diff --git "a/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_122534.log" "b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_122534.log" new file mode 100644--- /dev/null +++ "b/ablation/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/20230304_122534.log" @@ -0,0 +1,4346 @@ +2023-03-04 12:25:34,887 - mmseg - INFO - Multi-processing start method is `None` +2023-03-04 12:25:34,904 - mmseg - INFO - OpenCV num_threads is `128 +2023-03-04 12:25:34,904 - mmseg - INFO - OMP num threads is 1 +2023-03-04 12:25:34,954 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.16 (default, Jan 17 2023, 22:20:44) [GCC 11.2.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/petrelfs/laizeqiang/miniconda3/envs/torch +NVCC: Cuda compilation tools, release 11.6, V11.6.124 +GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) +PyTorch: 1.13.1 +PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.6 + - 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_61,code=sm_61;-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;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.6, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.13.1, 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, USE_ROCM=OFF, + +TorchVision: 0.14.1 +OpenCV: 4.7.0 +MMCV: 1.7.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.6 +MMSegmentation: 0.30.0+d4f0cb3 +------------------------------------------------------------ + +2023-03-04 12:25:34,954 - mmseg - INFO - Distributed training: True +2023-03-04 12:25:35,667 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +checkpoint = 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth' +model = dict( + type='EncoderDecoderFreeze', + freeze_parameters=['backbone', 'decode_head'], + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + backbone=dict( + type='MixVisionTransformerCustomInitWeights', + in_channels=3, + embed_dims=64, + num_stages=4, + num_layers=[3, 4, 6, 3], + num_heads=[1, 2, 5, 8], + patch_sizes=[7, 3, 3, 3], + sr_ratios=[8, 4, 2, 1], + out_indices=(0, 1, 2, 3), + mlp_ratio=4, + qkv_bias=True, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.1), + decode_head=dict( + type='SegformerHeadUnetFCHeadSingleStepMask', + pretrained= + 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth', + dim=128, + out_dim=256, + unet_channels=272, + dim_mults=[1, 1, 1], + cat_embedding_dim=16, + in_channels=[64, 128, 320, 512], + in_index=[0, 1, 2, 3], + channels=256, + dropout_ratio=0.1, + num_classes=151, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + ignore_index=0, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), + train_cfg=dict(), + test_cfg=dict(mode='whole')) +dataset_type = 'ADE20K151Dataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + 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=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=False), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=0), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + 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=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20K151Dataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + 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=16, pad_val=0, seg_pad_val=0), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', lr=0.00015, betas=[0.9, 0.96], weight_decay=0.045) +optimizer_config = dict() +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=1e-06, + step=10000, + gamma=0.5, + min_lr=1e-06, + by_epoch=False) +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict( + interval=8000, metric='mIoU', pre_eval=True, save_best='mIoU') +work_dir = './work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask' +gpu_ids = range(0, 8) +auto_resume = True + +2023-03-04 12:25:39,991 - mmseg - INFO - Set random seed to 385564379, deterministic: False +2023-03-04 12:25:40,245 - mmseg - INFO - Parameters in backbone freezed! +2023-03-04 12:25:40,246 - mmseg - INFO - Trainable parameters in SegformerHeadUnetFCHeadSingleStep: ['unet.init_conv.weight', 'unet.init_conv.bias', 'unet.time_mlp.1.weight', 'unet.time_mlp.1.bias', 'unet.time_mlp.3.weight', 'unet.time_mlp.3.bias', 'unet.downs.0.0.mlp.1.weight', 'unet.downs.0.0.mlp.1.bias', 'unet.downs.0.0.block1.proj.weight', 'unet.downs.0.0.block1.proj.bias', 'unet.downs.0.0.block1.norm.weight', 'unet.downs.0.0.block1.norm.bias', 'unet.downs.0.0.block2.proj.weight', 'unet.downs.0.0.block2.proj.bias', 'unet.downs.0.0.block2.norm.weight', 'unet.downs.0.0.block2.norm.bias', 'unet.downs.0.1.mlp.1.weight', 'unet.downs.0.1.mlp.1.bias', 'unet.downs.0.1.block1.proj.weight', 'unet.downs.0.1.block1.proj.bias', 'unet.downs.0.1.block1.norm.weight', 'unet.downs.0.1.block1.norm.bias', 'unet.downs.0.1.block2.proj.weight', 'unet.downs.0.1.block2.proj.bias', 'unet.downs.0.1.block2.norm.weight', 'unet.downs.0.1.block2.norm.bias', 'unet.downs.0.2.fn.fn.to_qkv.weight', 'unet.downs.0.2.fn.fn.to_out.0.weight', 'unet.downs.0.2.fn.fn.to_out.0.bias', 'unet.downs.0.2.fn.fn.to_out.1.g', 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'unet.mid_block1.block1.proj.weight', 'unet.mid_block1.block1.proj.bias', 'unet.mid_block1.block1.norm.weight', 'unet.mid_block1.block1.norm.bias', 'unet.mid_block1.block2.proj.weight', 'unet.mid_block1.block2.proj.bias', 'unet.mid_block1.block2.norm.weight', 'unet.mid_block1.block2.norm.bias', 'unet.mid_attn.fn.fn.to_qkv.weight', 'unet.mid_attn.fn.fn.to_out.weight', 'unet.mid_attn.fn.fn.to_out.bias', 'unet.mid_attn.fn.norm.g', 'unet.mid_block2.mlp.1.weight', 'unet.mid_block2.mlp.1.bias', 'unet.mid_block2.block1.proj.weight', 'unet.mid_block2.block1.proj.bias', 'unet.mid_block2.block1.norm.weight', 'unet.mid_block2.block1.norm.bias', 'unet.mid_block2.block2.proj.weight', 'unet.mid_block2.block2.proj.bias', 'unet.mid_block2.block2.norm.weight', 'unet.mid_block2.block2.norm.bias', 'unet.final_res_block.mlp.1.weight', 'unet.final_res_block.mlp.1.bias', 'unet.final_res_block.block1.proj.weight', 'unet.final_res_block.block1.proj.bias', 'unet.final_res_block.block1.norm.weight', 'unet.final_res_block.block1.norm.bias', 'unet.final_res_block.block2.proj.weight', 'unet.final_res_block.block2.proj.bias', 'unet.final_res_block.block2.norm.weight', 'unet.final_res_block.block2.norm.bias', 'unet.final_res_block.res_conv.weight', 'unet.final_res_block.res_conv.bias', 'unet.final_conv.weight', 'unet.final_conv.bias', 'conv_seg_new.weight', 'conv_seg_new.bias'] +2023-03-04 12:25:40,246 - mmseg - INFO - Parameters in decode_head freezed! +2023-03-04 12:25:40,267 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 12:25:40,513 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: decode_head.conv_seg.weight, decode_head.conv_seg.bias, decode_head.convs.0.conv.weight, decode_head.convs.0.bn.weight, decode_head.convs.0.bn.bias, decode_head.convs.0.bn.running_mean, decode_head.convs.0.bn.running_var, decode_head.convs.0.bn.num_batches_tracked, decode_head.convs.1.conv.weight, decode_head.convs.1.bn.weight, decode_head.convs.1.bn.bias, decode_head.convs.1.bn.running_mean, decode_head.convs.1.bn.running_var, decode_head.convs.1.bn.num_batches_tracked, decode_head.convs.2.conv.weight, decode_head.convs.2.bn.weight, decode_head.convs.2.bn.bias, decode_head.convs.2.bn.running_mean, decode_head.convs.2.bn.running_var, decode_head.convs.2.bn.num_batches_tracked, decode_head.convs.3.conv.weight, decode_head.convs.3.bn.weight, decode_head.convs.3.bn.bias, decode_head.convs.3.bn.running_mean, decode_head.convs.3.bn.running_var, decode_head.convs.3.bn.num_batches_tracked, decode_head.fusion_conv.conv.weight, decode_head.fusion_conv.bn.weight, decode_head.fusion_conv.bn.bias, decode_head.fusion_conv.bn.running_mean, decode_head.fusion_conv.bn.running_var, decode_head.fusion_conv.bn.num_batches_tracked + +2023-03-04 12:25:40,526 - mmseg - INFO - load checkpoint from local path: pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth +2023-03-04 12:25:40,741 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: backbone.layers.0.0.projection.weight, backbone.layers.0.0.projection.bias, backbone.layers.0.0.norm.weight, backbone.layers.0.0.norm.bias, backbone.layers.0.1.0.norm1.weight, backbone.layers.0.1.0.norm1.bias, backbone.layers.0.1.0.attn.attn.in_proj_weight, backbone.layers.0.1.0.attn.attn.in_proj_bias, backbone.layers.0.1.0.attn.attn.out_proj.weight, backbone.layers.0.1.0.attn.attn.out_proj.bias, backbone.layers.0.1.0.attn.sr.weight, backbone.layers.0.1.0.attn.sr.bias, backbone.layers.0.1.0.attn.norm.weight, backbone.layers.0.1.0.attn.norm.bias, backbone.layers.0.1.0.norm2.weight, backbone.layers.0.1.0.norm2.bias, backbone.layers.0.1.0.ffn.layers.0.weight, backbone.layers.0.1.0.ffn.layers.0.bias, backbone.layers.0.1.0.ffn.layers.1.weight, 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(4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (5): TransformerEncoderLayer( + (norm1): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=320, out_features=320, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + (sr): Conv2d(320, 320, kernel_size=(2, 2), stride=(2, 2)) + (norm): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (norm2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(320, 1280, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(1280, 1280, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=1280) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(1280, 320, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((320,), eps=1e-06, elementwise_affine=True) + ) + (3): ModuleList( + (0): PatchEmbed( + (projection): Conv2d(320, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1)) + (norm): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + (1): ModuleList( + (0): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (1): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + (2): TransformerEncoderLayer( + (norm1): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (attn): EfficientMultiheadAttention( + (attn): MultiheadAttention( + (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) + ) + (proj_drop): Dropout(p=0.0, inplace=False) + (dropout_layer): DropPath() + ) + (norm2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + (ffn): MixFFN( + (activate): GELU(approximate='none') + (layers): Sequential( + (0): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1)) + (1): Conv2d(2048, 2048, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=2048) + (2): GELU(approximate='none') + (3): Dropout(p=0.0, inplace=False) + (4): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1)) + (5): Dropout(p=0.0, inplace=False) + ) + (dropout_layer): DropPath() + ) + ) + ) + (2): LayerNorm((512,), eps=1e-06, elementwise_affine=True) + ) + ) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} + (decode_head): SegformerHeadUnetFCHeadSingleStepMask( + input_transform=multiple_select, ignore_index=0, align_corners=False + (loss_decode): CrossEntropyLoss(avg_non_ignore=False) + (conv_seg): None + (dropout): Dropout2d(p=0.1, inplace=False) + (convs): ModuleList( + (0): ConvModule( + (conv): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (1): ConvModule( + (conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (2): ConvModule( + (conv): Conv2d(320, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (3): ConvModule( + (conv): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + ) + (fusion_conv): ConvModule( + (conv): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False) + (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (activate): ReLU(inplace=True) + ) + (unet): Unet( + (init_conv): Conv2d(272, 128, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3)) + (time_mlp): Sequential( + (0): SinusoidalPosEmb() + (1): Linear(in_features=128, out_features=512, bias=True) + (2): GELU(approximate='none') + (3): Linear(in_features=512, out_features=512, bias=True) + ) + (downs): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (ups): ModuleList( + (0): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (1): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Sequential( + (0): Upsample(scale_factor=2.0, mode=nearest) + (1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (2): ModuleList( + (0): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (2): Residual( + (fn): PreNorm( + (fn): LinearAttention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Sequential( + (0): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + (1): LayerNorm() + ) + ) + (norm): LayerNorm() + ) + ) + (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) + (mid_block1): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (mid_attn): Residual( + (fn): PreNorm( + (fn): Attention( + (to_qkv): Conv2d(128, 384, kernel_size=(1, 1), stride=(1, 1), bias=False) + (to_out): Conv2d(128, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (norm): LayerNorm() + ) + ) + (mid_block2): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Identity() + ) + (final_res_block): ResnetBlock( + (mlp): Sequential( + (0): SiLU() + (1): Linear(in_features=512, out_features=256, bias=True) + ) + (block1): Block( + (proj): WeightStandardizedConv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (block2): Block( + (proj): WeightStandardizedConv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (norm): GroupNorm(8, 128, eps=1e-05, affine=True) + (act): SiLU() + ) + (res_conv): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1)) + ) + (final_conv): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1)) + ) + (conv_seg_new): Conv2d(256, 151, kernel_size=(1, 1), stride=(1, 1)) + (embed): Embedding(152, 16) + ) + init_cfg={'type': 'Pretrained', 'checkpoint': 'pretrained/segformer_mit-b2_512x512_160k_ade20k_20220620_114047-64e4feca.pth'} +) +2023-03-04 12:25:41,610 - mmseg - INFO - Loaded 20210 images +2023-03-04 12:25:42,658 - mmseg - INFO - Loaded 2000 images +2023-03-04 12:25:42,659 - mmseg - INFO - load checkpoint from local path: ./work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/latest.pth +2023-03-04 12:25:43,310 - mmseg - INFO - resumed from epoch: 13, iter 7999 +2023-03-04 12:25:43,311 - mmseg - INFO - Start running, host: laizeqiang@SH-IDC1-10-140-37-132, work_dir: /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask +2023-03-04 12:25:43,312 - mmseg - 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 +(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: +(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 + -------------------- +2023-03-04 12:25:43,312 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters +2023-03-04 12:25:43,312 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask by HardDiskBackend. +2023-03-04 12:26:14,612 - mmseg - INFO - Saving checkpoint at 8000 iterations +2023-03-04 12:26:15,283 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:26:15,283 - mmseg - INFO - Iter [8000/80000] lr: 1.500e-04, eta: 262 days, 3:46:36, time: 6.292, data_time: 0.533, memory: 19870, decode.loss_ce: 0.1786, decode.acc_seg: 91.5033, loss: 0.1786 +2023-03-04 12:30:06,281 - mmseg - INFO - per class results: +2023-03-04 12:30:06,287 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 75.48 | 85.12 | +| building | 80.89 | 90.76 | +| sky | 94.15 | 97.13 | +| floor | 80.09 | 91.07 | +| tree | 73.14 | 86.33 | +| ceiling | 81.51 | 94.96 | +| road | 80.47 | 88.3 | +| bed | 86.26 | 93.61 | +| windowpane | 58.79 | 74.88 | +| grass | 65.63 | 81.55 | +| cabinet | 57.61 | 66.92 | +| sidewalk | 61.69 | 80.91 | +| person | 77.96 | 91.84 | +| earth | 37.07 | 54.8 | +| door | 45.06 | 61.59 | +| table | 56.3 | 74.0 | +| mountain | 57.23 | 71.87 | +| plant | 48.35 | 57.42 | +| curtain | 70.95 | 86.64 | +| chair | 52.71 | 66.31 | +| car | 79.34 | 92.85 | +| water | 57.99 | 74.38 | +| painting | 69.47 | 85.59 | +| sofa | 61.56 | 79.74 | +| shelf | 41.78 | 57.45 | +| house | 42.99 | 66.99 | +| sea | 60.92 | 77.27 | +| mirror | 62.24 | 72.81 | +| rug | 61.65 | 72.08 | +| field | 30.11 | 45.73 | +| armchair | 35.2 | 50.92 | +| seat | 64.06 | 83.27 | +| fence | 41.06 | 55.87 | +| desk | 44.1 | 67.18 | +| rock | 36.65 | 60.42 | +| wardrobe | 55.48 | 68.04 | +| lamp | 56.27 | 73.96 | +| bathtub | 72.4 | 83.18 | +| railing | 32.69 | 53.25 | +| cushion | 53.0 | 73.95 | +| base | 17.48 | 20.35 | +| box | 20.53 | 25.15 | +| column | 42.86 | 58.77 | +| signboard | 36.01 | 47.89 | +| chest of drawers | 35.71 | 62.84 | +| counter | 30.76 | 41.39 | +| sand | 36.66 | 47.04 | +| sink | 63.08 | 76.73 | +| skyscraper | 53.56 | 68.43 | +| fireplace | 72.34 | 83.53 | +| refrigerator | 71.78 | 82.06 | +| grandstand | 47.43 | 65.79 | +| path | 23.57 | 33.78 | +| stairs | 32.43 | 39.04 | +| runway | 63.35 | 80.54 | +| case | 49.83 | 60.05 | +| pool table | 90.19 | 93.84 | +| pillow | 55.31 | 66.24 | +| screen door | 67.11 | 76.19 | +| stairway | 23.33 | 41.49 | +| river | 10.67 | 19.89 | +| bridge | 33.54 | 39.58 | +| bookcase | 37.25 | 78.62 | +| blind | 46.16 | 56.91 | +| coffee table | 50.0 | 79.66 | +| toilet | 81.62 | 88.88 | +| flower | 37.61 | 53.81 | +| book | 33.36 | 51.38 | +| hill | 12.06 | 15.37 | +| bench | 40.58 | 53.93 | +| countertop | 51.58 | 67.13 | +| stove | 67.93 | 84.23 | +| palm | 48.04 | 68.09 | +| kitchen island | 35.21 | 59.36 | +| computer | 58.81 | 68.39 | +| swivel chair | 37.11 | 47.08 | +| boat | 66.36 | 84.28 | +| bar | 23.84 | 33.68 | +| arcade machine | 71.8 | 75.5 | +| hovel | 24.19 | 26.48 | +| bus | 72.83 | 89.61 | +| towel | 58.02 | 66.16 | +| light | 49.51 | 57.68 | +| truck | 13.91 | 18.09 | +| tower | 8.44 | 13.16 | +| chandelier | 57.75 | 83.57 | +| awning | 21.88 | 30.12 | +| streetlight | 23.33 | 31.24 | +| booth | 36.05 | 37.06 | +| television receiver | 59.4 | 82.05 | +| airplane | 57.11 | 64.31 | +| dirt track | 10.33 | 20.06 | +| apparel | 33.63 | 55.39 | +| pole | 18.24 | 23.62 | +| land | 2.78 | 3.66 | +| bannister | 10.54 | 15.12 | +| escalator | 22.43 | 23.32 | +| ottoman | 38.16 | 57.67 | +| bottle | 34.37 | 58.43 | +| buffet | 43.91 | 51.55 | +| poster | 24.32 | 29.89 | +| stage | 12.57 | 15.89 | +| van | 37.37 | 46.11 | +| ship | 65.48 | 72.29 | +| fountain | 24.46 | 25.47 | +| conveyer belt | 75.41 | 92.01 | +| canopy | 20.43 | 24.3 | +| washer | 77.63 | 79.81 | +| plaything | 20.7 | 34.17 | +| swimming pool | 74.14 | 84.25 | +| stool | 37.15 | 50.65 | +| barrel | 24.05 | 55.56 | +| basket | 22.89 | 41.3 | +| waterfall | 52.11 | 84.85 | +| tent | 93.79 | 97.96 | +| bag | 14.19 | 18.2 | +| minibike | 55.32 | 70.25 | +| cradle | 81.89 | 96.29 | +| oven | 39.13 | 50.46 | +| ball | 51.19 | 61.97 | +| food | 50.08 | 58.17 | +| step | 10.35 | 14.59 | +| tank | 50.16 | 55.65 | +| trade name | 28.22 | 35.31 | +| microwave | 71.34 | 84.13 | +| pot | 31.49 | 40.74 | +| animal | 51.58 | 61.63 | +| bicycle | 51.99 | 67.84 | +| lake | 56.99 | 62.74 | +| dishwasher | 60.33 | 75.33 | +| screen | 65.83 | 83.36 | +| blanket | 16.31 | 19.74 | +| sculpture | 57.89 | 76.6 | +| hood | 52.06 | 70.38 | +| sconce | 40.95 | 52.76 | +| vase | 32.46 | 48.15 | +| traffic light | 31.17 | 44.1 | +| tray | 5.0 | 7.18 | +| ashcan | 40.6 | 47.06 | +| fan | 53.32 | 65.78 | +| pier | 28.86 | 67.06 | +| crt screen | 7.44 | 23.56 | +| plate | 47.36 | 73.59 | +| monitor | 8.18 | 9.08 | +| bulletin board | 32.71 | 37.13 | +| shower | 1.31 | 4.62 | +| radiator | 54.92 | 73.03 | +| glass | 10.89 | 11.97 | +| clock | 29.85 | 39.96 | +| flag | 32.34 | 35.26 | ++---------------------+-------+-------+ +2023-03-04 12:30:06,287 - mmseg - INFO - Summary: +2023-03-04 12:30:06,287 - mmseg - INFO - ++-------+-------+------+ +| aAcc | mIoU | mAcc | ++-------+-------+------+ +| 81.53 | 45.93 | 58.5 | ++-------+-------+------+ +2023-03-04 12:30:06,953 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_8000.pth. +2023-03-04 12:30:06,954 - mmseg - INFO - Best mIoU is 0.4593 at 8000 iter. +2023-03-04 12:30:06,954 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:30:06,954 - mmseg - INFO - Iter(val) [250] aAcc: 0.8153, mIoU: 0.4593, mAcc: 0.5850, IoU.background: nan, IoU.wall: 0.7548, IoU.building: 0.8089, IoU.sky: 0.9415, IoU.floor: 0.8009, IoU.tree: 0.7314, IoU.ceiling: 0.8151, IoU.road: 0.8047, IoU.bed : 0.8626, IoU.windowpane: 0.5879, IoU.grass: 0.6563, IoU.cabinet: 0.5761, IoU.sidewalk: 0.6169, IoU.person: 0.7796, IoU.earth: 0.3707, IoU.door: 0.4506, IoU.table: 0.5630, IoU.mountain: 0.5723, IoU.plant: 0.4835, IoU.curtain: 0.7095, IoU.chair: 0.5271, IoU.car: 0.7934, IoU.water: 0.5799, IoU.painting: 0.6947, IoU.sofa: 0.6156, IoU.shelf: 0.4178, IoU.house: 0.4299, IoU.sea: 0.6092, IoU.mirror: 0.6224, IoU.rug: 0.6165, IoU.field: 0.3011, IoU.armchair: 0.3520, IoU.seat: 0.6406, IoU.fence: 0.4106, IoU.desk: 0.4410, IoU.rock: 0.3665, IoU.wardrobe: 0.5548, IoU.lamp: 0.5627, IoU.bathtub: 0.7240, IoU.railing: 0.3269, IoU.cushion: 0.5300, IoU.base: 0.1748, IoU.box: 0.2053, IoU.column: 0.4286, IoU.signboard: 0.3601, IoU.chest of drawers: 0.3571, IoU.counter: 0.3076, IoU.sand: 0.3666, IoU.sink: 0.6308, IoU.skyscraper: 0.5356, IoU.fireplace: 0.7234, IoU.refrigerator: 0.7178, IoU.grandstand: 0.4743, IoU.path: 0.2357, IoU.stairs: 0.3243, IoU.runway: 0.6335, IoU.case: 0.4983, IoU.pool table: 0.9019, IoU.pillow: 0.5531, IoU.screen door: 0.6711, IoU.stairway: 0.2333, IoU.river: 0.1067, IoU.bridge: 0.3354, IoU.bookcase: 0.3725, IoU.blind: 0.4616, IoU.coffee table: 0.5000, IoU.toilet: 0.8162, IoU.flower: 0.3761, IoU.book: 0.3336, IoU.hill: 0.1206, IoU.bench: 0.4058, IoU.countertop: 0.5158, IoU.stove: 0.6793, IoU.palm: 0.4804, IoU.kitchen island: 0.3521, IoU.computer: 0.5881, IoU.swivel chair: 0.3711, IoU.boat: 0.6636, IoU.bar: 0.2384, IoU.arcade machine: 0.7180, IoU.hovel: 0.2419, IoU.bus: 0.7283, IoU.towel: 0.5802, IoU.light: 0.4951, IoU.truck: 0.1391, IoU.tower: 0.0844, IoU.chandelier: 0.5775, IoU.awning: 0.2188, IoU.streetlight: 0.2333, IoU.booth: 0.3605, IoU.television receiver: 0.5940, IoU.airplane: 0.5711, IoU.dirt track: 0.1033, IoU.apparel: 0.3363, IoU.pole: 0.1824, IoU.land: 0.0278, IoU.bannister: 0.1054, IoU.escalator: 0.2243, IoU.ottoman: 0.3816, IoU.bottle: 0.3437, IoU.buffet: 0.4391, IoU.poster: 0.2432, IoU.stage: 0.1257, IoU.van: 0.3737, IoU.ship: 0.6548, IoU.fountain: 0.2446, IoU.conveyer belt: 0.7541, IoU.canopy: 0.2043, IoU.washer: 0.7763, IoU.plaything: 0.2070, IoU.swimming pool: 0.7414, IoU.stool: 0.3715, IoU.barrel: 0.2405, IoU.basket: 0.2289, IoU.waterfall: 0.5211, IoU.tent: 0.9379, IoU.bag: 0.1419, IoU.minibike: 0.5532, IoU.cradle: 0.8189, IoU.oven: 0.3913, IoU.ball: 0.5119, IoU.food: 0.5008, IoU.step: 0.1035, IoU.tank: 0.5016, IoU.trade name: 0.2822, IoU.microwave: 0.7134, IoU.pot: 0.3149, IoU.animal: 0.5158, IoU.bicycle: 0.5199, IoU.lake: 0.5699, IoU.dishwasher: 0.6033, IoU.screen: 0.6583, IoU.blanket: 0.1631, IoU.sculpture: 0.5789, IoU.hood: 0.5206, IoU.sconce: 0.4095, IoU.vase: 0.3246, IoU.traffic light: 0.3117, IoU.tray: 0.0500, IoU.ashcan: 0.4060, IoU.fan: 0.5332, IoU.pier: 0.2886, IoU.crt screen: 0.0744, IoU.plate: 0.4736, IoU.monitor: 0.0818, IoU.bulletin board: 0.3271, IoU.shower: 0.0131, IoU.radiator: 0.5492, IoU.glass: 0.1089, IoU.clock: 0.2985, IoU.flag: 0.3234, Acc.background: nan, Acc.wall: 0.8512, Acc.building: 0.9076, Acc.sky: 0.9713, Acc.floor: 0.9107, Acc.tree: 0.8633, Acc.ceiling: 0.9496, Acc.road: 0.8830, Acc.bed : 0.9361, Acc.windowpane: 0.7488, Acc.grass: 0.8155, Acc.cabinet: 0.6692, Acc.sidewalk: 0.8091, Acc.person: 0.9184, Acc.earth: 0.5480, Acc.door: 0.6159, Acc.table: 0.7400, Acc.mountain: 0.7187, Acc.plant: 0.5742, Acc.curtain: 0.8664, Acc.chair: 0.6631, Acc.car: 0.9285, Acc.water: 0.7438, Acc.painting: 0.8559, Acc.sofa: 0.7974, Acc.shelf: 0.5745, Acc.house: 0.6699, Acc.sea: 0.7727, Acc.mirror: 0.7281, Acc.rug: 0.7208, Acc.field: 0.4573, Acc.armchair: 0.5092, Acc.seat: 0.8327, Acc.fence: 0.5587, Acc.desk: 0.6718, Acc.rock: 0.6042, Acc.wardrobe: 0.6804, Acc.lamp: 0.7396, Acc.bathtub: 0.8318, Acc.railing: 0.5325, Acc.cushion: 0.7395, Acc.base: 0.2035, Acc.box: 0.2515, Acc.column: 0.5877, Acc.signboard: 0.4789, Acc.chest of drawers: 0.6284, Acc.counter: 0.4139, Acc.sand: 0.4704, Acc.sink: 0.7673, Acc.skyscraper: 0.6843, Acc.fireplace: 0.8353, Acc.refrigerator: 0.8206, Acc.grandstand: 0.6579, Acc.path: 0.3378, Acc.stairs: 0.3904, Acc.runway: 0.8054, Acc.case: 0.6005, Acc.pool table: 0.9384, Acc.pillow: 0.6624, Acc.screen door: 0.7619, Acc.stairway: 0.4149, Acc.river: 0.1989, Acc.bridge: 0.3958, Acc.bookcase: 0.7862, Acc.blind: 0.5691, Acc.coffee table: 0.7966, Acc.toilet: 0.8888, Acc.flower: 0.5381, Acc.book: 0.5138, Acc.hill: 0.1537, Acc.bench: 0.5393, Acc.countertop: 0.6713, Acc.stove: 0.8423, Acc.palm: 0.6809, Acc.kitchen island: 0.5936, Acc.computer: 0.6839, Acc.swivel chair: 0.4708, Acc.boat: 0.8428, Acc.bar: 0.3368, Acc.arcade machine: 0.7550, Acc.hovel: 0.2648, Acc.bus: 0.8961, Acc.towel: 0.6616, Acc.light: 0.5768, Acc.truck: 0.1809, Acc.tower: 0.1316, Acc.chandelier: 0.8357, Acc.awning: 0.3012, Acc.streetlight: 0.3124, Acc.booth: 0.3706, Acc.television receiver: 0.8205, Acc.airplane: 0.6431, Acc.dirt track: 0.2006, Acc.apparel: 0.5539, Acc.pole: 0.2362, Acc.land: 0.0366, Acc.bannister: 0.1512, Acc.escalator: 0.2332, Acc.ottoman: 0.5767, Acc.bottle: 0.5843, Acc.buffet: 0.5155, Acc.poster: 0.2989, Acc.stage: 0.1589, Acc.van: 0.4611, Acc.ship: 0.7229, Acc.fountain: 0.2547, Acc.conveyer belt: 0.9201, Acc.canopy: 0.2430, Acc.washer: 0.7981, Acc.plaything: 0.3417, Acc.swimming pool: 0.8425, Acc.stool: 0.5065, Acc.barrel: 0.5556, Acc.basket: 0.4130, Acc.waterfall: 0.8485, Acc.tent: 0.9796, Acc.bag: 0.1820, Acc.minibike: 0.7025, Acc.cradle: 0.9629, Acc.oven: 0.5046, Acc.ball: 0.6197, Acc.food: 0.5817, Acc.step: 0.1459, Acc.tank: 0.5565, Acc.trade name: 0.3531, Acc.microwave: 0.8413, Acc.pot: 0.4074, Acc.animal: 0.6163, Acc.bicycle: 0.6784, Acc.lake: 0.6274, Acc.dishwasher: 0.7533, Acc.screen: 0.8336, Acc.blanket: 0.1974, Acc.sculpture: 0.7660, Acc.hood: 0.7038, Acc.sconce: 0.5276, Acc.vase: 0.4815, Acc.traffic light: 0.4410, Acc.tray: 0.0718, Acc.ashcan: 0.4706, Acc.fan: 0.6578, Acc.pier: 0.6706, Acc.crt screen: 0.2356, Acc.plate: 0.7359, Acc.monitor: 0.0908, Acc.bulletin board: 0.3713, Acc.shower: 0.0462, Acc.radiator: 0.7303, Acc.glass: 0.1197, Acc.clock: 0.3996, Acc.flag: 0.3526 +2023-03-04 12:30:17,045 - mmseg - INFO - Iter [8050/80000] lr: 1.500e-04, eta: 9 days, 2:01:09, time: 4.835, data_time: 4.640, memory: 52403, decode.loss_ce: 0.2351, decode.acc_seg: 90.5258, loss: 0.2351 +2023-03-04 12:30:26,159 - mmseg - INFO - Iter [8100/80000] lr: 1.500e-04, eta: 4 days, 15:49:02, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 90.9858, loss: 0.2191 +2023-03-04 12:30:35,631 - mmseg - INFO - Iter [8150/80000] lr: 1.500e-04, eta: 3 days, 3:59:30, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2308, decode.acc_seg: 90.5657, loss: 0.2308 +2023-03-04 12:30:44,807 - mmseg - INFO - Iter [8200/80000] lr: 1.500e-04, eta: 2 days, 9:57:28, time: 0.183, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2506, decode.acc_seg: 89.9352, loss: 0.2506 +2023-03-04 12:30:54,207 - mmseg - INFO - Iter [8250/80000] lr: 1.500e-04, eta: 1 day, 23:07:38, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2364, decode.acc_seg: 90.3759, loss: 0.2364 +2023-03-04 12:31:02,860 - mmseg - INFO - Iter [8300/80000] lr: 1.500e-04, eta: 1 day, 15:50:35, time: 0.173, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2435, decode.acc_seg: 90.2294, loss: 0.2435 +2023-03-04 12:31:11,951 - mmseg - INFO - Iter [8350/80000] lr: 1.500e-04, eta: 1 day, 10:39:35, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2397, decode.acc_seg: 90.5355, loss: 0.2397 +2023-03-04 12:31:20,933 - mmseg - INFO - Iter [8400/80000] lr: 1.500e-04, eta: 1 day, 6:45:45, time: 0.180, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2252, decode.acc_seg: 90.6968, loss: 0.2252 +2023-03-04 12:31:30,105 - mmseg - INFO - Iter [8450/80000] lr: 1.500e-04, eta: 1 day, 3:44:13, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2317, decode.acc_seg: 90.6442, loss: 0.2317 +2023-03-04 12:31:39,236 - mmseg - INFO - Iter [8500/80000] lr: 1.500e-04, eta: 1 day, 1:18:46, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2361, decode.acc_seg: 90.3837, loss: 0.2361 +2023-03-04 12:31:47,982 - mmseg - INFO - Iter [8550/80000] lr: 1.500e-04, eta: 23:18:53, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2224, decode.acc_seg: 90.8649, loss: 0.2224 +2023-03-04 12:31:57,057 - mmseg - INFO - Iter [8600/80000] lr: 1.500e-04, eta: 21:39:36, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2291, decode.acc_seg: 90.6181, loss: 0.2291 +2023-03-04 12:32:08,232 - mmseg - INFO - Iter [8650/80000] lr: 1.500e-04, eta: 20:19:21, time: 0.223, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2335, decode.acc_seg: 90.5176, loss: 0.2335 +2023-03-04 12:32:17,087 - mmseg - INFO - Iter [8700/80000] lr: 1.500e-04, eta: 19:06:36, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2249, decode.acc_seg: 90.8250, loss: 0.2249 +2023-03-04 12:32:25,869 - mmseg - INFO - Iter [8750/80000] lr: 1.500e-04, eta: 18:03:23, time: 0.175, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2380, decode.acc_seg: 90.2980, loss: 0.2380 +2023-03-04 12:32:34,903 - mmseg - INFO - Iter [8800/80000] lr: 1.500e-04, eta: 17:08:26, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2237, decode.acc_seg: 90.7110, loss: 0.2237 +2023-03-04 12:32:43,734 - mmseg - INFO - Iter [8850/80000] lr: 1.500e-04, eta: 16:19:38, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2212, decode.acc_seg: 90.9923, loss: 0.2212 +2023-03-04 12:32:52,521 - mmseg - INFO - Iter [8900/80000] lr: 1.500e-04, eta: 15:36:11, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2275, decode.acc_seg: 90.6902, loss: 0.2275 +2023-03-04 12:33:01,574 - mmseg - INFO - Iter [8950/80000] lr: 1.500e-04, eta: 14:57:36, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2343, decode.acc_seg: 90.3780, loss: 0.2343 +2023-03-04 12:33:10,437 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:33:10,438 - mmseg - INFO - Iter [9000/80000] lr: 1.500e-04, eta: 14:22:39, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2338, decode.acc_seg: 90.5482, loss: 0.2338 +2023-03-04 12:33:19,524 - mmseg - INFO - Iter [9050/80000] lr: 1.500e-04, eta: 13:51:15, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2333, decode.acc_seg: 90.5324, loss: 0.2333 +2023-03-04 12:33:28,405 - mmseg - INFO - Iter [9100/80000] lr: 1.500e-04, eta: 13:22:29, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2247, decode.acc_seg: 90.7191, loss: 0.2247 +2023-03-04 12:33:37,370 - mmseg - INFO - Iter [9150/80000] lr: 1.500e-04, eta: 12:56:16, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2321, decode.acc_seg: 90.5515, loss: 0.2321 +2023-03-04 12:33:46,399 - mmseg - INFO - Iter [9200/80000] lr: 1.500e-04, eta: 12:32:18, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2274, decode.acc_seg: 90.7200, loss: 0.2274 +2023-03-04 12:33:55,497 - mmseg - INFO - Iter [9250/80000] lr: 1.500e-04, eta: 12:10:18, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2299, decode.acc_seg: 90.7085, loss: 0.2299 +2023-03-04 12:34:07,420 - mmseg - INFO - Iter [9300/80000] lr: 1.500e-04, eta: 11:52:32, time: 0.238, data_time: 0.051, memory: 52403, decode.loss_ce: 0.2268, decode.acc_seg: 90.8611, loss: 0.2268 +2023-03-04 12:34:16,025 - mmseg - INFO - Iter [9350/80000] lr: 1.500e-04, eta: 11:33:10, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2294, decode.acc_seg: 90.7571, loss: 0.2294 +2023-03-04 12:34:24,860 - mmseg - INFO - Iter [9400/80000] lr: 1.500e-04, eta: 11:15:22, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2321, decode.acc_seg: 90.4776, loss: 0.2321 +2023-03-04 12:34:34,170 - mmseg - INFO - Iter [9450/80000] lr: 1.500e-04, eta: 10:59:11, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2312, decode.acc_seg: 90.5208, loss: 0.2312 +2023-03-04 12:34:42,847 - mmseg - INFO - Iter [9500/80000] lr: 1.500e-04, eta: 10:43:34, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2362, decode.acc_seg: 90.3839, loss: 0.2362 +2023-03-04 12:34:52,099 - mmseg - INFO - Iter [9550/80000] lr: 1.500e-04, eta: 10:29:23, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2303, decode.acc_seg: 90.5815, loss: 0.2303 +2023-03-04 12:35:01,319 - mmseg - INFO - Iter [9600/80000] lr: 1.500e-04, eta: 10:16:03, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2152, decode.acc_seg: 91.3131, loss: 0.2152 +2023-03-04 12:35:10,413 - mmseg - INFO - Iter [9650/80000] lr: 1.500e-04, eta: 10:03:26, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2240, decode.acc_seg: 90.8489, loss: 0.2240 +2023-03-04 12:35:19,233 - mmseg - INFO - Iter [9700/80000] lr: 1.500e-04, eta: 9:51:21, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2334, decode.acc_seg: 90.4882, loss: 0.2334 +2023-03-04 12:35:27,951 - mmseg - INFO - Iter [9750/80000] lr: 1.500e-04, eta: 9:39:53, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2300, decode.acc_seg: 90.7954, loss: 0.2300 +2023-03-04 12:35:37,291 - mmseg - INFO - Iter [9800/80000] lr: 1.500e-04, eta: 9:29:27, time: 0.187, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2249, decode.acc_seg: 