7330] lr: 1.000e-05, eta: 16:20:38, time: 1.247, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1358, s0.loss_cls: 0.1005, s0.acc: 96.1509, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1700, s1.loss_cls: 0.0460, s1.acc: 96.4855, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0813, s2.loss_cls: 0.0239, s2.acc: 96.3045, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0390, loss: 0.8171 2022-09-16 01:39:06,077 - mmdet - INFO - Epoch [30][3600/7330] lr: 1.000e-05, eta: 16:19:37, time: 1.228, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1388, s0.loss_cls: 0.1050, s0.acc: 96.0222, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1718, s1.loss_cls: 0.0490, s1.acc: 96.3151, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0813, s2.loss_cls: 0.0255, s2.acc: 96.1329, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0388, loss: 0.8295 2022-09-16 01:40:06,564 - mmdet - INFO - Epoch [30][3650/7330] lr: 1.000e-05, eta: 16:18:34, time: 1.210, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0985, s0.acc: 96.3132, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1678, s1.loss_cls: 0.0453, s1.acc: 96.5871, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0807, s2.loss_cls: 0.0235, s2.acc: 96.3919, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0384, loss: 0.7971 2022-09-16 01:41:06,532 - mmdet - INFO - Epoch [30][3700/7330] lr: 1.000e-05, eta: 16:17:30, time: 1.199, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1025, s0.acc: 96.0996, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1697, s1.loss_cls: 0.0477, s1.acc: 96.4293, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0812, s2.loss_cls: 0.0246, s2.acc: 96.2347, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0390, loss: 0.8191 2022-09-16 01:42:07,458 - mmdet - INFO - Epoch [30][3750/7330] lr: 1.000e-05, eta: 16:16:28, time: 1.218, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1305, s0.loss_cls: 0.1040, s0.acc: 96.0603, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1710, s1.loss_cls: 0.0486, s1.acc: 96.2894, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0817, s2.loss_cls: 0.0252, s2.acc: 96.1351, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0390, loss: 0.8201 2022-09-16 01:43:07,790 - mmdet - INFO - Epoch [30][3800/7330] lr: 1.000e-05, eta: 16:15:25, time: 1.207, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1010, s0.acc: 96.1370, s0.loss_bbox: 0.0558, s0.loss_mask: 0.1612, s1.loss_cls: 0.0471, s1.acc: 96.4496, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0771, s2.loss_cls: 0.0243, s2.acc: 96.2226, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0370, loss: 0.7941 2022-09-16 01:44:08,553 - mmdet - INFO - Epoch [30][3850/7330] lr: 1.000e-05, eta: 16:14:22, time: 1.216, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1337, s0.loss_cls: 0.1002, s0.acc: 96.2061, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1721, s1.loss_cls: 0.0478, s1.acc: 96.3979, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0819, s2.loss_cls: 0.0253, s2.acc: 96.0109, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0389, loss: 0.8154 2022-09-16 01:45:09,477 - mmdet - INFO - Epoch [30][3900/7330] lr: 1.000e-05, eta: 16:13:20, time: 1.218, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1387, s0.loss_cls: 0.0984, s0.acc: 96.2725, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1686, s1.loss_cls: 0.0456, s1.acc: 96.5538, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0802, s2.loss_cls: 0.0241, s2.acc: 96.3033, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0383, loss: 0.8027 2022-09-16 01:46:10,969 - mmdet - INFO - Epoch [30][3950/7330] lr: 1.000e-05, eta: 16:12:18, time: 1.230, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1349, s0.loss_cls: 0.0990, s0.acc: 96.2212, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1695, s1.loss_cls: 0.0457, s1.acc: 96.5366, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0811, s2.loss_cls: 0.0232, s2.acc: 96.4680, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0389, loss: 0.8065 2022-09-16 01:47:13,733 - mmdet - INFO - Epoch [30][4000/7330] lr: 1.000e-05, eta: 16:11:18, time: 1.255, data_time: 0.031, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1381, s0.loss_cls: 0.1009, s0.acc: 96.1418, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1653, s1.loss_cls: 0.0477, s1.acc: 96.3512, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0792, s2.loss_cls: 0.0247, s2.acc: 96.1349, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0377, loss: 0.8083 2022-09-16 01:48:14,727 - mmdet - INFO - Epoch [30][4050/7330] lr: 1.000e-05, eta: 16:10:15, time: 1.219, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1068, s0.acc: 95.9719, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1717, s1.loss_cls: 0.0497, s1.acc: 96.2500, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0822, s2.loss_cls: 0.0256, s2.acc: 96.1125, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0391, loss: 0.8344 2022-09-16 01:49:15,978 - mmdet - INFO - Epoch [30][4100/7330] lr: 1.000e-05, eta: 16:09:14, time: 1.226, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1397, s0.loss_cls: 0.1033, s0.acc: 96.1118, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1688, s1.loss_cls: 0.0475, s1.acc: 96.4664, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0808, s2.loss_cls: 0.0247, s2.acc: 96.2509, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0386, loss: 0.8148 2022-09-16 01:50:17,326 - mmdet - INFO - Epoch [30][4150/7330] lr: 1.000e-05, eta: 16:08:12, time: 1.227, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1350, s0.loss_cls: 0.0988, s0.acc: 96.2539, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1656, s1.loss_cls: 0.0457, s1.acc: 96.5336, s1.loss_bbox: 0.0702, s1.loss_mask: 0.0792, s2.loss_cls: 0.0234, s2.acc: 96.3578, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0381, loss: 0.7963 2022-09-16 01:51:18,402 - mmdet - INFO - Epoch [30][4200/7330] lr: 1.000e-05, eta: 16:07:09, time: 1.222, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1396, s0.loss_cls: 0.0997, s0.acc: 96.1765, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1763, s1.loss_cls: 0.0466, s1.acc: 96.4536, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0839, s2.loss_cls: 0.0244, s2.acc: 96.2187, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0396, loss: 0.8316 2022-09-16 01:52:19,286 - mmdet - INFO - Epoch [30][4250/7330] lr: 1.000e-05, eta: 16:06:07, time: 1.218, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1347, s0.loss_cls: 0.0996, s0.acc: 96.2854, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1650, s1.loss_cls: 0.0463, s1.acc: 96.5705, s1.loss_bbox: 0.0687, s1.loss_mask: 0.0783, s2.loss_cls: 0.0240, s2.acc: 96.3451, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0373, loss: 0.7941 2022-09-16 01:53:20,987 - mmdet - INFO - Epoch [30][4300/7330] lr: 1.000e-05, eta: 16:05:06, time: 1.234, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1410, s0.loss_cls: 0.0999, s0.acc: 96.1494, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1722, s1.loss_cls: 0.0469, s1.acc: 96.3876, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0820, s2.loss_cls: 0.0242, s2.acc: 96.2002, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0393, loss: 0.8266 2022-09-16 01:54:22,097 - mmdet - INFO - Epoch [30][4350/7330] lr: 1.000e-05, eta: 16:04:03, time: 1.222, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1388, s0.loss_cls: 0.0981, s0.acc: 96.2703, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1698, s1.loss_cls: 0.0450, s1.acc: 96.6160, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0812, s2.loss_cls: 0.0233, s2.acc: 96.4327, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0390, loss: 0.8081 2022-09-16 01:55:22,676 - mmdet - INFO - Epoch [30][4400/7330] lr: 1.000e-05, eta: 16:03:01, time: 1.212, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1389, s0.loss_cls: 0.0965, s0.acc: 96.4014, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1704, s1.loss_cls: 0.0447, s1.acc: 96.6657, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0813, s2.loss_cls: 0.0230, s2.acc: 96.5534, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0388, loss: 0.8015 2022-09-16 01:56:23,085 - mmdet - INFO - Epoch [30][4450/7330] lr: 1.000e-05, eta: 16:01:58, time: 1.208, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1469, s0.loss_cls: 0.1011, s0.acc: 96.1794, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1693, s1.loss_cls: 0.0475, s1.acc: 96.4753, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0807, s2.loss_cls: 0.0244, s2.acc: 96.2367, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0382, loss: 0.8190 2022-09-16 01:57:23,306 - mmdet - INFO - Epoch [30][4500/7330] lr: 1.000e-05, eta: 16:00:55, time: 1.204, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1380, s0.loss_cls: 0.1038, s0.acc: 96.0693, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1751, s1.loss_cls: 0.0485, s1.acc: 96.3267, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0833, s2.loss_cls: 0.0253, s2.acc: 96.1213, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0397, loss: 0.8392 2022-09-16 01:58:23,745 - mmdet - INFO - Epoch [30][4550/7330] lr: 1.000e-05, eta: 15:59:52, time: 1.210, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1339, s0.loss_cls: 0.1028, s0.acc: 96.1558, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1651, s1.loss_cls: 0.0484, s1.acc: 96.3979, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0788, s2.loss_cls: 0.0249, s2.acc: 96.2009, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0376, loss: 0.8021 2022-09-16 01:59:24,619 - mmdet - INFO - Epoch [30][4600/7330] lr: 1.000e-05, eta: 15:58:49, time: 1.218, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1387, s0.loss_cls: 0.1046, s0.acc: 96.0000, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1706, s1.loss_cls: 0.0490, s1.acc: 96.2082, s1.loss_bbox: 0.0758, s1.loss_mask: 0.0811, s2.loss_cls: 0.0252, s2.acc: 96.0519, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0387, loss: 0.8333 2022-09-16 02:00:30,270 - mmdet - INFO - Epoch [30][4650/7330] lr: 1.000e-05, eta: 15:57:52, time: 1.312, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1356, s0.loss_cls: 0.1064, s0.acc: 95.9380, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1736, s1.loss_cls: 0.0492, s1.acc: 96.2517, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0825, s2.loss_cls: 0.0257, s2.acc: 96.0267, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0393, loss: 0.8358 2022-09-16 02:01:30,979 - mmdet - INFO - Epoch [30][4700/7330] lr: 1.000e-05, eta: 15:56:50, time: 1.214, data_time: 0.029, memory: 64752, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1430, s0.loss_cls: 0.1025, s0.acc: 96.1252, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1711, s1.loss_cls: 0.0473, s1.acc: 96.4662, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0814, s2.loss_cls: 0.0247, s2.acc: 96.2707, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0386, loss: 0.8294 2022-09-16 02:02:31,487 - mmdet - INFO - Epoch [30][4750/7330] lr: 1.000e-05, eta: 15:55:47, time: 1.211, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1384, s0.loss_cls: 0.1000, s0.acc: 96.0991, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1736, s1.loss_cls: 0.0472, s1.acc: 96.3214, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0826, s2.loss_cls: 0.0246, s2.acc: 96.0140, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0393, loss: 0.8218 2022-09-16 02:03:32,654 - mmdet - INFO - Epoch [30][4800/7330] lr: 1.000e-05, eta: 15:54:45, time: 1.223, data_time: 0.025, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1427, s0.loss_cls: 0.1029, s0.acc: 96.0701, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1741, s1.loss_cls: 0.0478, s1.acc: 96.3058, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0830, s2.loss_cls: 0.0246, s2.acc: 96.1512, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0397, loss: 0.8377 2022-09-16 02:04:33,654 - mmdet - INFO - Epoch [30][4850/7330] lr: 1.000e-05, eta: 15:53:43, time: 1.220, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1373, s0.loss_cls: 0.0972, s0.acc: 96.2808, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1655, s1.loss_cls: 0.0450, s1.acc: 96.5535, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0791, s2.loss_cls: 0.0235, s2.acc: 96.3769, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0379, loss: 0.7947 2022-09-16 02:05:34,265 - mmdet - INFO - Epoch [30][4900/7330] lr: 1.000e-05, eta: 15:52:40, time: 1.212, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1351, s0.loss_cls: 0.0963, s0.acc: 96.3821, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1643, s1.loss_cls: 0.0450, s1.acc: 96.6362, s1.loss_bbox: 0.0691, s1.loss_mask: 0.0785, s2.loss_cls: 0.0238, s2.acc: 96.3726, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0374, loss: 0.7845 2022-09-16 02:06:35,082 - mmdet - INFO - Epoch [30][4950/7330] lr: 1.000e-05, eta: 15:51:38, time: 1.216, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1426, s0.loss_cls: 0.1082, s0.acc: 95.8726, s0.loss_bbox: 0.0637, s0.loss_mask: 0.1729, s1.loss_cls: 0.0507, s1.acc: 96.1419, s1.loss_bbox: 0.0778, s1.loss_mask: 0.0824, s2.loss_cls: 0.0266, s2.acc: 95.8445, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0391, loss: 0.8556 2022-09-16 02:07:36,507 - mmdet - INFO - Epoch [30][5000/7330] lr: 1.000e-05, eta: 15:50:36, time: 1.229, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1002, s0.acc: 96.1670, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1725, s1.loss_cls: 0.0466, s1.acc: 96.4554, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0824, s2.loss_cls: 0.0242, s2.acc: 96.2796, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0392, loss: 0.8249 2022-09-16 02:08:37,123 - mmdet - INFO - Epoch [30][5050/7330] lr: 1.000e-05, eta: 15:49:33, time: 1.212, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1368, s0.loss_cls: 0.1118, s0.acc: 95.7612, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1749, s1.loss_cls: 0.0519, s1.acc: 96.0635, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0827, s2.loss_cls: 0.0268, s2.acc: 95.8515, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0393, loss: 0.8578 2022-09-16 02:09:38,057 - mmdet - INFO - Epoch [30][5100/7330] lr: 1.000e-05, eta: 15:48:31, time: 1.219, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1366, s0.loss_cls: 0.1039, s0.acc: 96.0476, s0.loss_bbox: 0.0626, s0.loss_mask: 0.1718, s1.loss_cls: 0.0480, s1.acc: 96.3307, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0817, s2.loss_cls: 0.0248, s2.acc: 96.1170, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0388, loss: 0.8321 2022-09-16 02:10:39,095 - mmdet - INFO - Epoch [30][5150/7330] lr: 1.000e-05, eta: 15:47:29, time: 1.221, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1071, s0.acc: 95.9492, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1742, s1.loss_cls: 0.0500, s1.acc: 96.2633, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0828, s2.loss_cls: 0.0258, s2.acc: 96.0203, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0392, loss: 0.8426 2022-09-16 02:11:40,165 - mmdet - INFO - Epoch [30][5200/7330] lr: 1.000e-05, eta: 15:46:27, time: 1.221, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1419, s0.loss_cls: 0.0975, s0.acc: 96.3621, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1669, s1.loss_cls: 0.0447, s1.acc: 96.6623, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0795, s2.loss_cls: 0.0231, s2.acc: 96.4339, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0378, loss: 0.8096 2022-09-16 02:12:40,981 - mmdet - INFO - Epoch [30][5250/7330] lr: 1.000e-05, eta: 15:45:24, time: 1.216, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1331, s0.loss_cls: 0.0979, s0.acc: 96.2842, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1682, s1.loss_cls: 0.0465, s1.acc: 96.5422, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0801, s2.loss_cls: 0.0242, s2.acc: 96.2293, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0380, loss: 0.7976 2022-09-16 02:13:42,551 - mmdet - INFO - Epoch [30][5300/7330] lr: 1.000e-05, eta: 15:44:23, time: 1.232, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1379, s0.loss_cls: 0.1015, s0.acc: 96.1240, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1722, s1.loss_cls: 0.0470, s1.acc: 96.4720, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0824, s2.loss_cls: 0.0246, s2.acc: 96.2080, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0391, loss: 0.8247 2022-09-16 02:14:43,625 - mmdet - INFO - Epoch [30][5350/7330] lr: 1.000e-05, eta: 15:43:20, time: 1.221, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1038, s0.acc: 96.0916, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1758, s1.loss_cls: 0.0485, s1.acc: 96.4001, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0833, s2.loss_cls: 0.0251, s2.acc: 96.2234, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0398, loss: 0.8368 2022-09-16 02:15:44,197 - mmdet - INFO - Epoch [30][5400/7330] lr: 1.000e-05, eta: 15:42:18, time: 1.211, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1416, s0.loss_cls: 0.0947, s0.acc: 96.3621, s0.loss_bbox: 0.0558, s0.loss_mask: 0.1677, s1.loss_cls: 0.0436, s1.acc: 96.6295, s1.loss_bbox: 0.0670, s1.loss_mask: 0.0800, s2.loss_cls: 0.0228, s2.acc: 96.4649, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0379, loss: 0.7917 2022-09-16 02:16:45,885 - mmdet - INFO - Epoch [30][5450/7330] lr: 1.000e-05, eta: 15:41:16, time: 1.233, data_time: 0.030, memory: 64752, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0235, loss_semantic_seg: 0.1350, s0.loss_cls: 0.1084, s0.acc: 95.8306, s0.loss_bbox: 0.0645, s0.loss_mask: 0.1794, s1.loss_cls: 0.0514, s1.acc: 96.0702, s1.loss_bbox: 0.0772, s1.loss_mask: 0.0852, s2.loss_cls: 0.0264, s2.acc: 95.8316, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0404, loss: 0.8582 2022-09-16 02:17:46,672 - mmdet - INFO - Epoch [30][5500/7330] lr: 1.000e-05, eta: 15:40:14, time: 1.216, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1374, s0.loss_cls: 0.0992, s0.acc: 96.2444, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1673, s1.loss_cls: 0.0470, s1.acc: 96.3988, s1.loss_bbox: 0.0683, s1.loss_mask: 0.0796, s2.loss_cls: 0.0241, s2.acc: 96.2472, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0378, loss: 0.7988 2022-09-16 02:18:47,382 - mmdet - INFO - Epoch [30][5550/7330] lr: 1.000e-05, eta: 15:39:11, time: 1.214, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1403, s0.loss_cls: 0.1096, s0.acc: 95.8518, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1770, s1.loss_cls: 0.0505, s1.acc: 96.1710, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0848, s2.loss_cls: 0.0261, s2.acc: 95.9778, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0404, loss: 0.8593 2022-09-16 02:19:48,357 - mmdet - INFO - Epoch [30][5600/7330] lr: 1.000e-05, eta: 15:38:09, time: 1.220, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1389, s0.loss_cls: 0.1050, s0.acc: 96.0825, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1679, s1.loss_cls: 0.0493, s1.acc: 96.3158, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0808, s2.loss_cls: 0.0253, s2.acc: 96.1322, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0386, loss: 0.8188 2022-09-16 02:20:49,327 - mmdet - INFO - Epoch [30][5650/7330] lr: 1.000e-05, eta: 15:37:07, time: 1.219, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1379, s0.loss_cls: 0.1069, s0.acc: 95.9219, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1782, s1.loss_cls: 0.0502, s1.acc: 96.1515, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0852, s2.loss_cls: 0.0261, s2.acc: 95.9218, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0404, loss: 0.8534 2022-09-16 02:21:50,928 - mmdet - INFO - Epoch [30][5700/7330] lr: 1.000e-05, eta: 15:36:05, time: 1.233, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1405, s0.loss_cls: 0.0976, s0.acc: 96.2964, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1678, s1.loss_cls: 0.0452, s1.acc: 96.7076, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0798, s2.loss_cls: 0.0237, s2.acc: 96.4832, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0379, loss: 0.8069 2022-09-16 02:22:52,059 - mmdet - INFO - Epoch [30][5750/7330] lr: 1.000e-05, eta: 15:35:03, time: 1.223, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1018, s0.acc: 96.1641, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1711, s1.loss_cls: 0.0472, s1.acc: 96.4719, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0822, s2.loss_cls: 0.0243, s2.acc: 96.2723, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0391, loss: 0.8178 2022-09-16 02:23:52,943 - mmdet - INFO - Epoch [30][5800/7330] lr: 1.000e-05, eta: 15:34:01, time: 1.218, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1357, s0.loss_cls: 0.1008, s0.acc: 96.1921, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1661, s1.loss_cls: 0.0471, s1.acc: 96.4634, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0798, s2.loss_cls: 0.0248, s2.acc: 96.2182, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0379, loss: 0.8024 2022-09-16 02:24:53,986 - mmdet - INFO - Epoch [30][5850/7330] lr: 1.000e-05, eta: 15:32:59, time: 1.220, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1393, s0.loss_cls: 0.1011, s0.acc: 96.1733, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1713, s1.loss_cls: 0.0476, s1.acc: 96.3352, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0814, s2.loss_cls: 0.0249, s2.acc: 96.2151, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0390, loss: 0.8195 2022-09-16 02:25:56,023 - mmdet - INFO - Epoch [30][5900/7330] lr: 1.000e-05, eta: 15:31:58, time: 1.241, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1351, s0.loss_cls: 0.1050, s0.acc: 96.0010, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1744, s1.loss_cls: 0.0502, s1.acc: 96.2321, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0828, s2.loss_cls: 0.0260, s2.acc: 96.0197, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0393, loss: 0.8341 2022-09-16 02:26:58,004 - mmdet - INFO - Epoch [30][5950/7330] lr: 1.000e-05, eta: 15:30:57, time: 1.239, data_time: 0.016, memory: 64752, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1439, s0.loss_cls: 0.0964, s0.acc: 96.3467, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1658, s1.loss_cls: 0.0450, s1.acc: 96.6484, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0790, s2.loss_cls: 0.0236, s2.acc: 96.4422, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0375, loss: 0.7999 2022-09-16 02:27:59,244 - mmdet - INFO - Epoch [30][6000/7330] lr: 1.000e-05, eta: 15:29:55, time: 1.225, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1395, s0.loss_cls: 0.1061, s0.acc: 95.9854, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1691, s1.loss_cls: 0.0488, s1.acc: 96.3538, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0805, s2.loss_cls: 0.0252, s2.acc: 96.1865, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0385, loss: 0.8320 2022-09-16 02:29:00,050 - mmdet - INFO - Epoch [30][6050/7330] lr: 1.000e-05, eta: 15:28:52, time: 1.216, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1382, s0.loss_cls: 0.1016, s0.acc: 96.2126, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1662, s1.loss_cls: 0.0463, s1.acc: 96.5028, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0790, s2.loss_cls: 0.0242, s2.acc: 96.3760, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0376, loss: 0.8082 2022-09-16 02:30:01,128 - mmdet - INFO - Epoch [30][6100/7330] lr: 1.000e-05, eta: 15:27:50, time: 1.221, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1406, s0.loss_cls: 0.1059, s0.acc: 95.9998, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1712, s1.loss_cls: 0.0500, s1.acc: 96.2215, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0819, s2.loss_cls: 0.0260, s2.acc: 96.0009, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0390, loss: 0.8376 2022-09-16 02:31:02,555 - mmdet - INFO - Epoch [30][6150/7330] lr: 1.000e-05, eta: 15:26:49, time: 1.229, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1388, s0.loss_cls: 0.0991, s0.acc: 96.2004, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1672, s1.loss_cls: 0.0461, s1.acc: 96.4873, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0798, s2.loss_cls: 0.0241, s2.acc: 96.3066, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0381, loss: 0.8011 2022-09-16 02:32:03,897 - mmdet - INFO - Epoch [30][6200/7330] lr: 1.000e-05, eta: 15:25:47, time: 1.227, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1377, s0.loss_cls: 0.1049, s0.acc: 96.0872, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1687, s1.loss_cls: 0.0499, s1.acc: 96.3227, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0807, s2.loss_cls: 0.0261, s2.acc: 96.0141, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0387, loss: 0.8272 2022-09-16 02:33:03,914 - mmdet - INFO - Epoch [30][6250/7330] lr: 1.000e-05, eta: 15:24:44, time: 1.200, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1421, s0.loss_cls: 0.1033, s0.acc: 96.0977, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1696, s1.loss_cls: 0.0481, s1.acc: 96.3722, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0812, s2.loss_cls: 0.0246, s2.acc: 96.2760, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0388, loss: 0.8196 2022-09-16 02:34:04,234 - mmdet - INFO - Epoch [30][6300/7330] lr: 1.000e-05, eta: 15:23:41, time: 1.206, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0994, s0.acc: 96.1648, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1718, s1.loss_cls: 0.0464, s1.acc: 96.4546, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0819, s2.loss_cls: 0.0243, s2.acc: 96.1557, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0392, loss: 0.8120 2022-09-16 02:35:05,713 - mmdet - INFO - Epoch [30][6350/7330] lr: 1.000e-05, eta: 15:22:39, time: 1.230, data_time: 0.026, memory: 64752, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1354, s0.loss_cls: 0.1075, s0.acc: 95.9312, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1716, s1.loss_cls: 0.0502, s1.acc: 96.2341, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0818, s2.loss_cls: 0.0263, s2.acc: 95.9731, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0389, loss: 0.8369 2022-09-16 02:36:07,996 - mmdet - INFO - Epoch [30][6400/7330] lr: 1.000e-05, eta: 15:21:38, time: 1.246, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1388, s0.loss_cls: 0.1065, s0.acc: 96.0239, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1721, s1.loss_cls: 0.0496, s1.acc: 96.2925, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0818, s2.loss_cls: 0.0259, s2.acc: 96.1253, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0388, loss: 0.8396 2022-09-16 02:37:09,307 - mmdet - INFO - Epoch [30][6450/7330] lr: 1.000e-05, eta: 15:20:36, time: 1.226, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1387, s0.loss_cls: 0.0943, s0.acc: 96.4165, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1701, s1.loss_cls: 0.0435, s1.acc: 96.7176, s1.loss_bbox: 0.0679, s1.loss_mask: 0.0816, s2.loss_cls: 0.0230, s2.acc: 96.4587, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0390, loss: 0.7932 2022-09-16 02:38:10,255 - mmdet - INFO - Epoch [30][6500/7330] lr: 1.000e-05, eta: 15:19:34, time: 1.219, data_time: 0.028, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1478, s0.loss_cls: 0.1014, s0.acc: 96.0571, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1725, s1.loss_cls: 0.0474, s1.acc: 96.3216, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0823, s2.loss_cls: 0.0244, s2.acc: 96.1846, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0387, loss: 0.8325 2022-09-16 02:39:11,491 - mmdet - INFO - Epoch [30][6550/7330] lr: 1.000e-05, eta: 15:18:32, time: 1.220, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1426, s0.loss_cls: 0.1066, s0.acc: 96.0330, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1715, s1.loss_cls: 0.0505, s1.acc: 96.2795, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0816, s2.loss_cls: 0.0262, s2.acc: 96.0681, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0388, loss: 0.8435 2022-09-16 02:40:11,966 - mmdet - INFO - Epoch [30][6600/7330] lr: 1.000e-05, eta: 15:17:30, time: 1.214, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1329, s0.loss_cls: 0.1092, s0.acc: 95.8955, s0.loss_bbox: 0.0626, s0.loss_mask: 0.1731, s1.loss_cls: 0.0510, s1.acc: 96.1596, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0825, s2.loss_cls: 0.0266, s2.acc: 95.9212, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0391, loss: 0.8380 2022-09-16 02:41:13,990 - mmdet - INFO - Epoch [30][6650/7330] lr: 1.000e-05, eta: 15:16:29, time: 1.240, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1425, s0.loss_cls: 0.1064, s0.acc: 95.9307, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1706, s1.loss_cls: 0.0491, s1.acc: 96.2670, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0813, s2.loss_cls: 0.0258, s2.acc: 95.9998, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0389, loss: 0.8398 2022-09-16 02:42:14,555 - mmdet - INFO - Epoch [30][6700/7330] lr: 1.000e-05, eta: 15:15:26, time: 1.211, data_time: 0.020, memory: 64752, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1398, s0.loss_cls: 0.0975, s0.acc: 96.2856, s0.loss_bbox: 0.0561, s0.loss_mask: 0.1662, s1.loss_cls: 0.0448, s1.acc: 96.5883, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0788, s2.loss_cls: 0.0231, s2.acc: 96.3976, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0376, loss: 0.7950 2022-09-16 02:43:15,621 - mmdet - INFO - Epoch [30][6750/7330] lr: 1.000e-05, eta: 15:14:24, time: 1.222, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1425, s0.loss_cls: 0.1032, s0.acc: 96.1116, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1724, s1.loss_cls: 0.0480, s1.acc: 96.3815, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0824, s2.loss_cls: 0.0250, s2.acc: 96.1708, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0393, loss: 0.8323 2022-09-16 02:44:17,179 - mmdet - INFO - Epoch [30][6800/7330] lr: 1.000e-05, eta: 15:13:22, time: 1.231, data_time: 0.019, memory: 64752, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1085, s0.acc: 95.8831, s0.loss_bbox: 0.0631, s0.loss_mask: 0.1738, s1.loss_cls: 0.0508, s1.acc: 96.1158, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0829, s2.loss_cls: 0.0267, s2.acc: 95.8395, s2.loss_bbox: 0.0534, s2.loss_mask: 0.0394, loss: 0.8496 2022-09-16 02:45:17,503 - mmdet - INFO - Epoch [30][6850/7330] lr: 1.000e-05, eta: 15:12:19, time: 1.206, data_time: 0.018, memory: 64752, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1034, s0.acc: 96.0955, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1700, s1.loss_cls: 0.0480, s1.acc: 96.3451, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0814, s2.loss_cls: 0.0246, s2.acc: 96.2106, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0389, loss: 0.8231 2022-09-16 02:46:20,093 - mmdet - INFO - Epoch [30][6900/7330] lr: 1.000e-05, eta: 15:11:19, time: 1.252, data_time: 0.022, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1407, s0.loss_cls: 0.1056, s0.acc: 96.0339, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1738, s1.loss_cls: 0.0492, s1.acc: 96.2846, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0820, s2.loss_cls: 0.0254, s2.acc: 96.1304, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0390, loss: 0.8383 2022-09-16 02:47:21,516 - mmdet - INFO - Epoch [30][6950/7330] lr: 1.000e-05, eta: 15:10:17, time: 1.229, data_time: 0.021, memory: 64752, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1346, s0.loss_cls: 0.1069, s0.acc: 95.9722, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1698, s1.loss_cls: 0.0503, s1.acc: 96.2634, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0804, s2.loss_cls: 0.0260, s2.acc: 96.0366, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0383, loss: 0.8289 2022-09-16 02:48:22,783 - mmdet - INFO - Epoch [30][7000/7330] lr: 1.000e-05, eta: 15:09:15, time: 1.225, data_time: 0.027, memory: 64752, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1340, s0.loss_cls: 0.1040, s0.acc: 96.0471, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1726, s1.loss_cls: 0.0489, s1.acc: 96.2952, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0817, s2.loss_cls: 0.0258, s2.acc: 96.0639, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0390, loss: 0.8282 2022-09-16 02:49:24,192 - mmdet - INFO - Epoch [30][7050/7330] lr: 1.000e-05, eta: 15:08:14, time: 1.228, data_time: 0.023, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1370, s0.loss_cls: 0.1032, s0.acc: 96.0830, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1673, s1.loss_cls: 0.0475, s1.acc: 96.4348, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0797, s2.loss_cls: 0.0247, s2.acc: 96.2121, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0379, loss: 0.8192 2022-09-16 02:50:25,965 - mmdet - INFO - Epoch [30][7100/7330] lr: 1.000e-05, eta: 15:07:12, time: 1.235, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1356, s0.loss_cls: 0.0998, s0.acc: 96.2249, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1687, s1.loss_cls: 0.0461, s1.acc: 96.5361, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0809, s2.loss_cls: 0.0242, s2.acc: 96.2894, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0385, loss: 0.8068 2022-09-16 02:51:26,654 - mmdet - INFO - Epoch [30][7150/7330] lr: 1.000e-05, eta: 15:06:10, time: 1.214, data_time: 0.017, memory: 64752, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1327, s0.loss_cls: 0.1003, s0.acc: 96.2415, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1665, s1.loss_cls: 0.0468, s1.acc: 96.4770, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0796, s2.loss_cls: 0.0242, s2.acc: 96.3084, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0380, loss: 0.7951 2022-09-16 02:52:27,938 - mmdet - INFO - Epoch [30][7200/7330] lr: 1.000e-05, eta: 15:05:08, time: 1.226, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1350, s0.loss_cls: 0.1101, s0.acc: 95.7886, s0.loss_bbox: 0.0638, s0.loss_mask: 0.1760, s1.loss_cls: 0.0507, s1.acc: 96.0896, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0839, s2.loss_cls: 0.0261, s2.acc: 95.8985, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0400, loss: 0.8541 2022-09-16 02:53:28,871 - mmdet - INFO - Epoch [30][7250/7330] lr: 1.000e-05, eta: 15:04:06, time: 1.219, data_time: 0.024, memory: 64752, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1372, s0.loss_cls: 0.1051, s0.acc: 96.0667, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1729, s1.loss_cls: 0.0488, s1.acc: 96.3612, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0827, s2.loss_cls: 0.0259, s2.acc: 96.0801, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0393, loss: 0.8389 2022-09-16 02:54:28,552 - mmdet - INFO - Epoch [30][7300/7330] lr: 1.000e-05, eta: 15:03:02, time: 1.194, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1401, s0.loss_cls: 0.1021, s0.acc: 96.1465, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1680, s1.loss_cls: 0.0480, s1.acc: 96.3535, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0801, s2.loss_cls: 0.0253, s2.acc: 96.0678, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0381, loss: 0.8220 2022-09-16 02:55:15,325 - mmdet - INFO - Saving checkpoint at 30 epochs 2022-09-16 02:58:24,242 - mmdet - INFO - Evaluating bbox... 2022-09-16 02:59:05,424 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.586 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.771 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.645 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.442 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.619 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.723 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.749 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.749 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.749 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.623 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.783 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.874 2022-09-16 02:59:05,424 - mmdet - INFO - Evaluating segm... 2022-09-16 02:59:55,733 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.509 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.752 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.557 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.328 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.539 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.694 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.511 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.683 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.790 2022-09-16 02:59:56,665 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 02:59:56,666 - mmdet - INFO - Epoch(val) [30][313] bbox_mAP: 0.5860, bbox_mAP_50: 0.7710, bbox_mAP_75: 0.6450, bbox_mAP_s: 0.4420, bbox_mAP_m: 0.6190, bbox_mAP_l: 0.7230, bbox_mAP_copypaste: 0.586 0.771 0.645 0.442 0.619 0.723, segm_mAP: 0.5090, segm_mAP_50: 0.7520, segm_mAP_75: 0.5570, segm_mAP_s: 0.3280, segm_mAP_m: 0.5390, segm_mAP_l: 0.6940, segm_mAP_copypaste: 0.509 0.752 0.557 0.328 0.539 0.694 2022-09-16 03:01:52,794 - mmdet - INFO - Epoch [31][50/7330] lr: 1.000e-05, eta: 15:01:41, time: 2.322, data_time: 1.103, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1379, s0.loss_cls: 0.1040, s0.acc: 96.0540, s0.loss_bbox: 0.0611, s0.loss_mask: 0.1731, s1.loss_cls: 0.0480, s1.acc: 96.3075, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0828, s2.loss_cls: 0.0248, s2.acc: 96.1190, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0391, loss: 0.8345 2022-09-16 03:02:54,551 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 03:02:54,553 - mmdet - INFO - Epoch [31][100/7330] lr: 1.000e-05, eta: 15:00:40, time: 1.235, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1358, s0.loss_cls: 0.0975, s0.acc: 96.2896, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1641, s1.loss_cls: 0.0441, s1.acc: 96.6200, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0788, s2.loss_cls: 0.0231, s2.acc: 96.3834, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0377, loss: 0.7883 2022-09-16 03:03:56,042 - mmdet - INFO - Epoch [31][150/7330] lr: 1.000e-05, eta: 14:59:38, time: 1.230, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1369, s0.loss_cls: 0.1043, s0.acc: 96.0061, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1678, s1.loss_cls: 0.0489, s1.acc: 96.2322, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0795, s2.loss_cls: 0.0256, s2.acc: 96.0291, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0379, loss: 0.8193 2022-09-16 03:04:57,941 - mmdet - INFO - Epoch [31][200/7330] lr: 1.000e-05, eta: 14:58:37, time: 1.238, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1088, s0.acc: 95.8855, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1740, s1.loss_cls: 0.0504, s1.acc: 96.1653, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0831, s2.loss_cls: 0.0261, s2.acc: 95.9868, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0395, loss: 0.8440 2022-09-16 03:05:59,710 - mmdet - INFO - Epoch [31][250/7330] lr: 1.000e-05, eta: 14:57:36, time: 1.235, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1342, s0.loss_cls: 0.0995, s0.acc: 96.1980, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1684, s1.loss_cls: 0.0459, s1.acc: 96.5213, s1.loss_bbox: 0.0678, s1.loss_mask: 0.0797, s2.loss_cls: 0.0237, s2.acc: 96.3426, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0378, loss: 0.7967 2022-09-16 03:07:01,713 - mmdet - INFO - Epoch [31][300/7330] lr: 1.000e-05, eta: 14:56:35, time: 1.240, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1312, s0.loss_cls: 0.0983, s0.acc: 96.2544, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1647, s1.loss_cls: 0.0455, s1.acc: 96.4708, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0785, s2.loss_cls: 0.0238, s2.acc: 96.2919, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0375, loss: 0.7902 2022-09-16 03:08:02,251 - mmdet - INFO - Epoch [31][350/7330] lr: 1.000e-05, eta: 14:55:32, time: 1.211, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1419, s0.loss_cls: 0.1039, s0.acc: 96.0435, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1699, s1.loss_cls: 0.0484, s1.acc: 96.3202, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0812, s2.loss_cls: 0.0250, s2.acc: 96.1616, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0388, loss: 0.8292 2022-09-16 03:09:03,060 - mmdet - INFO - Epoch [31][400/7330] lr: 1.000e-05, eta: 14:54:30, time: 1.215, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1382, s0.loss_cls: 0.0998, s0.acc: 96.1729, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1728, s1.loss_cls: 0.0458, s1.acc: 96.4887, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0833, s2.loss_cls: 0.0238, s2.acc: 96.3383, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0399, loss: 0.8234 2022-09-16 03:10:03,200 - mmdet - INFO - Epoch [31][450/7330] lr: 1.000e-05, eta: 14:53:27, time: 1.204, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1400, s0.loss_cls: 0.0982, s0.acc: 96.2488, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1698, s1.loss_cls: 0.0459, s1.acc: 96.4975, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0811, s2.loss_cls: 0.0235, s2.acc: 96.3048, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0386, loss: 0.8088 2022-09-16 03:11:03,950 - mmdet - INFO - Epoch [31][500/7330] lr: 1.000e-05, eta: 14:52:24, time: 1.215, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1375, s0.loss_cls: 0.0986, s0.acc: 96.2776, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1675, s1.loss_cls: 0.0460, s1.acc: 96.5941, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0799, s2.loss_cls: 0.0235, s2.acc: 96.4157, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0385, loss: 0.8024 2022-09-16 03:12:05,468 - mmdet - INFO - Epoch [31][550/7330] lr: 1.000e-05, eta: 14:51:23, time: 1.230, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1380, s0.loss_cls: 0.1029, s0.acc: 96.0542, s0.loss_bbox: 0.0628, s0.loss_mask: 0.1677, s1.loss_cls: 0.0484, s1.acc: 96.3283, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0798, s2.loss_cls: 0.0249, s2.acc: 96.2329, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0380, loss: 0.8248 2022-09-16 03:13:06,569 - mmdet - INFO - Epoch [31][600/7330] lr: 1.000e-05, eta: 14:50:21, time: 1.222, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1334, s0.loss_cls: 0.1037, s0.acc: 96.0676, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1721, s1.loss_cls: 0.0486, s1.acc: 96.3061, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0821, s2.loss_cls: 0.0257, s2.acc: 96.0247, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0391, loss: 0.8302 2022-09-16 03:14:06,942 - mmdet - INFO - Epoch [31][650/7330] lr: 1.000e-05, eta: 14:49:18, time: 1.207, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1395, s0.loss_cls: 0.0990, s0.acc: 96.2549, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1725, s1.loss_cls: 0.0462, s1.acc: 96.4837, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0825, s2.loss_cls: 0.0246, s2.acc: 96.1548, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0388, loss: 0.8218 2022-09-16 03:15:08,333 - mmdet - INFO - Epoch [31][700/7330] lr: 1.000e-05, eta: 14:48:16, time: 1.227, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1266, s0.loss_cls: 0.0970, s0.acc: 96.3364, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1627, s1.loss_cls: 0.0448, s1.acc: 96.6207, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0775, s2.loss_cls: 0.0233, s2.acc: 96.4344, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0369, loss: 0.7752 2022-09-16 03:16:09,230 - mmdet - INFO - Epoch [31][750/7330] lr: 1.000e-05, eta: 14:47:14, time: 1.219, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1406, s0.loss_cls: 0.0996, s0.acc: 96.1926, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1657, s1.loss_cls: 0.0464, s1.acc: 96.4339, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0788, s2.loss_cls: 0.0244, s2.acc: 96.2095, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0376, loss: 0.8102 2022-09-16 03:17:10,922 - mmdet - INFO - Epoch [31][800/7330] lr: 1.000e-05, eta: 14:46:12, time: 1.234, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1406, s0.loss_cls: 0.1046, s0.acc: 96.0078, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1722, s1.loss_cls: 0.0487, s1.acc: 96.3187, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0815, s2.loss_cls: 0.0253, s2.acc: 96.0283, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0389, loss: 0.8365 2022-09-16 03:18:12,082 - mmdet - INFO - Epoch [31][850/7330] lr: 1.000e-05, eta: 14:45:11, time: 1.223, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1285, s0.loss_cls: 0.0999, s0.acc: 96.2288, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1684, s1.loss_cls: 0.0462, s1.acc: 96.5539, s1.loss_bbox: 0.0756, s1.loss_mask: 0.0806, s2.loss_cls: 0.0241, s2.acc: 96.2756, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0382, loss: 0.8102 2022-09-16 03:19:13,660 - mmdet - INFO - Epoch [31][900/7330] lr: 1.000e-05, eta: 14:44:09, time: 1.232, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1372, s0.loss_cls: 0.1046, s0.acc: 95.9587, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1738, s1.loss_cls: 0.0486, s1.acc: 96.2142, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0836, s2.loss_cls: 0.0254, s2.acc: 95.9730, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0400, loss: 0.8378 2022-09-16 03:20:14,926 - mmdet - INFO - Epoch [31][950/7330] lr: 1.000e-05, eta: 14:43:07, time: 1.225, data_time: 0.014, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1326, s0.loss_cls: 0.0985, s0.acc: 96.2920, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1651, s1.loss_cls: 0.0455, s1.acc: 96.5805, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0786, s2.loss_cls: 0.0235, s2.acc: 96.4177, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0375, loss: 0.7923 2022-09-16 03:21:15,618 - mmdet - INFO - Epoch [31][1000/7330] lr: 1.000e-05, eta: 14:42:05, time: 1.213, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1338, s0.loss_cls: 0.1036, s0.acc: 96.0974, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1721, s1.loss_cls: 0.0480, s1.acc: 96.3657, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0820, s2.loss_cls: 0.0249, s2.acc: 96.2182, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0390, loss: 0.8263 2022-09-16 03:22:16,578 - mmdet - INFO - Epoch [31][1050/7330] lr: 1.000e-05, eta: 14:41:03, time: 1.220, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1360, s0.loss_cls: 0.1038, s0.acc: 96.0623, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1699, s1.loss_cls: 0.0490, s1.acc: 96.3229, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0814, s2.loss_cls: 0.0258, s2.acc: 95.9985, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0390, loss: 0.8177 2022-09-16 03:23:18,174 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 03:23:18,175 - mmdet - INFO - Epoch [31][1100/7330] lr: 1.000e-05, eta: 14:40:01, time: 1.231, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1032, s0.acc: 96.0898, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1741, s1.loss_cls: 0.0482, s1.acc: 96.3021, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0835, s2.loss_cls: 0.0247, s2.acc: 96.1033, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0392, loss: 0.8328 2022-09-16 03:24:18,726 - mmdet - INFO - Epoch [31][1150/7330] lr: 1.000e-05, eta: 14:38:58, time: 1.211, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1381, s0.loss_cls: 0.1034, s0.acc: 96.0696, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1708, s1.loss_cls: 0.0484, s1.acc: 96.3613, s1.loss_bbox: 0.0759, s1.loss_mask: 0.0817, s2.loss_cls: 0.0252, s2.acc: 96.1555, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0389, loss: 0.8299 2022-09-16 03:25:19,643 - mmdet - INFO - Epoch [31][1200/7330] lr: 1.000e-05, eta: 14:37:56, time: 1.218, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1386, s0.loss_cls: 0.1014, s0.acc: 96.1426, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1669, s1.loss_cls: 0.0473, s1.acc: 96.3866, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0796, s2.loss_cls: 0.0242, s2.acc: 96.2757, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0379, loss: 0.8085 2022-09-16 03:26:21,801 - mmdet - INFO - Epoch [31][1250/7330] lr: 1.000e-05, eta: 14:36:55, time: 1.242, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1380, s0.loss_cls: 0.1056, s0.acc: 96.0134, s0.loss_bbox: 0.0611, s0.loss_mask: 0.1671, s1.loss_cls: 0.0497, s1.acc: 96.2527, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0794, s2.loss_cls: 0.0251, s2.acc: 96.2039, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0376, loss: 0.8200 2022-09-16 03:27:23,251 - mmdet - INFO - Epoch [31][1300/7330] lr: 1.000e-05, eta: 14:35:54, time: 1.229, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1339, s0.loss_cls: 0.1015, s0.acc: 96.1721, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1700, s1.loss_cls: 0.0468, s1.acc: 96.4502, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0814, s2.loss_cls: 0.0245, s2.acc: 96.2301, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0390, loss: 0.8150 2022-09-16 03:28:24,611 - mmdet - INFO - Epoch [31][1350/7330] lr: 1.000e-05, eta: 14:34:52, time: 1.228, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1314, s0.loss_cls: 0.1013, s0.acc: 96.1553, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1715, s1.loss_cls: 0.0464, s1.acc: 96.5032, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0815, s2.loss_cls: 0.0242, s2.acc: 96.2868, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0390, loss: 0.8160 2022-09-16 03:29:25,975 - mmdet - INFO - Epoch [31][1400/7330] lr: 1.000e-05, eta: 14:33:50, time: 1.227, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1382, s0.loss_cls: 0.0987, s0.acc: 96.2620, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1691, s1.loss_cls: 0.0451, s1.acc: 96.5714, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0807, s2.loss_cls: 0.0236, s2.acc: 96.4235, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0386, loss: 0.8031 2022-09-16 03:30:26,719 - mmdet - INFO - Epoch [31][1450/7330] lr: 1.000e-05, eta: 14:32:48, time: 1.215, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1370, s0.loss_cls: 0.1088, s0.acc: 95.9243, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1728, s1.loss_cls: 0.0499, s1.acc: 96.3278, s1.loss_bbox: 0.0758, s1.loss_mask: 0.0827, s2.loss_cls: 0.0261, s2.acc: 96.0381, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0392, loss: 0.8422 2022-09-16 03:31:27,414 - mmdet - INFO - Epoch [31][1500/7330] lr: 1.000e-05, eta: 14:31:45, time: 1.214, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1360, s0.loss_cls: 0.0982, s0.acc: 96.2783, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1700, s1.loss_cls: 0.0449, s1.acc: 96.5684, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0816, s2.loss_cls: 0.0236, s2.acc: 96.3124, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0390, loss: 0.8079 2022-09-16 03:32:28,854 - mmdet - INFO - Epoch [31][1550/7330] lr: 1.000e-05, eta: 14:30:44, time: 1.229, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1412, s0.loss_cls: 0.1112, s0.acc: 95.7847, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1691, s1.loss_cls: 0.0518, s1.acc: 96.1353, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0804, s2.loss_cls: 0.0268, s2.acc: 95.9027, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0384, loss: 0.8457 2022-09-16 03:33:30,194 - mmdet - INFO - Epoch [31][1600/7330] lr: 1.000e-05, eta: 14:29:42, time: 1.226, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1376, s0.loss_cls: 0.1035, s0.acc: 96.1104, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1690, s1.loss_cls: 0.0482, s1.acc: 96.3894, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0797, s2.loss_cls: 0.0247, s2.acc: 96.2363, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0378, loss: 0.8176 2022-09-16 03:34:32,248 - mmdet - INFO - Epoch [31][1650/7330] lr: 1.000e-05, eta: 14:28:41, time: 1.241, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1364, s0.loss_cls: 0.0975, s0.acc: 96.2786, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1670, s1.loss_cls: 0.0448, s1.acc: 96.6195, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0798, s2.loss_cls: 0.0235, s2.acc: 96.3661, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0383, loss: 0.7972 2022-09-16 03:35:34,441 - mmdet - INFO - Epoch [31][1700/7330] lr: 1.000e-05, eta: 14:27:40, time: 1.243, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1264, s0.loss_cls: 0.0984, s0.acc: 96.2598, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1690, s1.loss_cls: 0.0464, s1.acc: 96.5004, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0803, s2.loss_cls: 0.0238, s2.acc: 96.3169, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0383, loss: 0.7907 2022-09-16 03:36:35,215 - mmdet - INFO - Epoch [31][1750/7330] lr: 1.000e-05, eta: 14:26:37, time: 1.216, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1340, s0.loss_cls: 0.1008, s0.acc: 96.1746, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1653, s1.loss_cls: 0.0462, s1.acc: 96.5001, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0796, s2.loss_cls: 0.0244, s2.acc: 96.2604, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0378, loss: 0.8039 2022-09-16 03:37:36,435 - mmdet - INFO - Epoch [31][1800/7330] lr: 1.000e-05, eta: 14:25:36, time: 1.224, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1290, s0.loss_cls: 0.1072, s0.acc: 95.9744, s0.loss_bbox: 0.0620, s0.loss_mask: 0.1722, s1.loss_cls: 0.0490, s1.acc: 96.3414, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0822, s2.loss_cls: 0.0252, s2.acc: 96.1696, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0389, loss: 0.8285 2022-09-16 03:38:37,054 - mmdet - INFO - Epoch [31][1850/7330] lr: 1.000e-05, eta: 14:24:33, time: 1.212, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1374, s0.loss_cls: 0.1031, s0.acc: 96.1628, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1688, s1.loss_cls: 0.0485, s1.acc: 96.4317, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0808, s2.loss_cls: 0.0252, s2.acc: 96.2265, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0388, loss: 0.8151 2022-09-16 03:39:38,120 - mmdet - INFO - Epoch [31][1900/7330] lr: 1.000e-05, eta: 14:23:31, time: 1.221, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1409, s0.loss_cls: 0.1011, s0.acc: 96.1858, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1695, s1.loss_cls: 0.0470, s1.acc: 96.5085, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0807, s2.loss_cls: 0.0242, s2.acc: 96.3508, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0385, loss: 0.8179 2022-09-16 03:40:39,776 - mmdet - INFO - Epoch [31][1950/7330] lr: 1.000e-05, eta: 14:22:30, time: 1.232, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1360, s0.loss_cls: 0.1076, s0.acc: 95.8682, s0.loss_bbox: 0.0620, s0.loss_mask: 0.1749, s1.loss_cls: 0.0495, s1.acc: 96.2275, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0834, s2.loss_cls: 0.0261, s2.acc: 96.0418, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0397, loss: 0.8445 2022-09-16 03:41:40,388 - mmdet - INFO - Epoch [31][2000/7330] lr: 1.000e-05, eta: 14:21:27, time: 1.212, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1337, s0.loss_cls: 0.1031, s0.acc: 96.0090, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1703, s1.loss_cls: 0.0478, s1.acc: 96.2609, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0810, s2.loss_cls: 0.0250, s2.acc: 96.0551, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0386, loss: 0.8201 2022-09-16 03:42:39,998 - mmdet - INFO - Epoch [31][2050/7330] lr: 1.000e-05, eta: 14:20:24, time: 1.193, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1288, s0.loss_cls: 0.0967, s0.acc: 96.2275, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1706, s1.loss_cls: 0.0452, s1.acc: 96.4553, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0811, s2.loss_cls: 0.0237, s2.acc: 96.2805, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0386, loss: 0.7951 2022-09-16 03:43:40,837 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 03:43:40,842 - mmdet - INFO - Epoch [31][2100/7330] lr: 1.000e-05, eta: 14:19:22, time: 1.217, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1389, s0.loss_cls: 0.0995, s0.acc: 96.2405, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1667, s1.loss_cls: 