90.6391, loss: 0.2249 +2023-03-04 12:35:46,183 - mmseg - INFO - Iter [9850/80000] lr: 1.500e-04, eta: 9:19:17, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2311, decode.acc_seg: 90.5298, loss: 0.2311 +2023-03-04 12:35:57,901 - mmseg - INFO - Iter [9900/80000] lr: 1.500e-04, eta: 9:11:24, time: 0.235, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2297, decode.acc_seg: 90.6676, loss: 0.2297 +2023-03-04 12:36:06,806 - mmseg - INFO - Iter [9950/80000] lr: 1.500e-04, eta: 9:02:13, time: 0.178, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2375, decode.acc_seg: 90.3545, loss: 0.2375 +2023-03-04 12:36:15,497 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:36:15,498 - mmseg - INFO - Iter [10000/80000] lr: 1.500e-04, eta: 8:53:21, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2258, decode.acc_seg: 90.8431, loss: 0.2258 +2023-03-04 12:36:24,477 - mmseg - INFO - Iter [10050/80000] lr: 7.500e-05, eta: 8:45:05, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2129, decode.acc_seg: 91.1262, loss: 0.2129 +2023-03-04 12:36:33,631 - mmseg - INFO - Iter [10100/80000] lr: 7.500e-05, eta: 8:37:18, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2228, decode.acc_seg: 91.0076, loss: 0.2228 +2023-03-04 12:36:42,746 - mmseg - INFO - Iter [10150/80000] lr: 7.500e-05, eta: 8:29:50, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2113, decode.acc_seg: 91.3031, loss: 0.2113 +2023-03-04 12:36:51,323 - mmseg - INFO - Iter [10200/80000] lr: 7.500e-05, eta: 8:22:26, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2186, decode.acc_seg: 91.1918, loss: 0.2186 +2023-03-04 12:37:00,783 - mmseg - INFO - Iter [10250/80000] lr: 7.500e-05, eta: 8:15:49, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2175, decode.acc_seg: 91.1390, loss: 0.2175 +2023-03-04 12:37:09,864 - mmseg - INFO - Iter [10300/80000] lr: 7.500e-05, eta: 8:09:16, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2171, decode.acc_seg: 91.1028, loss: 0.2171 +2023-03-04 12:37:18,764 - mmseg - INFO - Iter [10350/80000] lr: 7.500e-05, eta: 8:02:55, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2170, decode.acc_seg: 91.1114, loss: 0.2170 +2023-03-04 12:37:27,564 - mmseg - INFO - Iter [10400/80000] lr: 7.500e-05, eta: 7:56:46, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2174, decode.acc_seg: 90.8543, loss: 0.2174 +2023-03-04 12:37:36,422 - mmseg - INFO - Iter [10450/80000] lr: 7.500e-05, eta: 7:50:54, time: 0.177, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2245, decode.acc_seg: 90.9000, loss: 0.2245 +2023-03-04 12:37:45,178 - mmseg - INFO - Iter [10500/80000] lr: 7.500e-05, eta: 7:45:12, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2301, decode.acc_seg: 90.6147, loss: 0.2301 +2023-03-04 12:37:56,766 - mmseg - INFO - Iter [10550/80000] lr: 7.500e-05, eta: 7:41:01, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2063, decode.acc_seg: 91.5741, loss: 0.2063 +2023-03-04 12:38:05,520 - mmseg - INFO - Iter [10600/80000] lr: 7.500e-05, eta: 7:35:43, time: 0.175, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2167, decode.acc_seg: 91.0434, loss: 0.2167 +2023-03-04 12:38:14,275 - mmseg - INFO - Iter [10650/80000] lr: 7.500e-05, eta: 7:30:37, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2181, decode.acc_seg: 91.0714, loss: 0.2181 +2023-03-04 12:38:23,234 - mmseg - INFO - Iter [10700/80000] lr: 7.500e-05, eta: 7:25:47, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2141, decode.acc_seg: 91.2133, loss: 0.2141 +2023-03-04 12:38:32,327 - mmseg - INFO - Iter [10750/80000] lr: 7.500e-05, eta: 7:21:11, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2244, decode.acc_seg: 90.8300, loss: 0.2244 +2023-03-04 12:38:41,627 - mmseg - INFO - Iter [10800/80000] lr: 7.500e-05, eta: 7:16:50, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.2679, loss: 0.2096 +2023-03-04 12:38:50,252 - mmseg - INFO - Iter [10850/80000] lr: 7.500e-05, eta: 7:12:21, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2239, decode.acc_seg: 90.9588, loss: 0.2239 +2023-03-04 12:38:58,936 - mmseg - INFO - Iter [10900/80000] lr: 7.500e-05, eta: 7:08:02, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2171, decode.acc_seg: 91.1087, loss: 0.2171 +2023-03-04 12:39:08,115 - mmseg - INFO - Iter [10950/80000] lr: 7.500e-05, eta: 7:04:03, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2219, decode.acc_seg: 91.0905, loss: 0.2219 +2023-03-04 12:39:16,978 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:39:16,978 - mmseg - INFO - Iter [11000/80000] lr: 7.500e-05, eta: 7:00:05, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2178, decode.acc_seg: 91.1533, loss: 0.2178 +2023-03-04 12:39:25,717 - mmseg - INFO - Iter [11050/80000] lr: 7.500e-05, eta: 6:56:12, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2142, decode.acc_seg: 91.2575, loss: 0.2142 +2023-03-04 12:39:34,292 - mmseg - INFO - Iter [11100/80000] lr: 7.500e-05, eta: 6:52:22, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.4849, loss: 0.2090 +2023-03-04 12:39:43,967 - mmseg - INFO - Iter [11150/80000] lr: 7.500e-05, eta: 6:49:03, time: 0.194, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2207, decode.acc_seg: 90.8234, loss: 0.2207 +2023-03-04 12:39:55,317 - mmseg - INFO - Iter [11200/80000] lr: 7.500e-05, eta: 6:46:26, time: 0.227, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2152, decode.acc_seg: 91.1999, loss: 0.2152 +2023-03-04 12:40:04,044 - mmseg - INFO - Iter [11250/80000] lr: 7.500e-05, eta: 6:42:58, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2138, decode.acc_seg: 91.5032, loss: 0.2138 +2023-03-04 12:40:12,913 - mmseg - INFO - Iter [11300/80000] lr: 7.500e-05, eta: 6:39:39, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2222, decode.acc_seg: 90.9372, loss: 0.2222 +2023-03-04 12:40:21,585 - mmseg - INFO - Iter [11350/80000] lr: 7.500e-05, eta: 6:36:22, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2222, decode.acc_seg: 90.8098, loss: 0.2222 +2023-03-04 12:40:30,172 - mmseg - INFO - Iter [11400/80000] lr: 7.500e-05, eta: 6:33:08, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 90.9984, loss: 0.2191 +2023-03-04 12:40:39,396 - mmseg - INFO - Iter [11450/80000] lr: 7.500e-05, eta: 6:30:12, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1998, decode.acc_seg: 91.7657, loss: 0.1998 +2023-03-04 12:40:48,698 - mmseg - INFO - Iter [11500/80000] lr: 7.500e-05, eta: 6:27:23, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2199, decode.acc_seg: 91.1034, loss: 0.2199 +2023-03-04 12:40:57,715 - mmseg - INFO - Iter [11550/80000] lr: 7.500e-05, eta: 6:24:33, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2185, decode.acc_seg: 91.0654, loss: 0.2185 +2023-03-04 12:41:07,243 - mmseg - INFO - Iter [11600/80000] lr: 7.500e-05, eta: 6:21:57, time: 0.191, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2237, decode.acc_seg: 90.9083, loss: 0.2237 +2023-03-04 12:41:15,757 - mmseg - INFO - Iter [11650/80000] lr: 7.500e-05, eta: 6:19:06, time: 0.170, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2150, decode.acc_seg: 91.0923, loss: 0.2150 +2023-03-04 12:41:25,164 - mmseg - INFO - Iter [11700/80000] lr: 7.500e-05, eta: 6:16:36, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.2731, loss: 0.2128 +2023-03-04 12:41:33,980 - mmseg - INFO - Iter [11750/80000] lr: 7.500e-05, eta: 6:13:59, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2216, decode.acc_seg: 91.0306, loss: 0.2216 +2023-03-04 12:41:45,319 - mmseg - INFO - Iter [11800/80000] lr: 7.500e-05, eta: 6:12:11, time: 0.227, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2156, decode.acc_seg: 91.2045, loss: 0.2156 +2023-03-04 12:41:54,105 - mmseg - INFO - Iter [11850/80000] lr: 7.500e-05, eta: 6:09:40, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2229, decode.acc_seg: 90.8804, loss: 0.2229 +2023-03-04 12:42:02,790 - mmseg - INFO - Iter [11900/80000] lr: 7.500e-05, eta: 6:07:12, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.5983, loss: 0.2028 +2023-03-04 12:42:11,347 - mmseg - INFO - Iter [11950/80000] lr: 7.500e-05, eta: 6:04:44, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2247, decode.acc_seg: 91.0085, loss: 0.2247 +2023-03-04 12:42:20,072 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:42:20,072 - mmseg - INFO - Iter [12000/80000] lr: 7.500e-05, eta: 6:02:23, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2145, decode.acc_seg: 91.2110, loss: 0.2145 +2023-03-04 12:42:28,819 - mmseg - INFO - Iter [12050/80000] lr: 7.500e-05, eta: 6:00:06, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2147, decode.acc_seg: 91.1330, loss: 0.2147 +2023-03-04 12:42:37,692 - mmseg - INFO - Iter [12100/80000] lr: 7.500e-05, eta: 5:57:53, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7394, loss: 0.2021 +2023-03-04 12:42:46,589 - mmseg - INFO - Iter [12150/80000] lr: 7.500e-05, eta: 5:55:44, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2083, decode.acc_seg: 91.3748, loss: 0.2083 +2023-03-04 12:42:55,560 - mmseg - INFO - Iter [12200/80000] lr: 7.500e-05, eta: 5:53:40, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.2691, loss: 0.2096 +2023-03-04 12:43:04,154 - mmseg - INFO - Iter [12250/80000] lr: 7.500e-05, eta: 5:51:32, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.4573, loss: 0.2090 +2023-03-04 12:43:13,404 - mmseg - INFO - Iter [12300/80000] lr: 7.500e-05, eta: 5:49:36, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.2527, loss: 0.2128 +2023-03-04 12:43:22,756 - mmseg - INFO - Iter [12350/80000] lr: 7.500e-05, eta: 5:47:45, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2188, decode.acc_seg: 91.1549, loss: 0.2188 +2023-03-04 12:43:31,898 - mmseg - INFO - Iter [12400/80000] lr: 7.500e-05, eta: 5:45:54, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2153, decode.acc_seg: 91.1291, loss: 0.2153 +2023-03-04 12:43:43,165 - mmseg - INFO - Iter [12450/80000] lr: 7.500e-05, eta: 5:44:36, time: 0.225, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2235, decode.acc_seg: 90.9401, loss: 0.2235 +2023-03-04 12:43:52,291 - mmseg - INFO - Iter [12500/80000] lr: 7.500e-05, eta: 5:42:48, time: 0.182, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2205, decode.acc_seg: 90.9332, loss: 0.2205 +2023-03-04 12:44:01,409 - mmseg - INFO - Iter [12550/80000] lr: 7.500e-05, eta: 5:41:03, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2129, decode.acc_seg: 91.2310, loss: 0.2129 +2023-03-04 12:44:10,523 - mmseg - INFO - Iter [12600/80000] lr: 7.500e-05, eta: 5:39:18, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2151, decode.acc_seg: 91.2860, loss: 0.2151 +2023-03-04 12:44:19,441 - mmseg - INFO - Iter [12650/80000] lr: 7.500e-05, eta: 5:37:34, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2183, decode.acc_seg: 91.0924, loss: 0.2183 +2023-03-04 12:44:28,648 - mmseg - INFO - Iter [12700/80000] lr: 7.500e-05, eta: 5:35:55, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2118, decode.acc_seg: 91.3085, loss: 0.2118 +2023-03-04 12:44:37,281 - mmseg - INFO - Iter [12750/80000] lr: 7.500e-05, eta: 5:34:11, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2189, decode.acc_seg: 90.9514, loss: 0.2189 +2023-03-04 12:44:46,075 - mmseg - INFO - Iter [12800/80000] lr: 7.500e-05, eta: 5:32:30, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2107, decode.acc_seg: 91.3537, loss: 0.2107 +2023-03-04 12:44:55,329 - mmseg - INFO - Iter [12850/80000] lr: 7.500e-05, eta: 5:30:58, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2220, decode.acc_seg: 90.9603, loss: 0.2220 +2023-03-04 12:45:04,999 - mmseg - INFO - Iter [12900/80000] lr: 7.500e-05, eta: 5:29:33, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2208, decode.acc_seg: 90.8251, loss: 0.2208 +2023-03-04 12:45:14,184 - mmseg - INFO - Iter [12950/80000] lr: 7.500e-05, eta: 5:28:03, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2171, decode.acc_seg: 91.0718, loss: 0.2171 +2023-03-04 12:45:22,974 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:45:22,974 - mmseg - INFO - Iter [13000/80000] lr: 7.500e-05, eta: 5:26:30, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2140, decode.acc_seg: 91.4005, loss: 0.2140 +2023-03-04 12:45:34,975 - mmseg - INFO - Iter [13050/80000] lr: 7.500e-05, eta: 5:25:40, time: 0.240, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2101, decode.acc_seg: 91.5368, loss: 0.2101 +2023-03-04 12:45:43,983 - mmseg - INFO - Iter [13100/80000] lr: 7.500e-05, eta: 5:24:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2145, decode.acc_seg: 91.1994, loss: 0.2145 +2023-03-04 12:45:52,968 - mmseg - INFO - Iter [13150/80000] lr: 7.500e-05, eta: 5:22:46, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2167, decode.acc_seg: 91.1074, loss: 0.2167 +2023-03-04 12:46:01,569 - mmseg - INFO - Iter [13200/80000] lr: 7.500e-05, eta: 5:21:16, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2182, decode.acc_seg: 91.0652, loss: 0.2182 +2023-03-04 12:46:10,339 - mmseg - INFO - Iter [13250/80000] lr: 7.500e-05, eta: 5:19:49, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.3827, loss: 0.2128 +2023-03-04 12:46:19,633 - mmseg - INFO - Iter [13300/80000] lr: 7.500e-05, eta: 5:18:31, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2154, decode.acc_seg: 91.0681, loss: 0.2154 +2023-03-04 12:46:28,714 - mmseg - INFO - Iter [13350/80000] lr: 7.500e-05, eta: 5:17:11, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2139, decode.acc_seg: 91.1281, loss: 0.2139 +2023-03-04 12:46:38,173 - mmseg - INFO - Iter [13400/80000] lr: 7.500e-05, eta: 5:15:58, time: 0.189, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2127, decode.acc_seg: 91.2547, loss: 0.2127 +2023-03-04 12:46:47,080 - mmseg - INFO - Iter [13450/80000] lr: 7.500e-05, eta: 5:14:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2188, decode.acc_seg: 91.0340, loss: 0.2188 +2023-03-04 12:46:55,865 - mmseg - INFO - Iter [13500/80000] lr: 7.500e-05, eta: 5:13:19, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2133, decode.acc_seg: 91.3056, loss: 0.2133 +2023-03-04 12:47:04,594 - mmseg - INFO - Iter [13550/80000] lr: 7.500e-05, eta: 5:12:00, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2244, decode.acc_seg: 90.9631, loss: 0.2244 +2023-03-04 12:47:13,672 - mmseg - INFO - Iter [13600/80000] lr: 7.500e-05, eta: 5:10:47, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2181, decode.acc_seg: 90.9603, loss: 0.2181 +2023-03-04 12:47:22,963 - mmseg - INFO - Iter [13650/80000] lr: 7.500e-05, eta: 5:09:37, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2100, decode.acc_seg: 91.4314, loss: 0.2100 +2023-03-04 12:47:34,670 - mmseg - INFO - Iter [13700/80000] lr: 7.500e-05, eta: 5:08:56, time: 0.234, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2122, decode.acc_seg: 91.1601, loss: 0.2122 +2023-03-04 12:47:44,092 - mmseg - INFO - Iter [13750/80000] lr: 7.500e-05, eta: 5:07:50, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2222, decode.acc_seg: 91.0961, loss: 0.2222 +2023-03-04 12:47:53,413 - mmseg - INFO - Iter [13800/80000] lr: 7.500e-05, eta: 5:06:43, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2071, decode.acc_seg: 91.3851, loss: 0.2071 +2023-03-04 12:48:02,213 - mmseg - INFO - Iter [13850/80000] lr: 7.500e-05, eta: 5:05:32, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2138, decode.acc_seg: 91.2739, loss: 0.2138 +2023-03-04 12:48:11,017 - mmseg - INFO - Iter [13900/80000] lr: 7.500e-05, eta: 5:04:21, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2231, decode.acc_seg: 91.0450, loss: 0.2231 +2023-03-04 12:48:19,950 - mmseg - INFO - Iter [13950/80000] lr: 7.500e-05, eta: 5:03:13, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2198, decode.acc_seg: 91.0923, loss: 0.2198 +2023-03-04 12:48:28,724 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:48:28,724 - mmseg - INFO - Iter [14000/80000] lr: 7.500e-05, eta: 5:02:04, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2151, decode.acc_seg: 91.1547, loss: 0.2151 +2023-03-04 12:48:37,767 - mmseg - INFO - Iter [14050/80000] lr: 7.500e-05, eta: 5:00:59, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2164, decode.acc_seg: 91.1234, loss: 0.2164 +2023-03-04 12:48:46,750 - mmseg - INFO - Iter [14100/80000] lr: 7.500e-05, eta: 4:59:55, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2155, decode.acc_seg: 91.2248, loss: 0.2155 +2023-03-04 12:48:55,994 - mmseg - INFO - Iter [14150/80000] lr: 7.500e-05, eta: 4:58:54, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2074, decode.acc_seg: 91.3853, loss: 0.2074 +2023-03-04 12:49:05,502 - mmseg - INFO - Iter [14200/80000] lr: 7.500e-05, eta: 4:57:57, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2225, decode.acc_seg: 90.8468, loss: 0.2225 +2023-03-04 12:49:14,519 - mmseg - INFO - Iter [14250/80000] lr: 7.500e-05, eta: 4:56:55, time: 0.180, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2228, decode.acc_seg: 91.0328, loss: 0.2228 +2023-03-04 12:49:23,545 - mmseg - INFO - Iter [14300/80000] lr: 7.500e-05, eta: 4:55:55, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2292, decode.acc_seg: 90.7450, loss: 0.2292 +2023-03-04 12:49:34,985 - mmseg - INFO - Iter [14350/80000] lr: 7.500e-05, eta: 4:55:19, time: 0.229, data_time: 0.051, memory: 52403, decode.loss_ce: 0.2123, decode.acc_seg: 91.4529, loss: 0.2123 +2023-03-04 12:49:43,838 - mmseg - INFO - Iter [14400/80000] lr: 7.500e-05, eta: 4:54:19, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 91.1663, loss: 0.2191 +2023-03-04 12:49:52,726 - mmseg - INFO - Iter [14450/80000] lr: 7.500e-05, eta: 4:53:19, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 91.0527, loss: 0.2191 +2023-03-04 12:50:02,129 - mmseg - INFO - Iter [14500/80000] lr: 7.500e-05, eta: 4:52:25, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.3732, loss: 0.2090 +2023-03-04 12:50:10,958 - mmseg - INFO - Iter [14550/80000] lr: 7.500e-05, eta: 4:51:26, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2134, decode.acc_seg: 91.4910, loss: 0.2134 +2023-03-04 12:50:20,092 - mmseg - INFO - Iter [14600/80000] lr: 7.500e-05, eta: 4:50:30, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2235, decode.acc_seg: 90.9393, loss: 0.2235 +2023-03-04 12:50:29,151 - mmseg - INFO - Iter [14650/80000] lr: 7.500e-05, eta: 4:49:35, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2110, decode.acc_seg: 91.3424, loss: 0.2110 +2023-03-04 12:50:37,987 - mmseg - INFO - Iter [14700/80000] lr: 7.500e-05, eta: 4:48:38, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2079, decode.acc_seg: 91.4654, loss: 0.2079 +2023-03-04 12:50:47,371 - mmseg - INFO - Iter [14750/80000] lr: 7.500e-05, eta: 4:47:48, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2246, decode.acc_seg: 90.9690, loss: 0.2246 +2023-03-04 12:50:56,442 - mmseg - INFO - Iter [14800/80000] lr: 7.500e-05, eta: 4:46:55, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2068, decode.acc_seg: 91.3455, loss: 0.2068 +2023-03-04 12:51:05,240 - mmseg - INFO - Iter [14850/80000] lr: 7.500e-05, eta: 4:46:00, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2210, decode.acc_seg: 90.9325, loss: 0.2210 +2023-03-04 12:51:14,538 - mmseg - INFO - Iter [14900/80000] lr: 7.500e-05, eta: 4:45:10, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2123, decode.acc_seg: 91.2012, loss: 0.2123 +2023-03-04 12:51:26,037 - mmseg - INFO - Iter [14950/80000] lr: 7.500e-05, eta: 4:44:41, time: 0.230, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2079, decode.acc_seg: 91.5431, loss: 0.2079 +2023-03-04 12:51:34,993 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:51:34,993 - mmseg - INFO - Iter [15000/80000] lr: 7.500e-05, eta: 4:43:49, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2102, decode.acc_seg: 91.3895, loss: 0.2102 +2023-03-04 12:51:44,532 - mmseg - INFO - Iter [15050/80000] lr: 7.500e-05, eta: 4:43:04, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2263, decode.acc_seg: 90.6989, loss: 0.2263 +2023-03-04 12:51:53,513 - mmseg - INFO - Iter [15100/80000] lr: 7.500e-05, eta: 4:42:13, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2112, decode.acc_seg: 91.3287, loss: 0.2112 +2023-03-04 12:52:02,140 - mmseg - INFO - Iter [15150/80000] lr: 7.500e-05, eta: 4:41:20, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2070, decode.acc_seg: 91.3176, loss: 0.2070 +2023-03-04 12:52:11,100 - mmseg - INFO - Iter [15200/80000] lr: 7.500e-05, eta: 4:40:30, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2143, decode.acc_seg: 91.1972, loss: 0.2143 +2023-03-04 12:52:19,853 - mmseg - INFO - Iter [15250/80000] lr: 7.500e-05, eta: 4:39:39, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2182, decode.acc_seg: 91.1953, loss: 0.2182 +2023-03-04 12:52:28,812 - mmseg - INFO - Iter [15300/80000] lr: 7.500e-05, eta: 4:38:51, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2149, decode.acc_seg: 91.3396, loss: 0.2149 +2023-03-04 12:52:38,441 - mmseg - INFO - Iter [15350/80000] lr: 7.500e-05, eta: 4:38:09, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2072, decode.acc_seg: 91.4579, loss: 0.2072 +2023-03-04 12:52:47,139 - mmseg - INFO - Iter [15400/80000] lr: 7.500e-05, eta: 4:37:20, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2127, decode.acc_seg: 91.3764, loss: 0.2127 +2023-03-04 12:52:55,916 - mmseg - INFO - Iter [15450/80000] lr: 7.500e-05, eta: 4:36:31, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2150, decode.acc_seg: 91.0938, loss: 0.2150 +2023-03-04 12:53:04,601 - mmseg - INFO - Iter [15500/80000] lr: 7.500e-05, eta: 4:35:42, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2156, decode.acc_seg: 91.3505, loss: 0.2156 +2023-03-04 12:53:13,431 - mmseg - INFO - Iter [15550/80000] lr: 7.500e-05, eta: 4:34:56, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2184, decode.acc_seg: 91.0570, loss: 0.2184 +2023-03-04 12:53:25,038 - mmseg - INFO - Iter [15600/80000] lr: 7.500e-05, eta: 4:34:33, time: 0.232, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2109, decode.acc_seg: 91.1515, loss: 0.2109 +2023-03-04 12:53:33,779 - mmseg - INFO - Iter [15650/80000] lr: 7.500e-05, eta: 4:33:46, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2139, decode.acc_seg: 91.2754, loss: 0.2139 +2023-03-04 12:53:42,944 - mmseg - INFO - Iter [15700/80000] lr: 7.500e-05, eta: 4:33:03, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.3270, loss: 0.2103 +2023-03-04 12:53:51,916 - mmseg - INFO - Iter [15750/80000] lr: 7.500e-05, eta: 4:32:19, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2145, decode.acc_seg: 91.3867, loss: 0.2145 +2023-03-04 12:54:00,699 - mmseg - INFO - Iter [15800/80000] lr: 7.500e-05, eta: 4:31:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2148, decode.acc_seg: 91.1806, loss: 0.2148 +2023-03-04 12:54:09,495 - mmseg - INFO - Iter [15850/80000] lr: 7.500e-05, eta: 4:30:49, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2244, decode.acc_seg: 90.8629, loss: 0.2244 +2023-03-04 12:54:18,390 - mmseg - INFO - Iter [15900/80000] lr: 7.500e-05, eta: 4:30:06, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2177, decode.acc_seg: 91.2062, loss: 0.2177 +2023-03-04 12:54:27,292 - mmseg - INFO - Iter [15950/80000] lr: 7.500e-05, eta: 4:29:23, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2158, decode.acc_seg: 91.3297, loss: 0.2158 +2023-03-04 12:54:36,215 - mmseg - INFO - Saving checkpoint at 16000 iterations +2023-03-04 12:54:36,872 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:54:36,873 - mmseg - INFO - Iter [16000/80000] lr: 7.500e-05, eta: 4:28:47, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2235, decode.acc_seg: 90.8036, loss: 0.2235 +2023-03-04 12:54:52,460 - mmseg - INFO - per class results: +2023-03-04 12:54:52,466 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.76 | 88.69 | +| building | 80.64 | 92.88 | +| sky | 94.24 | 96.82 | +| floor | 80.01 | 91.28 | +| tree | 72.65 | 86.8 | +| ceiling | 84.66 | 91.72 | +| road | 81.35 | 90.54 | +| bed | 87.21 | 94.47 | +| windowpane | 59.82 | 76.64 | +| grass | 65.97 | 83.52 | +| cabinet | 59.45 | 73.99 | +| sidewalk | 62.58 | 77.33 | +| person | 77.68 | 92.82 | +| earth | 35.49 | 50.21 | +| door | 43.2 | 53.53 | +| table | 57.43 | 70.99 | +| mountain | 57.36 | 75.2 | +| plant | 48.82 | 58.51 | +| curtain | 73.16 | 83.4 | +| chair | 54.12 | 65.47 | +| car | 81.74 | 90.45 | +| water | 57.29 | 76.56 | +| painting | 69.9 | 84.15 | +| sofa | 61.92 | 83.05 | +| shelf | 42.27 | 60.06 | +| house | 42.24 | 57.37 | +| sea | 60.4 | 75.92 | +| mirror | 62.98 | 71.68 | +| rug | 63.17 | 76.08 | +| field | 30.97 | 44.12 | +| armchair | 35.8 | 51.34 | +| seat | 64.59 | 81.17 | +| fence | 36.93 | 43.45 | +| desk | 45.43 | 67.88 | +| rock | 34.37 | 55.28 | +| wardrobe | 57.19 | 69.79 | +| lamp | 59.19 | 73.23 | +| bathtub | 73.32 | 82.46 | +| railing | 33.38 | 49.51 | +| cushion | 52.83 | 62.34 | +| base | 16.49 | 18.71 | +| box | 23.2 | 32.19 | +| column | 44.06 | 52.62 | +| signboard | 35.94 | 45.89 | +| chest of drawers | 34.89 | 53.3 | +| counter | 29.65 | 38.88 | +| sand | 40.16 | 55.65 | +| sink | 65.58 | 72.64 | +| skyscraper | 52.26 | 67.29 | +| fireplace | 70.17 | 88.21 | +| refrigerator | 70.3 | 86.05 | +| grandstand | 52.68 | 60.85 | +| path | 19.96 | 25.24 | +| stairs | 30.64 | 38.96 | +| runway | 67.73 | 87.65 | +| case | 46.29 | 53.31 | +| pool table | 89.91 | 91.59 | +| pillow | 59.7 | 75.09 | +| screen door | 69.15 | 74.55 | +| stairway | 23.66 | 40.76 | +| river | 11.4 | 21.52 | +| bridge | 34.17 | 39.02 | +| bookcase | 40.22 | 64.42 | +| blind | 38.77 | 43.61 | +| coffee table | 50.05 | 79.09 | +| toilet | 83.05 | 89.76 | +| flower | 38.57 | 53.73 | +| book | 41.65 | 63.72 | +| hill | 14.84 | 19.94 | +| bench | 43.36 | 53.43 | +| countertop | 51.14 | 67.1 | +| stove | 68.71 | 81.92 | +| palm | 47.77 | 66.93 | +| kitchen island | 34.96 | 51.14 | +| computer | 58.1 | 69.19 | +| swivel chair | 40.36 | 53.07 | +| boat | 65.19 | 75.02 | +| bar | 21.03 | 27.48 | +| arcade machine | 64.59 | 66.57 | +| hovel | 33.56 | 37.05 | +| bus | 76.99 | 90.21 | +| towel | 60.89 | 72.54 | +| light | 52.98 | 62.41 | +| truck | 13.47 | 17.34 | +| tower | 6.54 | 10.4 | +| chandelier | 63.66 | 76.95 | +| awning | 20.42 | 23.96 | +| streetlight | 19.08 | 23.29 | +| booth | 43.15 | 45.24 | +| television receiver | 62.76 | 76.28 | +| airplane | 57.18 | 62.58 | +| dirt track | 12.2 | 23.52 | +| apparel | 35.74 | 52.56 | +| pole | 8.98 | 10.04 | +| land | 1.62 | 2.15 | +| bannister | 11.29 | 15.12 | +| escalator | 26.62 | 30.13 | +| ottoman | 40.63 | 60.71 | +| bottle | 33.37 | 51.18 | +| buffet | 40.81 | 49.01 | +| poster | 23.09 | 34.51 | +| stage | 15.7 | 21.89 | +| van | 37.47 | 55.52 | +| ship | 70.75 | 90.15 | +| fountain | 10.09 | 10.21 | +| conveyer belt | 82.81 | 90.55 | +| canopy | 25.67 | 28.59 | +| washer | 79.54 | 81.18 | +| plaything | 20.44 | 25.45 | +| swimming pool | 71.72 | 78.59 | +| stool | 40.64 | 56.47 | +| barrel | 37.3 | 49.3 | +| basket | 24.05 | 37.17 | +| waterfall | 46.98 | 60.43 | +| tent | 94.7 | 97.38 | +| bag | 9.37 | 10.55 | +| minibike | 62.08 | 74.99 | +| cradle | 84.09 | 93.88 | +| oven | 44.2 | 64.9 | +| ball | 39.55 | 43.55 | +| food | 50.61 | 60.95 | +| step | 4.78 | 5.31 | +| tank | 46.86 | 50.54 | +| trade name | 25.32 | 27.77 | +| microwave | 71.54 | 78.89 | +| pot | 28.86 | 32.49 | +| animal | 52.68 | 57.18 | +| bicycle | 48.63 | 68.23 | +| lake | 57.28 | 62.38 | +| dishwasher | 65.18 | 77.03 | +| screen | 68.17 | 79.87 | +| blanket | 18.31 | 22.07 | +| sculpture | 56.99 | 76.7 | +| hood | 56.21 | 67.71 | +| sconce | 39.26 | 45.31 | +| vase | 35.02 | 44.05 | +| traffic light | 23.14 | 28.31 | +| tray | 3.17 | 3.67 | +| ashcan | 41.89 | 47.08 | +| fan | 57.94 | 71.35 | +| pier | 38.96 | 80.74 | +| crt screen | 8.57 | 25.58 | +| plate | 47.98 | 64.89 | +| monitor | 13.13 | 15.71 | +| bulletin board | 38.71 | 51.61 | +| shower | 0.3 | 0.74 | +| radiator | 59.34 | 68.78 | +| glass | 12.23 | 13.64 | +| clock | 34.95 | 38.49 | +| flag | 35.18 | 39.09 | ++---------------------+-------+-------+ +2023-03-04 12:54:52,466 - mmseg - INFO - Summary: +2023-03-04 12:54:52,467 - mmseg - INFO - ++------+-------+-------+ +| aAcc | mIoU | mAcc | ++------+-------+-------+ +| 82.1 | 46.61 | 57.34 | ++------+-------+-------+ +2023-03-04 12:54:52,489 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_8000.pth was removed +2023-03-04 12:54:53,084 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2023-03-04 12:54:53,085 - mmseg - INFO - Best mIoU is 0.4661 at 16000 iter. +2023-03-04 12:54:53,085 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:54:53,085 - mmseg - INFO - Iter(val) [250] aAcc: 0.8210, mIoU: 0.4661, mAcc: 0.5734, IoU.background: nan, IoU.wall: 0.7676, IoU.building: 0.8064, IoU.sky: 0.9424, IoU.floor: 0.8001, IoU.tree: 0.7265, IoU.ceiling: 0.8466, IoU.road: 0.8135, IoU.bed : 0.8721, IoU.windowpane: 0.5982, IoU.grass: 0.6597, IoU.cabinet: 0.5945, IoU.sidewalk: 0.6258, IoU.person: 0.7768, IoU.earth: 0.3549, IoU.door: 0.4320, IoU.table: 0.5743, IoU.mountain: 0.5736, IoU.plant: 0.4882, IoU.curtain: 0.7316, IoU.chair: 0.5412, IoU.car: 0.8174, IoU.water: 0.5729, IoU.painting: 0.6990, IoU.sofa: 0.6192, IoU.shelf: 0.4227, IoU.house: 0.4224, IoU.sea: 0.6040, IoU.mirror: 0.6298, IoU.rug: 0.6317, IoU.field: 0.3097, IoU.armchair: 0.3580, IoU.seat: 0.6459, IoU.fence: 0.3693, IoU.desk: 0.4543, IoU.rock: 0.3437, IoU.wardrobe: 0.5719, IoU.lamp: 0.5919, IoU.bathtub: 0.7332, IoU.railing: 0.3338, IoU.cushion: 0.5283, IoU.base: 0.1649, IoU.box: 0.2320, IoU.column: 0.4406, IoU.signboard: 0.3594, IoU.chest of drawers: 0.3489, IoU.counter: 0.2965, IoU.sand: 0.4016, IoU.sink: 0.6558, IoU.skyscraper: 0.5226, IoU.fireplace: 0.7017, IoU.refrigerator: 0.7030, IoU.grandstand: 0.5268, IoU.path: 0.1996, IoU.stairs: 0.3064, IoU.runway: 0.6773, IoU.case: 0.4629, IoU.pool table: 0.8991, IoU.pillow: 0.5970, IoU.screen door: 0.6915, IoU.stairway: 0.2366, IoU.river: 0.1140, IoU.bridge: 0.3417, IoU.bookcase: 0.4022, IoU.blind: 0.3877, IoU.coffee table: 0.5005, IoU.toilet: 0.8305, IoU.flower: 0.3857, IoU.book: 0.4165, IoU.hill: 0.1484, IoU.bench: 0.4336, IoU.countertop: 0.5114, IoU.stove: 0.6871, IoU.palm: 0.4777, IoU.kitchen island: 0.3496, IoU.computer: 0.5810, IoU.swivel chair: 0.4036, IoU.boat: 0.6519, IoU.bar: 0.2103, IoU.arcade machine: 0.6459, IoU.hovel: 0.3356, IoU.bus: 0.7699, IoU.towel: 0.6089, IoU.light: 0.5298, IoU.truck: 0.1347, IoU.tower: 0.0654, IoU.chandelier: 0.6366, IoU.awning: 0.2042, IoU.streetlight: 0.1908, IoU.booth: 0.4315, IoU.television receiver: 0.6276, IoU.airplane: 0.5718, IoU.dirt track: 0.1220, IoU.apparel: 0.3574, IoU.pole: 0.0898, IoU.land: 0.0162, IoU.bannister: 0.1129, IoU.escalator: 0.2662, IoU.ottoman: 0.4063, IoU.bottle: 0.3337, IoU.buffet: 0.4081, IoU.poster: 0.2309, IoU.stage: 0.1570, IoU.van: 0.3747, IoU.ship: 0.7075, IoU.fountain: 0.1009, IoU.conveyer belt: 0.8281, IoU.canopy: 0.2567, IoU.washer: 0.7954, IoU.plaything: 0.2044, IoU.swimming pool: 0.7172, IoU.stool: 0.4064, IoU.barrel: 0.3730, IoU.basket: 0.2405, IoU.waterfall: 0.4698, IoU.tent: 0.9470, IoU.bag: 0.0937, IoU.minibike: 0.6208, IoU.cradle: 0.8409, IoU.oven: 0.4420, IoU.ball: 0.3955, IoU.food: 0.5061, IoU.step: 0.0478, IoU.tank: 0.4686, IoU.trade name: 0.2532, IoU.microwave: 0.7154, IoU.pot: 0.2886, IoU.animal: 0.5268, IoU.bicycle: 0.4863, IoU.lake: 0.5728, IoU.dishwasher: 0.6518, IoU.screen: 0.6817, IoU.blanket: 0.1831, IoU.sculpture: 0.5699, IoU.hood: 0.5621, IoU.sconce: 0.3926, IoU.vase: 0.3502, IoU.traffic light: 0.2314, IoU.tray: 0.0317, IoU.ashcan: 0.4189, IoU.fan: 0.5794, IoU.pier: 0.3896, IoU.crt screen: 0.0857, IoU.plate: 0.4798, IoU.monitor: 0.1313, IoU.bulletin board: 0.3871, IoU.shower: 0.0030, IoU.radiator: 0.5934, IoU.glass: 0.1223, IoU.clock: 0.3495, IoU.flag: 0.3518, Acc.background: nan, Acc.wall: 0.8869, Acc.building: 0.9288, Acc.sky: 0.9682, Acc.floor: 0.9128, Acc.tree: 0.8680, Acc.ceiling: 0.9172, Acc.road: 0.9054, Acc.bed : 0.9447, Acc.windowpane: 0.7664, Acc.grass: 0.8352, Acc.cabinet: 0.7399, Acc.sidewalk: 0.7733, Acc.person: 0.9282, Acc.earth: 0.5021, Acc.door: 0.5353, Acc.table: 0.7099, Acc.mountain: 0.7520, Acc.plant: 0.5851, Acc.curtain: 0.8340, Acc.chair: 0.6547, Acc.car: 0.9045, Acc.water: 0.7656, Acc.painting: 0.8415, Acc.sofa: 0.8305, Acc.shelf: 0.6006, Acc.house: 0.5737, Acc.sea: 0.7592, Acc.mirror: 0.7168, Acc.rug: 0.7608, Acc.field: 0.4412, Acc.armchair: 0.5134, Acc.seat: 0.8117, Acc.fence: 0.4345, Acc.desk: 0.6788, Acc.rock: 0.5528, Acc.wardrobe: 0.6979, Acc.lamp: 0.7323, Acc.bathtub: 0.8246, Acc.railing: 0.4951, Acc.cushion: 0.6234, Acc.base: 0.1871, Acc.box: 0.3219, Acc.column: 0.5262, Acc.signboard: 0.4589, Acc.chest of drawers: 0.5330, Acc.counter: 0.3888, Acc.sand: 0.5565, Acc.sink: 0.7264, Acc.skyscraper: 0.6729, Acc.fireplace: 0.8821, Acc.refrigerator: 0.8605, Acc.grandstand: 0.6085, Acc.path: 0.2524, Acc.stairs: 0.3896, Acc.runway: 0.8765, Acc.case: 0.5331, Acc.pool table: 0.9159, Acc.pillow: 0.7509, Acc.screen door: 0.7455, Acc.stairway: 0.4076, Acc.river: 0.2152, Acc.bridge: 0.3902, Acc.bookcase: 0.6442, Acc.blind: 0.4361, Acc.coffee table: 