0.0467, s1.acc: 96.4988, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0800, s2.loss_cls: 0.0246, s2.acc: 96.1769, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0382, loss: 0.8132 2022-09-16 03:44:41,996 - mmdet - INFO - Epoch [31][2150/7330] lr: 1.000e-05, eta: 14:18:20, time: 1.223, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1388, s0.loss_cls: 0.1045, s0.acc: 95.9888, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1696, s1.loss_cls: 0.0495, s1.acc: 96.1633, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0804, s2.loss_cls: 0.0254, s2.acc: 96.0053, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0383, loss: 0.8239 2022-09-16 03:45:42,793 - mmdet - INFO - Epoch [31][2200/7330] lr: 1.000e-05, eta: 14:17:17, time: 1.216, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1330, s0.loss_cls: 0.1014, s0.acc: 96.1763, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1711, s1.loss_cls: 0.0464, s1.acc: 96.5004, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0813, s2.loss_cls: 0.0239, s2.acc: 96.3059, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0386, loss: 0.8170 2022-09-16 03:46:43,855 - mmdet - INFO - Epoch [31][2250/7330] lr: 1.000e-05, eta: 14:16:15, time: 1.221, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1337, s0.loss_cls: 0.1005, s0.acc: 96.1191, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1745, s1.loss_cls: 0.0467, s1.acc: 96.4321, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0834, s2.loss_cls: 0.0246, s2.acc: 96.1805, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0396, loss: 0.8205 2022-09-16 03:47:45,295 - mmdet - INFO - Epoch [31][2300/7330] lr: 1.000e-05, eta: 14:15:14, time: 1.228, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1350, s0.loss_cls: 0.0988, s0.acc: 96.3018, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1687, s1.loss_cls: 0.0453, s1.acc: 96.6348, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0806, s2.loss_cls: 0.0235, s2.acc: 96.4594, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0385, loss: 0.8026 2022-09-16 03:48:46,859 - mmdet - INFO - Epoch [31][2350/7330] lr: 1.000e-05, eta: 14:14:12, time: 1.232, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1427, s0.loss_cls: 0.1057, s0.acc: 96.0066, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1785, s1.loss_cls: 0.0504, s1.acc: 96.2371, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0842, s2.loss_cls: 0.0261, s2.acc: 95.9635, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0398, loss: 0.8537 2022-09-16 03:49:47,733 - mmdet - INFO - Epoch [31][2400/7330] lr: 1.000e-05, eta: 14:13:10, time: 1.218, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1350, s0.loss_cls: 0.1013, s0.acc: 96.1660, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1701, s1.loss_cls: 0.0475, s1.acc: 96.3327, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0818, s2.loss_cls: 0.0248, s2.acc: 96.1282, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0393, loss: 0.8152 2022-09-16 03:50:49,173 - mmdet - INFO - Epoch [31][2450/7330] lr: 1.000e-05, eta: 14:12:08, time: 1.229, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1393, s0.loss_cls: 0.1001, s0.acc: 96.1848, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1708, s1.loss_cls: 0.0464, s1.acc: 96.4654, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0818, s2.loss_cls: 0.0242, s2.acc: 96.2751, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0390, loss: 0.8226 2022-09-16 03:51:49,922 - mmdet - INFO - Epoch [31][2500/7330] lr: 1.000e-05, eta: 14:11:06, time: 1.215, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1365, s0.loss_cls: 0.0976, s0.acc: 96.3730, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1672, s1.loss_cls: 0.0444, s1.acc: 96.7034, s1.loss_bbox: 0.0702, s1.loss_mask: 0.0799, s2.loss_cls: 0.0232, s2.acc: 96.4961, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0378, loss: 0.7966 2022-09-16 03:52:51,259 - mmdet - INFO - Epoch [31][2550/7330] lr: 1.000e-05, eta: 14:10:04, time: 1.227, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1358, s0.loss_cls: 0.1048, s0.acc: 96.0256, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1702, s1.loss_cls: 0.0491, s1.acc: 96.2525, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0813, s2.loss_cls: 0.0253, s2.acc: 96.0677, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0386, loss: 0.8274 2022-09-16 03:53:52,783 - mmdet - INFO - Epoch [31][2600/7330] lr: 1.000e-05, eta: 14:09:03, time: 1.230, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1409, s0.loss_cls: 0.1083, s0.acc: 95.9722, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1757, s1.loss_cls: 0.0507, s1.acc: 96.2673, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0829, s2.loss_cls: 0.0262, s2.acc: 96.0812, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0393, loss: 0.8519 2022-09-16 03:54:53,468 - mmdet - INFO - Epoch [31][2650/7330] lr: 1.000e-05, eta: 14:08:00, time: 1.213, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0188, loss_semantic_seg: 0.1340, s0.loss_cls: 0.0991, s0.acc: 96.2549, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1672, s1.loss_cls: 0.0459, s1.acc: 96.5777, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0792, s2.loss_cls: 0.0238, s2.acc: 96.3266, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0375, loss: 0.7964 2022-09-16 03:55:54,382 - mmdet - INFO - Epoch [31][2700/7330] lr: 1.000e-05, eta: 14:06:58, time: 1.219, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1334, s0.loss_cls: 0.1022, s0.acc: 96.0688, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1691, s1.loss_cls: 0.0478, s1.acc: 96.3473, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0803, s2.loss_cls: 0.0247, s2.acc: 96.1611, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0383, loss: 0.8130 2022-09-16 03:56:53,943 - mmdet - INFO - Epoch [31][2750/7330] lr: 1.000e-05, eta: 14:05:55, time: 1.191, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1026, s0.acc: 96.1069, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1717, s1.loss_cls: 0.0481, s1.acc: 96.3741, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0814, s2.loss_cls: 0.0248, s2.acc: 96.1914, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0382, loss: 0.8225 2022-09-16 03:57:54,919 - mmdet - INFO - Epoch [31][2800/7330] lr: 1.000e-05, eta: 14:04:53, time: 1.219, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1393, s0.loss_cls: 0.1084, s0.acc: 95.8496, s0.loss_bbox: 0.0636, s0.loss_mask: 0.1768, s1.loss_cls: 0.0502, s1.acc: 96.1139, s1.loss_bbox: 0.0771, s1.loss_mask: 0.0839, s2.loss_cls: 0.0262, s2.acc: 95.8884, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0399, loss: 0.8555 2022-09-16 03:58:56,870 - mmdet - INFO - Epoch [31][2850/7330] lr: 1.000e-05, eta: 14:03:52, time: 1.240, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1391, s0.loss_cls: 0.1036, s0.acc: 96.0508, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1707, s1.loss_cls: 0.0485, s1.acc: 96.3191, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0815, s2.loss_cls: 0.0248, s2.acc: 96.1110, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0389, loss: 0.8293 2022-09-16 03:59:58,174 - mmdet - INFO - Epoch [31][2900/7330] lr: 1.000e-05, eta: 14:02:50, time: 1.225, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0233, loss_semantic_seg: 0.1370, s0.loss_cls: 0.1023, s0.acc: 96.0386, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1706, s1.loss_cls: 0.0478, s1.acc: 96.3709, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0811, s2.loss_cls: 0.0245, s2.acc: 96.1610, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0387, loss: 0.8295 2022-09-16 04:00:58,908 - mmdet - INFO - Epoch [31][2950/7330] lr: 1.000e-05, eta: 14:01:48, time: 1.215, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1029, s0.acc: 96.1328, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1649, s1.loss_cls: 0.0480, s1.acc: 96.4132, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0789, s2.loss_cls: 0.0250, s2.acc: 96.1969, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0377, loss: 0.8115 2022-09-16 04:02:00,007 - mmdet - INFO - Epoch [31][3000/7330] lr: 1.000e-05, eta: 14:00:46, time: 1.222, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1379, s0.loss_cls: 0.1026, s0.acc: 96.1306, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1660, s1.loss_cls: 0.0469, s1.acc: 96.4082, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0792, s2.loss_cls: 0.0243, s2.acc: 96.2720, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0378, loss: 0.8085 2022-09-16 04:03:01,373 - mmdet - INFO - Epoch [31][3050/7330] lr: 1.000e-05, eta: 13:59:44, time: 1.227, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1420, s0.loss_cls: 0.1047, s0.acc: 96.0234, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1733, s1.loss_cls: 0.0493, s1.acc: 96.2562, s1.loss_bbox: 0.0735, s1.loss_mask: 0.0825, s2.loss_cls: 0.0252, s2.acc: 96.0927, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0393, loss: 0.8389 2022-09-16 04:04:02,862 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 04:04:02,863 - mmdet - INFO - Epoch [31][3100/7330] lr: 1.000e-05, eta: 13:58:42, time: 1.229, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1395, s0.loss_cls: 0.0991, s0.acc: 96.2261, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1711, s1.loss_cls: 0.0463, s1.acc: 96.4534, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0822, s2.loss_cls: 0.0238, s2.acc: 96.2816, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0393, loss: 0.8201 2022-09-16 04:05:03,170 - mmdet - INFO - Epoch [31][3150/7330] lr: 1.000e-05, eta: 13:57:40, time: 1.207, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1340, s0.loss_cls: 0.1054, s0.acc: 95.9429, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1724, s1.loss_cls: 0.0486, s1.acc: 96.2800, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0825, s2.loss_cls: 0.0251, s2.acc: 96.0907, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0392, loss: 0.8306 2022-09-16 04:06:03,984 - mmdet - INFO - Epoch [31][3200/7330] lr: 1.000e-05, eta: 13:56:38, time: 1.216, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1377, s0.loss_cls: 0.1065, s0.acc: 95.9565, s0.loss_bbox: 0.0620, s0.loss_mask: 0.1751, s1.loss_cls: 0.0491, s1.acc: 96.2987, s1.loss_bbox: 0.0775, s1.loss_mask: 0.0834, s2.loss_cls: 0.0258, s2.acc: 96.0643, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0397, loss: 0.8450 2022-09-16 04:07:05,517 - mmdet - INFO - Epoch [31][3250/7330] lr: 1.000e-05, eta: 13:55:36, time: 1.231, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1388, s0.loss_cls: 0.1072, s0.acc: 95.9258, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1714, s1.loss_cls: 0.0501, s1.acc: 96.1894, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0814, s2.loss_cls: 0.0261, s2.acc: 96.0379, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0385, loss: 0.8354 2022-09-16 04:08:05,795 - mmdet - INFO - Epoch [31][3300/7330] lr: 1.000e-05, eta: 13:54:34, time: 1.205, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1357, s0.loss_cls: 0.1009, s0.acc: 96.2139, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1687, s1.loss_cls: 0.0471, s1.acc: 96.4462, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0804, s2.loss_cls: 0.0246, s2.acc: 96.2074, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0383, loss: 0.8118 2022-09-16 04:09:07,103 - mmdet - INFO - Epoch [31][3350/7330] lr: 1.000e-05, eta: 13:53:32, time: 1.226, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1366, s0.loss_cls: 0.1034, s0.acc: 96.0862, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1678, s1.loss_cls: 0.0485, s1.acc: 96.2990, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0796, s2.loss_cls: 0.0253, s2.acc: 96.0431, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0378, loss: 0.8202 2022-09-16 04:10:08,418 - mmdet - INFO - Epoch [31][3400/7330] lr: 1.000e-05, eta: 13:52:30, time: 1.226, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1307, s0.loss_cls: 0.0993, s0.acc: 96.1902, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1711, s1.loss_cls: 0.0468, s1.acc: 96.4379, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0812, s2.loss_cls: 0.0241, s2.acc: 96.2710, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0389, loss: 0.8043 2022-09-16 04:11:09,286 - mmdet - INFO - Epoch [31][3450/7330] lr: 1.000e-05, eta: 13:51:28, time: 1.217, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1296, s0.loss_cls: 0.1017, s0.acc: 96.1768, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1687, s1.loss_cls: 0.0467, s1.acc: 96.4926, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0809, s2.loss_cls: 0.0239, s2.acc: 96.3430, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0387, loss: 0.8033 2022-09-16 04:12:09,720 - mmdet - INFO - Epoch [31][3500/7330] lr: 1.000e-05, eta: 13:50:25, time: 1.208, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1415, s0.loss_cls: 0.1006, s0.acc: 96.2361, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1715, s1.loss_cls: 0.0471, s1.acc: 96.4749, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0811, s2.loss_cls: 0.0241, s2.acc: 96.3343, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0390, loss: 0.8135 2022-09-16 04:13:11,364 - mmdet - INFO - Epoch [31][3550/7330] lr: 1.000e-05, eta: 13:49:24, time: 1.233, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1354, s0.loss_cls: 0.0970, s0.acc: 96.2583, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1691, s1.loss_cls: 0.0446, s1.acc: 96.5102, s1.loss_bbox: 0.0686, s1.loss_mask: 0.0801, s2.loss_cls: 0.0231, s2.acc: 96.2595, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0382, loss: 0.7917 2022-09-16 04:14:12,970 - mmdet - INFO - Epoch [31][3600/7330] lr: 1.000e-05, eta: 13:48:22, time: 1.232, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1420, s0.loss_cls: 0.1108, s0.acc: 95.9285, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1765, s1.loss_cls: 0.0523, s1.acc: 96.2031, s1.loss_bbox: 0.0774, s1.loss_mask: 0.0839, s2.loss_cls: 0.0273, s2.acc: 95.9053, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0399, loss: 0.8642 2022-09-16 04:15:14,520 - mmdet - INFO - Epoch [31][3650/7330] lr: 1.000e-05, eta: 13:47:21, time: 1.231, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1401, s0.loss_cls: 0.0988, s0.acc: 96.1702, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1687, s1.loss_cls: 0.0457, s1.acc: 96.4839, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0807, s2.loss_cls: 0.0241, s2.acc: 96.2129, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0386, loss: 0.8137 2022-09-16 04:16:14,804 - mmdet - INFO - Epoch [31][3700/7330] lr: 1.000e-05, eta: 13:46:18, time: 1.206, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1403, s0.loss_cls: 0.0990, s0.acc: 96.2666, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1725, s1.loss_cls: 0.0453, s1.acc: 96.5326, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0824, s2.loss_cls: 0.0238, s2.acc: 96.2629, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0392, loss: 0.8261 2022-09-16 04:17:15,316 - mmdet - INFO - Epoch [31][3750/7330] lr: 1.000e-05, eta: 13:45:16, time: 1.209, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1322, s0.loss_cls: 0.1016, s0.acc: 96.1509, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1705, s1.loss_cls: 0.0475, s1.acc: 96.4210, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0812, s2.loss_cls: 0.0245, s2.acc: 96.2376, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0387, loss: 0.8134 2022-09-16 04:18:16,770 - mmdet - INFO - Epoch [31][3800/7330] lr: 1.000e-05, eta: 13:44:14, time: 1.230, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1305, s0.loss_cls: 0.1088, s0.acc: 95.9026, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1721, s1.loss_cls: 0.0512, s1.acc: 96.1272, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0822, s2.loss_cls: 0.0263, s2.acc: 95.9695, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0392, loss: 0.8334 2022-09-16 04:19:17,086 - mmdet - INFO - Epoch [31][3850/7330] lr: 1.000e-05, eta: 13:43:12, time: 1.206, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1485, s0.loss_cls: 0.1025, s0.acc: 96.1304, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1682, s1.loss_cls: 0.0471, s1.acc: 96.4227, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0806, s2.loss_cls: 0.0242, s2.acc: 96.2196, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0383, loss: 0.8265 2022-09-16 04:20:17,948 - mmdet - INFO - Epoch [31][3900/7330] lr: 1.000e-05, eta: 13:42:10, time: 1.217, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1349, s0.loss_cls: 0.0957, s0.acc: 96.4241, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1669, s1.loss_cls: 0.0441, s1.acc: 96.7103, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0800, s2.loss_cls: 0.0235, s2.acc: 96.3768, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0383, loss: 0.7938 2022-09-16 04:21:19,844 - mmdet - INFO - Epoch [31][3950/7330] lr: 1.000e-05, eta: 13:41:08, time: 1.237, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1042, s0.acc: 96.0020, s0.loss_bbox: 0.0620, s0.loss_mask: 0.1767, s1.loss_cls: 0.0480, s1.acc: 96.3620, s1.loss_bbox: 0.0770, s1.loss_mask: 0.0840, s2.loss_cls: 0.0251, s2.acc: 96.0906, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0397, loss: 0.8391 2022-09-16 04:22:20,840 - mmdet - INFO - Epoch [31][4000/7330] lr: 1.000e-05, eta: 13:40:06, time: 1.221, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1379, s0.loss_cls: 0.1008, s0.acc: 96.1924, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1734, s1.loss_cls: 0.0474, s1.acc: 96.3521, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0820, s2.loss_cls: 0.0244, s2.acc: 96.1296, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0389, loss: 0.8188 2022-09-16 04:23:21,559 - mmdet - INFO - Epoch [31][4050/7330] lr: 1.000e-05, eta: 13:39:04, time: 1.214, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1428, s0.loss_cls: 0.1050, s0.acc: 96.0017, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1668, s1.loss_cls: 0.0482, s1.acc: 96.3587, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0800, s2.loss_cls: 0.0249, s2.acc: 96.1423, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0381, loss: 0.8184 2022-09-16 04:24:22,078 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 04:24:22,079 - mmdet - INFO - Epoch [31][4100/7330] lr: 1.000e-05, eta: 13:38:02, time: 1.211, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1371, s0.loss_cls: 0.1010, s0.acc: 96.2075, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1673, s1.loss_cls: 0.0468, s1.acc: 96.5307, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0800, s2.loss_cls: 0.0246, s2.acc: 96.2316, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0380, loss: 0.8107 2022-09-16 04:25:22,108 - mmdet - INFO - Epoch [31][4150/7330] lr: 1.000e-05, eta: 13:36:59, time: 1.201, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1365, s0.loss_cls: 0.1029, s0.acc: 96.0630, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1692, s1.loss_cls: 0.0474, s1.acc: 96.3490, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0805, s2.loss_cls: 0.0245, s2.acc: 96.2402, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0385, loss: 0.8146 2022-09-16 04:26:22,788 - mmdet - INFO - Epoch [31][4200/7330] lr: 1.000e-05, eta: 13:35:57, time: 1.214, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1310, s0.loss_cls: 0.1012, s0.acc: 96.1519, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1716, s1.loss_cls: 0.0468, s1.acc: 96.4110, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0821, s2.loss_cls: 0.0246, s2.acc: 96.1727, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0395, loss: 0.8100 2022-09-16 04:27:22,976 - mmdet - INFO - Epoch [31][4250/7330] lr: 1.000e-05, eta: 13:34:54, time: 1.204, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1338, s0.loss_cls: 0.1033, s0.acc: 96.1057, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1656, s1.loss_cls: 0.0483, s1.acc: 96.3706, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0792, s2.loss_cls: 0.0247, s2.acc: 96.2435, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0378, loss: 0.8045 2022-09-16 04:28:23,959 - mmdet - INFO - Epoch [31][4300/7330] lr: 1.000e-05, eta: 13:33:52, time: 1.220, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1377, s0.loss_cls: 0.0976, s0.acc: 96.2515, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1706, s1.loss_cls: 0.0451, s1.acc: 96.5495, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0815, s2.loss_cls: 0.0233, s2.acc: 96.3863, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0388, loss: 0.8067 2022-09-16 04:29:25,243 - mmdet - INFO - Epoch [31][4350/7330] lr: 1.000e-05, eta: 13:32:50, time: 1.226, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1399, s0.loss_cls: 0.1036, s0.acc: 96.0779, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1734, s1.loss_cls: 0.0482, s1.acc: 96.3691, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0826, s2.loss_cls: 0.0247, s2.acc: 96.2156, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0395, loss: 0.8360 2022-09-16 04:30:26,380 - mmdet - INFO - Epoch [31][4400/7330] lr: 1.000e-05, eta: 13:31:49, time: 1.223, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1308, s0.loss_cls: 0.0958, s0.acc: 96.3298, s0.loss_bbox: 0.0561, s0.loss_mask: 0.1663, s1.loss_cls: 0.0445, s1.acc: 96.5946, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0793, s2.loss_cls: 0.0238, s2.acc: 96.3191, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0380, loss: 0.7835 2022-09-16 04:31:27,375 - mmdet - INFO - Epoch [31][4450/7330] lr: 1.000e-05, eta: 13:30:47, time: 1.220, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1344, s0.loss_cls: 0.1039, s0.acc: 96.0640, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1751, s1.loss_cls: 0.0480, s1.acc: 96.3822, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0829, s2.loss_cls: 0.0251, s2.acc: 96.2221, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0397, loss: 0.8333 2022-09-16 04:32:28,415 - mmdet - INFO - Epoch [31][4500/7330] lr: 1.000e-05, eta: 13:29:45, time: 1.221, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1361, s0.loss_cls: 0.1065, s0.acc: 95.9355, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1723, s1.loss_cls: 0.0487, s1.acc: 96.2638, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0816, s2.loss_cls: 0.0251, s2.acc: 96.0461, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0388, loss: 0.8365 2022-09-16 04:33:30,814 - mmdet - INFO - Epoch [31][4550/7330] lr: 1.000e-05, eta: 13:28:44, time: 1.248, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1354, s0.loss_cls: 0.1006, s0.acc: 96.1592, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1739, s1.loss_cls: 0.0476, s1.acc: 96.4956, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0826, s2.loss_cls: 0.0250, s2.acc: 96.1844, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0395, loss: 0.8268 2022-09-16 04:34:31,661 - mmdet - INFO - Epoch [31][4600/7330] lr: 1.000e-05, eta: 13:27:42, time: 1.217, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1327, s0.loss_cls: 0.1023, s0.acc: 96.1304, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1692, s1.loss_cls: 0.0474, s1.acc: 96.4575, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0801, s2.loss_cls: 0.0245, s2.acc: 96.2890, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0381, loss: 0.8133 2022-09-16 04:35:33,276 - mmdet - INFO - Epoch [31][4650/7330] lr: 1.000e-05, eta: 13:26:40, time: 1.232, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1397, s0.loss_cls: 0.1020, s0.acc: 96.1304, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1731, s1.loss_cls: 0.0471, s1.acc: 96.4172, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0825, s2.loss_cls: 0.0245, s2.acc: 96.2443, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0392, loss: 0.8245 2022-09-16 04:36:34,043 - mmdet - INFO - Epoch [31][4700/7330] lr: 1.000e-05, eta: 13:25:38, time: 1.215, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1371, s0.loss_cls: 0.1074, s0.acc: 95.9541, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1686, s1.loss_cls: 0.0490, s1.acc: 96.3024, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0810, s2.loss_cls: 0.0258, s2.acc: 96.0118, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0386, loss: 0.8299 2022-09-16 04:37:35,115 - mmdet - INFO - Epoch [31][4750/7330] lr: 1.000e-05, eta: 13:24:36, time: 1.221, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1361, s0.loss_cls: 0.1011, s0.acc: 96.1714, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1700, s1.loss_cls: 0.0473, s1.acc: 96.4262, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0809, s2.loss_cls: 0.0247, s2.acc: 96.1839, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0382, loss: 0.8155 2022-09-16 04:38:35,409 - mmdet - INFO - Epoch [31][4800/7330] lr: 1.000e-05, eta: 13:23:34, time: 1.206, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1335, s0.loss_cls: 0.0976, s0.acc: 96.2854, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1669, s1.loss_cls: 0.0462, s1.acc: 96.4705, s1.loss_bbox: 0.0684, s1.loss_mask: 0.0789, s2.loss_cls: 0.0239, s2.acc: 96.3299, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0373, loss: 0.7907 2022-09-16 04:39:36,465 - mmdet - INFO - Epoch [31][4850/7330] lr: 1.000e-05, eta: 13:22:32, time: 1.221, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1378, s0.loss_cls: 0.0995, s0.acc: 96.2507, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1685, s1.loss_cls: 0.0462, s1.acc: 96.5324, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0805, s2.loss_cls: 0.0244, s2.acc: 96.2630, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0386, loss: 0.8048 2022-09-16 04:40:38,021 - mmdet - INFO - Epoch [31][4900/7330] lr: 1.000e-05, eta: 13:21:30, time: 1.231, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1358, s0.loss_cls: 0.0995, s0.acc: 96.2283, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1705, s1.loss_cls: 0.0464, s1.acc: 96.4275, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0811, s2.loss_cls: 0.0241, s2.acc: 96.2128, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0389, loss: 0.8068 2022-09-16 04:41:39,063 - mmdet - INFO - Epoch [31][4950/7330] lr: 1.000e-05, eta: 13:20:28, time: 1.221, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1348, s0.loss_cls: 0.1030, s0.acc: 96.1116, s0.loss_bbox: 0.0611, s0.loss_mask: 0.1683, s1.loss_cls: 0.0475, s1.acc: 96.4406, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0804, s2.loss_cls: 0.0249, s2.acc: 96.1717, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0385, loss: 0.8167 2022-09-16 04:42:40,376 - mmdet - INFO - Epoch [31][5000/7330] lr: 1.000e-05, eta: 13:19:27, time: 1.226, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1371, s0.loss_cls: 0.1030, s0.acc: 96.1370, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1725, s1.loss_cls: 0.0472, s1.acc: 96.4527, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0826, s2.loss_cls: 0.0245, s2.acc: 96.2622, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0394, loss: 0.8249 2022-09-16 04:43:41,167 - mmdet - INFO - Epoch [31][5050/7330] lr: 1.000e-05, eta: 13:18:24, time: 1.216, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1348, s0.loss_cls: 0.0922, s0.acc: 96.4822, s0.loss_bbox: 0.0550, s0.loss_mask: 0.1657, s1.loss_cls: 0.0426, s1.acc: 96.8333, s1.loss_bbox: 0.0677, s1.loss_mask: 0.0788, s2.loss_cls: 0.0221, s2.acc: 96.6169, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0377, loss: 0.7758 2022-09-16 04:44:42,179 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 04:44:42,234 - mmdet - INFO - Epoch [31][5100/7330] lr: 1.000e-05, eta: 13:17:23, time: 1.220, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1428, s0.loss_cls: 0.1029, s0.acc: 96.1155, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1699, s1.loss_cls: 0.0475, s1.acc: 96.4279, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0811, s2.loss_cls: 0.0246, s2.acc: 96.1942, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0387, loss: 0.8233 2022-09-16 04:45:43,763 - mmdet - INFO - Epoch [31][5150/7330] lr: 1.000e-05, eta: 13:16:21, time: 1.231, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1401, s0.loss_cls: 0.0985, s0.acc: 96.1799, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1706, s1.loss_cls: 0.0457, s1.acc: 96.4325, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0816, s2.loss_cls: 0.0240, s2.acc: 96.2277, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0390, loss: 0.8149 2022-09-16 04:46:45,111 - mmdet - INFO - Epoch [31][5200/7330] lr: 1.000e-05, eta: 13:15:19, time: 1.227, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1374, s0.loss_cls: 0.1044, s0.acc: 96.0105, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1727, s1.loss_cls: 0.0496, s1.acc: 96.2493, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0819, s2.loss_cls: 0.0258, s2.acc: 96.0471, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0387, loss: 0.8340 2022-09-16 04:47:45,610 - mmdet - INFO - Epoch [31][5250/7330] lr: 1.000e-05, eta: 13:14:17, time: 1.210, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1359, s0.loss_cls: 0.1011, s0.acc: 96.1833, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1712, s1.loss_cls: 0.0470, s1.acc: 96.4395, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0816, s2.loss_cls: 0.0243, s2.acc: 96.1717, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0387, loss: 0.8156 2022-09-16 04:48:45,866 - mmdet - INFO - Epoch [31][5300/7330] lr: 1.000e-05, eta: 13:13:15, time: 1.205, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1305, s0.loss_cls: 0.1002, s0.acc: 96.1958, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1702, s1.loss_cls: 0.0455, s1.acc: 96.5628, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0814, s2.loss_cls: 0.0236, s2.acc: 96.3155, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0388, loss: 0.8054 2022-09-16 04:49:45,911 - mmdet - INFO - Epoch [31][5350/7330] lr: 1.000e-05, eta: 13:12:12, time: 1.200, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1371, s0.loss_cls: 0.1005, s0.acc: 96.1272, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1703, s1.loss_cls: 0.0462, s1.acc: 96.4199, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0814, s2.loss_cls: 0.0241, s2.acc: 96.1852, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0388, loss: 0.8124 2022-09-16 04:50:46,431 - mmdet - INFO - Epoch [31][5400/7330] lr: 1.000e-05, eta: 13:11:10, time: 1.210, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1418, s0.loss_cls: 0.1035, s0.acc: 96.0200, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1681, s1.loss_cls: 0.0486, s1.acc: 96.3600, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0807, s2.loss_cls: 0.0253, s2.acc: 96.1145, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0384, loss: 0.8234 2022-09-16 04:51:47,438 - mmdet - INFO - Epoch [31][5450/7330] lr: 1.000e-05, eta: 13:10:08, time: 1.220, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1298, s0.loss_cls: 0.0933, s0.acc: 96.4465, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1624, s1.loss_cls: 0.0422, s1.acc: 96.8505, s1.loss_bbox: 0.0670, s1.loss_mask: 0.0779, s2.loss_cls: 0.0219, s2.acc: 96.6879, s2.loss_bbox: 0.0468, s2.loss_mask: 0.0372, loss: 0.7691 2022-09-16 04:52:48,534 - mmdet - INFO - Epoch [31][5500/7330] lr: 1.000e-05, eta: 13:09:06, time: 1.223, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1342, s0.loss_cls: 0.0987, s0.acc: 96.1826, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1688, s1.loss_cls: 0.0456, s1.acc: 96.5137, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0811, s2.loss_cls: 0.0238, s2.acc: 96.3587, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0386, loss: 0.8055 2022-09-16 04:53:48,732 - mmdet - INFO - Epoch [31][5550/7330] lr: 1.000e-05, eta: 13:08:03, time: 1.204, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1400, s0.loss_cls: 0.0935, s0.acc: 96.5295, s0.loss_bbox: 0.0536, s0.loss_mask: 0.1638, s1.loss_cls: 0.0427, s1.acc: 96.8273, s1.loss_bbox: 0.0661, s1.loss_mask: 0.0785, s2.loss_cls: 0.0223, s2.acc: 96.6480, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0378, loss: 0.7757 2022-09-16 04:54:49,976 - mmdet - INFO - Epoch [31][5600/7330] lr: 1.000e-05, eta: 13:07:01, time: 1.224, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1357, s0.loss_cls: 0.1048, s0.acc: 95.9473, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1725, s1.loss_cls: 0.0497, s1.acc: 96.1223, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0822, s2.loss_cls: 0.0259, s2.acc: 95.8864, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0389, loss: 0.8364 2022-09-16 04:55:51,216 - mmdet - INFO - Epoch [31][5650/7330] lr: 1.000e-05, eta: 13:06:00, time: 1.225, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1400, s0.loss_cls: 0.1055, s0.acc: 95.9805, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1724, s1.loss_cls: 0.0491, s1.acc: 96.2790, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0825, s2.loss_cls: 0.0255, s2.acc: 96.1447, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0392, loss: 0.8373 2022-09-16 04:56:52,140 - mmdet - INFO - Epoch [31][5700/7330] lr: 1.000e-05, eta: 13:04:58, time: 1.218, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1373, s0.loss_cls: 0.0989, s0.acc: 96.2312, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1687, s1.loss_cls: 0.0447, s1.acc: 96.5823, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0806, s2.loss_cls: 0.0233, s2.acc: 96.4402, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0384, loss: 0.8082 2022-09-16 04:57:53,519 - mmdet - INFO - Epoch [31][5750/7330] lr: 1.000e-05, eta: 13:03:56, time: 1.227, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1455, s0.loss_cls: 0.1045, s0.acc: 96.0315, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1685, s1.loss_cls: 0.0490, s1.acc: 96.3290, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0793, s2.loss_cls: 0.0252, s2.acc: 96.0878, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0376, loss: 0.8257 2022-09-16 04:58:54,426 - mmdet - INFO - Epoch [31][5800/7330] lr: 1.000e-05, eta: 13:02:54, time: 1.218, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1361, s0.loss_cls: 0.0993, s0.acc: 96.2715, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1685, s1.loss_cls: 0.0460, s1.acc: 96.5128, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0806, s2.loss_cls: 0.0239, s2.acc: 96.3232, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0386, loss: 0.8086 2022-09-16 04:59:56,258 - mmdet - INFO - Epoch [31][5850/7330] lr: 1.000e-05, eta: 13:01:53, time: 1.237, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1414, s0.loss_cls: 0.1101, s0.acc: 95.8889, s0.loss_bbox: 0.0654, s0.loss_mask: 0.1775, s1.loss_cls: 0.0516, s1.acc: 96.1841, s1.loss_bbox: 0.0790, s1.loss_mask: 0.0842, s2.loss_cls: 0.0269, s2.acc: 95.9005, s2.loss_bbox: 0.0536, s2.loss_mask: 0.0399, loss: 0.8671 2022-09-16 05:00:56,567 - mmdet - INFO - Epoch [31][5900/7330] lr: 1.000e-05, eta: 13:00:50, time: 1.207, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1337, s0.loss_cls: 0.1029, s0.acc: 96.0776, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1725, s1.loss_cls: 0.0479, s1.acc: 96.2990, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0822, s2.loss_cls: 0.0246, s2.acc: 96.1839, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0392, loss: 0.8225 2022-09-16 05:01:57,108 - mmdet - INFO - Epoch [31][5950/7330] lr: 1.000e-05, eta: 12:59:48, time: 1.211, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1283, s0.loss_cls: 0.0949, s0.acc: 96.4304, s0.loss_bbox: 0.0557, s0.loss_mask: 0.1665, s1.loss_cls: 0.0429, s1.acc: 96.7768, s1.loss_bbox: 0.0684, s1.loss_mask: 0.0802, s2.loss_cls: 0.0221, s2.acc: 96.5986, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0383, loss: 0.7752 2022-09-16 05:02:57,255 - mmdet - INFO - Epoch [31][6000/7330] lr: 1.000e-05, eta: 12:58:46, time: 1.202, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1363, s0.loss_cls: 0.0989, s0.acc: 96.3184, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1678, s1.loss_cls: 0.0464, s1.acc: 96.5701, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0802, s2.loss_cls: 0.0246, s2.acc: 96.3163, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0382, loss: 0.8035 2022-09-16 05:03:57,572 - mmdet - INFO - Epoch [31][6050/7330] lr: 1.000e-05, eta: 12:57:43, time: 1.207, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1310, s0.loss_cls: 0.0998, s0.acc: 96.1362, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1706, s1.loss_cls: 0.0462, s1.acc: 96.4196, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0815, s2.loss_cls: 0.0240, s2.acc: 96.2153, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0390, loss: 0.8099 2022-09-16 05:04:58,535 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 05:04:58,539 - mmdet - INFO - Epoch [31][6100/7330] lr: 1.000e-05, eta: 12:56:41, time: 1.219, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1424, s0.loss_cls: 0.1045, s0.acc: 96.0525, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1690, s1.loss_cls: 0.0490, s1.acc: 96.3513, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0805, s2.loss_cls: 0.0251, s2.acc: 96.1902, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0384, loss: 0.8292 2022-09-16 05:05:59,159 - mmdet - INFO - Epoch [31][6150/7330] lr: 1.000e-05, eta: 12:55:39, time: 1.211, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1337, s0.loss_cls: 0.0946, s0.acc: 96.4556, s0.loss_bbox: 0.0551, s0.loss_mask: 0.1675, s1.loss_cls: 0.0438, s1.acc: 96.6676, s1.loss_bbox: 0.0680, s1.loss_mask: 0.0798, s2.loss_cls: 0.0226, s2.acc: 96.4868, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0382, loss: 0.7852 2022-09-16 05:07:00,155 - mmdet - INFO - Epoch [31][6200/7330] lr: 1.000e-05, eta: 12:54:37, time: 1.221, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1423, s0.loss_cls: 0.0968, s0.acc: 96.3323, s0.loss_bbox: 0.0546, s0.loss_mask: 0.1653, s1.loss_cls: 0.0446, s1.acc: 96.6157, s1.loss_bbox: 0.0684, s1.loss_mask: 0.0790, s2.loss_cls: 0.0228, s2.acc: 96.4828, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0376, loss: 0.7947 2022-09-16 05:08:01,626 - mmdet - INFO - Epoch [31][6250/7330] lr: 1.000e-05, eta: 12:53:36, time: 1.229, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1423, s0.loss_cls: 0.1060, s0.acc: 96.0583, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1738, s1.loss_cls: 0.0497, s1.acc: 96.3313, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0833, s2.loss_cls: 0.0257, s2.acc: 96.1576, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0400, loss: 0.8357 2022-09-16 05:09:02,890 - mmdet - INFO - Epoch [31][6300/7330] lr: 1.000e-05, eta: 12:52:34, time: 1.225, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1350, s0.loss_cls: 0.1046, s0.acc: 96.0471, s0.loss_bbox: 0.0637, s0.loss_mask: 0.1784, s1.loss_cls: 0.0480, s1.acc: 96.3889, s1.loss_bbox: 0.0787, s1.loss_mask: 0.0850, s2.loss_cls: 0.0253, s2.acc: 96.1070, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0403, loss: 0.8514 2022-09-16 05:10:03,700 - mmdet - INFO - Epoch [31][6350/7330] lr: 1.000e-05, eta: 12:51:32, time: 1.215, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1343, s0.loss_cls: 0.0992, s0.acc: 96.1897, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1658, s1.loss_cls: 0.0450, s1.acc: 96.5842, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0794, s2.loss_cls: 0.0235, s2.acc: 96.4012, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0378, loss: 0.7950 2022-09-16 05:11:04,893 - mmdet - INFO - Epoch [31][6400/7330] lr: 1.000e-05, eta: 12:50:30, time: 1.224, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1320, s0.loss_cls: 0.1015, s0.acc: 96.1409, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1694, s1.loss_cls: 0.0469, s1.acc: 96.4596, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0808, s2.loss_cls: 0.0248, s2.acc: 96.2172, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0386, loss: 0.8091 2022-09-16 05:12:06,535 - mmdet - INFO - Epoch [31][6450/7330] lr: 1.000e-05, eta: 12:49:29, time: 1.234, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1433, s0.loss_cls: 0.1031, s0.acc: 96.0986, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1715, s1.loss_cls: 0.0485, s1.acc: 96.3722, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0816, s2.loss_cls: 0.0253, s2.acc: 96.1573, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0390, loss: 0.8301 2022-09-16 05:13:07,337 - mmdet - INFO - Epoch [31][6500/7330] lr: 1.000e-05, eta: 12:48:27, time: 1.216, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1416, s0.loss_cls: 0.1063, s0.acc: 95.9565, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1726, s1.loss_cls: 0.0494, s1.acc: 96.2162, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0824, s2.loss_cls: 0.0254, s2.acc: 96.1006, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0394, loss: 0.8398 2022-09-16 05:14:08,628 - mmdet - INFO - Epoch [31][6550/7330] lr: 1.000e-05, eta: 12:47:25, time: 1.226, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1397, s0.loss_cls: 0.1023, s0.acc: 96.1045, s0.loss_bbox: 0.0611, s0.loss_mask: 0.1729, s1.loss_cls: 0.0483, s1.acc: 96.3564, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0833, s2.loss_cls: 0.0254, s2.acc: 96.0528, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0395, loss: 0.8353 2022-09-16 05:15:09,465 - mmdet - INFO - Epoch [31][6600/7330] lr: 1.000e-05, eta: 12:46:23, time: 1.217, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1441, s0.loss_cls: 0.1058, s0.acc: 96.0547, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1736, s1.loss_cls: 0.0497, s1.acc: 96.2954, s1.loss_bbox: 0.0759, s1.loss_mask: 0.0831, s2.loss_cls: 0.0259, s2.acc: 96.1202, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0396, loss: 0.8494 2022-09-16 05:16:10,579 - mmdet - INFO - Epoch [31][6650/7330] lr: 1.000e-05, eta: 12:45:21, time: 1.222, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1395, s0.loss_cls: 0.0985, s0.acc: 96.2312, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1695, s1.loss_cls: 0.0454, s1.acc: 96.5415, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0808, s2.loss_cls: 0.0240, s2.acc: 96.3227, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0383, loss: 0.8100 2022-09-16 05:17:11,719 - mmdet - INFO - Epoch [31][6700/7330] lr: 1.000e-05, eta: 12:44:19, time: 1.222, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1354, s0.loss_cls: 0.1017, s0.acc: 96.1909, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1685, s1.loss_cls: 0.0474, s1.acc: 96.4068, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0803, s2.loss_cls: 0.0240, s2.acc: 96.3958, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0383, loss: 0.8054 2022-09-16 05:18:13,524 - mmdet - INFO - Epoch [31][6750/7330] lr: 1.000e-05, eta: 12:43:18, time: 1.237, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1423, s0.loss_cls: 0.1008, s0.acc: 96.1399, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1721, s1.loss_cls: 0.0467, s1.acc: 96.4422, s1.loss_bbox: 0.0739, s1.loss_mask: 0.0823, s2.loss_cls: 0.0242, s2.acc: 96.1585, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0393, loss: 0.8272 2022-09-16 05:19:14,775 - mmdet - INFO - Epoch [31][6800/7330] lr: 1.000e-05, eta: 12:42:17, time: 1.225, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1355, s0.loss_cls: 0.1028, s0.acc: 96.0879, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1756, s1.loss_cls: 0.0477, s1.acc: 96.4066, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0835, s2.loss_cls: 0.0249, s2.acc: 96.1958, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0396, loss: 0.8291 2022-09-16 05:20:15,446 - mmdet - INFO - Epoch [31][6850/7330] lr: 1.000e-05, eta: 12:41:14, time: 1.213, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0180, loss_semantic_seg: 0.1359, s0.loss_cls: 0.0951, s0.acc: 96.4175, s0.loss_bbox: 0.0554, s0.loss_mask: 0.1669, s1.loss_cls: 0.0436, s1.acc: 96.7529, s1.loss_bbox: 0.0676, s1.loss_mask: 0.0795, s2.loss_cls: 0.0228, s2.acc: 96.5431, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0380, loss: 0.7819 2022-09-16 05:21:17,930 - mmdet - INFO - Epoch [31][6900/7330] lr: 1.000e-05, eta: 12:40:14, time: 1.250, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1297, s0.loss_cls: 0.1051, s0.acc: 96.0432, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1722, s1.loss_cls: 0.0483, s1.acc: 96.3923, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0824, s2.loss_cls: 0.0253, s2.acc: 96.1770, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0389, loss: 0.8197 2022-09-16 05:22:19,044 - mmdet - INFO - Epoch [31][6950/7330] lr: 1.000e-05, eta: 12:39:12, time: 1.222, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1378, s0.loss_cls: 0.0951, s0.acc: 96.4238, s0.loss_bbox: 0.0560, s0.loss_mask: 0.1633, s1.loss_cls: 0.0439, s1.acc: 96.6709, s1.loss_bbox: 0.0680, s1.loss_mask: 0.0784, s2.loss_cls: 0.0231, s2.acc: 96.4950, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0376, loss: 0.7812 2022-09-16 05:23:20,489 - mmdet - INFO - Epoch [31][7000/7330] lr: 1.000e-05, eta: 12:38:10, time: 1.229, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1390, s0.loss_cls: 0.1023, s0.acc: 96.1182, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1733, s1.loss_cls: 0.0477, s1.acc: 96.4189, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0820, s2.loss_cls: 0.0250, s2.acc: 96.1363, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0389, loss: 0.8218 2022-09-16 05:24:21,638 - mmdet - INFO - Epoch [31][7050/7330] lr: 1.000e-05, eta: 12:37:08, time: 1.222, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1349, s0.loss_cls: 0.1061, s0.acc: 96.0332, s0.loss_bbox: 0.0631, s0.loss_mask: 0.1700, s1.loss_cls: 0.0489, s1.acc: 96.3284, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0805, s2.loss_cls: 0.0249, s2.acc: 96.1704, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0382, loss: 0.8290 2022-09-16 05:25:23,301 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 05:25:23,301 - mmdet - INFO - Epoch [31][7100/7330] lr: 1.000e-05, eta: 12:36:07, time: 1.234, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1329, s0.loss_cls: 0.1042, s0.acc: 96.0750, s0.loss_bbox: 0.0632, s0.loss_mask: 0.1758, s1.loss_cls: 0.0472, s1.acc: 96.4824, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0837, s2.loss_cls: 0.0244, s2.acc: 96.2797, s2.loss_bbox: 0.0535, s2.loss_mask: 0.0400, loss: 0.8374 2022-09-16 05:26:24,651 - mmdet - INFO - Epoch [31][7150/7330] lr: 1.000e-05, eta: 12:35:05, time: 1.227, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1310, s0.loss_cls: 0.0989, s0.acc: 96.2588, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1705, s1.loss_cls: 0.0457, s1.acc: 96.5582, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0812, s2.loss_cls: 0.0237, s2.acc: 96.4127, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0386, loss: 0.7999 2022-09-16 05:27:25,766 - mmdet - INFO - Epoch [31][7200/7330] lr: 1.000e-05, eta: 12:34:04, time: 1.222, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1327, s0.loss_cls: 0.0979, s0.acc: 96.2322, s0.loss_bbox: 0.0560, s0.loss_mask: 0.1663, s1.loss_cls: 0.0448, s1.acc: 96.6103, s1.loss_bbox: 0.0688, s1.loss_mask: 0.0797, s2.loss_cls: 0.0233, s2.acc: 96.4428, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0381, loss: 0.7890 2022-09-16 05:28:26,295 - mmdet - INFO - Epoch [31][7250/7330] lr: 1.000e-05, eta: 12:33:01, time: 1.211, data_time: 0.015, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1378, s0.loss_cls: 0.0998, s0.acc: 96.2192, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1645, s1.loss_cls: 0.0455, s1.acc: 96.5504, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0787, s2.loss_cls: 0.0238, s2.acc: 96.3425, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0374, loss: 0.8010 2022-09-16 05:29:27,780 - mmdet - INFO - Epoch [31][7300/7330] lr: 1.000e-05, eta: 12:32:00, time: 1.230, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1380, s0.loss_cls: 0.1036, s0.acc: 96.0518, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1726, s1.loss_cls: 0.0478, s1.acc: 96.3228, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0818, s2.loss_cls: 0.0246, s2.acc: 96.1832, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0391, loss: 0.8265 2022-09-16 05:30:13,729 - mmdet - INFO - Saving checkpoint at 31 epochs 2022-09-16 05:34:25,124 - mmdet - INFO - Evaluating bbox... 2022-09-16 05:35:03,344 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.586 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.771 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.644 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.443 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.621 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.723 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.746 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.746 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.746 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.620 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.783 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.872 2022-09-16 05:35:03,345 - mmdet - INFO - Evaluating segm... 2022-09-16 05:35:50,395 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.510 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.751 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.559 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.331 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.541 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.692 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.649 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.649 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.649 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.508 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.682 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.788 2022-09-16 05:35:51,285 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 05:35:51,286 - mmdet - INFO - Epoch(val) [31][313] bbox_mAP: 0.5860, bbox_mAP_50: 0.7710, bbox_mAP_75: 0.6440, bbox_mAP_s: 0.4430, bbox_mAP_m: 0.6210, bbox_mAP_l: 0.7230, bbox_mAP_copypaste: 0.586 0.771 0.644 0.443 0.621 0.723, segm_mAP: 0.5100, segm_mAP_50: 0.7510, segm_mAP_75: 0.5590, segm_mAP_s: 0.3310, segm_mAP_m: 0.5410, segm_mAP_l: 0.6920, segm_mAP_copypaste: 0.510 0.751 0.559 0.331 0.541 0.692 2022-09-16 05:38:36,086 - mmdet - INFO - Epoch [32][50/7330] lr: 1.000e-05, eta: 12:31:09, time: 3.294, data_time: 2.054, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1361, s0.loss_cls: 0.0966, s0.acc: 96.2878, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1664, s1.loss_cls: 0.0448, s1.acc: 96.5348, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0793, s2.loss_cls: 0.0235, s2.acc: 96.3475, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0378, loss: 0.7979 2022-09-16 05:39:37,067 - mmdet - INFO - Epoch [32][100/7330] lr: 1.000e-05, eta: 12:30:07, time: 1.220, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1034, s0.acc: 96.0386, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1704, s1.loss_cls: 0.0475, s1.acc: 96.3596, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0809, s2.loss_cls: 0.0250, s2.acc: 96.1323, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0384, loss: 0.8257 2022-09-16 05:40:39,196 - mmdet - INFO - Epoch [32][150/7330] lr: 1.000e-05, eta: 12:29:06, time: 1.242, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1327, s0.loss_cls: 0.0951, s0.acc: 96.3564, s0.loss_bbox: 0.0560, s0.loss_mask: 0.1650, s1.loss_cls: 0.0434, s1.acc: 96.6649, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0791, s2.loss_cls: 0.0225, s2.acc: 96.4435, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0379, loss: 0.7822 2022-09-16 05:41:39,756 - mmdet - INFO - Epoch [32][200/7330] lr: 1.000e-05, eta: 12:28:03, time: 1.212, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1386, s0.loss_cls: 0.1010, s0.acc: 96.1584, s0.loss_bbox: 0.0611, s0.loss_mask: 0.1695, s1.loss_cls: 0.0474, s1.acc: 96.3817, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0807, s2.loss_cls: 0.0249, s2.acc: 96.1142, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0382, loss: 0.8202 2022-09-16 05:42:40,849 - mmdet - INFO - Epoch [32][250/7330] lr: 1.000e-05, eta: 12:27:01, time: 1.222, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1332, s0.loss_cls: 0.1053, s0.acc: 95.9958, s0.loss_bbox: 0.0611, s0.loss_mask: 0.1742, s1.loss_cls: 0.0486, s1.acc: 96.3466, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0834, s2.loss_cls: 0.0252, s2.acc: 96.1530, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0399, loss: 0.8357 2022-09-16 05:43:42,650 - mmdet - INFO - Epoch [32][300/7330] lr: 1.000e-05, eta: 12:26:00, time: 1.235, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1467, s0.loss_cls: 0.1032, s0.acc: 96.1165, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1651, s1.loss_cls: 0.0475, s1.acc: 96.4336, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0785, s2.loss_cls: 0.0256, s2.acc: 96.1511, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0375, loss: 0.8155 2022-09-16 05:44:43,485 - mmdet - INFO - Epoch [32][350/7330] lr: 1.000e-05, eta: 12:24:58, time: 1.218, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1298, s0.loss_cls: 0.0997, s0.acc: 96.1941, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1700, s1.loss_cls: 0.0460, s1.acc: 96.5035, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0808, s2.loss_cls: 0.0238, s2.acc: 96.2515, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0382, loss: 0.8071 2022-09-16 05:45:44,766 - mmdet - INFO - Epoch [32][400/7330] lr: 1.000e-05, eta: 12:23:56, time: 1.225, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1396, s0.loss_cls: 0.0991, s0.acc: 96.2402, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1693, s1.loss_cls: 0.0467, s1.acc: 96.4967, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0808, s2.loss_cls: 0.0242, s2.acc: 96.1613, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0385, loss: 0.8129 2022-09-16 05:46:46,527 - mmdet - INFO - Epoch [32][450/7330] lr: 1.000e-05, eta: 12:22:55, time: 1.236, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1388, s0.loss_cls: 0.1046, s0.acc: 96.0071, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1703, s1.loss_cls: 0.0487, s1.acc: 96.2859, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0810, s2.loss_cls: 0.0253, s2.acc: 96.0860, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0383, loss: 0.8328 2022-09-16 05:47:47,779 - mmdet - INFO - Epoch [32][500/7330] lr: 1.000e-05, eta: 12:21:53, time: 1.225, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1296, s0.loss_cls: 0.1080, s0.acc: 95.8987, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1712, s1.loss_cls: 0.0507, s1.acc: 96.1682, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0818, s2.loss_cls: 0.0260, s2.acc: 95.9731, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0389, loss: 0.8367 2022-09-16 05:48:49,039 - mmdet - INFO - Epoch [32][550/7330] lr: 1.000e-05, eta: 12:20:51, time: 1.224, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1033, s0.acc: 96.1062, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1664, s1.loss_cls: 0.0477, s1.acc: 96.3883, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0793, s2.loss_cls: 0.0246, s2.acc: 96.2193, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0378, loss: 0.8116 2022-09-16 05:49:50,948 - mmdet - INFO - Epoch [32][600/7330] lr: 1.000e-05, eta: 12:19:50, time: 1.239, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1317, s0.loss_cls: 0.0982, s0.acc: 96.3245, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1648, s1.loss_cls: 0.0455, s1.acc: 96.6346, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0787, s2.loss_cls: 0.0239, s2.acc: 96.3537, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0375, loss: 0.7930 2022-09-16 05:50:51,839 - mmdet - INFO - Epoch [32][650/7330] lr: 1.000e-05, eta: 12:18:48, time: 1.218, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1340, s0.loss_cls: 0.1038, s0.acc: 96.0286, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1715, s1.loss_cls: 0.0475, s1.acc: 96.3698, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0819, s2.loss_cls: 0.0249, s2.acc: 96.1196, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0390, loss: 0.8242 2022-09-16 05:51:52,963 - mmdet - INFO - Epoch [32][700/7330] lr: 1.000e-05, eta: 12:17:46, time: 1.222, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1349, s0.loss_cls: 0.1015, s0.acc: 96.1792, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1702, s1.loss_cls: 0.0469, s1.acc: 96.4642, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0816, s2.loss_cls: 0.0250, s2.acc: 96.1606, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0389, loss: 0.8180 2022-09-16 05:52:54,814 - mmdet - INFO - Epoch [32][750/7330] lr: 1.000e-05, eta: 12:16:44, time: 1.233, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1324, s0.loss_cls: 0.1065, s0.acc: 95.9817, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1718, s1.loss_cls: 0.0493, s1.acc: 96.2961, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0820, s2.loss_cls: 0.0253, s2.acc: 96.1862, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0392, loss: 0.8315 2022-09-16 05:53:55,752 - mmdet - INFO - Epoch [32][800/7330] lr: 1.000e-05, eta: 12:15:43, time: 1.222, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1341, s0.loss_cls: 0.1017, s0.acc: 96.1733, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1727, s1.loss_cls: 0.0469, s1.acc: 96.4557, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0826, s2.loss_cls: 0.0245, s2.acc: 96.2708, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0394, loss: 0.8233 2022-09-16 05:54:57,397 - mmdet - INFO - Epoch [32][850/7330] lr: 1.000e-05, eta: 12:14:41, time: 1.232, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1359, s0.loss_cls: 0.0977, s0.acc: 96.2878, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1657, s1.loss_cls: 0.0447, s1.acc: 96.6265, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0791, s2.loss_cls: 0.0231, s2.acc: 96.4477, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0377, loss: 0.7943 2022-09-16 05:55:57,981 - mmdet - INFO - Epoch [32][900/7330] lr: 1.000e-05, eta: 12:13:39, time: 1.212, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0183, loss_semantic_seg: 0.1346, s0.loss_cls: 0.0929, s0.acc: 96.4412, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1669, s1.loss_cls: 0.0435, s1.acc: 96.6267, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0801, s2.loss_cls: 0.0227, s2.acc: 96.5009, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0380, loss: 0.7851 2022-09-16 05:56:57,819 - mmdet - INFO - Epoch [32][950/7330] lr: 1.000e-05, eta: 12:12:36, time: 1.197, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1027, s0.acc: 96.0710, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1658, s1.loss_cls: 0.0481, s1.acc: 96.3140, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0798, s2.loss_cls: 0.0249, s2.acc: 96.1549, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0380, loss: 0.8150 2022-09-16 05:57:58,437 - mmdet - INFO - Epoch [32][1000/7330] lr: 1.000e-05, eta: 12:11:34, time: 1.213, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1291, s0.loss_cls: 0.0945, s0.acc: 96.4417, s0.loss_bbox: 0.0552, s0.loss_mask: 0.1632, s1.loss_cls: 0.0438, s1.acc: 96.7562, s1.loss_bbox: 0.0671, s1.loss_mask: 0.0779, s2.loss_cls: 0.0227, s2.acc: 96.4942, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0373, loss: 0.7708 2022-09-16 05:58:58,468 - mmdet - INFO - Epoch [32][1050/7330] lr: 1.000e-05, eta: 12:10:31, time: 1.200, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1364, s0.loss_cls: 0.1025, s0.acc: 96.1382, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1704, s1.loss_cls: 0.0477, s1.acc: 96.3593, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0815, s2.loss_cls: 0.0248, s2.acc: 96.2024, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0389, loss: 0.8204 2022-09-16 05:59:59,951 - mmdet - INFO - Epoch [32][1100/7330] lr: 1.000e-05, eta: 12:09:30, time: 1.230, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1399, s0.loss_cls: 0.1112, s0.acc: 95.7776, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1764, s1.loss_cls: 0.0509, s1.acc: 96.1850, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0842, s2.loss_cls: 0.0262, s2.acc: 95.9715, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0402, loss: 0.8548 2022-09-16 06:01:04,685 - mmdet - INFO - Epoch [32][1150/7330] lr: 1.000e-05, eta: 12:08:30, time: 1.294, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1308, s0.loss_cls: 0.0989, s0.acc: 96.2202, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1755, s1.loss_cls: 0.0458, s1.acc: 96.5211, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0839, s2.loss_cls: 0.0236, s2.acc: 96.3654, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0402, loss: 0.8174 2022-09-16 06:02:07,194 - mmdet - INFO - Epoch [32][1200/7330] lr: 1.000e-05, eta: 12:07:29, time: 1.249, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1390, s0.loss_cls: 0.1018, s0.acc: 96.1658, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1696, s1.loss_cls: 0.0477, s1.acc: 96.4037, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0813, s2.loss_cls: 0.0245, s2.acc: 96.1816, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0389, loss: 0.8200 2022-09-16 06:03:08,355 - mmdet - INFO - Epoch [32][1250/7330] lr: 1.000e-05, eta: 12:06:27, time: 1.226, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1369, s0.loss_cls: 0.0984, s0.acc: 96.2832, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1722, s1.loss_cls: 0.0457, s1.acc: 96.5258, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0823, s2.loss_cls: 0.0239, s2.acc: 96.3717, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0391, loss: 0.8146 2022-09-16 06:04:08,780 - mmdet - INFO - Epoch [32][1300/7330] lr: 1.000e-05, eta: 12:05:25, time: 1.208, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1358, s0.loss_cls: 0.1028, s0.acc: 96.0984, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1704, s1.loss_cls: 0.0470, s1.acc: 96.4250, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0816, s2.loss_cls: 0.0243, s2.acc: 96.2544, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0390, loss: 0.8197 2022-09-16 06:05:10,424 - mmdet - INFO - Epoch [32][1350/7330] lr: 1.000e-05, eta: 12:04:24, time: 1.233, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1404, s0.loss_cls: 0.1073, s0.acc: 95.9417, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1719, s1.loss_cls: 0.0494, s1.acc: 96.2666, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0818, s2.loss_cls: 0.0254, s2.acc: 96.1116, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0389, loss: 0.8348 2022-09-16 06:06:11,479 - mmdet - INFO - Epoch [32][1400/7330] lr: 1.000e-05, eta: 12:03:22, time: 1.221, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1327, s0.loss_cls: 0.1019, s0.acc: 96.1467, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1724, s1.loss_cls: 0.0479, s1.acc: 96.3859, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0821, s2.loss_cls: 0.0250, s2.acc: 96.2042, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0391, loss: 0.8174 2022-09-16 06:07:11,668 - mmdet - INFO - Epoch [32][1450/7330] lr: 1.000e-05, eta: 12:02:19, time: 1.204, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1379, s0.loss_cls: 0.0988, s0.acc: 96.2458, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1722, s1.loss_cls: 0.0459, s1.acc: 96.5594, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0829, s2.loss_cls: 0.0240, s2.acc: 96.2851, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0394, loss: 0.8168 2022-09-16 06:08:12,036 - mmdet - INFO - Epoch [32][1500/7330] lr: 1.000e-05, eta: 12:01:17, time: 1.207, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1306, s0.loss_cls: 0.1009, s0.acc: 96.1086, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1697, s1.loss_cls: 0.0465, s1.acc: 96.3542, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0809, s2.loss_cls: 0.0244, s2.acc: 96.1744, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0385, loss: 0.8077 2022-09-16 06:09:13,714 - mmdet - INFO - Epoch [32][1550/7330] lr: 1.000e-05, eta: 12:00:15, time: 1.233, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1337, s0.loss_cls: 0.0999, s0.acc: 96.2451, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1679, s1.loss_cls: 0.0457, s1.acc: 96.5660, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0802, s2.loss_cls: 0.0242, s2.acc: 96.3295, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0380, loss: 0.8004 2022-09-16 06:10:14,683 - mmdet - INFO - Epoch [32][1600/7330] lr: 1.000e-05, eta: 11:59:13, time: 1.218, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1318, s0.loss_cls: 0.0995, s0.acc: 96.2725, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1691, s1.loss_cls: 0.0463, s1.acc: 96.4771, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0805, s2.loss_cls: 0.0241, s2.acc: 96.2270, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0383, loss: 0.8034 2022-09-16 06:11:15,554 - mmdet - INFO - Epoch [32][1650/7330] lr: 1.000e-05, eta: 11:58:11, time: 1.219, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1402, s0.loss_cls: 0.0971, s0.acc: 96.3193, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1658, s1.loss_cls: 0.0452, s1.acc: 96.6088, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0792, s2.loss_cls: 0.0235, s2.acc: 96.4103, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0379, loss: 0.7995 2022-09-16 06:12:16,530 - mmdet - INFO - Epoch [32][1700/7330] lr: 1.000e-05, eta: 11:57:09, time: 1.220, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1364, s0.loss_cls: 0.1009, s0.acc: 96.1970, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1698, s1.loss_cls: 0.0478, s1.acc: 96.4082, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0816, s2.loss_cls: 0.0246, s2.acc: 96.2692, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0384, loss: 0.8154 2022-09-16 06:13:16,083 - mmdet - INFO - Epoch [32][1750/7330] lr: 1.000e-05, eta: 11:56:07, time: 1.191, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0185, loss_semantic_seg: 0.1371, s0.loss_cls: 0.0952, s0.acc: 96.4163, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1635, s1.loss_cls: 0.0436, s1.acc: 96.7455, s1.loss_bbox: 0.0680, s1.loss_mask: 0.0781, s2.loss_cls: 0.0227, s2.acc: 96.4969, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0374, loss: 0.7803 2022-09-16 06:14:16,939 - mmdet - INFO - Epoch [32][1800/7330] lr: 1.000e-05, eta: 11:55:05, time: 1.217, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1306, s0.loss_cls: 0.0998, s0.acc: 96.2529, s0.loss_bbox: 0.0552, s0.loss_mask: 0.1662, s1.loss_cls: 0.0466, s1.acc: 96.5007, s1.loss_bbox: 0.0683, s1.loss_mask: 0.0792, s2.loss_cls: 0.0239, s2.acc: 96.3211, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0380, loss: 0.7902 2022-09-16 06:15:17,896 - mmdet - INFO - Epoch [32][1850/7330] lr: 1.000e-05, eta: 11:54:03, time: 1.219, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1329, s0.loss_cls: 0.0997, s0.acc: 96.1855, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1683, s1.loss_cls: 0.0462, s1.acc: 96.5085, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0803, s2.loss_cls: 0.0239, s2.acc: 96.3344, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0382, loss: 0.8011 2022-09-16 06:16:19,306 - mmdet - INFO - Epoch [32][1900/7330] lr: 1.000e-05, eta: 11:53:01, time: 1.228, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0227, loss_semantic_seg: 0.1380, s0.loss_cls: 0.1068, s0.acc: 95.8948, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1731, s1.loss_cls: 0.0503, s1.acc: 96.0937, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0823, s2.loss_cls: 0.0263, s2.acc: 95.9293, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0389, loss: 0.8453 2022-09-16 06:17:20,240 - mmdet - INFO - Epoch [32][1950/7330] lr: 1.000e-05, eta: 11:51:59, time: 1.219, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1325, s0.loss_cls: 0.0980, s0.acc: 96.2808, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1694, s1.loss_cls: 0.0459, s1.acc: 96.5647, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0810, s2.loss_cls: 0.0235, s2.acc: 96.3527, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0389, loss: 0.7992 2022-09-16 06:18:20,567 - mmdet - INFO - Epoch [32][2000/7330] lr: 1.000e-05, eta: 11:50:57, time: 1.206, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1390, s0.loss_cls: 0.0993, s0.acc: 96.1511, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1725, s1.loss_cls: 0.0462, s1.acc: 96.3873, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0823, s2.loss_cls: 0.0245, s2.acc: 96.1112, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0389, loss: 0.8198 2022-09-16 06:19:22,137 - mmdet - INFO - Epoch [32][2050/7330] lr: 1.000e-05, eta: 11:49:55, time: 1.232, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1036, s0.acc: 96.0940, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1671, s1.loss_cls: 0.0476, s1.acc: 96.3915, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0793, s2.loss_cls: 0.0247, s2.acc: 96.1439, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0375, loss: 0.8204 2022-09-16 06:20:22,013 - mmdet - INFO - Epoch [32][2100/7330] lr: 1.000e-05, eta: 11:48:52, time: 1.198, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1389, s0.loss_cls: 0.0959, s0.acc: 96.3779, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1641, s1.loss_cls: 0.0440, s1.acc: 96.6609, s1.loss_bbox: 0.0667, s1.loss_mask: 0.0779, s2.loss_cls: 0.0225, s2.acc: 96.5526, s2.loss_bbox: 0.0472, s2.loss_mask: 0.0372, loss: 0.7831 2022-09-16 06:21:22,409 - mmdet - INFO - Epoch [32][2150/7330] lr: 1.000e-05, eta: 11:47:50, time: 1.208, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1351, s0.loss_cls: 0.0922, s0.acc: 96.4680, s0.loss_bbox: 0.0550, s0.loss_mask: 0.1646, s1.loss_cls: 0.0428, s1.acc: 96.7721, s1.loss_bbox: 0.0691, s1.loss_mask: 0.0787, s2.loss_cls: 0.0224, s2.acc: 96.5790, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0379, loss: 0.7782 2022-09-16 06:22:23,454 - mmdet - INFO - Epoch [32][2200/7330] lr: 1.000e-05, eta: 11:46:48, time: 1.221, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1352, s0.loss_cls: 0.1009, s0.acc: 96.1907, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1688, s1.loss_cls: 0.0471, s1.acc: 96.4033, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0806, s2.loss_cls: 0.0245, s2.acc: 96.2253, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0382, loss: 0.8088 2022-09-16 06:23:24,667 - mmdet - INFO - Epoch [32][2250/7330] lr: 1.000e-05, eta: 11:45:47, time: 1.224, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1320, s0.loss_cls: 0.0987, s0.acc: 96.1843, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1706, s1.loss_cls: 0.0460, s1.acc: 96.4941, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0818, s2.loss_cls: 0.0241, s2.acc: 96.2917, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0389, loss: 0.8080 2022-09-16 06:24:26,611 - mmdet - INFO - Epoch [32][2300/7330] lr: 1.000e-05, eta: 11:44:45, time: 1.239, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1336, s0.loss_cls: 0.1012, s0.acc: 96.1946, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1739, s1.loss_cls: 0.0474, s1.acc: 96.4509, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0823, s2.loss_cls: 0.0242, s2.acc: 96.2614, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0389, loss: 0.8158 2022-09-16 06:25:27,788 - mmdet - INFO - Epoch [32][2350/7330] lr: 1.000e-05, eta: 11:43:43, time: 1.223, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0186, loss_semantic_seg: 0.1385, s0.loss_cls: 0.0929, s0.acc: 96.4585, s0.loss_bbox: 0.0548, s0.loss_mask: 0.1680, s1.loss_cls: 0.0427, s1.acc: 96.7332, s1.loss_bbox: 0.0677, s1.loss_mask: 0.0797, s2.loss_cls: 0.0227, s2.acc: 96.4783, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0379, loss: 0.7836 2022-09-16 06:26:28,583 - mmdet - INFO - Epoch [32][2400/7330] lr: 1.000e-05, eta: 11:42:41, time: 1.215, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1334, s0.loss_cls: 0.1030, s0.acc: 96.1416, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1708, s1.loss_cls: 0.0476, s1.acc: 96.3681, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0814, s2.loss_cls: 0.0250, s2.acc: 96.1201, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0389, loss: 0.8166 2022-09-16 06:27:29,174 - mmdet - INFO - Epoch [32][2450/7330] lr: 1.000e-05, eta: 11:41:39, time: 1.213, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1281, s0.loss_cls: 0.1011, s0.acc: 96.1907, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1749, s1.loss_cls: 0.0468, s1.acc: 96.4600, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0835, s2.loss_cls: 0.0238, s2.acc: 96.2891, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0400, loss: 0.8169 2022-09-16 06:28:30,889 - mmdet - INFO - Epoch [32][2500/7330] lr: 1.000e-05, eta: 11:40:38, time: 1.234, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1476, s0.loss_cls: 0.1017, s0.acc: 96.0957, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1664, s1.loss_cls: 0.0467, s1.acc: 96.4091, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0798, s2.loss_cls: 0.0246, s2.acc: 96.1663, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0381, loss: 0.8214 2022-09-16 06:29:32,231 - mmdet - INFO - Epoch [32][2550/7330] lr: 1.000e-05, eta: 11:39:36, time: 1.227, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1335, s0.loss_cls: 0.0979, s0.acc: 96.1763, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1666, s1.loss_cls: 0.0455, s1.acc: 96.4855, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0795, s2.loss_cls: 0.0238, s2.acc: 96.2977, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0379, loss: 0.7982 2022-09-16 06:30:33,167 - mmdet - INFO - Epoch [32][2600/7330] lr: 1.000e-05, eta: 11:38:34, time: 1.218, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1023, s0.acc: 96.1145, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1650, s1.loss_cls: 0.0484, s1.acc: 96.3392, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0791, s2.loss_cls: 0.0251, s2.acc: 96.1017, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0377, loss: 0.8128 2022-09-16 06:31:34,095 - mmdet - INFO - Epoch [32][2650/7330] lr: 1.000e-05, eta: 11:37:32, time: 1.218, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1400, s0.loss_cls: 0.1036, s0.acc: 95.9963, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1722, s1.loss_cls: 0.0490, s1.acc: 96.1994, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0813, s2.loss_cls: 0.0256, s2.acc: 95.9976, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0388, loss: 0.8274 2022-09-16 06:32:35,029 - mmdet - INFO - Epoch [32][2700/7330] lr: 1.000e-05, eta: 11:36:30, time: 1.219, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1344, s0.loss_cls: 0.1007, s0.acc: 96.2283, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1710, s1.loss_cls: 0.0463, s1.acc: 96.5238, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0816, s2.loss_cls: 0.0242, s2.acc: 96.2736, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0390, loss: 0.8120 2022-09-16 06:33:37,027 - mmdet - INFO - Epoch [32][2750/7330] lr: 1.000e-05, eta: 11:35:29, time: 1.240, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1372, s0.loss_cls: 0.1034, s0.acc: 96.0591, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1728, s1.loss_cls: 0.0482, s1.acc: 96.3515, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0828, s2.loss_cls: 0.0248, s2.acc: 96.1950, s2.loss_bbox: 0.0530, s2.loss_mask: 0.0395, loss: 0.8343 2022-09-16 06:34:37,157 - mmdet - INFO - Epoch [32][2800/7330] lr: 1.000e-05, eta: 11:34:27, time: 1.203, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1394, s0.loss_cls: 0.1023, s0.acc: 96.1023, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1683, s1.loss_cls: 0.0481, s1.acc: 96.4048, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0805, s2.loss_cls: 0.0246, s2.acc: 96.2675, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0386, loss: 0.8123 2022-09-16 06:35:37,919 - mmdet - INFO - Epoch [32][2850/7330] lr: 1.000e-05, eta: 11:33:25, time: 1.215, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0224, loss_semantic_seg: 0.1359, s0.loss_cls: 0.1082, s0.acc: 95.8765, s0.loss_bbox: 0.0641, s0.loss_mask: 0.1715, s1.loss_cls: 0.0496, s1.acc: 96.2867, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0817, s2.loss_cls: 0.0259, s2.acc: 96.0651, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0388, loss: 0.8420 2022-09-16 06:36:38,229 - mmdet - INFO - Epoch [32][2900/7330] lr: 1.000e-05, eta: 11:32:22, time: 1.207, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1370, s0.loss_cls: 0.0989, s0.acc: 96.2034, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1729, s1.loss_cls: 0.0459, s1.acc: 96.4992, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0823, s2.loss_cls: 0.0242, s2.acc: 96.2123, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0392, loss: 0.8165 2022-09-16 06:37:39,654 - mmdet - INFO - Epoch [32][2950/7330] lr: 1.000e-05, eta: 11:31:21, time: 1.229, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1296, s0.loss_cls: 0.0962, s0.acc: 96.2971, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1641, s1.loss_cls: 0.0437, s1.acc: 96.6585, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0779, s2.loss_cls: 0.0232, s2.acc: 96.3867, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0367, loss: 0.7858 2022-09-16 06:38:39,011 - mmdet - INFO - Epoch [32][3000/7330] lr: 1.000e-05, eta: 11:30:18, time: 1.187, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1359, s0.loss_cls: 0.1004, s0.acc: 96.2107, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1675, s1.loss_cls: 0.0462, s1.acc: 96.5392, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0801, s2.loss_cls: 0.0238, s2.acc: 96.3694, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0383, loss: 0.8079 2022-09-16 06:39:39,739 - mmdet - INFO - Epoch [32][3050/7330] lr: 1.000e-05, eta: 11:29:16, time: 1.215, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1398, s0.loss_cls: 0.0979, s0.acc: 96.3035, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1646, s1.loss_cls: 0.0452, s1.acc: 96.6259, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0784, s2.loss_cls: 0.0236, s2.acc: 96.4188, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0373, loss: 0.7951 2022-09-16 06:40:41,026 - mmdet - INFO - Epoch [32][3100/7330] lr: 1.000e-05, eta: 11:28:14, time: 1.224, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1022, s0.acc: 96.1428, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1747, s1.loss_cls: 0.0471, s1.acc: 96.4651, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0833, s2.loss_cls: 0.0245, s2.acc: 96.2930, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0397, loss: 0.8321 2022-09-16 06:41:41,663 - mmdet - INFO - Epoch [32][3150/7330] lr: 1.000e-05, eta: 11:27:12, time: 1.215, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1309, s0.loss_cls: 0.1013, s0.acc: 96.1914, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1696, s1.loss_cls: 0.0471, s1.acc: 96.4410, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0818, s2.loss_cls: 0.0248, s2.acc: 96.2265, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0393, loss: 0.8090 2022-09-16 06:42:43,744 - mmdet - INFO - Epoch [32][3200/7330] lr: 1.000e-05, eta: 11:26:11, time: 1.242, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1356, s0.loss_cls: 0.1048, s0.acc: 96.0042, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1722, s1.loss_cls: 0.0486, s1.acc: 96.2647, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0825, s2.loss_cls: 0.0255, s2.acc: 96.0364, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0395, loss: 0.8323 2022-09-16 06:43:45,892 - mmdet - INFO - Epoch [32][3250/7330] lr: 1.000e-05, eta: 11:25:10, time: 1.243, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1355, s0.loss_cls: 0.0991, s0.acc: 96.2222, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1670, s1.loss_cls: 0.0454, s1.acc: 96.5048, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0797, s2.loss_cls: 0.0235, s2.acc: 96.3357, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0379, loss: 0.8024 2022-09-16 06:44:47,194 - mmdet - INFO - Epoch [32][3300/7330] lr: 1.000e-05, eta: 11:24:08, time: 1.226, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1365, s0.loss_cls: 0.1015, s0.acc: 96.1897, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1704, s1.loss_cls: 0.0460, s1.acc: 96.5463, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0809, s2.loss_cls: 0.0242, s2.acc: 96.2613, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0386, loss: 0.8203 2022-09-16 06:45:48,871 - mmdet - INFO - Epoch [32][3350/7330] lr: 1.000e-05, eta: 11:23:06, time: 1.233, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1334, s0.loss_cls: 0.0993, s0.acc: 96.2307, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1720, s1.loss_cls: 0.0460, s1.acc: 96.5401, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0819, s2.loss_cls: 0.0238, s2.acc: 96.3720, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0388, loss: 0.8128 2022-09-16 06:46:49,454 - mmdet - INFO - Epoch [32][3400/7330] lr: 1.000e-05, eta: 11:22:04, time: 1.212, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1392, s0.loss_cls: 0.0996, s0.acc: 96.2214, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1659, s1.loss_cls: 0.0463, s1.acc: 96.4526, s1.loss_bbox: 0.0689, s1.loss_mask: 0.0796, s2.loss_cls: 0.0238, s2.acc: 96.3359, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0381, loss: 0.8013 2022-09-16 06:47:49,975 - mmdet - INFO - Epoch [32][3450/7330] lr: 1.000e-05, eta: 11:21:02, time: 1.210, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1344, s0.loss_cls: 0.1006, s0.acc: 96.1851, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1708, s1.loss_cls: 0.0457, s1.acc: 96.5809, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0802, s2.loss_cls: 0.0235, s2.acc: 96.3690, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0381, loss: 0.8092 2022-09-16 06:48:50,881 - mmdet - INFO - Epoch [32][3500/7330] lr: 1.000e-05, eta: 11:20:00, time: 1.218, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1381, s0.loss_cls: 0.0990, s0.acc: 96.2339, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1744, s1.loss_cls: 0.0456, s1.acc: 96.5390, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0835, s2.loss_cls: 0.0231, s2.acc: 96.4322, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0399, loss: 0.8217 2022-09-16 06:49:50,582 - mmdet - INFO - Epoch [32][3550/7330] lr: 1.000e-05, eta: 11:18:58, time: 1.195, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1283, s0.loss_cls: 0.0973, s0.acc: 96.2622, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1690, s1.loss_cls: 0.0458, s1.acc: 96.5208, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0802, s2.loss_cls: 0.0240, s2.acc: 96.2609, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0381, loss: 0.8000 2022-09-16 06:50:50,466 - mmdet - INFO - Epoch [32][3600/7330] lr: 1.000e-05, eta: 11:17:55, time: 1.198, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1369, s0.loss_cls: 0.0966, s0.acc: 96.3110, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1668, s1.loss_cls: 0.0447, s1.acc: 96.5976, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0792, s2.loss_cls: 0.0231, s2.acc: 96.3850, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0378, loss: 0.7950 2022-09-16 06:51:52,175 - mmdet - INFO - Epoch [32][3650/7330] lr: 1.000e-05, eta: 11:16:54, time: 1.234, data_time: 0.037, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1347, s0.loss_cls: 0.1002, s0.acc: 96.1909, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1689, s1.loss_cls: 0.0459, s1.acc: 96.4409, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0803, s2.loss_cls: 0.0236, s2.acc: 96.2616, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0382, loss: 0.8090 2022-09-16 06:52:53,185 - mmdet - INFO - Epoch [32][3700/7330] lr: 1.000e-05, eta: 11:15:52, time: 1.220, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1339, s0.loss_cls: 0.1054, s0.acc: 95.8894, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1738, s1.loss_cls: 0.0487, s1.acc: 96.2479, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0831, s2.loss_cls: 0.0252, s2.acc: 96.0074, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0398, loss: 0.8347 2022-09-16 06:53:53,512 - mmdet - INFO - Epoch [32][3750/7330] lr: 1.000e-05, eta: 11:14:49, time: 1.207, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1404, s0.loss_cls: 0.1028, s0.acc: 96.1321, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1729, s1.loss_cls: 0.0477, s1.acc: 96.4009, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0832, s2.loss_cls: 0.0249, s2.acc: 96.2161, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0396, loss: 0.8291 2022-09-16 06:54:55,100 - mmdet - INFO - Epoch [32][3800/7330] lr: 1.000e-05, eta: 11:13:48, time: 1.231, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1307, s0.loss_cls: 0.0998, s0.acc: 96.2021, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1695, s1.loss_cls: 0.0469, s1.acc: 96.4171, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0815, s2.loss_cls: 0.0248, s2.acc: 96.1127, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0388, loss: 0.8072 2022-09-16 06:55:56,913 - mmdet - INFO - Epoch [32][3850/7330] lr: 1.000e-05, eta: 11:12:47, time: 1.237, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1389, s0.loss_cls: 0.0983, s0.acc: 96.2407, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1664, s1.loss_cls: 0.0467, s1.acc: 96.4749, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0793, s2.loss_cls: 0.0242, s2.acc: 96.3013, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0377, loss: 0.8007 2022-09-16 06:56:57,713 - mmdet - INFO - Epoch [32][3900/7330] lr: 1.000e-05, eta: 11:11:45, time: 1.216, data_time: 0.014, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1297, s0.loss_cls: 0.0950, s0.acc: 96.3867, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1682, s1.loss_cls: 0.0438, s1.acc: 96.6606, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0803, s2.loss_cls: 0.0228, s2.acc: 96.4687, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0381, loss: 0.7895 2022-09-16 06:57:58,775 - mmdet - INFO - Epoch [32][3950/7330] lr: 1.000e-05, eta: 11:10:43, time: 1.221, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1061, s0.acc: 96.0095, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1710, s1.loss_cls: 0.0498, s1.acc: 96.2287, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0813, s2.loss_cls: 0.0260, s2.acc: 96.0401, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0388, loss: 0.8337 2022-09-16 06:58:59,345 - mmdet - INFO - Epoch [32][4000/7330] lr: 1.000e-05, eta: 11:09:41, time: 1.211, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1277, s0.loss_cls: 0.0956, s0.acc: 96.3447, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1674, s1.loss_cls: 0.0446, s1.acc: 96.5941, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0794, s2.loss_cls: 0.0232, s2.acc: 96.4125, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0377, loss: 0.7848 2022-09-16 06:59:59,892 - mmdet - INFO - Epoch [32][4050/7330] lr: 1.000e-05, eta: 11:08:39, time: 1.211, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1328, s0.loss_cls: 0.0972, s0.acc: 96.3181, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1727, s1.loss_cls: 0.0450, s1.acc: 96.6195, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0824, s2.loss_cls: 0.0233, s2.acc: 96.4080, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0390, loss: 0.8041 2022-09-16 07:01:01,312 - mmdet - INFO - Epoch [32][4100/7330] lr: 1.000e-05, eta: 11:07:37, time: 1.228, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1359, s0.loss_cls: 0.1042, s0.acc: 96.0032, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1717, s1.loss_cls: 0.0489, s1.acc: 96.2812, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0820, s2.loss_cls: 0.0252, s2.acc: 96.0885, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0389, loss: 0.8272 2022-09-16 07:02:02,938 - mmdet - INFO - Epoch [32][4150/7330] lr: 1.000e-05, eta: 11:06:35, time: 1.233, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1356, s0.loss_cls: 0.0965, s0.acc: 96.3701, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1654, s1.loss_cls: 0.0440, s1.acc: 96.6921, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0795, s2.loss_cls: 0.0226, s2.acc: 96.5659, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0380, loss: 0.7900 2022-09-16 07:03:04,841 - mmdet - INFO - Epoch [32][4200/7330] lr: 1.000e-05, eta: 11:05:34, time: 1.237, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1332, s0.loss_cls: 0.1121, s0.acc: 95.7253, s0.loss_bbox: 0.0664, s0.loss_mask: 0.1814, s1.loss_cls: 0.0524, s1.acc: 96.0655, s1.loss_bbox: 0.0806, s1.loss_mask: 0.0859, s2.loss_cls: 0.0272, s2.acc: 95.8502, s2.loss_bbox: 0.0544, s2.loss_mask: 0.0405, loss: 0.8714 2022-09-16 07:04:05,080 - mmdet - INFO - Epoch [32][4250/7330] lr: 1.000e-05, eta: 11:04:32, time: 1.205, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1377, s0.loss_cls: 0.1069, s0.acc: 95.9756, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1674, s1.loss_cls: 0.0499, s1.acc: 96.2361, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0797, s2.loss_cls: 0.0261, s2.acc: 95.9547, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0379, loss: 0.8283 2022-09-16 07:05:06,300 - mmdet - INFO - Epoch [32][4300/7330] lr: 1.000e-05, eta: 11:03:30, time: 1.224, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1299, s0.loss_cls: 0.0967, s0.acc: 96.3042, s0.loss_bbox: 0.0548, s0.loss_mask: 0.1649, s1.loss_cls: 0.0449, s1.acc: 96.6081, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0793, s2.loss_cls: 0.0235, s2.acc: 96.3490, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0380, loss: 0.7840 2022-09-16 07:06:07,974 - mmdet - INFO - Epoch [32][4350/7330] lr: 1.000e-05, eta: 11:02:29, time: 1.233, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1378, s0.loss_cls: 0.1037, s0.acc: 96.0129, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1697, s1.loss_cls: 0.0485, s1.acc: 96.2778, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0811, s2.loss_cls: 0.0252, s2.acc: 96.0788, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0388, loss: 0.8306 2022-09-16 07:07:08,068 - mmdet - INFO - Epoch [32][4400/7330] lr: 1.000e-05, eta: 11:01:26, time: 1.202, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1392, s0.loss_cls: 0.1006, s0.acc: 96.1226, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1676, s1.loss_cls: 0.0460, s1.acc: 96.4759, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0806, s2.loss_cls: 0.0240, s2.acc: 96.2459, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0385, loss: 0.8111 2022-09-16 07:08:09,375 - mmdet - INFO - Epoch [32][4450/7330] lr: 1.000e-05, eta: 11:00:25, time: 1.226, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1364, s0.loss_cls: 0.1040, s0.acc: 96.0657, s0.loss_bbox: 0.0629, s0.loss_mask: 0.1689, s1.loss_cls: 0.0484, s1.acc: 96.3393, s1.loss_bbox: 0.0752, s1.loss_mask: 0.0806, s2.loss_cls: 0.0247, s2.acc: 96.2486, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0385, loss: 0.8273 2022-09-16 07:09:10,748 - mmdet - INFO - Epoch [32][4500/7330] lr: 1.000e-05, eta: 10:59:23, time: 1.227, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1316, s0.loss_cls: 0.0993, s0.acc: 96.2922, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1658, s1.loss_cls: 0.0455, s1.acc: 96.6449, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0796, s2.loss_cls: 0.0235, s2.acc: 96.5237, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0380, loss: 0.7949 2022-09-16 07:10:12,292 - mmdet - INFO - Epoch [32][4550/7330] lr: 1.000e-05, eta: 10:58:22, time: 1.231, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1408, s0.loss_cls: 0.1001, s0.acc: 96.1738, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1617, s1.loss_cls: 0.0469, s1.acc: 96.4101, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0774, s2.loss_cls: 0.0242, s2.acc: 96.2185, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0370, loss: 0.7963 2022-09-16 07:11:14,056 - mmdet - INFO - Epoch [32][4600/7330] lr: 1.000e-05, eta: 10:57:20, time: 1.233, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1346, s0.loss_cls: 0.1016, s0.acc: 96.1409, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1684, s1.loss_cls: 0.0471, s1.acc: 96.4081, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0807, s2.loss_cls: 0.0244, s2.acc: 96.1971, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0384, loss: 0.8131 2022-09-16 07:12:15,765 - mmdet - INFO - Epoch [32][4650/7330] lr: 1.000e-05, eta: 10:56:19, time: 1.236, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1403, s0.loss_cls: 0.1057, s0.acc: 96.0112, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1752, s1.loss_cls: 0.0485, s1.acc: 96.4101, s1.loss_bbox: 0.0762, s1.loss_mask: 0.0834, s2.loss_cls: 0.0254, s2.acc: 96.2034, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0399, loss: 0.8434 2022-09-16 07:13:16,971 - mmdet - INFO - Epoch [32][4700/7330] lr: 1.000e-05, eta: 10:55:17, time: 1.224, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1355, s0.loss_cls: 0.1000, s0.acc: 96.2065, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1693, s1.loss_cls: 0.0456, s1.acc: 96.5479, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0803, s2.loss_cls: 0.0239, s2.acc: 96.3532, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0384, loss: 0.8076 2022-09-16 07:14:19,373 - mmdet - INFO - Epoch [32][4750/7330] lr: 1.000e-05, eta: 10:54:16, time: 1.248, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1369, s0.loss_cls: 0.1003, s0.acc: 96.1931, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1694, s1.loss_cls: 0.0469, s1.acc: 96.4487, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0808, s2.loss_cls: 0.0243, s2.acc: 96.2261, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0383, loss: 0.8168 2022-09-16 07:15:20,092 - mmdet - INFO - Epoch [32][4800/7330] lr: 1.000e-05, eta: 10:53:14, time: 1.214, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1389, s0.loss_cls: 0.1045, s0.acc: 96.0186, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1682, s1.loss_cls: 0.0491, s1.acc: 96.2978, s1.loss_bbox: 0.0739, s1.loss_mask: 0.0800, s2.loss_cls: 0.0257, s2.acc: 96.0802, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0381, loss: 0.8254 2022-09-16 07:16:20,645 - mmdet - INFO - Epoch [32][4850/7330] lr: 1.000e-05, eta: 10:52:12, time: 1.211, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1317, s0.loss_cls: 0.1028, s0.acc: 96.1296, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1695, s1.loss_cls: 0.0476, s1.acc: 96.4107, s1.loss_bbox: 0.0702, s1.loss_mask: 0.0804, s2.loss_cls: 0.0242, s2.acc: 96.2017, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0383, loss: 0.8088 2022-09-16 07:17:21,584 - mmdet - INFO - Epoch [32][4900/7330] lr: 1.000e-05, eta: 10:51:10, time: 1.219, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1402, s0.loss_cls: 0.1012, s0.acc: 96.1780, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1674, s1.loss_cls: 0.0468, s1.acc: 96.4544, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0795, s2.loss_cls: 0.0242, s2.acc: 96.2787, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0380, loss: 0.8114 2022-09-16 07:18:23,510 - mmdet - INFO - Epoch [32][4950/7330] lr: 1.000e-05, eta: 10:50:09, time: 1.238, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0229, loss_semantic_seg: 0.1339, s0.loss_cls: 0.1018, s0.acc: 96.1211, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1700, s1.loss_cls: 0.0475, s1.acc: 96.4364, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0811, s2.loss_cls: 0.0246, s2.acc: 96.1962, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0388, loss: 0.8143 2022-09-16 07:19:25,048 - mmdet - INFO - Epoch [32][5000/7330] lr: 1.000e-05, eta: 10:49:07, time: 1.231, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1351, s0.loss_cls: 0.1084, s0.acc: 95.8467, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1708, s1.loss_cls: 0.0499, s1.acc: 96.2310, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0810, s2.loss_cls: 0.0256, s2.acc: 96.0951, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0384, loss: 0.8360 2022-09-16 07:20:26,302 - mmdet - INFO - Epoch [32][5050/7330] lr: 1.000e-05, eta: 10:48:06, time: 1.225, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1375, s0.loss_cls: 0.1026, s0.acc: 96.0649, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1690, s1.loss_cls: 0.0491, s1.acc: 96.2516, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0807, s2.loss_cls: 0.0254, s2.acc: 95.9949, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0384, loss: 0.8140 2022-09-16 07:21:28,512 - mmdet - INFO - Epoch [32][5100/7330] lr: 1.000e-05, eta: 10:47:04, time: 1.244, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1393, s0.loss_cls: 0.1005, s0.acc: 96.1538, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1654, s1.loss_cls: 0.0472, s1.acc: 96.4340, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0790, s2.loss_cls: 0.0247, s2.acc: 96.2574, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0378, loss: 0.8087 2022-09-16 07:22:29,532 - mmdet - INFO - Epoch [32][5150/7330] lr: 1.000e-05, eta: 10:46:03, time: 1.219, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0942, s0.acc: 96.3750, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1653, s1.loss_cls: 0.0429, s1.acc: 96.7713, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0788, s2.loss_cls: 0.0221, s2.acc: 96.5554, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0376, loss: 0.7825 2022-09-16 07:23:31,368 - mmdet - INFO - Epoch [32][5200/7330] lr: 1.000e-05, eta: 10:45:01, time: 1.237, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1381, s0.loss_cls: 0.1030, s0.acc: 96.1128, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1700, s1.loss_cls: 0.0475, s1.acc: 96.4167, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0812, s2.loss_cls: 0.0243, s2.acc: 96.2762, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0387, loss: 0.8279 2022-09-16 07:24:32,719 - mmdet - INFO - Epoch [32][5250/7330] lr: 1.000e-05, eta: 10:44:00, time: 1.226, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1390, s0.loss_cls: 0.1010, s0.acc: 96.1150, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1728, s1.loss_cls: 0.0475, s1.acc: 96.3801, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0827, s2.loss_cls: 0.0249, s2.acc: 96.1485, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0394, loss: 0.8270 2022-09-16 07:25:33,818 - mmdet - INFO - Epoch [32][5300/7330] lr: 1.000e-05, eta: 10:42:58, time: 1.223, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1269, s0.loss_cls: 0.0963, s0.acc: 96.3582, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1659, s1.loss_cls: 0.0447, s1.acc: 96.6486, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0796, s2.loss_cls: 0.0236, s2.acc: 96.4045, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0380, loss: 0.7820 2022-09-16 07:26:34,902 - mmdet - INFO - Epoch [32][5350/7330] lr: 1.000e-05, eta: 10:41:56, time: 1.221, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1338, s0.loss_cls: 0.1025, s0.acc: 96.0979, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1714, s1.loss_cls: 0.0478, s1.acc: 96.3766, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0822, s2.loss_cls: 0.0249, s2.acc: 96.0687, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0385, loss: 0.8234 2022-09-16 07:27:36,529 - mmdet - INFO - Epoch [32][5400/7330] lr: 1.000e-05, eta: 10:40:55, time: 1.233, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1361, s0.loss_cls: 0.1044, s0.acc: 96.1067, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1698, s1.loss_cls: 0.0481, s1.acc: 96.4061, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0808, s2.loss_cls: 0.0250, s2.acc: 96.2476, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0384, loss: 0.8187 2022-09-16 07:28:37,143 - mmdet - INFO - Epoch [32][5450/7330] lr: 1.000e-05, eta: 10:39:53, time: 1.212, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1327, s0.loss_cls: 0.0981, s0.acc: 96.2932, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1715, s1.loss_cls: 0.0454, s1.acc: 96.5780, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0814, s2.loss_cls: 0.0239, s2.acc: 96.3810, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0387, loss: 0.8030 2022-09-16 07:29:37,205 - mmdet - INFO - Epoch [32][5500/7330] lr: 1.000e-05, eta: 10:38:50, time: 1.202, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1351, s0.loss_cls: 0.1012, s0.acc: 96.1611, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1663, s1.loss_cls: 0.0468, s1.acc: 96.4098, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0798, s2.loss_cls: 0.0243, s2.acc: 96.2988, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0384, loss: 0.8059 2022-09-16 07:30:39,733 - mmdet - INFO - Epoch [32][5550/7330] lr: 1.000e-05, eta: 10:37:49, time: 1.251, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1315, s0.loss_cls: 0.1021, s0.acc: 96.1321, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1735, s1.loss_cls: 0.0473, s1.acc: 96.4458, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0828, s2.loss_cls: 0.0246, s2.acc: 96.2524, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0392, loss: 0.8190 2022-09-16 07:31:40,389 - mmdet - INFO - Epoch [32][5600/7330] lr: 1.000e-05, eta: 10:36:47, time: 1.213, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1010, s0.acc: 96.1650, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1664, s1.loss_cls: 0.0475, s1.acc: 96.4369, s1.loss_bbox: 0.0675, s1.loss_mask: 0.0800, s2.loss_cls: 0.0247, s2.acc: 96.2092, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0383, loss: 0.7995 2022-09-16 07:32:40,822 - mmdet - INFO - Epoch [32][5650/7330] lr: 1.000e-05, eta: 10:35:45, time: 1.208, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1375, s0.loss_cls: 0.1021, s0.acc: 96.1851, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1675, s1.loss_cls: 0.0469, s1.acc: 96.5418, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0801, s2.loss_cls: 0.0242, s2.acc: 96.3593, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0382, loss: 0.8116 2022-09-16 07:33:41,878 - mmdet - INFO - Epoch [32][5700/7330] lr: 1.000e-05, eta: 10:34:43, time: 1.221, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1378, s0.loss_cls: 0.1031, s0.acc: 96.0933, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1724, s1.loss_cls: 0.0464, s1.acc: 96.5041, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0822, s2.loss_cls: 0.0242, s2.acc: 96.3513, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0390, loss: 0.8272 2022-09-16 07:34:43,364 - mmdet - INFO - Epoch [32][5750/7330] lr: 1.000e-05, eta: 10:33:42, time: 1.230, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1325, s0.loss_cls: 0.0981, s0.acc: 96.2969, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1664, s1.loss_cls: 0.0453, s1.acc: 96.6278, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0797, s2.loss_cls: 0.0234, s2.acc: 96.3895, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0380, loss: 0.7968 2022-09-16 07:35:44,936 - mmdet - INFO - Epoch [32][5800/7330] lr: 1.000e-05, eta: 10:32:40, time: 1.231, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1346, s0.loss_cls: 0.0998, s0.acc: 96.2244, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1663, s1.loss_cls: 0.0449, s1.acc: 96.6326, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0797, s2.loss_cls: 0.0231, s2.acc: 96.4267, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0381, loss: 0.8003 2022-09-16 07:36:45,731 - mmdet - INFO - Epoch [32][5850/7330] lr: 1.000e-05, eta: 10:31:38, time: 1.216, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1366, s0.loss_cls: 0.0973, s0.acc: 96.3164, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1638, s1.loss_cls: 0.0448, s1.acc: 96.6424, s1.loss_bbox: 0.0677, s1.loss_mask: 0.0784, s2.loss_cls: 0.0232, s2.acc: 96.5362, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0370, loss: 0.7867 2022-09-16 07:37:47,306 - mmdet - INFO - Epoch [32][5900/7330] lr: 1.000e-05, eta: 10:30:37, time: 1.232, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1305, s0.loss_cls: 0.1054, s0.acc: 96.0249, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1708, s1.loss_cls: 0.0484, s1.acc: 96.3707, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0814, s2.loss_cls: 0.0251, s2.acc: 96.1711, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0387, loss: 0.8272 2022-09-16 07:38:48,643 - mmdet - INFO - Epoch [32][5950/7330] lr: 1.000e-05, eta: 10:29:35, time: 1.227, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1401, s0.loss_cls: 0.1043, s0.acc: 96.1189, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1689, s1.loss_cls: 0.0486, s1.acc: 96.4185, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0806, s2.loss_cls: 0.0248, s2.acc: 96.2530, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0383, loss: 0.8195 2022-09-16 07:39:49,704 - mmdet - INFO - Epoch [32][6000/7330] lr: 1.000e-05, eta: 10:28:33, time: 1.221, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1303, s0.loss_cls: 0.0991, s0.acc: 96.2126, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1687, s1.loss_cls: 0.0459, s1.acc: 96.4559, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0799, s2.loss_cls: 0.0238, s2.acc: 96.3637, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0381, loss: 0.7995 2022-09-16 07:40:49,964 - mmdet - INFO - Epoch [32][6050/7330] lr: 1.000e-05, eta: 10:27:31, time: 1.206, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1341, s0.loss_cls: 0.1004, s0.acc: 96.1985, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1677, s1.loss_cls: 0.0471, s1.acc: 96.4743, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0810, s2.loss_cls: 0.0244, s2.acc: 96.2739, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0388, loss: 0.8060 2022-09-16 07:41:51,435 - mmdet - INFO - Epoch [32][6100/7330] lr: 1.000e-05, eta: 10:26:30, time: 1.229, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1334, s0.loss_cls: 0.1068, s0.acc: 95.9829, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1696, s1.loss_cls: 0.0493, s1.acc: 96.3063, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0810, s2.loss_cls: 0.0253, s2.acc: 96.1208, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0383, loss: 0.8206 2022-09-16 07:42:52,312 - mmdet - INFO - Epoch [32][6150/7330] lr: 1.000e-05, eta: 10:25:28, time: 1.217, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1322, s0.loss_cls: 0.1018, s0.acc: 96.1228, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1721, s1.loss_cls: 0.0475, s1.acc: 96.4119, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0820, s2.loss_cls: 0.0249, s2.acc: 96.1217, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0394, loss: 0.8187 2022-09-16 07:43:53,667 - mmdet - INFO - Epoch [32][6200/7330] lr: 1.000e-05, eta: 10:24:26, time: 1.227, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1308, s0.loss_cls: 0.0955, s0.acc: 96.4111, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1663, s1.loss_cls: 0.0437, s1.acc: 96.6825, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0796, s2.loss_cls: 0.0226, s2.acc: 96.5396, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0383, loss: 0.7826 2022-09-16 07:44:55,147 - mmdet - INFO - Epoch [32][6250/7330] lr: 1.000e-05, eta: 10:23:25, time: 1.229, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1321, s0.loss_cls: 0.0981, s0.acc: 96.2363, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1712, s1.loss_cls: 0.0455, s1.acc: 96.5466, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0812, s2.loss_cls: 0.0236, s2.acc: 96.2977, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0389, loss: 0.8044 2022-09-16 07:45:57,010 - mmdet - INFO - Epoch [32][6300/7330] lr: 1.000e-05, eta: 10:22:23, time: 1.237, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1400, s0.loss_cls: 0.1061, s0.acc: 96.0371, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1710, s1.loss_cls: 0.0496, s1.acc: 96.3059, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0818, s2.loss_cls: 0.0260, s2.acc: 96.1016, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0389, loss: 0.8297 2022-09-16 07:46:58,138 - mmdet - INFO - Epoch [32][6350/7330] lr: 1.000e-05, eta: 10:21:22, time: 1.223, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1384, s0.loss_cls: 0.0989, s0.acc: 96.2305, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1680, s1.loss_cls: 0.0462, s1.acc: 96.4655, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0806, s2.loss_cls: 0.0245, s2.acc: 96.1979, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0387, loss: 0.8126 2022-09-16 07:47:58,563 - mmdet - INFO - Epoch [32][6400/7330] lr: 1.000e-05, eta: 10:20:20, time: 1.209, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1341, s0.loss_cls: 0.0990, s0.acc: 96.2834, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1659, s1.loss_cls: 0.0466, s1.acc: 96.5338, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0795, s2.loss_cls: 0.0239, s2.acc: 96.3441, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0380, loss: 0.7976 2022-09-16 07:48:59,644 - mmdet - INFO - Epoch [32][6450/7330] lr: 1.000e-05, eta: 10:19:18, time: 1.222, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1397, s0.loss_cls: 0.1125, s0.acc: 95.7468, s0.loss_bbox: 0.0653, s0.loss_mask: 0.1784, s1.loss_cls: 0.0526, s1.acc: 95.9792, s1.loss_bbox: 0.0782, s1.loss_mask: 0.0847, s2.loss_cls: 0.0269, s2.acc: 95.8515, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0405, loss: 0.8711 2022-09-16 07:50:00,661 - mmdet - INFO - Epoch [32][6500/7330] lr: 1.000e-05, eta: 10:18:16, time: 1.220, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1309, s0.loss_cls: 0.0984, s0.acc: 96.3269, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1668, s1.loss_cls: 0.0457, s1.acc: 96.6357, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0799, s2.loss_cls: 0.0234, s2.acc: 96.4302, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0379, loss: 0.7954 2022-09-16 07:51:02,178 - mmdet - INFO - Epoch [32][6550/7330] lr: 1.000e-05, eta: 10:17:14, time: 1.230, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1415, s0.loss_cls: 0.1046, s0.acc: 96.0161, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1730, s1.loss_cls: 0.0490, s1.acc: 96.2834, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0822, s2.loss_cls: 0.0254, s2.acc: 96.1762, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0391, loss: 0.8345 2022-09-16 07:52:05,432 - mmdet - INFO - Epoch [32][6600/7330] lr: 1.000e-05, eta: 10:16:14, time: 1.265, data_time: 0.036, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1391, s0.loss_cls: 0.0976, s0.acc: 96.2764, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1685, s1.loss_cls: 0.0447, s1.acc: 96.6075, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0804, s2.loss_cls: 0.0233, s2.acc: 96.4821, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0386, loss: 0.8029 2022-09-16 07:53:06,663 - mmdet - INFO - Epoch [32][6650/7330] lr: 1.000e-05, eta: 10:15:12, time: 1.225, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0184, loss_semantic_seg: 0.1304, s0.loss_cls: 0.0930, s0.acc: 96.4661, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1642, s1.loss_cls: 0.0429, s1.acc: 96.7941, s1.loss_bbox: 0.0694, s1.loss_mask: 0.0782, s2.loss_cls: 0.0228, s2.acc: 96.4769, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0369, loss: 0.7706 2022-09-16 07:54:07,889 - mmdet - INFO - Epoch [32][6700/7330] lr: 1.000e-05, eta: 10:14:11, time: 1.224, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1314, s0.loss_cls: 0.0989, s0.acc: 96.2490, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1723, s1.loss_cls: 0.0458, s1.acc: 96.5378, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0822, s2.loss_cls: 0.0240, s2.acc: 96.3191, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0391, loss: 0.8065 2022-09-16 07:55:09,336 - mmdet - INFO - Epoch [32][6750/7330] lr: 1.000e-05, eta: 10:13:09, time: 1.229, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1313, s0.loss_cls: 0.1024, s0.acc: 96.0510, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1687, s1.loss_cls: 0.0477, s1.acc: 96.3280, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0803, s2.loss_cls: 0.0245, s2.acc: 96.2090, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0384, loss: 0.8139 2022-09-16 07:56:10,549 - mmdet - INFO - Epoch [32][6800/7330] lr: 1.000e-05, eta: 10:12:07, time: 1.225, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1363, s0.loss_cls: 0.1003, s0.acc: 