0.7909, Acc.toilet: 0.8976, Acc.flower: 0.5373, Acc.book: 0.6372, Acc.hill: 0.1994, Acc.bench: 0.5343, Acc.countertop: 0.6710, Acc.stove: 0.8192, Acc.palm: 0.6693, Acc.kitchen island: 0.5114, Acc.computer: 0.6919, Acc.swivel chair: 0.5307, Acc.boat: 0.7502, Acc.bar: 0.2748, Acc.arcade machine: 0.6657, Acc.hovel: 0.3705, Acc.bus: 0.9021, Acc.towel: 0.7254, Acc.light: 0.6241, Acc.truck: 0.1734, Acc.tower: 0.1040, Acc.chandelier: 0.7695, Acc.awning: 0.2396, Acc.streetlight: 0.2329, Acc.booth: 0.4524, Acc.television receiver: 0.7628, Acc.airplane: 0.6258, Acc.dirt track: 0.2352, Acc.apparel: 0.5256, Acc.pole: 0.1004, Acc.land: 0.0215, Acc.bannister: 0.1512, Acc.escalator: 0.3013, Acc.ottoman: 0.6071, Acc.bottle: 0.5118, Acc.buffet: 0.4901, Acc.poster: 0.3451, Acc.stage: 0.2189, Acc.van: 0.5552, Acc.ship: 0.9015, Acc.fountain: 0.1021, Acc.conveyer belt: 0.9055, Acc.canopy: 0.2859, Acc.washer: 0.8118, Acc.plaything: 0.2545, Acc.swimming pool: 0.7859, Acc.stool: 0.5647, Acc.barrel: 0.4930, Acc.basket: 0.3717, Acc.waterfall: 0.6043, Acc.tent: 0.9738, Acc.bag: 0.1055, Acc.minibike: 0.7499, Acc.cradle: 0.9388, Acc.oven: 0.6490, Acc.ball: 0.4355, Acc.food: 0.6095, Acc.step: 0.0531, Acc.tank: 0.5054, Acc.trade name: 0.2777, Acc.microwave: 0.7889, Acc.pot: 0.3249, Acc.animal: 0.5718, Acc.bicycle: 0.6823, Acc.lake: 0.6238, Acc.dishwasher: 0.7703, Acc.screen: 0.7987, Acc.blanket: 0.2207, Acc.sculpture: 0.7670, Acc.hood: 0.6771, Acc.sconce: 0.4531, Acc.vase: 0.4405, Acc.traffic light: 0.2831, Acc.tray: 0.0367, Acc.ashcan: 0.4708, Acc.fan: 0.7135, Acc.pier: 0.8074, Acc.crt screen: 0.2558, Acc.plate: 0.6489, Acc.monitor: 0.1571, Acc.bulletin board: 0.5161, Acc.shower: 0.0074, Acc.radiator: 0.6878, Acc.glass: 0.1364, Acc.clock: 0.3849, Acc.flag: 0.3909 +2023-03-04 12:55:02,004 - mmseg - INFO - Iter [16050/80000] lr: 7.500e-05, eta: 4:30:13, time: 0.503, data_time: 0.332, memory: 52403, decode.loss_ce: 0.2191, decode.acc_seg: 90.9822, loss: 0.2191 +2023-03-04 12:55:11,046 - mmseg - INFO - Iter [16100/80000] lr: 7.500e-05, eta: 4:29:32, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.4453, loss: 0.2085 +2023-03-04 12:55:20,541 - mmseg - INFO - Iter [16150/80000] lr: 7.500e-05, eta: 4:28:55, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2130, decode.acc_seg: 91.3347, loss: 0.2130 +2023-03-04 12:55:29,452 - mmseg - INFO - Iter [16200/80000] lr: 7.500e-05, eta: 4:28:13, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.2966, loss: 0.2114 +2023-03-04 12:55:40,803 - mmseg - INFO - Iter [16250/80000] lr: 7.500e-05, eta: 4:27:51, time: 0.227, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2143, decode.acc_seg: 91.3231, loss: 0.2143 +2023-03-04 12:55:49,630 - mmseg - INFO - Iter [16300/80000] lr: 7.500e-05, eta: 4:27:09, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2202, decode.acc_seg: 91.0182, loss: 0.2202 +2023-03-04 12:55:58,255 - mmseg - INFO - Iter [16350/80000] lr: 7.500e-05, eta: 4:26:26, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2133, decode.acc_seg: 91.2685, loss: 0.2133 +2023-03-04 12:56:07,608 - mmseg - INFO - Iter [16400/80000] lr: 7.500e-05, eta: 4:25:50, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2169, decode.acc_seg: 91.2376, loss: 0.2169 +2023-03-04 12:56:16,543 - mmseg - INFO - Iter [16450/80000] lr: 7.500e-05, eta: 4:25:10, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.5171, loss: 0.2064 +2023-03-04 12:56:25,384 - mmseg - INFO - Iter [16500/80000] lr: 7.500e-05, eta: 4:24:30, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2188, decode.acc_seg: 91.1118, loss: 0.2188 +2023-03-04 12:56:33,971 - mmseg - INFO - Iter [16550/80000] lr: 7.500e-05, eta: 4:23:48, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2166, decode.acc_seg: 91.1694, loss: 0.2166 +2023-03-04 12:56:43,196 - mmseg - INFO - Iter [16600/80000] lr: 7.500e-05, eta: 4:23:12, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2126, decode.acc_seg: 91.2927, loss: 0.2126 +2023-03-04 12:56:52,420 - mmseg - INFO - Iter [16650/80000] lr: 7.500e-05, eta: 4:22:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2057, decode.acc_seg: 91.4167, loss: 0.2057 +2023-03-04 12:57:01,306 - mmseg - INFO - Iter [16700/80000] lr: 7.500e-05, eta: 4:21:58, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2229, decode.acc_seg: 91.0422, loss: 0.2229 +2023-03-04 12:57:10,479 - mmseg - INFO - Iter [16750/80000] lr: 7.500e-05, eta: 4:21:22, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2170, decode.acc_seg: 91.0843, loss: 0.2170 +2023-03-04 12:57:19,186 - mmseg - INFO - Iter [16800/80000] lr: 7.500e-05, eta: 4:20:43, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2253, decode.acc_seg: 90.9486, loss: 0.2253 +2023-03-04 12:57:30,457 - mmseg - INFO - Iter [16850/80000] lr: 7.500e-05, eta: 4:20:23, time: 0.225, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2144, decode.acc_seg: 91.2931, loss: 0.2144 +2023-03-04 12:57:39,219 - mmseg - INFO - Iter [16900/80000] lr: 7.500e-05, eta: 4:19:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2098, decode.acc_seg: 91.5270, loss: 0.2098 +2023-03-04 12:57:48,099 - mmseg - INFO - Iter [16950/80000] lr: 7.500e-05, eta: 4:19:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.3310, loss: 0.2104 +2023-03-04 12:57:56,905 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 12:57:56,905 - mmseg - INFO - Iter [17000/80000] lr: 7.500e-05, eta: 4:18:31, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2081, decode.acc_seg: 91.4145, loss: 0.2081 +2023-03-04 12:58:06,001 - mmseg - INFO - Iter [17050/80000] lr: 7.500e-05, eta: 4:17:56, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2089, decode.acc_seg: 91.3009, loss: 0.2089 +2023-03-04 12:58:15,336 - mmseg - INFO - Iter [17100/80000] lr: 7.500e-05, eta: 4:17:23, time: 0.187, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2174, decode.acc_seg: 91.1046, loss: 0.2174 +2023-03-04 12:58:24,200 - mmseg - INFO - Iter [17150/80000] lr: 7.500e-05, eta: 4:16:48, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2139, decode.acc_seg: 91.2356, loss: 0.2139 +2023-03-04 12:58:33,397 - mmseg - INFO - Iter [17200/80000] lr: 7.500e-05, eta: 4:16:15, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2117, decode.acc_seg: 91.3431, loss: 0.2117 +2023-03-04 12:58:42,778 - mmseg - INFO - Iter [17250/80000] lr: 7.500e-05, eta: 4:15:43, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2151, decode.acc_seg: 91.1491, loss: 0.2151 +2023-03-04 12:58:51,709 - mmseg - INFO - Iter [17300/80000] lr: 7.500e-05, eta: 4:15:08, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2158, decode.acc_seg: 91.2846, loss: 0.2158 +2023-03-04 12:59:01,229 - mmseg - INFO - Iter [17350/80000] lr: 7.500e-05, eta: 4:14:38, time: 0.190, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2199, decode.acc_seg: 91.0246, loss: 0.2199 +2023-03-04 12:59:10,475 - mmseg - INFO - Iter [17400/80000] lr: 7.500e-05, eta: 4:14:06, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2235, decode.acc_seg: 90.7825, loss: 0.2235 +2023-03-04 12:59:20,308 - mmseg - INFO - Iter [17450/80000] lr: 7.500e-05, eta: 4:13:39, time: 0.197, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2136, decode.acc_seg: 91.2473, loss: 0.2136 +2023-03-04 12:59:31,650 - mmseg - INFO - Iter [17500/80000] lr: 7.500e-05, eta: 4:13:21, time: 0.227, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2094, decode.acc_seg: 91.4411, loss: 0.2094 +2023-03-04 12:59:40,316 - mmseg - INFO - Iter [17550/80000] lr: 7.500e-05, eta: 4:12:46, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2167, decode.acc_seg: 91.1020, loss: 0.2167 +2023-03-04 12:59:49,175 - mmseg - INFO - Iter [17600/80000] lr: 7.500e-05, eta: 4:12:13, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2098, decode.acc_seg: 91.5139, loss: 0.2098 +2023-03-04 12:59:58,261 - mmseg - INFO - Iter [17650/80000] lr: 7.500e-05, eta: 4:11:41, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2190, decode.acc_seg: 90.9405, loss: 0.2190 +2023-03-04 13:00:07,227 - mmseg - INFO - Iter [17700/80000] lr: 7.500e-05, eta: 4:11:09, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5764, loss: 0.2059 +2023-03-04 13:00:16,299 - mmseg - INFO - Iter [17750/80000] lr: 7.500e-05, eta: 4:10:37, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.5723, loss: 0.2084 +2023-03-04 13:00:25,639 - mmseg - INFO - Iter [17800/80000] lr: 7.500e-05, eta: 4:10:08, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2169, decode.acc_seg: 91.0600, loss: 0.2169 +2023-03-04 13:00:34,289 - mmseg - INFO - Iter [17850/80000] lr: 7.500e-05, eta: 4:09:34, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2168, decode.acc_seg: 91.1299, loss: 0.2168 +2023-03-04 13:00:43,571 - mmseg - INFO - Iter [17900/80000] lr: 7.500e-05, eta: 4:09:05, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2124, decode.acc_seg: 91.3326, loss: 0.2124 +2023-03-04 13:00:53,023 - mmseg - INFO - Iter [17950/80000] lr: 7.500e-05, eta: 4:08:36, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2158, decode.acc_seg: 91.1403, loss: 0.2158 +2023-03-04 13:01:01,968 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:01:01,968 - mmseg - INFO - Iter [18000/80000] lr: 7.500e-05, eta: 4:08:05, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.3167, loss: 0.2103 +2023-03-04 13:01:11,191 - mmseg - INFO - Iter [18050/80000] lr: 7.500e-05, eta: 4:07:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2212, decode.acc_seg: 91.0276, loss: 0.2212 +2023-03-04 13:01:22,387 - mmseg - INFO - Iter [18100/80000] lr: 7.500e-05, eta: 4:07:19, time: 0.224, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2136, decode.acc_seg: 91.4000, loss: 0.2136 +2023-03-04 13:01:31,441 - mmseg - INFO - Iter [18150/80000] lr: 7.500e-05, eta: 4:06:50, time: 0.181, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.5364, loss: 0.2053 +2023-03-04 13:01:40,596 - mmseg - INFO - Iter [18200/80000] lr: 7.500e-05, eta: 4:06:21, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2074, decode.acc_seg: 91.3986, loss: 0.2074 +2023-03-04 13:01:49,291 - mmseg - INFO - Iter [18250/80000] lr: 7.500e-05, eta: 4:05:49, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2170, decode.acc_seg: 91.1791, loss: 0.2170 +2023-03-04 13:01:58,483 - mmseg - INFO - Iter [18300/80000] lr: 7.500e-05, eta: 4:05:21, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.6143, loss: 0.2065 +2023-03-04 13:02:07,112 - mmseg - INFO - Iter [18350/80000] lr: 7.500e-05, eta: 4:04:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2231, decode.acc_seg: 90.7788, loss: 0.2231 +2023-03-04 13:02:15,810 - mmseg - INFO - Iter [18400/80000] lr: 7.500e-05, eta: 4:04:18, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.5088, loss: 0.2065 +2023-03-04 13:02:24,864 - mmseg - INFO - Iter [18450/80000] lr: 7.500e-05, eta: 4:03:49, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2172, decode.acc_seg: 91.1718, loss: 0.2172 +2023-03-04 13:02:33,923 - mmseg - INFO - Iter [18500/80000] lr: 7.500e-05, eta: 4:03:21, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2152, decode.acc_seg: 91.2185, loss: 0.2152 +2023-03-04 13:02:43,240 - mmseg - INFO - Iter [18550/80000] lr: 7.500e-05, eta: 4:02:54, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2155, decode.acc_seg: 91.1327, loss: 0.2155 +2023-03-04 13:02:51,992 - mmseg - INFO - Iter [18600/80000] lr: 7.500e-05, eta: 4:02:24, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2150, decode.acc_seg: 91.1755, loss: 0.2150 +2023-03-04 13:03:00,638 - mmseg - INFO - Iter [18650/80000] lr: 7.500e-05, eta: 4:01:54, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.5816, loss: 0.2064 +2023-03-04 13:03:09,392 - mmseg - INFO - Iter [18700/80000] lr: 7.500e-05, eta: 4:01:25, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.7991, loss: 0.1979 +2023-03-04 13:03:20,585 - mmseg - INFO - Iter [18750/80000] lr: 7.500e-05, eta: 4:01:09, time: 0.224, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.3782, loss: 0.2092 +2023-03-04 13:03:29,645 - mmseg - INFO - Iter [18800/80000] lr: 7.500e-05, eta: 4:00:42, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.3487, loss: 0.2104 +2023-03-04 13:03:38,705 - mmseg - INFO - Iter [18850/80000] lr: 7.500e-05, eta: 4:00:15, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2122, decode.acc_seg: 91.3366, loss: 0.2122 +2023-03-04 13:03:48,121 - mmseg - INFO - Iter [18900/80000] lr: 7.500e-05, eta: 3:59:49, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2129, decode.acc_seg: 91.3321, loss: 0.2129 +2023-03-04 13:03:57,083 - mmseg - INFO - Iter [18950/80000] lr: 7.500e-05, eta: 3:59:22, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2079, decode.acc_seg: 91.4802, loss: 0.2079 +2023-03-04 13:04:05,744 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:04:05,744 - mmseg - INFO - Iter [19000/80000] lr: 7.500e-05, eta: 3:58:53, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2179, decode.acc_seg: 91.2185, loss: 0.2179 +2023-03-04 13:04:14,821 - mmseg - INFO - Iter [19050/80000] lr: 7.500e-05, eta: 3:58:27, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2099, decode.acc_seg: 91.3194, loss: 0.2099 +2023-03-04 13:04:23,721 - mmseg - INFO - Iter [19100/80000] lr: 7.500e-05, eta: 3:57:59, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2142, decode.acc_seg: 91.3111, loss: 0.2142 +2023-03-04 13:04:32,303 - mmseg - INFO - Iter [19150/80000] lr: 7.500e-05, eta: 3:57:30, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2123, decode.acc_seg: 91.4313, loss: 0.2123 +2023-03-04 13:04:41,403 - mmseg - INFO - Iter [19200/80000] lr: 7.500e-05, eta: 3:57:05, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2122, decode.acc_seg: 91.2491, loss: 0.2122 +2023-03-04 13:04:50,502 - mmseg - INFO - Iter [19250/80000] lr: 7.500e-05, eta: 3:56:39, time: 0.182, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2143, decode.acc_seg: 91.3143, loss: 0.2143 +2023-03-04 13:04:59,268 - mmseg - INFO - Iter [19300/80000] lr: 7.500e-05, eta: 3:56:11, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.4961, loss: 0.2084 +2023-03-04 13:05:08,002 - mmseg - INFO - Iter [19350/80000] lr: 7.500e-05, eta: 3:55:44, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2214, decode.acc_seg: 91.0317, loss: 0.2214 +2023-03-04 13:05:19,406 - mmseg - INFO - Iter [19400/80000] lr: 7.500e-05, eta: 3:55:31, time: 0.228, data_time: 0.060, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.3709, loss: 0.2066 +2023-03-04 13:05:28,420 - mmseg - INFO - Iter [19450/80000] lr: 7.500e-05, eta: 3:55:05, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2131, decode.acc_seg: 91.1982, loss: 0.2131 +2023-03-04 13:05:37,149 - mmseg - INFO - Iter [19500/80000] lr: 7.500e-05, eta: 3:54:38, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2093, decode.acc_seg: 91.3541, loss: 0.2093 +2023-03-04 13:05:46,581 - mmseg - INFO - Iter [19550/80000] lr: 7.500e-05, eta: 3:54:15, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.3180, loss: 0.2103 +2023-03-04 13:05:55,499 - mmseg - INFO - Iter [19600/80000] lr: 7.500e-05, eta: 3:53:49, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2143, decode.acc_seg: 91.1690, loss: 0.2143 +2023-03-04 13:06:04,523 - mmseg - INFO - Iter [19650/80000] lr: 7.500e-05, eta: 3:53:24, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.6612, loss: 0.2018 +2023-03-04 13:06:13,307 - mmseg - INFO - Iter [19700/80000] lr: 7.500e-05, eta: 3:52:58, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2174, decode.acc_seg: 91.1636, loss: 0.2174 +2023-03-04 13:06:22,278 - mmseg - INFO - Iter [19750/80000] lr: 7.500e-05, eta: 3:52:33, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2109, decode.acc_seg: 91.3916, loss: 0.2109 +2023-03-04 13:06:31,908 - mmseg - INFO - Iter [19800/80000] lr: 7.500e-05, eta: 3:52:12, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2097, decode.acc_seg: 91.3568, loss: 0.2097 +2023-03-04 13:06:41,045 - mmseg - INFO - Iter [19850/80000] lr: 7.500e-05, eta: 3:51:48, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2115, decode.acc_seg: 91.3003, loss: 0.2115 +2023-03-04 13:06:50,082 - mmseg - INFO - Iter [19900/80000] lr: 7.500e-05, eta: 3:51:23, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2106, decode.acc_seg: 91.3148, loss: 0.2106 +2023-03-04 13:06:59,104 - mmseg - INFO - Iter [19950/80000] lr: 7.500e-05, eta: 3:50:59, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2186, decode.acc_seg: 91.0340, loss: 0.2186 +2023-03-04 13:07:10,512 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:07:10,512 - mmseg - INFO - Iter [20000/80000] lr: 7.500e-05, eta: 3:50:47, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2150, decode.acc_seg: 91.2163, loss: 0.2150 +2023-03-04 13:07:19,698 - mmseg - INFO - Iter [20050/80000] lr: 3.750e-05, eta: 3:50:24, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2130, decode.acc_seg: 91.2608, loss: 0.2130 +2023-03-04 13:07:28,474 - mmseg - INFO - Iter [20100/80000] lr: 3.750e-05, eta: 3:49:59, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.2894, loss: 0.2104 +2023-03-04 13:07:37,376 - mmseg - INFO - Iter [20150/80000] lr: 3.750e-05, eta: 3:49:34, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2093, decode.acc_seg: 91.4397, loss: 0.2093 +2023-03-04 13:07:46,578 - mmseg - INFO - Iter [20200/80000] lr: 3.750e-05, eta: 3:49:11, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2086, decode.acc_seg: 91.3074, loss: 0.2086 +2023-03-04 13:07:55,303 - mmseg - INFO - Iter [20250/80000] lr: 3.750e-05, eta: 3:48:46, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.4120, loss: 0.2067 +2023-03-04 13:08:03,910 - mmseg - INFO - Iter [20300/80000] lr: 3.750e-05, eta: 3:48:21, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2184, decode.acc_seg: 91.1236, loss: 0.2184 +2023-03-04 13:08:12,888 - mmseg - INFO - Iter [20350/80000] lr: 3.750e-05, eta: 3:47:57, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.7575, loss: 0.2007 +2023-03-04 13:08:21,784 - mmseg - INFO - Iter [20400/80000] lr: 3.750e-05, eta: 3:47:34, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.4608, loss: 0.2103 +2023-03-04 13:08:30,649 - mmseg - INFO - Iter [20450/80000] lr: 3.750e-05, eta: 3:47:10, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2103, decode.acc_seg: 91.4769, loss: 0.2103 +2023-03-04 13:08:40,411 - mmseg - INFO - Iter [20500/80000] lr: 3.750e-05, eta: 3:46:50, time: 0.195, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2042, decode.acc_seg: 91.6048, loss: 0.2042 +2023-03-04 13:08:49,157 - mmseg - INFO - Iter [20550/80000] lr: 3.750e-05, eta: 3:46:26, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.5206, loss: 0.2090 +2023-03-04 13:08:58,099 - mmseg - INFO - Iter [20600/80000] lr: 3.750e-05, eta: 3:46:03, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2121, decode.acc_seg: 91.4639, loss: 0.2121 +2023-03-04 13:09:09,657 - mmseg - INFO - Iter [20650/80000] lr: 3.750e-05, eta: 3:45:52, time: 0.231, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2094, decode.acc_seg: 91.3661, loss: 0.2094 +2023-03-04 13:09:18,393 - mmseg - INFO - Iter [20700/80000] lr: 3.750e-05, eta: 3:45:28, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2157, decode.acc_seg: 91.0870, loss: 0.2157 +2023-03-04 13:09:27,157 - mmseg - INFO - Iter [20750/80000] lr: 3.750e-05, eta: 3:45:05, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1953, decode.acc_seg: 91.8990, loss: 0.1953 +2023-03-04 13:09:36,685 - mmseg - INFO - Iter [20800/80000] lr: 3.750e-05, eta: 3:44:45, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2042, decode.acc_seg: 91.5203, loss: 0.2042 +2023-03-04 13:09:45,425 - mmseg - INFO - Iter [20850/80000] lr: 3.750e-05, eta: 3:44:21, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.9444, loss: 0.1980 +2023-03-04 13:09:54,839 - mmseg - INFO - Iter [20900/80000] lr: 3.750e-05, eta: 3:44:00, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2113, decode.acc_seg: 91.3751, loss: 0.2113 +2023-03-04 13:10:03,625 - mmseg - INFO - Iter [20950/80000] lr: 3.750e-05, eta: 3:43:37, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2080, decode.acc_seg: 91.5971, loss: 0.2080 +2023-03-04 13:10:12,836 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:10:12,836 - mmseg - INFO - Iter [21000/80000] lr: 3.750e-05, eta: 3:43:16, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.6335, loss: 0.2065 +2023-03-04 13:10:21,812 - mmseg - INFO - Iter [21050/80000] lr: 3.750e-05, eta: 3:42:54, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2095, decode.acc_seg: 91.5893, loss: 0.2095 +2023-03-04 13:10:30,591 - mmseg - INFO - Iter [21100/80000] lr: 3.750e-05, eta: 3:42:31, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2213, decode.acc_seg: 91.0963, loss: 0.2213 +2023-03-04 13:10:39,225 - mmseg - INFO - Iter [21150/80000] lr: 3.750e-05, eta: 3:42:08, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2089, decode.acc_seg: 91.3370, loss: 0.2089 +2023-03-04 13:10:48,409 - mmseg - INFO - Iter [21200/80000] lr: 3.750e-05, eta: 3:41:47, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5901, loss: 0.2059 +2023-03-04 13:10:57,658 - mmseg - INFO - Iter [21250/80000] lr: 3.750e-05, eta: 3:41:27, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5184, loss: 0.2059 +2023-03-04 13:11:09,315 - mmseg - INFO - Iter [21300/80000] lr: 3.750e-05, eta: 3:41:17, time: 0.233, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.3248, loss: 0.2114 +2023-03-04 13:11:18,073 - mmseg - INFO - Iter [21350/80000] lr: 3.750e-05, eta: 3:40:54, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.6891, loss: 0.2030 +2023-03-04 13:11:27,195 - mmseg - INFO - Iter [21400/80000] lr: 3.750e-05, eta: 3:40:33, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.4930, loss: 0.2092 +2023-03-04 13:11:36,098 - mmseg - INFO - Iter [21450/80000] lr: 3.750e-05, eta: 3:40:12, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2071, decode.acc_seg: 91.6045, loss: 0.2071 +2023-03-04 13:11:44,970 - mmseg - INFO - Iter [21500/80000] lr: 3.750e-05, eta: 3:39:50, time: 0.177, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.6296, loss: 0.2052 +2023-03-04 13:11:54,055 - mmseg - INFO - Iter [21550/80000] lr: 3.750e-05, eta: 3:39:29, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2108, decode.acc_seg: 91.2716, loss: 0.2108 +2023-03-04 13:12:03,478 - mmseg - INFO - Iter [21600/80000] lr: 3.750e-05, eta: 3:39:10, time: 0.188, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.4820, loss: 0.2061 +2023-03-04 13:12:12,801 - mmseg - INFO - Iter [21650/80000] lr: 3.750e-05, eta: 3:38:51, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.5668, loss: 0.2015 +2023-03-04 13:12:21,389 - mmseg - INFO - Iter [21700/80000] lr: 3.750e-05, eta: 3:38:28, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.6055, loss: 0.2005 +2023-03-04 13:12:30,730 - mmseg - INFO - Iter [21750/80000] lr: 3.750e-05, eta: 3:38:09, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.4171, loss: 0.2090 +2023-03-04 13:12:39,773 - mmseg - INFO - Iter [21800/80000] lr: 3.750e-05, eta: 3:37:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6253, loss: 0.2061 +2023-03-04 13:12:49,133 - mmseg - INFO - Iter [21850/80000] lr: 3.750e-05, eta: 3:37:29, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2091, decode.acc_seg: 91.5129, loss: 0.2091 +2023-03-04 13:13:00,738 - mmseg - INFO - Iter [21900/80000] lr: 3.750e-05, eta: 3:37:20, time: 0.232, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2073, decode.acc_seg: 91.4861, loss: 0.2073 +2023-03-04 13:13:09,345 - mmseg - INFO - Iter [21950/80000] lr: 3.750e-05, eta: 3:36:57, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.7753, loss: 0.2005 +2023-03-04 13:13:18,440 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:13:18,440 - mmseg - INFO - Iter [22000/80000] lr: 3.750e-05, eta: 3:36:37, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2094, decode.acc_seg: 91.4905, loss: 0.2094 +2023-03-04 13:13:27,267 - mmseg - INFO - Iter [22050/80000] lr: 3.750e-05, eta: 3:36:16, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2054, decode.acc_seg: 91.5169, loss: 0.2054 +2023-03-04 13:13:36,091 - mmseg - INFO - Iter [22100/80000] lr: 3.750e-05, eta: 3:35:55, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.6005, loss: 0.2031 +2023-03-04 13:13:44,885 - mmseg - INFO - Iter [22150/80000] lr: 3.750e-05, eta: 3:35:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.8827, loss: 0.2008 +2023-03-04 13:13:53,697 - mmseg - INFO - Iter [22200/80000] lr: 3.750e-05, eta: 3:35:14, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 92.0201, loss: 0.1954 +2023-03-04 13:14:02,355 - mmseg - INFO - Iter [22250/80000] lr: 3.750e-05, eta: 3:34:52, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.7488, loss: 0.2019 +2023-03-04 13:14:11,819 - mmseg - INFO - Iter [22300/80000] lr: 3.750e-05, eta: 3:34:34, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2153, decode.acc_seg: 91.2050, loss: 0.2153 +2023-03-04 13:14:20,618 - mmseg - INFO - Iter [22350/80000] lr: 3.750e-05, eta: 3:34:14, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.8568, loss: 0.1966 +2023-03-04 13:14:29,613 - mmseg - INFO - Iter [22400/80000] lr: 3.750e-05, eta: 3:33:54, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6159, loss: 0.2010 +2023-03-04 13:14:38,877 - mmseg - INFO - Iter [22450/80000] lr: 3.750e-05, eta: 3:33:35, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2184, decode.acc_seg: 91.0539, loss: 0.2184 +2023-03-04 13:14:48,149 - mmseg - INFO - Iter [22500/80000] lr: 3.750e-05, eta: 3:33:17, time: 0.186, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.3579, loss: 0.2084 +2023-03-04 13:14:59,219 - mmseg - INFO - Iter [22550/80000] lr: 3.750e-05, eta: 3:33:05, time: 0.221, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.7451, loss: 0.1993 +2023-03-04 13:15:08,604 - mmseg - INFO - Iter [22600/80000] lr: 3.750e-05, eta: 3:32:47, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.5875, loss: 0.2062 +2023-03-04 13:15:17,709 - mmseg - INFO - Iter [22650/80000] lr: 3.750e-05, eta: 3:32:28, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.6448, loss: 0.2022 +2023-03-04 13:15:26,806 - mmseg - INFO - Iter [22700/80000] lr: 3.750e-05, eta: 3:32:09, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2055, decode.acc_seg: 91.6683, loss: 0.2055 +2023-03-04 13:15:35,520 - mmseg - INFO - Iter [22750/80000] lr: 3.750e-05, eta: 3:31:49, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2034, decode.acc_seg: 91.6014, loss: 0.2034 +2023-03-04 13:15:44,182 - mmseg - INFO - Iter [22800/80000] lr: 3.750e-05, eta: 3:31:28, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.5573, loss: 0.2018 +2023-03-04 13:15:53,518 - mmseg - INFO - Iter [22850/80000] lr: 3.750e-05, eta: 3:31:11, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.5367, loss: 0.2077 +2023-03-04 13:16:02,664 - mmseg - INFO - Iter [22900/80000] lr: 3.750e-05, eta: 3:30:52, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.7206, loss: 0.2033 +2023-03-04 13:16:12,251 - mmseg - INFO - Iter [22950/80000] lr: 3.750e-05, eta: 3:30:35, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2098, decode.acc_seg: 91.3736, loss: 0.2098 +2023-03-04 13:16:21,470 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:16:21,470 - mmseg - INFO - Iter [23000/80000] lr: 3.750e-05, eta: 3:30:17, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5392, loss: 0.2059 +2023-03-04 13:16:30,480 - mmseg - INFO - Iter [23050/80000] lr: 3.750e-05, eta: 3:29:58, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2109, decode.acc_seg: 91.2617, loss: 0.2109 +2023-03-04 13:16:39,353 - mmseg - INFO - Iter [23100/80000] lr: 3.750e-05, eta: 3:29:39, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.4099, loss: 0.2064 +2023-03-04 13:16:50,838 - mmseg - INFO - Iter [23150/80000] lr: 3.750e-05, eta: 3:29:30, time: 0.230, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.5599, loss: 0.2077 +2023-03-04 13:17:00,483 - mmseg - INFO - Iter [23200/80000] lr: 3.750e-05, eta: 3:29:13, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2063, decode.acc_seg: 91.6114, loss: 0.2063 +2023-03-04 13:17:09,522 - mmseg - INFO - Iter [23250/80000] lr: 3.750e-05, eta: 3:28:55, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8912, loss: 0.1970 +2023-03-04 13:17:18,663 - mmseg - INFO - Iter [23300/80000] lr: 3.750e-05, eta: 3:28:37, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2102, decode.acc_seg: 91.4239, loss: 0.2102 +2023-03-04 13:17:27,271 - mmseg - INFO - Iter [23350/80000] lr: 3.750e-05, eta: 3:28:17, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2034, decode.acc_seg: 91.6640, loss: 0.2034 +2023-03-04 13:17:35,956 - mmseg - INFO - Iter [23400/80000] lr: 3.750e-05, eta: 3:27:57, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6914, loss: 0.2028 +2023-03-04 13:17:45,431 - mmseg - INFO - Iter [23450/80000] lr: 3.750e-05, eta: 3:27:40, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2035, decode.acc_seg: 91.6424, loss: 0.2035 +2023-03-04 13:17:54,321 - mmseg - INFO - Iter [23500/80000] lr: 3.750e-05, eta: 3:27:22, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.4770, loss: 0.2067 +2023-03-04 13:18:03,213 - mmseg - INFO - Iter [23550/80000] lr: 3.750e-05, eta: 3:27:03, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2075, decode.acc_seg: 91.4794, loss: 0.2075 +2023-03-04 13:18:12,429 - mmseg - INFO - Iter [23600/80000] lr: 3.750e-05, eta: 3:26:45, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7474, loss: 0.2021 +2023-03-04 13:18:21,035 - mmseg - INFO - Iter [23650/80000] lr: 3.750e-05, eta: 3:26:26, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.4405, loss: 0.2031 +2023-03-04 13:18:30,013 - mmseg - INFO - Iter [23700/80000] lr: 3.750e-05, eta: 3:26:08, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2081, decode.acc_seg: 91.5527, loss: 0.2081 +2023-03-04 13:18:38,908 - mmseg - INFO - Iter [23750/80000] lr: 3.750e-05, eta: 3:25:49, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2142, decode.acc_seg: 91.2453, loss: 0.2142 +2023-03-04 13:18:50,986 - mmseg - INFO - Iter [23800/80000] lr: 3.750e-05, eta: 3:25:42, time: 0.242, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 91.7833, loss: 0.1946 +2023-03-04 13:19:00,189 - mmseg - INFO - Iter [23850/80000] lr: 3.750e-05, eta: 3:25:25, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6845, loss: 0.2028 +2023-03-04 13:19:09,034 - mmseg - INFO - Iter [23900/80000] lr: 3.750e-05, eta: 3:25:06, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2093, decode.acc_seg: 91.4628, loss: 0.2093 +2023-03-04 13:19:17,999 - mmseg - INFO - Iter [23950/80000] lr: 3.750e-05, eta: 3:24:48, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2069, decode.acc_seg: 91.6044, loss: 0.2069 +2023-03-04 13:19:26,771 - mmseg - INFO - Saving checkpoint at 24000 iterations +2023-03-04 13:19:27,422 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:19:27,422 - mmseg - INFO - Iter [24000/80000] lr: 3.750e-05, eta: 3:24:32, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7657, loss: 0.2020 +2023-03-04 13:19:42,974 - mmseg - INFO - per class results: +2023-03-04 13:19:42,980 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.78 | 89.17 | +| building | 81.27 | 91.74 | +| sky | 94.31 | 97.1 | +| floor | 80.97 | 91.2 | +| tree | 73.44 | 87.44 | +| ceiling | 84.59 | 92.82 | +| road | 81.36 | 89.3 | +| bed | 86.82 | 94.88 | +| windowpane | 59.78 | 77.95 | +| grass | 67.05 | 83.46 | +| cabinet | 59.65 | 72.81 | +| sidewalk | 62.83 | 80.52 | +| person | 78.72 | 91.66 | +| earth | 36.17 | 51.6 | +| door | 44.07 | 55.74 | +| table | 58.85 | 76.19 | +| mountain | 57.71 | 73.26 | +| plant | 50.4 | 61.64 | +| curtain | 73.29 | 82.76 | +| chair | 55.27 | 67.13 | +| car | 80.94 | 92.0 | +| water | 57.51 | 75.51 | +| painting | 69.67 | 85.53 | +| sofa | 63.32 | 79.92 | +| shelf | 42.99 | 59.8 | +| house | 41.95 | 57.1 | +| sea | 59.95 | 77.0 | +| mirror | 62.21 | 68.62 | +| rug | 62.92 | 69.91 | +| field | 31.03 | 43.82 | +| armchair | 38.03 | 56.57 | +| seat | 66.36 | 81.82 | +| fence | 37.76 | 46.44 | +| desk | 45.09 | 68.95 | +| rock | 36.13 | 58.08 | +| wardrobe | 56.34 | 71.26 | +| lamp | 59.66 | 71.52 | +| bathtub | 73.87 | 81.32 | +| railing | 33.46 | 48.02 | +| cushion | 55.4 | 67.73 | +| base | 20.07 | 25.18 | +| box | 22.71 | 30.69 | +| column | 44.66 | 55.12 | +| signboard | 36.9 | 50.94 | +| chest of drawers | 35.27 | 54.26 | +| counter | 29.73 | 37.64 | +| sand | 39.41 | 53.6 | +| sink | 65.78 | 75.11 | +| skyscraper | 52.78 | 67.18 | +| fireplace | 73.92 | 86.02 | +| refrigerator | 71.04 | 86.46 | +| grandstand | 51.93 | 59.73 | +| path | 20.99 | 27.0 | +| stairs | 33.89 | 41.69 | +| runway | 64.88 | 83.01 | +| case | 47.84 | 61.99 | +| pool table | 91.04 | 93.93 | +| pillow | 58.4 | 68.33 | +| screen door | 64.83 | 72.25 | +| stairway | 21.59 | 31.61 | +| river | 11.57 | 21.21 | +| bridge | 33.9 | 39.19 | +| bookcase | 43.23 | 65.79 | +| blind | 37.07 | 41.31 | +| coffee table | 53.67 | 75.58 | +| toilet | 83.47 | 88.56 | +| flower | 38.18 | 54.65 | +| book | 43.31 | 59.11 | +| hill | 14.93 | 21.86 | +| bench | 41.46 | 55.01 | +| countertop | 53.07 | 66.99 | +| stove | 69.72 | 79.96 | +| palm | 48.55 | 69.07 | +| kitchen island | 38.2 | 64.09 | +| computer | 59.34 | 66.83 | +| swivel chair | 44.46 | 59.83 | +| boat | 68.42 | 79.79 | +| bar | 24.06 | 33.23 | +| arcade machine | 70.38 | 73.11 | +| hovel | 30.64 | 33.99 | +| bus | 76.12 | 90.51 | +| towel | 62.38 | 70.86 | +| light | 52.21 | 59.14 | +| truck | 14.97 | 20.08 | +| tower | 6.77 | 10.78 | +| chandelier | 63.24 | 77.99 | +| awning | 23.17 | 27.97 | +| streetlight | 25.0 | 33.19 | +| booth | 40.2 | 42.75 | +| television receiver | 62.8 | 77.5 | +| airplane | 58.12 | 63.36 | +| dirt track | 13.12 | 23.7 | +| apparel | 33.05 | 51.15 | +| pole | 16.8 | 23.27 | +| land | 3.61 | 5.13 | +| bannister | 9.92 | 13.01 | +| escalator | 24.23 | 25.94 | +| ottoman | 41.23 | 62.78 | +| bottle | 33.26 | 50.73 | +| buffet | 39.56 | 45.28 | +| poster | 23.47 | 35.68 | +| stage | 12.8 | 15.72 | +| van | 37.47 | 54.93 | +| ship | 74.78 | 89.86 | +| fountain | 21.14 | 21.63 | +| conveyer belt | 84.49 | 88.4 | +| canopy | 24.17 | 27.37 | +| washer | 78.83 | 80.45 | +| plaything | 21.49 | 29.93 | +| swimming pool | 71.34 | 79.42 | +| stool | 41.6 | 53.16 | +| barrel | 42.57 | 55.39 | +| basket | 24.38 | 41.19 | +| waterfall | 48.56 | 64.81 | +| tent | 94.53 | 97.66 | +| bag | 13.43 | 16.43 | +| minibike | 59.78 | 69.17 | +| cradle | 84.67 | 95.96 | +| oven | 44.43 | 64.69 | +| ball | 41.8 | 47.11 | +| food | 48.72 | 57.08 | +| step | 5.01 | 5.35 | +| tank | 46.52 | 51.22 | +| trade name | 29.36 | 37.61 | +| microwave | 68.74 | 73.43 | +| pot | 29.37 | 32.99 | +| animal | 52.41 | 57.28 | +| bicycle | 54.25 | 67.9 | +| lake | 57.5 | 62.76 | +| dishwasher | 67.44 | 75.45 | +| screen | 70.22 | 83.37 | +| blanket | 19.26 | 22.91 | +| sculpture | 56.8 | 78.52 | +| hood | 54.67 | 61.33 | +| sconce | 39.44 | 45.9 | +| vase | 34.81 | 48.04 | +| traffic light | 32.14 | 47.06 | +| tray | 6.04 | 9.54 | +| ashcan | 42.38 | 50.54 | +| fan | 54.63 | 63.17 | +| pier | 45.98 | 64.97 | +| crt screen | 8.41 | 22.96 | +| plate | 49.57 | 59.98 | +| monitor | 10.69 | 11.81 | +| bulletin board | 43.35 | 59.18 | +| shower | 0.95 | 4.45 | +| radiator | 60.18 | 67.1 | +| glass | 10.75 | 11.47 | +| clock | 30.03 | 32.19 | +| flag | 35.71 | 40.74 | ++---------------------+-------+-------+ +2023-03-04 13:19:42,980 - mmseg - INFO - Summary: +2023-03-04 13:19:42,980 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.33 | 47.36 | 57.94 | ++-------+-------+-------+ +2023-03-04 13:19:43,002 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_16000.pth was removed +2023-03-04 13:19:43,583 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_24000.pth. +2023-03-04 13:19:43,583 - mmseg - INFO - Best mIoU is 0.4736 at 24000 iter. +2023-03-04 13:19:43,583 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:19:43,583 - mmseg - INFO - Iter(val) [250] aAcc: 0.8233, mIoU: 0.4736, mAcc: 0.5794, IoU.background: nan, IoU.wall: 0.7678, IoU.building: 0.8127, IoU.sky: 0.9431, IoU.floor: 0.8097, IoU.tree: 0.7344, IoU.ceiling: 0.8459, IoU.road: 0.8136, IoU.bed : 0.8682, IoU.windowpane: 0.5978, IoU.grass: 0.6705, IoU.cabinet: 0.5965, IoU.sidewalk: 0.6283, IoU.person: 0.7872, IoU.earth: 0.3617, IoU.door: 0.4407, IoU.table: 0.5885, IoU.mountain: 0.5771, IoU.plant: 0.5040, IoU.curtain: 0.7329, IoU.chair: 0.5527, IoU.car: 0.8094, IoU.water: 0.5751, IoU.painting: 0.6967, IoU.sofa: 0.6332, IoU.shelf: 0.4299, IoU.house: 0.4195, IoU.sea: 0.5995, IoU.mirror: 0.6221, IoU.rug: 0.6292, IoU.field: 0.3103, IoU.armchair: 0.3803, IoU.seat: 0.6636, IoU.fence: 0.3776, IoU.desk: 0.4509, IoU.rock: 0.3613, IoU.wardrobe: 0.5634, IoU.lamp: 0.5966, IoU.bathtub: 0.7387, IoU.railing: 0.3346, IoU.cushion: 0.5540, IoU.base: 0.2007, IoU.box: 0.2271, IoU.column: 0.4466, IoU.signboard: 0.3690, IoU.chest of drawers: 0.3527, IoU.counter: 0.2973, IoU.sand: 0.3941, IoU.sink: 0.6578, IoU.skyscraper: 0.5278, IoU.fireplace: 0.7392, IoU.refrigerator: 0.7104, IoU.grandstand: 0.5193, IoU.path: 0.2099, IoU.stairs: 0.3389, IoU.runway: 0.6488, IoU.case: 0.4784, IoU.pool table: 0.9104, IoU.pillow: 0.5840, IoU.screen door: 0.6483, IoU.stairway: 0.2159, IoU.river: 0.1157, IoU.bridge: 0.3390, IoU.bookcase: 0.4323, IoU.blind: 0.3707, IoU.coffee table: 0.5367, IoU.toilet: 0.8347, IoU.flower: 0.3818, IoU.book: 0.4331, IoU.hill: 0.1493, IoU.bench: 0.4146, IoU.countertop: 0.5307, IoU.stove: 0.6972, IoU.palm: 0.4855, IoU.kitchen island: 0.3820, IoU.computer: 0.5934, IoU.swivel chair: 0.4446, IoU.boat: 0.6842, IoU.bar: 0.2406, IoU.arcade machine: 0.7038, IoU.hovel: 0.3064, IoU.bus: 0.7612, IoU.towel: 0.6238, IoU.light: 0.5221, IoU.truck: 0.1497, IoU.tower: 0.0677, IoU.chandelier: 0.6324, IoU.awning: 0.2317, IoU.streetlight: 0.2500, IoU.booth: 0.4020, IoU.television receiver: 0.6280, IoU.airplane: 0.5812, IoU.dirt track: 0.1312, IoU.apparel: 0.3305, IoU.pole: 0.1680, IoU.land: 0.0361, IoU.bannister: 0.0992, IoU.escalator: 0.2423, IoU.ottoman: 0.4123, IoU.bottle: 0.3326, IoU.buffet: 0.3956, IoU.poster: 0.2347, IoU.stage: 0.1280, IoU.van: 0.3747, IoU.ship: 0.7478, IoU.fountain: 0.2114, IoU.conveyer belt: 0.8449, IoU.canopy: 0.2417, IoU.washer: 0.7883, IoU.plaything: 0.2149, IoU.swimming pool: 0.7134, IoU.stool: 0.4160, IoU.barrel: 0.4257, IoU.basket: 0.2438, IoU.waterfall: 0.4856, IoU.tent: 0.9453, IoU.bag: 0.1343, IoU.minibike: 0.5978, IoU.cradle: 0.8467, IoU.oven: 0.4443, IoU.ball: 0.4180, IoU.food: 0.4872, IoU.step: 0.0501, IoU.tank: 0.4652, IoU.trade name: 0.2936, IoU.microwave: 0.6874, IoU.pot: 0.2937, IoU.animal: 0.5241, IoU.bicycle: 0.5425, IoU.lake: 0.5750, IoU.dishwasher: 0.6744, IoU.screen: 0.7022, IoU.blanket: 0.1926, IoU.sculpture: 0.5680, IoU.hood: 0.5467, IoU.sconce: 0.3944, IoU.vase: 0.3481, IoU.traffic light: 0.3214, IoU.tray: 0.0604, IoU.ashcan: 0.4238, IoU.fan: 0.5463, IoU.pier: 0.4598, IoU.crt screen: 0.0841, IoU.plate: 0.4957, IoU.monitor: 0.1069, IoU.bulletin board: 0.4335, IoU.shower: 0.0095, IoU.radiator: 0.6018, IoU.glass: 0.1075, IoU.clock: 0.3003, IoU.flag: 0.3571, Acc.background: nan, Acc.wall: 0.8917, Acc.building: 0.9174, Acc.sky: 0.9710, Acc.floor: 0.9120, Acc.tree: 0.8744, Acc.ceiling: 0.9282, Acc.road: 0.8930, Acc.bed : 0.9488, Acc.windowpane: 0.7795, Acc.grass: 0.8346, Acc.cabinet: 0.7281, Acc.sidewalk: 0.8052, Acc.person: 0.9166, Acc.earth: 0.5160, Acc.door: 0.5574, Acc.table: 0.7619, Acc.mountain: 0.7326, Acc.plant: 0.6164, Acc.curtain: 0.8276, Acc.chair: 0.6713, Acc.car: 0.9200, Acc.water: 0.7551, Acc.painting: 0.8553, Acc.sofa: 0.7992, Acc.shelf: 0.5980, Acc.house: 0.5710, Acc.sea: 0.7700, Acc.mirror: 0.6862, Acc.rug: 0.6991, Acc.field: 0.4382, Acc.armchair: 0.5657, Acc.seat: 0.8182, Acc.fence: 0.4644, Acc.desk: 0.6895, Acc.rock: 0.5808, Acc.wardrobe: 0.7126, Acc.lamp: 0.7152, Acc.bathtub: 0.8132, Acc.railing: 0.4802, Acc.cushion: 0.6773, Acc.base: 0.2518, Acc.box: 0.3069, Acc.column: 0.5512, Acc.signboard: 0.5094, Acc.chest of drawers: 0.5426, Acc.counter: 0.3764, Acc.sand: 0.5360, Acc.sink: 0.7511, Acc.skyscraper: 0.6718, Acc.fireplace: 0.8602, Acc.refrigerator: 0.8646, Acc.grandstand: 0.5973, Acc.path: 0.2700, Acc.stairs: 0.4169, Acc.runway: 0.8301, Acc.case: 0.6199, Acc.pool table: 0.9393, Acc.pillow: 0.6833, Acc.screen door: 0.7225, Acc.stairway: 0.3161, Acc.river: 0.2121, Acc.bridge: 0.3919, Acc.bookcase: 0.6579, Acc.blind: 0.4131, Acc.coffee table: 0.7558, Acc.toilet: 0.8856, Acc.flower: 0.5465, Acc.book: 0.5911, Acc.hill: 0.2186, Acc.bench: 0.5501, Acc.countertop: 0.6699, Acc.stove: 0.7996, Acc.palm: 0.6907, Acc.kitchen island: 0.6409, Acc.computer: 0.6683, Acc.swivel chair: 0.5983, Acc.boat: 0.7979, Acc.bar: 0.3323, Acc.arcade machine: 0.7311, Acc.hovel: 0.3399, Acc.bus: 0.9051, Acc.towel: 0.7086, Acc.light: 0.5914, Acc.truck: 0.2008, Acc.tower: 0.1078, Acc.chandelier: 0.7799, Acc.awning: 0.2797, Acc.streetlight: 0.3319, Acc.booth: 0.4275, Acc.television receiver: 0.7750, Acc.airplane: 0.6336, Acc.dirt track: 0.2370, Acc.apparel: 0.5115, Acc.pole: 0.2327, Acc.land: 0.0513, Acc.bannister: 0.1301, Acc.escalator: 0.2594, Acc.ottoman: 0.6278, Acc.bottle: 0.5073, Acc.buffet: 0.4528, Acc.poster: 0.3568, Acc.stage: 0.1572, Acc.van: 0.5493, Acc.ship: 0.8986, Acc.fountain: 0.2163, Acc.conveyer belt: 0.8840, Acc.canopy: 0.2737, Acc.washer: 0.8045, Acc.plaything: 0.2993, Acc.swimming pool: 0.7942, Acc.stool: 0.5316, Acc.barrel: 0.5539, Acc.basket: 0.4119, Acc.waterfall: 0.6481, Acc.tent: 0.9766, Acc.bag: 0.1643, Acc.minibike: 0.6917, Acc.cradle: 0.9596, Acc.oven: 0.6469, Acc.ball: 0.4711, Acc.food: 0.5708, Acc.step: 0.0535, Acc.tank: 0.5122, Acc.trade name: 0.3761, Acc.microwave: 0.7343, Acc.pot: 0.3299, Acc.animal: 0.5728, Acc.bicycle: 0.6790, Acc.lake: 0.6276, Acc.dishwasher: 0.7545, Acc.screen: 0.8337, Acc.blanket: 0.2291, Acc.sculpture: 0.7852, Acc.hood: 0.6133, Acc.sconce: 0.4590, Acc.vase: 0.4804, Acc.traffic light: 0.4706, Acc.tray: 0.0954, Acc.ashcan: 0.5054, Acc.fan: 0.6317, Acc.pier: 0.6497, Acc.crt screen: 0.2296, Acc.plate: 0.5998, Acc.monitor: 0.1181, Acc.bulletin board: 0.5918, Acc.shower: 0.0445, Acc.radiator: 0.6710, Acc.glass: 0.1147, Acc.clock: 0.3219, Acc.flag: 0.4074 +2023-03-04 13:19:52,644 - mmseg - INFO - Iter [24050/80000] lr: 3.750e-05, eta: 3:25:11, time: 0.504, data_time: 0.331, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.3073, loss: 0.2114 +2023-03-04 13:20:01,525 - mmseg - INFO - Iter [24100/80000] lr: 3.750e-05, eta: 3:24:52, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.4400, loss: 0.2067 +2023-03-04 13:20:10,198 - mmseg - INFO - Iter [24150/80000] lr: 3.750e-05, eta: 3:24:33, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2095, decode.acc_seg: 91.5896, loss: 0.2095 +2023-03-04 13:20:19,038 - mmseg - INFO - Iter [24200/80000] lr: 3.750e-05, eta: 3:24:15, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2122, decode.acc_seg: 91.4677, loss: 0.2122 +2023-03-04 13:20:28,349 - mmseg - INFO - Iter [24250/80000] lr: 3.750e-05, eta: 3:23:58, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.2503, loss: 0.2128 +2023-03-04 13:20:37,131 - mmseg - INFO - Iter [24300/80000] lr: 3.750e-05, eta: 3:23:40, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2087, decode.acc_seg: 91.4959, loss: 0.2087 +2023-03-04 13:20:45,942 - mmseg - INFO - Iter [24350/80000] lr: 3.750e-05, eta: 3:23:21, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.5245, loss: 0.2020 +2023-03-04 13:20:54,908 - mmseg - INFO - Iter [24400/80000] lr: 3.750e-05, eta: 3:23:04, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2083, decode.acc_seg: 91.5697, loss: 0.2083 +2023-03-04 13:21:06,566 - mmseg - INFO - Iter [24450/80000] lr: 3.750e-05, eta: 3:22:55, time: 0.233, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2121, decode.acc_seg: 91.4732, loss: 0.2121 +2023-03-04 13:21:15,546 - mmseg - INFO - Iter [24500/80000] lr: 3.750e-05, eta: 3:22:37, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.7299, loss: 0.2030 +2023-03-04 13:21:24,262 - mmseg - INFO - Iter [24550/80000] lr: 3.750e-05, eta: 3:22:19, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2276, decode.acc_seg: 90.8510, loss: 0.2276 +2023-03-04 13:21:33,029 - mmseg - INFO - Iter [24600/80000] lr: 3.750e-05, eta: 3:22:01, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2094, decode.acc_seg: 91.3820, loss: 0.2094 +2023-03-04 13:21:41,960 - mmseg - INFO - Iter [24650/80000] lr: 3.750e-05, eta: 3:21:43, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.5182, loss: 0.2025 +2023-03-04 13:21:50,654 - mmseg - INFO - Iter [24700/80000] lr: 3.750e-05, eta: 3:21:25, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.6653, loss: 0.2020 +2023-03-04 13:21:59,985 - mmseg - INFO - Iter [24750/80000] lr: 3.750e-05, eta: 3:21:09, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2041, decode.acc_seg: 91.4870, loss: 0.2041 +2023-03-04 13:22:08,913 - mmseg - INFO - Iter [24800/80000] lr: 3.750e-05, eta: 3:20:51, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.6092, loss: 0.2044 +2023-03-04 13:22:17,899 - mmseg - INFO - Iter [24850/80000] lr: 3.750e-05, eta: 3:20:34, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.6005, loss: 0.2048 +2023-03-04 13:22:26,805 - mmseg - INFO - Iter [24900/80000] lr: 3.750e-05, eta: 3:20:16, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.4926, loss: 0.2062 +2023-03-04 13:22:35,891 - mmseg - INFO - Iter [24950/80000] lr: 3.750e-05, eta: 3:20:00, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.6332, loss: 0.2036 +2023-03-04 13:22:44,759 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:22:44,759 - mmseg - INFO - Iter [25000/80000] lr: 3.750e-05, eta: 3:19:42, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2086, decode.acc_seg: 91.4761, loss: 0.2086 +2023-03-04 13:22:56,153 - mmseg - INFO - Iter [25050/80000] lr: 3.750e-05, eta: 3:19:33, time: 0.228, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2165, decode.acc_seg: 91.3999, loss: 0.2165 +2023-03-04 13:23:05,208 - mmseg - INFO - Iter [25100/80000] lr: 3.750e-05, eta: 3:19:16, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2055, decode.acc_seg: 91.6457, loss: 0.2055 +2023-03-04 13:23:14,723 - mmseg - INFO - Iter [25150/80000] lr: 3.750e-05, eta: 3:19:01, time: 0.190, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.5751, loss: 0.2030 +2023-03-04 13:23:23,752 - mmseg - INFO - Iter [25200/80000] lr: 3.750e-05, eta: 3:18:44, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.6352, loss: 0.1990 +2023-03-04 13:23:32,377 - mmseg - INFO - Iter [25250/80000] lr: 3.750e-05, eta: 3:18:26, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.5404, loss: 0.2039 +2023-03-04 13:23:41,163 - mmseg - INFO - Iter [25300/80000] lr: 3.750e-05, eta: 3:18:08, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.6188, loss: 0.2000 +2023-03-04 13:23:50,270 - mmseg - INFO - Iter [25350/80000] lr: 3.750e-05, eta: 3:17:52, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8090, loss: 0.1994 +2023-03-04 13:23:59,327 - mmseg - INFO - Iter [25400/80000] lr: 3.750e-05, eta: 3:17:36, time: 0.181, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7066, loss: 0.2020 +2023-03-04 13:24:08,042 - mmseg - INFO - Iter [25450/80000] lr: 3.750e-05, eta: 3:17:18, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.7029, loss: 0.2036 +2023-03-04 13:24:17,086 - mmseg - INFO - Iter [25500/80000] lr: 3.750e-05, eta: 3:17:01, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.5224, loss: 0.2085 +2023-03-04 13:24:26,451 - mmseg - INFO - Iter [25550/80000] lr: 3.750e-05, eta: 3:16:46, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.5565, loss: 0.2030 +2023-03-04 13:24:35,435 - mmseg - INFO - Iter [25600/80000] lr: 3.750e-05, eta: 3:16:29, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2129, decode.acc_seg: 91.3223, loss: 0.2129 +2023-03-04 13:24:44,144 - mmseg - INFO - Iter [25650/80000] lr: 3.750e-05, eta: 3:16:12, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.4324, loss: 0.2114 +2023-03-04 13:24:55,541 - mmseg - INFO - Iter [25700/80000] lr: 3.750e-05, eta: 3:16:03, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2132, decode.acc_seg: 91.2660, loss: 0.2132 +2023-03-04 13:25:04,223 - mmseg - INFO - Iter [25750/80000] lr: 3.750e-05, eta: 3:15:46, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2117, decode.acc_seg: 91.3313, loss: 0.2117 +2023-03-04 13:25:13,028 - mmseg - INFO - Iter [25800/80000] lr: 3.750e-05, eta: 3:15:29, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.7250, loss: 0.1982 +2023-03-04 13:25:22,062 - mmseg - INFO - Iter [25850/80000] lr: 3.750e-05, eta: 3:15:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.7123, loss: 0.2053 +2023-03-04 13:25:31,108 - mmseg - INFO - Iter [25900/80000] lr: 3.750e-05, eta: 3:14:56, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 91.8755, loss: 0.1936 +2023-03-04 13:25:40,358 - mmseg - INFO - Iter [25950/80000] lr: 3.750e-05, eta: 3:14:41, time: 0.185, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2070, decode.acc_seg: 91.5460, loss: 0.2070 +2023-03-04 13:25:49,524 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:25:49,524 - mmseg - INFO - Iter [26000/80000] lr: 3.750e-05, eta: 3:14:25, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.7445, loss: 0.2012 +2023-03-04 13:25:58,427 - mmseg - INFO - Iter [26050/80000] lr: 3.750e-05, eta: 3:14:09, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2072, decode.acc_seg: 91.5529, loss: 0.2072 +2023-03-04 13:26:07,175 - mmseg - INFO - Iter [26100/80000] lr: 3.750e-05, eta: 3:13:52, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.8196, loss: 0.2006 +2023-03-04 13:26:16,475 - mmseg - INFO - Iter [26150/80000] lr: 3.750e-05, eta: 3:13:36, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 92.0407, loss: 0.1960 +2023-03-04 13:26:25,582 - mmseg - INFO - Iter [26200/80000] lr: 3.750e-05, eta: 3:13:21, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2141, decode.acc_seg: 91.2061, loss: 0.2141 +2023-03-04 13:26:34,942 - mmseg - INFO - Iter [26250/80000] lr: 3.750e-05, eta: 3:13:06, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2054, decode.acc_seg: 91.5981, loss: 0.2054 +2023-03-04 13:26:46,236 - mmseg - INFO - Iter [26300/80000] lr: 3.750e-05, eta: 3:12:56, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2189, decode.acc_seg: 90.8646, loss: 0.2189 +2023-03-04 13:26:55,326 - mmseg - INFO - Iter [26350/80000] lr: 3.750e-05, eta: 3:12:41, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.6595, loss: 0.2051 +2023-03-04 13:27:04,547 - mmseg - INFO - Iter [26400/80000] lr: 3.750e-05, eta: 3:12:25, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.7534, loss: 0.2033 +2023-03-04 13:27:13,198 - mmseg - INFO - Iter [26450/80000] lr: 3.750e-05, eta: 3:12:08, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.5353, loss: 0.2032 +2023-03-04 13:27:21,987 - mmseg - INFO - Iter [26500/80000] lr: 3.750e-05, eta: 3:11:52, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.5376, loss: 0.2036 +2023-03-04 13:27:31,289 - mmseg - INFO - Iter [26550/80000] lr: 3.750e-05, eta: 3:11:37, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.5773, loss: 0.2017 +2023-03-04 13:27:40,230 - mmseg - INFO - Iter [26600/80000] lr: 3.750e-05, eta: 3:11:21, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.3112, loss: 0.2064 +2023-03-04 13:27:49,231 - mmseg - INFO - Iter [26650/80000] lr: 3.750e-05, eta: 3:11:05, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.4187, loss: 0.2077 +2023-03-04 13:27:58,063 - mmseg - INFO - Iter [26700/80000] lr: 3.750e-05, eta: 3:10:49, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1998, decode.acc_seg: 91.7509, loss: 0.1998 +2023-03-04 13:28:07,292 - mmseg - INFO - Iter [26750/80000] lr: 3.750e-05, eta: 3:10:34, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1922, decode.acc_seg: 92.0943, loss: 0.1922 +2023-03-04 13:28:16,049 - mmseg - INFO - Iter [26800/80000] lr: 3.750e-05, eta: 3:10:18, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2118, decode.acc_seg: 91.2092, loss: 0.2118 +2023-03-04 13:28:24,756 - mmseg - INFO - Iter [26850/80000] lr: 3.750e-05, eta: 3:10:01, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.6931, loss: 0.2059 +2023-03-04 13:28:33,502 - mmseg - INFO - Iter [26900/80000] lr: 3.750e-05, eta: 3:09:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.7905, loss: 0.1991 +2023-03-04 13:28:44,862 - mmseg - INFO - Iter [26950/80000] lr: 3.750e-05, eta: 3:09:36, time: 0.227, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2113, decode.acc_seg: 91.3397, loss: 0.2113 +2023-03-04 13:28:53,670 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:28:53,670 - mmseg - INFO - Iter [27000/80000] lr: 3.750e-05, eta: 3:09:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.5953, loss: 0.2044 +2023-03-04 13:29:02,378 - mmseg - INFO - Iter [27050/80000] lr: 3.750e-05, eta: 3:09:04, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2088, decode.acc_seg: 91.4465, loss: 0.2088 +2023-03-04 13:29:11,586 - mmseg - INFO - Iter [27100/80000] lr: 3.750e-05, eta: 3:08:49, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8384, loss: 0.1986 +2023-03-04 13:29:20,441 - mmseg - INFO - Iter [27150/80000] lr: 3.750e-05, eta: 3:08:33, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2124, decode.acc_seg: 91.2671, loss: 0.2124 +2023-03-04 13:29:29,267 - mmseg - INFO - Iter [27200/80000] lr: 3.750e-05, eta: 3:08:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.7774, loss: 0.2024 +2023-03-04 13:29:38,472 - mmseg - INFO - Iter [27250/80000] lr: 3.750e-05, eta: 3:08:02, time: 0.184, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2047, decode.acc_seg: 91.6400, loss: 0.2047 +2023-03-04 13:29:47,749 - mmseg - INFO - Iter [27300/80000] lr: 3.750e-05, eta: 3:07:48, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2141, decode.acc_seg: 91.1505, loss: 0.2141 +2023-03-04 13:29:56,515 - mmseg - INFO - Iter [27350/80000] lr: 3.750e-05, eta: 3:07:32, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2100, decode.acc_seg: 91.4123, loss: 0.2100 +2023-03-04 13:30:05,415 - mmseg - INFO - Iter [27400/80000] lr: 3.750e-05, eta: 3:07:16, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8150, loss: 0.1976 +2023-03-04 13:30:14,242 - mmseg - INFO - Iter [27450/80000] lr: 3.750e-05, eta: 3:07:01, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.7768, loss: 0.1992 +2023-03-04 13:30:23,366 - mmseg - INFO - Iter [27500/80000] lr: 3.750e-05, eta: 3:06:46, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.5086, loss: 0.2092 +2023-03-04 13:30:32,558 - mmseg - INFO - Iter [27550/80000] lr: 3.750e-05, eta: 3:06:31, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2037, decode.acc_seg: 91.6781, loss: 0.2037 +2023-03-04 13:30:43,900 - mmseg - INFO - Iter [27600/80000] lr: 3.750e-05, eta: 3:06:22, time: 0.227, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2148, decode.acc_seg: 91.3404, loss: 0.2148 +2023-03-04 13:30:53,199 - mmseg - INFO - Iter [27650/80000] lr: 3.750e-05, eta: 3:06:08, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2118, decode.acc_seg: 91.3478, loss: 0.2118 +2023-03-04 13:31:01,843 - mmseg - INFO - Iter [27700/80000] lr: 3.750e-05, eta: 3:05:52, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.6295, loss: 0.2048 +2023-03-04 13:31:10,703 - mmseg - INFO - Iter [27750/80000] lr: 3.750e-05, eta: 3:05:36, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2119, decode.acc_seg: 91.4042, loss: 0.2119 +2023-03-04 13:31:19,792 - mmseg - INFO - Iter [27800/80000] lr: 3.750e-05, eta: 3:05:22, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.6750, loss: 0.2020 +2023-03-04 13:31:28,499 - mmseg - INFO - Iter [27850/80000] lr: 3.750e-05, eta: 3:05:06, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.4942, loss: 0.2084 +2023-03-04 13:31:37,790 - mmseg - INFO - Iter [27900/80000] lr: 3.750e-05, eta: 3:04:52, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2126, decode.acc_seg: 91.3247, loss: 0.2126 +2023-03-04 13:31:47,216 - mmseg - INFO - Iter [27950/80000] lr: 3.750e-05, eta: 3:04:38, time: 0.189, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1999, decode.acc_seg: 91.6950, loss: 0.1999 +2023-03-04 13:31:56,106 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:31:56,106 - mmseg - INFO - Iter [28000/80000] lr: 3.750e-05, eta: 3:04:23, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.0645, loss: 0.1929 +2023-03-04 13:32:05,039 - mmseg - INFO - Iter [28050/80000] lr: 3.750e-05, eta: 3:04:08, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 92.0457, loss: 0.1988 +2023-03-04 13:32:14,012 - mmseg - INFO - Iter [28100/80000] lr: 3.750e-05, eta: 3:03:53, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2041, decode.acc_seg: 91.6208, loss: 0.2041 +2023-03-04 13:32:22,673 - mmseg - INFO - Iter [28150/80000] lr: 3.750e-05, eta: 3:03:37, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2102, decode.acc_seg: 91.3971, loss: 0.2102 +2023-03-04 13:32:34,221 - mmseg - INFO - Iter [28200/80000] lr: 3.750e-05, eta: 3:03:29, time: 0.231, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7602, loss: 0.2002 +2023-03-04 13:32:43,178 - mmseg - INFO - Iter [28250/80000] lr: 3.750e-05, eta: 3:03:14, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2074, decode.acc_seg: 91.3787, loss: 0.2074 +2023-03-04 13:32:52,158 - mmseg - INFO - Iter [28300/80000] lr: 3.750e-05, eta: 3:02:59, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.6551, loss: 0.2043 +2023-03-04 13:33:01,410 - mmseg - INFO - Iter [28350/80000] lr: 3.750e-05, eta: 3:02:45, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2106, decode.acc_seg: 91.4397, loss: 0.2106 +2023-03-04 13:33:10,529 - mmseg - INFO - Iter [28400/80000] lr: 3.750e-05, eta: 3:02:31, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.4480, loss: 0.2062 +2023-03-04 13:33:19,294 - mmseg - INFO - Iter [28450/80000] lr: 3.750e-05, eta: 3:02:15, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.7140, loss: 0.1992 +2023-03-04 13:33:27,952 - mmseg - INFO - Iter [28500/80000] lr: 3.750e-05, eta: 3:02:00, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.6152, loss: 0.2096 +2023-03-04 13:33:36,723 - mmseg - INFO - Iter [28550/80000] lr: 3.750e-05, eta: 3:01:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.5892, loss: 0.2048 +2023-03-04 13:33:46,141 - mmseg - INFO - Iter [28600/80000] lr: 3.750e-05, eta: 3:01:31, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2080, decode.acc_seg: 91.6257, loss: 0.2080 +2023-03-04 13:33:54,910 - mmseg - INFO - Iter [28650/80000] lr: 3.750e-05, eta: 3:01:16, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.6807, loss: 0.2033 +2023-03-04 13:34:03,563 - mmseg - INFO - Iter [28700/80000] lr: 3.750e-05, eta: 3:01:01, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.5743, loss: 0.2021 +2023-03-04 13:34:12,597 - mmseg - INFO - Iter [28750/80000] lr: 3.750e-05, eta: 3:00:46, time: 0.181, data_time: 0.006, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.6527, loss: 0.2011 +2023-03-04 13:34:21,363 - mmseg - INFO - Iter [28800/80000] lr: 3.750e-05, eta: 3:00:31, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.6409, loss: 0.2031 +2023-03-04 13:34:32,669 - mmseg - INFO - Iter [28850/80000] lr: 3.750e-05, eta: 3:00:22, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2075, decode.acc_seg: 91.4611, loss: 0.2075 +2023-03-04 13:34:41,817 - mmseg - INFO - Iter [28900/80000] lr: 3.750e-05, eta: 3:00:08, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.6247, loss: 0.2058 +2023-03-04 13:34:50,684 - mmseg - INFO - Iter [28950/80000] lr: 3.750e-05, eta: 2:59:53, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2088, decode.acc_seg: 91.6241, loss: 0.2088 +2023-03-04 13:34:59,933 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:34:59,933 - mmseg - INFO - Iter [29000/80000] lr: 3.750e-05, eta: 2:59:40, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.8418, loss: 0.2010 +2023-03-04 13:35:08,616 - mmseg - INFO - Iter [29050/80000] lr: 3.750e-05, eta: 2:59:25, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.6508, loss: 0.2009 +2023-03-04 13:35:17,256 - mmseg - INFO - Iter [29100/80000] lr: 3.750e-05, eta: 2:59:09, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.9521, loss: 0.1965 +2023-03-04 13:35:25,922 - mmseg - INFO - Iter [29150/80000] lr: 3.750e-05, eta: 2:58:54, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.5450, loss: 0.2043 +2023-03-04 13:35:34,854 - mmseg - INFO - Iter [29200/80000] lr: 3.750e-05, eta: 2:58:40, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2095, decode.acc_seg: 91.4337, loss: 0.2095 +2023-03-04 13:35:43,529 - mmseg - INFO - Iter [29250/80000] lr: 3.750e-05, eta: 2:58:25, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2095, decode.acc_seg: 91.3528, loss: 0.2095 +2023-03-04 13:35:52,534 - mmseg - INFO - Iter [29300/80000] lr: 3.750e-05, eta: 2:58:10, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.2953, loss: 0.2084 +2023-03-04 13:36:01,633 - mmseg - INFO - Iter [29350/80000] lr: 3.750e-05, eta: 2:57:57, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2075, decode.acc_seg: 91.5191, loss: 0.2075 +2023-03-04 13:36:10,522 - mmseg - INFO - Iter [29400/80000] lr: 3.750e-05, eta: 2:57:42, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 92.1253, loss: 0.1948 +2023-03-04 13:36:19,553 - mmseg - INFO - Iter [29450/80000] lr: 3.750e-05, eta: 2:57:28, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6703, loss: 0.2025 +2023-03-04 13:36:30,770 - mmseg - INFO - Iter [29500/80000] lr: 3.750e-05, eta: 2:57:19, time: 0.224, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.4323, loss: 0.2067 +2023-03-04 13:36:39,394 - mmseg - INFO - Iter [29550/80000] lr: 3.750e-05, eta: 2:57:04, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2089, decode.acc_seg: 91.3480, loss: 0.2089 +2023-03-04 13:36:48,338 - mmseg - INFO - Iter [29600/80000] lr: 3.750e-05, eta: 2:56:50, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.7871, loss: 0.2009 +2023-03-04 13:36:57,350 - mmseg - INFO - Iter [29650/80000] lr: 3.750e-05, eta: 2:56:36, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.6703, loss: 0.2013 +2023-03-04 13:37:06,072 - mmseg - INFO - Iter [29700/80000] lr: 3.750e-05, eta: 2:56:21, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.6504, loss: 0.2017 +2023-03-04 13:37:15,584 - mmseg - INFO - Iter [29750/80000] lr: 3.750e-05, eta: 2:56:08, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.7211, loss: 0.2077 +2023-03-04 13:37:24,273 - mmseg - INFO - Iter [29800/80000] lr: 3.750e-05, eta: 2:55:54, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8422, loss: 0.1986 +2023-03-04 13:37:32,838 - mmseg - INFO - Iter [29850/80000] lr: 3.750e-05, eta: 2:55:39, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.5913, loss: 0.2040 +2023-03-04 13:37:41,783 - mmseg - INFO - Iter [29900/80000] lr: 3.750e-05, eta: 2:55:24, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2107, decode.acc_seg: 91.3644, loss: 0.2107 +2023-03-04 13:37:50,745 - mmseg - INFO - Iter [29950/80000] lr: 3.750e-05, eta: 2:55:10, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.7204, loss: 0.2025 +2023-03-04 13:37:59,530 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:37:59,531 - mmseg - INFO - Iter [30000/80000] lr: 3.750e-05, eta: 2:54:56, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2127, decode.acc_seg: 91.2244, loss: 0.2127 +2023-03-04 13:38:08,189 - mmseg - INFO - Iter [30050/80000] lr: 1.875e-05, eta: 2:54:41, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 92.0222, loss: 0.1933 +2023-03-04 13:38:19,239 - mmseg - INFO - Iter [30100/80000] lr: 1.875e-05, eta: 2:54:32, time: 0.221, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.5617, loss: 0.2052 +2023-03-04 13:38:28,165 - mmseg - INFO - Iter [30150/80000] lr: 1.875e-05, eta: 2:54:18, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.7708, loss: 0.2017 +2023-03-04 13:38:36,910 - mmseg - INFO - Iter [30200/80000] lr: 1.875e-05, eta: 2:54:04, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.5757, loss: 0.2066 +2023-03-04 13:38:45,893 - mmseg - INFO - Iter [30250/80000] lr: 1.875e-05, eta: 2:53:50, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.4933, loss: 0.2059 +2023-03-04 13:38:54,844 - mmseg - INFO - Iter [30300/80000] lr: 1.875e-05, eta: 2:53:36, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2037, decode.acc_seg: 91.6790, loss: 0.2037 +2023-03-04 13:39:03,940 - mmseg - INFO - Iter [30350/80000] lr: 1.875e-05, eta: 2:53:22, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 91.9796, loss: 0.1920 +2023-03-04 13:39:13,242 - mmseg - INFO - Iter [30400/80000] lr: 1.875e-05, eta: 2:53:09, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.4012, loss: 0.2092 +2023-03-04 13:39:22,222 - mmseg - INFO - Iter [30450/80000] lr: 1.875e-05, eta: 2:52:56, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.8783, loss: 0.2018 +2023-03-04 13:39:31,128 - mmseg - INFO - Iter [30500/80000] lr: 1.875e-05, eta: 2:52:42, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2128, decode.acc_seg: 91.4278, loss: 0.2128 +2023-03-04 13:39:39,777 - mmseg - INFO - Iter [30550/80000] lr: 1.875e-05, eta: 2:52:27, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.9256, loss: 0.1960 +2023-03-04 13:39:48,584 - mmseg - INFO - Iter [30600/80000] lr: 1.875e-05, eta: 2:52:13, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.6120, loss: 0.2060 +2023-03-04 13:39:57,384 - mmseg - INFO - Iter [30650/80000] lr: 1.875e-05, eta: 2:51:59, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.6498, loss: 0.2036 +2023-03-04 13:40:07,070 - mmseg - INFO - Iter [30700/80000] lr: 1.875e-05, eta: 2:51:47, time: 0.194, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6550, loss: 0.2025 +2023-03-04 13:40:18,482 - mmseg - INFO - Iter [30750/80000] lr: 1.875e-05, eta: 2:51:39, time: 0.228, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.6282, loss: 0.2011 +2023-03-04 13:40:27,280 - mmseg - INFO - Iter [30800/80000] lr: 1.875e-05, eta: 2:51:25, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2083, decode.acc_seg: 91.4892, loss: 0.2083 +2023-03-04 13:40:35,902 - mmseg - INFO - Iter [30850/80000] lr: 1.875e-05, eta: 2:51:10, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.4082, loss: 0.2044 +2023-03-04 13:40:44,648 - mmseg - INFO - Iter [30900/80000] lr: 1.875e-05, eta: 2:50:56, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.8905, loss: 0.1995 +2023-03-04 13:40:53,256 - mmseg - INFO - Iter [30950/80000] lr: 1.875e-05, eta: 2:50:42, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.7812, loss: 0.2016 +2023-03-04 13:41:01,891 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:41:01,891 - mmseg - INFO - Iter [31000/80000] lr: 1.875e-05, eta: 2:50:27, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9467, loss: 0.1976 +2023-03-04 13:41:10,603 - mmseg - INFO - Iter [31050/80000] lr: 1.875e-05, eta: 2:50:13, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2098, decode.acc_seg: 91.3561, loss: 0.2098 +2023-03-04 13:41:19,495 - mmseg - INFO - Iter [31100/80000] lr: 1.875e-05, eta: 2:50:00, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.6921, loss: 0.2045 +2023-03-04 13:41:28,550 - mmseg - INFO - Iter [31150/80000] lr: 1.875e-05, eta: 2:49:46, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.6990, loss: 0.2011 +2023-03-04 13:41:37,425 - mmseg - INFO - Iter [31200/80000] lr: 1.875e-05, eta: 2:49:33, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0711, loss: 0.1926 +2023-03-04 13:41:46,110 - mmseg - INFO - Iter [31250/80000] lr: 1.875e-05, eta: 2:49:18, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 92.0175, loss: 0.1942 +2023-03-04 13:41:55,045 - mmseg - INFO - Iter [31300/80000] lr: 1.875e-05, eta: 2:49:05, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8371, loss: 0.1985 +2023-03-04 13:42:06,589 - mmseg - INFO - Iter [31350/80000] lr: 1.875e-05, eta: 2:48:57, time: 0.231, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2142, decode.acc_seg: 91.2091, loss: 0.2142 +2023-03-04 13:42:15,558 - mmseg - INFO - Iter [31400/80000] lr: 1.875e-05, eta: 2:48:43, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.6292, loss: 0.2009 +2023-03-04 13:42:24,594 - mmseg - INFO - Iter [31450/80000] lr: 1.875e-05, eta: 2:48:30, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8665, loss: 0.1994 +2023-03-04 13:42:33,468 - mmseg - INFO - Iter [31500/80000] lr: 1.875e-05, eta: 2:48:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.6718, loss: 0.1994 +2023-03-04 13:42:42,219 - mmseg - INFO - Iter [31550/80000] lr: 1.875e-05, eta: 2:48:03, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.3868, loss: 0.2076 +2023-03-04 13:42:51,208 - mmseg - INFO - Iter [31600/80000] lr: 1.875e-05, eta: 2:47:49, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.7794, loss: 0.1993 +2023-03-04 13:43:00,106 - mmseg - INFO - Iter [31650/80000] lr: 1.875e-05, eta: 2:47:36, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2078, decode.acc_seg: 91.4117, loss: 0.2078 +2023-03-04 13:43:08,922 - mmseg - INFO - Iter [31700/80000] lr: 1.875e-05, eta: 2:47:22, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.5070, loss: 0.2048 +2023-03-04 13:43:17,676 - mmseg - INFO - Iter [31750/80000] lr: 1.875e-05, eta: 2:47:09, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.8575, loss: 0.2020 +2023-03-04 13:43:26,598 - mmseg - INFO - Iter [31800/80000] lr: 1.875e-05, eta: 2:46:55, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.6815, loss: 0.2009 +2023-03-04 13:43:35,273 - mmseg - INFO - Iter [31850/80000] lr: 1.875e-05, eta: 2:46:41, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.4284, loss: 0.2090 +2023-03-04 13:43:44,668 - mmseg - INFO - Iter [31900/80000] lr: 1.875e-05, eta: 2:46:29, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1911, decode.acc_seg: 92.1423, loss: 0.1911 +2023-03-04 13:43:53,612 - mmseg - INFO - Iter [31950/80000] lr: 1.875e-05, eta: 2:46:16, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7853, loss: 0.2002 +2023-03-04 13:44:04,676 - mmseg - INFO - Saving checkpoint at 32000 iterations +2023-03-04 13:44:05,453 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:44:05,453 - mmseg - INFO - Iter [32000/80000] lr: 1.875e-05, eta: 2:46:08, time: 0.237, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.8057, loss: 0.2021 +2023-03-04 13:44:21,128 - mmseg - INFO - per class results: +2023-03-04 13:44:21,134 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 76.99 | 88.55 | +| building | 81.46 | 91.38 | +| sky | 94.37 | 97.36 | +| floor | 81.23 | 90.96 | +| tree | 74.02 | 87.4 | +| ceiling | 84.76 | 93.04 | +| road | 81.69 | 90.29 | +| bed | 86.73 | 95.84 | +| windowpane | 60.12 | 77.34 | +| grass | 66.63 | 83.61 | +| cabinet | 59.73 | 73.35 | +| sidewalk | 63.78 | 77.64 | +| person | 79.26 | 91.37 | +| earth | 34.92 | 47.76 | +| door | 44.77 | 59.46 | +| table | 59.25 | 76.14 | +| mountain | 57.2 | 72.62 | +| plant | 50.38 | 63.39 | +| curtain | 73.27 | 82.58 | +| chair | 55.79 | 69.88 | +| car | 80.79 | 92.2 | +| water | 57.59 | 75.56 | +| painting | 70.53 | 86.43 | +| sofa | 63.12 | 81.94 | +| shelf | 42.94 | 60.76 | +| house | 43.71 | 61.99 | +| sea | 60.58 | 76.95 | +| mirror | 64.27 | 72.6 | +| rug | 64.03 | 71.87 | +| field | 30.78 | 45.68 | +| armchair | 36.99 | 53.33 | +| seat | 66.21 | 82.67 | +| fence | 41.17 | 54.85 | +| desk | 45.9 | 66.09 | +| rock | 36.38 | 58.28 | +| wardrobe | 56.65 | 69.94 | +| lamp | 59.87 | 74.61 | +| bathtub | 74.93 | 83.2 | +| railing | 33.77 | 48.25 | +| cushion | 54.5 | 64.86 | +| base | 18.1 | 21.97 | +| box | 23.3 | 32.27 | +| column | 44.18 | 53.87 | +| signboard | 37.51 | 52.53 | +| chest of drawers | 35.54 | 55.45 | +| counter | 30.79 | 39.78 | +| sand | 42.4 | 57.83 | +| sink | 66.7 | 77.46 | +| skyscraper | 51.2 | 64.7 | +| fireplace | 72.81 | 85.92 | +| refrigerator | 69.68 | 87.65 | +| grandstand | 53.58 | 62.62 | +| path | 20.95 | 29.65 | +| stairs | 32.69 | 41.0 | +| runway | 66.5 | 85.4 | +| case | 46.54 | 55.61 | +| pool table | 91.42 | 94.41 | +| pillow | 59.3 | 70.18 | +| screen door | 67.97 | 75.95 | +| stairway | 22.55 | 35.65 | +| river | 12.31 | 23.5 | +| bridge | 32.91 | 39.21 | +| bookcase | 44.21 | 65.29 | +| blind | 42.24 | 49.87 | +| coffee table | 52.7 | 76.83 | +| toilet | 82.7 | 89.62 | +| flower | 38.06 | 53.28 | +| book | 43.16 | 63.2 | +| hill | 13.1 | 20.13 | +| bench | 42.2 | 53.81 | +| countertop | 52.66 | 69.36 | +| stove | 69.9 | 78.93 | +| palm | 48.33 | 68.16 | +| kitchen island | 37.8 | 56.5 | +| computer | 59.48 | 70.05 | +| swivel chair | 42.2 | 53.33 | +| boat | 69.33 | 83.18 | +| bar | 23.26 | 31.37 | +| arcade machine | 69.92 | 72.92 | +| hovel | 33.1 | 38.2 | +| bus | 77.59 | 90.45 | +| towel | 61.19 | 70.63 | +| light | 52.47 | 58.49 | +| truck | 17.43 | 23.09 | +| tower | 7.16 | 11.52 | +| chandelier | 62.98 | 77.83 | +| awning | 23.37 | 27.18 | +| streetlight | 25.69 | 34.48 | +| booth | 43.43 | 45.59 | +| television receiver | 63.88 | 75.98 | +| airplane | 58.54 | 65.03 | +| dirt track | 17.94 | 55.13 | +| apparel | 34.79 | 49.83 | +| pole | 16.04 | 21.43 | +| land | 4.52 | 6.43 | +| bannister | 10.81 | 14.47 | +| escalator | 23.56 | 24.75 | +| ottoman | 41.7 | 57.26 | +| bottle | 35.6 | 58.85 | +| buffet | 37.94 | 44.04 | +| poster | 22.42 | 32.91 | +| stage | 13.76 | 17.48 | +| van | 38.03 | 53.85 | +| ship | 73.13 | 89.55 | +| fountain | 19.07 | 19.39 | +| conveyer belt | 84.66 | 89.42 | +| canopy | 25.2 | 27.99 | +| washer | 79.17 | 81.11 | +| plaything | 19.96 | 28.87 | +| swimming pool | 72.64 | 81.36 | +| stool | 42.81 | 55.69 | +| barrel | 49.59 | 53.91 | +| basket | 25.05 | 37.56 | +| waterfall | 48.51 | 66.46 | +| tent | 94.02 | 97.69 | +| bag | 16.25 | 22.76 | +| minibike | 62.33 | 75.16 | +| cradle | 84.39 | 96.26 | +| oven | 47.61 | 67.03 | +| ball | 43.66 | 52.77 | +| food | 52.83 | 63.61 | +| step | 3.65 | 3.86 | +| tank | 49.43 | 55.45 | +| trade name | 27.83 | 32.78 | +| microwave | 71.11 | 78.11 | +| pot | 30.43 | 34.33 | +| animal | 52.19 | 59.9 | +| bicycle | 52.76 | 74.3 | +| lake | 57.46 | 62.97 | +| dishwasher | 62.55 | 76.63 | +| screen | 70.41 | 83.62 | +| blanket | 16.67 | 18.75 | +| sculpture | 56.64 | 78.14 | +| hood | 55.75 | 65.05 | +| sconce | 41.3 | 49.84 | +| vase | 36.34 | 51.09 | +| traffic light | 32.17 | 47.6 | +| tray | 5.72 | 8.76 | +| ashcan | 41.17 | 55.51 | +| fan | 56.75 | 68.94 | +| pier | 47.78 | 61.22 | +| crt screen | 9.07 | 23.02 | +| plate | 49.92 | 65.31 | +| monitor | 19.5 | 23.03 | +| bulletin board | 42.46 | 58.85 | +| shower | 1.71 | 6.84 | +| radiator | 60.28 | 69.71 | +| glass | 12.76 | 14.6 | +| clock | 31.99 | 34.53 | +| flag | 33.89 | 37.17 | ++---------------------+-------+-------+ +2023-03-04 13:44:21,134 - mmseg - INFO - Summary: +2023-03-04 13:44:21,134 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.45 | 47.84 | 59.01 | ++-------+-------+-------+ +2023-03-04 13:44:21,158 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_24000.pth was removed +2023-03-04 13:44:21,766 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2023-03-04 13:44:21,766 - mmseg - INFO - Best mIoU is 0.4784 at 32000 iter. +2023-03-04 13:44:21,766 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:44:21,767 - mmseg - INFO - Iter(val) [250] aAcc: 0.8245, mIoU: 0.4784, mAcc: 0.5901, IoU.background: nan, IoU.wall: 0.7699, IoU.building: 0.8146, IoU.sky: 0.9437, IoU.floor: 0.8123, IoU.tree: 0.7402, IoU.ceiling: 0.8476, IoU.road: 0.8169, IoU.bed : 0.8673, IoU.windowpane: 0.6012, IoU.grass: 0.6663, IoU.cabinet: 0.5973, IoU.sidewalk: 0.6378, IoU.person: 0.7926, IoU.earth: 0.3492, IoU.door: 0.4477, IoU.table: 0.5925, IoU.mountain: 0.5720, IoU.plant: 0.5038, IoU.curtain: 0.7327, IoU.chair: 0.5579, IoU.car: 0.8079, IoU.water: 0.5759, IoU.painting: 0.7053, IoU.sofa: 0.6312, IoU.shelf: 0.4294, IoU.house: 0.4371, IoU.sea: 0.6058, IoU.mirror: 0.6427, IoU.rug: 0.6403, IoU.field: 0.3078, IoU.armchair: 0.3699, IoU.seat: 0.6621, IoU.fence: 0.4117, IoU.desk: 0.4590, IoU.rock: 0.3638, IoU.wardrobe: 0.5665, IoU.lamp: 0.5987, IoU.bathtub: 0.7493, IoU.railing: 0.3377, IoU.cushion: 0.5450, IoU.base: 0.1810, IoU.box: 0.2330, IoU.column: 0.4418, IoU.signboard: 0.3751, IoU.chest of drawers: 0.3554, IoU.counter: 0.3079, IoU.sand: 0.4240, IoU.sink: 0.6670, IoU.skyscraper: 0.5120, IoU.fireplace: 0.7281, IoU.refrigerator: 0.6968, IoU.grandstand: 0.5358, IoU.path: 0.2095, IoU.stairs: 0.3269, IoU.runway: 0.6650, IoU.case: 0.4654, IoU.pool table: 0.9142, IoU.pillow: 0.5930, IoU.screen door: 0.6797, IoU.stairway: 0.2255, IoU.river: 0.1231, IoU.bridge: 0.3291, IoU.bookcase: 0.4421, IoU.blind: 0.4224, IoU.coffee table: 0.5270, IoU.toilet: 0.8270, IoU.flower: 0.3806, IoU.book: 0.4316, IoU.hill: 0.1310, IoU.bench: 0.4220, IoU.countertop: 0.5266, IoU.stove: 0.6990, IoU.palm: 0.4833, IoU.kitchen island: 0.3780, IoU.computer: 0.5948, IoU.swivel chair: 0.4220, IoU.boat: 0.6933, IoU.bar: 0.2326, IoU.arcade machine: 0.6992, IoU.hovel: 0.3310, IoU.bus: 0.7759, IoU.towel: 0.6119, IoU.light: 0.5247, IoU.truck: 0.1743, IoU.tower: 0.0716, IoU.chandelier: 0.6298, IoU.awning: 0.2337, IoU.streetlight: 0.2569, IoU.booth: 0.4343, IoU.television receiver: 0.6388, IoU.airplane: 0.5854, IoU.dirt track: 0.1794, IoU.apparel: 0.3479, IoU.pole: 0.1604, IoU.land: 0.0452, IoU.bannister: 0.1081, IoU.escalator: 0.2356, IoU.ottoman: 0.4170, IoU.bottle: 0.3560, IoU.buffet: 0.3794, IoU.poster: 0.2242, IoU.stage: 0.1376, IoU.van: 0.3803, IoU.ship: 0.7313, IoU.fountain: 0.1907, IoU.conveyer belt: 0.8466, IoU.canopy: 0.2520, IoU.washer: 0.7917, IoU.plaything: 0.1996, IoU.swimming pool: 0.7264, IoU.stool: 0.4281, IoU.barrel: 0.4959, IoU.basket: 0.2505, IoU.waterfall: 0.4851, IoU.tent: 0.9402, IoU.bag: 0.1625, IoU.minibike: 0.6233, IoU.cradle: 0.8439, IoU.oven: 0.4761, IoU.ball: 0.4366, IoU.food: 0.5283, IoU.step: 0.0365, IoU.tank: 0.4943, IoU.trade name: 0.2783, IoU.microwave: 0.7111, IoU.pot: 0.3043, IoU.animal: 0.5219, IoU.bicycle: 0.5276, IoU.lake: 0.5746, IoU.dishwasher: 0.6255, IoU.screen: 0.7041, IoU.blanket: 0.1667, IoU.sculpture: 0.5664, IoU.hood: 0.5575, IoU.sconce: 0.4130, IoU.vase: 0.3634, IoU.traffic light: 0.3217, IoU.tray: 0.0572, IoU.ashcan: 0.4117, IoU.fan: 0.5675, IoU.pier: 0.4778, IoU.crt screen: 0.0907, IoU.plate: 0.4992, IoU.monitor: 0.1950, IoU.bulletin board: 0.4246, IoU.shower: 0.0171, IoU.radiator: 0.6028, IoU.glass: 0.1276, IoU.clock: 0.3199, IoU.flag: 0.3389, Acc.background: nan, Acc.wall: 0.8855, Acc.building: 0.9138, Acc.sky: 0.9736, Acc.floor: 0.9096, Acc.tree: 0.8740, Acc.ceiling: 0.9304, Acc.road: 0.9029, Acc.bed : 0.9584, Acc.windowpane: 0.7734, Acc.grass: 0.8361, Acc.cabinet: 0.7335, Acc.sidewalk: 0.7764, Acc.person: 0.9137, Acc.earth: 0.4776, Acc.door: 0.5946, Acc.table: 0.7614, Acc.mountain: 0.7262, Acc.plant: 0.6339, Acc.curtain: 0.8258, Acc.chair: 0.6988, Acc.car: 0.9220, Acc.water: 0.7556, Acc.painting: 0.8643, Acc.sofa: 0.8194, Acc.shelf: 0.6076, Acc.house: 0.6199, Acc.sea: 0.7695, Acc.mirror: 0.7260, Acc.rug: 0.7187, Acc.field: 0.4568, Acc.armchair: 0.5333, Acc.seat: 0.8267, Acc.fence: 0.5485, Acc.desk: 0.6609, Acc.rock: 0.5828, Acc.wardrobe: 0.6994, Acc.lamp: 0.7461, Acc.bathtub: 0.8320, Acc.railing: 0.4825, Acc.cushion: 0.6486, Acc.base: 0.2197, Acc.box: 0.3227, Acc.column: 0.5387, Acc.signboard: 0.5253, Acc.chest of drawers: 0.5545, Acc.counter: 0.3978, Acc.sand: 0.5783, Acc.sink: 0.7746, Acc.skyscraper: 0.6470, Acc.fireplace: 0.8592, Acc.refrigerator: 0.8765, Acc.grandstand: 0.6262, Acc.path: 0.2965, Acc.stairs: 0.4100, Acc.runway: 0.8540, Acc.case: 0.5561, Acc.pool table: 0.9441, Acc.pillow: 0.7018, Acc.screen door: 0.7595, Acc.stairway: 0.3565, Acc.river: 0.2350, Acc.bridge: 0.3921, Acc.bookcase: 0.6529, Acc.blind: 0.4987, Acc.coffee table: 0.7683, Acc.toilet: 0.8962, Acc.flower: 0.5328, Acc.book: 0.6320, Acc.hill: 0.2013, Acc.bench: 0.5381, Acc.countertop: 0.6936, Acc.stove: 0.7893, Acc.palm: 0.6816, Acc.kitchen island: 0.5650, Acc.computer: 0.7005, Acc.swivel chair: 0.5333, Acc.boat: 0.8318, Acc.bar: 0.3137, Acc.arcade machine: 0.7292, Acc.hovel: 0.3820, Acc.bus: 0.9045, Acc.towel: 0.7063, Acc.light: 0.5849, Acc.truck: 0.2309, Acc.tower: 0.1152, Acc.chandelier: 0.7783, Acc.awning: 0.2718, Acc.streetlight: 0.3448, Acc.booth: 0.4559, Acc.television receiver: 0.7598, Acc.airplane: 0.6503, Acc.dirt track: 0.5513, Acc.apparel: 0.4983, Acc.pole: 0.2143, Acc.land: 0.0643, Acc.bannister: 0.1447, Acc.escalator: 0.2475, Acc.ottoman: 0.5726, Acc.bottle: 0.5885, Acc.buffet: 0.4404, Acc.poster: 0.3291, Acc.stage: 0.1748, Acc.van: 0.5385, Acc.ship: 0.8955, Acc.fountain: 0.1939, Acc.conveyer belt: 0.8942, Acc.canopy: 0.2799, Acc.washer: 0.8111, Acc.plaything: 0.2887, Acc.swimming pool: 0.8136, Acc.stool: 0.5569, Acc.barrel: 0.5391, Acc.basket: 0.3756, Acc.waterfall: 0.6646, Acc.tent: 0.9769, Acc.bag: 0.2276, Acc.minibike: 0.7516, Acc.cradle: 0.9626, Acc.oven: 0.6703, Acc.ball: 0.5277, Acc.food: 0.6361, Acc.step: 0.0386, Acc.tank: 0.5545, Acc.trade name: 0.3278, Acc.microwave: 0.7811, Acc.pot: 0.3433, Acc.animal: 0.5990, Acc.bicycle: 0.7430, Acc.lake: 0.6297, Acc.dishwasher: 0.7663, Acc.screen: 0.8362, Acc.blanket: 0.1875, Acc.sculpture: 0.7814, Acc.hood: 0.6505, Acc.sconce: 0.4984, Acc.vase: 0.5109, Acc.traffic light: 0.4760, Acc.tray: 0.0876, Acc.ashcan: 0.5551, Acc.fan: 0.6894, Acc.pier: 0.6122, Acc.crt screen: 0.2302, Acc.plate: 0.6531, Acc.monitor: 0.2303, Acc.bulletin board: 0.5885, Acc.shower: 0.0684, Acc.radiator: 0.6971, Acc.glass: 0.1460, Acc.clock: 0.3453, Acc.flag: 0.3717 +2023-03-04 13:44:31,132 - mmseg - INFO - Iter [32050/80000] lr: 1.875e-05, eta: 2:46:28, time: 0.514, data_time: 0.334, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.8440, loss: 0.2022 +2023-03-04 13:44:40,037 - mmseg - INFO - Iter [32100/80000] lr: 1.875e-05, eta: 2:46:15, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2035, decode.acc_seg: 91.8184, loss: 0.2035 +2023-03-04 13:44:49,184 - mmseg - INFO - Iter [32150/80000] lr: 1.875e-05, eta: 2:46:02, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.6114, loss: 0.2016 +2023-03-04 13:44:58,045 - mmseg - INFO - Iter [32200/80000] lr: 1.875e-05, eta: 2:45:49, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.1350, loss: 0.1902 +2023-03-04 13:45:07,075 - mmseg - INFO - Iter [32250/80000] lr: 1.875e-05, eta: 2:45:35, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.6938, loss: 0.2003 +2023-03-04 13:45:15,939 - mmseg - INFO - Iter [32300/80000] lr: 1.875e-05, eta: 2:45:22, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2078, decode.acc_seg: 91.5683, loss: 0.2078 +2023-03-04 13:45:24,795 - mmseg - INFO - Iter [32350/80000] lr: 1.875e-05, eta: 2:45:09, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.1707, loss: 0.2104 +2023-03-04 13:45:33,986 - mmseg - INFO - Iter [32400/80000] lr: 1.875e-05, eta: 2:44:56, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2118, decode.acc_seg: 91.3704, loss: 0.2118 +2023-03-04 13:45:42,771 - mmseg - INFO - Iter [32450/80000] lr: 1.875e-05, eta: 2:44:42, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.9609, loss: 0.1962 +2023-03-04 13:45:51,637 - mmseg - INFO - Iter [32500/80000] lr: 1.875e-05, eta: 2:44:29, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.6882, loss: 0.2003 +2023-03-04 13:46:00,250 - mmseg - INFO - Iter [32550/80000] lr: 1.875e-05, eta: 2:44:15, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1928, decode.acc_seg: 92.0664, loss: 0.1928 +2023-03-04 13:46:09,125 - mmseg - INFO - Iter [32600/80000] lr: 1.875e-05, eta: 2:44:02, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9838, loss: 0.1944 +2023-03-04 13:46:20,902 - mmseg - INFO - Iter [32650/80000] lr: 1.875e-05, eta: 2:43:54, time: 0.236, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2068, decode.acc_seg: 91.5080, loss: 0.2068 +2023-03-04 13:46:29,718 - mmseg - INFO - Iter [32700/80000] lr: 1.875e-05, eta: 2:43:41, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.9362, loss: 0.1995 +2023-03-04 13:46:38,882 - mmseg - INFO - Iter [32750/80000] lr: 1.875e-05, eta: 2:43:28, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 92.0259, loss: 0.1921 +2023-03-04 13:46:47,972 - mmseg - INFO - Iter [32800/80000] lr: 1.875e-05, eta: 2:43:15, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.6135, loss: 0.2058 +2023-03-04 13:46:56,804 - mmseg - INFO - Iter [32850/80000] lr: 1.875e-05, eta: 2:43:02, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.7817, loss: 0.2022 +2023-03-04 13:47:06,047 - mmseg - INFO - Iter [32900/80000] lr: 1.875e-05, eta: 2:42:49, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9267, loss: 0.1958 +2023-03-04 13:47:14,729 - mmseg - INFO - Iter [32950/80000] lr: 1.875e-05, eta: 2:42:36, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.9727, loss: 0.1968 +2023-03-04 13:47:23,630 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:47:23,630 - mmseg - INFO - Iter [33000/80000] lr: 1.875e-05, eta: 2:42:23, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.7699, loss: 0.2001 +2023-03-04 13:47:32,740 - mmseg - INFO - Iter [33050/80000] lr: 1.875e-05, eta: 2:42:10, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.5481, loss: 0.2031 +2023-03-04 13:47:41,452 - mmseg - INFO - Iter [33100/80000] lr: 1.875e-05, eta: 2:41:57, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.3797, loss: 0.2076 +2023-03-04 13:47:50,608 - mmseg - INFO - Iter [33150/80000] lr: 1.875e-05, eta: 2:41:44, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.7370, loss: 0.2049 +2023-03-04 13:47:59,191 - mmseg - INFO - Iter [33200/80000] lr: 1.875e-05, eta: 2:41:30, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.6533, loss: 0.2030 +2023-03-04 13:48:10,508 - mmseg - INFO - Iter [33250/80000] lr: 1.875e-05, eta: 2:41:22, time: 0.226, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.6766, loss: 0.2049 +2023-03-04 13:48:19,295 - mmseg - INFO - Iter [33300/80000] lr: 1.875e-05, eta: 2:41:08, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2064, decode.acc_seg: 91.6323, loss: 0.2064 +2023-03-04 13:48:28,123 - mmseg - INFO - Iter [33350/80000] lr: 1.875e-05, eta: 2:40:55, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.7108, loss: 0.2025 +2023-03-04 13:48:37,158 - mmseg - INFO - Iter [33400/80000] lr: 1.875e-05, eta: 2:40:43, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.7013, loss: 0.2022 +2023-03-04 13:48:45,987 - mmseg - INFO - Iter [33450/80000] lr: 1.875e-05, eta: 2:40:29, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1953, decode.acc_seg: 92.0064, loss: 0.1953 +2023-03-04 13:48:54,803 - mmseg - INFO - Iter [33500/80000] lr: 1.875e-05, eta: 2:40:16, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.5758, loss: 0.2039 +2023-03-04 13:49:04,061 - mmseg - INFO - Iter [33550/80000] lr: 1.875e-05, eta: 2:40:04, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.8875, loss: 0.1959 +2023-03-04 13:49:12,769 - mmseg - INFO - Iter [33600/80000] lr: 1.875e-05, eta: 2:39:51, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.7392, loss: 0.1995 +2023-03-04 13:49:21,618 - mmseg - INFO - Iter [33650/80000] lr: 1.875e-05, eta: 2:39:38, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2077, decode.acc_seg: 91.5780, loss: 0.2077 +2023-03-04 13:49:30,166 - mmseg - INFO - Iter [33700/80000] lr: 1.875e-05, eta: 2:39:24, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 91.9508, loss: 0.1919 +2023-03-04 13:49:39,204 - mmseg - INFO - Iter [33750/80000] lr: 1.875e-05, eta: 2:39:11, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.0704, loss: 0.1902 +2023-03-04 13:49:48,200 - mmseg - INFO - Iter [33800/80000] lr: 1.875e-05, eta: 2:38:59, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.8016, loss: 0.2008 +2023-03-04 13:49:57,226 - mmseg - INFO - Iter [33850/80000] lr: 1.875e-05, eta: 2:38:46, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2078, decode.acc_seg: 91.4005, loss: 0.2078 +2023-03-04 13:50:08,476 - mmseg - INFO - Iter [33900/80000] lr: 1.875e-05, eta: 2:38:37, time: 0.225, data_time: 0.058, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.8629, loss: 0.1959 +2023-03-04 13:50:17,161 - mmseg - INFO - Iter [33950/80000] lr: 1.875e-05, eta: 2:38:24, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2124, decode.acc_seg: 91.3857, loss: 0.2124 +2023-03-04 13:50:26,700 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:50:26,700 - mmseg - INFO - Iter [34000/80000] lr: 1.875e-05, eta: 2:38:13, time: 0.191, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.8351, loss: 0.2022 +2023-03-04 13:50:35,785 - mmseg - INFO - Iter [34050/80000] lr: 1.875e-05, eta: 2:38:00, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.8571, loss: 0.2000 +2023-03-04 13:50:45,043 - mmseg - INFO - Iter [34100/80000] lr: 1.875e-05, eta: 2:37:48, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7112, loss: 0.2014 +2023-03-04 13:50:53,799 - mmseg - INFO - Iter [34150/80000] lr: 1.875e-05, eta: 2:37:35, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.9176, loss: 0.1956 +2023-03-04 13:51:03,239 - mmseg - INFO - Iter [34200/80000] lr: 1.875e-05, eta: 2:37:23, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2097, decode.acc_seg: 91.4860, loss: 0.2097 +2023-03-04 13:51:12,290 - mmseg - INFO - Iter [34250/80000] lr: 1.875e-05, eta: 2:37:10, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.4870, loss: 0.2050 +2023-03-04 13:51:21,368 - mmseg - INFO - Iter [34300/80000] lr: 1.875e-05, eta: 2:36:58, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.4533, loss: 0.2096 +2023-03-04 13:51:30,395 - mmseg - INFO - Iter [34350/80000] lr: 1.875e-05, eta: 2:36:46, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 91.8997, loss: 0.1926 +2023-03-04 13:51:39,158 - mmseg - INFO - Iter [34400/80000] lr: 1.875e-05, eta: 2:36:33, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9831, loss: 0.1948 +2023-03-04 13:51:48,651 - mmseg - INFO - Iter [34450/80000] lr: 1.875e-05, eta: 2:36:21, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.5856, loss: 0.2032 +2023-03-04 13:51:57,475 - mmseg - INFO - Iter [34500/80000] lr: 1.875e-05, eta: 2:36:08, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.5321, loss: 0.2059 +2023-03-04 13:52:09,462 - mmseg - INFO - Iter [34550/80000] lr: 1.875e-05, eta: 2:36:01, time: 0.240, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.7233, loss: 0.1996 +2023-03-04 13:52:18,528 - mmseg - INFO - Iter [34600/80000] lr: 1.875e-05, eta: 2:35:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.6167, loss: 0.2060 +2023-03-04 13:52:27,644 - mmseg - INFO - Iter [34650/80000] lr: 1.875e-05, eta: 2:35:36, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8299, loss: 0.1970 +2023-03-04 13:52:36,237 - mmseg - INFO - Iter [34700/80000] lr: 1.875e-05, eta: 2:35:23, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9177, loss: 0.1948 +2023-03-04 13:52:45,155 - mmseg - INFO - Iter [34750/80000] lr: 1.875e-05, eta: 2:35:10, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.9373, loss: 0.2005 +2023-03-04 13:52:54,036 - mmseg - INFO - Iter [34800/80000] lr: 1.875e-05, eta: 2:34:57, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.5375, loss: 0.2040 +2023-03-04 13:53:03,182 - mmseg - INFO - Iter [34850/80000] lr: 1.875e-05, eta: 2:34:45, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.5594, loss: 0.2032 +2023-03-04 13:53:12,142 - mmseg - INFO - Iter [34900/80000] lr: 1.875e-05, eta: 2:34:33, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.7768, loss: 0.2000 +2023-03-04 13:53:21,720 - mmseg - INFO - Iter [34950/80000] lr: 1.875e-05, eta: 2:34:21, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.6458, loss: 0.2053 +2023-03-04 13:53:30,506 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:53:30,506 - mmseg - INFO - Iter [35000/80000] lr: 1.875e-05, eta: 2:34:09, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2042, decode.acc_seg: 91.6903, loss: 0.2042 +2023-03-04 13:53:39,558 - mmseg - INFO - Iter [35050/80000] lr: 1.875e-05, eta: 2:33:56, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.8400, loss: 0.1978 +2023-03-04 13:53:48,258 - mmseg - INFO - Iter [35100/80000] lr: 1.875e-05, eta: 2:33:43, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.7010, loss: 0.2040 +2023-03-04 13:53:59,850 - mmseg - INFO - Iter [35150/80000] lr: 1.875e-05, eta: 2:33:35, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.6388, loss: 0.2012 +2023-03-04 13:54:08,606 - mmseg - INFO - Iter [35200/80000] lr: 1.875e-05, eta: 2:33:22, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.2407, loss: 0.2084 +2023-03-04 13:54:17,735 - mmseg - INFO - Iter [35250/80000] lr: 1.875e-05, eta: 2:33:10, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2063, decode.acc_seg: 91.6085, loss: 0.2063 +2023-03-04 13:54:26,687 - mmseg - INFO - Iter [35300/80000] lr: 1.875e-05, eta: 2:32:58, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.9047, loss: 0.1997 +2023-03-04 13:54:35,357 - mmseg - INFO - Iter [35350/80000] lr: 1.875e-05, eta: 2:32:45, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2154, decode.acc_seg: 91.0868, loss: 0.2154 +2023-03-04 13:54:44,386 - mmseg - INFO - Iter [35400/80000] lr: 1.875e-05, eta: 2:32:33, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2152, decode.acc_seg: 91.1063, loss: 0.2152 +2023-03-04 13:54:53,333 - mmseg - INFO - Iter [35450/80000] lr: 1.875e-05, eta: 2:32:20, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.8017, loss: 0.1983 +2023-03-04 13:55:02,251 - mmseg - INFO - Iter [35500/80000] lr: 1.875e-05, eta: 2:32:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.8409, loss: 0.1956 +2023-03-04 13:55:11,107 - mmseg - INFO - Iter [35550/80000] lr: 1.875e-05, eta: 2:31:55, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.6396, loss: 0.2007 +2023-03-04 13:55:20,006 - mmseg - INFO - Iter [35600/80000] lr: 1.875e-05, eta: 2:31:43, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.8177, loss: 0.2021 +2023-03-04 13:55:28,860 - mmseg - INFO - Iter [35650/80000] lr: 1.875e-05, eta: 2:31:30, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.7914, loss: 0.2011 +2023-03-04 13:55:37,632 - mmseg - INFO - Iter [35700/80000] lr: 1.875e-05, eta: 2:31:18, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 92.0995, loss: 0.1950 +2023-03-04 13:55:46,375 - mmseg - INFO - Iter [35750/80000] lr: 1.875e-05, eta: 2:31:05, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2069, decode.acc_seg: 91.4757, loss: 0.2069 +2023-03-04 13:55:57,770 - mmseg - INFO - Iter [35800/80000] lr: 1.875e-05, eta: 2:30:57, time: 0.228, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.8512, loss: 0.1981 +2023-03-04 13:56:06,597 - mmseg - INFO - Iter [35850/80000] lr: 1.875e-05, eta: 2:30:44, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.8531, loss: 0.1993 +2023-03-04 13:56:15,526 - mmseg - INFO - Iter [35900/80000] lr: 1.875e-05, eta: 2:30:32, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.8245, loss: 0.2003 +2023-03-04 13:56:25,093 - mmseg - INFO - Iter [35950/80000] lr: 1.875e-05, eta: 2:30:21, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.7601, loss: 0.2026 +2023-03-04 13:56:34,137 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:56:34,137 - mmseg - INFO - Iter [36000/80000] lr: 1.875e-05, eta: 2:30:09, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.7756, loss: 0.1957 +2023-03-04 13:56:42,921 - mmseg - INFO - Iter [36050/80000] lr: 1.875e-05, eta: 2:29:56, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.8710, loss: 0.1983 +2023-03-04 13:56:51,979 - mmseg - INFO - Iter [36100/80000] lr: 1.875e-05, eta: 2:29:44, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.8595, loss: 0.1991 +2023-03-04 13:57:00,842 - mmseg - INFO - Iter [36150/80000] lr: 1.875e-05, eta: 2:29:32, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.6453, loss: 0.1987 +2023-03-04 13:57:09,848 - mmseg - INFO - Iter [36200/80000] lr: 1.875e-05, eta: 2:29:19, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.9285, loss: 0.1963 +2023-03-04 13:57:18,673 - mmseg - INFO - Iter [36250/80000] lr: 1.875e-05, eta: 2:29:07, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.7457, loss: 0.2060 +2023-03-04 13:57:28,380 - mmseg - INFO - Iter [36300/80000] lr: 1.875e-05, eta: 2:28:56, time: 0.194, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9853, loss: 0.1954 +2023-03-04 13:57:37,534 - mmseg - INFO - Iter [36350/80000] lr: 1.875e-05, eta: 2:28:44, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7055, loss: 0.2021 +2023-03-04 13:57:49,061 - mmseg - INFO - Iter [36400/80000] lr: 1.875e-05, eta: 2:28:36, time: 0.230, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2114, decode.acc_seg: 91.3270, loss: 0.2114 +2023-03-04 13:57:57,963 - mmseg - INFO - Iter [36450/80000] lr: 1.875e-05, eta: 2:28:24, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.4979, loss: 0.2066 +2023-03-04 13:58:06,712 - mmseg - INFO - Iter [36500/80000] lr: 1.875e-05, eta: 2:28:11, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.7247, loss: 0.2008 +2023-03-04 13:58:15,575 - mmseg - INFO - Iter [36550/80000] lr: 1.875e-05, eta: 2:27:59, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.7465, loss: 0.2004 +2023-03-04 13:58:24,270 - mmseg - INFO - Iter [36600/80000] lr: 1.875e-05, eta: 2:27:46, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.8731, loss: 0.2001 +2023-03-04 13:58:33,443 - mmseg - INFO - Iter [36650/80000] lr: 1.875e-05, eta: 2:27:35, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.6498, loss: 0.2049 +2023-03-04 13:58:42,443 - mmseg - INFO - Iter [36700/80000] lr: 1.875e-05, eta: 2:27:23, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.8647, loss: 0.1963 +2023-03-04 13:58:51,232 - mmseg - INFO - Iter [36750/80000] lr: 1.875e-05, eta: 2:27:10, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1922, decode.acc_seg: 91.9829, loss: 0.1922 +2023-03-04 13:59:00,401 - mmseg - INFO - Iter [36800/80000] lr: 1.875e-05, eta: 2:26:58, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.6865, loss: 0.2019 +2023-03-04 13:59:09,670 - mmseg - INFO - Iter [36850/80000] lr: 1.875e-05, eta: 2:26:47, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2042, decode.acc_seg: 91.6134, loss: 0.2042 +2023-03-04 13:59:18,482 - mmseg - INFO - Iter [36900/80000] lr: 1.875e-05, eta: 2:26:35, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.8468, loss: 0.1962 +2023-03-04 13:59:27,519 - mmseg - INFO - Iter [36950/80000] lr: 1.875e-05, eta: 2:26:23, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.8818, loss: 0.2001 +2023-03-04 13:59:36,348 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 13:59:36,348 - mmseg - INFO - Iter [37000/80000] lr: 1.875e-05, eta: 2:26:10, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.7199, loss: 0.2033 +2023-03-04 13:59:47,455 - mmseg - INFO - Iter [37050/80000] lr: 1.875e-05, eta: 2:26:02, time: 0.222, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.8351, loss: 0.1988 +2023-03-04 13:59:56,755 - mmseg - INFO - Iter [37100/80000] lr: 1.875e-05, eta: 2:25:50, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6317, loss: 0.2025 +2023-03-04 14:00:05,411 - mmseg - INFO - Iter [37150/80000] lr: 1.875e-05, eta: 2:25:38, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8477, loss: 