96.1826, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1698, s1.loss_cls: 0.0474, s1.acc: 96.3969, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0810, s2.loss_cls: 0.0247, s2.acc: 96.2129, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0384, loss: 0.8089 2022-09-16 07:57:12,568 - mmdet - INFO - Epoch [32][6850/7330] lr: 1.000e-05, eta: 10:11:06, time: 1.240, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1375, s0.loss_cls: 0.0994, s0.acc: 96.1719, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1666, s1.loss_cls: 0.0472, s1.acc: 96.3992, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0793, s2.loss_cls: 0.0242, s2.acc: 96.2629, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0378, loss: 0.8006 2022-09-16 07:58:14,141 - mmdet - INFO - Epoch [32][6900/7330] lr: 1.000e-05, eta: 10:10:05, time: 1.231, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1000, s0.acc: 96.2549, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1693, s1.loss_cls: 0.0466, s1.acc: 96.5494, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0808, s2.loss_cls: 0.0243, s2.acc: 96.3140, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0386, loss: 0.8067 2022-09-16 07:59:15,998 - mmdet - INFO - Epoch [32][6950/7330] lr: 1.000e-05, eta: 10:09:03, time: 1.237, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1424, s0.loss_cls: 0.1007, s0.acc: 96.1421, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1720, s1.loss_cls: 0.0462, s1.acc: 96.4304, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0824, s2.loss_cls: 0.0248, s2.acc: 96.1690, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0393, loss: 0.8256 2022-09-16 08:00:16,957 - mmdet - INFO - Epoch [32][7000/7330] lr: 1.000e-05, eta: 10:08:01, time: 1.220, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1437, s0.loss_cls: 0.1030, s0.acc: 96.0334, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1701, s1.loss_cls: 0.0480, s1.acc: 96.3699, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0814, s2.loss_cls: 0.0249, s2.acc: 96.1613, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0386, loss: 0.8266 2022-09-16 08:01:18,375 - mmdet - INFO - Epoch [32][7050/7330] lr: 1.000e-05, eta: 10:07:00, time: 1.228, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1326, s0.loss_cls: 0.1011, s0.acc: 96.1799, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1693, s1.loss_cls: 0.0467, s1.acc: 96.4746, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0807, s2.loss_cls: 0.0244, s2.acc: 96.2865, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0384, loss: 0.8141 2022-09-16 08:02:19,162 - mmdet - INFO - Epoch [32][7100/7330] lr: 1.000e-05, eta: 10:05:58, time: 1.216, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1333, s0.loss_cls: 0.0994, s0.acc: 96.2698, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1672, s1.loss_cls: 0.0464, s1.acc: 96.5706, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0798, s2.loss_cls: 0.0240, s2.acc: 96.3704, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0380, loss: 0.8004 2022-09-16 08:03:20,219 - mmdet - INFO - Epoch [32][7150/7330] lr: 1.000e-05, eta: 10:04:56, time: 1.221, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1355, s0.loss_cls: 0.1030, s0.acc: 96.0393, s0.loss_bbox: 0.0611, s0.loss_mask: 0.1698, s1.loss_cls: 0.0482, s1.acc: 96.3422, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0810, s2.loss_cls: 0.0247, s2.acc: 96.1250, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0384, loss: 0.8232 2022-09-16 08:04:21,855 - mmdet - INFO - Epoch [32][7200/7330] lr: 1.000e-05, eta: 10:03:55, time: 1.232, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0228, loss_semantic_seg: 0.1343, s0.loss_cls: 0.1024, s0.acc: 96.1453, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1684, s1.loss_cls: 0.0473, s1.acc: 96.4672, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0806, s2.loss_cls: 0.0246, s2.acc: 96.2426, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0384, loss: 0.8227 2022-09-16 08:05:22,620 - mmdet - INFO - Epoch [32][7250/7330] lr: 1.000e-05, eta: 10:02:53, time: 1.216, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1360, s0.loss_cls: 0.0979, s0.acc: 96.2578, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1692, s1.loss_cls: 0.0451, s1.acc: 96.5337, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0802, s2.loss_cls: 0.0235, s2.acc: 96.3272, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0380, loss: 0.8043 2022-09-16 08:06:23,947 - mmdet - INFO - Epoch [32][7300/7330] lr: 1.000e-05, eta: 10:01:51, time: 1.227, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1291, s0.loss_cls: 0.1011, s0.acc: 96.1448, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1668, s1.loss_cls: 0.0460, s1.acc: 96.4983, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0804, s2.loss_cls: 0.0236, s2.acc: 96.3758, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0386, loss: 0.8033 2022-09-16 08:07:10,079 - mmdet - INFO - Saving checkpoint at 32 epochs 2022-09-16 08:10:27,370 - mmdet - INFO - Evaluating bbox... 2022-09-16 08:11:08,945 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.587 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.772 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.646 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.446 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.623 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.725 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.748 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.748 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.748 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.619 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.785 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.866 2022-09-16 08:11:08,945 - mmdet - INFO - Evaluating segm... 2022-09-16 08:11:54,041 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.510 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.753 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.560 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.332 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.541 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.692 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.507 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.683 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.786 2022-09-16 08:11:54,972 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 08:11:54,972 - mmdet - INFO - Epoch(val) [32][313] bbox_mAP: 0.5870, bbox_mAP_50: 0.7720, bbox_mAP_75: 0.6460, bbox_mAP_s: 0.4460, bbox_mAP_m: 0.6230, bbox_mAP_l: 0.7250, bbox_mAP_copypaste: 0.587 0.772 0.646 0.446 0.623 0.725, segm_mAP: 0.5100, segm_mAP_50: 0.7530, segm_mAP_75: 0.5600, segm_mAP_s: 0.3320, segm_mAP_m: 0.5410, segm_mAP_l: 0.6920, segm_mAP_copypaste: 0.510 0.753 0.560 0.332 0.541 0.692 2022-09-16 08:14:38,116 - mmdet - INFO - Epoch [33][50/7330] lr: 1.000e-05, eta: 10:00:45, time: 3.261, data_time: 2.034, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1367, s0.loss_cls: 0.0970, s0.acc: 96.3711, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1668, s1.loss_cls: 0.0445, s1.acc: 96.6473, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0800, s2.loss_cls: 0.0233, s2.acc: 96.3710, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0380, loss: 0.7986 2022-09-16 08:15:38,805 - mmdet - INFO - Epoch [33][100/7330] lr: 1.000e-05, eta: 9:59:43, time: 1.214, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1298, s0.loss_cls: 0.0989, s0.acc: 96.2783, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1689, s1.loss_cls: 0.0450, s1.acc: 96.6095, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0800, s2.loss_cls: 0.0233, s2.acc: 96.4508, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0381, loss: 0.8007 2022-09-16 08:16:40,183 - mmdet - INFO - Epoch [33][150/7330] lr: 1.000e-05, eta: 9:58:41, time: 1.228, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1411, s0.loss_cls: 0.0992, s0.acc: 96.2617, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1636, s1.loss_cls: 0.0461, s1.acc: 96.5302, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0781, s2.loss_cls: 0.0241, s2.acc: 96.3374, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0373, loss: 0.8009 2022-09-16 08:17:42,100 - mmdet - INFO - Epoch [33][200/7330] lr: 1.000e-05, eta: 9:57:40, time: 1.239, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1317, s0.loss_cls: 0.0958, s0.acc: 96.3000, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1669, s1.loss_cls: 0.0446, s1.acc: 96.5605, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0800, s2.loss_cls: 0.0231, s2.acc: 96.3759, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0382, loss: 0.7915 2022-09-16 08:18:43,997 - mmdet - INFO - Epoch [33][250/7330] lr: 1.000e-05, eta: 9:56:38, time: 1.238, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1416, s0.loss_cls: 0.0995, s0.acc: 96.2515, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1645, s1.loss_cls: 0.0458, s1.acc: 96.5778, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0788, s2.loss_cls: 0.0237, s2.acc: 96.3854, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0376, loss: 0.8054 2022-09-16 08:19:44,481 - mmdet - INFO - Epoch [33][300/7330] lr: 1.000e-05, eta: 9:55:36, time: 1.210, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1308, s0.loss_cls: 0.0992, s0.acc: 96.2480, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1670, s1.loss_cls: 0.0463, s1.acc: 96.4692, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0797, s2.loss_cls: 0.0241, s2.acc: 96.2839, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0380, loss: 0.7998 2022-09-16 08:20:46,338 - mmdet - INFO - Epoch [33][350/7330] lr: 1.000e-05, eta: 9:54:35, time: 1.237, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1336, s0.loss_cls: 0.1018, s0.acc: 96.1641, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1709, s1.loss_cls: 0.0464, s1.acc: 96.5066, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0816, s2.loss_cls: 0.0237, s2.acc: 96.3170, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0389, loss: 0.8147 2022-09-16 08:21:47,239 - mmdet - INFO - Epoch [33][400/7330] lr: 1.000e-05, eta: 9:53:33, time: 1.217, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1335, s0.loss_cls: 0.1009, s0.acc: 96.1316, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1685, s1.loss_cls: 0.0474, s1.acc: 96.4211, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0798, s2.loss_cls: 0.0248, s2.acc: 96.1965, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0379, loss: 0.8072 2022-09-16 08:22:47,994 - mmdet - INFO - Epoch [33][450/7330] lr: 1.000e-05, eta: 9:52:31, time: 1.216, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1296, s0.loss_cls: 0.0987, s0.acc: 96.3093, s0.loss_bbox: 0.0558, s0.loss_mask: 0.1651, s1.loss_cls: 0.0451, s1.acc: 96.5971, s1.loss_bbox: 0.0685, s1.loss_mask: 0.0789, s2.loss_cls: 0.0234, s2.acc: 96.4544, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0376, loss: 0.7843 2022-09-16 08:23:49,281 - mmdet - INFO - Epoch [33][500/7330] lr: 1.000e-05, eta: 9:51:29, time: 1.226, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1360, s0.loss_cls: 0.0982, s0.acc: 96.3044, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1632, s1.loss_cls: 0.0459, s1.acc: 96.5844, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0777, s2.loss_cls: 0.0237, s2.acc: 96.3875, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0372, loss: 0.7880 2022-09-16 08:24:50,594 - mmdet - INFO - Epoch [33][550/7330] lr: 1.000e-05, eta: 9:50:28, time: 1.226, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1351, s0.loss_cls: 0.0995, s0.acc: 96.2170, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1729, s1.loss_cls: 0.0452, s1.acc: 96.5472, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0824, s2.loss_cls: 0.0234, s2.acc: 96.3928, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0392, loss: 0.8153 2022-09-16 08:25:52,113 - mmdet - INFO - Epoch [33][600/7330] lr: 1.000e-05, eta: 9:49:26, time: 1.230, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1309, s0.loss_cls: 0.0963, s0.acc: 96.2944, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1672, s1.loss_cls: 0.0448, s1.acc: 96.6090, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0800, s2.loss_cls: 0.0236, s2.acc: 96.3832, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0381, loss: 0.7932 2022-09-16 08:26:53,101 - mmdet - INFO - Epoch [33][650/7330] lr: 1.000e-05, eta: 9:48:24, time: 1.219, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1345, s0.loss_cls: 0.0971, s0.acc: 96.3469, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1703, s1.loss_cls: 0.0442, s1.acc: 96.7357, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0819, s2.loss_cls: 0.0227, s2.acc: 96.5362, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0388, loss: 0.7996 2022-09-16 08:27:53,177 - mmdet - INFO - Epoch [33][700/7330] lr: 1.000e-05, eta: 9:47:22, time: 1.202, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1382, s0.loss_cls: 0.0986, s0.acc: 96.2563, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1692, s1.loss_cls: 0.0465, s1.acc: 96.5533, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0802, s2.loss_cls: 0.0237, s2.acc: 96.4250, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0383, loss: 0.8057 2022-09-16 08:28:54,604 - mmdet - INFO - Epoch [33][750/7330] lr: 1.000e-05, eta: 9:46:20, time: 1.228, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0182, loss_semantic_seg: 0.1413, s0.loss_cls: 0.0982, s0.acc: 96.2891, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1691, s1.loss_cls: 0.0459, s1.acc: 96.5223, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0809, s2.loss_cls: 0.0239, s2.acc: 96.3440, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0386, loss: 0.8066 2022-09-16 08:29:55,102 - mmdet - INFO - Epoch [33][800/7330] lr: 1.000e-05, eta: 9:45:18, time: 1.210, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0186, loss_semantic_seg: 0.1301, s0.loss_cls: 0.0984, s0.acc: 96.2563, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1685, s1.loss_cls: 0.0456, s1.acc: 96.5185, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0805, s2.loss_cls: 0.0237, s2.acc: 96.2410, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0385, loss: 0.7933 2022-09-16 08:30:56,335 - mmdet - INFO - Epoch [33][850/7330] lr: 1.000e-05, eta: 9:44:16, time: 1.225, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1042, s0.acc: 96.0146, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1774, s1.loss_cls: 0.0487, s1.acc: 96.2639, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0846, s2.loss_cls: 0.0253, s2.acc: 96.0791, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0403, loss: 0.8467 2022-09-16 08:31:57,064 - mmdet - INFO - Epoch [33][900/7330] lr: 1.000e-05, eta: 9:43:15, time: 1.215, data_time: 0.013, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1349, s0.loss_cls: 0.1055, s0.acc: 95.9631, s0.loss_bbox: 0.0647, s0.loss_mask: 0.1748, s1.loss_cls: 0.0496, s1.acc: 96.2143, s1.loss_bbox: 0.0779, s1.loss_mask: 0.0830, s2.loss_cls: 0.0259, s2.acc: 95.9850, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0391, loss: 0.8437 2022-09-16 08:32:58,058 - mmdet - INFO - Epoch [33][950/7330] lr: 1.000e-05, eta: 9:42:13, time: 1.217, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1330, s0.loss_cls: 0.0958, s0.acc: 96.4543, s0.loss_bbox: 0.0561, s0.loss_mask: 0.1650, s1.loss_cls: 0.0438, s1.acc: 96.6975, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0789, s2.loss_cls: 0.0230, s2.acc: 96.4440, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0375, loss: 0.7843 2022-09-16 08:34:00,192 - mmdet - INFO - Epoch [33][1000/7330] lr: 1.000e-05, eta: 9:41:11, time: 1.245, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1022, s0.acc: 96.1733, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1735, s1.loss_cls: 0.0479, s1.acc: 96.4412, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0824, s2.loss_cls: 0.0248, s2.acc: 96.2437, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0394, loss: 0.8292 2022-09-16 08:35:01,619 - mmdet - INFO - Epoch [33][1050/7330] lr: 1.000e-05, eta: 9:40:10, time: 1.229, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1334, s0.loss_cls: 0.1034, s0.acc: 96.0881, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1699, s1.loss_cls: 0.0487, s1.acc: 96.3452, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0809, s2.loss_cls: 0.0250, s2.acc: 96.1420, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0384, loss: 0.8184 2022-09-16 08:36:02,461 - mmdet - INFO - Epoch [33][1100/7330] lr: 1.000e-05, eta: 9:39:08, time: 1.217, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1405, s0.loss_cls: 0.1039, s0.acc: 96.1143, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1761, s1.loss_cls: 0.0479, s1.acc: 96.4396, s1.loss_bbox: 0.0746, s1.loss_mask: 0.0834, s2.loss_cls: 0.0252, s2.acc: 96.2681, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0395, loss: 0.8351 2022-09-16 08:37:03,924 - mmdet - INFO - Epoch [33][1150/7330] lr: 1.000e-05, eta: 9:38:06, time: 1.229, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1034, s0.acc: 96.0652, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1660, s1.loss_cls: 0.0476, s1.acc: 96.3889, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0792, s2.loss_cls: 0.0247, s2.acc: 96.2196, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0378, loss: 0.8086 2022-09-16 08:38:05,505 - mmdet - INFO - Epoch [33][1200/7330] lr: 1.000e-05, eta: 9:37:05, time: 1.232, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1355, s0.loss_cls: 0.1018, s0.acc: 96.0754, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1679, s1.loss_cls: 0.0463, s1.acc: 96.4161, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0803, s2.loss_cls: 0.0240, s2.acc: 96.2552, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0385, loss: 0.8120 2022-09-16 08:39:07,511 - mmdet - INFO - Epoch [33][1250/7330] lr: 1.000e-05, eta: 9:36:03, time: 1.240, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1322, s0.loss_cls: 0.1001, s0.acc: 96.1924, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1705, s1.loss_cls: 0.0464, s1.acc: 96.4731, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0808, s2.loss_cls: 0.0242, s2.acc: 96.2781, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0385, loss: 0.8054 2022-09-16 08:40:08,580 - mmdet - INFO - Epoch [33][1300/7330] lr: 1.000e-05, eta: 9:35:01, time: 1.222, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1349, s0.loss_cls: 0.0962, s0.acc: 96.3335, s0.loss_bbox: 0.0569, s0.loss_mask: 0.1700, s1.loss_cls: 0.0443, s1.acc: 96.6193, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0815, s2.loss_cls: 0.0231, s2.acc: 96.4255, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0388, loss: 0.7992 2022-09-16 08:41:09,669 - mmdet - INFO - Epoch [33][1350/7330] lr: 1.000e-05, eta: 9:34:00, time: 1.222, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1365, s0.loss_cls: 0.1050, s0.acc: 96.0371, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1728, s1.loss_cls: 0.0494, s1.acc: 96.3377, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0824, s2.loss_cls: 0.0256, s2.acc: 96.1250, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0392, loss: 0.8322 2022-09-16 08:42:10,871 - mmdet - INFO - Epoch [33][1400/7330] lr: 1.000e-05, eta: 9:32:58, time: 1.224, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1334, s0.loss_cls: 0.0969, s0.acc: 96.3059, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1665, s1.loss_cls: 0.0446, s1.acc: 96.6500, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0799, s2.loss_cls: 0.0233, s2.acc: 96.3802, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0380, loss: 0.7922 2022-09-16 08:43:11,811 - mmdet - INFO - Epoch [33][1450/7330] lr: 1.000e-05, eta: 9:31:56, time: 1.219, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1417, s0.loss_cls: 0.1001, s0.acc: 96.2190, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1708, s1.loss_cls: 0.0461, s1.acc: 96.5515, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0809, s2.loss_cls: 0.0237, s2.acc: 96.3505, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0387, loss: 0.8153 2022-09-16 08:44:13,218 - mmdet - INFO - Epoch [33][1500/7330] lr: 1.000e-05, eta: 9:30:54, time: 1.228, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1423, s0.loss_cls: 0.1008, s0.acc: 96.2063, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1692, s1.loss_cls: 0.0459, s1.acc: 96.5253, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0807, s2.loss_cls: 0.0238, s2.acc: 96.3337, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0387, loss: 0.8174 2022-09-16 08:45:14,370 - mmdet - INFO - Epoch [33][1550/7330] lr: 1.000e-05, eta: 9:29:53, time: 1.222, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0189, loss_semantic_seg: 0.1342, s0.loss_cls: 0.1002, s0.acc: 96.1985, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1680, s1.loss_cls: 0.0467, s1.acc: 96.5018, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0800, s2.loss_cls: 0.0239, s2.acc: 96.3536, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0381, loss: 0.7998 2022-09-16 08:46:15,633 - mmdet - INFO - Epoch [33][1600/7330] lr: 1.000e-05, eta: 9:28:51, time: 1.225, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0232, loss_semantic_seg: 0.1384, s0.loss_cls: 0.1074, s0.acc: 95.9751, s0.loss_bbox: 0.0621, s0.loss_mask: 0.1704, s1.loss_cls: 0.0508, s1.acc: 96.2071, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0815, s2.loss_cls: 0.0264, s2.acc: 96.0613, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0389, loss: 0.8408 2022-09-16 08:47:16,414 - mmdet - INFO - Epoch [33][1650/7330] lr: 1.000e-05, eta: 9:27:49, time: 1.216, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1338, s0.loss_cls: 0.0973, s0.acc: 96.2810, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1648, s1.loss_cls: 0.0446, s1.acc: 96.6530, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0790, s2.loss_cls: 0.0234, s2.acc: 96.4148, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0376, loss: 0.7897 2022-09-16 08:48:17,280 - mmdet - INFO - Epoch [33][1700/7330] lr: 1.000e-05, eta: 9:26:47, time: 1.217, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1376, s0.loss_cls: 0.0973, s0.acc: 96.3647, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1675, s1.loss_cls: 0.0450, s1.acc: 96.6748, s1.loss_bbox: 0.0680, s1.loss_mask: 0.0798, s2.loss_cls: 0.0234, s2.acc: 96.4655, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0379, loss: 0.7950 2022-09-16 08:49:18,085 - mmdet - INFO - Epoch [33][1750/7330] lr: 1.000e-05, eta: 9:25:45, time: 1.216, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1032, s0.acc: 96.1567, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1708, s1.loss_cls: 0.0477, s1.acc: 96.4692, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0818, s2.loss_cls: 0.0249, s2.acc: 96.2733, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0389, loss: 0.8227 2022-09-16 08:50:18,507 - mmdet - INFO - Epoch [33][1800/7330] lr: 1.000e-05, eta: 9:24:43, time: 1.208, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1371, s0.loss_cls: 0.1020, s0.acc: 96.1389, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1701, s1.loss_cls: 0.0476, s1.acc: 96.4072, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0812, s2.loss_cls: 0.0249, s2.acc: 96.1048, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0389, loss: 0.8185 2022-09-16 08:51:19,269 - mmdet - INFO - Epoch [33][1850/7330] lr: 1.000e-05, eta: 9:23:41, time: 1.215, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1335, s0.loss_cls: 0.0992, s0.acc: 96.2385, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1664, s1.loss_cls: 0.0454, s1.acc: 96.5450, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0797, s2.loss_cls: 0.0237, s2.acc: 96.3139, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0380, loss: 0.7983 2022-09-16 08:52:20,670 - mmdet - INFO - Epoch [33][1900/7330] lr: 1.000e-05, eta: 9:22:40, time: 1.228, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0184, loss_semantic_seg: 0.1337, s0.loss_cls: 0.0975, s0.acc: 96.3142, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1739, s1.loss_cls: 0.0452, s1.acc: 96.5928, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0835, s2.loss_cls: 0.0235, s2.acc: 96.3540, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0396, loss: 0.8086 2022-09-16 08:53:21,430 - mmdet - INFO - Epoch [33][1950/7330] lr: 1.000e-05, eta: 9:21:38, time: 1.215, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1394, s0.loss_cls: 0.0978, s0.acc: 96.1936, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1694, s1.loss_cls: 0.0454, s1.acc: 96.4490, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0808, s2.loss_cls: 0.0237, s2.acc: 96.2160, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0381, loss: 0.8116 2022-09-16 08:54:22,432 - mmdet - INFO - Epoch [33][2000/7330] lr: 1.000e-05, eta: 9:20:36, time: 1.220, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1330, s0.loss_cls: 0.1014, s0.acc: 96.1523, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1680, s1.loss_cls: 0.0473, s1.acc: 96.4446, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0801, s2.loss_cls: 0.0245, s2.acc: 96.2929, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0383, loss: 0.8068 2022-09-16 08:55:23,743 - mmdet - INFO - Epoch [33][2050/7330] lr: 1.000e-05, eta: 9:19:34, time: 1.226, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1361, s0.loss_cls: 0.0966, s0.acc: 96.3247, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1705, s1.loss_cls: 0.0454, s1.acc: 96.5272, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0810, s2.loss_cls: 0.0235, s2.acc: 96.2937, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0387, loss: 0.8030 2022-09-16 08:56:24,263 - mmdet - INFO - Epoch [33][2100/7330] lr: 1.000e-05, eta: 9:18:32, time: 1.210, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1338, s0.loss_cls: 0.1032, s0.acc: 96.1526, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1674, s1.loss_cls: 0.0481, s1.acc: 96.3545, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0797, s2.loss_cls: 0.0250, s2.acc: 96.0943, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0379, loss: 0.8075 2022-09-16 08:57:26,728 - mmdet - INFO - Epoch [33][2150/7330] lr: 1.000e-05, eta: 9:17:31, time: 1.250, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1390, s0.loss_cls: 0.1030, s0.acc: 96.0935, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1696, s1.loss_cls: 0.0474, s1.acc: 96.4316, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0806, s2.loss_cls: 0.0243, s2.acc: 96.2797, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0386, loss: 0.8180 2022-09-16 08:58:28,193 - mmdet - INFO - Epoch [33][2200/7330] lr: 1.000e-05, eta: 9:16:29, time: 1.229, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1398, s0.loss_cls: 0.1004, s0.acc: 96.2290, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1674, s1.loss_cls: 0.0464, s1.acc: 96.5484, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0794, s2.loss_cls: 0.0239, s2.acc: 96.4117, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0376, loss: 0.8044 2022-09-16 08:59:28,938 - mmdet - INFO - Epoch [33][2250/7330] lr: 1.000e-05, eta: 9:15:28, time: 1.215, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1277, s0.loss_cls: 0.0986, s0.acc: 96.2529, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1667, s1.loss_cls: 0.0456, s1.acc: 96.5389, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0798, s2.loss_cls: 0.0239, s2.acc: 96.3251, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0382, loss: 0.7963 2022-09-16 09:00:29,978 - mmdet - INFO - Epoch [33][2300/7330] lr: 1.000e-05, eta: 9:14:26, time: 1.221, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1333, s0.loss_cls: 0.0990, s0.acc: 96.2312, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1668, s1.loss_cls: 0.0462, s1.acc: 96.4760, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0796, s2.loss_cls: 0.0242, s2.acc: 96.2155, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0382, loss: 0.8008 2022-09-16 09:01:31,847 - mmdet - INFO - Epoch [33][2350/7330] lr: 1.000e-05, eta: 9:13:24, time: 1.237, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1365, s0.loss_cls: 0.1070, s0.acc: 95.9622, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1713, s1.loss_cls: 0.0487, s1.acc: 96.2871, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0806, s2.loss_cls: 0.0255, s2.acc: 96.0731, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0385, loss: 0.8260 2022-09-16 09:02:33,243 - mmdet - INFO - Epoch [33][2400/7330] lr: 1.000e-05, eta: 9:12:23, time: 1.228, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1320, s0.loss_cls: 0.0974, s0.acc: 96.3396, s0.loss_bbox: 0.0558, s0.loss_mask: 0.1675, s1.loss_cls: 0.0451, s1.acc: 96.6613, s1.loss_bbox: 0.0688, s1.loss_mask: 0.0799, s2.loss_cls: 0.0233, s2.acc: 96.4600, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0381, loss: 0.7893 2022-09-16 09:03:33,637 - mmdet - INFO - Epoch [33][2450/7330] lr: 1.000e-05, eta: 9:11:21, time: 1.208, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1312, s0.loss_cls: 0.0968, s0.acc: 96.3503, s0.loss_bbox: 0.0560, s0.loss_mask: 0.1652, s1.loss_cls: 0.0442, s1.acc: 96.6560, s1.loss_bbox: 0.0686, s1.loss_mask: 0.0790, s2.loss_cls: 0.0225, s2.acc: 96.5249, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0377, loss: 0.7857 2022-09-16 09:04:34,398 - mmdet - INFO - Epoch [33][2500/7330] lr: 1.000e-05, eta: 9:10:19, time: 1.215, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1306, s0.loss_cls: 0.0974, s0.acc: 96.3035, s0.loss_bbox: 0.0561, s0.loss_mask: 0.1647, s1.loss_cls: 0.0448, s1.acc: 96.6313, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0787, s2.loss_cls: 0.0237, s2.acc: 96.3616, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0375, loss: 0.7879 2022-09-16 09:05:36,309 - mmdet - INFO - Epoch [33][2550/7330] lr: 1.000e-05, eta: 9:09:17, time: 1.238, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1367, s0.loss_cls: 0.1026, s0.acc: 96.1375, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1703, s1.loss_cls: 0.0469, s1.acc: 96.4434, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0812, s2.loss_cls: 0.0244, s2.acc: 96.2816, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0390, loss: 0.8224 2022-09-16 09:06:36,762 - mmdet - INFO - Epoch [33][2600/7330] lr: 1.000e-05, eta: 9:08:15, time: 1.209, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1364, s0.loss_cls: 0.0969, s0.acc: 96.3486, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1656, s1.loss_cls: 0.0450, s1.acc: 96.5861, s1.loss_bbox: 0.0686, s1.loss_mask: 0.0792, s2.loss_cls: 0.0234, s2.acc: 96.3231, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0373, loss: 0.7874 2022-09-16 09:07:38,253 - mmdet - INFO - Epoch [33][2650/7330] lr: 1.000e-05, eta: 9:07:14, time: 1.229, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1361, s0.loss_cls: 0.1050, s0.acc: 95.9939, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1669, s1.loss_cls: 0.0487, s1.acc: 96.2622, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0798, s2.loss_cls: 0.0253, s2.acc: 96.1331, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0380, loss: 0.8191 2022-09-16 09:08:38,816 - mmdet - INFO - Epoch [33][2700/7330] lr: 1.000e-05, eta: 9:06:12, time: 1.213, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1299, s0.loss_cls: 0.1012, s0.acc: 96.1697, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1658, s1.loss_cls: 0.0476, s1.acc: 96.3934, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0792, s2.loss_cls: 0.0247, s2.acc: 96.2136, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0376, loss: 0.8036 2022-09-16 09:09:39,700 - mmdet - INFO - Epoch [33][2750/7330] lr: 1.000e-05, eta: 9:05:10, time: 1.218, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1318, s0.loss_cls: 0.1013, s0.acc: 96.1128, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1722, s1.loss_cls: 0.0468, s1.acc: 96.4009, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0826, s2.loss_cls: 0.0244, s2.acc: 96.2210, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0394, loss: 0.8149 2022-09-16 09:10:39,982 - mmdet - INFO - Epoch [33][2800/7330] lr: 1.000e-05, eta: 9:04:08, time: 1.205, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1332, s0.loss_cls: 0.0971, s0.acc: 96.3188, s0.loss_bbox: 0.0557, s0.loss_mask: 0.1658, s1.loss_cls: 0.0451, s1.acc: 96.5901, s1.loss_bbox: 0.0688, s1.loss_mask: 0.0795, s2.loss_cls: 0.0232, s2.acc: 96.4682, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0381, loss: 0.7890 2022-09-16 09:11:41,200 - mmdet - INFO - Epoch [33][2850/7330] lr: 1.000e-05, eta: 9:03:06, time: 1.225, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1338, s0.loss_cls: 0.0995, s0.acc: 96.2385, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1678, s1.loss_cls: 0.0459, s1.acc: 96.5595, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0803, s2.loss_cls: 0.0240, s2.acc: 96.3628, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0385, loss: 0.8013 2022-09-16 09:12:42,763 - mmdet - INFO - Epoch [33][2900/7330] lr: 1.000e-05, eta: 9:02:04, time: 1.231, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1282, s0.loss_cls: 0.1004, s0.acc: 96.1321, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1670, s1.loss_cls: 0.0469, s1.acc: 96.4001, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0796, s2.loss_cls: 0.0242, s2.acc: 96.2640, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0382, loss: 0.8004 2022-09-16 09:13:43,103 - mmdet - INFO - Epoch [33][2950/7330] lr: 1.000e-05, eta: 9:01:02, time: 1.207, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1302, s0.loss_cls: 0.1031, s0.acc: 96.0334, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1712, s1.loss_cls: 0.0472, s1.acc: 96.3583, s1.loss_bbox: 0.0735, s1.loss_mask: 0.0821, s2.loss_cls: 0.0242, s2.acc: 96.2576, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0392, loss: 0.8158 2022-09-16 09:14:44,449 - mmdet - INFO - Epoch [33][3000/7330] lr: 1.000e-05, eta: 9:00:01, time: 1.227, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1416, s0.loss_cls: 0.0993, s0.acc: 96.1570, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1700, s1.loss_cls: 0.0470, s1.acc: 96.3958, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0808, s2.loss_cls: 0.0241, s2.acc: 96.3186, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0386, loss: 0.8174 2022-09-16 09:15:46,902 - mmdet - INFO - Epoch [33][3050/7330] lr: 1.000e-05, eta: 8:59:00, time: 1.249, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1370, s0.loss_cls: 0.1009, s0.acc: 96.1516, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1711, s1.loss_cls: 0.0463, s1.acc: 96.4803, s1.loss_bbox: 0.0735, s1.loss_mask: 0.0816, s2.loss_cls: 0.0239, s2.acc: 96.3074, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0388, loss: 0.8203 2022-09-16 09:16:47,035 - mmdet - INFO - Epoch [33][3100/7330] lr: 1.000e-05, eta: 8:57:57, time: 1.203, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0996, s0.acc: 96.2004, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1655, s1.loss_cls: 0.0469, s1.acc: 96.4884, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0789, s2.loss_cls: 0.0243, s2.acc: 96.2766, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0375, loss: 0.8020 2022-09-16 09:17:48,056 - mmdet - INFO - Epoch [33][3150/7330] lr: 1.000e-05, eta: 8:56:56, time: 1.220, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1330, s0.loss_cls: 0.0988, s0.acc: 96.2217, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1706, s1.loss_cls: 0.0454, s1.acc: 96.5473, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0820, s2.loss_cls: 0.0234, s2.acc: 96.3893, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0391, loss: 0.8072 2022-09-16 09:18:49,775 - mmdet - INFO - Epoch [33][3200/7330] lr: 1.000e-05, eta: 8:55:54, time: 1.231, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1285, s0.loss_cls: 0.1029, s0.acc: 96.0925, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1676, s1.loss_cls: 0.0479, s1.acc: 96.3411, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0805, s2.loss_cls: 0.0251, s2.acc: 96.0750, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0384, loss: 0.8108 2022-09-16 09:19:50,520 - mmdet - INFO - Epoch [33][3250/7330] lr: 1.000e-05, eta: 8:54:52, time: 1.217, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1311, s0.loss_cls: 0.0978, s0.acc: 96.3140, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1715, s1.loss_cls: 0.0458, s1.acc: 96.5323, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0819, s2.loss_cls: 0.0239, s2.acc: 96.3140, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0392, loss: 0.7996 2022-09-16 09:20:51,529 - mmdet - INFO - Epoch [33][3300/7330] lr: 1.000e-05, eta: 8:53:51, time: 1.221, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1343, s0.loss_cls: 0.0986, s0.acc: 96.2151, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1699, s1.loss_cls: 0.0454, s1.acc: 96.4848, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0805, s2.loss_cls: 0.0236, s2.acc: 96.2974, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0382, loss: 0.8079 2022-09-16 09:21:52,444 - mmdet - INFO - Epoch [33][3350/7330] lr: 1.000e-05, eta: 8:52:49, time: 1.218, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1282, s0.loss_cls: 0.0993, s0.acc: 96.2458, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1669, s1.loss_cls: 0.0453, s1.acc: 96.6102, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0793, s2.loss_cls: 0.0237, s2.acc: 96.4164, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0380, loss: 0.7957 2022-09-16 09:22:53,713 - mmdet - INFO - Epoch [33][3400/7330] lr: 1.000e-05, eta: 8:51:47, time: 1.225, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0187, loss_semantic_seg: 0.1280, s0.loss_cls: 0.1000, s0.acc: 96.2402, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1684, s1.loss_cls: 0.0455, s1.acc: 96.5938, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0802, s2.loss_cls: 0.0235, s2.acc: 96.4132, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0382, loss: 0.7984 2022-09-16 09:23:55,210 - mmdet - INFO - Epoch [33][3450/7330] lr: 1.000e-05, eta: 8:50:45, time: 1.230, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1354, s0.loss_cls: 0.0975, s0.acc: 96.3252, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1674, s1.loss_cls: 0.0454, s1.acc: 96.5988, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0795, s2.loss_cls: 0.0239, s2.acc: 96.3584, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0376, loss: 0.7970 2022-09-16 09:24:56,181 - mmdet - INFO - Epoch [33][3500/7330] lr: 1.000e-05, eta: 8:49:44, time: 1.220, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1314, s0.loss_cls: 0.0961, s0.acc: 96.3140, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1667, s1.loss_cls: 0.0441, s1.acc: 96.6363, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0796, s2.loss_cls: 0.0231, s2.acc: 96.4465, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0381, loss: 0.7862 2022-09-16 09:25:57,409 - mmdet - INFO - Epoch [33][3550/7330] lr: 1.000e-05, eta: 8:48:42, time: 1.225, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1362, s0.loss_cls: 0.0989, s0.acc: 96.2688, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1697, s1.loss_cls: 0.0457, s1.acc: 96.5235, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0807, s2.loss_cls: 0.0238, s2.acc: 96.3008, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0383, loss: 0.8045 2022-09-16 09:26:58,805 - mmdet - INFO - Epoch [33][3600/7330] lr: 1.000e-05, eta: 8:47:40, time: 1.227, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1317, s0.loss_cls: 0.1086, s0.acc: 95.8848, s0.loss_bbox: 0.0634, s0.loss_mask: 0.1744, s1.loss_cls: 0.0500, s1.acc: 96.2277, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0824, s2.loss_cls: 0.0254, s2.acc: 96.1373, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0392, loss: 0.8361 2022-09-16 09:28:00,079 - mmdet - INFO - Epoch [33][3650/7330] lr: 1.000e-05, eta: 8:46:39, time: 1.226, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0188, loss_semantic_seg: 0.1326, s0.loss_cls: 0.0957, s0.acc: 96.4089, s0.loss_bbox: 0.0541, s0.loss_mask: 0.1628, s1.loss_cls: 0.0442, s1.acc: 96.7110, s1.loss_bbox: 0.0678, s1.loss_mask: 0.0780, s2.loss_cls: 0.0230, s2.acc: 96.5266, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0373, loss: 0.7740 2022-09-16 09:29:01,426 - mmdet - INFO - Epoch [33][3700/7330] lr: 1.000e-05, eta: 8:45:37, time: 1.227, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1265, s0.loss_cls: 0.0944, s0.acc: 96.3354, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1630, s1.loss_cls: 0.0435, s1.acc: 96.6504, s1.loss_bbox: 0.0684, s1.loss_mask: 0.0779, s2.loss_cls: 0.0226, s2.acc: 96.4694, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0371, loss: 0.7701 2022-09-16 09:30:02,456 - mmdet - INFO - Epoch [33][3750/7330] lr: 1.000e-05, eta: 8:44:35, time: 1.220, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1378, s0.loss_cls: 0.1048, s0.acc: 96.0420, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1749, s1.loss_cls: 0.0493, s1.acc: 96.2867, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0834, s2.loss_cls: 0.0255, s2.acc: 96.0708, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0398, loss: 0.8426 2022-09-16 09:31:03,943 - mmdet - INFO - Epoch [33][3800/7330] lr: 1.000e-05, eta: 8:43:34, time: 1.230, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1311, s0.loss_cls: 0.0986, s0.acc: 96.2515, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1658, s1.loss_cls: 0.0459, s1.acc: 96.5240, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0788, s2.loss_cls: 0.0240, s2.acc: 96.3421, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0377, loss: 0.7914 2022-09-16 09:32:04,556 - mmdet - INFO - Epoch [33][3850/7330] lr: 1.000e-05, eta: 8:42:32, time: 1.212, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1382, s0.loss_cls: 0.1026, s0.acc: 96.1582, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1701, s1.loss_cls: 0.0477, s1.acc: 96.4752, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0813, s2.loss_cls: 0.0248, s2.acc: 96.2603, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0387, loss: 0.8242 2022-09-16 09:33:05,056 - mmdet - INFO - Epoch [33][3900/7330] lr: 1.000e-05, eta: 8:41:30, time: 1.210, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0982, s0.acc: 96.2910, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1675, s1.loss_cls: 0.0448, s1.acc: 96.6138, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0806, s2.loss_cls: 0.0237, s2.acc: 96.3533, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0386, loss: 0.8019 2022-09-16 09:34:05,721 - mmdet - INFO - Epoch [33][3950/7330] lr: 1.000e-05, eta: 8:40:28, time: 1.213, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1270, s0.loss_cls: 0.1020, s0.acc: 96.1497, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1695, s1.loss_cls: 0.0474, s1.acc: 96.4259, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0803, s2.loss_cls: 0.0246, s2.acc: 96.2491, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0383, loss: 0.8058 2022-09-16 09:35:06,839 - mmdet - INFO - Epoch [33][4000/7330] lr: 1.000e-05, eta: 8:39:26, time: 1.222, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1305, s0.loss_cls: 0.1018, s0.acc: 96.0989, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1700, s1.loss_cls: 0.0483, s1.acc: 96.2800, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0807, s2.loss_cls: 0.0248, s2.acc: 96.0654, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0385, loss: 0.8066 2022-09-16 09:36:08,568 - mmdet - INFO - Epoch [33][4050/7330] lr: 1.000e-05, eta: 8:38:25, time: 1.236, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1394, s0.loss_cls: 0.1027, s0.acc: 96.0410, s0.loss_bbox: 0.0611, s0.loss_mask: 0.1706, s1.loss_cls: 0.0475, s1.acc: 96.2974, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0818, s2.loss_cls: 0.0245, s2.acc: 96.1716, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0388, loss: 0.8283 2022-09-16 09:37:09,088 - mmdet - INFO - Epoch [33][4100/7330] lr: 1.000e-05, eta: 8:37:23, time: 1.210, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1318, s0.loss_cls: 0.0988, s0.acc: 96.2520, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1670, s1.loss_cls: 0.0458, s1.acc: 96.5434, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0802, s2.loss_cls: 0.0238, s2.acc: 96.2564, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0381, loss: 0.8025 2022-09-16 09:38:10,010 - mmdet - INFO - Epoch [33][4150/7330] lr: 1.000e-05, eta: 8:36:21, time: 1.218, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1262, s0.loss_cls: 0.0982, s0.acc: 96.2441, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1696, s1.loss_cls: 0.0446, s1.acc: 96.5722, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0814, s2.loss_cls: 0.0231, s2.acc: 96.3747, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0388, loss: 0.8017 2022-09-16 09:39:11,284 - mmdet - INFO - Epoch [33][4200/7330] lr: 1.000e-05, eta: 8:35:19, time: 1.226, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1371, s0.loss_cls: 0.0966, s0.acc: 96.3086, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1703, s1.loss_cls: 0.0449, s1.acc: 96.5512, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0813, s2.loss_cls: 0.0233, s2.acc: 96.4037, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0390, loss: 0.8041 2022-09-16 09:40:12,978 - mmdet - INFO - Epoch [33][4250/7330] lr: 1.000e-05, eta: 8:34:18, time: 1.234, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1371, s0.loss_cls: 0.0984, s0.acc: 96.2607, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1732, s1.loss_cls: 0.0450, s1.acc: 96.5851, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0832, s2.loss_cls: 0.0236, s2.acc: 96.3416, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0393, loss: 0.8127 2022-09-16 09:41:14,615 - mmdet - INFO - Epoch [33][4300/7330] lr: 1.000e-05, eta: 8:33:16, time: 1.233, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1389, s0.loss_cls: 0.1016, s0.acc: 96.1477, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1687, s1.loss_cls: 0.0466, s1.acc: 96.4423, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0807, s2.loss_cls: 0.0244, s2.acc: 96.2191, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0386, loss: 0.8133 2022-09-16 09:42:16,890 - mmdet - INFO - Epoch [33][4350/7330] lr: 1.000e-05, eta: 8:32:15, time: 1.245, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0230, loss_semantic_seg: 0.1321, s0.loss_cls: 0.1086, s0.acc: 95.8164, s0.loss_bbox: 0.0639, s0.loss_mask: 0.1703, s1.loss_cls: 0.0503, s1.acc: 96.0872, s1.loss_bbox: 0.0763, s1.loss_mask: 0.0810, s2.loss_cls: 0.0265, s2.acc: 95.8095, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0389, loss: 0.8378 2022-09-16 09:43:17,441 - mmdet - INFO - Epoch [33][4400/7330] lr: 1.000e-05, eta: 8:31:13, time: 1.211, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1356, s0.loss_cls: 0.1019, s0.acc: 96.0393, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1730, s1.loss_cls: 0.0465, s1.acc: 96.3853, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0825, s2.loss_cls: 0.0244, s2.acc: 96.1954, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0391, loss: 0.8260 2022-09-16 09:44:19,880 - mmdet - INFO - Epoch [33][4450/7330] lr: 1.000e-05, eta: 8:30:12, time: 1.249, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1362, s0.loss_cls: 0.1059, s0.acc: 96.0105, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1756, s1.loss_cls: 0.0493, s1.acc: 96.2955, s1.loss_bbox: 0.0765, s1.loss_mask: 0.0833, s2.loss_cls: 0.0254, s2.acc: 96.1173, s2.loss_bbox: 0.0529, s2.loss_mask: 0.0397, loss: 0.8435 2022-09-16 09:45:21,595 - mmdet - INFO - Epoch [33][4500/7330] lr: 1.000e-05, eta: 8:29:10, time: 1.234, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1340, s0.loss_cls: 0.0950, s0.acc: 96.4097, s0.loss_bbox: 0.0554, s0.loss_mask: 0.1658, s1.loss_cls: 0.0440, s1.acc: 96.6628, s1.loss_bbox: 0.0688, s1.loss_mask: 0.0793, s2.loss_cls: 0.0230, s2.acc: 96.4096, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0378, loss: 0.7822 2022-09-16 09:46:24,001 - mmdet - INFO - Epoch [33][4550/7330] lr: 1.000e-05, eta: 8:28:09, time: 1.248, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1299, s0.loss_cls: 0.1033, s0.acc: 96.0642, s0.loss_bbox: 0.0612, s0.loss_mask: 0.1700, s1.loss_cls: 0.0474, s1.acc: 96.4408, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0812, s2.loss_cls: 0.0250, s2.acc: 96.1178, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0384, loss: 0.8204 2022-09-16 09:47:25,272 - mmdet - INFO - Epoch [33][4600/7330] lr: 1.000e-05, eta: 8:27:08, time: 1.226, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1355, s0.loss_cls: 0.1064, s0.acc: 96.0149, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1641, s1.loss_cls: 0.0494, s1.acc: 96.2632, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0780, s2.loss_cls: 0.0257, s2.acc: 95.9897, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0371, loss: 0.8146 2022-09-16 09:48:25,644 - mmdet - INFO - Epoch [33][4650/7330] lr: 1.000e-05, eta: 8:26:06, time: 1.207, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1396, s0.loss_cls: 0.0966, s0.acc: 96.2727, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1683, s1.loss_cls: 0.0442, s1.acc: 96.6419, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0801, s2.loss_cls: 0.0229, s2.acc: 96.4852, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0383, loss: 0.8015 2022-09-16 09:49:26,659 - mmdet - INFO - Epoch [33][4700/7330] lr: 1.000e-05, eta: 8:25:04, time: 1.220, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0185, loss_semantic_seg: 0.1363, s0.loss_cls: 0.0960, s0.acc: 96.3171, s0.loss_bbox: 0.0560, s0.loss_mask: 0.1682, s1.loss_cls: 0.0445, s1.acc: 96.5998, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0800, s2.loss_cls: 0.0228, s2.acc: 96.4839, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0383, loss: 0.7911 2022-09-16 09:50:28,511 - mmdet - INFO - Epoch [33][4750/7330] lr: 1.000e-05, eta: 8:24:02, time: 1.237, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1322, s0.loss_cls: 0.1005, s0.acc: 96.1230, s0.loss_bbox: 0.0611, s0.loss_mask: 0.1741, s1.loss_cls: 0.0464, s1.acc: 96.4524, s1.loss_bbox: 0.0758, s1.loss_mask: 0.0836, s2.loss_cls: 0.0246, s2.acc: 96.1164, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0395, loss: 0.8247 2022-09-16 09:51:29,019 - mmdet - INFO - Epoch [33][4800/7330] lr: 1.000e-05, eta: 8:23:01, time: 1.210, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1386, s0.loss_cls: 0.1016, s0.acc: 96.1348, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1705, s1.loss_cls: 0.0468, s1.acc: 96.4696, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0810, s2.loss_cls: 0.0246, s2.acc: 96.2481, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0387, loss: 0.8202 2022-09-16 09:52:29,569 - mmdet - INFO - Epoch [33][4850/7330] lr: 1.000e-05, eta: 8:21:59, time: 1.211, data_time: 0.015, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1373, s0.loss_cls: 0.1019, s0.acc: 96.1169, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1718, s1.loss_cls: 0.0466, s1.acc: 96.5133, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0823, s2.loss_cls: 0.0240, s2.acc: 96.3463, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0392, loss: 0.8223 2022-09-16 09:53:30,323 - mmdet - INFO - Epoch [33][4900/7330] lr: 1.000e-05, eta: 8:20:57, time: 1.215, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1325, s0.loss_cls: 0.0980, s0.acc: 96.2554, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1648, s1.loss_cls: 0.0457, s1.acc: 96.5087, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0790, s2.loss_cls: 0.0239, s2.acc: 96.2161, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0375, loss: 0.7959 2022-09-16 09:54:30,512 - mmdet - INFO - Epoch [33][4950/7330] lr: 1.000e-05, eta: 8:19:55, time: 1.204, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1408, s0.loss_cls: 0.0986, s0.acc: 96.2380, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1659, s1.loss_cls: 0.0459, s1.acc: 96.5540, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0803, s2.loss_cls: 0.0233, s2.acc: 96.3478, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0380, loss: 0.8061 2022-09-16 09:55:32,411 - mmdet - INFO - Epoch [33][5000/7330] lr: 1.000e-05, eta: 8:18:53, time: 1.238, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1335, s0.loss_cls: 0.1020, s0.acc: 96.1343, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1670, s1.loss_cls: 0.0464, s1.acc: 96.4908, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0806, s2.loss_cls: 0.0239, s2.acc: 96.3313, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0385, loss: 0.8083 2022-09-16 09:56:33,684 - mmdet - INFO - Epoch [33][5050/7330] lr: 1.000e-05, eta: 8:17:52, time: 1.225, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1311, s0.loss_cls: 0.1057, s0.acc: 95.9917, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1752, s1.loss_cls: 0.0488, s1.acc: 96.2466, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0831, s2.loss_cls: 0.0251, s2.acc: 96.0685, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0393, loss: 0.8351 2022-09-16 09:57:34,967 - mmdet - INFO - Epoch [33][5100/7330] lr: 1.000e-05, eta: 8:16:50, time: 1.225, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1429, s0.loss_cls: 0.1046, s0.acc: 96.0134, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1714, s1.loss_cls: 0.0485, s1.acc: 96.2537, s1.loss_bbox: 0.0764, s1.loss_mask: 0.0822, s2.loss_cls: 0.0253, s2.acc: 96.0332, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0390, loss: 0.8383 2022-09-16 09:58:36,129 - mmdet - INFO - Epoch [33][5150/7330] lr: 1.000e-05, eta: 8:15:48, time: 1.224, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0110, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1365, s0.loss_cls: 0.0973, s0.acc: 96.3340, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1662, s1.loss_cls: 0.0451, s1.acc: 96.6384, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0797, s2.loss_cls: 0.0236, s2.acc: 96.4368, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0379, loss: 0.7926 2022-09-16 09:59:37,141 - mmdet - INFO - Epoch [33][5200/7330] lr: 1.000e-05, eta: 8:14:47, time: 1.220, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1365, s0.loss_cls: 0.1043, s0.acc: 96.0654, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1685, s1.loss_cls: 0.0478, s1.acc: 96.3742, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0804, s2.loss_cls: 0.0250, s2.acc: 96.1407, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0383, loss: 0.8191 2022-09-16 10:00:37,326 - mmdet - INFO - Epoch [33][5250/7330] lr: 1.000e-05, eta: 8:13:45, time: 1.204, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1402, s0.loss_cls: 0.0984, s0.acc: 96.2754, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1673, s1.loss_cls: 0.0461, s1.acc: 96.5062, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0798, s2.loss_cls: 0.0240, s2.acc: 96.2948, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0380, loss: 0.8071 2022-09-16 10:01:39,498 - mmdet - INFO - Epoch [33][5300/7330] lr: 1.000e-05, eta: 8:12:43, time: 1.243, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1352, s0.loss_cls: 0.1041, s0.acc: 96.0542, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1651, s1.loss_cls: 0.0486, s1.acc: 96.3271, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0788, s2.loss_cls: 0.0250, s2.acc: 96.1366, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0376, loss: 0.8079 2022-09-16 10:02:40,644 - mmdet - INFO - Epoch [33][5350/7330] lr: 1.000e-05, eta: 8:11:42, time: 1.223, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1385, s0.loss_cls: 0.1005, s0.acc: 96.1416, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1673, s1.loss_cls: 0.0457, s1.acc: 96.5194, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0797, s2.loss_cls: 0.0238, s2.acc: 96.3127, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0382, loss: 0.8119 2022-09-16 10:03:41,778 - mmdet - INFO - Epoch [33][5400/7330] lr: 1.000e-05, eta: 8:10:40, time: 1.223, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0189, loss_semantic_seg: 0.1322, s0.loss_cls: 0.0908, s0.acc: 96.5803, s0.loss_bbox: 0.0525, s0.loss_mask: 0.1626, s1.loss_cls: 0.0418, s1.acc: 96.8615, s1.loss_bbox: 0.0668, s1.loss_mask: 0.0785, s2.loss_cls: 0.0222, s2.acc: 96.5806, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0374, loss: 0.7625 2022-09-16 10:04:42,224 - mmdet - INFO - Epoch [33][5450/7330] lr: 1.000e-05, eta: 8:09:38, time: 1.209, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1382, s0.loss_cls: 0.1036, s0.acc: 96.1501, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1701, s1.loss_cls: 0.0478, s1.acc: 96.4448, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0810, s2.loss_cls: 0.0246, s2.acc: 96.3028, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0387, loss: 0.8233 2022-09-16 10:05:44,063 - mmdet - INFO - Epoch [33][5500/7330] lr: 1.000e-05, eta: 8:08:36, time: 1.236, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1340, s0.loss_cls: 0.0978, s0.acc: 96.2576, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1688, s1.loss_cls: 0.0453, s1.acc: 96.5256, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0804, s2.loss_cls: 0.0235, s2.acc: 96.3584, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0385, loss: 0.8002 2022-09-16 10:06:45,478 - mmdet - INFO - Epoch [33][5550/7330] lr: 1.000e-05, eta: 8:07:35, time: 1.229, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1030, s0.acc: 96.0713, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1683, s1.loss_cls: 0.0471, s1.acc: 96.3623, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0800, s2.loss_cls: 0.0246, s2.acc: 96.2232, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0380, loss: 0.8174 2022-09-16 10:07:46,200 - mmdet - INFO - Epoch [33][5600/7330] lr: 1.000e-05, eta: 8:06:33, time: 1.214, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0187, loss_semantic_seg: 0.1340, s0.loss_cls: 0.0934, s0.acc: 96.3977, s0.loss_bbox: 0.0532, s0.loss_mask: 0.1674, s1.loss_cls: 0.0432, s1.acc: 96.7066, s1.loss_bbox: 0.0664, s1.loss_mask: 0.0802, s2.loss_cls: 0.0225, s2.acc: 96.5115, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0385, loss: 0.7779 2022-09-16 10:08:47,280 - mmdet - INFO - Epoch [33][5650/7330] lr: 1.000e-05, eta: 8:05:31, time: 1.222, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1263, s0.loss_cls: 0.0997, s0.acc: 96.2012, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1699, s1.loss_cls: 0.0457, s1.acc: 96.5344, s1.loss_bbox: 0.0735, s1.loss_mask: 0.0817, s2.loss_cls: 0.0238, s2.acc: 96.3167, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0389, loss: 0.8052 2022-09-16 10:09:48,072 - mmdet - INFO - Epoch [33][5700/7330] lr: 1.000e-05, eta: 8:04:30, time: 1.216, data_time: 0.033, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1349, s0.loss_cls: 0.1010, s0.acc: 96.1270, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1697, s1.loss_cls: 0.0465, s1.acc: 96.4261, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0809, s2.loss_cls: 0.0243, s2.acc: 96.2210, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0387, loss: 0.8102 2022-09-16 10:10:48,675 - mmdet - INFO - Epoch [33][5750/7330] lr: 1.000e-05, eta: 8:03:28, time: 1.212, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0178, loss_semantic_seg: 0.1344, s0.loss_cls: 0.0919, s0.acc: 96.5063, s0.loss_bbox: 0.0545, s0.loss_mask: 0.1644, s1.loss_cls: 0.0423, s1.acc: 96.8322, s1.loss_bbox: 0.0674, s1.loss_mask: 0.0787, s2.loss_cls: 0.0224, s2.acc: 96.6097, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0378, loss: 0.7719 2022-09-16 10:11:49,684 - mmdet - INFO - Epoch [33][5800/7330] lr: 1.000e-05, eta: 8:02:26, time: 1.220, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1390, s0.loss_cls: 0.0997, s0.acc: 96.2273, s0.loss_bbox: 0.0551, s0.loss_mask: 0.1668, s1.loss_cls: 0.0458, s1.acc: 96.5613, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0796, s2.loss_cls: 0.0237, s2.acc: 96.3424, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0381, loss: 0.7986 2022-09-16 10:12:52,203 - mmdet - INFO - Epoch [33][5850/7330] lr: 1.000e-05, eta: 8:01:25, time: 1.249, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1316, s0.loss_cls: 0.1002, s0.acc: 96.1335, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1699, s1.loss_cls: 0.0464, s1.acc: 96.4660, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0819, s2.loss_cls: 0.0244, s2.acc: 96.2282, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0391, loss: 0.8087 2022-09-16 10:13:52,298 - mmdet - INFO - Epoch [33][5900/7330] lr: 1.000e-05, eta: 8:00:23, time: 1.203, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0186, loss_semantic_seg: 0.1320, s0.loss_cls: 0.0975, s0.acc: 96.2629, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1660, s1.loss_cls: 0.0445, s1.acc: 96.6044, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0795, s2.loss_cls: 0.0230, s2.acc: 96.4723, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0380, loss: 0.7889 2022-09-16 10:14:53,642 - mmdet - INFO - Epoch [33][5950/7330] lr: 1.000e-05, eta: 7:59:21, time: 1.227, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0189, loss_semantic_seg: 0.1360, s0.loss_cls: 0.0988, s0.acc: 96.2483, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1709, s1.loss_cls: 0.0453, s1.acc: 96.5777, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0811, s2.loss_cls: 0.0233, s2.acc: 96.4473, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0388, loss: 0.8065 2022-09-16 10:15:54,978 - mmdet - INFO - Epoch [33][6000/7330] lr: 1.000e-05, eta: 7:58:19, time: 1.227, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1374, s0.loss_cls: 0.0957, s0.acc: 96.3345, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1659, s1.loss_cls: 0.0449, s1.acc: 96.5539, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0794, s2.loss_cls: 0.0234, s2.acc: 96.3389, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0381, loss: 0.7976 2022-09-16 10:16:55,534 - mmdet - INFO - Epoch [33][6050/7330] lr: 1.000e-05, eta: 7:57:18, time: 1.211, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1389, s0.loss_cls: 0.1029, s0.acc: 96.1641, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1684, s1.loss_cls: 0.0479, s1.acc: 96.4885, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0799, s2.loss_cls: 0.0247, s2.acc: 96.2985, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0381, loss: 0.8131 2022-09-16 10:17:56,220 - mmdet - INFO - Epoch [33][6100/7330] lr: 1.000e-05, eta: 7:56:16, time: 1.214, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1362, s0.loss_cls: 0.1041, s0.acc: 96.0898, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1737, s1.loss_cls: 0.0481, s1.acc: 96.4194, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0828, s2.loss_cls: 0.0257, s2.acc: 96.1064, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0389, loss: 0.8314 2022-09-16 10:18:56,148 - mmdet - INFO - Epoch [33][6150/7330] lr: 1.000e-05, eta: 7:55:14, time: 1.199, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1306, s0.loss_cls: 0.0946, s0.acc: 96.4949, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1660, s1.loss_cls: 0.0430, s1.acc: 96.8057, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0791, s2.loss_cls: 0.0228, s2.acc: 96.5183, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0376, loss: 0.7840 2022-09-16 10:19:56,919 - mmdet - INFO - Epoch [33][6200/7330] lr: 1.000e-05, eta: 7:54:12, time: 1.215, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1378, s0.loss_cls: 0.0938, s0.acc: 96.4609, s0.loss_bbox: 0.0546, s0.loss_mask: 0.1675, s1.loss_cls: 0.0429, s1.acc: 96.7802, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0801, s2.loss_cls: 0.0225, s2.acc: 96.5596, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0385, loss: 0.7860 2022-09-16 10:20:58,068 - mmdet - INFO - Epoch [33][6250/7330] lr: 1.000e-05, eta: 7:53:10, time: 1.223, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1384, s0.loss_cls: 0.0971, s0.acc: 96.2991, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1663, s1.loss_cls: 0.0451, s1.acc: 96.5558, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0794, s2.loss_cls: 0.0234, s2.acc: 96.4263, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0378, loss: 0.7991 2022-09-16 10:21:58,018 - mmdet - INFO - Epoch [33][6300/7330] lr: 1.000e-05, eta: 7:52:08, time: 1.199, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1376, s0.loss_cls: 0.0994, s0.acc: 96.2273, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1686, s1.loss_cls: 0.0446, s1.acc: 96.6346, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0808, s2.loss_cls: 0.0233, s2.acc: 96.3906, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0385, loss: 0.8084 2022-09-16 10:22:58,587 - mmdet - INFO - Epoch [33][6350/7330] lr: 1.000e-05, eta: 7:51:06, time: 1.211, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1293, s0.loss_cls: 0.0958, s0.acc: 96.3608, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1641, s1.loss_cls: 0.0443, s1.acc: 96.6199, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0785, s2.loss_cls: 0.0232, s2.acc: 96.4567, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0376, loss: 0.7782 2022-09-16 10:23:59,747 - mmdet - INFO - Epoch [33][6400/7330] lr: 1.000e-05, eta: 7:50:05, time: 1.223, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1287, s0.loss_cls: 0.0995, s0.acc: 96.2112, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1646, s1.loss_cls: 0.0445, s1.acc: 96.6372, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0789, s2.loss_cls: 0.0233, s2.acc: 96.4219, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0376, loss: 0.7890 2022-09-16 10:25:01,096 - mmdet - INFO - Epoch [33][6450/7330] lr: 1.000e-05, eta: 7:49:03, time: 1.227, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1372, s0.loss_cls: 0.0976, s0.acc: 96.3083, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1639, s1.loss_cls: 0.0452, s1.acc: 96.6255, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0789, s2.loss_cls: 0.0236, s2.acc: 96.4117, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0377, loss: 0.7944 2022-09-16 10:26:01,898 - mmdet - INFO - Epoch [33][6500/7330] lr: 1.000e-05, eta: 7:48:01, time: 1.216, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1294, s0.loss_cls: 0.1010, s0.acc: 96.1499, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1730, s1.loss_cls: 0.0470, s1.acc: 96.3848, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0825, s2.loss_cls: 0.0240, s2.acc: 96.1657, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0389, loss: 0.8143 2022-09-16 10:27:02,983 - mmdet - INFO - Epoch [33][6550/7330] lr: 1.000e-05, eta: 7:46:59, time: 1.222, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1310, s0.loss_cls: 0.0996, s0.acc: 96.3171, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1645, s1.loss_cls: 0.0464, s1.acc: 96.6061, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0784, s2.loss_cls: 0.0241, s2.acc: 96.3505, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0374, loss: 0.7948 2022-09-16 10:28:03,908 - mmdet - INFO - Epoch [33][6600/7330] lr: 1.000e-05, eta: 7:45:58, time: 1.218, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1341, s0.loss_cls: 0.0987, s0.acc: 96.2422, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1698, s1.loss_cls: 0.0457, s1.acc: 96.5286, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0812, s2.loss_cls: 0.0240, s2.acc: 96.3217, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0387, loss: 0.8034 2022-09-16 10:29:04,526 - mmdet - INFO - Epoch [33][6650/7330] lr: 1.000e-05, eta: 7:44:56, time: 1.213, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1065, s0.acc: 95.9546, s0.loss_bbox: 0.0630, s0.loss_mask: 0.1706, s1.loss_cls: 0.0500, s1.acc: 96.2184, s1.loss_bbox: 0.0757, s1.loss_mask: 0.0809, s2.loss_cls: 0.0259, s2.acc: 95.9863, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0384, loss: 0.8379 2022-09-16 10:30:05,844 - mmdet - INFO - Epoch [33][6700/7330] lr: 1.000e-05, eta: 7:43:54, time: 1.226, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1014, s0.acc: 96.0889, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1675, s1.loss_cls: 0.0476, s1.acc: 96.2863, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0798, s2.loss_cls: 0.0247, s2.acc: 96.0906, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0377, loss: 0.8126 2022-09-16 10:31:07,158 - mmdet - INFO - Epoch [33][6750/7330] lr: 1.000e-05, eta: 7:42:53, time: 1.226, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1338, s0.loss_cls: 0.0992, s0.acc: 96.2827, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1737, s1.loss_cls: 0.0450, s1.acc: 96.5975, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0823, s2.loss_cls: 0.0232, s2.acc: 96.4619, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0393, loss: 0.8135 2022-09-16 10:32:09,068 - mmdet - INFO - Epoch [33][6800/7330] lr: 1.000e-05, eta: 7:41:51, time: 1.238, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1293, s0.loss_cls: 0.0952, s0.acc: 96.3582, s0.loss_bbox: 0.0543, s0.loss_mask: 0.1648, s1.loss_cls: 0.0440, s1.acc: 96.6725, s1.loss_bbox: 0.0681, s1.loss_mask: 0.0784, s2.loss_cls: 0.0226, s2.acc: 96.5471, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0375, loss: 0.7764 2022-09-16 10:33:11,401 - mmdet - INFO - Epoch [33][6850/7330] lr: 1.000e-05, eta: 7:40:50, time: 1.246, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1271, s0.loss_cls: 0.0993, s0.acc: 96.2341, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1694, s1.loss_cls: 0.0464, s1.acc: 96.4484, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0807, s2.loss_cls: 0.0243, s2.acc: 96.2414, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0384, loss: 0.7999 2022-09-16 10:34:13,075 - mmdet - INFO - Epoch [33][6900/7330] lr: 1.000e-05, eta: 7:39:49, time: 1.235, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1335, s0.loss_cls: 0.0997, s0.acc: 96.1677, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1704, s1.loss_cls: 0.0458, s1.acc: 96.5323, s1.loss_bbox: 0.0687, s1.loss_mask: 0.0826, s2.loss_cls: 0.0241, s2.acc: 96.3333, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0395, loss: 0.8027 2022-09-16 10:35:15,185 - mmdet - INFO - Epoch [33][6950/7330] lr: 1.000e-05, eta: 7:38:47, time: 1.242, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1355, s0.loss_cls: 0.0977, s0.acc: 96.3071, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1685, s1.loss_cls: 0.0453, s1.acc: 96.5937, s1.loss_bbox: 0.0677, s1.loss_mask: 0.0794, s2.loss_cls: 0.0233, s2.acc: 96.4663, s2.loss_bbox: 0.0467, s2.loss_mask: 0.0379, loss: 0.7927 2022-09-16 10:36:16,506 - mmdet - INFO - Epoch [33][7000/7330] lr: 1.000e-05, eta: 7:37:46, time: 1.226, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1361, s0.loss_cls: 0.1014, s0.acc: 96.1233, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1716, s1.loss_cls: 0.0466, s1.acc: 96.4678, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0820, s2.loss_cls: 0.0244, s2.acc: 96.2438, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0390, loss: 0.8221 2022-09-16 10:37:19,409 - mmdet - INFO - Epoch [33][7050/7330] lr: 1.000e-05, eta: 7:36:45, time: 1.258, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1336, s0.loss_cls: 0.0990, s0.acc: 96.2021, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1716, s1.loss_cls: 0.0468, s1.acc: 96.3916, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0815, s2.loss_cls: 0.0246, s2.acc: 96.1117, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0384, loss: 0.8177 2022-09-16 10:38:19,851 - mmdet - INFO - Epoch [33][7100/7330] lr: 1.000e-05, eta: 7:35:43, time: 1.209, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1345, s0.loss_cls: 0.0954, s0.acc: 96.3259, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1668, s1.loss_cls: 0.0436, s1.acc: 96.6562, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0798, s2.loss_cls: 0.0229, s2.acc: 96.4380, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0379, loss: 0.7909 2022-09-16 10:39:22,095 - mmdet - INFO - Epoch [33][7150/7330] lr: 1.000e-05, eta: 7:34:41, time: 1.244, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0977, s0.acc: 96.1968, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1713, s1.loss_cls: 0.0454, s1.acc: 96.4571, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0820, s2.loss_cls: 0.0236, s2.acc: 96.2754, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0390, loss: 0.8087 2022-09-16 10:40:24,744 - mmdet - INFO - Epoch [33][7200/7330] lr: 1.000e-05, eta: 7:33:40, time: 1.253, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1328, s0.loss_cls: 0.1041, s0.acc: 96.0227, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1739, s1.loss_cls: 0.0481, s1.acc: 96.3098, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0833, s2.loss_cls: 0.0251, s2.acc: 96.0867, s2.loss_bbox: 0.0533, s2.loss_mask: 0.0396, loss: 0.8328 2022-09-16 10:41:26,083 - mmdet - INFO - Epoch [33][7250/7330] lr: 1.000e-05, eta: 7:32:39, time: 1.226, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1382, s0.loss_cls: 0.1041, s0.acc: 95.9971, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1707, s1.loss_cls: 0.0484, s1.acc: 96.2805, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0820, s2.loss_cls: 0.0252, s2.acc: 96.0717, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0392, loss: 0.8289 2022-09-16 10:42:27,008 - mmdet - INFO - Epoch [33][7300/7330] lr: 1.000e-05, eta: 7:31:37, time: 1.220, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1322, s0.loss_cls: 0.1020, s0.acc: 96.1125, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1682, s1.loss_cls: 0.0467, s1.acc: 96.4536, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0805, s2.loss_cls: 0.0240, s2.acc: 96.2864, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0385, loss: 0.8119 2022-09-16 10:43:14,572 - mmdet - INFO - Saving checkpoint at 33 epochs 2022-09-16 10:46:22,130 - mmdet - INFO - Evaluating bbox... 2022-09-16 10:47:03,920 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.587 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.772 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.646 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.445 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.622 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.726 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.746 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.746 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.746 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.620 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.782 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.871 2022-09-16 10:47:03,920 - mmdet - INFO - Evaluating segm... 2022-09-16 10:47:48,012 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.510 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.752 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.560 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.332 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.542 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.693 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.683 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.788 2022-09-16 10:47:48,909 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 10:47:48,910 - mmdet - INFO - Epoch(val) [33][313] bbox_mAP: 0.5870, bbox_mAP_50: 0.7720, bbox_mAP_75: 0.6460, bbox_mAP_s: 0.4450, bbox_mAP_m: 0.6220, bbox_mAP_l: 0.7260, bbox_mAP_copypaste: 0.587 0.772 0.646 0.445 0.622 0.726, segm_mAP: 0.5100, segm_mAP_50: 0.7520, segm_mAP_75: 0.5600, segm_mAP_s: 0.3320, segm_mAP_m: 0.5420, segm_mAP_l: 0.6930, segm_mAP_copypaste: 0.510 0.752 0.560 0.332 0.542 0.693 2022-09-16 10:50:43,431 - mmdet - INFO - Epoch [34][50/7330] lr: 1.000e-06, eta: 7:30:24, time: 3.489, data_time: 2.234, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1327, s0.loss_cls: 0.0937, s0.acc: 96.4099, s0.loss_bbox: 0.0533, s0.loss_mask: 0.1636, s1.loss_cls: 0.0431, s1.acc: 96.7019, s1.loss_bbox: 0.0659, s1.loss_mask: 0.0781, s2.loss_cls: 0.0221, s2.acc: 96.5210, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0374, loss: 0.7705 2022-09-16 10:51:43,690 - mmdet - INFO - Epoch [34][100/7330] lr: 1.000e-06, eta: 7:29:22, time: 1.204, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1373, s0.loss_cls: 0.0970, s0.acc: 96.3003, s0.loss_bbox: 0.0557, s0.loss_mask: 0.1673, s1.loss_cls: 0.0452, s1.acc: 96.5423, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0798, s2.loss_cls: 0.0230, s2.acc: 96.4457, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0381, loss: 0.7949 2022-09-16 10:52:44,730 - mmdet - INFO - Epoch [34][150/7330] lr: 1.000e-06, eta: 7:28:20, time: 1.222, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1281, s0.loss_cls: 0.1025, s0.acc: 96.0886, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1702, s1.loss_cls: 0.0474, s1.acc: 96.3976, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0807, s2.loss_cls: 0.0247, s2.acc: 96.1836, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0384, loss: 0.8185 2022-09-16 10:53:45,908 - mmdet - INFO - Epoch [34][200/7330] lr: 1.000e-06, eta: 7:27:18, time: 1.223, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1039, s0.acc: 96.0691, s0.loss_bbox: 0.0616, s0.loss_mask: 0.1712, s1.loss_cls: 0.0473, s1.acc: 96.4544, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0814, s2.loss_cls: 0.0247, s2.acc: 96.2436, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0386, loss: 0.8282 2022-09-16 10:54:47,601 - mmdet - INFO - Epoch [34][250/7330] lr: 1.000e-06, eta: 7:26:17, time: 1.235, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1318, s0.loss_cls: 0.0946, s0.acc: 96.4519, s0.loss_bbox: 0.0548, s0.loss_mask: 0.1633, s1.loss_cls: 0.0443, s1.acc: 96.6860, s1.loss_bbox: 0.0673, s1.loss_mask: 0.0773, s2.loss_cls: 0.0233, s2.acc: 96.5137, s2.loss_bbox: 0.0462, s2.loss_mask: 0.0366, loss: 0.7717 2022-09-16 10:55:48,134 - mmdet - INFO - Epoch [34][300/7330] lr: 1.000e-06, eta: 7:25:15, time: 1.211, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1340, s0.loss_cls: 0.0923, s0.acc: 96.5222, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1633, s1.loss_cls: 0.0426, s1.acc: 96.7810, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0785, s2.loss_cls: 0.0223, s2.acc: 96.4921, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0374, loss: 0.7774 2022-09-16 10:56:48,810 - mmdet - INFO - Epoch [34][350/7330] lr: 1.000e-06, eta: 7:24:13, time: 1.213, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1381, s0.loss_cls: 0.0995, s0.acc: 96.1917, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1630, s1.loss_cls: 0.0461, s1.acc: 96.5253, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0779, s2.loss_cls: 0.0240, s2.acc: 96.3051, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0371, loss: 0.7942 2022-09-16 10:57:49,315 - mmdet - INFO - Epoch [34][400/7330] lr: 1.000e-06, eta: 7:23:11, time: 1.211, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1309, s0.loss_cls: 0.0980, s0.acc: 96.2227, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1679, s1.loss_cls: 0.0452, s1.acc: 96.5719, s1.loss_bbox: 0.0691, s1.loss_mask: 0.0796, s2.loss_cls: 0.0233, s2.acc: 96.3783, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0381, loss: 0.7900 2022-09-16 10:58:50,747 - mmdet - INFO - Epoch [34][450/7330] lr: 1.000e-06, eta: 7:22:09, time: 1.229, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1344, s0.loss_cls: 0.0954, s0.acc: 96.3066, s0.loss_bbox: 0.0569, s0.loss_mask: 0.1675, s1.loss_cls: 0.0440, s1.acc: 96.5882, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0807, s2.loss_cls: 0.0223, s2.acc: 96.5238, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0385, loss: 0.7901 2022-09-16 10:59:51,514 - mmdet - INFO - Epoch [34][500/7330] lr: 1.000e-06, eta: 7:21:07, time: 1.215, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1352, s0.loss_cls: 0.1080, s0.acc: 95.9058, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1753, s1.loss_cls: 0.0501, s1.acc: 96.2620, s1.loss_bbox: 0.0776, s1.loss_mask: 0.0838, s2.loss_cls: 0.0258, s2.acc: 96.0351, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0400, loss: 0.8493 2022-09-16 11:00:52,562 - mmdet - INFO - Epoch [34][550/7330] lr: 1.000e-06, eta: 7:20:06, time: 1.220, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1270, s0.loss_cls: 0.0935, s0.acc: 96.4204, s0.loss_bbox: 0.0546, s0.loss_mask: 0.1666, s1.loss_cls: 0.0425, s1.acc: 96.7701, s1.loss_bbox: 0.0689, s1.loss_mask: 0.0792, s2.loss_cls: 0.0223, s2.acc: 96.5658, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0380, loss: 0.7735 2022-09-16 11:01:55,317 - mmdet - INFO - Epoch [34][600/7330] lr: 1.000e-06, eta: 7:19:04, time: 1.256, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1309, s0.loss_cls: 0.1032, s0.acc: 96.0461, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1685, s1.loss_cls: 0.0472, s1.acc: 96.3822, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0801, s2.loss_cls: 0.0243, s2.acc: 96.1914, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0381, loss: 0.8059 2022-09-16 11:02:56,914 - mmdet - INFO - Epoch [34][650/7330] lr: 1.000e-06, eta: 7:18:03, time: 1.232, data_time: 0.015, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1300, s0.loss_cls: 0.0964, s0.acc: 96.3254, s0.loss_bbox: 0.0552, s0.loss_mask: 0.1638, s1.loss_cls: 0.0457, s1.acc: 96.5620, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0784, s2.loss_cls: 0.0239, s2.acc: 96.3488, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0374, loss: 0.7835 2022-09-16 11:03:59,218 - mmdet - INFO - Epoch [34][700/7330] lr: 1.000e-06, eta: 7:17:02, time: 1.246, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1356, s0.loss_cls: 0.1051, s0.acc: 96.0217, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1702, s1.loss_cls: 0.0481, s1.acc: 96.3861, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0809, s2.loss_cls: 0.0253, s2.acc: 96.0982, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0388, loss: 0.8269 2022-09-16 11:05:00,208 - mmdet - INFO - Epoch [34][750/7330] lr: 1.000e-06, eta: 7:16:00, time: 1.219, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1320, s0.loss_cls: 0.1057, s0.acc: 95.9685, s0.loss_bbox: 0.0625, s0.loss_mask: 0.1737, s1.loss_cls: 0.0491, s1.acc: 96.2107, s1.loss_bbox: 0.0760, s1.loss_mask: 0.0826, s2.loss_cls: 0.0253, s2.acc: 96.1139, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0393, loss: 0.8339 2022-09-16 11:06:01,703 - mmdet - INFO - Epoch [34][800/7330] lr: 1.000e-06, eta: 7:14:58, time: 1.230, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1372, s0.loss_cls: 0.0978, s0.acc: 96.2644, s0.loss_bbox: 0.0551, s0.loss_mask: 0.1658, s1.loss_cls: 0.0445, s1.acc: 96.6218, s1.loss_bbox: 0.0676, s1.loss_mask: 0.0789, s2.loss_cls: 0.0226, s2.acc: 96.4564, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0379, loss: 0.7895 2022-09-16 11:07:03,409 - mmdet - INFO - Epoch [34][850/7330] lr: 1.000e-06, eta: 7:13:57, time: 1.234, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1280, s0.loss_cls: 0.0981, s0.acc: 96.2620, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1702, s1.loss_cls: 0.0459, s1.acc: 96.4908, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0808, s2.loss_cls: 0.0235, s2.acc: 96.2648, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0387, loss: 0.7955 2022-09-16 11:08:05,384 - mmdet - INFO - Epoch [34][900/7330] lr: 1.000e-06, eta: 7:12:55, time: 1.240, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1300, s0.loss_cls: 0.0972, s0.acc: 96.2847, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1672, s1.loss_cls: 0.0447, s1.acc: 96.5589, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0799, s2.loss_cls: 0.0234, s2.acc: 96.3234, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0379, loss: 0.7901 2022-09-16 11:09:06,489 - mmdet - INFO - Epoch [34][950/7330] lr: 1.000e-06, eta: 7:11:53, time: 1.222, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1345, s0.loss_cls: 0.1026, s0.acc: 96.0955, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1706, s1.loss_cls: 0.0475, s1.acc: 96.3457, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0821, s2.loss_cls: 0.0248, s2.acc: 96.1513, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0393, loss: 0.8198 2022-09-16 11:10:07,555 - mmdet - INFO - Epoch [34][1000/7330] lr: 1.000e-06, eta: 7:10:52, time: 1.221, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1322, s0.loss_cls: 0.0975, s0.acc: 96.2556, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1693, s1.loss_cls: 0.0452, s1.acc: 96.5028, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0811, s2.loss_cls: 0.0236, s2.acc: 96.2950, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0386, loss: 0.8074 2022-09-16 11:11:08,713 - mmdet - INFO - Epoch [34][1050/7330] lr: 1.000e-06, eta: 7:09:50, time: 1.223, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1409, s0.loss_cls: 0.1029, s0.acc: 96.0979, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1729, s1.loss_cls: 0.0476, s1.acc: 96.4406, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0827, s2.loss_cls: 0.0248, s2.acc: 96.1886, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0395, loss: 0.8318 2022-09-16 11:12:10,704 - mmdet - INFO - Epoch [34][1100/7330] lr: 1.000e-06, eta: 7:08:48, time: 1.237, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1326, s0.loss_cls: 0.0999, s0.acc: 96.1990, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1665, s1.loss_cls: 0.0465, s1.acc: 96.4798, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0794, s2.loss_cls: 0.0240, s2.acc: 96.2247, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0379, loss: 0.7977 2022-09-16 11:13:11,697 - mmdet - INFO - Epoch [34][1150/7330] lr: 1.000e-06, eta: 7:07:47, time: 1.223, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1310, s0.loss_cls: 0.0996, s0.acc: 96.2373, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1638, s1.loss_cls: 0.0456, s1.acc: 96.5594, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0779, s2.loss_cls: 0.0240, s2.acc: 96.4080, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0370, loss: 0.7906 2022-09-16 11:14:11,845 - mmdet - INFO - Epoch [34][1200/7330] lr: 1.000e-06, eta: 7:06:45, time: 1.203, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1281, s0.loss_cls: 0.0973, s0.acc: 96.2466, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1689, s1.loss_cls: 0.0447, s1.acc: 96.5697, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0803, s2.loss_cls: 0.0231, s2.acc: 96.3989, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0383, loss: 0.7934 2022-09-16 11:15:12,858 - mmdet - INFO - Epoch [34][1250/7330] lr: 1.000e-06, eta: 7:05:43, time: 1.220, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1294, s0.loss_cls: 0.0973, s0.acc: 96.3230, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1668, s1.loss_cls: 0.0454, s1.acc: 96.6278, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0795, s2.loss_cls: 0.0237, s2.acc: 96.3823, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0377, loss: 0.7865 2022-09-16 11:16:13,836 - mmdet - INFO - Epoch [34][1300/7330] lr: 1.000e-06, eta: 7:04:41, time: 1.220, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1370, s0.loss_cls: 0.0965, s0.acc: 96.3711, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1676, s1.loss_cls: 0.0454, s1.acc: 96.5982, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0803, s2.loss_cls: 0.0236, s2.acc: 96.3550, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0381, loss: 0.7972 2022-09-16 11:17:14,716 - mmdet - INFO - Epoch [34][1350/7330] lr: 1.000e-06, eta: 7:03:39, time: 1.218, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1348, s0.loss_cls: 0.0915, s0.acc: 96.4907, s0.loss_bbox: 0.0543, s0.loss_mask: 0.1644, s1.loss_cls: 0.0423, s1.acc: 96.7903, s1.loss_bbox: 0.0674, s1.loss_mask: 0.0781, s2.loss_cls: 0.0221, s2.acc: 96.5939, s2.loss_bbox: 0.0475, s2.loss_mask: 0.0374, loss: 0.7718 2022-09-16 11:18:16,516 - mmdet - INFO - Epoch [34][1400/7330] lr: 1.000e-06, eta: 7:02:38, time: 1.236, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1332, s0.loss_cls: 0.1033, s0.acc: 96.0422, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1720, s1.loss_cls: 0.0483, s1.acc: 96.3085, s1.loss_bbox: 0.0755, s1.loss_mask: 0.0823, s2.loss_cls: 0.0252, s2.acc: 96.0711, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0392, loss: 0.8257 2022-09-16 11:19:18,992 - mmdet - INFO - Epoch [34][1450/7330] lr: 1.000e-06, eta: 7:01:37, time: 1.250, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1293, s0.loss_cls: 0.0968, s0.acc: 96.2942, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1677, s1.loss_cls: 0.0454, s1.acc: 96.5844, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0801, s2.loss_cls: 0.0236, s2.acc: 96.3081, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0383, loss: 0.7952 2022-09-16 11:20:20,413 - mmdet - INFO - Epoch [34][1500/7330] lr: 1.000e-06, eta: 7:00:35, time: 1.228, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1315, s0.loss_cls: 0.0988, s0.acc: 96.2656, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1686, s1.loss_cls: 0.0461, s1.acc: 96.6129, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0805, s2.loss_cls: 0.0240, s2.acc: 96.3054, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0384, loss: 0.8006 2022-09-16 11:21:21,772 - mmdet - INFO - Epoch [34][1550/7330] lr: 1.000e-06, eta: 6:59:33, time: 1.227, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0113, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1287, s0.loss_cls: 0.0921, s0.acc: 96.4360, s0.loss_bbox: 0.0554, s0.loss_mask: 0.1678, s1.loss_cls: 0.0425, s1.acc: 96.7167, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0801, s2.loss_cls: 0.0224, s2.acc: 96.4991, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0381, loss: 0.7754 2022-09-16 11:22:22,665 - mmdet - INFO - Epoch [34][1600/7330] lr: 1.000e-06, eta: 6:58:32, time: 1.218, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1264, s0.loss_cls: 0.0994, s0.acc: 96.1794, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1702, s1.loss_cls: 0.0454, s1.acc: 96.4631, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0813, s2.loss_cls: 0.0234, s2.acc: 96.3186, s2.loss_bbox: 0.0526, s2.loss_mask: 0.0389, loss: 0.8090 2022-09-16 11:23:25,195 - mmdet - INFO - Epoch [34][1650/7330] lr: 1.000e-06, eta: 6:57:30, time: 1.251, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0223, loss_semantic_seg: 0.1343, s0.loss_cls: 0.1023, s0.acc: 96.0999, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1717, s1.loss_cls: 0.0469, s1.acc: 96.4214, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0816, s2.loss_cls: 0.0244, s2.acc: 96.1797, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0388, loss: 0.8207 2022-09-16 11:24:26,367 - mmdet - INFO - Epoch [34][1700/7330] lr: 1.000e-06, eta: 6:56:29, time: 1.223, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1290, s0.loss_cls: 0.1025, s0.acc: 96.0618, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1710, s1.loss_cls: 0.0473, s1.acc: 96.3815, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0819, s2.loss_cls: 0.0246, s2.acc: 96.1456, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0394, loss: 0.8154 2022-09-16 11:25:26,901 - mmdet - INFO - Epoch [34][1750/7330] lr: 1.000e-06, eta: 6:55:27, time: 1.211, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1378, s0.loss_cls: 0.0980, s0.acc: 96.2295, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1654, s1.loss_cls: 0.0448, s1.acc: 96.5583, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0793, s2.loss_cls: 0.0237, s2.acc: 96.2963, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0375, loss: 0.8051 2022-09-16 11:26:27,653 - mmdet - INFO - Epoch [34][1800/7330] lr: 1.000e-06, eta: 6:54:25, time: 1.215, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1334, s0.loss_cls: 0.0950, s0.acc: 96.3618, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1676, s1.loss_cls: 0.0439, s1.acc: 96.6221, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0803, s2.loss_cls: 0.0231, s2.acc: 96.4009, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0383, loss: 0.7916 2022-09-16 11:27:27,983 - mmdet - INFO - Epoch [34][1850/7330] lr: 1.000e-06, eta: 6:53:23, time: 1.206, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1361, s0.loss_cls: 0.0919, s0.acc: 96.4583, s0.loss_bbox: 0.0524, s0.loss_mask: 0.1604, s1.loss_cls: 0.0424, s1.acc: 96.6936, s1.loss_bbox: 0.0645, s1.loss_mask: 0.0768, s2.loss_cls: 0.0219, s2.acc: 96.5203, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0368, loss: 0.7609 2022-09-16 11:28:28,357 - mmdet - INFO - Epoch [34][1900/7330] lr: 1.000e-06, eta: 6:52:21, time: 1.208, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1273, s0.loss_cls: 0.0973, s0.acc: 96.3013, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1678, s1.loss_cls: 0.0452, s1.acc: 96.5894, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0808, s2.loss_cls: 0.0233, s2.acc: 96.3934, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0386, loss: 0.7920 2022-09-16 11:29:29,106 - mmdet - INFO - Epoch [34][1950/7330] lr: 1.000e-06, eta: 6:51:19, time: 1.215, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1315, s0.loss_cls: 0.0937, s0.acc: 96.4250, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1642, s1.loss_cls: 0.0434, s1.acc: 96.6582, s1.loss_bbox: 0.0694, s1.loss_mask: 0.0785, s2.loss_cls: 0.0227, s2.acc: 96.4659, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0374, loss: 0.7779 2022-09-16 11:30:29,941 - mmdet - INFO - Epoch [34][2000/7330] lr: 1.000e-06, eta: 6:50:17, time: 1.217, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1321, s0.loss_cls: 0.0988, s0.acc: 96.2507, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1674, s1.loss_cls: 0.0456, s1.acc: 96.5779, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0798, s2.loss_cls: 0.0237, s2.acc: 96.3183, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0381, loss: 0.8005 2022-09-16 11:31:31,095 - mmdet - INFO - Epoch [34][2050/7330] lr: 1.000e-06, eta: 6:49:16, time: 1.223, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1293, s0.loss_cls: 0.0989, s0.acc: 96.2693, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1668, s1.loss_cls: 0.0451, s1.acc: 96.6226, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0791, s2.loss_cls: 0.0237, s2.acc: 96.4401, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0379, loss: 0.7877 2022-09-16 11:32:32,017 - mmdet - INFO - Epoch [34][2100/7330] lr: 1.000e-06, eta: 6:48:14, time: 1.219, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1296, s0.loss_cls: 0.0971, s0.acc: 96.2859, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1659, s1.loss_cls: 0.0447, s1.acc: 96.6040, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0791, s2.loss_cls: 0.0232, s2.acc: 96.4514, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0378, loss: 0.7861 2022-09-16 11:33:32,861 - mmdet - INFO - Epoch [34][2150/7330] lr: 1.000e-06, eta: 6:47:12, time: 1.217, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1323, s0.loss_cls: 0.0902, s0.acc: 96.5857, s0.loss_bbox: 0.0525, s0.loss_mask: 0.1600, s1.loss_cls: 0.0414, s1.acc: 96.9026, s1.loss_bbox: 0.0669, s1.loss_mask: 0.0769, s2.loss_cls: 0.0216, s2.acc: 96.7345, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0370, loss: 0.7593 2022-09-16 11:34:33,719 - mmdet - INFO - Epoch [34][2200/7330] lr: 1.000e-06, eta: 6:46:10, time: 1.217, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1257, s0.loss_cls: 0.0972, s0.acc: 96.2456, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1683, s1.loss_cls: 0.0448, s1.acc: 96.5138, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0798, s2.loss_cls: 0.0231, s2.acc: 96.4093, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0381, loss: 0.7907 2022-09-16 11:35:34,544 - mmdet - INFO - Epoch [34][2250/7330] lr: 1.000e-06, eta: 6:45:08, time: 1.217, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1271, s0.loss_cls: 0.0945, s0.acc: 96.4231, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1652, s1.loss_cls: 0.0421, s1.acc: 96.8165, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0789, s2.loss_cls: 0.0219, s2.acc: 96.6492, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0376, loss: 0.7760 2022-09-16 11:36:36,231 - mmdet - INFO - Epoch [34][2300/7330] lr: 1.000e-06, eta: 6:44:07, time: 1.234, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1350, s0.loss_cls: 0.0980, s0.acc: 96.2576, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1636, s1.loss_cls: 0.0454, s1.acc: 96.5570, s1.loss_bbox: 0.0688, s1.loss_mask: 0.0788, s2.loss_cls: 0.0237, s2.acc: 96.3826, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0373, loss: 0.7888 2022-09-16 11:37:37,313 - mmdet - INFO - Epoch [34][2350/7330] lr: 1.000e-06, eta: 6:43:05, time: 1.221, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1334, s0.loss_cls: 0.0984, s0.acc: 96.2981, s0.loss_bbox: 0.0561, s0.loss_mask: 0.1673, s1.loss_cls: 0.0453, s1.acc: 96.5984, s1.loss_bbox: 0.0694, s1.loss_mask: 0.0802, s2.loss_cls: 0.0238, s2.acc: 96.4201, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0382, loss: 0.7925 2022-09-16 11:38:39,075 - mmdet - INFO - Epoch [34][2400/7330] lr: 1.000e-06, eta: 6:42:04, time: 1.235, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1334, s0.loss_cls: 0.1023, s0.acc: 96.0791, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1708, s1.loss_cls: 0.0482, s1.acc: 96.3055, s1.loss_bbox: 0.0745, s1.loss_mask: 0.0815, s2.loss_cls: 0.0252, s2.acc: 96.0666, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0388, loss: 0.8217 2022-09-16 11:39:40,133 - mmdet - INFO - Epoch [34][2450/7330] lr: 1.000e-06, eta: 6:41:02, time: 1.221, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1340, s0.loss_cls: 0.0997, s0.acc: 96.2319, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1661, s1.loss_cls: 0.0462, s1.acc: 96.5018, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0795, s2.loss_cls: 0.0235, s2.acc: 96.3680, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0379, loss: 0.7977 2022-09-16 11:40:43,155 - mmdet - INFO - Epoch [34][2500/7330] lr: 1.000e-06, eta: 6:40:01, time: 1.260, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1336, s0.loss_cls: 0.1028, s0.acc: 96.0649, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1691, s1.loss_cls: 0.0476, s1.acc: 96.4143, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0808, s2.loss_cls: 0.0252, s2.acc: 96.0800, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0387, loss: 0.8131 2022-09-16 11:41:45,192 - mmdet - INFO - Epoch [34][2550/7330] lr: 1.000e-06, eta: 6:38:59, time: 1.240, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1347, s0.loss_cls: 0.0990, s0.acc: 96.1853, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1688, s1.loss_cls: 0.0460, s1.acc: 96.4453, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0802, s2.loss_cls: 0.0238, s2.acc: 96.2660, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0381, loss: 0.8041 2022-09-16 11:42:45,916 - mmdet - INFO - Epoch [34][2600/7330] lr: 1.000e-06, eta: 6:37:58, time: 1.215, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1299, s0.loss_cls: 0.0985, s0.acc: 96.2842, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1691, s1.loss_cls: 0.0446, s1.acc: 96.6470, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0810, s2.loss_cls: 0.0231, s2.acc: 96.5029, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0386, loss: 0.7979 2022-09-16 11:43:47,806 - mmdet - INFO - Epoch [34][2650/7330] lr: 1.000e-06, eta: 6:36:56, time: 1.237, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1273, s0.loss_cls: 0.0977, s0.acc: 96.3030, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1697, s1.loss_cls: 0.0450, s1.acc: 96.5858, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0808, s2.loss_cls: 0.0231, s2.acc: 96.4696, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0384, loss: 0.7912 2022-09-16 11:44:49,524 - mmdet - INFO - Epoch [34][2700/7330] lr: 1.000e-06, eta: 6:35:55, time: 1.234, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1377, s0.loss_cls: 0.1042, s0.acc: 96.0767, s0.loss_bbox: 0.0619, s0.loss_mask: 0.1714, s1.loss_cls: 0.0476, s1.acc: 96.4349, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0815, s2.loss_cls: 0.0247, s2.acc: 96.2522, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0388, loss: 0.8305 2022-09-16 11:45:53,318 - mmdet - INFO - Epoch [34][2750/7330] lr: 1.000e-06, eta: 6:34:54, time: 1.276, data_time: 0.036, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1296, s0.loss_cls: 0.1013, s0.acc: 96.1453, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1702, s1.loss_cls: 0.0472, s1.acc: 96.3978, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0810, s2.loss_cls: 0.0245, s2.acc: 96.1538, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0387, loss: 0.8089 2022-09-16 11:46:53,687 - mmdet - INFO - Epoch [34][2800/7330] lr: 1.000e-06, eta: 6:33:52, time: 1.208, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0107, loss_rpn_bbox: 0.0186, loss_semantic_seg: 0.1362, s0.loss_cls: 0.0905, s0.acc: 96.4993, s0.loss_bbox: 0.0525, s0.loss_mask: 0.1615, s1.loss_cls: 0.0419, s1.acc: 96.7752, s1.loss_bbox: 0.0660, s1.loss_mask: 0.0771, s2.loss_cls: 0.0219, s2.acc: 96.5586, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0370, loss: 0.7612 2022-09-16 11:47:54,510 - mmdet - INFO - Epoch [34][2850/7330] lr: 1.000e-06, eta: 6:32:50, time: 1.217, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1295, s0.loss_cls: 0.1047, s0.acc: 95.9944, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1718, s1.loss_cls: 0.0487, s1.acc: 96.3114, s1.loss_bbox: 0.0750, s1.loss_mask: 0.0821, s2.loss_cls: 0.0252, s2.acc: 96.1944, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0391, loss: 0.8233 2022-09-16 11:48:55,789 - mmdet - INFO - Epoch [34][2900/7330] lr: 1.000e-06, eta: 6:31:48, time: 1.226, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1341, s0.loss_cls: 0.1011, s0.acc: 96.1987, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1628, s1.loss_cls: 0.0465, s1.acc: 96.5073, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0779, s2.loss_cls: 0.0243, s2.acc: 96.3338, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0370, loss: 0.7936 2022-09-16 11:49:57,070 - mmdet - INFO - Epoch [34][2950/7330] lr: 1.000e-06, eta: 6:30:47, time: 1.225, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1299, s0.loss_cls: 0.0984, s0.acc: 96.2551, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1679, s1.loss_cls: 0.0452, s1.acc: 96.5491, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0798, s2.loss_cls: 0.0236, s2.acc: 96.3471, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0380, loss: 0.7981 2022-09-16 11:50:57,328 - mmdet - INFO - Epoch [34][3000/7330] lr: 1.000e-06, eta: 6:29:45, time: 1.205, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1393, s0.loss_cls: 0.0978, s0.acc: 96.3323, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1689, s1.loss_cls: 0.0451, s1.acc: 96.6518, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0801, s2.loss_cls: 0.0237, s2.acc: 96.3203, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0380, loss: 0.8078 2022-09-16 11:51:58,155 - mmdet - INFO - Epoch [34][3050/7330] lr: 1.000e-06, eta: 6:28:43, time: 1.216, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1361, s0.loss_cls: 0.0985, s0.acc: 96.2571, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1646, s1.loss_cls: 0.0456, s1.acc: 96.5323, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0788, s2.loss_cls: 0.0236, s2.acc: 96.4314, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0377, loss: 0.7930 2022-09-16 11:52:58,777 - mmdet - INFO - Epoch [34][3100/7330] lr: 1.000e-06, eta: 6:27:41, time: 1.212, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1268, s0.loss_cls: 0.0948, s0.acc: 96.3921, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1661, s1.loss_cls: 0.0438, s1.acc: 96.6651, s1.loss_bbox: 0.0691, s1.loss_mask: 0.0795, s2.loss_cls: 0.0226, s2.acc: 96.4688, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0381, loss: 0.7757 2022-09-16 11:53:59,478 - mmdet - INFO - Epoch [34][3150/7330] lr: 1.000e-06, eta: 6:26:39, time: 1.213, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0186, loss_semantic_seg: 0.1425, s0.loss_cls: 0.0977, s0.acc: 96.2913, s0.loss_bbox: 0.0561, s0.loss_mask: 0.1673, s1.loss_cls: 0.0455, s1.acc: 96.5366, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0798, s2.loss_cls: 0.0231, s2.acc: 96.4875, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0384, loss: 0.8024 2022-09-16 11:55:00,168 - mmdet - INFO - Epoch [34][3200/7330] lr: 1.000e-06, eta: 6:25:37, time: 1.215, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1290, s0.loss_cls: 0.0950, s0.acc: 96.3901, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1647, s1.loss_cls: 0.0437, s1.acc: 96.6966, s1.loss_bbox: 0.0689, s1.loss_mask: 0.0776, s2.loss_cls: 0.0229, s2.acc: 96.4648, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0371, loss: 0.7761 2022-09-16 11:56:01,346 - mmdet - INFO - Epoch [34][3250/7330] lr: 1.000e-06, eta: 6:24:36, time: 1.224, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1306, s0.loss_cls: 0.0976, s0.acc: 96.2432, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1692, s1.loss_cls: 0.0457, s1.acc: 96.4721, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0807, s2.loss_cls: 0.0239, s2.acc: 96.2508, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0385, loss: 0.7935 2022-09-16 11:57:02,044 - mmdet - INFO - Epoch [34][3300/7330] lr: 1.000e-06, eta: 6:23:34, time: 1.214, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1312, s0.loss_cls: 0.0974, s0.acc: 96.2708, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1678, s1.loss_cls: 0.0449, s1.acc: 96.5872, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0801, s2.loss_cls: 0.0233, s2.acc: 96.4323, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0382, loss: 0.7945 2022-09-16 11:58:03,824 - mmdet - INFO - Epoch [34][3350/7330] lr: 1.000e-06, eta: 6:22:32, time: 1.236, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1319, s0.loss_cls: 0.0988, s0.acc: 96.1924, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1696, s1.loss_cls: 0.0462, s1.acc: 96.4599, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0807, s2.loss_cls: 0.0239, s2.acc: 96.2871, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0384, loss: 0.8000 2022-09-16 11:59:06,378 - mmdet - INFO - Epoch [34][3400/7330] lr: 1.000e-06, eta: 6:21:31, time: 1.251, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1279, s0.loss_cls: 0.1001, s0.acc: 96.2148, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1749, s1.loss_cls: 0.0469, s1.acc: 96.4824, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0837, s2.loss_cls: 0.0247, s2.acc: 96.2444, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0397, loss: 0.8204 2022-09-16 12:00:12,244 - mmdet - INFO - Epoch [34][3450/7330] lr: 1.000e-06, eta: 6:20:31, time: 1.317, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1378, s0.loss_cls: 0.1001, s0.acc: 96.2231, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1695, s1.loss_cls: 0.0457, s1.acc: 96.5549, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0805, s2.loss_cls: 0.0236, s2.acc: 96.3310, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0382, loss: 0.8104 2022-09-16 12:01:13,999 - mmdet - INFO - Epoch [34][3500/7330] lr: 1.000e-06, eta: 6:19:29, time: 1.235, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0226, loss_semantic_seg: 0.1346, s0.loss_cls: 0.1027, s0.acc: 96.0745, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1724, s1.loss_cls: 0.0475, s1.acc: 96.3578, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0815, s2.loss_cls: 0.0246, s2.acc: 96.1807, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0387, loss: 0.8235 2022-09-16 12:02:14,918 - mmdet - INFO - Epoch [34][3550/7330] lr: 1.000e-06, eta: 6:18:27, time: 1.218, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1299, s0.loss_cls: 0.0990, s0.acc: 96.2607, s0.loss_bbox: 0.0554, s0.loss_mask: 0.1656, s1.loss_cls: 0.0449, s1.acc: 96.5594, s1.loss_bbox: 0.0694, s1.loss_mask: 0.0793, s2.loss_cls: 0.0235, s2.acc: 96.3346, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0381, loss: 0.7869 2022-09-16 12:03:18,192 - mmdet - INFO - Epoch [34][3600/7330] lr: 1.000e-06, eta: 6:17:26, time: 1.266, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1326, s0.loss_cls: 0.0993, s0.acc: 96.2854, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1678, s1.loss_cls: 0.0465, s1.acc: 96.4462, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0804, s2.loss_cls: 0.0242, s2.acc: 96.2216, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0383, loss: 0.8010 2022-09-16 12:04:18,963 - mmdet - INFO - Epoch [34][3650/7330] lr: 1.000e-06, eta: 6:16:25, time: 1.215, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1323, s0.loss_cls: 0.1001, s0.acc: 96.1526, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1751, s1.loss_cls: 0.0461, s1.acc: 96.4331, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0837, s2.loss_cls: 0.0243, s2.acc: 96.1902, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0399, loss: 0.8189 2022-09-16 12:05:19,455 - mmdet - INFO - Epoch [34][3700/7330] lr: 1.000e-06, eta: 6:15:23, time: 1.210, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1314, s0.loss_cls: 0.0968, s0.acc: 96.3547, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1679, s1.loss_cls: 0.0436, s1.acc: 96.7835, s1.loss_bbox: 0.0702, s1.loss_mask: 0.0806, s2.loss_cls: 0.0226, s2.acc: 96.5375, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0383, loss: 0.7922 2022-09-16 12:06:20,365 - mmdet - INFO - Epoch [34][3750/7330] lr: 1.000e-06, eta: 6:14:21, time: 1.218, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1334, s0.loss_cls: 0.0962, s0.acc: 96.3489, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1703, s1.loss_cls: 0.0450, s1.acc: 96.5789, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0814, s2.loss_cls: 0.0235, s2.acc: 96.3337, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0387, loss: 0.7968 2022-09-16 12:07:22,170 - mmdet - INFO - Epoch [34][3800/7330] lr: 1.000e-06, eta: 6:13:19, time: 1.236, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1301, s0.loss_cls: 0.1010, s0.acc: 96.1436, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1725, s1.loss_cls: 0.0461, s1.acc: 96.5040, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0818, s2.loss_cls: 0.0239, s2.acc: 96.3998, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0390, loss: 0.8148 2022-09-16 12:08:24,352 - mmdet - INFO - Epoch [34][3850/7330] lr: 1.000e-06, eta: 6:12:18, time: 1.243, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1288, s0.loss_cls: 0.0956, s0.acc: 96.3511, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1618, s1.loss_cls: 0.0440, s1.acc: 96.6465, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0778, s2.loss_cls: 0.0226, s2.acc: 96.5467, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0372, loss: 0.7765 2022-09-16 12:09:27,112 - mmdet - INFO - Epoch [34][3900/7330] lr: 1.000e-06, eta: 6:11:17, time: 1.256, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1302, s0.loss_cls: 0.0983, s0.acc: 96.2612, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1653, s1.loss_cls: 0.0456, s1.acc: 96.5269, s1.loss_bbox: 0.0718, s1.loss_mask: 0.0795, s2.loss_cls: 0.0241, s2.acc: 96.3103, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0379, loss: 0.7930 2022-09-16 12:10:28,839 - mmdet - INFO - Epoch [34][3950/7330] lr: 1.000e-06, eta: 6:10:15, time: 1.235, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1354, s0.loss_cls: 0.0938, s0.acc: 96.4065, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1631, s1.loss_cls: 0.0433, s1.acc: 96.6698, s1.loss_bbox: 0.0686, s1.loss_mask: 0.0780, s2.loss_cls: 0.0224, s2.acc: 96.5350, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0373, loss: 0.7789 2022-09-16 12:11:29,588 - mmdet - INFO - Epoch [34][4000/7330] lr: 1.000e-06, eta: 6:09:13, time: 1.215, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1322, s0.loss_cls: 0.1029, s0.acc: 96.0513, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1667, s1.loss_cls: 0.0470, s1.acc: 96.4050, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0798, s2.loss_cls: 0.0241, s2.acc: 96.2415, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0382, loss: 0.8038 2022-09-16 12:12:30,347 - mmdet - INFO - Epoch [34][4050/7330] lr: 1.000e-06, eta: 6:08:12, time: 1.215, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1357, s0.loss_cls: 0.1043, s0.acc: 95.9387, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1670, s1.loss_cls: 0.0484, s1.acc: 96.2591, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0802, s2.loss_cls: 0.0249, s2.acc: 