0.1970 +2023-03-04 14:00:14,798 - mmseg - INFO - Iter [37200/80000] lr: 1.875e-05, eta: 2:25:26, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.7992, loss: 0.2008 +2023-03-04 14:00:24,239 - mmseg - INFO - Iter [37250/80000] lr: 1.875e-05, eta: 2:25:15, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 91.9798, loss: 0.1921 +2023-03-04 14:00:33,398 - mmseg - INFO - Iter [37300/80000] lr: 1.875e-05, eta: 2:25:03, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1998, decode.acc_seg: 91.9280, loss: 0.1998 +2023-03-04 14:00:42,157 - mmseg - INFO - Iter [37350/80000] lr: 1.875e-05, eta: 2:24:51, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.7487, loss: 0.2011 +2023-03-04 14:00:51,049 - mmseg - INFO - Iter [37400/80000] lr: 1.875e-05, eta: 2:24:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.5676, loss: 0.2022 +2023-03-04 14:01:00,692 - mmseg - INFO - Iter [37450/80000] lr: 1.875e-05, eta: 2:24:28, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.7864, loss: 0.1990 +2023-03-04 14:01:09,947 - mmseg - INFO - Iter [37500/80000] lr: 1.875e-05, eta: 2:24:16, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.9833, loss: 0.1956 +2023-03-04 14:01:19,193 - mmseg - INFO - Iter [37550/80000] lr: 1.875e-05, eta: 2:24:05, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.8858, loss: 0.1972 +2023-03-04 14:01:28,096 - mmseg - INFO - Iter [37600/80000] lr: 1.875e-05, eta: 2:23:53, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9557, loss: 0.1941 +2023-03-04 14:01:37,081 - mmseg - INFO - Iter [37650/80000] lr: 1.875e-05, eta: 2:23:41, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.5776, loss: 0.2048 +2023-03-04 14:01:48,322 - mmseg - INFO - Iter [37700/80000] lr: 1.875e-05, eta: 2:23:32, time: 0.225, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 92.0370, loss: 0.1924 +2023-03-04 14:01:57,301 - mmseg - INFO - Iter [37750/80000] lr: 1.875e-05, eta: 2:23:20, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.7507, loss: 0.2001 +2023-03-04 14:02:06,873 - mmseg - INFO - Iter [37800/80000] lr: 1.875e-05, eta: 2:23:09, time: 0.191, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1999, decode.acc_seg: 91.9646, loss: 0.1999 +2023-03-04 14:02:15,559 - mmseg - INFO - Iter [37850/80000] lr: 1.875e-05, eta: 2:22:57, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.6705, loss: 0.2022 +2023-03-04 14:02:24,514 - mmseg - INFO - Iter [37900/80000] lr: 1.875e-05, eta: 2:22:45, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.8194, loss: 0.2005 +2023-03-04 14:02:33,515 - mmseg - INFO - Iter [37950/80000] lr: 1.875e-05, eta: 2:22:33, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.7270, loss: 0.2031 +2023-03-04 14:02:42,426 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:02:42,426 - mmseg - INFO - Iter [38000/80000] lr: 1.875e-05, eta: 2:22:21, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 91.9957, loss: 0.1924 +2023-03-04 14:02:51,731 - mmseg - INFO - Iter [38050/80000] lr: 1.875e-05, eta: 2:22:10, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2120, decode.acc_seg: 91.2861, loss: 0.2120 +2023-03-04 14:03:00,754 - mmseg - INFO - Iter [38100/80000] lr: 1.875e-05, eta: 2:21:58, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2154, decode.acc_seg: 91.0912, loss: 0.2154 +2023-03-04 14:03:09,526 - mmseg - INFO - Iter [38150/80000] lr: 1.875e-05, eta: 2:21:46, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7897, loss: 0.2002 +2023-03-04 14:03:18,429 - mmseg - INFO - Iter [38200/80000] lr: 1.875e-05, eta: 2:21:34, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9026, loss: 0.1957 +2023-03-04 14:03:27,568 - mmseg - INFO - Iter [38250/80000] lr: 1.875e-05, eta: 2:21:23, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.7036, loss: 0.2023 +2023-03-04 14:03:38,646 - mmseg - INFO - Iter [38300/80000] lr: 1.875e-05, eta: 2:21:14, time: 0.222, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.9443, loss: 0.1952 +2023-03-04 14:03:47,290 - mmseg - INFO - Iter [38350/80000] lr: 1.875e-05, eta: 2:21:02, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9199, loss: 0.1972 +2023-03-04 14:03:56,167 - mmseg - INFO - Iter [38400/80000] lr: 1.875e-05, eta: 2:20:50, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.7350, loss: 0.2013 +2023-03-04 14:04:05,400 - mmseg - INFO - Iter [38450/80000] lr: 1.875e-05, eta: 2:20:38, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.7961, loss: 0.1957 +2023-03-04 14:04:14,303 - mmseg - INFO - Iter [38500/80000] lr: 1.875e-05, eta: 2:20:26, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2037, decode.acc_seg: 91.6663, loss: 0.2037 +2023-03-04 14:04:22,970 - mmseg - INFO - Iter [38550/80000] lr: 1.875e-05, eta: 2:20:14, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.8172, loss: 0.2004 +2023-03-04 14:04:32,354 - mmseg - INFO - Iter [38600/80000] lr: 1.875e-05, eta: 2:20:03, time: 0.188, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.5460, loss: 0.2052 +2023-03-04 14:04:41,677 - mmseg - INFO - Iter [38650/80000] lr: 1.875e-05, eta: 2:19:52, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6678, loss: 0.2010 +2023-03-04 14:04:50,796 - mmseg - INFO - Iter [38700/80000] lr: 1.875e-05, eta: 2:19:40, time: 0.182, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.7879, loss: 0.1985 +2023-03-04 14:05:00,089 - mmseg - INFO - Iter [38750/80000] lr: 1.875e-05, eta: 2:19:29, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.5326, loss: 0.2023 +2023-03-04 14:05:08,872 - mmseg - INFO - Iter [38800/80000] lr: 1.875e-05, eta: 2:19:17, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0329, loss: 0.1926 +2023-03-04 14:05:17,903 - mmseg - INFO - Iter [38850/80000] lr: 1.875e-05, eta: 2:19:05, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.8564, loss: 0.1957 +2023-03-04 14:05:27,084 - mmseg - INFO - Iter [38900/80000] lr: 1.875e-05, eta: 2:18:54, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.7660, loss: 0.1986 +2023-03-04 14:05:38,666 - mmseg - INFO - Iter [38950/80000] lr: 1.875e-05, eta: 2:18:46, time: 0.232, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 92.0799, loss: 0.1956 +2023-03-04 14:05:47,346 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:05:47,347 - mmseg - INFO - Iter [39000/80000] lr: 1.875e-05, eta: 2:18:34, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.5074, loss: 0.2085 +2023-03-04 14:05:56,074 - mmseg - INFO - Iter [39050/80000] lr: 1.875e-05, eta: 2:18:22, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.6860, loss: 0.2039 +2023-03-04 14:06:05,209 - mmseg - INFO - Iter [39100/80000] lr: 1.875e-05, eta: 2:18:10, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.9239, loss: 0.1978 +2023-03-04 14:06:14,382 - mmseg - INFO - Iter [39150/80000] lr: 1.875e-05, eta: 2:17:59, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2082, decode.acc_seg: 91.4239, loss: 0.2082 +2023-03-04 14:06:23,087 - mmseg - INFO - Iter [39200/80000] lr: 1.875e-05, eta: 2:17:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9565, loss: 0.1981 +2023-03-04 14:06:31,940 - mmseg - INFO - Iter [39250/80000] lr: 1.875e-05, eta: 2:17:35, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.6253, loss: 0.2030 +2023-03-04 14:06:40,871 - mmseg - INFO - Iter [39300/80000] lr: 1.875e-05, eta: 2:17:23, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.4129, loss: 0.2060 +2023-03-04 14:06:49,458 - mmseg - INFO - Iter [39350/80000] lr: 1.875e-05, eta: 2:17:11, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.1204, loss: 0.1938 +2023-03-04 14:06:58,119 - mmseg - INFO - Iter [39400/80000] lr: 1.875e-05, eta: 2:16:59, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 91.8496, loss: 0.1945 +2023-03-04 14:07:07,180 - mmseg - INFO - Iter [39450/80000] lr: 1.875e-05, eta: 2:16:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.6720, loss: 0.2021 +2023-03-04 14:07:15,911 - mmseg - INFO - Iter [39500/80000] lr: 1.875e-05, eta: 2:16:36, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.7615, loss: 0.2023 +2023-03-04 14:07:26,912 - mmseg - INFO - Iter [39550/80000] lr: 1.875e-05, eta: 2:16:27, time: 0.220, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.7837, loss: 0.1976 +2023-03-04 14:07:35,900 - mmseg - INFO - Iter [39600/80000] lr: 1.875e-05, eta: 2:16:15, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7738, loss: 0.2020 +2023-03-04 14:07:45,058 - mmseg - INFO - Iter [39650/80000] lr: 1.875e-05, eta: 2:16:04, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.4048, loss: 0.2051 +2023-03-04 14:07:54,200 - mmseg - INFO - Iter [39700/80000] lr: 1.875e-05, eta: 2:15:52, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.7437, loss: 0.2018 +2023-03-04 14:08:03,808 - mmseg - INFO - Iter [39750/80000] lr: 1.875e-05, eta: 2:15:42, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 91.9642, loss: 0.1946 +2023-03-04 14:08:12,469 - mmseg - INFO - Iter [39800/80000] lr: 1.875e-05, eta: 2:15:30, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.8733, loss: 0.1972 +2023-03-04 14:08:21,381 - mmseg - INFO - Iter [39850/80000] lr: 1.875e-05, eta: 2:15:18, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.4984, loss: 0.2065 +2023-03-04 14:08:30,222 - mmseg - INFO - Iter [39900/80000] lr: 1.875e-05, eta: 2:15:06, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.1383, loss: 0.1902 +2023-03-04 14:08:39,040 - mmseg - INFO - Iter [39950/80000] lr: 1.875e-05, eta: 2:14:55, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.8179, loss: 0.2020 +2023-03-04 14:08:48,444 - mmseg - INFO - Saving checkpoint at 40000 iterations +2023-03-04 14:08:49,073 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:08:49,073 - mmseg - INFO - Iter [40000/80000] lr: 1.875e-05, eta: 2:14:44, time: 0.201, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2105, decode.acc_seg: 91.3989, loss: 0.2105 +2023-03-04 14:09:04,847 - mmseg - INFO - per class results: +2023-03-04 14:09:04,853 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.22 | 89.1 | +| building | 81.29 | 91.94 | +| sky | 94.34 | 97.0 | +| floor | 81.41 | 90.33 | +| tree | 73.64 | 87.93 | +| ceiling | 85.1 | 92.4 | +| road | 81.84 | 90.63 | +| bed | 87.14 | 95.29 | +| windowpane | 60.14 | 78.92 | +| grass | 67.15 | 83.08 | +| cabinet | 59.45 | 71.8 | +| sidewalk | 63.84 | 77.77 | +| person | 79.09 | 91.44 | +| earth | 35.75 | 49.32 | +| door | 44.98 | 58.99 | +| table | 59.61 | 75.22 | +| mountain | 57.93 | 73.69 | +| plant | 50.38 | 61.89 | +| curtain | 73.36 | 83.26 | +| chair | 55.77 | 68.17 | +| car | 80.43 | 92.62 | +| water | 56.89 | 75.66 | +| painting | 70.86 | 84.74 | +| sofa | 63.54 | 79.47 | +| shelf | 43.65 | 62.29 | +| house | 42.25 | 59.3 | +| sea | 59.64 | 77.15 | +| mirror | 64.66 | 73.1 | +| rug | 66.71 | 78.73 | +| field | 30.46 | 45.72 | +| armchair | 37.8 | 57.03 | +| seat | 65.54 | 84.14 | +| fence | 41.48 | 54.82 | +| desk | 46.21 | 66.34 | +| rock | 35.99 | 57.53 | +| wardrobe | 55.5 | 70.41 | +| lamp | 59.74 | 72.0 | +| bathtub | 75.78 | 82.41 | +| railing | 33.0 | 46.32 | +| cushion | 55.78 | 68.87 | +| base | 21.51 | 26.88 | +| box | 23.22 | 30.99 | +| column | 45.19 | 57.06 | +| signboard | 36.67 | 49.91 | +| chest of drawers | 35.16 | 61.01 | +| counter | 31.19 | 41.67 | +| sand | 41.96 | 57.46 | +| sink | 66.34 | 77.74 | +| skyscraper | 49.38 | 61.82 | +| fireplace | 74.28 | 84.65 | +| refrigerator | 73.41 | 86.26 | +| grandstand | 56.06 | 62.52 | +| path | 21.34 | 29.0 | +| stairs | 32.34 | 42.18 | +| runway | 67.26 | 86.83 | +| case | 47.35 | 59.89 | +| pool table | 91.33 | 94.86 | +| pillow | 59.43 | 69.4 | +| screen door | 67.63 | 74.1 | +| stairway | 22.39 | 35.77 | +| river | 11.85 | 20.33 | +| bridge | 33.99 | 39.14 | +| bookcase | 45.17 | 61.0 | +| blind | 38.98 | 44.34 | +| coffee table | 52.59 | 78.73 | +| toilet | 82.98 | 89.21 | +| flower | 38.13 | 52.84 | +| book | 44.22 | 67.06 | +| hill | 13.93 | 18.91 | +| bench | 41.73 | 54.73 | +| countertop | 52.84 | 71.99 | +| stove | 69.85 | 80.55 | +| palm | 48.06 | 68.66 | +| kitchen island | 39.59 | 60.93 | +| computer | 59.88 | 68.25 | +| swivel chair | 44.88 | 60.5 | +| boat | 68.82 | 83.25 | +| bar | 23.81 | 32.05 | +| arcade machine | 71.33 | 74.72 | +| hovel | 30.04 | 32.96 | +| bus | 75.13 | 91.57 | +| towel | 62.12 | 72.32 | +| light | 50.3 | 54.91 | +| truck | 16.53 | 22.22 | +| tower | 6.11 | 9.72 | +| chandelier | 63.19 | 77.7 | +| awning | 22.78 | 26.35 | +| streetlight | 24.37 | 32.04 | +| booth | 42.7 | 44.98 | +| television receiver | 64.69 | 75.29 | +| airplane | 59.43 | 65.88 | +| dirt track | 19.53 | 49.58 | +| apparel | 32.92 | 53.06 | +| pole | 15.71 | 20.31 | +| land | 4.64 | 6.6 | +| bannister | 9.82 | 12.88 | +| escalator | 23.01 | 24.15 | +| ottoman | 40.28 | 62.78 | +| bottle | 35.3 | 58.42 | +| buffet | 40.15 | 47.91 | +| poster | 23.57 | 33.72 | +| stage | 13.12 | 16.97 | +| van | 38.06 | 53.33 | +| ship | 74.46 | 90.86 | +| fountain | 21.63 | 22.05 | +| conveyer belt | 84.7 | 90.76 | +| canopy | 23.21 | 25.49 | +| washer | 80.18 | 82.69 | +| plaything | 20.97 | 31.34 | +| swimming pool | 73.6 | 80.69 | +| stool | 42.93 | 58.3 | +| barrel | 43.54 | 62.03 | +| basket | 25.52 | 38.0 | +| waterfall | 47.51 | 63.42 | +| tent | 94.66 | 97.48 | +| bag | 15.09 | 18.18 | +| minibike | 62.06 | 73.99 | +| cradle | 81.17 | 97.04 | +| oven | 45.46 | 67.08 | +| ball | 45.31 | 52.81 | +| food | 53.3 | 64.37 | +| step | 5.56 | 5.97 | +| tank | 47.44 | 52.15 | +| trade name | 20.61 | 21.47 | +| microwave | 69.72 | 74.09 | +| pot | 30.18 | 33.88 | +| animal | 53.31 | 59.71 | +| bicycle | 52.68 | 67.64 | +| lake | 57.18 | 62.72 | +| dishwasher | 65.36 | 76.3 | +| screen | 70.33 | 82.61 | +| blanket | 16.41 | 18.9 | +| sculpture | 56.6 | 78.22 | +| hood | 56.35 | 60.62 | +| sconce | 41.59 | 51.93 | +| vase | 36.16 | 46.75 | +| traffic light | 32.05 | 49.27 | +| tray | 6.38 | 9.03 | +| ashcan | 42.15 | 50.54 | +| fan | 58.01 | 67.87 | +| pier | 47.96 | 61.98 | +| crt screen | 8.14 | 20.31 | +| plate | 51.61 | 66.34 | +| monitor | 18.87 | 22.42 | +| bulletin board | 37.05 | 47.4 | +| shower | 1.45 | 5.88 | +| radiator | 60.66 | 69.25 | +| glass | 11.95 | 12.84 | +| clock | 32.25 | 35.04 | +| flag | 34.27 | 38.49 | ++---------------------+-------+-------+ +2023-03-04 14:09:04,853 - mmseg - INFO - Summary: +2023-03-04 14:09:04,853 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.53 | 47.82 | 58.84 | ++-------+-------+-------+ +2023-03-04 14:09:04,854 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:09:04,855 - mmseg - INFO - Iter(val) [250] aAcc: 0.8253, mIoU: 0.4782, mAcc: 0.5884, IoU.background: nan, IoU.wall: 0.7722, IoU.building: 0.8129, IoU.sky: 0.9434, IoU.floor: 0.8141, IoU.tree: 0.7364, IoU.ceiling: 0.8510, IoU.road: 0.8184, IoU.bed : 0.8714, IoU.windowpane: 0.6014, IoU.grass: 0.6715, IoU.cabinet: 0.5945, IoU.sidewalk: 0.6384, IoU.person: 0.7909, IoU.earth: 0.3575, IoU.door: 0.4498, IoU.table: 0.5961, IoU.mountain: 0.5793, IoU.plant: 0.5038, IoU.curtain: 0.7336, IoU.chair: 0.5577, IoU.car: 0.8043, IoU.water: 0.5689, IoU.painting: 0.7086, IoU.sofa: 0.6354, IoU.shelf: 0.4365, IoU.house: 0.4225, IoU.sea: 0.5964, IoU.mirror: 0.6466, IoU.rug: 0.6671, IoU.field: 0.3046, IoU.armchair: 0.3780, IoU.seat: 0.6554, IoU.fence: 0.4148, IoU.desk: 0.4621, IoU.rock: 0.3599, IoU.wardrobe: 0.5550, IoU.lamp: 0.5974, IoU.bathtub: 0.7578, IoU.railing: 0.3300, IoU.cushion: 0.5578, IoU.base: 0.2151, IoU.box: 0.2322, IoU.column: 0.4519, IoU.signboard: 0.3667, IoU.chest of drawers: 0.3516, IoU.counter: 0.3119, IoU.sand: 0.4196, IoU.sink: 0.6634, IoU.skyscraper: 0.4938, IoU.fireplace: 0.7428, IoU.refrigerator: 0.7341, IoU.grandstand: 0.5606, IoU.path: 0.2134, IoU.stairs: 0.3234, IoU.runway: 0.6726, IoU.case: 0.4735, IoU.pool table: 0.9133, IoU.pillow: 0.5943, IoU.screen door: 0.6763, IoU.stairway: 0.2239, IoU.river: 0.1185, IoU.bridge: 0.3399, IoU.bookcase: 0.4517, IoU.blind: 0.3898, IoU.coffee table: 0.5259, IoU.toilet: 0.8298, IoU.flower: 0.3813, IoU.book: 0.4422, IoU.hill: 0.1393, IoU.bench: 0.4173, IoU.countertop: 0.5284, IoU.stove: 0.6985, IoU.palm: 0.4806, IoU.kitchen island: 0.3959, IoU.computer: 0.5988, IoU.swivel chair: 0.4488, IoU.boat: 0.6882, IoU.bar: 0.2381, IoU.arcade machine: 0.7133, IoU.hovel: 0.3004, IoU.bus: 0.7513, IoU.towel: 0.6212, IoU.light: 0.5030, IoU.truck: 0.1653, IoU.tower: 0.0611, IoU.chandelier: 0.6319, IoU.awning: 0.2278, IoU.streetlight: 0.2437, IoU.booth: 0.4270, IoU.television receiver: 0.6469, IoU.airplane: 0.5943, IoU.dirt track: 0.1953, IoU.apparel: 0.3292, IoU.pole: 0.1571, IoU.land: 0.0464, IoU.bannister: 0.0982, IoU.escalator: 0.2301, IoU.ottoman: 0.4028, IoU.bottle: 0.3530, IoU.buffet: 0.4015, IoU.poster: 0.2357, IoU.stage: 0.1312, IoU.van: 0.3806, IoU.ship: 0.7446, IoU.fountain: 0.2163, IoU.conveyer belt: 0.8470, IoU.canopy: 0.2321, IoU.washer: 0.8018, IoU.plaything: 0.2097, IoU.swimming pool: 0.7360, IoU.stool: 0.4293, IoU.barrel: 0.4354, IoU.basket: 0.2552, IoU.waterfall: 0.4751, IoU.tent: 0.9466, IoU.bag: 0.1509, IoU.minibike: 0.6206, IoU.cradle: 0.8117, IoU.oven: 0.4546, IoU.ball: 0.4531, IoU.food: 0.5330, IoU.step: 0.0556, IoU.tank: 0.4744, IoU.trade name: 0.2061, IoU.microwave: 0.6972, IoU.pot: 0.3018, IoU.animal: 0.5331, IoU.bicycle: 0.5268, IoU.lake: 0.5718, IoU.dishwasher: 0.6536, IoU.screen: 0.7033, IoU.blanket: 0.1641, IoU.sculpture: 0.5660, IoU.hood: 0.5635, IoU.sconce: 0.4159, IoU.vase: 0.3616, IoU.traffic light: 0.3205, IoU.tray: 0.0638, IoU.ashcan: 0.4215, IoU.fan: 0.5801, IoU.pier: 0.4796, IoU.crt screen: 0.0814, IoU.plate: 0.5161, IoU.monitor: 0.1887, IoU.bulletin board: 0.3705, IoU.shower: 0.0145, IoU.radiator: 0.6066, IoU.glass: 0.1195, IoU.clock: 0.3225, IoU.flag: 0.3427, Acc.background: nan, Acc.wall: 0.8910, Acc.building: 0.9194, Acc.sky: 0.9700, Acc.floor: 0.9033, Acc.tree: 0.8793, Acc.ceiling: 0.9240, Acc.road: 0.9063, Acc.bed : 0.9529, Acc.windowpane: 0.7892, Acc.grass: 0.8308, Acc.cabinet: 0.7180, Acc.sidewalk: 0.7777, Acc.person: 0.9144, Acc.earth: 0.4932, Acc.door: 0.5899, Acc.table: 0.7522, Acc.mountain: 0.7369, Acc.plant: 0.6189, Acc.curtain: 0.8326, Acc.chair: 0.6817, Acc.car: 0.9262, Acc.water: 0.7566, Acc.painting: 0.8474, Acc.sofa: 0.7947, Acc.shelf: 0.6229, Acc.house: 0.5930, Acc.sea: 0.7715, Acc.mirror: 0.7310, Acc.rug: 0.7873, Acc.field: 0.4572, Acc.armchair: 0.5703, Acc.seat: 0.8414, Acc.fence: 0.5482, Acc.desk: 0.6634, Acc.rock: 0.5753, Acc.wardrobe: 0.7041, Acc.lamp: 0.7200, Acc.bathtub: 0.8241, Acc.railing: 0.4632, Acc.cushion: 0.6887, Acc.base: 0.2688, Acc.box: 0.3099, Acc.column: 0.5706, Acc.signboard: 0.4991, Acc.chest of drawers: 0.6101, Acc.counter: 0.4167, Acc.sand: 0.5746, Acc.sink: 0.7774, Acc.skyscraper: 0.6182, Acc.fireplace: 0.8465, Acc.refrigerator: 0.8626, Acc.grandstand: 0.6252, Acc.path: 0.2900, Acc.stairs: 0.4218, Acc.runway: 0.8683, Acc.case: 0.5989, Acc.pool table: 0.9486, Acc.pillow: 0.6940, Acc.screen door: 0.7410, Acc.stairway: 0.3577, Acc.river: 0.2033, Acc.bridge: 0.3914, Acc.bookcase: 0.6100, Acc.blind: 0.4434, Acc.coffee table: 0.7873, Acc.toilet: 0.8921, Acc.flower: 0.5284, Acc.book: 0.6706, Acc.hill: 0.1891, Acc.bench: 0.5473, Acc.countertop: 0.7199, Acc.stove: 0.8055, Acc.palm: 0.6866, Acc.kitchen island: 0.6093, Acc.computer: 0.6825, Acc.swivel chair: 0.6050, Acc.boat: 0.8325, Acc.bar: 0.3205, Acc.arcade machine: 0.7472, Acc.hovel: 0.3296, Acc.bus: 0.9157, Acc.towel: 0.7232, Acc.light: 0.5491, Acc.truck: 0.2222, Acc.tower: 0.0972, Acc.chandelier: 0.7770, Acc.awning: 0.2635, Acc.streetlight: 0.3204, Acc.booth: 0.4498, Acc.television receiver: 0.7529, Acc.airplane: 0.6588, Acc.dirt track: 0.4958, Acc.apparel: 0.5306, Acc.pole: 0.2031, Acc.land: 0.0660, Acc.bannister: 0.1288, Acc.escalator: 0.2415, Acc.ottoman: 0.6278, Acc.bottle: 0.5842, Acc.buffet: 0.4791, Acc.poster: 0.3372, Acc.stage: 0.1697, Acc.van: 0.5333, Acc.ship: 0.9086, Acc.fountain: 0.2205, Acc.conveyer belt: 0.9076, Acc.canopy: 0.2549, Acc.washer: 0.8269, Acc.plaything: 0.3134, Acc.swimming pool: 0.8069, Acc.stool: 0.5830, Acc.barrel: 0.6203, Acc.basket: 0.3800, Acc.waterfall: 0.6342, Acc.tent: 0.9748, Acc.bag: 0.1818, Acc.minibike: 0.7399, Acc.cradle: 0.9704, Acc.oven: 0.6708, Acc.ball: 0.5281, Acc.food: 0.6437, Acc.step: 0.0597, Acc.tank: 0.5215, Acc.trade name: 0.2147, Acc.microwave: 0.7409, Acc.pot: 0.3388, Acc.animal: 0.5971, Acc.bicycle: 0.6764, Acc.lake: 0.6272, Acc.dishwasher: 0.7630, Acc.screen: 0.8261, Acc.blanket: 0.1890, Acc.sculpture: 0.7822, Acc.hood: 0.6062, Acc.sconce: 0.5193, Acc.vase: 0.4675, Acc.traffic light: 0.4927, Acc.tray: 0.0903, Acc.ashcan: 0.5054, Acc.fan: 0.6787, Acc.pier: 0.6198, Acc.crt screen: 0.2031, Acc.plate: 0.6634, Acc.monitor: 0.2242, Acc.bulletin board: 0.4740, Acc.shower: 0.0588, Acc.radiator: 0.6925, Acc.glass: 0.1284, Acc.clock: 0.3504, Acc.flag: 0.3849 +2023-03-04 14:09:13,745 - mmseg - INFO - Iter [40050/80000] lr: 9.375e-06, eta: 2:14:53, time: 0.493, data_time: 0.323, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.9256, loss: 0.1996 +2023-03-04 14:09:22,796 - mmseg - INFO - Iter [40100/80000] lr: 9.375e-06, eta: 2:14:41, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.8060, loss: 0.1995 +2023-03-04 14:09:31,590 - mmseg - INFO - Iter [40150/80000] lr: 9.375e-06, eta: 2:14:29, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2054, decode.acc_seg: 91.6107, loss: 0.2054 +2023-03-04 14:09:42,746 - mmseg - INFO - Iter [40200/80000] lr: 9.375e-06, eta: 2:14:20, time: 0.223, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 91.9370, loss: 0.1946 +2023-03-04 14:09:51,759 - mmseg - INFO - Iter [40250/80000] lr: 9.375e-06, eta: 2:14:09, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.1901, loss: 0.1909 +2023-03-04 14:10:00,458 - mmseg - INFO - Iter [40300/80000] lr: 9.375e-06, eta: 2:13:57, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.7722, loss: 0.2040 +2023-03-04 14:10:09,285 - mmseg - INFO - Iter [40350/80000] lr: 9.375e-06, eta: 2:13:45, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.7698, loss: 0.2028 +2023-03-04 14:10:18,276 - mmseg - INFO - Iter [40400/80000] lr: 9.375e-06, eta: 2:13:34, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.7120, loss: 0.2051 +2023-03-04 14:10:27,154 - mmseg - INFO - Iter [40450/80000] lr: 9.375e-06, eta: 2:13:22, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1860, decode.acc_seg: 92.3085, loss: 0.1860 +2023-03-04 14:10:35,844 - mmseg - INFO - Iter [40500/80000] lr: 9.375e-06, eta: 2:13:10, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2092, decode.acc_seg: 91.2407, loss: 0.2092 +2023-03-04 14:10:44,550 - mmseg - INFO - Iter [40550/80000] lr: 9.375e-06, eta: 2:12:59, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 92.1152, loss: 0.1918 +2023-03-04 14:10:53,253 - mmseg - INFO - Iter [40600/80000] lr: 9.375e-06, eta: 2:12:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8058, loss: 0.1986 +2023-03-04 14:11:02,228 - mmseg - INFO - Iter [40650/80000] lr: 9.375e-06, eta: 2:12:35, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.7751, loss: 0.1978 +2023-03-04 14:11:11,021 - mmseg - INFO - Iter [40700/80000] lr: 9.375e-06, eta: 2:12:24, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.9427, loss: 0.1949 +2023-03-04 14:11:20,139 - mmseg - INFO - Iter [40750/80000] lr: 9.375e-06, eta: 2:12:12, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.5087, loss: 0.2036 +2023-03-04 14:11:29,148 - mmseg - INFO - Iter [40800/80000] lr: 9.375e-06, eta: 2:12:01, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.7713, loss: 0.1996 +2023-03-04 14:11:40,738 - mmseg - INFO - Iter [40850/80000] lr: 9.375e-06, eta: 2:11:52, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.6386, loss: 0.2050 +2023-03-04 14:11:49,507 - mmseg - INFO - Iter [40900/80000] lr: 9.375e-06, eta: 2:11:41, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.7619, loss: 0.1997 +2023-03-04 14:11:58,780 - mmseg - INFO - Iter [40950/80000] lr: 9.375e-06, eta: 2:11:30, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1931, decode.acc_seg: 92.0891, loss: 0.1931 +2023-03-04 14:12:07,762 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:12:07,762 - mmseg - INFO - Iter [41000/80000] lr: 9.375e-06, eta: 2:11:18, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.7094, loss: 0.2009 +2023-03-04 14:12:16,773 - mmseg - INFO - Iter [41050/80000] lr: 9.375e-06, eta: 2:11:07, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.5608, loss: 0.2062 +2023-03-04 14:12:25,455 - mmseg - INFO - Iter [41100/80000] lr: 9.375e-06, eta: 2:10:55, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.5308, loss: 0.2039 +2023-03-04 14:12:35,054 - mmseg - INFO - Iter [41150/80000] lr: 9.375e-06, eta: 2:10:44, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.5490, loss: 0.2051 +2023-03-04 14:12:44,155 - mmseg - INFO - Iter [41200/80000] lr: 9.375e-06, eta: 2:10:33, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1903, decode.acc_seg: 92.1499, loss: 0.1903 +2023-03-04 14:12:53,872 - mmseg - INFO - Iter [41250/80000] lr: 9.375e-06, eta: 2:10:23, time: 0.194, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.9580, loss: 0.1959 +2023-03-04 14:13:02,537 - mmseg - INFO - Iter [41300/80000] lr: 9.375e-06, eta: 2:10:11, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.7535, loss: 0.1985 +2023-03-04 14:13:11,374 - mmseg - INFO - Iter [41350/80000] lr: 9.375e-06, eta: 2:09:59, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.5628, loss: 0.2076 +2023-03-04 14:13:20,411 - mmseg - INFO - Iter [41400/80000] lr: 9.375e-06, eta: 2:09:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2071, decode.acc_seg: 91.5725, loss: 0.2071 +2023-03-04 14:13:31,718 - mmseg - INFO - Iter [41450/80000] lr: 9.375e-06, eta: 2:09:39, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.9623, loss: 0.1970 +2023-03-04 14:13:40,392 - mmseg - INFO - Iter [41500/80000] lr: 9.375e-06, eta: 2:09:28, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1822, decode.acc_seg: 92.2895, loss: 0.1822 +2023-03-04 14:13:49,593 - mmseg - INFO - Iter [41550/80000] lr: 9.375e-06, eta: 2:09:17, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.6826, loss: 0.2024 +2023-03-04 14:13:58,739 - mmseg - INFO - Iter [41600/80000] lr: 9.375e-06, eta: 2:09:05, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1928, decode.acc_seg: 91.9691, loss: 0.1928 +2023-03-04 14:14:08,027 - mmseg - INFO - Iter [41650/80000] lr: 9.375e-06, eta: 2:08:54, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2124, decode.acc_seg: 91.3346, loss: 0.2124 +2023-03-04 14:14:16,880 - mmseg - INFO - Iter [41700/80000] lr: 9.375e-06, eta: 2:08:43, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.8350, loss: 0.2003 +2023-03-04 14:14:26,111 - mmseg - INFO - Iter [41750/80000] lr: 9.375e-06, eta: 2:08:32, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.7689, loss: 0.1991 +2023-03-04 14:14:35,344 - mmseg - INFO - Iter [41800/80000] lr: 9.375e-06, eta: 2:08:21, time: 0.184, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0462, loss: 0.1926 +2023-03-04 14:14:44,112 - mmseg - INFO - Iter [41850/80000] lr: 9.375e-06, eta: 2:08:09, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9558, loss: 0.1977 +2023-03-04 14:14:52,794 - mmseg - INFO - Iter [41900/80000] lr: 9.375e-06, eta: 2:07:58, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.8806, loss: 0.2015 +2023-03-04 14:15:01,590 - mmseg - INFO - Iter [41950/80000] lr: 9.375e-06, eta: 2:07:46, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 91.9637, loss: 0.1940 +2023-03-04 14:15:10,639 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:15:10,639 - mmseg - INFO - Iter [42000/80000] lr: 9.375e-06, eta: 2:07:35, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 92.1164, loss: 0.1918 +2023-03-04 14:15:19,658 - mmseg - INFO - Iter [42050/80000] lr: 9.375e-06, eta: 2:07:24, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1927, decode.acc_seg: 92.0280, loss: 0.1927 +2023-03-04 14:15:30,916 - mmseg - INFO - Iter [42100/80000] lr: 9.375e-06, eta: 2:07:15, time: 0.225, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.7733, loss: 0.2023 +2023-03-04 14:15:39,963 - mmseg - INFO - Iter [42150/80000] lr: 9.375e-06, eta: 2:07:04, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.8926, loss: 0.1965 +2023-03-04 14:15:49,193 - mmseg - INFO - Iter [42200/80000] lr: 9.375e-06, eta: 2:06:53, time: 0.184, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 92.0497, loss: 0.1943 +2023-03-04 14:15:58,558 - mmseg - INFO - Iter [42250/80000] lr: 9.375e-06, eta: 2:06:42, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7386, loss: 0.2015 +2023-03-04 14:16:07,477 - mmseg - INFO - Iter [42300/80000] lr: 9.375e-06, eta: 2:06:30, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.8288, loss: 0.1952 +2023-03-04 14:16:16,323 - mmseg - INFO - Iter [42350/80000] lr: 9.375e-06, eta: 2:06:19, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.8177, loss: 0.2036 +2023-03-04 14:16:25,549 - mmseg - INFO - Iter [42400/80000] lr: 9.375e-06, eta: 2:06:08, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.6525, loss: 0.2048 +2023-03-04 14:16:34,793 - mmseg - INFO - Iter [42450/80000] lr: 9.375e-06, eta: 2:05:57, time: 0.185, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2056, decode.acc_seg: 91.6151, loss: 0.2056 +2023-03-04 14:16:43,936 - mmseg - INFO - Iter [42500/80000] lr: 9.375e-06, eta: 2:05:46, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.7524, loss: 0.1996 +2023-03-04 14:16:53,225 - mmseg - INFO - Iter [42550/80000] lr: 9.375e-06, eta: 2:05:35, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.8083, loss: 0.1982 +2023-03-04 14:17:02,439 - mmseg - INFO - Iter [42600/80000] lr: 9.375e-06, eta: 2:05:24, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.7862, loss: 0.1986 +2023-03-04 14:17:11,758 - mmseg - INFO - Iter [42650/80000] lr: 9.375e-06, eta: 2:05:13, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 91.9967, loss: 0.1936 +2023-03-04 14:17:20,946 - mmseg - INFO - Iter [42700/80000] lr: 9.375e-06, eta: 2:05:02, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2168, decode.acc_seg: 91.2567, loss: 0.2168 +2023-03-04 14:17:32,113 - mmseg - INFO - Iter [42750/80000] lr: 9.375e-06, eta: 2:04:53, time: 0.223, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.9664, loss: 0.1970 +2023-03-04 14:17:41,199 - mmseg - INFO - Iter [42800/80000] lr: 9.375e-06, eta: 2:04:42, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2081, decode.acc_seg: 91.4596, loss: 0.2081 +2023-03-04 14:17:49,901 - mmseg - INFO - Iter [42850/80000] lr: 9.375e-06, eta: 2:04:31, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.7426, loss: 0.1988 +2023-03-04 14:17:58,532 - mmseg - INFO - Iter [42900/80000] lr: 9.375e-06, eta: 2:04:19, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.6691, loss: 0.2006 +2023-03-04 14:18:07,497 - mmseg - INFO - Iter [42950/80000] lr: 9.375e-06, eta: 2:04:08, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6980, loss: 0.2025 +2023-03-04 14:18:16,563 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:18:16,563 - mmseg - INFO - Iter [43000/80000] lr: 9.375e-06, eta: 2:03:57, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1984, decode.acc_seg: 91.8325, loss: 0.1984 +2023-03-04 14:18:25,617 - mmseg - INFO - Iter [43050/80000] lr: 9.375e-06, eta: 2:03:46, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.8311, loss: 0.2004 +2023-03-04 14:18:34,402 - mmseg - INFO - Iter [43100/80000] lr: 9.375e-06, eta: 2:03:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 92.0507, loss: 0.1937 +2023-03-04 14:18:43,734 - mmseg - INFO - Iter [43150/80000] lr: 9.375e-06, eta: 2:03:24, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.5352, loss: 0.2050 +2023-03-04 14:18:52,720 - mmseg - INFO - Iter [43200/80000] lr: 9.375e-06, eta: 2:03:13, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7564, loss: 0.2014 +2023-03-04 14:19:01,436 - mmseg - INFO - Iter [43250/80000] lr: 9.375e-06, eta: 2:03:01, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.5227, loss: 0.2039 +2023-03-04 14:19:10,653 - mmseg - INFO - Iter [43300/80000] lr: 9.375e-06, eta: 2:02:50, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.7572, loss: 0.2016 +2023-03-04 14:19:22,402 - mmseg - INFO - Iter [43350/80000] lr: 9.375e-06, eta: 2:02:42, time: 0.235, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.6478, loss: 0.2044 +2023-03-04 14:19:31,161 - mmseg - INFO - Iter [43400/80000] lr: 9.375e-06, eta: 2:02:31, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2067, decode.acc_seg: 91.6380, loss: 0.2067 +2023-03-04 14:19:39,790 - mmseg - INFO - Iter [43450/80000] lr: 9.375e-06, eta: 2:02:19, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.9251, loss: 0.1965 +2023-03-04 14:19:48,578 - mmseg - INFO - Iter [43500/80000] lr: 9.375e-06, eta: 2:02:08, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.8797, loss: 0.1981 +2023-03-04 14:19:57,622 - mmseg - INFO - Iter [43550/80000] lr: 9.375e-06, eta: 2:01:57, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.6246, loss: 0.2053 +2023-03-04 14:20:06,799 - mmseg - INFO - Iter [43600/80000] lr: 9.375e-06, eta: 