96.0728, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0382, loss: 0.8199 2022-09-16 12:13:31,586 - mmdet - INFO - Epoch [34][4100/7330] lr: 1.000e-06, eta: 6:07:10, time: 1.225, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0182, loss_semantic_seg: 0.1310, s0.loss_cls: 0.0977, s0.acc: 96.2810, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1651, s1.loss_cls: 0.0441, s1.acc: 96.6330, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0790, s2.loss_cls: 0.0230, s2.acc: 96.4405, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0376, loss: 0.7864 2022-09-16 12:14:32,384 - mmdet - INFO - Epoch [34][4150/7330] lr: 1.000e-06, eta: 6:06:08, time: 1.216, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1304, s0.loss_cls: 0.0999, s0.acc: 96.2375, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1687, s1.loss_cls: 0.0462, s1.acc: 96.5061, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0801, s2.loss_cls: 0.0237, s2.acc: 96.3466, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0380, loss: 0.8001 2022-09-16 12:15:33,441 - mmdet - INFO - Epoch [34][4200/7330] lr: 1.000e-06, eta: 6:05:07, time: 1.221, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1278, s0.loss_cls: 0.0961, s0.acc: 96.3613, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1672, s1.loss_cls: 0.0441, s1.acc: 96.6668, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0800, s2.loss_cls: 0.0229, s2.acc: 96.3986, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0381, loss: 0.7834 2022-09-16 12:16:34,358 - mmdet - INFO - Epoch [34][4250/7330] lr: 1.000e-06, eta: 6:04:05, time: 1.218, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1386, s0.loss_cls: 0.1008, s0.acc: 96.1331, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1707, s1.loss_cls: 0.0469, s1.acc: 96.4409, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0816, s2.loss_cls: 0.0246, s2.acc: 96.1896, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0388, loss: 0.8190 2022-09-16 12:17:35,705 - mmdet - INFO - Epoch [34][4300/7330] lr: 1.000e-06, eta: 6:03:03, time: 1.226, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1372, s0.loss_cls: 0.1020, s0.acc: 96.1177, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1697, s1.loss_cls: 0.0467, s1.acc: 96.4223, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0813, s2.loss_cls: 0.0241, s2.acc: 96.2327, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0387, loss: 0.8248 2022-09-16 12:18:36,578 - mmdet - INFO - Epoch [34][4350/7330] lr: 1.000e-06, eta: 6:02:01, time: 1.218, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1326, s0.loss_cls: 0.0926, s0.acc: 96.4556, s0.loss_bbox: 0.0541, s0.loss_mask: 0.1659, s1.loss_cls: 0.0425, s1.acc: 96.7595, s1.loss_bbox: 0.0665, s1.loss_mask: 0.0796, s2.loss_cls: 0.0221, s2.acc: 96.5865, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0382, loss: 0.7734 2022-09-16 12:19:37,977 - mmdet - INFO - Epoch [34][4400/7330] lr: 1.000e-06, eta: 6:01:00, time: 1.229, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1288, s0.loss_cls: 0.1008, s0.acc: 96.1746, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1697, s1.loss_cls: 0.0464, s1.acc: 96.5280, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0813, s2.loss_cls: 0.0244, s2.acc: 96.2196, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0389, loss: 0.8084 2022-09-16 12:20:39,581 - mmdet - INFO - Epoch [34][4450/7330] lr: 1.000e-06, eta: 5:59:58, time: 1.232, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1290, s0.loss_cls: 0.1062, s0.acc: 95.9834, s0.loss_bbox: 0.0640, s0.loss_mask: 0.1730, s1.loss_cls: 0.0500, s1.acc: 96.2330, s1.loss_bbox: 0.0769, s1.loss_mask: 0.0824, s2.loss_cls: 0.0256, s2.acc: 96.0638, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0393, loss: 0.8357 2022-09-16 12:21:41,266 - mmdet - INFO - Epoch [34][4500/7330] lr: 1.000e-06, eta: 5:58:57, time: 1.234, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1332, s0.loss_cls: 0.1001, s0.acc: 96.2278, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1661, s1.loss_cls: 0.0451, s1.acc: 96.6260, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0788, s2.loss_cls: 0.0234, s2.acc: 96.4285, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0375, loss: 0.7909 2022-09-16 12:22:42,334 - mmdet - INFO - Epoch [34][4550/7330] lr: 1.000e-06, eta: 5:57:55, time: 1.221, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1315, s0.loss_cls: 0.1008, s0.acc: 96.1880, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1663, s1.loss_cls: 0.0472, s1.acc: 96.4659, s1.loss_bbox: 0.0694, s1.loss_mask: 0.0787, s2.loss_cls: 0.0244, s2.acc: 96.2896, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0377, loss: 0.7960 2022-09-16 12:23:42,442 - mmdet - INFO - Epoch [34][4600/7330] lr: 1.000e-06, eta: 5:56:53, time: 1.202, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0187, loss_semantic_seg: 0.1285, s0.loss_cls: 0.0956, s0.acc: 96.3384, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1622, s1.loss_cls: 0.0444, s1.acc: 96.6601, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0777, s2.loss_cls: 0.0229, s2.acc: 96.5151, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0371, loss: 0.7768 2022-09-16 12:24:44,376 - mmdet - INFO - Epoch [34][4650/7330] lr: 1.000e-06, eta: 5:55:52, time: 1.239, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1344, s0.loss_cls: 0.1002, s0.acc: 96.2661, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1657, s1.loss_cls: 0.0465, s1.acc: 96.5135, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0796, s2.loss_cls: 0.0245, s2.acc: 96.2602, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0380, loss: 0.8030 2022-09-16 12:25:44,955 - mmdet - INFO - Epoch [34][4700/7330] lr: 1.000e-06, eta: 5:54:50, time: 1.212, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1381, s0.loss_cls: 0.1003, s0.acc: 96.1360, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1689, s1.loss_cls: 0.0463, s1.acc: 96.4643, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0809, s2.loss_cls: 0.0237, s2.acc: 96.2777, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0386, loss: 0.8141 2022-09-16 12:26:45,409 - mmdet - INFO - Epoch [34][4750/7330] lr: 1.000e-06, eta: 5:53:48, time: 1.209, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1377, s0.loss_cls: 0.1054, s0.acc: 95.9543, s0.loss_bbox: 0.0623, s0.loss_mask: 0.1713, s1.loss_cls: 0.0496, s1.acc: 96.2179, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0818, s2.loss_cls: 0.0256, s2.acc: 96.0547, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0389, loss: 0.8344 2022-09-16 12:27:46,675 - mmdet - INFO - Epoch [34][4800/7330] lr: 1.000e-06, eta: 5:52:46, time: 1.225, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1352, s0.loss_cls: 0.0977, s0.acc: 96.3257, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1665, s1.loss_cls: 0.0451, s1.acc: 96.6052, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0794, s2.loss_cls: 0.0234, s2.acc: 96.4287, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0380, loss: 0.7959 2022-09-16 12:28:47,465 - mmdet - INFO - Epoch [34][4850/7330] lr: 1.000e-06, eta: 5:51:45, time: 1.216, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1303, s0.loss_cls: 0.0987, s0.acc: 96.2974, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1660, s1.loss_cls: 0.0457, s1.acc: 96.5592, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0798, s2.loss_cls: 0.0238, s2.acc: 96.3626, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0383, loss: 0.7947 2022-09-16 12:29:47,618 - mmdet - INFO - Epoch [34][4900/7330] lr: 1.000e-06, eta: 5:50:43, time: 1.203, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0185, loss_semantic_seg: 0.1346, s0.loss_cls: 0.0933, s0.acc: 96.4641, s0.loss_bbox: 0.0545, s0.loss_mask: 0.1654, s1.loss_cls: 0.0426, s1.acc: 96.7496, s1.loss_bbox: 0.0678, s1.loss_mask: 0.0797, s2.loss_cls: 0.0223, s2.acc: 96.4975, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0381, loss: 0.7776 2022-09-16 12:30:47,719 - mmdet - INFO - Epoch [34][4950/7330] lr: 1.000e-06, eta: 5:49:41, time: 1.203, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1324, s0.loss_cls: 0.0973, s0.acc: 96.2852, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1688, s1.loss_cls: 0.0449, s1.acc: 96.6046, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0801, s2.loss_cls: 0.0230, s2.acc: 96.4439, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0383, loss: 0.7981 2022-09-16 12:31:48,618 - mmdet - INFO - Epoch [34][5000/7330] lr: 1.000e-06, eta: 5:48:39, time: 1.218, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1404, s0.loss_cls: 0.1015, s0.acc: 96.1160, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1706, s1.loss_cls: 0.0472, s1.acc: 96.4165, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0811, s2.loss_cls: 0.0245, s2.acc: 96.1615, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0386, loss: 0.8220 2022-09-16 12:32:50,164 - mmdet - INFO - Epoch [34][5050/7330] lr: 1.000e-06, eta: 5:47:37, time: 1.231, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1312, s0.loss_cls: 0.1018, s0.acc: 96.1233, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1727, s1.loss_cls: 0.0475, s1.acc: 96.4267, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0825, s2.loss_cls: 0.0248, s2.acc: 96.2392, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0395, loss: 0.8107 2022-09-16 12:33:52,032 - mmdet - INFO - Epoch [34][5100/7330] lr: 1.000e-06, eta: 5:46:36, time: 1.237, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1302, s0.loss_cls: 0.0984, s0.acc: 96.2478, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1661, s1.loss_cls: 0.0442, s1.acc: 96.6288, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0797, s2.loss_cls: 0.0233, s2.acc: 96.4294, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0384, loss: 0.7939 2022-09-16 12:34:52,499 - mmdet - INFO - Epoch [34][5150/7330] lr: 1.000e-06, eta: 5:45:34, time: 1.210, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0189, loss_semantic_seg: 0.1320, s0.loss_cls: 0.0900, s0.acc: 96.5422, s0.loss_bbox: 0.0525, s0.loss_mask: 0.1633, s1.loss_cls: 0.0412, s1.acc: 96.8245, s1.loss_bbox: 0.0647, s1.loss_mask: 0.0783, s2.loss_cls: 0.0213, s2.acc: 96.6833, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0374, loss: 0.7591 2022-09-16 12:35:54,301 - mmdet - INFO - Epoch [34][5200/7330] lr: 1.000e-06, eta: 5:44:33, time: 1.236, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1329, s0.loss_cls: 0.0946, s0.acc: 96.3469, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1668, s1.loss_cls: 0.0439, s1.acc: 96.6343, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0794, s2.loss_cls: 0.0228, s2.acc: 96.4737, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0377, loss: 0.7881 2022-09-16 12:36:55,429 - mmdet - INFO - Epoch [34][5250/7330] lr: 1.000e-06, eta: 5:43:31, time: 1.222, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1277, s0.loss_cls: 0.0986, s0.acc: 96.2273, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1633, s1.loss_cls: 0.0459, s1.acc: 96.5059, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0775, s2.loss_cls: 0.0242, s2.acc: 96.2529, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0372, loss: 0.7845 2022-09-16 12:37:56,828 - mmdet - INFO - Epoch [34][5300/7330] lr: 1.000e-06, eta: 5:42:29, time: 1.228, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1299, s0.loss_cls: 0.0978, s0.acc: 96.2415, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1684, s1.loss_cls: 0.0454, s1.acc: 96.5282, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0803, s2.loss_cls: 0.0232, s2.acc: 96.4046, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0380, loss: 0.7924 2022-09-16 12:38:58,565 - mmdet - INFO - Epoch [34][5350/7330] lr: 1.000e-06, eta: 5:41:28, time: 1.235, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1343, s0.loss_cls: 0.0995, s0.acc: 96.2148, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1691, s1.loss_cls: 0.0463, s1.acc: 96.5122, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0800, s2.loss_cls: 0.0240, s2.acc: 96.2737, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0382, loss: 0.8012 2022-09-16 12:40:00,629 - mmdet - INFO - Epoch [34][5400/7330] lr: 1.000e-06, eta: 5:40:26, time: 1.241, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1305, s0.loss_cls: 0.1017, s0.acc: 96.1995, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1663, s1.loss_cls: 0.0469, s1.acc: 96.4982, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0796, s2.loss_cls: 0.0246, s2.acc: 96.1995, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0379, loss: 0.8043 2022-09-16 12:41:01,204 - mmdet - INFO - Epoch [34][5450/7330] lr: 1.000e-06, eta: 5:39:25, time: 1.212, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1355, s0.loss_cls: 0.1010, s0.acc: 96.1572, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1674, s1.loss_cls: 0.0465, s1.acc: 96.4577, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0795, s2.loss_cls: 0.0244, s2.acc: 96.2328, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0376, loss: 0.8115 2022-09-16 12:42:02,337 - mmdet - INFO - Epoch [34][5500/7330] lr: 1.000e-06, eta: 5:38:23, time: 1.223, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1363, s0.loss_cls: 0.1005, s0.acc: 96.1809, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1716, s1.loss_cls: 0.0469, s1.acc: 96.4677, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0816, s2.loss_cls: 0.0242, s2.acc: 96.2353, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0386, loss: 0.8164 2022-09-16 12:43:03,840 - mmdet - INFO - Epoch [34][5550/7330] lr: 1.000e-06, eta: 5:37:21, time: 1.230, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1317, s0.loss_cls: 0.1041, s0.acc: 96.0315, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1732, s1.loss_cls: 0.0486, s1.acc: 96.3031, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0818, s2.loss_cls: 0.0249, s2.acc: 96.0921, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0392, loss: 0.8234 2022-09-16 12:44:04,982 - mmdet - INFO - Epoch [34][5600/7330] lr: 1.000e-06, eta: 5:36:20, time: 1.222, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1294, s0.loss_cls: 0.0994, s0.acc: 96.2090, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1663, s1.loss_cls: 0.0460, s1.acc: 96.5092, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0791, s2.loss_cls: 0.0236, s2.acc: 96.3690, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0377, loss: 0.7938 2022-09-16 12:45:06,500 - mmdet - INFO - Epoch [34][5650/7330] lr: 1.000e-06, eta: 5:35:18, time: 1.230, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1272, s0.loss_cls: 0.0946, s0.acc: 96.4336, s0.loss_bbox: 0.0538, s0.loss_mask: 0.1616, s1.loss_cls: 0.0433, s1.acc: 96.7279, s1.loss_bbox: 0.0673, s1.loss_mask: 0.0771, s2.loss_cls: 0.0224, s2.acc: 96.5411, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0369, loss: 0.7644 2022-09-16 12:46:07,206 - mmdet - INFO - Epoch [34][5700/7330] lr: 1.000e-06, eta: 5:34:16, time: 1.214, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1381, s0.loss_cls: 0.1039, s0.acc: 95.9893, s0.loss_bbox: 0.0626, s0.loss_mask: 0.1707, s1.loss_cls: 0.0475, s1.acc: 96.3270, s1.loss_bbox: 0.0763, s1.loss_mask: 0.0809, s2.loss_cls: 0.0247, s2.acc: 96.1743, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0383, loss: 0.8312 2022-09-16 12:47:08,600 - mmdet - INFO - Epoch [34][5750/7330] lr: 1.000e-06, eta: 5:33:15, time: 1.229, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1341, s0.loss_cls: 0.0963, s0.acc: 96.2332, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1642, s1.loss_cls: 0.0445, s1.acc: 96.5481, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0785, s2.loss_cls: 0.0233, s2.acc: 96.3964, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0373, loss: 0.7926 2022-09-16 12:48:08,990 - mmdet - INFO - Epoch [34][5800/7330] lr: 1.000e-06, eta: 5:32:13, time: 1.208, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1296, s0.loss_cls: 0.0959, s0.acc: 96.3210, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1690, s1.loss_cls: 0.0446, s1.acc: 96.5964, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0799, s2.loss_cls: 0.0231, s2.acc: 96.4547, s2.loss_bbox: 0.0517, s2.loss_mask: 0.0381, loss: 0.7953 2022-09-16 12:49:11,014 - mmdet - INFO - Epoch [34][5850/7330] lr: 1.000e-06, eta: 5:31:11, time: 1.241, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1312, s0.loss_cls: 0.1004, s0.acc: 96.1921, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1666, s1.loss_cls: 0.0453, s1.acc: 96.5812, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0800, s2.loss_cls: 0.0238, s2.acc: 96.3916, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0383, loss: 0.8057 2022-09-16 12:50:12,749 - mmdet - INFO - Epoch [34][5900/7330] lr: 1.000e-06, eta: 5:30:10, time: 1.235, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1308, s0.loss_cls: 0.0979, s0.acc: 96.2214, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1707, s1.loss_cls: 0.0448, s1.acc: 96.5612, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0819, s2.loss_cls: 0.0231, s2.acc: 96.3618, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0388, loss: 0.8040 2022-09-16 12:51:13,584 - mmdet - INFO - Epoch [34][5950/7330] lr: 1.000e-06, eta: 5:29:08, time: 1.217, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1284, s0.loss_cls: 0.1017, s0.acc: 96.1460, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1674, s1.loss_cls: 0.0475, s1.acc: 96.3979, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0799, s2.loss_cls: 0.0247, s2.acc: 96.1482, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0380, loss: 0.8077 2022-09-16 12:52:14,600 - mmdet - INFO - Epoch [34][6000/7330] lr: 1.000e-06, eta: 5:28:07, time: 1.220, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1360, s0.loss_cls: 0.0948, s0.acc: 96.3955, s0.loss_bbox: 0.0554, s0.loss_mask: 0.1658, s1.loss_cls: 0.0427, s1.acc: 96.7753, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0798, s2.loss_cls: 0.0224, s2.acc: 96.5444, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0383, loss: 0.7852 2022-09-16 12:53:16,253 - mmdet - INFO - Epoch [34][6050/7330] lr: 1.000e-06, eta: 5:27:05, time: 1.233, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1359, s0.loss_cls: 0.0960, s0.acc: 96.3623, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1667, s1.loss_cls: 0.0443, s1.acc: 96.7189, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0796, s2.loss_cls: 0.0232, s2.acc: 96.4699, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0382, loss: 0.7941 2022-09-16 12:54:17,727 - mmdet - INFO - Epoch [34][6100/7330] lr: 1.000e-06, eta: 5:26:03, time: 1.229, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1364, s0.loss_cls: 0.0971, s0.acc: 96.3044, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1676, s1.loss_cls: 0.0446, s1.acc: 96.6014, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0805, s2.loss_cls: 0.0231, s2.acc: 96.4777, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0385, loss: 0.7969 2022-09-16 12:55:19,132 - mmdet - INFO - Epoch [34][6150/7330] lr: 1.000e-06, eta: 5:25:02, time: 1.228, data_time: 0.015, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1333, s0.loss_cls: 0.1000, s0.acc: 96.2874, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1642, s1.loss_cls: 0.0459, s1.acc: 96.5658, s1.loss_bbox: 0.0688, s1.loss_mask: 0.0783, s2.loss_cls: 0.0237, s2.acc: 96.4207, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0375, loss: 0.7923 2022-09-16 12:56:19,899 - mmdet - INFO - Epoch [34][6200/7330] lr: 1.000e-06, eta: 5:24:00, time: 1.215, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1361, s0.loss_cls: 0.1003, s0.acc: 96.1675, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1676, s1.loss_cls: 0.0452, s1.acc: 96.5766, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0795, s2.loss_cls: 0.0235, s2.acc: 96.4185, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0379, loss: 0.8042 2022-09-16 12:57:21,043 - mmdet - INFO - Epoch [34][6250/7330] lr: 1.000e-06, eta: 5:22:58, time: 1.223, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0970, s0.acc: 96.2913, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1650, s1.loss_cls: 0.0446, s1.acc: 96.6327, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0786, s2.loss_cls: 0.0234, s2.acc: 96.4262, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0374, loss: 0.7968 2022-09-16 12:58:21,139 - mmdet - INFO - Epoch [34][6300/7330] lr: 1.000e-06, eta: 5:21:57, time: 1.202, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1240, s0.loss_cls: 0.0917, s0.acc: 96.4702, s0.loss_bbox: 0.0540, s0.loss_mask: 0.1668, s1.loss_cls: 0.0417, s1.acc: 96.6940, s1.loss_bbox: 0.0664, s1.loss_mask: 0.0804, s2.loss_cls: 0.0217, s2.acc: 96.5534, s2.loss_bbox: 0.0463, s2.loss_mask: 0.0384, loss: 0.7637 2022-09-16 12:59:22,381 - mmdet - INFO - Epoch [34][6350/7330] lr: 1.000e-06, eta: 5:20:55, time: 1.225, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1318, s0.loss_cls: 0.0927, s0.acc: 96.4443, s0.loss_bbox: 0.0550, s0.loss_mask: 0.1592, s1.loss_cls: 0.0431, s1.acc: 96.6922, s1.loss_bbox: 0.0671, s1.loss_mask: 0.0763, s2.loss_cls: 0.0221, s2.acc: 96.5629, s2.loss_bbox: 0.0469, s2.loss_mask: 0.0363, loss: 0.7626 2022-09-16 13:00:23,845 - mmdet - INFO - Epoch [34][6400/7330] lr: 1.000e-06, eta: 5:19:53, time: 1.229, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1368, s0.loss_cls: 0.0991, s0.acc: 96.2480, s0.loss_bbox: 0.0557, s0.loss_mask: 0.1677, s1.loss_cls: 0.0460, s1.acc: 96.5150, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0801, s2.loss_cls: 0.0237, s2.acc: 96.3843, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0381, loss: 0.8018 2022-09-16 13:01:25,066 - mmdet - INFO - Epoch [34][6450/7330] lr: 1.000e-06, eta: 5:18:52, time: 1.224, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1329, s0.loss_cls: 0.0941, s0.acc: 96.4358, s0.loss_bbox: 0.0550, s0.loss_mask: 0.1618, s1.loss_cls: 0.0429, s1.acc: 96.7911, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0770, s2.loss_cls: 0.0230, s2.acc: 96.4400, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0369, loss: 0.7745 2022-09-16 13:02:25,375 - mmdet - INFO - Epoch [34][6500/7330] lr: 1.000e-06, eta: 5:17:50, time: 1.206, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1337, s0.loss_cls: 0.0985, s0.acc: 96.2812, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1662, s1.loss_cls: 0.0461, s1.acc: 96.5457, s1.loss_bbox: 0.0691, s1.loss_mask: 0.0793, s2.loss_cls: 0.0237, s2.acc: 96.3653, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0378, loss: 0.7915 2022-09-16 13:03:26,548 - mmdet - INFO - Epoch [34][6550/7330] lr: 1.000e-06, eta: 5:16:48, time: 1.223, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1278, s0.loss_cls: 0.0943, s0.acc: 96.4126, s0.loss_bbox: 0.0548, s0.loss_mask: 0.1630, s1.loss_cls: 0.0435, s1.acc: 96.6791, s1.loss_bbox: 0.0682, s1.loss_mask: 0.0782, s2.loss_cls: 0.0224, s2.acc: 96.5213, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0375, loss: 0.7705 2022-09-16 13:04:29,636 - mmdet - INFO - Epoch [34][6600/7330] lr: 1.000e-06, eta: 5:15:47, time: 1.262, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1238, s0.loss_cls: 0.0946, s0.acc: 96.3481, s0.loss_bbox: 0.0556, s0.loss_mask: 0.1645, s1.loss_cls: 0.0441, s1.acc: 96.5945, s1.loss_bbox: 0.0685, s1.loss_mask: 0.0788, s2.loss_cls: 0.0228, s2.acc: 96.4399, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0374, loss: 0.7726 2022-09-16 13:05:30,861 - mmdet - INFO - Epoch [34][6650/7330] lr: 1.000e-06, eta: 5:14:45, time: 1.225, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1360, s0.loss_cls: 0.0953, s0.acc: 96.3552, s0.loss_bbox: 0.0547, s0.loss_mask: 0.1612, s1.loss_cls: 0.0436, s1.acc: 96.6535, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0771, s2.loss_cls: 0.0231, s2.acc: 96.5125, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0370, loss: 0.7810 2022-09-16 13:06:33,314 - mmdet - INFO - Epoch [34][6700/7330] lr: 1.000e-06, eta: 5:13:44, time: 1.248, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1348, s0.loss_cls: 0.0972, s0.acc: 96.2947, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1642, s1.loss_cls: 0.0447, s1.acc: 96.5346, s1.loss_bbox: 0.0689, s1.loss_mask: 0.0792, s2.loss_cls: 0.0231, s2.acc: 96.3294, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0380, loss: 0.7892 2022-09-16 13:07:33,950 - mmdet - INFO - Epoch [34][6750/7330] lr: 1.000e-06, eta: 5:12:42, time: 1.213, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1304, s0.loss_cls: 0.1034, s0.acc: 96.0088, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1732, s1.loss_cls: 0.0480, s1.acc: 96.2666, s1.loss_bbox: 0.0744, s1.loss_mask: 0.0826, s2.loss_cls: 0.0253, s2.acc: 96.0042, s2.loss_bbox: 0.0522, s2.loss_mask: 0.0394, loss: 0.8251 2022-09-16 13:08:36,027 - mmdet - INFO - Epoch [34][6800/7330] lr: 1.000e-06, eta: 5:11:41, time: 1.241, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1332, s0.loss_cls: 0.1060, s0.acc: 95.9253, s0.loss_bbox: 0.0623, s0.loss_mask: 0.1676, s1.loss_cls: 0.0487, s1.acc: 96.2316, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0798, s2.loss_cls: 0.0257, s2.acc: 95.9698, s2.loss_bbox: 0.0525, s2.loss_mask: 0.0380, loss: 0.8249 2022-09-16 13:09:35,890 - mmdet - INFO - Epoch [34][6850/7330] lr: 1.000e-06, eta: 5:10:39, time: 1.197, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1333, s0.loss_cls: 0.0921, s0.acc: 96.4241, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1638, s1.loss_cls: 0.0434, s1.acc: 96.6572, s1.loss_bbox: 0.0684, s1.loss_mask: 0.0787, s2.loss_cls: 0.0227, s2.acc: 96.4351, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0374, loss: 0.7751 2022-09-16 13:10:36,882 - mmdet - INFO - Epoch [34][6900/7330] lr: 1.000e-06, eta: 5:09:37, time: 1.220, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1334, s0.loss_cls: 0.0923, s0.acc: 96.4224, s0.loss_bbox: 0.0557, s0.loss_mask: 0.1649, s1.loss_cls: 0.0424, s1.acc: 96.7295, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0790, s2.loss_cls: 0.0226, s2.acc: 96.4380, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0377, loss: 0.7813 2022-09-16 13:11:39,069 - mmdet - INFO - Epoch [34][6950/7330] lr: 1.000e-06, eta: 5:08:36, time: 1.244, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1378, s0.loss_cls: 0.1016, s0.acc: 96.1562, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1698, s1.loss_cls: 0.0473, s1.acc: 96.4787, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0813, s2.loss_cls: 0.0246, s2.acc: 96.3114, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0387, loss: 0.8129 2022-09-16 13:12:41,221 - mmdet - INFO - Epoch [34][7000/7330] lr: 1.000e-06, eta: 5:07:34, time: 1.243, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1366, s0.loss_cls: 0.0988, s0.acc: 96.2615, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1673, s1.loss_cls: 0.0455, s1.acc: 96.5344, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0800, s2.loss_cls: 0.0233, s2.acc: 96.4097, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0380, loss: 0.8006 2022-09-16 13:13:43,322 - mmdet - INFO - Epoch [34][7050/7330] lr: 1.000e-06, eta: 5:06:33, time: 1.243, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1337, s0.loss_cls: 0.1045, s0.acc: 96.0579, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1694, s1.loss_cls: 0.0484, s1.acc: 96.3519, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0806, s2.loss_cls: 0.0252, s2.acc: 96.1419, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0385, loss: 0.8181 2022-09-16 13:14:44,594 - mmdet - INFO - Epoch [34][7100/7330] lr: 1.000e-06, eta: 5:05:31, time: 1.225, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1353, s0.loss_cls: 0.0976, s0.acc: 96.2612, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1698, s1.loss_cls: 0.0448, s1.acc: 96.6048, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0809, s2.loss_cls: 0.0237, s2.acc: 96.2724, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0386, loss: 0.8033 2022-09-16 13:15:46,312 - mmdet - INFO - Epoch [34][7150/7330] lr: 1.000e-06, eta: 5:04:30, time: 1.234, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1328, s0.loss_cls: 0.1004, s0.acc: 96.1960, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1691, s1.loss_cls: 0.0471, s1.acc: 96.4882, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0806, s2.loss_cls: 0.0242, s2.acc: 96.2898, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0386, loss: 0.8053 2022-09-16 13:16:46,941 - mmdet - INFO - Epoch [34][7200/7330] lr: 1.000e-06, eta: 5:03:28, time: 1.213, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1368, s0.loss_cls: 0.0975, s0.acc: 96.3120, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1642, s1.loss_cls: 0.0446, s1.acc: 96.6582, s1.loss_bbox: 0.0682, s1.loss_mask: 0.0783, s2.loss_cls: 0.0226, s2.acc: 96.5014, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0376, loss: 0.7874 2022-09-16 13:17:47,509 - mmdet - INFO - Epoch [34][7250/7330] lr: 1.000e-06, eta: 5:02:26, time: 1.211, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1276, s0.loss_cls: 0.0944, s0.acc: 96.4175, s0.loss_bbox: 0.0538, s0.loss_mask: 0.1681, s1.loss_cls: 0.0438, s1.acc: 96.6845, s1.loss_bbox: 0.0685, s1.loss_mask: 0.0806, s2.loss_cls: 0.0230, s2.acc: 96.5214, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0383, loss: 0.7782 2022-09-16 13:18:48,468 - mmdet - INFO - Epoch [34][7300/7330] lr: 1.000e-06, eta: 5:01:25, time: 1.219, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0179, loss_semantic_seg: 0.1333, s0.loss_cls: 0.0920, s0.acc: 96.4561, s0.loss_bbox: 0.0534, s0.loss_mask: 0.1680, s1.loss_cls: 0.0425, s1.acc: 96.7394, s1.loss_bbox: 0.0674, s1.loss_mask: 0.0807, s2.loss_cls: 0.0222, s2.acc: 96.5768, s2.loss_bbox: 0.0474, s2.loss_mask: 0.0386, loss: 0.7765 2022-09-16 13:19:33,242 - mmdet - INFO - Saving checkpoint at 34 epochs 2022-09-16 13:22:43,693 - mmdet - INFO - Evaluating bbox... 2022-09-16 13:23:23,708 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.588 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.773 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.646 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.452 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.623 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.727 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.621 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.781 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.870 2022-09-16 13:23:23,708 - mmdet - INFO - Evaluating segm... 2022-09-16 13:24:07,086 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.511 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.753 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.562 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.337 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.541 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.694 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.651 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.508 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.682 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.789 2022-09-16 13:24:08,012 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 13:24:08,014 - mmdet - INFO - Epoch(val) [34][313] bbox_mAP: 0.5880, bbox_mAP_50: 0.7730, bbox_mAP_75: 0.6460, bbox_mAP_s: 0.4520, bbox_mAP_m: 0.6230, bbox_mAP_l: 0.7270, bbox_mAP_copypaste: 0.588 0.773 0.646 0.452 0.623 0.727, segm_mAP: 0.5110, segm_mAP_50: 0.7530, segm_mAP_75: 0.5620, segm_mAP_s: 0.3370, segm_mAP_m: 0.5410, segm_mAP_l: 0.6940, segm_mAP_copypaste: 0.511 0.753 0.562 0.337 0.541 0.694 2022-09-16 13:27:09,921 - mmdet - INFO - Epoch [35][50/7330] lr: 1.000e-06, eta: 5:00:03, time: 3.637, data_time: 2.404, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1361, s0.loss_cls: 0.0959, s0.acc: 96.3933, s0.loss_bbox: 0.0536, s0.loss_mask: 0.1608, s1.loss_cls: 0.0452, s1.acc: 96.6224, s1.loss_bbox: 0.0654, s1.loss_mask: 0.0769, s2.loss_cls: 0.0236, s2.acc: 96.3893, s2.loss_bbox: 0.0453, s2.loss_mask: 0.0366, loss: 0.7729 2022-09-16 13:28:11,112 - mmdet - INFO - Epoch [35][100/7330] lr: 1.000e-06, eta: 4:59:01, time: 1.224, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1305, s0.loss_cls: 0.0965, s0.acc: 96.2556, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1708, s1.loss_cls: 0.0436, s1.acc: 96.6353, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0820, s2.loss_cls: 0.0228, s2.acc: 96.4225, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0390, loss: 0.8002 2022-09-16 13:29:12,675 - mmdet - INFO - Epoch [35][150/7330] lr: 1.000e-06, eta: 4:57:59, time: 1.231, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1353, s0.loss_cls: 0.0995, s0.acc: 96.1377, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1656, s1.loss_cls: 0.0462, s1.acc: 96.4445, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0791, s2.loss_cls: 0.0244, s2.acc: 96.2194, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0377, loss: 0.8064 2022-09-16 13:30:15,052 - mmdet - INFO - Epoch [35][200/7330] lr: 1.000e-06, eta: 4:56:58, time: 1.247, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1281, s0.loss_cls: 0.0951, s0.acc: 96.3850, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1668, s1.loss_cls: 0.0438, s1.acc: 96.6437, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0802, s2.loss_cls: 0.0226, s2.acc: 96.5493, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0382, loss: 0.7849 2022-09-16 13:31:16,788 - mmdet - INFO - Epoch [35][250/7330] lr: 1.000e-06, eta: 4:55:56, time: 1.235, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0188, loss_semantic_seg: 0.1330, s0.loss_cls: 0.0968, s0.acc: 96.3435, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1653, s1.loss_cls: 0.0444, s1.acc: 96.6745, s1.loss_bbox: 0.0702, s1.loss_mask: 0.0790, s2.loss_cls: 0.0228, s2.acc: 96.5315, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0379, loss: 0.7865 2022-09-16 13:32:18,327 - mmdet - INFO - Epoch [35][300/7330] lr: 1.000e-06, eta: 4:54:55, time: 1.229, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1334, s0.loss_cls: 0.1020, s0.acc: 96.0427, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1721, s1.loss_cls: 0.0473, s1.acc: 96.3101, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0824, s2.loss_cls: 0.0244, s2.acc: 96.1536, s2.loss_bbox: 0.0518, s2.loss_mask: 0.0391, loss: 0.8217 2022-09-16 13:33:18,738 - mmdet - INFO - Epoch [35][350/7330] lr: 1.000e-06, eta: 4:53:53, time: 1.209, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0180, loss_semantic_seg: 0.1314, s0.loss_cls: 0.0922, s0.acc: 96.4446, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1691, s1.loss_cls: 0.0430, s1.acc: 96.7501, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0810, s2.loss_cls: 0.0226, s2.acc: 96.5818, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0382, loss: 0.7865 2022-09-16 13:34:19,813 - mmdet - INFO - Epoch [35][400/7330] lr: 1.000e-06, eta: 4:52:51, time: 1.222, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1305, s0.loss_cls: 0.0979, s0.acc: 96.2517, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1651, s1.loss_cls: 0.0443, s1.acc: 96.6230, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0793, s2.loss_cls: 0.0230, s2.acc: 96.4864, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0377, loss: 0.7900 2022-09-16 13:35:21,254 - mmdet - INFO - Epoch [35][450/7330] lr: 1.000e-06, eta: 4:51:50, time: 1.229, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1317, s0.loss_cls: 0.1063, s0.acc: 95.9229, s0.loss_bbox: 0.0622, s0.loss_mask: 0.1718, s1.loss_cls: 0.0498, s1.acc: 96.1637, s1.loss_bbox: 0.0761, s1.loss_mask: 0.0818, s2.loss_cls: 0.0255, s2.acc: 95.9858, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0388, loss: 0.8329 2022-09-16 13:36:22,515 - mmdet - INFO - Epoch [35][500/7330] lr: 1.000e-06, eta: 4:50:48, time: 1.225, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1297, s0.loss_cls: 0.0957, s0.acc: 96.3308, s0.loss_bbox: 0.0569, s0.loss_mask: 0.1709, s1.loss_cls: 0.0443, s1.acc: 96.6253, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0817, s2.loss_cls: 0.0231, s2.acc: 96.4895, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0389, loss: 0.7930 2022-09-16 13:37:23,544 - mmdet - INFO - Epoch [35][550/7330] lr: 1.000e-06, eta: 4:49:46, time: 1.221, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1367, s0.loss_cls: 0.0933, s0.acc: 96.3701, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1605, s1.loss_cls: 0.0426, s1.acc: 96.6658, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0767, s2.loss_cls: 0.0224, s2.acc: 96.4648, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0367, loss: 0.7746 2022-09-16 13:38:24,769 - mmdet - INFO - Epoch [35][600/7330] lr: 1.000e-06, eta: 4:48:44, time: 1.221, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1333, s0.loss_cls: 0.0992, s0.acc: 96.1863, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1658, s1.loss_cls: 0.0456, s1.acc: 96.5458, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0793, s2.loss_cls: 0.0236, s2.acc: 96.3134, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0378, loss: 0.7959 2022-09-16 13:39:25,815 - mmdet - INFO - Epoch [35][650/7330] lr: 1.000e-06, eta: 4:47:43, time: 1.224, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1328, s0.loss_cls: 0.1018, s0.acc: 96.1133, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1699, s1.loss_cls: 0.0463, s1.acc: 96.4900, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0806, s2.loss_cls: 0.0240, s2.acc: 96.2242, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0384, loss: 0.8100 2022-09-16 13:40:27,547 - mmdet - INFO - Epoch [35][700/7330] lr: 1.000e-06, eta: 4:46:41, time: 1.234, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1318, s0.loss_cls: 0.1017, s0.acc: 96.1990, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1696, s1.loss_cls: 0.0464, s1.acc: 96.5267, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0806, s2.loss_cls: 0.0242, s2.acc: 96.3775, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0384, loss: 0.8036 2022-09-16 13:41:28,037 - mmdet - INFO - Epoch [35][750/7330] lr: 1.000e-06, eta: 4:45:39, time: 1.210, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1329, s0.loss_cls: 0.0977, s0.acc: 96.3035, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1710, s1.loss_cls: 0.0449, s1.acc: 96.5737, s1.loss_bbox: 0.0716, s1.loss_mask: 0.0816, s2.loss_cls: 0.0230, s2.acc: 96.4389, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0391, loss: 0.8015 2022-09-16 13:42:29,556 - mmdet - INFO - Epoch [35][800/7330] lr: 1.000e-06, eta: 4:44:38, time: 1.230, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1344, s0.loss_cls: 0.1004, s0.acc: 96.1753, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1729, s1.loss_cls: 0.0469, s1.acc: 96.4331, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0829, s2.loss_cls: 0.0243, s2.acc: 96.2172, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0395, loss: 0.8200 2022-09-16 13:43:30,293 - mmdet - INFO - Epoch [35][850/7330] lr: 1.000e-06, eta: 4:43:36, time: 1.215, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1328, s0.loss_cls: 0.0982, s0.acc: 96.3206, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1685, s1.loss_cls: 0.0452, s1.acc: 96.5902, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0801, s2.loss_cls: 0.0235, s2.acc: 96.3769, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0382, loss: 0.7976 2022-09-16 13:44:30,879 - mmdet - INFO - Epoch [35][900/7330] lr: 1.000e-06, eta: 4:42:34, time: 1.212, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1340, s0.loss_cls: 0.0985, s0.acc: 96.2783, s0.loss_bbox: 0.0569, s0.loss_mask: 0.1662, s1.loss_cls: 0.0459, s1.acc: 96.5259, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0796, s2.loss_cls: 0.0237, s2.acc: 96.3827, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0380, loss: 0.7940 2022-09-16 13:45:32,901 - mmdet - INFO - Epoch [35][950/7330] lr: 1.000e-06, eta: 4:41:33, time: 1.240, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1395, s0.loss_cls: 0.1035, s0.acc: 96.1338, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1685, s1.loss_cls: 0.0479, s1.acc: 96.4043, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0804, s2.loss_cls: 0.0250, s2.acc: 96.2125, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0382, loss: 0.8163 2022-09-16 13:46:33,179 - mmdet - INFO - Epoch [35][1000/7330] lr: 1.000e-06, eta: 4:40:31, time: 1.206, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1297, s0.loss_cls: 0.1006, s0.acc: 96.0984, s0.loss_bbox: 0.0609, s0.loss_mask: 0.1711, s1.loss_cls: 0.0461, s1.acc: 96.3786, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0816, s2.loss_cls: 0.0239, s2.acc: 96.2453, s2.loss_bbox: 0.0498, s2.loss_mask: 0.0387, loss: 0.8123 2022-09-16 13:47:34,586 - mmdet - INFO - Epoch [35][1050/7330] lr: 1.000e-06, eta: 4:39:29, time: 1.228, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1353, s0.loss_cls: 0.0958, s0.acc: 96.3423, s0.loss_bbox: 0.0556, s0.loss_mask: 0.1651, s1.loss_cls: 0.0432, s1.acc: 96.6699, s1.loss_bbox: 0.0691, s1.loss_mask: 0.0791, s2.loss_cls: 0.0222, s2.acc: 96.4854, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0377, loss: 0.7848 2022-09-16 13:48:35,023 - mmdet - INFO - Epoch [35][1100/7330] lr: 1.000e-06, eta: 4:38:27, time: 1.208, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1267, s0.loss_cls: 0.0976, s0.acc: 96.2131, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1660, s1.loss_cls: 0.0443, s1.acc: 96.5909, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0792, s2.loss_cls: 0.0233, s2.acc: 96.3492, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0378, loss: 0.7860 2022-09-16 13:49:36,685 - mmdet - INFO - Epoch [35][1150/7330] lr: 1.000e-06, eta: 4:37:26, time: 1.234, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1324, s0.loss_cls: 0.1011, s0.acc: 96.1365, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1747, s1.loss_cls: 0.0462, s1.acc: 96.4947, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0834, s2.loss_cls: 0.0243, s2.acc: 96.2791, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0398, loss: 0.8184 2022-09-16 13:50:38,167 - mmdet - INFO - Epoch [35][1200/7330] lr: 1.000e-06, eta: 4:36:24, time: 1.226, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1378, s0.loss_cls: 0.0989, s0.acc: 96.2195, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1725, s1.loss_cls: 0.0456, s1.acc: 96.5076, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0830, s2.loss_cls: 0.0239, s2.acc: 96.2469, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0395, loss: 0.8178 2022-09-16 13:51:40,058 - mmdet - INFO - Epoch [35][1250/7330] lr: 1.000e-06, eta: 4:35:22, time: 1.242, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1291, s0.loss_cls: 0.0956, s0.acc: 96.3640, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1695, s1.loss_cls: 0.0439, s1.acc: 96.6676, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0806, s2.loss_cls: 0.0232, s2.acc: 96.4119, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0383, loss: 0.7904 2022-09-16 13:52:40,858 - mmdet - INFO - Epoch [35][1300/7330] lr: 1.000e-06, eta: 4:34:21, time: 1.216, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0188, loss_semantic_seg: 0.1332, s0.loss_cls: 0.0957, s0.acc: 96.3481, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1703, s1.loss_cls: 0.0441, s1.acc: 96.6304, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0819, s2.loss_cls: 0.0232, s2.acc: 96.4039, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0390, loss: 0.7954 2022-09-16 13:53:41,473 - mmdet - INFO - Epoch [35][1350/7330] lr: 1.000e-06, eta: 4:33:19, time: 1.212, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1385, s0.loss_cls: 0.0981, s0.acc: 96.2817, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1650, s1.loss_cls: 0.0450, s1.acc: 96.5768, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0785, s2.loss_cls: 0.0230, s2.acc: 96.4480, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0378, loss: 0.7966 2022-09-16 13:54:43,983 - mmdet - INFO - Epoch [35][1400/7330] lr: 1.000e-06, eta: 4:32:18, time: 1.250, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1288, s0.loss_cls: 0.0948, s0.acc: 96.3728, s0.loss_bbox: 0.0556, s0.loss_mask: 0.1611, s1.loss_cls: 0.0439, s1.acc: 96.6359, s1.loss_bbox: 0.0682, s1.loss_mask: 0.0768, s2.loss_cls: 0.0224, s2.acc: 96.4634, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0366, loss: 0.7683 2022-09-16 13:55:44,686 - mmdet - INFO - Epoch [35][1450/7330] lr: 1.000e-06, eta: 4:31:16, time: 1.214, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1300, s0.loss_cls: 0.0992, s0.acc: 96.2222, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1729, s1.loss_cls: 0.0458, s1.acc: 96.5274, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0825, s2.loss_cls: 0.0244, s2.acc: 96.2592, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0391, loss: 0.8074 2022-09-16 13:56:45,914 - mmdet - INFO - Epoch [35][1500/7330] lr: 1.000e-06, eta: 4:30:14, time: 1.224, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1331, s0.loss_cls: 0.0917, s0.acc: 96.4785, s0.loss_bbox: 0.0558, s0.loss_mask: 0.1694, s1.loss_cls: 0.0416, s1.acc: 96.7718, s1.loss_bbox: 0.0687, s1.loss_mask: 0.0812, s2.loss_cls: 0.0215, s2.acc: 96.6101, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0387, loss: 0.7827 2022-09-16 13:57:46,684 - mmdet - INFO - Epoch [35][1550/7330] lr: 1.000e-06, eta: 4:29:12, time: 1.215, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1351, s0.loss_cls: 0.1009, s0.acc: 96.2026, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1657, s1.loss_cls: 0.0460, s1.acc: 96.5355, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0795, s2.loss_cls: 0.0240, s2.acc: 96.3004, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0381, loss: 0.7993 2022-09-16 13:58:47,999 - mmdet - INFO - Epoch [35][1600/7330] lr: 1.000e-06, eta: 4:28:11, time: 1.226, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1312, s0.loss_cls: 0.1034, s0.acc: 96.0803, s0.loss_bbox: 0.0617, s0.loss_mask: 0.1705, s1.loss_cls: 0.0485, s1.acc: 96.3697, s1.loss_bbox: 0.0740, s1.loss_mask: 0.0813, s2.loss_cls: 0.0251, s2.acc: 96.1242, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0383, loss: 0.8206 2022-09-16 13:59:49,533 - mmdet - INFO - Epoch [35][1650/7330] lr: 1.000e-06, eta: 4:27:09, time: 1.231, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1332, s0.loss_cls: 0.0890, s0.acc: 96.6008, s0.loss_bbox: 0.0530, s0.loss_mask: 0.1625, s1.loss_cls: 0.0406, s1.acc: 96.8866, s1.loss_bbox: 0.0668, s1.loss_mask: 0.0778, s2.loss_cls: 0.0216, s2.acc: 96.6590, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0372, loss: 0.7595 2022-09-16 14:00:50,294 - mmdet - INFO - Epoch [35][1700/7330] lr: 1.000e-06, eta: 4:26:07, time: 1.215, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1402, s0.loss_cls: 0.0999, s0.acc: 96.1511, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1694, s1.loss_cls: 0.0467, s1.acc: 96.4043, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0806, s2.loss_cls: 0.0242, s2.acc: 96.2104, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0385, loss: 0.8115 2022-09-16 14:01:52,082 - mmdet - INFO - Epoch [35][1750/7330] lr: 1.000e-06, eta: 4:25:06, time: 1.236, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1321, s0.loss_cls: 0.1026, s0.acc: 96.1135, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1693, s1.loss_cls: 0.0467, s1.acc: 96.4591, s1.loss_bbox: 0.0735, s1.loss_mask: 0.0808, s2.loss_cls: 0.0245, s2.acc: 96.2491, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0382, loss: 0.8137 2022-09-16 14:02:52,725 - mmdet - INFO - Epoch [35][1800/7330] lr: 1.000e-06, eta: 4:24:04, time: 1.213, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1371, s0.loss_cls: 0.0999, s0.acc: 96.1802, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1707, s1.loss_cls: 0.0457, s1.acc: 96.5321, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0816, s2.loss_cls: 0.0239, s2.acc: 96.3375, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0390, loss: 0.8155 2022-09-16 14:03:53,620 - mmdet - INFO - Epoch [35][1850/7330] lr: 1.000e-06, eta: 4:23:02, time: 1.218, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1271, s0.loss_cls: 0.0986, s0.acc: 96.2671, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1658, s1.loss_cls: 0.0448, s1.acc: 96.6487, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0790, s2.loss_cls: 0.0233, s2.acc: 96.4489, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0380, loss: 0.7906 2022-09-16 14:04:55,467 - mmdet - INFO - Epoch [35][1900/7330] lr: 1.000e-06, eta: 4:22:01, time: 1.236, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1267, s0.loss_cls: 0.1009, s0.acc: 96.1370, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1730, s1.loss_cls: 0.0467, s1.acc: 96.5031, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0823, s2.loss_cls: 0.0242, s2.acc: 96.3455, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0393, loss: 0.8102 2022-09-16 14:05:56,198 - mmdet - INFO - Epoch [35][1950/7330] lr: 1.000e-06, eta: 4:20:59, time: 1.215, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1362, s0.loss_cls: 0.1001, s0.acc: 96.2224, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1677, s1.loss_cls: 0.0465, s1.acc: 96.4690, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0797, s2.loss_cls: 0.0237, s2.acc: 96.2819, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0381, loss: 0.8013 2022-09-16 14:06:57,815 - mmdet - INFO - Epoch [35][2000/7330] lr: 1.000e-06, eta: 4:19:57, time: 1.233, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1358, s0.loss_cls: 0.1038, s0.acc: 96.0188, s0.loss_bbox: 0.0602, s0.loss_mask: 0.1703, s1.loss_cls: 0.0476, s1.acc: 96.3648, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0810, s2.loss_cls: 0.0247, s2.acc: 96.1309, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0384, loss: 0.8205 2022-09-16 14:07:59,777 - mmdet - INFO - Epoch [35][2050/7330] lr: 1.000e-06, eta: 4:18:56, time: 1.239, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1307, s0.loss_cls: 0.0989, s0.acc: 96.1992, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1675, s1.loss_cls: 0.0455, s1.acc: 96.4977, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0812, s2.loss_cls: 0.0239, s2.acc: 96.2456, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0385, loss: 0.8007 2022-09-16 14:09:01,568 - mmdet - INFO - Epoch [35][2100/7330] lr: 1.000e-06, eta: 4:17:54, time: 1.236, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1344, s0.loss_cls: 0.1012, s0.acc: 96.1636, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1669, s1.loss_cls: 0.0463, s1.acc: 96.4707, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0784, s2.loss_cls: 0.0240, s2.acc: 96.2974, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0374, loss: 0.8075 2022-09-16 14:10:02,513 - mmdet - INFO - Epoch [35][2150/7330] lr: 1.000e-06, eta: 4:16:52, time: 1.219, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1297, s0.loss_cls: 0.0968, s0.acc: 96.2754, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1649, s1.loss_cls: 0.0452, s1.acc: 96.5188, s1.loss_bbox: 0.0694, s1.loss_mask: 0.0786, s2.loss_cls: 0.0235, s2.acc: 96.3810, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0377, loss: 0.7830 2022-09-16 14:11:03,330 - mmdet - INFO - Epoch [35][2200/7330] lr: 1.000e-06, eta: 4:15:51, time: 1.217, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1335, s0.loss_cls: 0.1009, s0.acc: 96.1191, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1739, s1.loss_cls: 0.0478, s1.acc: 96.3463, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0829, s2.loss_cls: 0.0246, s2.acc: 96.1769, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0397, loss: 0.8199 2022-09-16 14:12:04,546 - mmdet - INFO - Epoch [35][2250/7330] lr: 1.000e-06, eta: 4:14:49, time: 1.224, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1355, s0.loss_cls: 0.1001, s0.acc: 96.1726, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1668, s1.loss_cls: 0.0458, s1.acc: 96.5371, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0794, s2.loss_cls: 0.0236, s2.acc: 96.4131, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0380, loss: 0.8055 2022-09-16 14:13:05,235 - mmdet - INFO - Epoch [35][2300/7330] lr: 1.000e-06, eta: 4:13:47, time: 1.214, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0183, loss_semantic_seg: 0.1319, s0.loss_cls: 0.0947, s0.acc: 96.3748, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1627, s1.loss_cls: 0.0432, s1.acc: 96.7277, s1.loss_bbox: 0.0683, s1.loss_mask: 0.0776, s2.loss_cls: 0.0227, s2.acc: 96.5461, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0369, loss: 0.7743 2022-09-16 14:14:06,825 - mmdet - INFO - Epoch [35][2350/7330] lr: 1.000e-06, eta: 4:12:46, time: 1.232, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1326, s0.loss_cls: 0.0949, s0.acc: 96.3987, s0.loss_bbox: 0.0554, s0.loss_mask: 0.1652, s1.loss_cls: 0.0443, s1.acc: 96.6707, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0798, s2.loss_cls: 0.0230, s2.acc: 96.5362, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0382, loss: 0.7859 2022-09-16 14:15:08,412 - mmdet - INFO - Epoch [35][2400/7330] lr: 1.000e-06, eta: 4:11:44, time: 1.232, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0185, loss_semantic_seg: 0.1304, s0.loss_cls: 0.0957, s0.acc: 96.3804, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1647, s1.loss_cls: 0.0442, s1.acc: 96.7051, s1.loss_bbox: 0.0679, s1.loss_mask: 0.0786, s2.loss_cls: 0.0230, s2.acc: 96.3888, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0377, loss: 0.7750 2022-09-16 14:16:09,030 - mmdet - INFO - Epoch [35][2450/7330] lr: 1.000e-06, eta: 4:10:42, time: 1.212, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1329, s0.loss_cls: 0.1009, s0.acc: 96.1960, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1692, s1.loss_cls: 0.0460, s1.acc: 96.5191, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0812, s2.loss_cls: 0.0241, s2.acc: 96.3623, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0388, loss: 0.8096 2022-09-16 14:17:10,203 - mmdet - INFO - Epoch [35][2500/7330] lr: 1.000e-06, eta: 4:09:41, time: 1.223, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1299, s0.loss_cls: 0.0933, s0.acc: 96.4285, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1637, s1.loss_cls: 0.0424, s1.acc: 96.7242, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0785, s2.loss_cls: 0.0221, s2.acc: 96.5673, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0374, loss: 0.7793 2022-09-16 14:18:11,418 - mmdet - INFO - Epoch [35][2550/7330] lr: 1.000e-06, eta: 4:08:39, time: 1.224, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1297, s0.loss_cls: 0.1003, s0.acc: 96.2019, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1651, s1.loss_cls: 0.0465, s1.acc: 96.4830, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0781, s2.loss_cls: 0.0242, s2.acc: 96.3252, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0373, loss: 0.7945 2022-09-16 14:19:12,451 - mmdet - INFO - Epoch [35][2600/7330] lr: 1.000e-06, eta: 4:07:37, time: 1.221, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1347, s0.loss_cls: 0.0978, s0.acc: 96.3010, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1632, s1.loss_cls: 0.0457, s1.acc: 96.5923, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0779, s2.loss_cls: 0.0235, s2.acc: 96.4062, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0372, loss: 0.7905 2022-09-16 14:20:13,791 - mmdet - INFO - Epoch [35][2650/7330] lr: 1.000e-06, eta: 4:06:36, time: 1.224, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1331, s0.loss_cls: 0.1019, s0.acc: 96.1653, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1668, s1.loss_cls: 0.0475, s1.acc: 96.4400, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0797, s2.loss_cls: 0.0245, s2.acc: 96.3051, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0384, loss: 0.8035 2022-09-16 14:21:14,357 - mmdet - INFO - Epoch [35][2700/7330] lr: 1.000e-06, eta: 4:05:34, time: 1.214, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1371, s0.loss_cls: 0.0918, s0.acc: 96.5205, s0.loss_bbox: 0.0542, s0.loss_mask: 0.1675, s1.loss_cls: 0.0423, s1.acc: 96.8236, s1.loss_bbox: 0.0681, s1.loss_mask: 0.0804, s2.loss_cls: 0.0223, s2.acc: 96.5744, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0385, loss: 0.7824 2022-09-16 14:22:16,333 - mmdet - INFO - Epoch [35][2750/7330] lr: 1.000e-06, eta: 4:04:32, time: 1.240, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1300, s0.loss_cls: 0.0976, s0.acc: 