2:01:46, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8407, loss: 0.1985 +2023-03-04 14:20:15,493 - mmseg - INFO - Iter [43650/80000] lr: 9.375e-06, eta: 2:01:34, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.8497, loss: 0.2012 +2023-03-04 14:20:24,506 - mmseg - INFO - Iter [43700/80000] lr: 9.375e-06, eta: 2:01:23, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.5789, loss: 0.2045 +2023-03-04 14:20:33,290 - mmseg - INFO - Iter [43750/80000] lr: 9.375e-06, eta: 2:01:12, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6751, loss: 0.2026 +2023-03-04 14:20:42,182 - mmseg - INFO - Iter [43800/80000] lr: 9.375e-06, eta: 2:01:01, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6782, loss: 0.2061 +2023-03-04 14:20:51,393 - mmseg - INFO - Iter [43850/80000] lr: 9.375e-06, eta: 2:00:50, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1908, decode.acc_seg: 92.0455, loss: 0.1908 +2023-03-04 14:21:00,293 - mmseg - INFO - Iter [43900/80000] lr: 9.375e-06, eta: 2:00:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.6930, loss: 0.2039 +2023-03-04 14:21:09,551 - mmseg - INFO - Iter [43950/80000] lr: 9.375e-06, eta: 2:00:28, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.8152, loss: 0.1997 +2023-03-04 14:21:20,818 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:21:20,819 - mmseg - INFO - Iter [44000/80000] lr: 9.375e-06, eta: 2:00:19, time: 0.225, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.6906, loss: 0.2040 +2023-03-04 14:21:29,525 - mmseg - INFO - Iter [44050/80000] lr: 9.375e-06, eta: 2:00:08, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.8502, loss: 0.1952 +2023-03-04 14:21:38,716 - mmseg - INFO - Iter [44100/80000] lr: 9.375e-06, eta: 1:59:57, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2126, decode.acc_seg: 91.4421, loss: 0.2126 +2023-03-04 14:21:47,618 - mmseg - INFO - Iter [44150/80000] lr: 9.375e-06, eta: 1:59:46, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1894, decode.acc_seg: 92.1379, loss: 0.1894 +2023-03-04 14:21:56,610 - mmseg - INFO - Iter [44200/80000] lr: 9.375e-06, eta: 1:59:35, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1898, decode.acc_seg: 92.2049, loss: 0.1898 +2023-03-04 14:22:05,578 - mmseg - INFO - Iter [44250/80000] lr: 9.375e-06, eta: 1:59:24, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.2401, loss: 0.1912 +2023-03-04 14:22:14,573 - mmseg - INFO - Iter [44300/80000] lr: 9.375e-06, eta: 1:59:13, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.8629, loss: 0.2011 +2023-03-04 14:22:23,480 - mmseg - INFO - Iter [44350/80000] lr: 9.375e-06, eta: 1:59:02, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.7744, loss: 0.2001 +2023-03-04 14:22:32,481 - mmseg - INFO - Iter [44400/80000] lr: 9.375e-06, eta: 1:58:51, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.6557, loss: 0.1995 +2023-03-04 14:22:41,315 - mmseg - INFO - Iter [44450/80000] lr: 9.375e-06, eta: 1:58:39, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.9891, loss: 0.1986 +2023-03-04 14:22:50,198 - mmseg - INFO - Iter [44500/80000] lr: 9.375e-06, eta: 1:58:28, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7159, loss: 0.2002 +2023-03-04 14:22:59,059 - mmseg - INFO - Iter [44550/80000] lr: 9.375e-06, eta: 1:58:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.6806, loss: 0.2040 +2023-03-04 14:23:11,243 - mmseg - INFO - Iter [44600/80000] lr: 9.375e-06, eta: 1:58:09, time: 0.244, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.8602, loss: 0.1959 +2023-03-04 14:23:20,349 - mmseg - INFO - Iter [44650/80000] lr: 9.375e-06, eta: 1:57:58, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.9674, loss: 0.1950 +2023-03-04 14:23:29,215 - mmseg - INFO - Iter [44700/80000] lr: 9.375e-06, eta: 1:57:47, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2037, decode.acc_seg: 91.5511, loss: 0.2037 +2023-03-04 14:23:38,199 - mmseg - INFO - Iter [44750/80000] lr: 9.375e-06, eta: 1:57:36, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.6349, loss: 0.2049 +2023-03-04 14:23:47,777 - mmseg - INFO - Iter [44800/80000] lr: 9.375e-06, eta: 1:57:26, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1879, decode.acc_seg: 92.2193, loss: 0.1879 +2023-03-04 14:23:57,182 - mmseg - INFO - Iter [44850/80000] lr: 9.375e-06, eta: 1:57:15, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.8711, loss: 0.1966 +2023-03-04 14:24:06,090 - mmseg - INFO - Iter [44900/80000] lr: 9.375e-06, eta: 1:57:04, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2053, decode.acc_seg: 91.6667, loss: 0.2053 +2023-03-04 14:24:15,305 - mmseg - INFO - Iter [44950/80000] lr: 9.375e-06, eta: 1:56:53, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.9054, loss: 0.1975 +2023-03-04 14:24:24,316 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:24:24,316 - mmseg - INFO - Iter [45000/80000] lr: 9.375e-06, eta: 1:56:43, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.7066, loss: 0.2033 +2023-03-04 14:24:32,917 - mmseg - INFO - Iter [45050/80000] lr: 9.375e-06, eta: 1:56:31, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.7927, loss: 0.1990 +2023-03-04 14:24:42,180 - mmseg - INFO - Iter [45100/80000] lr: 9.375e-06, eta: 1:56:20, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.5371, loss: 0.2085 +2023-03-04 14:24:51,177 - mmseg - INFO - Iter [45150/80000] lr: 9.375e-06, eta: 1:56:10, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.6593, loss: 0.2032 +2023-03-04 14:24:59,954 - mmseg - INFO - Iter [45200/80000] lr: 9.375e-06, eta: 1:55:58, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 92.0244, loss: 0.1980 +2023-03-04 14:25:11,300 - mmseg - INFO - Iter [45250/80000] lr: 9.375e-06, eta: 1:55:50, time: 0.227, data_time: 0.058, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.8617, loss: 0.1961 +2023-03-04 14:25:20,333 - mmseg - INFO - Iter [45300/80000] lr: 9.375e-06, eta: 1:55:39, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.9668, loss: 0.1964 +2023-03-04 14:25:29,574 - mmseg - INFO - Iter [45350/80000] lr: 9.375e-06, eta: 1:55:28, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7044, loss: 0.2020 +2023-03-04 14:25:38,523 - mmseg - INFO - Iter [45400/80000] lr: 9.375e-06, eta: 1:55:17, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2127, decode.acc_seg: 91.3074, loss: 0.2127 +2023-03-04 14:25:47,516 - mmseg - INFO - Iter [45450/80000] lr: 9.375e-06, eta: 1:55:06, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.7124, loss: 0.2013 +2023-03-04 14:25:56,383 - mmseg - INFO - Iter [45500/80000] lr: 9.375e-06, eta: 1:54:55, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1858, decode.acc_seg: 92.3197, loss: 0.1858 +2023-03-04 14:26:05,436 - mmseg - INFO - Iter [45550/80000] lr: 9.375e-06, eta: 1:54:44, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.5628, loss: 0.2043 +2023-03-04 14:26:14,461 - mmseg - INFO - Iter [45600/80000] lr: 9.375e-06, eta: 1:54:33, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.7577, loss: 0.1983 +2023-03-04 14:26:23,390 - mmseg - INFO - Iter [45650/80000] lr: 9.375e-06, eta: 1:54:22, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.6949, loss: 0.2043 +2023-03-04 14:26:32,396 - mmseg - INFO - Iter [45700/80000] lr: 9.375e-06, eta: 1:54:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.9044, loss: 0.1980 +2023-03-04 14:26:41,290 - mmseg - INFO - Iter [45750/80000] lr: 9.375e-06, eta: 1:54:01, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.8702, loss: 0.2015 +2023-03-04 14:26:50,653 - mmseg - INFO - Iter [45800/80000] lr: 9.375e-06, eta: 1:53:50, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.8453, loss: 0.2009 +2023-03-04 14:26:59,532 - mmseg - INFO - Iter [45850/80000] lr: 9.375e-06, eta: 1:53:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1908, decode.acc_seg: 91.9831, loss: 0.1908 +2023-03-04 14:27:10,924 - mmseg - INFO - Iter [45900/80000] lr: 9.375e-06, eta: 1:53:30, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6093, loss: 0.2028 +2023-03-04 14:27:19,912 - mmseg - INFO - Iter [45950/80000] lr: 9.375e-06, eta: 1:53:19, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9024, loss: 0.1948 +2023-03-04 14:27:28,571 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:27:28,571 - mmseg - INFO - Iter [46000/80000] lr: 9.375e-06, eta: 1:53:08, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1857, decode.acc_seg: 92.2916, loss: 0.1857 +2023-03-04 14:27:37,672 - mmseg - INFO - Iter [46050/80000] lr: 9.375e-06, eta: 1:52:57, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.7652, loss: 0.2006 +2023-03-04 14:27:46,549 - mmseg - INFO - Iter [46100/80000] lr: 9.375e-06, eta: 1:52:47, time: 0.178, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.5340, loss: 0.2043 +2023-03-04 14:27:55,452 - mmseg - INFO - Iter [46150/80000] lr: 9.375e-06, eta: 1:52:36, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.9124, loss: 0.1965 +2023-03-04 14:28:04,260 - mmseg - INFO - Iter [46200/80000] lr: 9.375e-06, eta: 1:52:25, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.6601, loss: 0.1985 +2023-03-04 14:28:13,066 - mmseg - INFO - Iter [46250/80000] lr: 9.375e-06, eta: 1:52:14, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2027, decode.acc_seg: 91.7760, loss: 0.2027 +2023-03-04 14:28:21,932 - mmseg - INFO - Iter [46300/80000] lr: 9.375e-06, eta: 1:52:03, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9250, loss: 0.1977 +2023-03-04 14:28:31,065 - mmseg - INFO - Iter [46350/80000] lr: 9.375e-06, eta: 1:51:52, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 92.1076, loss: 0.1945 +2023-03-04 14:28:40,058 - mmseg - INFO - Iter [46400/80000] lr: 9.375e-06, eta: 1:51:41, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 91.8623, loss: 0.1946 +2023-03-04 14:28:49,128 - mmseg - INFO - Iter [46450/80000] lr: 9.375e-06, eta: 1:51:30, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.7621, loss: 0.2004 +2023-03-04 14:29:00,912 - mmseg - INFO - Iter [46500/80000] lr: 9.375e-06, eta: 1:51:22, time: 0.236, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.8739, loss: 0.2007 +2023-03-04 14:29:09,755 - mmseg - INFO - Iter [46550/80000] lr: 9.375e-06, eta: 1:51:11, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.8936, loss: 0.1956 +2023-03-04 14:29:18,750 - mmseg - INFO - Iter [46600/80000] lr: 9.375e-06, eta: 1:51:00, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1906, decode.acc_seg: 92.0005, loss: 0.1906 +2023-03-04 14:29:27,688 - mmseg - INFO - Iter [46650/80000] lr: 9.375e-06, eta: 1:50:49, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.7401, loss: 0.2008 +2023-03-04 14:29:36,446 - mmseg - INFO - Iter [46700/80000] lr: 9.375e-06, eta: 1:50:38, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.5562, loss: 0.2058 +2023-03-04 14:29:45,005 - mmseg - INFO - Iter [46750/80000] lr: 9.375e-06, eta: 1:50:27, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9283, loss: 0.1976 +2023-03-04 14:29:54,532 - mmseg - INFO - Iter [46800/80000] lr: 9.375e-06, eta: 1:50:17, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2087, decode.acc_seg: 91.4822, loss: 0.2087 +2023-03-04 14:30:03,676 - mmseg - INFO - Iter [46850/80000] lr: 9.375e-06, eta: 1:50:06, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2093, decode.acc_seg: 91.5076, loss: 0.2093 +2023-03-04 14:30:12,625 - mmseg - INFO - Iter [46900/80000] lr: 9.375e-06, eta: 1:49:55, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1900, decode.acc_seg: 92.0667, loss: 0.1900 +2023-03-04 14:30:21,771 - mmseg - INFO - Iter [46950/80000] lr: 9.375e-06, eta: 1:49:45, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 92.1300, loss: 0.1945 +2023-03-04 14:30:30,437 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:30:30,438 - mmseg - INFO - Iter [47000/80000] lr: 9.375e-06, eta: 1:49:34, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 91.9358, loss: 0.1929 +2023-03-04 14:30:39,403 - mmseg - INFO - Iter [47050/80000] lr: 9.375e-06, eta: 1:49:23, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1923, decode.acc_seg: 91.9589, loss: 0.1923 +2023-03-04 14:30:48,039 - mmseg - INFO - Iter [47100/80000] lr: 9.375e-06, eta: 1:49:12, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7538, loss: 0.2015 +2023-03-04 14:30:59,390 - mmseg - INFO - Iter [47150/80000] lr: 9.375e-06, eta: 1:49:03, time: 0.227, data_time: 0.052, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.5834, loss: 0.2025 +2023-03-04 14:31:08,182 - mmseg - INFO - Iter [47200/80000] lr: 9.375e-06, eta: 1:48:52, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.7241, loss: 0.1993 +2023-03-04 14:31:16,976 - mmseg - INFO - Iter [47250/80000] lr: 9.375e-06, eta: 1:48:41, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2062, decode.acc_seg: 91.5716, loss: 0.2062 +2023-03-04 14:31:26,041 - mmseg - INFO - Iter [47300/80000] lr: 9.375e-06, eta: 1:48:30, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1931, decode.acc_seg: 92.1072, loss: 0.1931 +2023-03-04 14:31:34,936 - mmseg - INFO - Iter [47350/80000] lr: 9.375e-06, eta: 1:48:19, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2119, decode.acc_seg: 91.4777, loss: 0.2119 +2023-03-04 14:31:43,953 - mmseg - INFO - Iter [47400/80000] lr: 9.375e-06, eta: 1:48:09, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9129, loss: 0.1981 +2023-03-04 14:31:52,805 - mmseg - INFO - Iter [47450/80000] lr: 9.375e-06, eta: 1:47:58, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1935, decode.acc_seg: 92.0715, loss: 0.1935 +2023-03-04 14:32:01,635 - mmseg - INFO - Iter [47500/80000] lr: 9.375e-06, eta: 1:47:47, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1999, decode.acc_seg: 91.7999, loss: 0.1999 +2023-03-04 14:32:10,305 - mmseg - INFO - Iter [47550/80000] lr: 9.375e-06, eta: 1:47:36, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2070, decode.acc_seg: 91.4559, loss: 0.2070 +2023-03-04 14:32:19,459 - mmseg - INFO - Iter [47600/80000] lr: 9.375e-06, eta: 1:47:25, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.8394, loss: 0.2010 +2023-03-04 14:32:28,401 - mmseg - INFO - Iter [47650/80000] lr: 9.375e-06, eta: 1:47:15, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.6425, loss: 0.2023 +2023-03-04 14:32:37,161 - mmseg - INFO - Iter [47700/80000] lr: 9.375e-06, eta: 1:47:04, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 92.0247, loss: 0.1964 +2023-03-04 14:32:46,031 - mmseg - INFO - Iter [47750/80000] lr: 9.375e-06, eta: 1:46:53, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.5997, loss: 0.2010 +2023-03-04 14:32:58,684 - mmseg - INFO - Iter [47800/80000] lr: 9.375e-06, eta: 1:46:45, time: 0.253, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.7986, loss: 0.1972 +2023-03-04 14:33:08,060 - mmseg - INFO - Iter [47850/80000] lr: 9.375e-06, eta: 1:46:35, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.9581, loss: 0.1968 +2023-03-04 14:33:17,316 - mmseg - INFO - Iter [47900/80000] lr: 9.375e-06, eta: 1:46:24, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1914, decode.acc_seg: 92.1371, loss: 0.1914 +2023-03-04 14:33:26,078 - mmseg - INFO - Iter [47950/80000] lr: 9.375e-06, eta: 1:46:13, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.9139, loss: 0.1965 +2023-03-04 14:33:34,818 - mmseg - INFO - Saving checkpoint at 48000 iterations +2023-03-04 14:33:35,565 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:33:35,565 - mmseg - INFO - Iter [48000/80000] lr: 9.375e-06, eta: 1:46:03, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.6745, loss: 0.2036 +2023-03-04 14:33:51,347 - mmseg - INFO - per class results: +2023-03-04 14:33:51,353 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.12 | 89.15 | +| building | 81.45 | 91.82 | +| sky | 94.39 | 97.27 | +| floor | 81.33 | 90.99 | +| tree | 73.8 | 87.87 | +| ceiling | 85.1 | 93.1 | +| road | 81.83 | 90.18 | +| bed | 87.2 | 95.34 | +| windowpane | 59.93 | 77.97 | +| grass | 67.26 | 82.87 | +| cabinet | 59.18 | 71.19 | +| sidewalk | 63.58 | 78.91 | +| person | 79.02 | 92.08 | +| earth | 35.87 | 49.29 | +| door | 44.71 | 57.75 | +| table | 59.37 | 76.63 | +| mountain | 57.87 | 73.27 | +| plant | 49.3 | 61.19 | +| curtain | 73.91 | 84.07 | +| chair | 55.62 | 68.73 | +| car | 80.93 | 92.52 | +| water | 57.24 | 75.26 | +| painting | 70.38 | 84.73 | +| sofa | 63.12 | 82.15 | +| shelf | 42.79 | 60.6 | +| house | 41.04 | 54.56 | +| sea | 59.78 | 76.69 | +| mirror | 65.13 | 74.32 | +| rug | 63.13 | 70.41 | +| field | 30.66 | 45.03 | +| armchair | 36.82 | 53.27 | +| seat | 65.95 | 82.56 | +| fence | 40.4 | 52.77 | +| desk | 44.99 | 67.9 | +| rock | 36.6 | 59.86 | +| wardrobe | 55.75 | 69.12 | +| lamp | 60.03 | 74.18 | +| bathtub | 74.45 | 82.79 | +| railing | 33.42 | 46.99 | +| cushion | 55.71 | 68.49 | +| base | 19.9 | 24.29 | +| box | 23.1 | 30.89 | +| column | 44.83 | 56.24 | +| signboard | 37.58 | 51.02 | +| chest of drawers | 36.24 | 57.35 | +| counter | 30.93 | 41.06 | +| sand | 43.7 | 60.6 | +| sink | 66.58 | 78.48 | +| skyscraper | 49.23 | 61.4 | +| fireplace | 73.21 | 84.38 | +| refrigerator | 73.79 | 85.66 | +| grandstand | 53.52 | 65.74 | +| path | 22.18 | 30.14 | +| stairs | 32.01 | 39.44 | +| runway | 66.81 | 85.61 | +| case | 47.05 | 59.29 | +| pool table | 91.43 | 94.37 | +| pillow | 61.15 | 72.87 | +| screen door | 65.88 | 71.69 | +| stairway | 22.15 | 34.75 | +| river | 12.02 | 22.37 | +| bridge | 33.08 | 37.94 | +| bookcase | 44.08 | 61.75 | +| blind | 38.19 | 43.32 | +| coffee table | 52.9 | 77.01 | +| toilet | 83.5 | 89.03 | +| flower | 37.84 | 52.49 | +| book | 44.37 | 65.08 | +| hill | 14.19 | 20.27 | +| bench | 41.88 | 55.76 | +| countertop | 53.32 | 72.02 | +| stove | 69.85 | 80.93 | +| palm | 47.96 | 69.46 | +| kitchen island | 38.06 | 55.59 | +| computer | 59.47 | 68.89 | +| swivel chair | 45.85 | 63.65 | +| boat | 68.99 | 83.84 | +| bar | 24.09 | 32.65 | +| arcade machine | 70.83 | 73.58 | +| hovel | 33.47 | 37.67 | +| bus | 78.41 | 89.99 | +| towel | 62.71 | 72.38 | +| light | 51.11 | 56.2 | +| truck | 16.45 | 21.72 | +| tower | 6.32 | 10.07 | +| chandelier | 62.83 | 76.7 | +| awning | 23.81 | 27.43 | +| streetlight | 26.27 | 36.37 | +| booth | 40.22 | 41.53 | +| television receiver | 64.38 | 76.41 | +| airplane | 59.07 | 65.74 | +| dirt track | 21.78 | 50.24 | +| apparel | 34.38 | 54.17 | +| pole | 14.56 | 18.5 | +| land | 3.6 | 5.08 | +| bannister | 12.16 | 16.95 | +| escalator | 24.09 | 25.79 | +| ottoman | 42.69 | 60.13 | +| bottle | 34.61 | 54.19 | +| buffet | 36.45 | 42.1 | +| poster | 23.42 | 34.23 | +| stage | 13.72 | 17.83 | +| van | 37.42 | 55.13 | +| ship | 77.29 | 91.39 | +| fountain | 21.66 | 22.03 | +| conveyer belt | 84.03 | 90.43 | +| canopy | 24.68 | 26.51 | +| washer | 79.64 | 82.13 | +| plaything | 20.73 | 28.84 | +| swimming pool | 69.92 | 82.59 | +| stool | 42.64 | 55.29 | +| barrel | 50.94 | 57.9 | +| basket | 25.43 | 36.66 | +| waterfall | 48.55 | 63.55 | +| tent | 94.48 | 97.56 | +| bag | 15.43 | 19.33 | +| minibike | 61.72 | 73.22 | +| cradle | 83.52 | 95.9 | +| oven | 45.44 | 66.11 | +| ball | 41.98 | 47.74 | +| food | 49.54 | 58.74 | +| step | 4.14 | 4.41 | +| tank | 50.58 | 55.44 | +| trade name | 26.62 | 29.51 | +| microwave | 72.29 | 78.07 | +| pot | 31.18 | 35.98 | +| animal | 52.92 | 60.43 | +| bicycle | 52.65 | 71.22 | +| lake | 57.33 | 62.85 | +| dishwasher | 64.41 | 76.38 | +| screen | 68.81 | 83.88 | +| blanket | 16.86 | 19.31 | +| sculpture | 54.67 | 79.25 | +| hood | 57.66 | 63.59 | +| sconce | 40.86 | 49.04 | +| vase | 36.39 | 51.79 | +| traffic light | 32.35 | 46.94 | +| tray | 6.13 | 9.3 | +| ashcan | 42.1 | 52.76 | +| fan | 57.83 | 67.9 | +| pier | 46.01 | 65.76 | +| crt screen | 8.22 | 21.39 | +| plate | 50.39 | 67.12 | +| monitor | 19.55 | 23.27 | +| bulletin board | 36.47 | 47.05 | +| shower | 1.34 | 6.78 | +| radiator | 60.26 | 68.08 | +| glass | 12.45 | 13.77 | +| clock | 34.25 | 38.97 | +| flag | 34.01 | 37.17 | ++---------------------+-------+-------+ +2023-03-04 14:33:51,353 - mmseg - INFO - Summary: +2023-03-04 14:33:51,354 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.51 | 47.85 | 58.83 | ++-------+-------+-------+ +2023-03-04 14:33:51,376 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_32000.pth was removed +2023-03-04 14:33:51,994 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2023-03-04 14:33:51,994 - mmseg - INFO - Best mIoU is 0.4785 at 48000 iter. +2023-03-04 14:33:51,995 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:33:51,995 - mmseg - INFO - Iter(val) [250] aAcc: 0.8251, mIoU: 0.4785, mAcc: 0.5883, IoU.background: nan, IoU.wall: 0.7712, IoU.building: 0.8145, IoU.sky: 0.9439, IoU.floor: 0.8133, IoU.tree: 0.7380, IoU.ceiling: 0.8510, IoU.road: 0.8183, IoU.bed : 0.8720, IoU.windowpane: 0.5993, IoU.grass: 0.6726, IoU.cabinet: 0.5918, IoU.sidewalk: 0.6358, IoU.person: 0.7902, IoU.earth: 0.3587, IoU.door: 0.4471, IoU.table: 0.5937, IoU.mountain: 0.5787, IoU.plant: 0.4930, IoU.curtain: 0.7391, IoU.chair: 0.5562, IoU.car: 0.8093, IoU.water: 0.5724, IoU.painting: 0.7038, IoU.sofa: 0.6312, IoU.shelf: 0.4279, IoU.house: 0.4104, IoU.sea: 0.5978, IoU.mirror: 0.6513, IoU.rug: 0.6313, IoU.field: 0.3066, IoU.armchair: 0.3682, IoU.seat: 0.6595, IoU.fence: 0.4040, IoU.desk: 0.4499, IoU.rock: 0.3660, IoU.wardrobe: 0.5575, IoU.lamp: 0.6003, IoU.bathtub: 0.7445, IoU.railing: 0.3342, IoU.cushion: 0.5571, IoU.base: 0.1990, IoU.box: 0.2310, IoU.column: 0.4483, IoU.signboard: 0.3758, IoU.chest of drawers: 0.3624, IoU.counter: 0.3093, IoU.sand: 0.4370, IoU.sink: 0.6658, IoU.skyscraper: 0.4923, IoU.fireplace: 0.7321, IoU.refrigerator: 0.7379, IoU.grandstand: 0.5352, IoU.path: 0.2218, IoU.stairs: 0.3201, IoU.runway: 0.6681, IoU.case: 0.4705, IoU.pool table: 0.9143, IoU.pillow: 0.6115, IoU.screen door: 0.6588, IoU.stairway: 0.2215, IoU.river: 0.1202, IoU.bridge: 0.3308, IoU.bookcase: 0.4408, IoU.blind: 0.3819, IoU.coffee table: 0.5290, IoU.toilet: 0.8350, IoU.flower: 0.3784, IoU.book: 0.4437, IoU.hill: 0.1419, IoU.bench: 0.4188, IoU.countertop: 0.5332, IoU.stove: 0.6985, IoU.palm: 0.4796, IoU.kitchen island: 0.3806, IoU.computer: 0.5947, IoU.swivel chair: 0.4585, IoU.boat: 0.6899, IoU.bar: 0.2409, IoU.arcade machine: 0.7083, IoU.hovel: 0.3347, IoU.bus: 0.7841, IoU.towel: 0.6271, IoU.light: 0.5111, IoU.truck: 0.1645, IoU.tower: 0.0632, IoU.chandelier: 0.6283, IoU.awning: 0.2381, IoU.streetlight: 0.2627, IoU.booth: 0.4022, IoU.television receiver: 0.6438, IoU.airplane: 0.5907, IoU.dirt track: 0.2178, IoU.apparel: 0.3438, IoU.pole: 0.1456, IoU.land: 0.0360, IoU.bannister: 0.1216, IoU.escalator: 0.2409, IoU.ottoman: 0.4269, IoU.bottle: 0.3461, IoU.buffet: 0.3645, IoU.poster: 0.2342, IoU.stage: 0.1372, IoU.van: 0.3742, IoU.ship: 0.7729, IoU.fountain: 0.2166, IoU.conveyer belt: 0.8403, IoU.canopy: 0.2468, IoU.washer: 0.7964, IoU.plaything: 0.2073, IoU.swimming pool: 0.6992, IoU.stool: 0.4264, IoU.barrel: 0.5094, IoU.basket: 0.2543, IoU.waterfall: 0.4855, IoU.tent: 0.9448, IoU.bag: 0.1543, IoU.minibike: 0.6172, IoU.cradle: 0.8352, IoU.oven: 0.4544, IoU.ball: 0.4198, IoU.food: 0.4954, IoU.step: 0.0414, IoU.tank: 0.5058, IoU.trade name: 0.2662, IoU.microwave: 0.7229, IoU.pot: 0.3118, IoU.animal: 0.5292, IoU.bicycle: 0.5265, IoU.lake: 0.5733, IoU.dishwasher: 0.6441, IoU.screen: 0.6881, IoU.blanket: 0.1686, IoU.sculpture: 0.5467, IoU.hood: 0.5766, IoU.sconce: 0.4086, IoU.vase: 0.3639, IoU.traffic light: 0.3235, IoU.tray: 0.0613, IoU.ashcan: 0.4210, IoU.fan: 0.5783, IoU.pier: 0.4601, IoU.crt screen: 0.0822, IoU.plate: 0.5039, IoU.monitor: 0.1955, IoU.bulletin board: 0.3647, IoU.shower: 0.0134, IoU.radiator: 0.6026, IoU.glass: 0.1245, IoU.clock: 0.3425, IoU.flag: 0.3401, Acc.background: nan, Acc.wall: 0.8915, Acc.building: 0.9182, Acc.sky: 0.9727, Acc.floor: 0.9099, Acc.tree: 0.8787, Acc.ceiling: 0.9310, Acc.road: 0.9018, Acc.bed : 0.9534, Acc.windowpane: 0.7797, Acc.grass: 0.8287, Acc.cabinet: 0.7119, Acc.sidewalk: 0.7891, Acc.person: 0.9208, Acc.earth: 0.4929, Acc.door: 0.5775, Acc.table: 0.7663, Acc.mountain: 0.7327, Acc.plant: 0.6119, Acc.curtain: 0.8407, Acc.chair: 0.6873, Acc.car: 0.9252, Acc.water: 0.7526, Acc.painting: 0.8473, Acc.sofa: 0.8215, Acc.shelf: 0.6060, Acc.house: 0.5456, Acc.sea: 0.7669, Acc.mirror: 0.7432, Acc.rug: 0.7041, Acc.field: 0.4503, Acc.armchair: 0.5327, Acc.seat: 0.8256, Acc.fence: 0.5277, Acc.desk: 0.6790, Acc.rock: 0.5986, Acc.wardrobe: 0.6912, Acc.lamp: 0.7418, Acc.bathtub: 0.8279, Acc.railing: 0.4699, Acc.cushion: 0.6849, Acc.base: 0.2429, Acc.box: 0.3089, Acc.column: 0.5624, Acc.signboard: 0.5102, Acc.chest of drawers: 0.5735, Acc.counter: 0.4106, Acc.sand: 0.6060, Acc.sink: 0.7848, Acc.skyscraper: 0.6140, Acc.fireplace: 0.8438, Acc.refrigerator: 0.8566, Acc.grandstand: 0.6574, Acc.path: 0.3014, Acc.stairs: 0.3944, Acc.runway: 0.8561, Acc.case: 0.5929, Acc.pool table: 0.9437, Acc.pillow: 0.7287, Acc.screen door: 0.7169, Acc.stairway: 0.3475, Acc.river: 0.2237, Acc.bridge: 0.3794, Acc.bookcase: 0.6175, Acc.blind: 0.4332, Acc.coffee table: 0.7701, Acc.toilet: 0.8903, Acc.flower: 0.5249, Acc.book: 0.6508, Acc.hill: 0.2027, Acc.bench: 0.5576, Acc.countertop: 0.7202, Acc.stove: 0.8093, Acc.palm: 0.6946, Acc.kitchen island: 0.5559, Acc.computer: 0.6889, Acc.swivel chair: 0.6365, Acc.boat: 0.8384, Acc.bar: 0.3265, Acc.arcade machine: 0.7358, Acc.hovel: 0.3767, Acc.bus: 0.8999, Acc.towel: 0.7238, Acc.light: 0.5620, Acc.truck: 0.2172, Acc.tower: 0.1007, Acc.chandelier: 0.7670, Acc.awning: 0.2743, Acc.streetlight: 0.3637, Acc.booth: 0.4153, Acc.television receiver: 0.7641, Acc.airplane: 0.6574, Acc.dirt track: 0.5024, Acc.apparel: 0.5417, Acc.pole: 0.1850, Acc.land: 0.0508, Acc.bannister: 0.1695, Acc.escalator: 0.2579, Acc.ottoman: 0.6013, Acc.bottle: 0.5419, Acc.buffet: 0.4210, Acc.poster: 0.3423, Acc.stage: 0.1783, Acc.van: 0.5513, Acc.ship: 0.9139, Acc.fountain: 0.2203, Acc.conveyer belt: 0.9043, Acc.canopy: 0.2651, Acc.washer: 0.8213, Acc.plaything: 0.2884, Acc.swimming pool: 0.8259, Acc.stool: 0.5529, Acc.barrel: 0.5790, Acc.basket: 0.3666, Acc.waterfall: 0.6355, Acc.tent: 0.9756, Acc.bag: 0.1933, Acc.minibike: 0.7322, Acc.cradle: 0.9590, Acc.oven: 0.6611, Acc.ball: 0.4774, Acc.food: 0.5874, Acc.step: 0.0441, Acc.tank: 0.5544, Acc.trade name: 0.2951, Acc.microwave: 0.7807, Acc.pot: 0.3598, Acc.animal: 0.6043, Acc.bicycle: 0.7122, Acc.lake: 0.6285, Acc.dishwasher: 0.7638, Acc.screen: 0.8388, Acc.blanket: 0.1931, Acc.sculpture: 0.7925, Acc.hood: 0.6359, Acc.sconce: 0.4904, Acc.vase: 0.5179, Acc.traffic light: 0.4694, Acc.tray: 0.0930, Acc.ashcan: 0.5276, Acc.fan: 0.6790, Acc.pier: 0.6576, Acc.crt screen: 0.2139, Acc.plate: 0.6712, Acc.monitor: 0.2327, Acc.bulletin board: 0.4705, Acc.shower: 0.0678, Acc.radiator: 0.6808, Acc.glass: 0.1377, Acc.clock: 0.3897, Acc.flag: 0.3717 +2023-03-04 14:34:00,945 - mmseg - INFO - Iter [48050/80000] lr: 9.375e-06, eta: 1:46:05, time: 0.508, data_time: 0.336, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.7873, loss: 0.2001 +2023-03-04 14:34:09,907 - mmseg - INFO - Iter [48100/80000] lr: 9.375e-06, eta: 1:45:55, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.9189, loss: 0.2001 +2023-03-04 14:34:18,910 - mmseg - INFO - Iter [48150/80000] lr: 9.375e-06, eta: 1:45:44, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.9507, loss: 0.1956 +2023-03-04 14:34:28,057 - mmseg - INFO - Iter [48200/80000] lr: 9.375e-06, eta: 1:45:33, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.7546, loss: 0.1967 +2023-03-04 14:34:37,201 - mmseg - INFO - Iter [48250/80000] lr: 9.375e-06, eta: 1:45:23, time: 0.183, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.7982, loss: 0.2011 +2023-03-04 14:34:46,177 - mmseg - INFO - Iter [48300/80000] lr: 9.375e-06, eta: 1:45:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.7806, loss: 0.1988 +2023-03-04 14:34:55,628 - mmseg - INFO - Iter [48350/80000] lr: 9.375e-06, eta: 1:45:02, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.8701, loss: 0.1965 +2023-03-04 14:35:07,072 - mmseg - INFO - Iter [48400/80000] lr: 9.375e-06, eta: 1:44:53, time: 0.229, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2104, decode.acc_seg: 91.4369, loss: 0.2104 +2023-03-04 14:35:16,118 - mmseg - INFO - Iter [48450/80000] lr: 9.375e-06, eta: 1:44:42, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.8182, loss: 0.1975 +2023-03-04 14:35:25,510 - mmseg - INFO - Iter [48500/80000] lr: 9.375e-06, eta: 1:44:32, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9637, loss: 0.1958 +2023-03-04 14:35:34,400 - mmseg - INFO - Iter [48550/80000] lr: 9.375e-06, eta: 1:44:21, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1955, decode.acc_seg: 91.9767, loss: 0.1955 +2023-03-04 14:35:43,740 - mmseg - INFO - Iter [48600/80000] lr: 9.375e-06, eta: 1:44:11, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 91.9347, loss: 0.1940 +2023-03-04 14:35:52,698 - mmseg - INFO - Iter [48650/80000] lr: 9.375e-06, eta: 1:44:00, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1910, decode.acc_seg: 92.1593, loss: 0.1910 +2023-03-04 14:36:01,363 - mmseg - INFO - Iter [48700/80000] lr: 9.375e-06, eta: 1:43:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.8195, loss: 0.1989 +2023-03-04 14:36:10,368 - mmseg - INFO - Iter [48750/80000] lr: 9.375e-06, eta: 1:43:38, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1953, decode.acc_seg: 91.9403, loss: 0.1953 +2023-03-04 14:36:19,376 - mmseg - INFO - Iter [48800/80000] lr: 9.375e-06, eta: 1:43:28, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2041, decode.acc_seg: 91.6522, loss: 0.2041 +2023-03-04 14:36:28,110 - mmseg - INFO - Iter [48850/80000] lr: 9.375e-06, eta: 1:43:17, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 91.9957, loss: 0.1936 +2023-03-04 14:36:37,114 - mmseg - INFO - Iter [48900/80000] lr: 9.375e-06, eta: 1:43:06, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8219, loss: 0.1985 +2023-03-04 14:36:46,287 - mmseg - INFO - Iter [48950/80000] lr: 9.375e-06, eta: 1:42:55, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 92.0031, loss: 0.1978 +2023-03-04 14:36:55,189 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:36:55,189 - mmseg - INFO - Iter [49000/80000] lr: 9.375e-06, eta: 1:42:45, time: 0.178, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.5757, loss: 0.2043 +2023-03-04 14:37:06,589 - mmseg - INFO - Iter [49050/80000] lr: 9.375e-06, eta: 1:42:36, time: 0.228, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.6697, loss: 0.1975 +2023-03-04 14:37:15,449 - mmseg - INFO - Iter [49100/80000] lr: 9.375e-06, eta: 1:42:25, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.7736, loss: 0.1986 +2023-03-04 14:37:24,617 - mmseg - INFO - Iter [49150/80000] lr: 9.375e-06, eta: 1:42:15, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.7090, loss: 0.2007 +2023-03-04 14:37:33,336 - mmseg - INFO - Iter [49200/80000] lr: 9.375e-06, eta: 1:42:04, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 92.0033, loss: 0.1918 +2023-03-04 14:37:42,163 - mmseg - INFO - Iter [49250/80000] lr: 9.375e-06, eta: 1:41:53, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9694, loss: 0.1976 +2023-03-04 14:37:51,102 - mmseg - INFO - Iter [49300/80000] lr: 9.375e-06, eta: 1:41:42, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.6667, loss: 0.1995 +2023-03-04 14:38:00,147 - mmseg - INFO - Iter [49350/80000] lr: 9.375e-06, eta: 1:41:32, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.8787, loss: 0.1996 +2023-03-04 14:38:08,925 - mmseg - INFO - Iter [49400/80000] lr: 9.375e-06, eta: 1:41:21, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.7698, loss: 0.2019 +2023-03-04 14:38:18,242 - mmseg - INFO - Iter [49450/80000] lr: 9.375e-06, eta: 1:41:10, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.7225, loss: 0.2008 +2023-03-04 14:38:27,316 - mmseg - INFO - Iter [49500/80000] lr: 9.375e-06, eta: 1:41:00, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.6334, loss: 0.2009 +2023-03-04 14:38:36,569 - mmseg - INFO - Iter [49550/80000] lr: 9.375e-06, eta: 1:40:49, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9249, loss: 0.1944 +2023-03-04 14:38:45,780 - mmseg - INFO - Iter [49600/80000] lr: 9.375e-06, eta: 1:40:39, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.5308, loss: 0.2066 +2023-03-04 14:38:57,296 - mmseg - INFO - Iter [49650/80000] lr: 9.375e-06, eta: 1:40:30, time: 0.230, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9320, loss: 0.1957 +2023-03-04 14:39:06,246 - mmseg - INFO - Iter [49700/80000] lr: 9.375e-06, eta: 1:40:20, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.0664, loss: 0.1938 +2023-03-04 14:39:15,223 - mmseg - INFO - Iter [49750/80000] lr: 9.375e-06, eta: 1:40:09, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.8096, loss: 0.1997 +2023-03-04 14:39:23,898 - mmseg - INFO - Iter [49800/80000] lr: 9.375e-06, eta: 1:39:58, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 92.1229, loss: 0.1940 +2023-03-04 14:39:32,630 - mmseg - INFO - Iter [49850/80000] lr: 9.375e-06, eta: 1:39:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.5670, loss: 0.2045 +2023-03-04 14:39:42,664 - mmseg - INFO - Iter [49900/80000] lr: 9.375e-06, eta: 1:39:37, time: 