96.3057, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1682, s1.loss_cls: 0.0448, s1.acc: 96.5940, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0797, s2.loss_cls: 0.0233, s2.acc: 96.4934, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0378, loss: 0.7891 2022-09-16 14:23:17,394 - mmdet - INFO - Epoch [35][2800/7330] lr: 1.000e-06, eta: 4:03:31, time: 1.221, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1278, s0.loss_cls: 0.0985, s0.acc: 96.2229, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1656, s1.loss_cls: 0.0447, s1.acc: 96.5499, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0794, s2.loss_cls: 0.0235, s2.acc: 96.3349, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0379, loss: 0.7910 2022-09-16 14:24:18,217 - mmdet - INFO - Epoch [35][2850/7330] lr: 1.000e-06, eta: 4:02:29, time: 1.216, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0109, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1277, s0.loss_cls: 0.0944, s0.acc: 96.3762, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1673, s1.loss_cls: 0.0432, s1.acc: 96.7344, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0800, s2.loss_cls: 0.0225, s2.acc: 96.5930, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0380, loss: 0.7764 2022-09-16 14:25:18,899 - mmdet - INFO - Epoch [35][2900/7330] lr: 1.000e-06, eta: 4:01:27, time: 1.213, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1312, s0.loss_cls: 0.0997, s0.acc: 96.1921, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1686, s1.loss_cls: 0.0459, s1.acc: 96.5843, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0801, s2.loss_cls: 0.0241, s2.acc: 96.3358, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0384, loss: 0.8069 2022-09-16 14:26:19,980 - mmdet - INFO - Epoch [35][2950/7330] lr: 1.000e-06, eta: 4:00:26, time: 1.222, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1337, s0.loss_cls: 0.1023, s0.acc: 96.0952, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1683, s1.loss_cls: 0.0471, s1.acc: 96.3806, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0809, s2.loss_cls: 0.0244, s2.acc: 96.1988, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0385, loss: 0.8110 2022-09-16 14:27:20,854 - mmdet - INFO - Epoch [35][3000/7330] lr: 1.000e-06, eta: 3:59:24, time: 1.218, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1345, s0.loss_cls: 0.1004, s0.acc: 96.0837, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1746, s1.loss_cls: 0.0467, s1.acc: 96.3656, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0823, s2.loss_cls: 0.0241, s2.acc: 96.2278, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0391, loss: 0.8194 2022-09-16 14:28:21,644 - mmdet - INFO - Epoch [35][3050/7330] lr: 1.000e-06, eta: 3:58:22, time: 1.215, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1357, s0.loss_cls: 0.0968, s0.acc: 96.3506, s0.loss_bbox: 0.0556, s0.loss_mask: 0.1666, s1.loss_cls: 0.0443, s1.acc: 96.7288, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0795, s2.loss_cls: 0.0231, s2.acc: 96.4974, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0379, loss: 0.7915 2022-09-16 14:29:21,873 - mmdet - INFO - Epoch [35][3100/7330] lr: 1.000e-06, eta: 3:57:20, time: 1.204, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1297, s0.loss_cls: 0.0992, s0.acc: 96.1653, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1658, s1.loss_cls: 0.0457, s1.acc: 96.4964, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0792, s2.loss_cls: 0.0237, s2.acc: 96.2495, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0378, loss: 0.7933 2022-09-16 14:30:22,754 - mmdet - INFO - Epoch [35][3150/7330] lr: 1.000e-06, eta: 3:56:19, time: 1.218, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1305, s0.loss_cls: 0.1013, s0.acc: 96.1418, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1674, s1.loss_cls: 0.0476, s1.acc: 96.3897, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0798, s2.loss_cls: 0.0246, s2.acc: 96.2065, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0381, loss: 0.8125 2022-09-16 14:31:22,884 - mmdet - INFO - Epoch [35][3200/7330] lr: 1.000e-06, eta: 3:55:17, time: 1.203, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0186, loss_semantic_seg: 0.1274, s0.loss_cls: 0.0920, s0.acc: 96.5454, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1624, s1.loss_cls: 0.0421, s1.acc: 96.8772, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0779, s2.loss_cls: 0.0221, s2.acc: 96.6176, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0372, loss: 0.7673 2022-09-16 14:32:24,303 - mmdet - INFO - Epoch [35][3250/7330] lr: 1.000e-06, eta: 3:54:15, time: 1.228, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1285, s0.loss_cls: 0.0982, s0.acc: 96.2720, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1673, s1.loss_cls: 0.0451, s1.acc: 96.6092, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0807, s2.loss_cls: 0.0238, s2.acc: 96.4101, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0383, loss: 0.7945 2022-09-16 14:33:25,529 - mmdet - INFO - Epoch [35][3300/7330] lr: 1.000e-06, eta: 3:53:14, time: 1.224, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1258, s0.loss_cls: 0.0916, s0.acc: 96.4636, s0.loss_bbox: 0.0546, s0.loss_mask: 0.1633, s1.loss_cls: 0.0414, s1.acc: 96.8328, s1.loss_bbox: 0.0667, s1.loss_mask: 0.0775, s2.loss_cls: 0.0216, s2.acc: 96.6767, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0369, loss: 0.7579 2022-09-16 14:34:27,011 - mmdet - INFO - Epoch [35][3350/7330] lr: 1.000e-06, eta: 3:52:12, time: 1.230, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1271, s0.loss_cls: 0.0999, s0.acc: 96.2114, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1683, s1.loss_cls: 0.0468, s1.acc: 96.4427, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0805, s2.loss_cls: 0.0241, s2.acc: 96.2627, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0384, loss: 0.8003 2022-09-16 14:35:28,696 - mmdet - INFO - Epoch [35][3400/7330] lr: 1.000e-06, eta: 3:51:10, time: 1.234, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1293, s0.loss_cls: 0.0991, s0.acc: 96.1790, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1675, s1.loss_cls: 0.0454, s1.acc: 96.5442, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0804, s2.loss_cls: 0.0231, s2.acc: 96.4616, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0387, loss: 0.7986 2022-09-16 14:36:30,824 - mmdet - INFO - Epoch [35][3450/7330] lr: 1.000e-06, eta: 3:50:09, time: 1.243, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1271, s0.loss_cls: 0.1002, s0.acc: 96.1475, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1656, s1.loss_cls: 0.0459, s1.acc: 96.5131, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0798, s2.loss_cls: 0.0241, s2.acc: 96.2599, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0379, loss: 0.7944 2022-09-16 14:37:32,044 - mmdet - INFO - Epoch [35][3500/7330] lr: 1.000e-06, eta: 3:49:07, time: 1.224, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1350, s0.loss_cls: 0.1042, s0.acc: 96.0601, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1727, s1.loss_cls: 0.0489, s1.acc: 96.2770, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0818, s2.loss_cls: 0.0253, s2.acc: 95.9920, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0388, loss: 0.8262 2022-09-16 14:38:32,641 - mmdet - INFO - Epoch [35][3550/7330] lr: 1.000e-06, eta: 3:48:05, time: 1.212, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1316, s0.loss_cls: 0.0997, s0.acc: 96.1973, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1705, s1.loss_cls: 0.0457, s1.acc: 96.4856, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0812, s2.loss_cls: 0.0238, s2.acc: 96.2963, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0385, loss: 0.8133 2022-09-16 14:39:34,818 - mmdet - INFO - Epoch [35][3600/7330] lr: 1.000e-06, eta: 3:47:04, time: 1.243, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1304, s0.loss_cls: 0.1034, s0.acc: 96.1321, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1682, s1.loss_cls: 0.0480, s1.acc: 96.4088, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0804, s2.loss_cls: 0.0245, s2.acc: 96.2890, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0384, loss: 0.8086 2022-09-16 14:40:35,838 - mmdet - INFO - Epoch [35][3650/7330] lr: 1.000e-06, eta: 3:46:02, time: 1.220, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1367, s0.loss_cls: 0.0995, s0.acc: 96.2083, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1670, s1.loss_cls: 0.0459, s1.acc: 96.5024, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0796, s2.loss_cls: 0.0238, s2.acc: 96.3211, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0381, loss: 0.8060 2022-09-16 14:41:36,659 - mmdet - INFO - Epoch [35][3700/7330] lr: 1.000e-06, eta: 3:45:01, time: 1.216, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1292, s0.loss_cls: 0.0924, s0.acc: 96.5056, s0.loss_bbox: 0.0526, s0.loss_mask: 0.1635, s1.loss_cls: 0.0419, s1.acc: 96.8485, s1.loss_bbox: 0.0662, s1.loss_mask: 0.0786, s2.loss_cls: 0.0218, s2.acc: 96.6571, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0375, loss: 0.7633 2022-09-16 14:42:38,380 - mmdet - INFO - Epoch [35][3750/7330] lr: 1.000e-06, eta: 3:43:59, time: 1.234, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1321, s0.loss_cls: 0.1019, s0.acc: 96.2007, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1707, s1.loss_cls: 0.0470, s1.acc: 96.4901, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0813, s2.loss_cls: 0.0241, s2.acc: 96.3290, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0389, loss: 0.8094 2022-09-16 14:43:39,760 - mmdet - INFO - Epoch [35][3800/7330] lr: 1.000e-06, eta: 3:42:57, time: 1.228, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1355, s0.loss_cls: 0.0989, s0.acc: 96.2004, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1712, s1.loss_cls: 0.0458, s1.acc: 96.4525, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0817, s2.loss_cls: 0.0237, s2.acc: 96.3016, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0392, loss: 0.8104 2022-09-16 14:44:41,261 - mmdet - INFO - Epoch [35][3850/7330] lr: 1.000e-06, eta: 3:41:56, time: 1.230, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1331, s0.loss_cls: 0.1031, s0.acc: 96.1167, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1688, s1.loss_cls: 0.0484, s1.acc: 96.3288, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0802, s2.loss_cls: 0.0249, s2.acc: 96.0841, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0381, loss: 0.8119 2022-09-16 14:45:42,677 - mmdet - INFO - Epoch [35][3900/7330] lr: 1.000e-06, eta: 3:40:54, time: 1.228, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1380, s0.loss_cls: 0.0918, s0.acc: 96.5337, s0.loss_bbox: 0.0551, s0.loss_mask: 0.1676, s1.loss_cls: 0.0415, s1.acc: 96.8780, s1.loss_bbox: 0.0694, s1.loss_mask: 0.0808, s2.loss_cls: 0.0216, s2.acc: 96.6576, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0387, loss: 0.7848 2022-09-16 14:46:44,760 - mmdet - INFO - Epoch [35][3950/7330] lr: 1.000e-06, eta: 3:39:53, time: 1.242, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1346, s0.loss_cls: 0.1033, s0.acc: 96.0657, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1739, s1.loss_cls: 0.0472, s1.acc: 96.3969, s1.loss_bbox: 0.0754, s1.loss_mask: 0.0831, s2.loss_cls: 0.0244, s2.acc: 96.1857, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0396, loss: 0.8310 2022-09-16 14:47:46,627 - mmdet - INFO - Epoch [35][4000/7330] lr: 1.000e-06, eta: 3:38:51, time: 1.237, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1380, s0.loss_cls: 0.1016, s0.acc: 96.1580, s0.loss_bbox: 0.0556, s0.loss_mask: 0.1651, s1.loss_cls: 0.0464, s1.acc: 96.5160, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0793, s2.loss_cls: 0.0242, s2.acc: 96.3657, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0381, loss: 0.8014 2022-09-16 14:48:47,936 - mmdet - INFO - Epoch [35][4050/7330] lr: 1.000e-06, eta: 3:37:49, time: 1.226, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1280, s0.loss_cls: 0.1041, s0.acc: 96.0876, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1706, s1.loss_cls: 0.0483, s1.acc: 96.4078, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0812, s2.loss_cls: 0.0251, s2.acc: 96.2802, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0388, loss: 0.8142 2022-09-16 14:49:48,173 - mmdet - INFO - Epoch [35][4100/7330] lr: 1.000e-06, eta: 3:36:48, time: 1.205, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1369, s0.loss_cls: 0.0980, s0.acc: 96.2468, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1680, s1.loss_cls: 0.0454, s1.acc: 96.5311, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0801, s2.loss_cls: 0.0237, s2.acc: 96.3467, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0382, loss: 0.8047 2022-09-16 14:50:50,019 - mmdet - INFO - Epoch [35][4150/7330] lr: 1.000e-06, eta: 3:35:46, time: 1.237, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0187, loss_semantic_seg: 0.1288, s0.loss_cls: 0.0962, s0.acc: 96.3396, s0.loss_bbox: 0.0558, s0.loss_mask: 0.1647, s1.loss_cls: 0.0449, s1.acc: 96.6031, s1.loss_bbox: 0.0685, s1.loss_mask: 0.0780, s2.loss_cls: 0.0233, s2.acc: 96.4217, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0372, loss: 0.7762 2022-09-16 14:51:51,210 - mmdet - INFO - Epoch [35][4200/7330] lr: 1.000e-06, eta: 3:34:44, time: 1.224, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1323, s0.loss_cls: 0.0971, s0.acc: 96.3157, s0.loss_bbox: 0.0561, s0.loss_mask: 0.1684, s1.loss_cls: 0.0444, s1.acc: 96.6463, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0804, s2.loss_cls: 0.0231, s2.acc: 96.4450, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0385, loss: 0.7942 2022-09-16 14:52:52,564 - mmdet - INFO - Epoch [35][4250/7330] lr: 1.000e-06, eta: 3:33:43, time: 1.227, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1334, s0.loss_cls: 0.1012, s0.acc: 96.1360, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1681, s1.loss_cls: 0.0471, s1.acc: 96.4130, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0799, s2.loss_cls: 0.0245, s2.acc: 96.2407, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0383, loss: 0.8088 2022-09-16 14:53:53,992 - mmdet - INFO - Epoch [35][4300/7330] lr: 1.000e-06, eta: 3:32:41, time: 1.229, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1324, s0.loss_cls: 0.0972, s0.acc: 96.2620, s0.loss_bbox: 0.0551, s0.loss_mask: 0.1652, s1.loss_cls: 0.0448, s1.acc: 96.5446, s1.loss_bbox: 0.0679, s1.loss_mask: 0.0795, s2.loss_cls: 0.0233, s2.acc: 96.3589, s2.loss_bbox: 0.0477, s2.loss_mask: 0.0378, loss: 0.7869 2022-09-16 14:54:55,424 - mmdet - INFO - Epoch [35][4350/7330] lr: 1.000e-06, eta: 3:31:40, time: 1.229, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1275, s0.loss_cls: 0.0993, s0.acc: 96.1831, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1698, s1.loss_cls: 0.0457, s1.acc: 96.5095, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0809, s2.loss_cls: 0.0237, s2.acc: 96.2716, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0387, loss: 0.8031 2022-09-16 14:55:56,719 - mmdet - INFO - Epoch [35][4400/7330] lr: 1.000e-06, eta: 3:30:38, time: 1.226, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1306, s0.loss_cls: 0.1065, s0.acc: 95.8838, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1750, s1.loss_cls: 0.0494, s1.acc: 96.1832, s1.loss_bbox: 0.0777, s1.loss_mask: 0.0835, s2.loss_cls: 0.0256, s2.acc: 95.9819, s2.loss_bbox: 0.0528, s2.loss_mask: 0.0397, loss: 0.8378 2022-09-16 14:56:57,540 - mmdet - INFO - Epoch [35][4450/7330] lr: 1.000e-06, eta: 3:29:36, time: 1.216, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1354, s0.loss_cls: 0.0938, s0.acc: 96.4700, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1606, s1.loss_cls: 0.0436, s1.acc: 96.6931, s1.loss_bbox: 0.0688, s1.loss_mask: 0.0769, s2.loss_cls: 0.0229, s2.acc: 96.4763, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0367, loss: 0.7752 2022-09-16 14:57:57,955 - mmdet - INFO - Epoch [35][4500/7330] lr: 1.000e-06, eta: 3:28:35, time: 1.208, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1311, s0.loss_cls: 0.0974, s0.acc: 96.2588, s0.loss_bbox: 0.0560, s0.loss_mask: 0.1655, s1.loss_cls: 0.0452, s1.acc: 96.5967, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0789, s2.loss_cls: 0.0236, s2.acc: 96.3958, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0377, loss: 0.7857 2022-09-16 14:59:00,423 - mmdet - INFO - Epoch [35][4550/7330] lr: 1.000e-06, eta: 3:27:33, time: 1.249, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1319, s0.loss_cls: 0.1071, s0.acc: 95.8452, s0.loss_bbox: 0.0633, s0.loss_mask: 0.1724, s1.loss_cls: 0.0496, s1.acc: 96.1462, s1.loss_bbox: 0.0767, s1.loss_mask: 0.0820, s2.loss_cls: 0.0257, s2.acc: 95.9708, s2.loss_bbox: 0.0523, s2.loss_mask: 0.0390, loss: 0.8354 2022-09-16 15:00:01,916 - mmdet - INFO - Epoch [35][4600/7330] lr: 1.000e-06, eta: 3:26:31, time: 1.229, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1333, s0.loss_cls: 0.0922, s0.acc: 96.4536, s0.loss_bbox: 0.0535, s0.loss_mask: 0.1582, s1.loss_cls: 0.0423, s1.acc: 96.7866, s1.loss_bbox: 0.0668, s1.loss_mask: 0.0758, s2.loss_cls: 0.0219, s2.acc: 96.6385, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0362, loss: 0.7609 2022-09-16 15:01:03,592 - mmdet - INFO - Epoch [35][4650/7330] lr: 1.000e-06, eta: 3:25:30, time: 1.234, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1321, s0.loss_cls: 0.0990, s0.acc: 96.2026, s0.loss_bbox: 0.0587, s0.loss_mask: 0.1684, s1.loss_cls: 0.0456, s1.acc: 96.5309, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0802, s2.loss_cls: 0.0240, s2.acc: 96.2941, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0385, loss: 0.8042 2022-09-16 15:02:04,504 - mmdet - INFO - Epoch [35][4700/7330] lr: 1.000e-06, eta: 3:24:28, time: 1.218, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1375, s0.loss_cls: 0.0924, s0.acc: 96.4771, s0.loss_bbox: 0.0532, s0.loss_mask: 0.1603, s1.loss_cls: 0.0423, s1.acc: 96.7763, s1.loss_bbox: 0.0651, s1.loss_mask: 0.0760, s2.loss_cls: 0.0221, s2.acc: 96.5531, s2.loss_bbox: 0.0456, s2.loss_mask: 0.0363, loss: 0.7644 2022-09-16 15:03:06,076 - mmdet - INFO - Epoch [35][4750/7330] lr: 1.000e-06, eta: 3:23:27, time: 1.232, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1256, s0.loss_cls: 0.0947, s0.acc: 96.4033, s0.loss_bbox: 0.0544, s0.loss_mask: 0.1644, s1.loss_cls: 0.0435, s1.acc: 96.6831, s1.loss_bbox: 0.0673, s1.loss_mask: 0.0784, s2.loss_cls: 0.0226, s2.acc: 96.4879, s2.loss_bbox: 0.0471, s2.loss_mask: 0.0375, loss: 0.7675 2022-09-16 15:04:07,548 - mmdet - INFO - Epoch [35][4800/7330] lr: 1.000e-06, eta: 3:22:25, time: 1.229, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1365, s0.loss_cls: 0.1028, s0.acc: 96.0913, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1708, s1.loss_cls: 0.0480, s1.acc: 96.3666, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0811, s2.loss_cls: 0.0254, s2.acc: 96.1128, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0389, loss: 0.8241 2022-09-16 15:05:09,972 - mmdet - INFO - Epoch [35][4850/7330] lr: 1.000e-06, eta: 3:21:24, time: 1.248, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0187, loss_semantic_seg: 0.1292, s0.loss_cls: 0.0947, s0.acc: 96.3977, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1630, s1.loss_cls: 0.0437, s1.acc: 96.6765, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0784, s2.loss_cls: 0.0230, s2.acc: 96.4620, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0374, loss: 0.7723 2022-09-16 15:06:11,280 - mmdet - INFO - Epoch [35][4900/7330] lr: 1.000e-06, eta: 3:20:22, time: 1.227, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1264, s0.loss_cls: 0.0975, s0.acc: 96.2629, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1641, s1.loss_cls: 0.0451, s1.acc: 96.5621, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0778, s2.loss_cls: 0.0234, s2.acc: 96.3772, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0371, loss: 0.7811 2022-09-16 15:07:12,131 - mmdet - INFO - Epoch [35][4950/7330] lr: 1.000e-06, eta: 3:19:20, time: 1.217, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1295, s0.loss_cls: 0.1011, s0.acc: 96.1101, s0.loss_bbox: 0.0607, s0.loss_mask: 0.1715, s1.loss_cls: 0.0468, s1.acc: 96.4068, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0816, s2.loss_cls: 0.0244, s2.acc: 96.1725, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0388, loss: 0.8160 2022-09-16 15:08:13,596 - mmdet - INFO - Epoch [35][5000/7330] lr: 1.000e-06, eta: 3:18:19, time: 1.229, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1381, s0.loss_cls: 0.0985, s0.acc: 96.2126, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1690, s1.loss_cls: 0.0462, s1.acc: 96.4728, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0800, s2.loss_cls: 0.0239, s2.acc: 96.2643, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0382, loss: 0.8065 2022-09-16 15:09:15,240 - mmdet - INFO - Epoch [35][5050/7330] lr: 1.000e-06, eta: 3:17:17, time: 1.233, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1305, s0.loss_cls: 0.0985, s0.acc: 96.2510, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1707, s1.loss_cls: 0.0455, s1.acc: 96.5179, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0811, s2.loss_cls: 0.0239, s2.acc: 96.2664, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0386, loss: 0.8061 2022-09-16 15:10:17,027 - mmdet - INFO - Epoch [35][5100/7330] lr: 1.000e-06, eta: 3:16:15, time: 1.236, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1348, s0.loss_cls: 0.0987, s0.acc: 96.1865, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1670, s1.loss_cls: 0.0458, s1.acc: 96.4525, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0792, s2.loss_cls: 0.0237, s2.acc: 96.2904, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0378, loss: 0.8030 2022-09-16 15:11:18,298 - mmdet - INFO - Epoch [35][5150/7330] lr: 1.000e-06, eta: 3:15:14, time: 1.225, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1270, s0.loss_cls: 0.0940, s0.acc: 96.3591, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1653, s1.loss_cls: 0.0433, s1.acc: 96.6756, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0787, s2.loss_cls: 0.0225, s2.acc: 96.4818, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0375, loss: 0.7794 2022-09-16 15:12:19,854 - mmdet - INFO - Epoch [35][5200/7330] lr: 1.000e-06, eta: 3:14:12, time: 1.231, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1300, s0.loss_cls: 0.0960, s0.acc: 96.3899, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1650, s1.loss_cls: 0.0451, s1.acc: 96.5685, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0792, s2.loss_cls: 0.0234, s2.acc: 96.4407, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0378, loss: 0.7868 2022-09-16 15:13:20,238 - mmdet - INFO - Epoch [35][5250/7330] lr: 1.000e-06, eta: 3:13:11, time: 1.208, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1307, s0.loss_cls: 0.1039, s0.acc: 95.9946, s0.loss_bbox: 0.0614, s0.loss_mask: 0.1670, s1.loss_cls: 0.0486, s1.acc: 96.2918, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0799, s2.loss_cls: 0.0251, s2.acc: 96.1127, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0382, loss: 0.8174 2022-09-16 15:14:22,304 - mmdet - INFO - Epoch [35][5300/7330] lr: 1.000e-06, eta: 3:12:09, time: 1.241, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1327, s0.loss_cls: 0.1009, s0.acc: 96.1655, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1684, s1.loss_cls: 0.0465, s1.acc: 96.4668, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0805, s2.loss_cls: 0.0240, s2.acc: 96.2910, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0382, loss: 0.8103 2022-09-16 15:15:23,781 - mmdet - INFO - Epoch [35][5350/7330] lr: 1.000e-06, eta: 3:11:07, time: 1.229, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1266, s0.loss_cls: 0.0988, s0.acc: 96.1865, s0.loss_bbox: 0.0574, s0.loss_mask: 0.1673, s1.loss_cls: 0.0459, s1.acc: 96.4728, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0793, s2.loss_cls: 0.0239, s2.acc: 96.2228, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0376, loss: 0.7887 2022-09-16 15:16:25,927 - mmdet - INFO - Epoch [35][5400/7330] lr: 1.000e-06, eta: 3:10:06, time: 1.243, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1356, s0.loss_cls: 0.1009, s0.acc: 96.0869, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1688, s1.loss_cls: 0.0474, s1.acc: 96.3559, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0805, s2.loss_cls: 0.0247, s2.acc: 96.1443, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0386, loss: 0.8178 2022-09-16 15:17:26,991 - mmdet - INFO - Epoch [35][5450/7330] lr: 1.000e-06, eta: 3:09:04, time: 1.221, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1346, s0.loss_cls: 0.0923, s0.acc: 96.4778, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1617, s1.loss_cls: 0.0421, s1.acc: 96.8126, s1.loss_bbox: 0.0668, s1.loss_mask: 0.0770, s2.loss_cls: 0.0220, s2.acc: 96.5397, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0368, loss: 0.7680 2022-09-16 15:18:28,521 - mmdet - INFO - Epoch [35][5500/7330] lr: 1.000e-06, eta: 3:08:03, time: 1.231, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0216, loss_semantic_seg: 0.1284, s0.loss_cls: 0.0983, s0.acc: 96.2593, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1685, s1.loss_cls: 0.0451, s1.acc: 96.5578, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0801, s2.loss_cls: 0.0235, s2.acc: 96.3594, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0379, loss: 0.7919 2022-09-16 15:19:30,074 - mmdet - INFO - Epoch [35][5550/7330] lr: 1.000e-06, eta: 3:07:01, time: 1.231, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1375, s0.loss_cls: 0.0916, s0.acc: 96.4932, s0.loss_bbox: 0.0569, s0.loss_mask: 0.1661, s1.loss_cls: 0.0419, s1.acc: 96.7354, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0795, s2.loss_cls: 0.0219, s2.acc: 96.5627, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0380, loss: 0.7825 2022-09-16 15:20:32,241 - mmdet - INFO - Epoch [35][5600/7330] lr: 1.000e-06, eta: 3:06:00, time: 1.243, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1245, s0.loss_cls: 0.0967, s0.acc: 96.2754, s0.loss_bbox: 0.0569, s0.loss_mask: 0.1637, s1.loss_cls: 0.0446, s1.acc: 96.5705, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0787, s2.loss_cls: 0.0235, s2.acc: 96.3038, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0377, loss: 0.7807 2022-09-16 15:21:33,713 - mmdet - INFO - Epoch [35][5650/7330] lr: 1.000e-06, eta: 3:04:58, time: 1.230, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1035, s0.acc: 96.1001, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1658, s1.loss_cls: 0.0472, s1.acc: 96.4498, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0793, s2.loss_cls: 0.0245, s2.acc: 96.3249, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0379, loss: 0.8119 2022-09-16 15:22:35,026 - mmdet - INFO - Epoch [35][5700/7330] lr: 1.000e-06, eta: 3:03:56, time: 1.226, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1356, s0.loss_cls: 0.0928, s0.acc: 96.4871, s0.loss_bbox: 0.0543, s0.loss_mask: 0.1661, s1.loss_cls: 0.0425, s1.acc: 96.7641, s1.loss_bbox: 0.0694, s1.loss_mask: 0.0798, s2.loss_cls: 0.0223, s2.acc: 96.6231, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0381, loss: 0.7815 2022-09-16 15:23:35,872 - mmdet - INFO - Epoch [35][5750/7330] lr: 1.000e-06, eta: 3:02:55, time: 1.217, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1357, s0.loss_cls: 0.0982, s0.acc: 96.1738, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1691, s1.loss_cls: 0.0460, s1.acc: 96.4171, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0807, s2.loss_cls: 0.0237, s2.acc: 96.2088, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0386, loss: 0.8062 2022-09-16 15:24:37,040 - mmdet - INFO - Epoch [35][5800/7330] lr: 1.000e-06, eta: 3:01:53, time: 1.223, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1319, s0.loss_cls: 0.0942, s0.acc: 96.4241, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1690, s1.loss_cls: 0.0426, s1.acc: 96.7657, s1.loss_bbox: 0.0687, s1.loss_mask: 0.0807, s2.loss_cls: 0.0221, s2.acc: 96.5800, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0388, loss: 0.7836 2022-09-16 15:25:37,748 - mmdet - INFO - Epoch [35][5850/7330] lr: 1.000e-06, eta: 3:00:51, time: 1.214, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0214, loss_semantic_seg: 0.1348, s0.loss_cls: 0.0967, s0.acc: 96.2974, s0.loss_bbox: 0.0552, s0.loss_mask: 0.1630, s1.loss_cls: 0.0450, s1.acc: 96.5700, s1.loss_bbox: 0.0684, s1.loss_mask: 0.0777, s2.loss_cls: 0.0233, s2.acc: 96.3932, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0373, loss: 0.7844 2022-09-16 15:26:38,247 - mmdet - INFO - Epoch [35][5900/7330] lr: 1.000e-06, eta: 2:59:50, time: 1.210, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1357, s0.loss_cls: 0.0970, s0.acc: 96.3562, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1702, s1.loss_cls: 0.0447, s1.acc: 96.6154, s1.loss_bbox: 0.0680, s1.loss_mask: 0.0801, s2.loss_cls: 0.0228, s2.acc: 96.4469, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0383, loss: 0.7943 2022-09-16 15:27:40,495 - mmdet - INFO - Epoch [35][5950/7330] lr: 1.000e-06, eta: 2:58:48, time: 1.244, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1316, s0.loss_cls: 0.0969, s0.acc: 96.2246, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1659, s1.loss_cls: 0.0444, s1.acc: 96.5721, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0794, s2.loss_cls: 0.0232, s2.acc: 96.4072, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0381, loss: 0.7950 2022-09-16 15:28:41,732 - mmdet - INFO - Epoch [35][6000/7330] lr: 1.000e-06, eta: 2:57:46, time: 1.225, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1355, s0.loss_cls: 0.0940, s0.acc: 96.4189, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1666, s1.loss_cls: 0.0426, s1.acc: 96.8047, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0796, s2.loss_cls: 0.0226, s2.acc: 96.5767, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0378, loss: 0.7881 2022-09-16 15:29:43,333 - mmdet - INFO - Epoch [35][6050/7330] lr: 1.000e-06, eta: 2:56:45, time: 1.232, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1394, s0.loss_cls: 0.0995, s0.acc: 96.2388, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1662, s1.loss_cls: 0.0461, s1.acc: 96.5550, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0791, s2.loss_cls: 0.0243, s2.acc: 96.2824, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0378, loss: 0.8035 2022-09-16 15:30:45,076 - mmdet - INFO - Epoch [35][6100/7330] lr: 1.000e-06, eta: 2:55:43, time: 1.235, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1282, s0.loss_cls: 0.1036, s0.acc: 96.0569, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1721, s1.loss_cls: 0.0481, s1.acc: 96.3729, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0817, s2.loss_cls: 0.0255, s2.acc: 96.0342, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0389, loss: 0.8211 2022-09-16 15:31:47,698 - mmdet - INFO - Epoch [35][6150/7330] lr: 1.000e-06, eta: 2:54:42, time: 1.253, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1356, s0.loss_cls: 0.1019, s0.acc: 96.0852, s0.loss_bbox: 0.0613, s0.loss_mask: 0.1706, s1.loss_cls: 0.0471, s1.acc: 96.3727, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0809, s2.loss_cls: 0.0244, s2.acc: 96.2162, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0382, loss: 0.8193 2022-09-16 15:32:48,603 - mmdet - INFO - Epoch [35][6200/7330] lr: 1.000e-06, eta: 2:53:40, time: 1.218, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0225, loss_semantic_seg: 0.1312, s0.loss_cls: 0.0997, s0.acc: 96.1726, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1700, s1.loss_cls: 0.0460, s1.acc: 96.4526, s1.loss_bbox: 0.0724, s1.loss_mask: 0.0808, s2.loss_cls: 0.0239, s2.acc: 96.2694, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0387, loss: 0.8094 2022-09-16 15:33:49,207 - mmdet - INFO - Epoch [35][6250/7330] lr: 1.000e-06, eta: 2:52:38, time: 1.211, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1334, s0.loss_cls: 0.0999, s0.acc: 96.2478, s0.loss_bbox: 0.0561, s0.loss_mask: 0.1683, s1.loss_cls: 0.0455, s1.acc: 96.5752, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0803, s2.loss_cls: 0.0237, s2.acc: 96.3653, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0385, loss: 0.7973 2022-09-16 15:34:51,167 - mmdet - INFO - Epoch [35][6300/7330] lr: 1.000e-06, eta: 2:51:37, time: 1.240, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1330, s0.loss_cls: 0.0928, s0.acc: 96.5215, s0.loss_bbox: 0.0544, s0.loss_mask: 0.1623, s1.loss_cls: 0.0425, s1.acc: 96.7874, s1.loss_bbox: 0.0668, s1.loss_mask: 0.0778, s2.loss_cls: 0.0217, s2.acc: 96.6053, s2.loss_bbox: 0.0470, s2.loss_mask: 0.0372, loss: 0.7676 2022-09-16 15:35:51,963 - mmdet - INFO - Epoch [35][6350/7330] lr: 1.000e-06, eta: 2:50:35, time: 1.216, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0186, loss_semantic_seg: 0.1317, s0.loss_cls: 0.0963, s0.acc: 96.3284, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1700, s1.loss_cls: 0.0441, s1.acc: 96.6788, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0812, s2.loss_cls: 0.0231, s2.acc: 96.4157, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0385, loss: 0.7938 2022-09-16 15:36:52,675 - mmdet - INFO - Epoch [35][6400/7330] lr: 1.000e-06, eta: 2:49:34, time: 1.214, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1306, s0.loss_cls: 0.0949, s0.acc: 96.3716, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1706, s1.loss_cls: 0.0438, s1.acc: 96.6822, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0813, s2.loss_cls: 0.0227, s2.acc: 96.4802, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0389, loss: 0.7950 2022-09-16 15:37:53,776 - mmdet - INFO - Epoch [35][6450/7330] lr: 1.000e-06, eta: 2:48:32, time: 1.222, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1348, s0.loss_cls: 0.1007, s0.acc: 96.1729, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1734, s1.loss_cls: 0.0455, s1.acc: 96.5508, s1.loss_bbox: 0.0762, s1.loss_mask: 0.0829, s2.loss_cls: 0.0243, s2.acc: 96.2332, s2.loss_bbox: 0.0532, s2.loss_mask: 0.0395, loss: 0.8251 2022-09-16 15:38:54,650 - mmdet - INFO - Epoch [35][6500/7330] lr: 1.000e-06, eta: 2:47:30, time: 1.218, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0188, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0960, s0.acc: 96.2925, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1646, s1.loss_cls: 0.0440, s1.acc: 96.6156, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0786, s2.loss_cls: 0.0232, s2.acc: 96.3335, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0374, loss: 0.7838 2022-09-16 15:39:56,154 - mmdet - INFO - Epoch [35][6550/7330] lr: 1.000e-06, eta: 2:46:29, time: 1.230, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1352, s0.loss_cls: 0.1006, s0.acc: 96.1724, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1669, s1.loss_cls: 0.0464, s1.acc: 96.5064, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0791, s2.loss_cls: 0.0242, s2.acc: 96.3364, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0380, loss: 0.8042 2022-09-16 15:40:57,719 - mmdet - INFO - Epoch [35][6600/7330] lr: 1.000e-06, eta: 2:45:27, time: 1.231, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1383, s0.loss_cls: 0.0969, s0.acc: 96.3523, s0.loss_bbox: 0.0556, s0.loss_mask: 0.1666, s1.loss_cls: 0.0447, s1.acc: 96.6862, s1.loss_bbox: 0.0686, s1.loss_mask: 0.0798, s2.loss_cls: 0.0231, s2.acc: 96.4517, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0382, loss: 0.7949 2022-09-16 15:41:59,306 - mmdet - INFO - Epoch [35][6650/7330] lr: 1.000e-06, eta: 2:44:25, time: 1.232, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1319, s0.loss_cls: 0.0959, s0.acc: 96.3162, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1632, s1.loss_cls: 0.0431, s1.acc: 96.7366, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0784, s2.loss_cls: 0.0226, s2.acc: 96.4875, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0375, loss: 0.7801 2022-09-16 15:43:01,329 - mmdet - INFO - Epoch [35][6700/7330] lr: 1.000e-06, eta: 2:43:24, time: 1.241, data_time: 0.015, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1354, s0.loss_cls: 0.1034, s0.acc: 96.0884, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1724, s1.loss_cls: 0.0474, s1.acc: 96.3477, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0826, s2.loss_cls: 0.0248, s2.acc: 96.1673, s2.loss_bbox: 0.0521, s2.loss_mask: 0.0392, loss: 0.8239 2022-09-16 15:44:02,501 - mmdet - INFO - Epoch [35][6750/7330] lr: 1.000e-06, eta: 2:42:22, time: 1.223, data_time: 0.036, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1280, s0.loss_cls: 0.0966, s0.acc: 96.3379, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1662, s1.loss_cls: 0.0448, s1.acc: 96.6146, s1.loss_bbox: 0.0685, s1.loss_mask: 0.0796, s2.loss_cls: 0.0234, s2.acc: 96.4241, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0378, loss: 0.7799 2022-09-16 15:45:04,304 - mmdet - INFO - Epoch [35][6800/7330] lr: 1.000e-06, eta: 2:41:21, time: 1.236, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1269, s0.loss_cls: 0.0981, s0.acc: 96.2632, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1673, s1.loss_cls: 0.0453, s1.acc: 96.5456, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0796, s2.loss_cls: 0.0237, s2.acc: 96.3215, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0383, loss: 0.7977 2022-09-16 15:46:06,482 - mmdet - INFO - Epoch [35][6850/7330] lr: 1.000e-06, eta: 2:40:19, time: 1.243, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1341, s0.loss_cls: 0.1021, s0.acc: 96.0779, s0.loss_bbox: 0.0598, s0.loss_mask: 0.1726, s1.loss_cls: 0.0468, s1.acc: 96.3924, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0820, s2.loss_cls: 0.0245, s2.acc: 96.1501, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0392, loss: 0.8200 2022-09-16 15:47:07,918 - mmdet - INFO - Epoch [35][6900/7330] lr: 1.000e-06, eta: 2:39:18, time: 1.229, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0181, loss_semantic_seg: 0.1328, s0.loss_cls: 0.0910, s0.acc: 96.5669, s0.loss_bbox: 0.0554, s0.loss_mask: 0.1638, s1.loss_cls: 0.0414, s1.acc: 96.9316, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0783, s2.loss_cls: 0.0215, s2.acc: 96.6956, s2.loss_bbox: 0.0503, s2.loss_mask: 0.0374, loss: 0.7736 2022-09-16 15:48:09,112 - mmdet - INFO - Epoch [35][6950/7330] lr: 1.000e-06, eta: 2:38:16, time: 1.224, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0108, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1312, s0.loss_cls: 0.0994, s0.acc: 96.1936, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1707, s1.loss_cls: 0.0466, s1.acc: 96.4845, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0807, s2.loss_cls: 0.0241, s2.acc: 96.2769, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0385, loss: 0.8063 2022-09-16 15:49:10,472 - mmdet - INFO - Epoch [35][7000/7330] lr: 1.000e-06, eta: 2:37:14, time: 1.227, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1318, s0.loss_cls: 0.0971, s0.acc: 96.2739, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1651, s1.loss_cls: 0.0446, s1.acc: 96.5492, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0787, s2.loss_cls: 0.0232, s2.acc: 96.3728, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0378, loss: 0.7867 2022-09-16 15:50:12,291 - mmdet - INFO - Epoch [35][7050/7330] lr: 1.000e-06, eta: 2:36:13, time: 1.236, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1044, s0.acc: 96.0500, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1666, s1.loss_cls: 0.0481, s1.acc: 96.3833, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0794, s2.loss_cls: 0.0249, s2.acc: 96.1947, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0378, loss: 0.8199 2022-09-16 15:51:13,132 - mmdet - INFO - Epoch [35][7100/7330] lr: 1.000e-06, eta: 2:35:11, time: 1.216, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1293, s0.loss_cls: 0.0958, s0.acc: 96.4006, s0.loss_bbox: 0.0552, s0.loss_mask: 0.1636, s1.loss_cls: 0.0436, s1.acc: 96.7763, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0786, s2.loss_cls: 0.0224, s2.acc: 96.5761, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0375, loss: 0.7785 2022-09-16 15:52:14,101 - mmdet - INFO - Epoch [35][7150/7330] lr: 1.000e-06, eta: 2:34:10, time: 1.220, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0182, loss_semantic_seg: 0.1333, s0.loss_cls: 0.0972, s0.acc: 96.2310, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1686, s1.loss_cls: 0.0448, s1.acc: 96.5905, s1.loss_bbox: 0.0719, s1.loss_mask: 0.0810, s2.loss_cls: 0.0232, s2.acc: 96.3159, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0384, loss: 0.7977 2022-09-16 15:53:13,605 - mmdet - INFO - Epoch [35][7200/7330] lr: 1.000e-06, eta: 2:33:08, time: 1.190, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0184, loss_semantic_seg: 0.1268, s0.loss_cls: 0.0890, s0.acc: 96.5889, s0.loss_bbox: 0.0541, s0.loss_mask: 0.1646, s1.loss_cls: 0.0407, s1.acc: 96.8546, s1.loss_bbox: 0.0660, s1.loss_mask: 0.0792, s2.loss_cls: 0.0210, s2.acc: 96.7422, s2.loss_bbox: 0.0468, s2.loss_mask: 0.0380, loss: 0.7573 2022-09-16 15:54:15,693 - mmdet - INFO - Epoch [35][7250/7330] lr: 1.000e-06, eta: 2:32:06, time: 1.242, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1255, s0.loss_cls: 0.0924, s0.acc: 96.5342, s0.loss_bbox: 0.0534, s0.loss_mask: 0.1647, s1.loss_cls: 0.0425, s1.acc: 96.8285, s1.loss_bbox: 0.0682, s1.loss_mask: 0.0786, s2.loss_cls: 0.0222, s2.acc: 96.6440, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0378, loss: 0.7673 2022-09-16 15:55:16,746 - mmdet - INFO - Epoch [35][7300/7330] lr: 1.000e-06, eta: 2:31:05, time: 1.221, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1314, s0.loss_cls: 0.0939, s0.acc: 96.4275, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1653, s1.loss_cls: 0.0431, s1.acc: 96.7203, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0790, s2.loss_cls: 0.0225, s2.acc: 96.5355, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0377, loss: 0.7791 2022-09-16 15:56:03,459 - mmdet - INFO - Saving checkpoint at 35 epochs 2022-09-16 15:59:19,171 - mmdet - INFO - Evaluating bbox... 2022-09-16 16:00:01,531 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.587 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.773 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.646 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.451 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.622 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.728 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.622 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.782 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.870 2022-09-16 16:00:01,532 - mmdet - INFO - Evaluating segm... 2022-09-16 16:00:46,519 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.511 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.752 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.560 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.338 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.542 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.695 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.682 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.788 2022-09-16 16:00:47,386 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 16:00:47,386 - mmdet - INFO - Epoch(val) [35][313] bbox_mAP: 0.5870, bbox_mAP_50: 0.7730, bbox_mAP_75: 0.6460, bbox_mAP_s: 0.4510, bbox_mAP_m: 0.6220, bbox_mAP_l: 0.7280, bbox_mAP_copypaste: 0.587 0.773 0.646 0.451 0.622 0.728, segm_mAP: 0.5110, segm_mAP_50: 0.7520, segm_mAP_75: 0.5600, segm_mAP_s: 0.3380, segm_mAP_m: 0.5420, segm_mAP_l: 0.6950, segm_mAP_copypaste: 0.511 0.752 0.560 0.338 0.542 0.695 2022-09-16 16:03:45,846 - mmdet - INFO - Epoch [36][50/7330] lr: 1.000e-06, eta: 2:29:33, time: 3.568, data_time: 2.334, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0188, loss_semantic_seg: 0.1413, s0.loss_cls: 0.0935, s0.acc: 96.4558, s0.loss_bbox: 0.0532, s0.loss_mask: 0.1563, s1.loss_cls: 0.0433, s1.acc: 96.7453, s1.loss_bbox: 0.0664, s1.loss_mask: 0.0748, s2.loss_cls: 0.0225, s2.acc: 96.6075, s2.loss_bbox: 0.0464, s2.loss_mask: 0.0358, loss: 0.7651 2022-09-16 16:04:48,461 - mmdet - INFO - Epoch [36][100/7330] lr: 1.000e-06, eta: 2:28:32, time: 1.252, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0981, s0.acc: 96.2402, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1624, s1.loss_cls: 0.0458, s1.acc: 96.5421, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0776, s2.loss_cls: 0.0235, s2.acc: 96.3690, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0371, loss: 0.7885 2022-09-16 16:05:50,233 - mmdet - INFO - Epoch [36][150/7330] lr: 1.000e-06, eta: 2:27:30, time: 1.235, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1283, s0.loss_cls: 0.1014, s0.acc: 96.1284, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1684, s1.loss_cls: 0.0477, s1.acc: 96.3565, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0801, s2.loss_cls: 0.0247, s2.acc: 96.0948, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0380, loss: 0.8067 2022-09-16 16:06:51,753 - mmdet - INFO - Epoch [36][200/7330] lr: 1.000e-06, eta: 2:26:28, time: 1.230, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1291, s0.loss_cls: 0.0923, s0.acc: 96.4775, s0.loss_bbox: 0.0536, s0.loss_mask: 0.1670, s1.loss_cls: 0.0428, s1.acc: 96.7673, s1.loss_bbox: 0.0664, s1.loss_mask: 0.0792, s2.loss_cls: 0.0221, s2.acc: 96.6273, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0380, loss: 0.7711 2022-09-16 16:07:53,131 - mmdet - INFO - Epoch [36][250/7330] lr: 1.000e-06, eta: 2:25:27, time: 1.228, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1301, s0.loss_cls: 0.1001, s0.acc: 96.1594, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1681, s1.loss_cls: 0.0462, s1.acc: 96.5061, s1.loss_bbox: 0.0734, s1.loss_mask: 0.0799, s2.loss_cls: 0.0240, s2.acc: 96.3052, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0380, loss: 0.8038 2022-09-16 16:08:53,650 - mmdet - INFO - Epoch [36][300/7330] lr: 1.000e-06, eta: 2:24:25, time: 1.210, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0188, loss_semantic_seg: 0.1284, s0.loss_cls: 0.0968, s0.acc: 96.2866, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1708, s1.loss_cls: 0.0447, s1.acc: 96.5723, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0816, s2.loss_cls: 0.0234, s2.acc: 96.3215, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0390, loss: 0.7938 2022-09-16 16:09:54,649 - mmdet - INFO - Epoch [36][350/7330] lr: 1.000e-06, eta: 2:23:23, time: 1.220, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1274, s0.loss_cls: 0.0993, s0.acc: 96.1816, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1668, s1.loss_cls: 0.0464, s1.acc: 96.4348, s1.loss_bbox: 0.0737, s1.loss_mask: 0.0802, s2.loss_cls: 0.0243, s2.acc: 96.2300, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0381, loss: 0.8007 2022-09-16 16:10:55,290 - mmdet - INFO - Epoch [36][400/7330] lr: 1.000e-06, eta: 2:22:22, time: 1.214, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1331, s0.loss_cls: 0.1014, s0.acc: 95.9944, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1681, s1.loss_cls: 0.0468, s1.acc: 96.3233, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0800, s2.loss_cls: 0.0242, s2.acc: 96.2142, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0383, loss: 0.8079 2022-09-16 16:11:56,691 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 16:11:56,692 - mmdet - INFO - Epoch [36][450/7330] lr: 1.000e-06, eta: 2:21:20, time: 1.228, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0182, loss_semantic_seg: 0.1301, s0.loss_cls: 0.0922, s0.acc: 96.4929, s0.loss_bbox: 0.0524, s0.loss_mask: 0.1678, s1.loss_cls: 0.0429, s1.acc: 96.7845, s1.loss_bbox: 0.0666, s1.loss_mask: 0.0808, s2.loss_cls: 0.0220, s2.acc: 96.6592, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0388, loss: 0.7719 2022-09-16 16:12:57,933 - mmdet - INFO - Epoch [36][500/7330] lr: 1.000e-06, eta: 2:20:18, time: 1.225, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1329, s0.loss_cls: 0.1021, s0.acc: 96.1235, s0.loss_bbox: 0.0599, s0.loss_mask: 0.1688, s1.loss_cls: 0.0467, s1.acc: 96.4737, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0806, s2.loss_cls: 0.0242, s2.acc: 96.3262, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0382, loss: 0.8115 2022-09-16 16:14:00,101 - mmdet - INFO - Epoch [36][550/7330] lr: 1.000e-06, eta: 2:19:17, time: 1.242, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1383, s0.loss_cls: 0.0995, s0.acc: 96.2280, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1718, s1.loss_cls: 0.0462, s1.acc: 96.4218, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0814, s2.loss_cls: 0.0241, s2.acc: 96.2198, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0387, loss: 0.8128 2022-09-16 16:15:01,637 - mmdet - INFO - Epoch [36][600/7330] lr: 1.000e-06, eta: 2:18:15, time: 1.232, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1290, s0.loss_cls: 0.0983, s0.acc: 96.2600, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1679, s1.loss_cls: 0.0447, s1.acc: 96.5822, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0800, s2.loss_cls: 0.0233, s2.acc: 96.2983, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0382, loss: 0.7906 2022-09-16 16:16:04,630 - mmdet - INFO - Epoch [36][650/7330] lr: 1.000e-06, eta: 2:17:14, time: 1.260, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1329, s0.loss_cls: 0.0995, s0.acc: 96.2061, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1703, s1.loss_cls: 0.0464, s1.acc: 96.4870, s1.loss_bbox: 0.0704, s1.loss_mask: 0.0808, s2.loss_cls: 0.0241, s2.acc: 96.3061, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0386, loss: 0.8037 2022-09-16 16:17:05,493 - mmdet - INFO - Epoch [36][700/7330] lr: 1.000e-06, eta: 2:16:12, time: 1.217, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1282, s0.loss_cls: 0.0927, s0.acc: 96.4346, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1582, s1.loss_cls: 0.0421, s1.acc: 96.7635, s1.loss_bbox: 0.0677, s1.loss_mask: 0.0755, s2.loss_cls: 0.0220, s2.acc: 96.5293, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0359, loss: 0.7574 2022-09-16 16:18:05,923 - mmdet - INFO - Epoch [36][750/7330] lr: 1.000e-06, eta: 2:15:10, time: 1.209, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1317, s0.loss_cls: 0.0973, s0.acc: 96.3152, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1673, s1.loss_cls: 0.0454, s1.acc: 96.6130, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0802, s2.loss_cls: 0.0233, s2.acc: 96.4400, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0382, loss: 0.7908 2022-09-16 16:19:07,415 - mmdet - INFO - Epoch [36][800/7330] lr: 1.000e-06, eta: 2:14:09, time: 1.230, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1299, s0.loss_cls: 0.0974, s0.acc: 96.2537, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1689, s1.loss_cls: 0.0443, s1.acc: 96.6093, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0807, s2.loss_cls: 0.0231, s2.acc: 96.4502, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0387, loss: 0.7938 2022-09-16 16:20:08,959 - mmdet - INFO - Epoch [36][850/7330] lr: 1.000e-06, eta: 2:13:07, time: 1.231, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1298, s0.loss_cls: 0.1022, s0.acc: 96.1372, s0.loss_bbox: 0.0601, s0.loss_mask: 0.1718, s1.loss_cls: 0.0474, s1.acc: 96.4322, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0816, s2.loss_cls: 0.0246, s2.acc: 96.1605, s2.loss_bbox: 0.0510, s2.loss_mask: 0.0388, loss: 0.8160 2022-09-16 16:21:10,365 - mmdet - INFO - Epoch [36][900/7330] lr: 1.000e-06, eta: 2:12:05, time: 1.228, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0111, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1328, s0.loss_cls: 0.0935, s0.acc: 96.4363, s0.loss_bbox: 0.0544, s0.loss_mask: 0.1677, s1.loss_cls: 0.0431, s1.acc: 96.6894, s1.loss_bbox: 0.0687, s1.loss_mask: 0.0800, s2.loss_cls: 0.0225, s2.acc: 96.5059, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0378, loss: 0.7805 2022-09-16 16:22:10,999 - mmdet - INFO - Epoch [36][950/7330] lr: 1.000e-06, eta: 2:11:04, time: 1.213, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1315, s0.loss_cls: 0.0975, s0.acc: 96.2939, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1640, s1.loss_cls: 0.0454, s1.acc: 96.5853, s1.loss_bbox: 0.0689, s1.loss_mask: 0.0783, s2.loss_cls: 0.0234, s2.acc: 96.4278, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0371, loss: 0.7844 2022-09-16 16:23:11,790 - mmdet - INFO - Epoch [36][1000/7330] lr: 1.000e-06, eta: 2:10:02, time: 1.216, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1300, s0.loss_cls: 0.0970, s0.acc: 96.3074, s0.loss_bbox: 0.0560, s0.loss_mask: 0.1690, s1.loss_cls: 0.0443, s1.acc: 96.5944, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0803, s2.loss_cls: 0.0227, s2.acc: 96.4446, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0385, loss: 0.7881 2022-09-16 16:24:13,450 - mmdet - INFO - Epoch [36][1050/7330] lr: 1.000e-06, eta: 2:09:00, time: 1.233, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1342, s0.loss_cls: 0.0947, s0.acc: 96.4153, s0.loss_bbox: 0.0543, s0.loss_mask: 0.1621, s1.loss_cls: 0.0433, s1.acc: 96.7397, s1.loss_bbox: 0.0703, s1.loss_mask: 0.0777, s2.loss_cls: 0.0228, s2.acc: 96.4782, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0370, loss: 0.7757 2022-09-16 16:25:13,897 - mmdet - INFO - Epoch [36][1100/7330] lr: 1.000e-06, eta: 2:07:58, time: 1.209, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1313, s0.loss_cls: 0.0945, s0.acc: 96.4302, s0.loss_bbox: 0.0554, s0.loss_mask: 0.1611, s1.loss_cls: 0.0438, s1.acc: 96.7480, s1.loss_bbox: 0.0682, s1.loss_mask: 0.0773, s2.loss_cls: 0.0227, s2.acc: 96.4824, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0369, loss: 0.7714 2022-09-16 16:26:15,562 - mmdet - INFO - Epoch [36][1150/7330] lr: 1.000e-06, eta: 2:06:57, time: 1.233, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1342, s0.loss_cls: 0.0976, s0.acc: 96.3008, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1675, s1.loss_cls: 0.0455, s1.acc: 96.5506, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0793, s2.loss_cls: 0.0231, s2.acc: 96.4739, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0378, loss: 0.7939 2022-09-16 16:27:16,676 - mmdet - INFO - Epoch [36][1200/7330] lr: 1.000e-06, eta: 2:05:55, time: 1.222, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1291, s0.loss_cls: 0.0992, s0.acc: 96.2246, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1693, s1.loss_cls: 0.0456, s1.acc: 96.4868, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0810, s2.loss_cls: 0.0236, s2.acc: 96.3708, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0385, loss: 0.8004 2022-09-16 16:28:17,548 - mmdet - INFO - Epoch [36][1250/7330] lr: 1.000e-06, eta: 2:04:54, time: 1.217, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1280, s0.loss_cls: 0.1022, s0.acc: 96.1187, s0.loss_bbox: 0.0618, s0.loss_mask: 0.1700, s1.loss_cls: 0.0472, s1.acc: 96.3843, s1.loss_bbox: 0.0759, s1.loss_mask: 0.0809, s2.loss_cls: 0.0243, s2.acc: 96.1886, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0385, loss: 0.8155 2022-09-16 16:29:19,071 - mmdet - INFO - Epoch [36][1300/7330] lr: 1.000e-06, eta: 2:03:52, time: 1.231, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0211, loss_semantic_seg: 0.1336, s0.loss_cls: 0.1029, s0.acc: 96.1436, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1694, s1.loss_cls: 0.0484, s1.acc: 96.3825, s1.loss_bbox: 0.0728, s1.loss_mask: 0.0802, s2.loss_cls: 0.0249, s2.acc: 96.1913, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0382, loss: 0.8161 2022-09-16 16:30:20,215 - mmdet - INFO - Epoch [36][1350/7330] lr: 1.000e-06, eta: 2:02:50, time: 1.223, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1343, s0.loss_cls: 0.0973, s0.acc: 96.3047, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1666, s1.loss_cls: 0.0443, s1.acc: 96.5845, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0794, s2.loss_cls: 0.0230, s2.acc: 96.4621, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0380, loss: 0.7926 2022-09-16 16:31:21,716 - mmdet - INFO - Epoch [36][1400/7330] lr: 1.000e-06, eta: 2:01:49, time: 1.230, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1306, s0.loss_cls: 0.1019, s0.acc: 96.0671, s0.loss_bbox: 0.0580, s0.loss_mask: 0.1710, s1.loss_cls: 0.0466, s1.acc: 96.4578, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0819, s2.loss_cls: 0.0243, s2.acc: 96.3175, s2.loss_bbox: 0.0509, s2.loss_mask: 0.0390, loss: 0.8121 2022-09-16 16:32:22,771 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 16:32:22,771 - mmdet - INFO - Epoch [36][1450/7330] lr: 1.000e-06, eta: 2:00:47, time: 1.221, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1332, s0.loss_cls: 0.0983, s0.acc: 96.2676, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1674, s1.loss_cls: 0.0452, s1.acc: 96.5733, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0799, s2.loss_cls: 0.0236, s2.acc: 96.3185, s2.loss_bbox: 0.0481, s2.loss_mask: 0.0381, loss: 0.7916 2022-09-16 16:33:23,505 - mmdet - INFO - Epoch [36][1500/7330] lr: 1.000e-06, eta: 1:59:45, time: 1.215, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1283, s0.loss_cls: 0.0957, s0.acc: 96.3464, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1691, s1.loss_cls: 0.0441, s1.acc: 96.6167, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0802, s2.loss_cls: 0.0233, s2.acc: 96.3841, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0378, loss: 0.7923 2022-09-16 16:34:24,559 - mmdet - INFO - Epoch [36][1550/7330] lr: 1.000e-06, eta: 1:58:44, time: 1.221, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1349, s0.loss_cls: 0.1006, s0.acc: 96.1096, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1710, s1.loss_cls: 0.0471, s1.acc: 96.2932, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0817, s2.loss_cls: 0.0247, s2.acc: 96.0969, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0388, loss: 0.8110 2022-09-16 16:35:25,916 - mmdet - INFO - Epoch [36][1600/7330] lr: 1.000e-06, eta: 1:57:42, time: 1.227, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1336, s0.loss_cls: 0.0988, s0.acc: 96.2646, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1743, s1.loss_cls: 0.0461, s1.acc: 96.5246, s1.loss_bbox: 0.0738, s1.loss_mask: 0.0830, s2.loss_cls: 0.0237, s2.acc: 96.3830, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0396, loss: 0.8177 2022-09-16 16:36:26,893 - mmdet - INFO - Epoch [36][1650/7330] lr: 1.000e-06, eta: 1:56:40, time: 1.220, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1332, s0.loss_cls: 0.0982, s0.acc: 96.3179, s0.loss_bbox: 0.0550, s0.loss_mask: 0.1640, s1.loss_cls: 0.0456, s1.acc: 96.5906, s1.loss_bbox: 0.0679, s1.loss_mask: 0.0780, s2.loss_cls: 0.0238, s2.acc: 96.4161, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0369, loss: 0.7840 2022-09-16 16:37:27,653 - mmdet - INFO - Epoch [36][1700/7330] lr: 1.000e-06, eta: 1:55:39, time: 1.215, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1240, s0.loss_cls: 0.0955, s0.acc: 96.2664, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1689, s1.loss_cls: 0.0440, s1.acc: 96.5857, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0809, s2.loss_cls: 0.0227, s2.acc: 96.4276, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0389, loss: 0.7901 2022-09-16 16:38:28,579 - mmdet - INFO - Epoch [36][1750/7330] lr: 1.000e-06, eta: 1:54:37, time: 1.219, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1363, s0.loss_cls: 0.1011, s0.acc: 96.2214, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1679, s1.loss_cls: 0.0470, s1.acc: 96.4679, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0808, s2.loss_cls: 0.0240, s2.acc: 96.2674, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0386, loss: 0.8059 2022-09-16 16:39:29,435 - mmdet - INFO - Epoch [36][1800/7330] lr: 1.000e-06, eta: 1:53:35, time: 1.216, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1292, s0.loss_cls: 0.0937, s0.acc: 96.4167, s0.loss_bbox: 0.0550, s0.loss_mask: 0.1678, s1.loss_cls: 0.0435, s1.acc: 96.6907, s1.loss_bbox: 0.0678, s1.loss_mask: 0.0799, s2.loss_cls: 0.0225, s2.acc: 96.5620, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0384, loss: 0.7803 2022-09-16 16:40:30,421 - mmdet - INFO - Epoch [36][1850/7330] lr: 1.000e-06, eta: 1:52:34, time: 1.221, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0116, loss_rpn_bbox: 0.0183, loss_semantic_seg: 0.1361, s0.loss_cls: 0.0995, s0.acc: 96.2771, s0.loss_bbox: 0.0569, s0.loss_mask: 0.1662, s1.loss_cls: 0.0459, s1.acc: 96.5472, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0793, s2.loss_cls: 0.0240, s2.acc: 96.3620, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0379, loss: 0.7947 2022-09-16 16:41:31,833 - mmdet - INFO - Epoch [36][1900/7330] lr: 1.000e-06, eta: 1:51:32, time: 1.228, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1311, s0.loss_cls: 0.0991, s0.acc: 96.2810, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1649, s1.loss_cls: 0.0455, s1.acc: 96.6005, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0790, s2.loss_cls: 0.0233, s2.acc: 96.4583, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0379, loss: 0.7921 2022-09-16 16:42:31,756 - mmdet - INFO - Epoch [36][1950/7330] lr: 1.000e-06, eta: 1:50:30, time: 1.199, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1355, s0.loss_cls: 0.0981, s0.acc: 96.2261, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1667, s1.loss_cls: 0.0455, s1.acc: 96.4641, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0805, s2.loss_cls: 0.0238, s2.acc: 96.2378, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0385, loss: 0.8015 2022-09-16 16:43:33,925 - mmdet - INFO - Epoch [36][2000/7330] lr: 1.000e-06, eta: 1:49:29, time: 1.243, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1276, s0.loss_cls: 0.1057, s0.acc: 95.9736, s0.loss_bbox: 0.0627, s0.loss_mask: 0.1718, s1.loss_cls: 0.0489, s1.acc: 96.2903, s1.loss_bbox: 0.0730, s1.loss_mask: 0.0818, s2.loss_cls: 0.0251, s2.acc: 96.0644, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0389, loss: 0.8232 2022-09-16 16:44:35,410 - mmdet - INFO - Epoch [36][2050/7330] lr: 1.000e-06, eta: 1:48:27, time: 1.230, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1303, s0.loss_cls: 0.1017, s0.acc: 96.1250, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1680, s1.loss_cls: 0.0470, s1.acc: 96.4417, s1.loss_bbox: 0.0739, s1.loss_mask: 0.0802, s2.loss_cls: 0.0243, s2.acc: 96.2798, s2.loss_bbox: 0.0508, s2.loss_mask: 0.0379, loss: 0.8076 2022-09-16 16:45:36,143 - mmdet - INFO - Epoch [36][2100/7330] lr: 1.000e-06, eta: 1:47:25, time: 1.214, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1333, s0.loss_cls: 0.1002, s0.acc: 96.2065, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1738, s1.loss_cls: 0.0471, s1.acc: 96.5006, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0830, s2.loss_cls: 0.0243, s2.acc: 96.3387, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0395, loss: 0.8097 2022-09-16 16:46:37,250 - mmdet - INFO - Epoch [36][2150/7330] lr: 1.000e-06, eta: 1:46:24, time: 1.223, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1281, s0.loss_cls: 0.1003, s0.acc: 96.1987, s0.loss_bbox: 0.0568, s0.loss_mask: 0.1688, s1.loss_cls: 0.0455, s1.acc: 96.5331, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0808, s2.loss_cls: 0.0234, s2.acc: 96.3846, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0388, loss: 0.7976 2022-09-16 16:47:38,178 - mmdet - INFO - Epoch [36][2200/7330] lr: 1.000e-06, eta: 1:45:22, time: 1.218, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1339, s0.loss_cls: 0.0958, s0.acc: 96.3557, s0.loss_bbox: 0.0566, s0.loss_mask: 0.1611, s1.loss_cls: 0.0437, s1.acc: 96.6227, s1.loss_bbox: 0.0698, s1.loss_mask: 0.0773, s2.loss_cls: 0.0227, s2.acc: 96.4866, s2.loss_bbox: 0.0485, s2.loss_mask: 0.0367, loss: 0.7780 2022-09-16 16:48:39,185 - mmdet - INFO - Epoch [36][2250/7330] lr: 1.000e-06, eta: 1:44:20, time: 1.221, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1293, s0.loss_cls: 0.0954, s0.acc: 96.4045, s0.loss_bbox: 0.0551, s0.loss_mask: 0.1650, s1.loss_cls: 0.0443, s1.acc: 96.6744, s1.loss_bbox: 0.0688, s1.loss_mask: 0.0788, s2.loss_cls: 0.0228, s2.acc: 96.5444, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0376, loss: 0.7776 2022-09-16 16:49:40,952 - mmdet - INFO - Epoch [36][2300/7330] lr: 1.000e-06, eta: 1:43:19, time: 1.235, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1367, s0.loss_cls: 0.0966, s0.acc: 96.3518, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1682, s1.loss_cls: 0.0435, s1.acc: 96.7176, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0803, s2.loss_cls: 0.0225, s2.acc: 96.5789, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0382, loss: 0.7967 2022-09-16 16:50:42,385 - mmdet - INFO - Epoch [36][2350/7330] lr: 1.000e-06, eta: 1:42:17, time: 1.228, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1302, s0.loss_cls: 0.0986, s0.acc: 96.2754, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1687, s1.loss_cls: 0.0452, s1.acc: 96.5872, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0808, s2.loss_cls: 0.0235, s2.acc: 96.3573, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0386, loss: 0.7928 2022-09-16 16:51:42,653 - mmdet - INFO - Epoch [36][2400/7330] lr: 1.000e-06, eta: 1:41:15, time: 1.206, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0187, loss_semantic_seg: 0.1331, s0.loss_cls: 0.0968, s0.acc: 96.3340, s0.loss_bbox: 0.0556, s0.loss_mask: 0.1640, s1.loss_cls: 0.0445, s1.acc: 96.6775, s1.loss_bbox: 0.0675, s1.loss_mask: 0.0783, s2.loss_cls: 0.0230, s2.acc: 96.4282, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0374, loss: 0.7786 2022-09-16 16:52:44,164 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 16:52:44,164 - mmdet - INFO - Epoch [36][2450/7330] lr: 1.000e-06, eta: 1:40:14, time: 1.230, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1348, s0.loss_cls: 0.0984, s0.acc: 96.2087, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1686, s1.loss_cls: 0.0458, s1.acc: 96.5219, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0813, s2.loss_cls: 0.0239, s2.acc: 96.3760, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0389, loss: 0.8043 2022-09-16 16:53:44,908 - mmdet - INFO - Epoch [36][2500/7330] lr: 1.000e-06, eta: 1:39:12, time: 1.215, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1309, s0.loss_cls: 0.1001, s0.acc: 96.2568, s0.loss_bbox: 0.0578, s0.loss_mask: 0.1654, s1.loss_cls: 0.0456, s1.acc: 96.5778, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0782, s2.loss_cls: 0.0237, s2.acc: 96.3896, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0374, loss: 0.7920 2022-09-16 16:54:45,014 - mmdet - INFO - Epoch [36][2550/7330] lr: 1.000e-06, eta: 1:38:10, time: 1.202, data_time: 0.016, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0185, loss_semantic_seg: 0.1360, s0.loss_cls: 0.0928, s0.acc: 96.4299, s0.loss_bbox: 0.0546, s0.loss_mask: 0.1640, s1.loss_cls: 0.0429, s1.acc: 96.7335, s1.loss_bbox: 0.0694, s1.loss_mask: 0.0789, s2.loss_cls: 0.0221, s2.acc: 96.5996, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0378, loss: 0.7797 2022-09-16 16:55:46,635 - mmdet - INFO - Epoch [36][2600/7330] lr: 1.000e-06, eta: 1:37:09, time: 1.232, data_time: 0.034, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1372, s0.loss_cls: 0.1044, s0.acc: 96.0574, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1717, s1.loss_cls: 0.0485, s1.acc: 96.2975, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0816, s2.loss_cls: 0.0250, s2.acc: 96.1770, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0390, loss: 0.8280 2022-09-16 16:56:47,718 - mmdet - INFO - Epoch [36][2650/7330] lr: 1.000e-06, eta: 1:36:07, time: 1.222, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1244, s0.loss_cls: 0.0961, s0.acc: 96.3591, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1650, s1.loss_cls: 0.0439, s1.acc: 96.7006, s1.loss_bbox: 0.0683, s1.loss_mask: 0.0786, s2.loss_cls: 0.0230, s2.acc: 96.5333, s2.loss_bbox: 0.0473, s2.loss_mask: 0.0376, loss: 0.7728 2022-09-16 16:57:48,992 - mmdet - INFO - Epoch [36][2700/7330] lr: 1.000e-06, eta: 1:35:05, time: 1.225, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1271, s0.loss_cls: 0.1013, s0.acc: 96.1279, s0.loss_bbox: 0.0610, s0.loss_mask: 0.1704, s1.loss_cls: 0.0465, s1.acc: 96.4683, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0803, s2.loss_cls: 0.0241, s2.acc: 96.2216, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0381, loss: 0.8058 2022-09-16 16:58:51,226 - mmdet - INFO - Epoch [36][2750/7330] lr: 1.000e-06, eta: 1:34:04, time: 1.244, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1315, s0.loss_cls: 0.1007, s0.acc: 96.1411, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1708, s1.loss_cls: 0.0470, s1.acc: 96.3814, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0811, s2.loss_cls: 0.0243, s2.acc: 96.2932, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0388, loss: 0.8091 2022-09-16 16:59:51,703 - mmdet - INFO - Epoch [36][2800/7330] lr: 1.000e-06, eta: 1:33:02, time: 1.210, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1232, s0.loss_cls: 0.1058, s0.acc: 95.9729, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1751, s1.loss_cls: 0.0484, s1.acc: 96.3127, s1.loss_bbox: 0.0741, s1.loss_mask: 0.0839, s2.loss_cls: 0.0248, s2.acc: 96.1500, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0400, loss: 0.8207 2022-09-16 17:00:53,077 - mmdet - INFO - Epoch [36][2850/7330] lr: 1.000e-06, eta: 1:32:01, time: 1.228, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0189, loss_semantic_seg: 0.1285, s0.loss_cls: 0.0986, s0.acc: 96.2249, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1654, s1.loss_cls: 0.0456, s1.acc: 96.5253, s1.loss_bbox: 0.0702, s1.loss_mask: 0.0789, s2.loss_cls: 0.0236, s2.acc: 96.2907, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0378, loss: 0.7854 2022-09-16 17:01:54,596 - mmdet - INFO - Epoch [36][2900/7330] lr: 1.000e-06, eta: 1:30:59, time: 1.230, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1292, s0.loss_cls: 0.0959, s0.acc: 96.3398, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1672, s1.loss_cls: 0.0441, s1.acc: 96.6243, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0802, s2.loss_cls: 0.0231, s2.acc: 96.4727, s2.loss_bbox: 0.0495, s2.loss_mask: 0.0380, loss: 0.7884 2022-09-16 17:02:56,166 - mmdet - INFO - Epoch [36][2950/7330] lr: 1.000e-06, eta: 1:29:57, time: 1.232, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1293, s0.loss_cls: 0.0975, s0.acc: 96.3464, s0.loss_bbox: 0.0570, s0.loss_mask: 0.1647, s1.loss_cls: 0.0447, s1.acc: 96.6603, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0788, s2.loss_cls: 0.0230, s2.acc: 96.4574, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0375, loss: 0.7883 2022-09-16 17:03:57,571 - mmdet - INFO - Epoch [36][3000/7330] lr: 1.000e-06, eta: 1:28:56, time: 1.228, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1326, s0.loss_cls: 0.0927, s0.acc: 96.4089, s0.loss_bbox: 0.0541, s0.loss_mask: 0.1624, s1.loss_cls: 0.0431, s1.acc: 96.6909, s1.loss_bbox: 0.0672, s1.loss_mask: 0.0779, s2.loss_cls: 0.0226, s2.acc: 96.5486, s2.loss_bbox: 0.0465, s2.loss_mask: 0.0371, loss: 0.7701 2022-09-16 17:04:58,331 - mmdet - INFO - Epoch [36][3050/7330] lr: 1.000e-06, eta: 1:27:54, time: 1.215, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1319, s0.loss_cls: 0.1018, s0.acc: 96.1406, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1653, s1.loss_cls: 0.0472, s1.acc: 96.4539, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0793, s2.loss_cls: 0.0247, s2.acc: 96.2699, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0378, loss: 0.8000 2022-09-16 17:05:59,213 - mmdet - INFO - Epoch [36][3100/7330] lr: 1.000e-06, eta: 1:26:52, time: 1.217, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0118, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1334, s0.loss_cls: 0.0927, s0.acc: 96.4058, s0.loss_bbox: 0.0551, s0.loss_mask: 0.1635, s1.loss_cls: 0.0428, s1.acc: 96.6880, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0781, s2.loss_cls: 0.0227, s2.acc: 96.4907, s2.loss_bbox: 0.0491, s2.loss_mask: 0.0375, loss: 0.7748 2022-09-16 17:07:00,465 - mmdet - INFO - Epoch [36][3150/7330] lr: 1.000e-06, eta: 1:25:51, time: 1.226, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0189, loss_semantic_seg: 0.1303, s0.loss_cls: 0.0938, s0.acc: 96.4543, s0.loss_bbox: 0.0544, s0.loss_mask: 0.1654, s1.loss_cls: 0.0426, s1.acc: 96.8293, s1.loss_bbox: 0.0675, s1.loss_mask: 0.0791, s2.loss_cls: 0.0222, s2.acc: 96.5850, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0381, loss: 0.7729 2022-09-16 17:08:01,688 - mmdet - INFO - Epoch [36][3200/7330] lr: 1.000e-06, eta: 1:24:49, time: 1.225, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1283, s0.loss_cls: 0.0967, s0.acc: 96.3145, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1669, s1.loss_cls: 0.0441, s1.acc: 96.6533, s1.loss_bbox: 0.0689, s1.loss_mask: 0.0803, s2.loss_cls: 0.0231, s2.acc: 96.3997, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0384, loss: 0.7832 2022-09-16 17:09:03,479 - mmdet - INFO - Epoch [36][3250/7330] lr: 1.000e-06, eta: 1:23:47, time: 1.236, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1423, s0.loss_cls: 0.0954, s0.acc: 96.3354, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1642, s1.loss_cls: 0.0435, s1.acc: 96.6856, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0784, s2.loss_cls: 0.0227, s2.acc: 96.4975, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0374, loss: 0.7959 2022-09-16 17:10:04,247 - mmdet - INFO - Epoch [36][3300/7330] lr: 1.000e-06, eta: 1:22:46, time: 1.215, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0117, loss_rpn_bbox: 0.0189, loss_semantic_seg: 0.1348, s0.loss_cls: 0.0957, s0.acc: 96.3628, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1669, s1.loss_cls: 0.0442, s1.acc: 96.6600, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0798, s2.loss_cls: 0.0226, s2.acc: 96.4960, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0380, loss: 0.7887 2022-09-16 17:11:05,322 - mmdet - INFO - Epoch [36][3350/7330] lr: 1.000e-06, eta: 1:21:44, time: 1.221, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1306, s0.loss_cls: 0.0979, s0.acc: 96.2261, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1657, s1.loss_cls: 0.0454, s1.acc: 96.5004, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0800, s2.loss_cls: 0.0236, s2.acc: 96.2932, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0383, loss: 0.7938 2022-09-16 17:12:06,189 - mmdet - INFO - Epoch [36][3400/7330] lr: 1.000e-06, eta: 1:20:42, time: 1.216, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1304, s0.loss_cls: 0.0998, s0.acc: 96.1868, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1692, s1.loss_cls: 0.0456, s1.acc: 96.4923, s1.loss_bbox: 0.0748, s1.loss_mask: 0.0812, s2.loss_cls: 0.0239, s2.acc: 96.2385, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0386, loss: 0.8092 2022-09-16 17:13:07,059 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 17:13:07,063 - mmdet - INFO - Epoch [36][3450/7330] lr: 1.000e-06, eta: 1:19:41, time: 1.219, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1418, s0.loss_cls: 0.0955, s0.acc: 96.2881, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1702, s1.loss_cls: 0.0443, s1.acc: 96.5643, s1.loss_bbox: 0.0731, s1.loss_mask: 0.0816, s2.loss_cls: 0.0231, s2.acc: 96.3034, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0387, loss: 0.8119 2022-09-16 17:14:07,924 - mmdet - INFO - Epoch [36][3500/7330] lr: 1.000e-06, eta: 1:18:39, time: 1.217, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0134, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1294, s0.loss_cls: 0.0962, s0.acc: 96.3257, s0.loss_bbox: 0.0565, s0.loss_mask: 0.1646, s1.loss_cls: 0.0434, s1.acc: 96.7362, s1.loss_bbox: 0.0691, s1.loss_mask: 0.0783, s2.loss_cls: 0.0225, s2.acc: 96.5504, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0375, loss: 0.7801 2022-09-16 17:15:09,874 - mmdet - INFO - Epoch [36][3550/7330] lr: 1.000e-06, eta: 1:17:38, time: 1.239, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1316, s0.loss_cls: 0.0979, s0.acc: 96.2446, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1725, s1.loss_cls: 0.0450, s1.acc: 96.5625, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0825, s2.loss_cls: 0.0232, s2.acc: 96.3895, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0394, loss: 0.8073 2022-09-16 17:16:11,065 - mmdet - INFO - Epoch [36][3600/7330] lr: 1.000e-06, eta: 1:16:36, time: 1.224, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1383, s0.loss_cls: 0.1023, s0.acc: 96.1248, s0.loss_bbox: 0.0592, s0.loss_mask: 0.1688, s1.loss_cls: 0.0476, s1.acc: 96.2778, s1.loss_bbox: 0.0720, s1.loss_mask: 0.0809, s2.loss_cls: 0.0247, s2.acc: 96.1087, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0385, loss: 0.8150 2022-09-16 17:17:12,184 - mmdet - INFO - Epoch [36][3650/7330] lr: 1.000e-06, eta: 1:15:34, time: 1.222, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1256, s0.loss_cls: 0.0967, s0.acc: 96.3313, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1676, s1.loss_cls: 0.0444, s1.acc: 96.6647, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0801, s2.loss_cls: 0.0236, s2.acc: 96.3587, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0381, loss: 0.7908 2022-09-16 17:18:14,256 - mmdet - INFO - Epoch [36][3700/7330] lr: 1.000e-06, eta: 1:14:33, time: 1.242, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1353, s0.loss_cls: 0.0969, s0.acc: 96.3784, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1673, s1.loss_cls: 0.0439, s1.acc: 96.6986, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0805, s2.loss_cls: 0.0231, s2.acc: 96.4909, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0386, loss: 0.7979 2022-09-16 17:19:15,581 - mmdet - INFO - Epoch [36][3750/7330] lr: 1.000e-06, eta: 1:13:31, time: 1.226, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1253, s0.loss_cls: 0.0948, s0.acc: 96.3169, s0.loss_bbox: 0.0553, s0.loss_mask: 0.1678, s1.loss_cls: 0.0434, s1.acc: 96.6260, s1.loss_bbox: 0.0701, s1.loss_mask: 0.0818, s2.loss_cls: 0.0230, s2.acc: 96.3206, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0391, loss: 0.7822 2022-09-16 17:20:17,095 - mmdet - INFO - Epoch [36][3800/7330] lr: 1.000e-06, eta: 1:12:29, time: 1.230, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1261, s0.loss_cls: 0.0962, s0.acc: 96.3474, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1695, s1.loss_cls: 0.0448, s1.acc: 96.6602, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0814, s2.loss_cls: 0.0226, s2.acc: 96.5231, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0388, loss: 0.7881 2022-09-16 17:21:17,990 - mmdet - INFO - Epoch [36][3850/7330] lr: 1.000e-06, eta: 1:11:28, time: 1.218, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1294, s0.loss_cls: 0.0938, s0.acc: 96.4788, s0.loss_bbox: 0.0554, s0.loss_mask: 0.1639, s1.loss_cls: 0.0441, s1.acc: 96.7028, s1.loss_bbox: 0.0684, s1.loss_mask: 0.0783, s2.loss_cls: 0.0231, s2.acc: 96.4158, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0373, loss: 0.7730 2022-09-16 17:22:18,755 - mmdet - INFO - Epoch [36][3900/7330] lr: 1.000e-06, eta: 1:10:26, time: 1.215, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1325, s0.loss_cls: 0.1014, s0.acc: 96.1069, s0.loss_bbox: 0.0606, s0.loss_mask: 0.1707, s1.loss_cls: 0.0473, s1.acc: 96.3423, s1.loss_bbox: 0.0743, s1.loss_mask: 0.0819, s2.loss_cls: 0.0247, s2.acc: 96.1113, s2.loss_bbox: 0.0515, s2.loss_mask: 0.0389, loss: 0.8164 2022-09-16 17:23:19,477 - mmdet - INFO - Epoch [36][3950/7330] lr: 1.000e-06, eta: 1:09:25, time: 1.214, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1390, s0.loss_cls: 0.1037, s0.acc: 96.0884, s0.loss_bbox: 0.0604, s0.loss_mask: 0.1668, s1.loss_cls: 0.0488, s1.acc: 96.3780, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0793, s2.loss_cls: 0.0251, s2.acc: 96.2056, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0377, loss: 0.8175 2022-09-16 17:24:19,416 - mmdet - INFO - Epoch [36][4000/7330] lr: 1.000e-06, eta: 1:08:23, time: 1.199, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0196, loss_semantic_seg: 0.1314, s0.loss_cls: 0.0951, s0.acc: 96.3892, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1635, s1.loss_cls: 0.0434, s1.acc: 96.7020, s1.loss_bbox: 0.0699, s1.loss_mask: 0.0786, s2.loss_cls: 0.0226, s2.acc: 96.5056, s2.loss_bbox: 0.0486, s2.loss_mask: 0.0376, loss: 0.7787 2022-09-16 17:25:20,886 - mmdet - INFO - Epoch [36][4050/7330] lr: 1.000e-06, eta: 1:07:21, time: 1.229, data_time: 0.035, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1253, s0.loss_cls: 0.0999, s0.acc: 96.1565, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1687, s1.loss_cls: 0.0449, s1.acc: 96.5322, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0805, s2.loss_cls: 0.0234, s2.acc: 96.2934, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0384, loss: 0.7998 2022-09-16 17:26:21,873 - mmdet - INFO - Epoch [36][4100/7330] lr: 1.000e-06, eta: 1:06:20, time: 1.220, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1313, s0.loss_cls: 0.0969, s0.acc: 96.3188, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1681, s1.loss_cls: 0.0454, s1.acc: 96.5827, s1.loss_bbox: 0.0711, s1.loss_mask: 0.0805, s2.loss_cls: 0.0236, s2.acc: 96.3726, s2.loss_bbox: 0.0492, s2.loss_mask: 0.0383, loss: 0.7976 2022-09-16 17:27:22,956 - mmdet - INFO - Epoch [36][4150/7330] lr: 1.000e-06, eta: 1:05:18, time: 1.221, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1323, s0.loss_cls: 0.0998, s0.acc: 96.1621, s0.loss_bbox: 0.0608, s0.loss_mask: 0.1736, s1.loss_cls: 0.0455, s1.acc: 96.5290, s1.loss_bbox: 0.0751, s1.loss_mask: 0.0829, s2.loss_cls: 0.0238, s2.acc: 96.3201, s2.loss_bbox: 0.0524, s2.loss_mask: 0.0397, loss: 0.8222 2022-09-16 17:28:24,354 - mmdet - INFO - Epoch [36][4200/7330] lr: 1.000e-06, eta: 1:04:16, time: 1.229, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1350, s0.loss_cls: 0.0955, s0.acc: 96.3137, s0.loss_bbox: 0.0558, s0.loss_mask: 0.1656, s1.loss_cls: 0.0444, s1.acc: 96.6362, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0794, s2.loss_cls: 0.0232, s2.acc: 96.4745, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0378, loss: 0.7914 2022-09-16 17:29:26,661 - mmdet - INFO - Epoch [36][4250/7330] lr: 1.000e-06, eta: 1:03:15, time: 1.246, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1353, s0.loss_cls: 0.1007, s0.acc: 96.2229, s0.loss_bbox: 0.0590, s0.loss_mask: 0.1668, s1.loss_cls: 0.0464, s1.acc: 96.5506, s1.loss_bbox: 0.0726, s1.loss_mask: 0.0795, s2.loss_cls: 0.0238, s2.acc: 96.4125, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0381, loss: 0.8060 2022-09-16 17:30:28,153 - mmdet - INFO - Epoch [36][4300/7330] lr: 1.000e-06, eta: 1:02:13, time: 1.230, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1305, s0.loss_cls: 0.0988, s0.acc: 96.1904, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1689, s1.loss_cls: 0.0451, s1.acc: 96.5528, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0807, s2.loss_cls: 0.0234, s2.acc: 96.3484, s2.loss_bbox: 0.0516, s2.loss_mask: 0.0385, loss: 0.8007 2022-09-16 17:31:29,517 - mmdet - INFO - Epoch [36][4350/7330] lr: 1.000e-06, eta: 1:01:12, time: 1.227, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1263, s0.loss_cls: 0.0978, s0.acc: 96.2783, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1684, s1.loss_cls: 0.0447, s1.acc: 96.5534, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0804, s2.loss_cls: 0.0231, s2.acc: 96.3363, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0383, loss: 0.7909 2022-09-16 17:32:30,251 - mmdet - INFO - Epoch [36][4400/7330] lr: 1.000e-06, eta: 1:00:10, time: 1.214, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1357, s0.loss_cls: 0.0968, s0.acc: 96.3357, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1705, s1.loss_cls: 0.0451, s1.acc: 96.6009, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0818, s2.loss_cls: 0.0235, s2.acc: 96.4137, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0393, loss: 0.8059 2022-09-16 17:33:31,155 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 17:33:31,158 - mmdet - INFO - Epoch [36][4450/7330] lr: 1.000e-06, eta: 0:59:08, time: 1.216, data_time: 0.037, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0191, loss_semantic_seg: 0.1294, s0.loss_cls: 0.0937, s0.acc: 96.4429, s0.loss_bbox: 0.0538, s0.loss_mask: 0.1609, s1.loss_cls: 0.0430, s1.acc: 96.7469, s1.loss_bbox: 0.0684, s1.loss_mask: 0.0773, s2.loss_cls: 0.0226, s2.acc: 96.5315, s2.loss_bbox: 0.0493, s2.loss_mask: 0.0368, loss: 0.7669 2022-09-16 17:34:30,894 - mmdet - INFO - Epoch [36][4500/7330] lr: 1.000e-06, eta: 0:58:07, time: 1.197, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0112, loss_rpn_bbox: 0.0188, loss_semantic_seg: 0.1378, s0.loss_cls: 0.0911, s0.acc: 96.5647, s0.loss_bbox: 0.0524, s0.loss_mask: 0.1657, s1.loss_cls: 0.0420, s1.acc: 96.8335, s1.loss_bbox: 0.0662, s1.loss_mask: 0.0800, s2.loss_cls: 0.0218, s2.acc: 96.5946, s2.loss_bbox: 0.0480, s2.loss_mask: 0.0384, loss: 0.7732 2022-09-16 17:35:32,218 - mmdet - INFO - Epoch [36][4550/7330] lr: 1.000e-06, eta: 0:57:05, time: 1.226, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0115, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1297, s0.loss_cls: 0.0937, s0.acc: 96.4324, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1649, s1.loss_cls: 0.0433, s1.acc: 96.6833, s1.loss_bbox: 0.0695, s1.loss_mask: 0.0785, s2.loss_cls: 0.0226, s2.acc: 96.4908, s2.loss_bbox: 0.0484, s2.loss_mask: 0.0375, loss: 0.7758 2022-09-16 17:36:32,503 - mmdet - INFO - Epoch [36][4600/7330] lr: 1.000e-06, eta: 0:56:03, time: 1.206, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1328, s0.loss_cls: 0.0995, s0.acc: 96.2461, s0.loss_bbox: 0.0575, s0.loss_mask: 0.1678, s1.loss_cls: 0.0459, s1.acc: 96.5328, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0811, s2.loss_cls: 0.0242, s2.acc: 96.3239, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0385, loss: 0.8002 2022-09-16 17:37:33,051 - mmdet - INFO - Epoch [36][4650/7330] lr: 1.000e-06, eta: 0:55:02, time: 1.211, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0114, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1290, s0.loss_cls: 0.1011, s0.acc: 96.1179, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1718, s1.loss_cls: 0.0468, s1.acc: 96.4237, s1.loss_bbox: 0.0739, s1.loss_mask: 0.0817, s2.loss_cls: 0.0247, s2.acc: 96.1265, s2.loss_bbox: 0.0505, s2.loss_mask: 0.0388, loss: 0.8088 2022-09-16 17:38:34,524 - mmdet - INFO - Epoch [36][4700/7330] lr: 1.000e-06, eta: 0:54:00, time: 1.229, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0186, loss_semantic_seg: 0.1293, s0.loss_cls: 0.0940, s0.acc: 96.4636, s0.loss_bbox: 0.0552, s0.loss_mask: 0.1624, s1.loss_cls: 0.0431, s1.acc: 96.7360, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0778, s2.loss_cls: 0.0226, s2.acc: 96.4888, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0372, loss: 0.7729 2022-09-16 17:39:35,166 - mmdet - INFO - Epoch [36][4750/7330] lr: 1.000e-06, eta: 0:52:58, time: 1.213, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1441, s0.loss_cls: 0.0962, s0.acc: 96.2981, s0.loss_bbox: 0.0549, s0.loss_mask: 0.1641, s1.loss_cls: 0.0436, s1.acc: 96.6365, s1.loss_bbox: 0.0686, s1.loss_mask: 0.0787, s2.loss_cls: 0.0226, s2.acc: 96.5052, s2.loss_bbox: 0.0487, s2.loss_mask: 0.0378, loss: 0.7917 2022-09-16 17:40:36,502 - mmdet - INFO - Epoch [36][4800/7330] lr: 1.000e-06, eta: 0:51:57, time: 1.227, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1400, s0.loss_cls: 0.1027, s0.acc: 96.0986, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1646, s1.loss_cls: 0.0474, s1.acc: 96.4035, s1.loss_bbox: 0.0690, s1.loss_mask: 0.0784, s2.loss_cls: 0.0240, s2.acc: 96.2576, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0374, loss: 0.8027 2022-09-16 17:41:39,000 - mmdet - INFO - Epoch [36][4850/7330] lr: 1.000e-06, eta: 0:50:55, time: 1.250, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0200, loss_semantic_seg: 0.1324, s0.loss_cls: 0.1004, s0.acc: 96.1504, s0.loss_bbox: 0.0583, s0.loss_mask: 0.1665, s1.loss_cls: 0.0467, s1.acc: 96.4580, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0797, s2.loss_cls: 0.0240, s2.acc: 96.2503, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0381, loss: 0.8017 2022-09-16 17:42:39,577 - mmdet - INFO - Epoch [36][4900/7330] lr: 1.000e-06, eta: 0:49:54, time: 1.211, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1337, s0.loss_cls: 0.0974, s0.acc: 96.3247, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1668, s1.loss_cls: 0.0448, s1.acc: 96.6196, s1.loss_bbox: 0.0712, s1.loss_mask: 0.0785, s2.loss_cls: 0.0234, s2.acc: 96.4312, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0373, loss: 0.7955 2022-09-16 17:43:41,675 - mmdet - INFO - Epoch [36][4950/7330] lr: 1.000e-06, eta: 0:48:52, time: 1.243, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1316, s0.loss_cls: 0.0963, s0.acc: 96.3162, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1701, s1.loss_cls: 0.0440, s1.acc: 96.6076, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0817, s2.loss_cls: 0.0227, s2.acc: 96.4396, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0391, loss: 0.7973 2022-09-16 17:44:42,797 - mmdet - INFO - Epoch [36][5000/7330] lr: 1.000e-06, eta: 0:47:50, time: 1.222, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0123, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1340, s0.loss_cls: 0.0956, s0.acc: 96.3191, s0.loss_bbox: 0.0564, s0.loss_mask: 0.1670, s1.loss_cls: 0.0439, s1.acc: 96.6213, s1.loss_bbox: 0.0689, s1.loss_mask: 0.0798, s2.loss_cls: 0.0229, s2.acc: 96.3980, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0385, loss: 0.7878 2022-09-16 17:45:44,018 - mmdet - INFO - Epoch [36][5050/7330] lr: 1.000e-06, eta: 0:46:49, time: 1.225, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1306, s0.loss_cls: 0.0946, s0.acc: 96.3303, s0.loss_bbox: 0.0555, s0.loss_mask: 0.1657, s1.loss_cls: 0.0438, s1.acc: 96.6098, s1.loss_bbox: 0.0707, s1.loss_mask: 0.0797, s2.loss_cls: 0.0228, s2.acc: 96.3992, s2.loss_bbox: 0.0504, s2.loss_mask: 0.0384, loss: 0.7850 2022-09-16 17:46:44,771 - mmdet - INFO - Epoch [36][5100/7330] lr: 1.000e-06, eta: 0:45:47, time: 1.214, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0220, loss_semantic_seg: 0.1322, s0.loss_cls: 0.1015, s0.acc: 96.1489, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1741, s1.loss_cls: 0.0470, s1.acc: 96.3837, s1.loss_bbox: 0.0747, s1.loss_mask: 0.0833, s2.loss_cls: 0.0244, s2.acc: 96.1735, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0398, loss: 0.8273 2022-09-16 17:47:46,146 - mmdet - INFO - Epoch [36][5150/7330] lr: 1.000e-06, eta: 0:44:46, time: 1.228, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0131, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1398, s0.loss_cls: 0.0994, s0.acc: 96.2334, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1732, s1.loss_cls: 0.0455, s1.acc: 96.5043, s1.loss_bbox: 0.0727, s1.loss_mask: 0.0827, s2.loss_cls: 0.0240, s2.acc: 96.2902, s2.loss_bbox: 0.0512, s2.loss_mask: 0.0393, loss: 0.8190 2022-09-16 17:48:46,862 - mmdet - INFO - Epoch [36][5200/7330] lr: 1.000e-06, eta: 0:43:44, time: 1.214, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1292, s0.loss_cls: 0.1020, s0.acc: 96.1138, s0.loss_bbox: 0.0626, s0.loss_mask: 0.1754, s1.loss_cls: 0.0475, s1.acc: 96.3552, s1.loss_bbox: 0.0773, s1.loss_mask: 0.0836, s2.loss_cls: 0.0244, s2.acc: 96.1434, s2.loss_bbox: 0.0537, s2.loss_mask: 0.0395, loss: 0.8289 2022-09-16 17:49:47,451 - mmdet - INFO - Epoch [36][5250/7330] lr: 1.000e-06, eta: 0:42:42, time: 1.212, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1359, s0.loss_cls: 0.1010, s0.acc: 96.2153, s0.loss_bbox: 0.0596, s0.loss_mask: 0.1690, s1.loss_cls: 0.0462, s1.acc: 96.5128, s1.loss_bbox: 0.0717, s1.loss_mask: 0.0805, s2.loss_cls: 0.0239, s2.acc: 96.2787, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0385, loss: 0.8112 2022-09-16 17:50:49,126 - mmdet - INFO - Epoch [36][5300/7330] lr: 1.000e-06, eta: 0:41:41, time: 1.233, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0217, loss_semantic_seg: 0.1420, s0.loss_cls: 0.1023, s0.acc: 96.1284, s0.loss_bbox: 0.0605, s0.loss_mask: 0.1708, s1.loss_cls: 0.0474, s1.acc: 96.4455, s1.loss_bbox: 0.0753, s1.loss_mask: 0.0812, s2.loss_cls: 0.0250, s2.acc: 96.1888, s2.loss_bbox: 0.0520, s2.loss_mask: 0.0383, loss: 0.8296 2022-09-16 17:51:50,454 - mmdet - INFO - Epoch [36][5350/7330] lr: 1.000e-06, eta: 0:40:39, time: 1.226, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0194, loss_semantic_seg: 0.1260, s0.loss_cls: 0.0966, s0.acc: 96.2920, s0.loss_bbox: 0.0551, s0.loss_mask: 0.1632, s1.loss_cls: 0.0440, s1.acc: 96.5842, s1.loss_bbox: 0.0676, s1.loss_mask: 0.0781, s2.loss_cls: 0.0231, s2.acc: 96.3378, s2.loss_bbox: 0.0489, s2.loss_mask: 0.0374, loss: 0.7736 2022-09-16 17:52:51,518 - mmdet - INFO - Epoch [36][5400/7330] lr: 1.000e-06, eta: 0:39:37, time: 1.222, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1402, s0.loss_cls: 0.1009, s0.acc: 96.1982, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1693, s1.loss_cls: 0.0463, s1.acc: 96.5103, s1.loss_bbox: 0.0723, s1.loss_mask: 0.0810, s2.loss_cls: 0.0241, s2.acc: 96.2694, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0386, loss: 0.8162 2022-09-16 17:53:52,187 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 17:53:52,225 - mmdet - INFO - Epoch [36][5450/7330] lr: 1.000e-06, eta: 0:38:36, time: 1.213, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1351, s0.loss_cls: 0.0994, s0.acc: 96.1921, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1662, s1.loss_cls: 0.0458, s1.acc: 96.4803, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0797, s2.loss_cls: 0.0236, s2.acc: 96.3522, s2.loss_bbox: 0.0502, s2.loss_mask: 0.0382, loss: 0.7974 2022-09-16 17:54:53,407 - mmdet - INFO - Epoch [36][5500/7330] lr: 1.000e-06, eta: 0:37:34, time: 1.224, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0213, loss_semantic_seg: 0.1388, s0.loss_cls: 0.1014, s0.acc: 96.1243, s0.loss_bbox: 0.0577, s0.loss_mask: 0.1688, s1.loss_cls: 0.0463, s1.acc: 96.4555, s1.loss_bbox: 0.0732, s1.loss_mask: 0.0811, s2.loss_cls: 0.0241, s2.acc: 96.1753, s2.loss_bbox: 0.0527, s2.loss_mask: 0.0389, loss: 0.8176 2022-09-16 17:55:54,849 - mmdet - INFO - Epoch [36][5550/7330] lr: 1.000e-06, eta: 0:36:33, time: 1.229, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0197, loss_semantic_seg: 0.1307, s0.loss_cls: 0.0930, s0.acc: 96.4749, s0.loss_bbox: 0.0545, s0.loss_mask: 0.1659, s1.loss_cls: 0.0428, s1.acc: 96.7247, s1.loss_bbox: 0.0674, s1.loss_mask: 0.0798, s2.loss_cls: 0.0224, s2.acc: 96.5866, s2.loss_bbox: 0.0490, s2.loss_mask: 0.0381, loss: 0.7753 2022-09-16 17:56:56,031 - mmdet - INFO - Epoch [36][5600/7330] lr: 1.000e-06, eta: 0:35:31, time: 1.224, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0119, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1290, s0.loss_cls: 0.0899, s0.acc: 96.5774, s0.loss_bbox: 0.0533, s0.loss_mask: 0.1629, s1.loss_cls: 0.0423, s1.acc: 96.8097, s1.loss_bbox: 0.0670, s1.loss_mask: 0.0774, s2.loss_cls: 0.0221, s2.acc: 96.5541, s2.loss_bbox: 0.0478, s2.loss_mask: 0.0370, loss: 0.7597 2022-09-16 17:57:57,065 - mmdet - INFO - Epoch [36][5650/7330] lr: 1.000e-06, eta: 0:34:29, time: 1.220, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0122, loss_rpn_bbox: 0.0204, loss_semantic_seg: 0.1336, s0.loss_cls: 0.0960, s0.acc: 96.2551, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1675, s1.loss_cls: 0.0439, s1.acc: 96.6489, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0794, s2.loss_cls: 0.0230, s2.acc: 96.3971, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0378, loss: 0.7917 2022-09-16 17:58:57,766 - mmdet - INFO - Epoch [36][5700/7330] lr: 1.000e-06, eta: 0:33:28, time: 1.214, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1300, s0.loss_cls: 0.0935, s0.acc: 96.4688, s0.loss_bbox: 0.0563, s0.loss_mask: 0.1631, s1.loss_cls: 0.0433, s1.acc: 96.7293, s1.loss_bbox: 0.0689, s1.loss_mask: 0.0776, s2.loss_cls: 0.0230, s2.acc: 96.4202, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0369, loss: 0.7734 2022-09-16 17:59:59,075 - mmdet - INFO - Epoch [36][5750/7330] lr: 1.000e-06, eta: 0:32:26, time: 1.226, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0222, loss_semantic_seg: 0.1386, s0.loss_cls: 0.1000, s0.acc: 96.2136, s0.loss_bbox: 0.0603, s0.loss_mask: 0.1703, s1.loss_cls: 0.0457, s1.acc: 96.5430, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0810, s2.loss_cls: 0.0234, s2.acc: 96.3042, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0385, loss: 0.8176 2022-09-16 18:01:06,065 - mmdet - INFO - Epoch [36][5800/7330] lr: 1.000e-06, eta: 0:31:25, time: 1.340, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0120, loss_rpn_bbox: 0.0208, loss_semantic_seg: 0.1283, s0.loss_cls: 0.0973, s0.acc: 96.3440, s0.loss_bbox: 0.0579, s0.loss_mask: 0.1716, s1.loss_cls: 0.0448, s1.acc: 96.6230, s1.loss_bbox: 0.0706, s1.loss_mask: 0.0813, s2.loss_cls: 0.0235, s2.acc: 96.3562, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0385, loss: 0.7945 2022-09-16 18:02:06,084 - mmdet - INFO - Epoch [36][5850/7330] lr: 1.000e-06, eta: 0:30:23, time: 1.200, data_time: 0.017, memory: 64764, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1318, s0.loss_cls: 0.1031, s0.acc: 96.0718, s0.loss_bbox: 0.0600, s0.loss_mask: 0.1684, s1.loss_cls: 0.0476, s1.acc: 96.3276, s1.loss_bbox: 0.0733, s1.loss_mask: 0.0804, s2.loss_cls: 0.0246, s2.acc: 96.0860, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0383, loss: 0.8119 2022-09-16 18:03:07,044 - mmdet - INFO - Epoch [36][5900/7330] lr: 1.000e-06, eta: 0:29:21, time: 1.220, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1333, s0.loss_cls: 0.0983, s0.acc: 96.2673, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1654, s1.loss_cls: 0.0460, s1.acc: 96.4993, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0791, s2.loss_cls: 0.0238, s2.acc: 96.3942, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0379, loss: 0.7939 2022-09-16 18:04:08,107 - mmdet - INFO - Epoch [36][5950/7330] lr: 1.000e-06, eta: 0:28:20, time: 1.221, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1333, s0.loss_cls: 0.0994, s0.acc: 96.2507, s0.loss_bbox: 0.0573, s0.loss_mask: 0.1689, s1.loss_cls: 0.0457, s1.acc: 96.5264, s1.loss_bbox: 0.0713, s1.loss_mask: 0.0811, s2.loss_cls: 0.0240, s2.acc: 96.2665, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0388, loss: 0.8044 2022-09-16 18:05:09,702 - mmdet - INFO - Epoch [36][6000/7330] lr: 1.000e-06, eta: 0:27:18, time: 1.232, data_time: 0.032, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1328, s0.loss_cls: 0.0985, s0.acc: 96.2395, s0.loss_bbox: 0.0576, s0.loss_mask: 0.1714, s1.loss_cls: 0.0458, s1.acc: 96.5109, s1.loss_bbox: 0.0736, s1.loss_mask: 0.0819, s2.loss_cls: 0.0241, s2.acc: 96.2184, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0390, loss: 0.8084 2022-09-16 18:06:11,230 - mmdet - INFO - Epoch [36][6050/7330] lr: 1.000e-06, eta: 0:26:17, time: 1.231, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0210, loss_semantic_seg: 0.1259, s0.loss_cls: 0.0980, s0.acc: 96.3130, s0.loss_bbox: 0.0595, s0.loss_mask: 0.1675, s1.loss_cls: 0.0451, s1.acc: 96.5592, s1.loss_bbox: 0.0705, s1.loss_mask: 0.0802, s2.loss_cls: 0.0235, s2.acc: 96.4021, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0381, loss: 0.7909 2022-09-16 18:07:12,722 - mmdet - INFO - Epoch [36][6100/7330] lr: 1.000e-06, eta: 0:25:15, time: 1.230, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0212, loss_semantic_seg: 0.1346, s0.loss_cls: 0.0974, s0.acc: 96.2844, s0.loss_bbox: 0.0562, s0.loss_mask: 0.1643, s1.loss_cls: 0.0450, s1.acc: 96.5855, s1.loss_bbox: 0.0700, s1.loss_mask: 0.0782, s2.loss_cls: 0.0232, s2.acc: 96.3927, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0376, loss: 0.7909 2022-09-16 18:08:14,173 - mmdet - INFO - Epoch [36][6150/7330] lr: 1.000e-06, eta: 0:24:13, time: 1.229, data_time: 0.028, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1343, s0.loss_cls: 0.0970, s0.acc: 96.3579, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1671, s1.loss_cls: 0.0446, s1.acc: 96.6884, s1.loss_bbox: 0.0692, s1.loss_mask: 0.0801, s2.loss_cls: 0.0228, s2.acc: 96.4991, s2.loss_bbox: 0.0483, s2.loss_mask: 0.0381, loss: 0.7905 2022-09-16 18:09:15,891 - mmdet - INFO - Epoch [36][6200/7330] lr: 1.000e-06, eta: 0:23:12, time: 1.234, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0192, loss_semantic_seg: 0.1260, s0.loss_cls: 0.0978, s0.acc: 96.2563, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1701, s1.loss_cls: 0.0459, s1.acc: 96.5066, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0817, s2.loss_cls: 0.0240, s2.acc: 96.3013, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0388, loss: 0.7983 2022-09-16 18:10:17,058 - mmdet - INFO - Epoch [36][6250/7330] lr: 1.000e-06, eta: 0:22:10, time: 1.223, data_time: 0.022, memory: 64764, loss_rpn_cls: 0.0125, loss_rpn_bbox: 0.0199, loss_semantic_seg: 0.1271, s0.loss_cls: 0.0964, s0.acc: 96.3872, s0.loss_bbox: 0.0558, s0.loss_mask: 0.1631, s1.loss_cls: 0.0450, s1.acc: 96.6527, s1.loss_bbox: 0.0693, s1.loss_mask: 0.0776, s2.loss_cls: 0.0232, s2.acc: 96.4237, s2.loss_bbox: 0.0476, s2.loss_mask: 0.0370, loss: 0.7744 2022-09-16 18:11:18,266 - mmdet - INFO - Epoch [36][6300/7330] lr: 1.000e-06, eta: 0:21:09, time: 1.225, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0206, loss_semantic_seg: 0.1279, s0.loss_cls: 0.1015, s0.acc: 96.1306, s0.loss_bbox: 0.0589, s0.loss_mask: 0.1677, s1.loss_cls: 0.0473, s1.acc: 96.3975, s1.loss_bbox: 0.0715, s1.loss_mask: 0.0802, s2.loss_cls: 0.0244, s2.acc: 96.2732, s2.loss_bbox: 0.0500, s2.loss_mask: 0.0383, loss: 0.8017 2022-09-16 18:12:18,474 - mmdet - INFO - Epoch [36][6350/7330] lr: 1.000e-06, eta: 0:20:07, time: 1.204, data_time: 0.025, memory: 64764, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1305, s0.loss_cls: 0.1021, s0.acc: 96.0869, s0.loss_bbox: 0.0641, s0.loss_mask: 0.1729, s1.loss_cls: 0.0465, s1.acc: 96.4478, s1.loss_bbox: 0.0766, s1.loss_mask: 0.0824, s2.loss_cls: 0.0241, s2.acc: 96.2107, s2.loss_bbox: 0.0540, s2.loss_mask: 0.0393, loss: 0.8285 2022-09-16 18:13:19,259 - mmdet - INFO - Epoch [36][6400/7330] lr: 1.000e-06, eta: 0:19:05, time: 1.215, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1351, s0.loss_cls: 0.1001, s0.acc: 96.1230, s0.loss_bbox: 0.0588, s0.loss_mask: 0.1655, s1.loss_cls: 0.0458, s1.acc: 96.4491, s1.loss_bbox: 0.0708, s1.loss_mask: 0.0786, s2.loss_cls: 0.0236, s2.acc: 96.2322, s2.loss_bbox: 0.0488, s2.loss_mask: 0.0375, loss: 0.7978 2022-09-16 18:14:19,531 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 18:14:19,531 - mmdet - INFO - Epoch [36][6450/7330] lr: 1.000e-06, eta: 0:18:04, time: 1.206, data_time: 0.031, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1240, s0.loss_cls: 0.0986, s0.acc: 96.2905, s0.loss_bbox: 0.0585, s0.loss_mask: 0.1710, s1.loss_cls: 0.0454, s1.acc: 96.6193, s1.loss_bbox: 0.0739, s1.loss_mask: 0.0820, s2.loss_cls: 0.0237, s2.acc: 96.4321, s2.loss_bbox: 0.0519, s2.loss_mask: 0.0387, loss: 0.8022 2022-09-16 18:15:21,357 - mmdet - INFO - Epoch [36][6500/7330] lr: 1.000e-06, eta: 0:17:02, time: 1.236, data_time: 0.018, memory: 64764, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0215, loss_semantic_seg: 0.1369, s0.loss_cls: 0.1024, s0.acc: 96.1360, s0.loss_bbox: 0.0593, s0.loss_mask: 0.1681, s1.loss_cls: 0.0481, s1.acc: 96.3742, s1.loss_bbox: 0.0749, s1.loss_mask: 0.0807, s2.loss_cls: 0.0248, s2.acc: 96.1879, s2.loss_bbox: 0.0531, s2.loss_mask: 0.0384, loss: 0.8225 2022-09-16 18:16:22,293 - mmdet - INFO - Epoch [36][6550/7330] lr: 1.000e-06, eta: 0:16:00, time: 1.219, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0218, loss_semantic_seg: 0.1329, s0.loss_cls: 0.1039, s0.acc: 96.0679, s0.loss_bbox: 0.0594, s0.loss_mask: 0.1669, s1.loss_cls: 0.0481, s1.acc: 96.3587, s1.loss_bbox: 0.0722, s1.loss_mask: 0.0797, s2.loss_cls: 0.0250, s2.acc: 96.1346, s2.loss_bbox: 0.0514, s2.loss_mask: 0.0381, loss: 0.8130 2022-09-16 18:17:22,668 - mmdet - INFO - Epoch [36][6600/7330] lr: 1.000e-06, eta: 0:14:59, time: 1.207, data_time: 0.020, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1347, s0.loss_cls: 0.0963, s0.acc: 96.3606, s0.loss_bbox: 0.0572, s0.loss_mask: 0.1691, s1.loss_cls: 0.0441, s1.acc: 96.6385, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0803, s2.loss_cls: 0.0229, s2.acc: 96.4854, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0384, loss: 0.7941 2022-09-16 18:18:23,438 - mmdet - INFO - Epoch [36][6650/7330] lr: 1.000e-06, eta: 0:13:57, time: 1.215, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0121, loss_rpn_bbox: 0.0190, loss_semantic_seg: 0.1292, s0.loss_cls: 0.0921, s0.acc: 96.3987, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1663, s1.loss_cls: 0.0419, s1.acc: 96.7758, s1.loss_bbox: 0.0714, s1.loss_mask: 0.0791, s2.loss_cls: 0.0224, s2.acc: 96.4740, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0375, loss: 0.7776 2022-09-16 18:19:25,674 - mmdet - INFO - Epoch [36][6700/7330] lr: 1.000e-06, eta: 0:12:56, time: 1.245, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0124, loss_rpn_bbox: 0.0198, loss_semantic_seg: 0.1317, s0.loss_cls: 0.1006, s0.acc: 96.1426, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1667, s1.loss_cls: 0.0472, s1.acc: 96.4371, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0792, s2.loss_cls: 0.0243, s2.acc: 96.2376, s2.loss_bbox: 0.0511, s2.loss_mask: 0.0380, loss: 0.8021 2022-09-16 18:20:26,759 - mmdet - INFO - Epoch [36][6750/7330] lr: 1.000e-06, eta: 0:11:54, time: 1.222, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0202, loss_semantic_seg: 0.1358, s0.loss_cls: 0.0999, s0.acc: 96.2012, s0.loss_bbox: 0.0586, s0.loss_mask: 0.1657, s1.loss_cls: 0.0457, s1.acc: 96.5433, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0796, s2.loss_cls: 0.0240, s2.acc: 96.2458, s2.loss_bbox: 0.0499, s2.loss_mask: 0.0380, loss: 0.8038 2022-09-16 18:21:27,236 - mmdet - INFO - Epoch [36][6800/7330] lr: 1.000e-06, eta: 0:10:52, time: 1.209, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0128, loss_rpn_bbox: 0.0209, loss_semantic_seg: 0.1388, s0.loss_cls: 0.0996, s0.acc: 96.1851, s0.loss_bbox: 0.0597, s0.loss_mask: 0.1734, s1.loss_cls: 0.0461, s1.acc: 96.4872, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0831, s2.loss_cls: 0.0240, s2.acc: 96.1963, s2.loss_bbox: 0.0506, s2.loss_mask: 0.0396, loss: 0.8215 2022-09-16 18:22:29,386 - mmdet - INFO - Epoch [36][6850/7330] lr: 1.000e-06, eta: 0:09:51, time: 1.244, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0207, loss_semantic_seg: 0.1299, s0.loss_cls: 0.0961, s0.acc: 96.3000, s0.loss_bbox: 0.0552, s0.loss_mask: 0.1650, s1.loss_cls: 0.0448, s1.acc: 96.5266, s1.loss_bbox: 0.0682, s1.loss_mask: 0.0787, s2.loss_cls: 0.0230, s2.acc: 96.3658, s2.loss_bbox: 0.0479, s2.loss_mask: 0.0377, loss: 0.7813 2022-09-16 18:23:30,930 - mmdet - INFO - Epoch [36][6900/7330] lr: 1.000e-06, eta: 0:08:49, time: 1.231, data_time: 0.029, memory: 64764, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1266, s0.loss_cls: 0.0930, s0.acc: 96.4153, s0.loss_bbox: 0.0559, s0.loss_mask: 0.1638, s1.loss_cls: 0.0429, s1.acc: 96.7116, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0784, s2.loss_cls: 0.0225, s2.acc: 96.4379, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0377, loss: 0.7734 2022-09-16 18:24:34,586 - mmdet - INFO - Epoch [36][6950/7330] lr: 1.000e-06, eta: 0:07:48, time: 1.273, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0136, loss_rpn_bbox: 0.0195, loss_semantic_seg: 0.1316, s0.loss_cls: 0.0969, s0.acc: 96.3262, s0.loss_bbox: 0.0571, s0.loss_mask: 0.1622, s1.loss_cls: 0.0444, s1.acc: 96.6848, s1.loss_bbox: 0.0696, s1.loss_mask: 0.0771, s2.loss_cls: 0.0228, s2.acc: 96.4960, s2.loss_bbox: 0.0482, s2.loss_mask: 0.0369, loss: 0.7798 2022-09-16 18:25:35,974 - mmdet - INFO - Epoch [36][7000/7330] lr: 1.000e-06, eta: 0:06:46, time: 1.228, data_time: 0.024, memory: 64764, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0219, loss_semantic_seg: 0.1327, s0.loss_cls: 0.0979, s0.acc: 96.2729, s0.loss_bbox: 0.0581, s0.loss_mask: 0.1662, s1.loss_cls: 0.0451, s1.acc: 96.5604, s1.loss_bbox: 0.0729, s1.loss_mask: 0.0792, s2.loss_cls: 0.0232, s2.acc: 96.4289, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0380, loss: 0.8031 2022-09-16 18:26:36,971 - mmdet - INFO - Epoch [36][7050/7330] lr: 1.000e-06, eta: 0:05:44, time: 1.220, data_time: 0.021, memory: 64764, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0203, loss_semantic_seg: 0.1336, s0.loss_cls: 0.0996, s0.acc: 96.1755, s0.loss_bbox: 0.0567, s0.loss_mask: 0.1649, s1.loss_cls: 0.0459, s1.acc: 96.5348, s1.loss_bbox: 0.0709, s1.loss_mask: 0.0789, s2.loss_cls: 0.0234, s2.acc: 96.4731, s2.loss_bbox: 0.0501, s2.loss_mask: 0.0378, loss: 0.7948 2022-09-16 18:27:37,831 - mmdet - INFO - Epoch [36][7100/7330] lr: 1.000e-06, eta: 0:04:43, time: 1.217, data_time: 0.019, memory: 64764, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0205, loss_semantic_seg: 0.1273, s0.loss_cls: 0.0983, s0.acc: 96.2578, s0.loss_bbox: 0.0582, s0.loss_mask: 0.1678, s1.loss_cls: 0.0451, s1.acc: 96.6085, s1.loss_bbox: 0.0721, s1.loss_mask: 0.0797, s2.loss_cls: 0.0237, s2.acc: 96.3412, s2.loss_bbox: 0.0496, s2.loss_mask: 0.0377, loss: 0.7940 2022-09-16 18:28:37,842 - mmdet - INFO - Epoch [36][7150/7330] lr: 1.000e-06, eta: 0:03:41, time: 1.200, data_time: 0.023, memory: 64764, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1307, s0.loss_cls: 0.0962, s0.acc: 96.3157, s0.loss_bbox: 0.0591, s0.loss_mask: 0.1688, s1.loss_cls: 0.0439, s1.acc: 96.6441, s1.loss_bbox: 0.0725, s1.loss_mask: 0.0812, s2.loss_cls: 0.0228, s2.acc: 96.5265, s2.loss_bbox: 0.0507, s2.loss_mask: 0.0385, loss: 0.7980 2022-09-16 18:29:38,655 - mmdet - INFO - Epoch [36][7200/7330] lr: 1.000e-06, eta: 0:02:40, time: 1.216, data_time: 0.027, memory: 64764, loss_rpn_cls: 0.0126, loss_rpn_bbox: 0.0193, loss_semantic_seg: 0.1245, s0.loss_cls: 0.0947, s0.acc: 96.3682, s0.loss_bbox: 0.0557, s0.loss_mask: 0.1636, s1.loss_cls: 0.0438, s1.acc: 96.6725, s1.loss_bbox: 0.0697, s1.loss_mask: 0.0784, s2.loss_cls: 0.0229, s2.acc: 96.4311, s2.loss_bbox: 0.0497, s2.loss_mask: 0.0375, loss: 0.7724 2022-09-16 18:30:41,365 - mmdet - INFO - Epoch [36][7250/7330] lr: 1.000e-06, eta: 0:01:38, time: 1.254, data_time: 0.026, memory: 64764, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0221, loss_semantic_seg: 0.1309, s0.loss_cls: 0.1000, s0.acc: 96.2383, s0.loss_bbox: 0.0615, s0.loss_mask: 0.1687, s1.loss_cls: 0.0458, s1.acc: 96.5586, s1.loss_bbox: 0.0742, s1.loss_mask: 0.0806, s2.loss_cls: 0.0236, s2.acc: 96.4083, s2.loss_bbox: 0.0513, s2.loss_mask: 0.0385, loss: 0.8117 2022-09-16 18:31:42,009 - mmdet - INFO - Epoch [36][7300/7330] lr: 1.000e-06, eta: 0:00:36, time: 1.213, data_time: 0.030, memory: 64764, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0201, loss_semantic_seg: 0.1405, s0.loss_cls: 0.0997, s0.acc: 96.1211, s0.loss_bbox: 0.0584, s0.loss_mask: 0.1697, s1.loss_cls: 0.0465, s1.acc: 96.3796, s1.loss_bbox: 0.0710, s1.loss_mask: 0.0802, s2.loss_cls: 0.0242, s2.acc: 96.2230, s2.loss_bbox: 0.0494, s2.loss_mask: 0.0381, loss: 0.8109 2022-09-16 18:32:28,953 - mmdet - INFO - Saving checkpoint at 36 epochs 2022-09-16 18:36:35,635 - mmdet - INFO - Evaluating bbox... 2022-09-16 18:37:16,810 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.588 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.773 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.645 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.452 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.622 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.726 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.747 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.623 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.782 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.870 2022-09-16 18:37:16,814 - mmdet - INFO - Evaluating segm... 2022-09-16 18:38:00,057 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.511 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.752 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.560 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.339 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.542 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.694 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.650 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.682 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.789 2022-09-16 18:38:00,862 - mmdet - INFO - Exp name: htc++_beitv2_adapter_large_fpn_3x_coco.py 2022-09-16 18:38:00,864 - mmdet - INFO - Epoch(val) [36][313] bbox_mAP: 0.5880, bbox_mAP_50: 0.7730, bbox_mAP_75: 0.6450, bbox_mAP_s: 0.4520, bbox_mAP_m: 0.6220, bbox_mAP_l: 0.7260, bbox_mAP_copypaste: 0.588 0.773 0.645 0.452 0.622 0.726, segm_mAP: 0.5110, segm_mAP_50: 0.7520, segm_mAP_75: 0.5600, segm_mAP_s: 0.3390, segm_mAP_m: 0.5420, segm_mAP_l: 0.6940, segm_mAP_copypaste: 0.511 0.752 0.560 0.339 0.542 0.694