0.201, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1916, decode.acc_seg: 92.0146, loss: 0.1916 +2023-03-04 14:39:51,592 - mmseg - INFO - Iter [49950/80000] lr: 9.375e-06, eta: 1:39:27, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.7554, loss: 0.1993 +2023-03-04 14:40:00,532 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:40:00,532 - mmseg - INFO - Iter [50000/80000] lr: 9.375e-06, eta: 1:39:16, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.8689, loss: 0.2013 +2023-03-04 14:40:09,321 - mmseg - INFO - Iter [50050/80000] lr: 4.687e-06, eta: 1:39:05, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9158, loss: 0.1957 +2023-03-04 14:40:18,012 - mmseg - INFO - Iter [50100/80000] lr: 4.687e-06, eta: 1:38:55, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.9011, loss: 0.1975 +2023-03-04 14:40:26,813 - mmseg - INFO - Iter [50150/80000] lr: 4.687e-06, eta: 1:38:44, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1974, decode.acc_seg: 91.8008, loss: 0.1974 +2023-03-04 14:40:36,480 - mmseg - INFO - Iter [50200/80000] lr: 4.687e-06, eta: 1:38:34, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7648, loss: 0.2021 +2023-03-04 14:40:45,410 - mmseg - INFO - Iter [50250/80000] lr: 4.687e-06, eta: 1:38:23, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.8636, loss: 0.1988 +2023-03-04 14:40:56,595 - mmseg - INFO - Iter [50300/80000] lr: 4.687e-06, eta: 1:38:14, time: 0.224, data_time: 0.057, memory: 52403, decode.loss_ce: 0.1881, decode.acc_seg: 92.1759, loss: 0.1881 +2023-03-04 14:41:05,514 - mmseg - INFO - Iter [50350/80000] lr: 4.687e-06, eta: 1:38:04, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8733, loss: 0.1985 +2023-03-04 14:41:14,574 - mmseg - INFO - Iter [50400/80000] lr: 4.687e-06, eta: 1:37:53, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1934, decode.acc_seg: 92.1354, loss: 0.1934 +2023-03-04 14:41:23,613 - mmseg - INFO - Iter [50450/80000] lr: 4.687e-06, eta: 1:37:42, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.6813, loss: 0.2019 +2023-03-04 14:41:32,254 - mmseg - INFO - Iter [50500/80000] lr: 4.687e-06, eta: 1:37:32, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.8837, loss: 0.1963 +2023-03-04 14:41:41,191 - mmseg - INFO - Iter [50550/80000] lr: 4.687e-06, eta: 1:37:21, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.7514, loss: 0.2005 +2023-03-04 14:41:50,264 - mmseg - INFO - Iter [50600/80000] lr: 4.687e-06, eta: 1:37:11, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.5949, loss: 0.2010 +2023-03-04 14:41:59,234 - mmseg - INFO - Iter [50650/80000] lr: 4.687e-06, eta: 1:37:00, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1906, decode.acc_seg: 92.0871, loss: 0.1906 +2023-03-04 14:42:07,889 - mmseg - INFO - Iter [50700/80000] lr: 4.687e-06, eta: 1:36:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1907, decode.acc_seg: 92.1353, loss: 0.1907 +2023-03-04 14:42:16,865 - mmseg - INFO - Iter [50750/80000] lr: 4.687e-06, eta: 1:36:39, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1903, decode.acc_seg: 92.1339, loss: 0.1903 +2023-03-04 14:42:26,178 - mmseg - INFO - Iter [50800/80000] lr: 4.687e-06, eta: 1:36:28, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8415, loss: 0.1986 +2023-03-04 14:42:34,899 - mmseg - INFO - Iter [50850/80000] lr: 4.687e-06, eta: 1:36:18, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9218, loss: 0.1972 +2023-03-04 14:42:44,327 - mmseg - INFO - Iter [50900/80000] lr: 4.687e-06, eta: 1:36:07, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.7207, loss: 0.1986 +2023-03-04 14:42:55,945 - mmseg - INFO - Iter [50950/80000] lr: 4.687e-06, eta: 1:35:59, time: 0.232, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7802, loss: 0.2021 +2023-03-04 14:43:04,639 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:43:04,639 - mmseg - INFO - Iter [51000/80000] lr: 4.687e-06, eta: 1:35:48, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 92.1202, loss: 0.1919 +2023-03-04 14:43:13,935 - mmseg - INFO - Iter [51050/80000] lr: 4.687e-06, eta: 1:35:38, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1911, decode.acc_seg: 92.1328, loss: 0.1911 +2023-03-04 14:43:23,199 - mmseg - INFO - Iter [51100/80000] lr: 4.687e-06, eta: 1:35:27, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.7667, loss: 0.2007 +2023-03-04 14:43:32,030 - mmseg - INFO - Iter [51150/80000] lr: 4.687e-06, eta: 1:35:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8148, loss: 0.1985 +2023-03-04 14:43:40,944 - mmseg - INFO - Iter [51200/80000] lr: 4.687e-06, eta: 1:35:06, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1874, decode.acc_seg: 92.2585, loss: 0.1874 +2023-03-04 14:43:50,031 - mmseg - INFO - Iter [51250/80000] lr: 4.687e-06, eta: 1:34:56, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.9283, loss: 0.2000 +2023-03-04 14:43:59,057 - mmseg - INFO - Iter [51300/80000] lr: 4.687e-06, eta: 1:34:45, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1973, decode.acc_seg: 91.6680, loss: 0.1973 +2023-03-04 14:44:07,738 - mmseg - INFO - Iter [51350/80000] lr: 4.687e-06, eta: 1:34:34, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1935, decode.acc_seg: 91.9566, loss: 0.1935 +2023-03-04 14:44:16,383 - mmseg - INFO - Iter [51400/80000] lr: 4.687e-06, eta: 1:34:24, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 92.1081, loss: 0.1946 +2023-03-04 14:44:25,451 - mmseg - INFO - Iter [51450/80000] lr: 4.687e-06, eta: 1:34:13, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.0601, loss: 0.1929 +2023-03-04 14:44:34,713 - mmseg - INFO - Iter [51500/80000] lr: 4.687e-06, eta: 1:34:03, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.9944, loss: 0.1951 +2023-03-04 14:44:45,962 - mmseg - INFO - Iter [51550/80000] lr: 4.687e-06, eta: 1:33:54, time: 0.225, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9660, loss: 0.1981 +2023-03-04 14:44:55,000 - mmseg - INFO - Iter [51600/80000] lr: 4.687e-06, eta: 1:33:43, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.8185, loss: 0.2001 +2023-03-04 14:45:03,787 - mmseg - INFO - Iter [51650/80000] lr: 4.687e-06, eta: 1:33:33, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9912, loss: 0.1944 +2023-03-04 14:45:13,135 - mmseg - INFO - Iter [51700/80000] lr: 4.687e-06, eta: 1:33:22, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.7945, loss: 0.1968 +2023-03-04 14:45:22,126 - mmseg - INFO - Iter [51750/80000] lr: 4.687e-06, eta: 1:33:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1885, decode.acc_seg: 92.2409, loss: 0.1885 +2023-03-04 14:45:31,426 - mmseg - INFO - Iter [51800/80000] lr: 4.687e-06, eta: 1:33:02, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.4487, loss: 0.2052 +2023-03-04 14:45:40,696 - mmseg - INFO - Iter [51850/80000] lr: 4.687e-06, eta: 1:32:51, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.6025, loss: 0.2031 +2023-03-04 14:45:49,517 - mmseg - INFO - Iter [51900/80000] lr: 4.687e-06, eta: 1:32:41, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0628, loss: 0.1926 +2023-03-04 14:45:58,244 - mmseg - INFO - Iter [51950/80000] lr: 4.687e-06, eta: 1:32:30, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1923, decode.acc_seg: 91.9587, loss: 0.1923 +2023-03-04 14:46:07,153 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:46:07,154 - mmseg - INFO - Iter [52000/80000] lr: 4.687e-06, eta: 1:32:20, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.9293, loss: 0.1951 +2023-03-04 14:46:16,310 - mmseg - INFO - Iter [52050/80000] lr: 4.687e-06, eta: 1:32:09, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2019, decode.acc_seg: 91.7997, loss: 0.2019 +2023-03-04 14:46:25,549 - mmseg - INFO - Iter [52100/80000] lr: 4.687e-06, eta: 1:31:59, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2051, decode.acc_seg: 91.7394, loss: 0.2051 +2023-03-04 14:46:34,439 - mmseg - INFO - Iter [52150/80000] lr: 4.687e-06, eta: 1:31:48, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6885, loss: 0.2026 +2023-03-04 14:46:46,031 - mmseg - INFO - Iter [52200/80000] lr: 4.687e-06, eta: 1:31:40, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.9530, loss: 0.2007 +2023-03-04 14:46:54,798 - mmseg - INFO - Iter [52250/80000] lr: 4.687e-06, eta: 1:31:29, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.9682, loss: 0.1978 +2023-03-04 14:47:03,386 - mmseg - INFO - Iter [52300/80000] lr: 4.687e-06, eta: 1:31:18, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.7984, loss: 0.2005 +2023-03-04 14:47:12,305 - mmseg - INFO - Iter [52350/80000] lr: 4.687e-06, eta: 1:31:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.6937, loss: 0.2024 +2023-03-04 14:47:21,160 - mmseg - INFO - Iter [52400/80000] lr: 4.687e-06, eta: 1:30:57, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.6521, loss: 0.2076 +2023-03-04 14:47:29,838 - mmseg - INFO - Iter [52450/80000] lr: 4.687e-06, eta: 1:30:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.8170, loss: 0.1997 +2023-03-04 14:47:39,075 - mmseg - INFO - Iter [52500/80000] lr: 4.687e-06, eta: 1:30:36, time: 0.185, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.7959, loss: 0.1992 +2023-03-04 14:47:47,825 - mmseg - INFO - Iter [52550/80000] lr: 4.687e-06, eta: 1:30:26, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1899, decode.acc_seg: 92.2106, loss: 0.1899 +2023-03-04 14:47:56,627 - mmseg - INFO - Iter [52600/80000] lr: 4.687e-06, eta: 1:30:15, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.7382, loss: 0.2024 +2023-03-04 14:48:05,836 - mmseg - INFO - Iter [52650/80000] lr: 4.687e-06, eta: 1:30:05, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1910, decode.acc_seg: 92.0414, loss: 0.1910 +2023-03-04 14:48:14,882 - mmseg - INFO - Iter [52700/80000] lr: 4.687e-06, eta: 1:29:55, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6881, loss: 0.2025 +2023-03-04 14:48:23,950 - mmseg - INFO - Iter [52750/80000] lr: 4.687e-06, eta: 1:29:44, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.9592, loss: 0.1959 +2023-03-04 14:48:32,884 - mmseg - INFO - Iter [52800/80000] lr: 4.687e-06, eta: 1:29:34, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.6906, loss: 0.2012 +2023-03-04 14:48:44,277 - mmseg - INFO - Iter [52850/80000] lr: 4.687e-06, eta: 1:29:25, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2086, decode.acc_seg: 91.5259, loss: 0.2086 +2023-03-04 14:48:53,954 - mmseg - INFO - Iter [52900/80000] lr: 4.687e-06, eta: 1:29:15, time: 0.194, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.7036, loss: 0.2018 +2023-03-04 14:49:03,027 - mmseg - INFO - Iter [52950/80000] lr: 4.687e-06, eta: 1:29:04, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 91.9923, loss: 0.1938 +2023-03-04 14:49:12,115 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:49:12,115 - mmseg - INFO - Iter [53000/80000] lr: 4.687e-06, eta: 1:28:54, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 92.1760, loss: 0.1919 +2023-03-04 14:49:20,980 - mmseg - INFO - Iter [53050/80000] lr: 4.687e-06, eta: 1:28:44, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.7526, loss: 0.2009 +2023-03-04 14:49:30,359 - mmseg - INFO - Iter [53100/80000] lr: 4.687e-06, eta: 1:28:33, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.9184, loss: 0.2000 +2023-03-04 14:49:39,526 - mmseg - INFO - Iter [53150/80000] lr: 4.687e-06, eta: 1:28:23, time: 0.184, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.7232, loss: 0.2022 +2023-03-04 14:49:48,472 - mmseg - INFO - Iter [53200/80000] lr: 4.687e-06, eta: 1:28:13, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9413, loss: 0.1941 +2023-03-04 14:49:57,433 - mmseg - INFO - Iter [53250/80000] lr: 4.687e-06, eta: 1:28:02, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.8014, loss: 0.1964 +2023-03-04 14:50:06,409 - mmseg - INFO - Iter [53300/80000] lr: 4.687e-06, eta: 1:27:52, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.8480, loss: 0.1995 +2023-03-04 14:50:15,864 - mmseg - INFO - Iter [53350/80000] lr: 4.687e-06, eta: 1:27:42, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 92.2035, loss: 0.1930 +2023-03-04 14:50:24,792 - mmseg - INFO - Iter [53400/80000] lr: 4.687e-06, eta: 1:27:31, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1908, decode.acc_seg: 92.0351, loss: 0.1908 +2023-03-04 14:50:36,128 - mmseg - INFO - Iter [53450/80000] lr: 4.687e-06, eta: 1:27:22, time: 0.227, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 92.1434, loss: 0.1959 +2023-03-04 14:50:44,770 - mmseg - INFO - Iter [53500/80000] lr: 4.687e-06, eta: 1:27:12, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.9007, loss: 0.1961 +2023-03-04 14:50:54,362 - mmseg - INFO - Iter [53550/80000] lr: 4.687e-06, eta: 1:27:02, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9859, loss: 0.1954 +2023-03-04 14:51:02,991 - mmseg - INFO - Iter [53600/80000] lr: 4.687e-06, eta: 1:26:51, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9582, loss: 0.1981 +2023-03-04 14:51:12,030 - mmseg - INFO - Iter [53650/80000] lr: 4.687e-06, eta: 1:26:41, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.7597, loss: 0.2030 +2023-03-04 14:51:20,697 - mmseg - INFO - Iter [53700/80000] lr: 4.687e-06, eta: 1:26:30, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1893, decode.acc_seg: 92.0707, loss: 0.1893 +2023-03-04 14:51:29,389 - mmseg - INFO - Iter [53750/80000] lr: 4.687e-06, eta: 1:26:20, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.9079, loss: 0.1952 +2023-03-04 14:51:38,318 - mmseg - INFO - Iter [53800/80000] lr: 4.687e-06, eta: 1:26:09, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2076, decode.acc_seg: 91.5192, loss: 0.2076 +2023-03-04 14:51:47,095 - mmseg - INFO - Iter [53850/80000] lr: 4.687e-06, eta: 1:25:59, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7202, loss: 0.2020 +2023-03-04 14:51:56,367 - mmseg - INFO - Iter [53900/80000] lr: 4.687e-06, eta: 1:25:49, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.6130, loss: 0.1980 +2023-03-04 14:52:05,032 - mmseg - INFO - Iter [53950/80000] lr: 4.687e-06, eta: 1:25:38, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.7228, loss: 0.2017 +2023-03-04 14:52:14,238 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:52:14,238 - mmseg - INFO - Iter [54000/80000] lr: 4.687e-06, eta: 1:25:28, time: 0.184, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.8484, loss: 0.1991 +2023-03-04 14:52:22,996 - mmseg - INFO - Iter [54050/80000] lr: 4.687e-06, eta: 1:25:17, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6326, loss: 0.2028 +2023-03-04 14:52:34,447 - mmseg - INFO - Iter [54100/80000] lr: 4.687e-06, eta: 1:25:08, time: 0.229, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.6356, loss: 0.2050 +2023-03-04 14:52:43,443 - mmseg - INFO - Iter [54150/80000] lr: 4.687e-06, eta: 1:24:58, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6071, loss: 0.2061 +2023-03-04 14:52:52,913 - mmseg - INFO - Iter [54200/80000] lr: 4.687e-06, eta: 1:24:48, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.6480, loss: 0.1996 +2023-03-04 14:53:01,786 - mmseg - INFO - Iter [54250/80000] lr: 4.687e-06, eta: 1:24:37, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1878, decode.acc_seg: 92.2403, loss: 0.1878 +2023-03-04 14:53:10,475 - mmseg - INFO - Iter [54300/80000] lr: 4.687e-06, eta: 1:24:27, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.8910, loss: 0.1980 +2023-03-04 14:53:19,223 - mmseg - INFO - Iter [54350/80000] lr: 4.687e-06, eta: 1:24:16, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.9880, loss: 0.1949 +2023-03-04 14:53:28,220 - mmseg - INFO - Iter [54400/80000] lr: 4.687e-06, eta: 1:24:06, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.6940, loss: 0.2017 +2023-03-04 14:53:37,382 - mmseg - INFO - Iter [54450/80000] lr: 4.687e-06, eta: 1:23:56, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.9125, loss: 0.1964 +2023-03-04 14:53:46,118 - mmseg - INFO - Iter [54500/80000] lr: 4.687e-06, eta: 1:23:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2052, decode.acc_seg: 91.6747, loss: 0.2052 +2023-03-04 14:53:54,970 - mmseg - INFO - Iter [54550/80000] lr: 4.687e-06, eta: 1:23:35, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.0944, loss: 0.1917 +2023-03-04 14:54:03,891 - mmseg - INFO - Iter [54600/80000] lr: 4.687e-06, eta: 1:23:25, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 92.1318, loss: 0.1925 +2023-03-04 14:54:13,138 - mmseg - INFO - Iter [54650/80000] lr: 4.687e-06, eta: 1:23:14, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.6410, loss: 0.1995 +2023-03-04 14:54:24,549 - mmseg - INFO - Iter [54700/80000] lr: 4.687e-06, eta: 1:23:05, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.8139, loss: 0.1993 +2023-03-04 14:54:33,273 - mmseg - INFO - Iter [54750/80000] lr: 4.687e-06, eta: 1:22:55, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1861, decode.acc_seg: 92.2361, loss: 0.1861 +2023-03-04 14:54:42,565 - mmseg - INFO - Iter [54800/80000] lr: 4.687e-06, eta: 1:22:45, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7409, loss: 0.2015 +2023-03-04 14:54:51,185 - mmseg - INFO - Iter [54850/80000] lr: 4.687e-06, eta: 1:22:34, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2079, decode.acc_seg: 91.4775, loss: 0.2079 +2023-03-04 14:55:00,156 - mmseg - INFO - Iter [54900/80000] lr: 4.687e-06, eta: 1:22:24, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6505, loss: 0.2026 +2023-03-04 14:55:09,159 - mmseg - INFO - Iter [54950/80000] lr: 4.687e-06, eta: 1:22:14, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.9411, loss: 0.1952 +2023-03-04 14:55:18,832 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:55:18,832 - mmseg - INFO - Iter [55000/80000] lr: 4.687e-06, eta: 1:22:04, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1955, decode.acc_seg: 91.9257, loss: 0.1955 +2023-03-04 14:55:27,953 - mmseg - INFO - Iter [55050/80000] lr: 4.687e-06, eta: 1:21:54, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.9451, loss: 0.1963 +2023-03-04 14:55:36,726 - mmseg - INFO - Iter [55100/80000] lr: 4.687e-06, eta: 1:21:43, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.7414, loss: 0.2031 +2023-03-04 14:55:45,689 - mmseg - INFO - Iter [55150/80000] lr: 4.687e-06, eta: 1:21:33, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1923, decode.acc_seg: 92.0457, loss: 0.1923 +2023-03-04 14:55:54,349 - mmseg - INFO - Iter [55200/80000] lr: 4.687e-06, eta: 1:21:22, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2041, decode.acc_seg: 91.6720, loss: 0.2041 +2023-03-04 14:56:03,071 - mmseg - INFO - Iter [55250/80000] lr: 4.687e-06, eta: 1:21:12, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 92.0812, loss: 0.1925 +2023-03-04 14:56:12,286 - mmseg - INFO - Iter [55300/80000] lr: 4.687e-06, eta: 1:21:02, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.8541, loss: 0.1978 +2023-03-04 14:56:23,528 - mmseg - INFO - Iter [55350/80000] lr: 4.687e-06, eta: 1:20:53, time: 0.225, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.7193, loss: 0.2010 +2023-03-04 14:56:32,511 - mmseg - INFO - Iter [55400/80000] lr: 4.687e-06, eta: 1:20:42, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 92.0240, loss: 0.1942 +2023-03-04 14:56:41,290 - mmseg - INFO - Iter [55450/80000] lr: 4.687e-06, eta: 1:20:32, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.9944, loss: 0.1962 +2023-03-04 14:56:50,757 - mmseg - INFO - Iter [55500/80000] lr: 4.687e-06, eta: 1:20:22, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.8312, loss: 0.1979 +2023-03-04 14:56:59,669 - mmseg - INFO - Iter [55550/80000] lr: 4.687e-06, eta: 1:20:12, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.6275, loss: 0.2011 +2023-03-04 14:57:08,936 - mmseg - INFO - Iter [55600/80000] lr: 4.687e-06, eta: 1:20:01, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9033, loss: 0.1957 +2023-03-04 14:57:17,973 - mmseg - INFO - Iter [55650/80000] lr: 4.687e-06, eta: 1:19:51, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.8723, loss: 0.2010 +2023-03-04 14:57:26,692 - mmseg - INFO - Iter [55700/80000] lr: 4.687e-06, eta: 1:19:41, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.7333, loss: 0.2016 +2023-03-04 14:57:35,583 - mmseg - INFO - Iter [55750/80000] lr: 4.687e-06, eta: 1:19:30, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.8016, loss: 0.1957 +2023-03-04 14:57:44,377 - mmseg - INFO - Iter [55800/80000] lr: 4.687e-06, eta: 1:19:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.9522, loss: 0.1951 +2023-03-04 14:57:53,235 - mmseg - INFO - Iter [55850/80000] lr: 4.687e-06, eta: 1:19:10, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1973, decode.acc_seg: 91.9762, loss: 0.1973 +2023-03-04 14:58:02,766 - mmseg - INFO - Iter [55900/80000] lr: 4.687e-06, eta: 1:19:00, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1877, decode.acc_seg: 92.2946, loss: 0.1877 +2023-03-04 14:58:11,402 - mmseg - INFO - Iter [55950/80000] lr: 4.687e-06, eta: 1:18:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.6170, loss: 0.2016 +2023-03-04 14:58:22,720 - mmseg - INFO - Saving checkpoint at 56000 iterations +2023-03-04 14:58:23,355 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:58:23,355 - mmseg - INFO - Iter [56000/80000] lr: 4.687e-06, eta: 1:18:41, time: 0.239, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1913, decode.acc_seg: 92.1680, loss: 0.1913 +2023-03-04 14:58:39,149 - mmseg - INFO - per class results: +2023-03-04 14:58:39,155 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.21 | 88.98 | +| building | 81.45 | 91.84 | +| sky | 94.37 | 97.09 | +| floor | 81.2 | 91.23 | +| tree | 73.72 | 88.27 | +| ceiling | 84.91 | 93.27 | +| road | 81.69 | 90.13 | +| bed | 87.31 | 95.18 | +| windowpane | 60.16 | 77.91 | +| grass | 67.02 | 82.97 | +| cabinet | 59.82 | 73.23 | +| sidewalk | 63.78 | 79.49 | +| person | 78.84 | 92.32 | +| earth | 35.54 | 48.82 | +| door | 45.12 | 58.26 | +| table | 59.87 | 75.67 | +| mountain | 57.81 | 72.15 | +| plant | 49.39 | 60.9 | +| curtain | 73.72 | 83.84 | +| chair | 55.86 | 68.88 | +| car | 80.68 | 92.41 | +| water | 57.66 | 75.73 | +| painting | 70.59 | 84.12 | +| sofa | 62.53 | 82.33 | +| shelf | 43.07 | 61.12 | +| house | 42.52 | 57.62 | +| sea | 60.35 | 76.54 | +| mirror | 65.29 | 73.96 | +| rug | 65.13 | 73.9 | +| field | 30.68 | 45.68 | +| armchair | 36.45 | 52.31 | +| seat | 65.87 | 82.38 | +| fence | 40.65 | 54.49 | +| desk | 45.73 | 66.66 | +| rock | 37.07 | 61.06 | +| wardrobe | 55.98 | 67.27 | +| lamp | 60.0 | 74.1 | +| bathtub | 73.62 | 80.65 | +| railing | 33.27 | 46.34 | +| cushion | 55.5 | 68.76 | +| base | 20.4 | 24.89 | +| box | 23.93 | 32.83 | +| column | 44.86 | 55.23 | +| signboard | 37.34 | 50.26 | +| chest of drawers | 36.11 | 55.7 | +| counter | 30.56 | 40.02 | +| sand | 42.85 | 59.12 | +| sink | 66.86 | 78.36 | +| skyscraper | 50.57 | 63.88 | +| fireplace | 72.79 | 85.3 | +| refrigerator | 74.02 | 85.2 | +| grandstand | 52.67 | 65.98 | +| path | 21.71 | 29.08 | +| stairs | 33.21 | 42.24 | +| runway | 67.0 | 86.0 | +| case | 47.69 | 58.49 | +| pool table | 91.34 | 94.21 | +| pillow | 59.97 | 69.74 | +| screen door | 66.94 | 71.97 | +| stairway | 23.78 | 35.03 | +| river | 11.88 | 22.06 | +| bridge | 32.53 | 37.08 | +| bookcase | 44.49 | 62.91 | +| blind | 38.65 | 43.88 | +| coffee table | 52.87 | 76.77 | +| toilet | 83.48 | 89.2 | +| flower | 38.05 | 52.3 | +| book | 43.64 | 66.44 | +| hill | 15.07 | 22.45 | +| bench | 41.97 | 54.64 | +| countertop | 52.96 | 69.86 | +| stove | 69.72 | 81.1 | +| palm | 48.01 | 68.24 | +| kitchen island | 38.69 | 58.14 | +| computer | 59.9 | 68.67 | +| swivel chair | 44.56 | 60.19 | +| boat | 68.75 | 84.27 | +| bar | 23.66 | 32.07 | +| arcade machine | 71.63 | 74.51 | +| hovel | 33.59 | 37.81 | +| bus | 78.72 | 90.22 | +| towel | 62.83 | 72.87 | +| light | 52.53 | 58.75 | +| truck | 17.84 | 23.66 | +| tower | 7.49 | 11.98 | +| chandelier | 63.26 | 78.18 | +| awning | 23.13 | 26.48 | +| streetlight | 25.35 | 33.87 | +| booth | 40.15 | 41.29 | +| television receiver | 63.78 | 76.63 | +| airplane | 59.38 | 65.6 | +| dirt track | 19.68 | 49.91 | +| apparel | 33.36 | 54.52 | +| pole | 15.3 | 19.63 | +| land | 4.5 | 6.55 | +| bannister | 10.42 | 14.16 | +| escalator | 22.64 | 23.72 | +| ottoman | 41.96 | 59.96 | +| bottle | 35.95 | 58.34 | +| buffet | 36.24 | 42.09 | +| poster | 23.64 | 33.81 | +| stage | 13.09 | 16.77 | +| van | 38.13 | 52.38 | +| ship | 76.33 | 90.64 | +| fountain | 21.15 | 21.52 | +| conveyer belt | 84.79 | 89.7 | +| canopy | 22.33 | 23.77 | +| washer | 77.24 | 78.08 | +| plaything | 20.27 | 27.58 | +| swimming pool | 71.98 | 78.91 | +| stool | 42.91 | 57.73 | +| barrel | 45.59 | 55.84 | +| basket | 25.29 | 37.0 | +| waterfall | 48.2 | 63.97 | +| tent | 94.45 | 97.56 | +| bag | 14.61 | 18.31 | +| minibike | 61.12 | 71.81 | +| cradle | 84.27 | 95.31 | +| oven | 46.01 | 64.49 | +| ball | 41.59 | 46.92 | +| food | 51.99 | 61.47 | +| step | 3.64 | 3.84 | +| tank | 48.88 | 53.95 | +| trade name | 27.36 | 29.89 | +| microwave | 74.32 | 80.34 | +| pot | 30.69 | 35.0 | +| animal | 52.95 | 60.49 | +| bicycle | 53.23 | 71.56 | +| lake | 57.42 | 62.87 | +| dishwasher | 67.01 | 76.54 | +| screen | 67.11 | 78.42 | +| blanket | 17.65 | 20.43 | +| sculpture | 56.38 | 78.01 | +| hood | 57.45 | 63.6 | +| sconce | 40.37 | 47.56 | +| vase | 36.72 | 50.0 | +| traffic light | 32.14 | 47.58 | +| tray | 6.18 | 9.27 | +| ashcan | 41.88 | 53.0 | +| fan | 57.88 | 69.22 | +| pier | 37.66 | 47.42 | +| crt screen | 8.94 | 23.58 | +| plate | 50.61 | 66.35 | +| monitor | 18.19 | 21.32 | +| bulletin board | 39.2 | 52.4 | +| shower | 1.37 | 5.79 | +| radiator | 60.03 | 66.84 | +| glass | 12.5 | 13.86 | +| clock | 33.95 | 37.25 | +| flag | 34.3 | 38.0 | ++---------------------+-------+-------+ +2023-03-04 14:58:39,155 - mmseg - INFO - Summary: +2023-03-04 14:58:39,155 - mmseg - INFO - ++-------+-------+------+ +| aAcc | mIoU | mAcc | ++-------+-------+------+ +| 82.55 | 47.84 | 58.6 | ++-------+-------+------+ +2023-03-04 14:58:39,156 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 14:58:39,156 - mmseg - INFO - Iter(val) [250] aAcc: 0.8255, mIoU: 0.4784, mAcc: 0.5860, IoU.background: nan, IoU.wall: 0.7721, IoU.building: 0.8145, IoU.sky: 0.9437, IoU.floor: 0.8120, IoU.tree: 0.7372, IoU.ceiling: 0.8491, IoU.road: 0.8169, IoU.bed : 0.8731, IoU.windowpane: 0.6016, IoU.grass: 0.6702, IoU.cabinet: 0.5982, IoU.sidewalk: 0.6378, IoU.person: 0.7884, IoU.earth: 0.3554, IoU.door: 0.4512, IoU.table: 0.5987, IoU.mountain: 0.5781, IoU.plant: 0.4939, IoU.curtain: 0.7372, IoU.chair: 0.5586, IoU.car: 0.8068, IoU.water: 0.5766, IoU.painting: 0.7059, IoU.sofa: 0.6253, IoU.shelf: 0.4307, IoU.house: 0.4252, IoU.sea: 0.6035, IoU.mirror: 0.6529, IoU.rug: 0.6513, IoU.field: 0.3068, IoU.armchair: 0.3645, IoU.seat: 0.6587, IoU.fence: 0.4065, IoU.desk: 0.4573, IoU.rock: 0.3707, IoU.wardrobe: 0.5598, IoU.lamp: 0.6000, IoU.bathtub: 0.7362, IoU.railing: 0.3327, IoU.cushion: 0.5550, IoU.base: 0.2040, IoU.box: 0.2393, IoU.column: 0.4486, IoU.signboard: 0.3734, IoU.chest of drawers: 0.3611, IoU.counter: 0.3056, IoU.sand: 0.4285, IoU.sink: 0.6686, IoU.skyscraper: 0.5057, IoU.fireplace: 0.7279, IoU.refrigerator: 0.7402, IoU.grandstand: 0.5267, IoU.path: 0.2171, IoU.stairs: 0.3321, IoU.runway: 0.6700, IoU.case: 0.4769, IoU.pool table: 0.9134, IoU.pillow: 0.5997, IoU.screen door: 0.6694, IoU.stairway: 0.2378, IoU.river: 0.1188, IoU.bridge: 0.3253, IoU.bookcase: 0.4449, IoU.blind: 0.3865, IoU.coffee table: 0.5287, IoU.toilet: 0.8348, IoU.flower: 0.3805, IoU.book: 0.4364, IoU.hill: 0.1507, IoU.bench: 0.4197, IoU.countertop: 0.5296, IoU.stove: 0.6972, IoU.palm: 0.4801, IoU.kitchen island: 0.3869, IoU.computer: 0.5990, IoU.swivel chair: 0.4456, IoU.boat: 0.6875, IoU.bar: 0.2366, IoU.arcade machine: 0.7163, IoU.hovel: 0.3359, IoU.bus: 0.7872, IoU.towel: 0.6283, IoU.light: 0.5253, IoU.truck: 0.1784, IoU.tower: 0.0749, IoU.chandelier: 0.6326, IoU.awning: 0.2313, IoU.streetlight: 0.2535, IoU.booth: 0.4015, IoU.television receiver: 0.6378, IoU.airplane: 0.5938, IoU.dirt track: 0.1968, IoU.apparel: 0.3336, IoU.pole: 0.1530, IoU.land: 0.0450, IoU.bannister: 0.1042, IoU.escalator: 0.2264, IoU.ottoman: 0.4196, IoU.bottle: 0.3595, IoU.buffet: 0.3624, IoU.poster: 0.2364, IoU.stage: 0.1309, IoU.van: 0.3813, IoU.ship: 0.7633, IoU.fountain: 0.2115, IoU.conveyer belt: 0.8479, IoU.canopy: 0.2233, IoU.washer: 0.7724, IoU.plaything: 0.2027, IoU.swimming pool: 0.7198, IoU.stool: 0.4291, IoU.barrel: 0.4559, IoU.basket: 0.2529, IoU.waterfall: 0.4820, IoU.tent: 0.9445, IoU.bag: 0.1461, IoU.minibike: 0.6112, IoU.cradle: 0.8427, IoU.oven: 0.4601, IoU.ball: 0.4159, IoU.food: 0.5199, IoU.step: 0.0364, IoU.tank: 0.4888, IoU.trade name: 0.2736, IoU.microwave: 0.7432, IoU.pot: 0.3069, IoU.animal: 0.5295, IoU.bicycle: 0.5323, IoU.lake: 0.5742, IoU.dishwasher: 0.6701, IoU.screen: 0.6711, IoU.blanket: 0.1765, IoU.sculpture: 0.5638, IoU.hood: 0.5745, IoU.sconce: 0.4037, IoU.vase: 0.3672, IoU.traffic light: 0.3214, IoU.tray: 0.0618, IoU.ashcan: 0.4188, IoU.fan: 0.5788, IoU.pier: 0.3766, IoU.crt screen: 0.0894, IoU.plate: 0.5061, IoU.monitor: 0.1819, IoU.bulletin board: 0.3920, IoU.shower: 0.0137, IoU.radiator: 0.6003, IoU.glass: 0.1250, IoU.clock: 0.3395, IoU.flag: 0.3430, Acc.background: nan, Acc.wall: 0.8898, Acc.building: 0.9184, Acc.sky: 0.9709, Acc.floor: 0.9123, Acc.tree: 0.8827, Acc.ceiling: 0.9327, Acc.road: 0.9013, Acc.bed : 0.9518, Acc.windowpane: 0.7791, Acc.grass: 0.8297, Acc.cabinet: 0.7323, Acc.sidewalk: 0.7949, Acc.person: 0.9232, Acc.earth: 0.4882, Acc.door: 0.5826, Acc.table: 0.7567, Acc.mountain: 0.7215, Acc.plant: 0.6090, Acc.curtain: 0.8384, Acc.chair: 0.6888, Acc.car: 0.9241, Acc.water: 0.7573, Acc.painting: 0.8412, Acc.sofa: 0.8233, Acc.shelf: 0.6112, Acc.house: 0.5762, Acc.sea: 0.7654, Acc.mirror: 0.7396, Acc.rug: 0.7390, Acc.field: 0.4568, Acc.armchair: 0.5231, Acc.seat: 0.8238, Acc.fence: 0.5449, Acc.desk: 0.6666, Acc.rock: 0.6106, Acc.wardrobe: 0.6727, Acc.lamp: 0.7410, Acc.bathtub: 0.8065, Acc.railing: 0.4634, Acc.cushion: 0.6876, Acc.base: 0.2489, Acc.box: 0.3283, Acc.column: 0.5523, Acc.signboard: 0.5026, Acc.chest of drawers: 0.5570, Acc.counter: 0.4002, Acc.sand: 0.5912, Acc.sink: 0.7836, Acc.skyscraper: 0.6388, Acc.fireplace: 0.8530, Acc.refrigerator: 0.8520, Acc.grandstand: 0.6598, Acc.path: 0.2908, Acc.stairs: 0.4224, Acc.runway: 0.8600, Acc.case: 0.5849, Acc.pool table: 0.9421, Acc.pillow: 0.6974, Acc.screen door: 0.7197, Acc.stairway: 0.3503, Acc.river: 0.2206, Acc.bridge: 0.3708, Acc.bookcase: 0.6291, Acc.blind: 0.4388, Acc.coffee table: 0.7677, Acc.toilet: 0.8920, Acc.flower: 0.5230, Acc.book: 0.6644, Acc.hill: 0.2245, Acc.bench: 0.5464, Acc.countertop: 0.6986, Acc.stove: 0.8110, Acc.palm: 0.6824, Acc.kitchen island: 0.5814, Acc.computer: 0.6867, Acc.swivel chair: 0.6019, Acc.boat: 0.8427, Acc.bar: 0.3207, Acc.arcade machine: 0.7451, Acc.hovel: 0.3781, Acc.bus: 0.9022, Acc.towel: 0.7287, Acc.light: 0.5875, Acc.truck: 0.2366, Acc.tower: 0.1198, Acc.chandelier: 0.7818, Acc.awning: 0.2648, Acc.streetlight: 0.3387, Acc.booth: 0.4129, Acc.television receiver: 0.7663, Acc.airplane: 0.6560, Acc.dirt track: 0.4991, Acc.apparel: 0.5452, Acc.pole: 0.1963, Acc.land: 0.0655, Acc.bannister: 0.1416, Acc.escalator: 0.2372, Acc.ottoman: 0.5996, Acc.bottle: 0.5834, Acc.buffet: 0.4209, Acc.poster: 0.3381, Acc.stage: 0.1677, Acc.van: 0.5238, Acc.ship: 0.9064, Acc.fountain: 0.2152, Acc.conveyer belt: 0.8970, Acc.canopy: 0.2377, Acc.washer: 0.7808, Acc.plaything: 0.2758, Acc.swimming pool: 0.7891, Acc.stool: 0.5773, Acc.barrel: 0.5584, Acc.basket: 0.3700, Acc.waterfall: 0.6397, Acc.tent: 0.9756, Acc.bag: 0.1831, Acc.minibike: 0.7181, Acc.cradle: 0.9531, Acc.oven: 0.6449, Acc.ball: 0.4692, Acc.food: 0.6147, Acc.step: 0.0384, Acc.tank: 0.5395, Acc.trade name: 0.2989, Acc.microwave: 0.8034, Acc.pot: 0.3500, Acc.animal: 0.6049, Acc.bicycle: 0.7156, Acc.lake: 0.6287, Acc.dishwasher: 0.7654, Acc.screen: 0.7842, Acc.blanket: 0.2043, Acc.sculpture: 0.7801, Acc.hood: 0.6360, Acc.sconce: 0.4756, Acc.vase: 0.5000, Acc.traffic light: 0.4758, Acc.tray: 0.0927, Acc.ashcan: 0.5300, Acc.fan: 0.6922, Acc.pier: 0.4742, Acc.crt screen: 0.2358, Acc.plate: 0.6635, Acc.monitor: 0.2132, Acc.bulletin board: 0.5240, Acc.shower: 0.0579, Acc.radiator: 0.6684, Acc.glass: 0.1386, Acc.clock: 0.3725, Acc.flag: 0.3800 +2023-03-04 14:58:48,316 - mmseg - INFO - Iter [56050/80000] lr: 4.687e-06, eta: 1:18:38, time: 0.499, data_time: 0.323, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.7635, loss: 0.1982 +2023-03-04 14:58:57,281 - mmseg - INFO - Iter [56100/80000] lr: 4.687e-06, eta: 1:18:28, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1913, decode.acc_seg: 92.0597, loss: 0.1913 +2023-03-04 14:59:06,181 - mmseg - INFO - Iter [56150/80000] lr: 4.687e-06, eta: 1:18:18, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 91.9999, loss: 0.1942 +2023-03-04 14:59:14,989 - mmseg - INFO - Iter [56200/80000] lr: 4.687e-06, eta: 1:18:07, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1911, decode.acc_seg: 92.1707, loss: 0.1911 +2023-03-04 14:59:23,818 - mmseg - INFO - Iter [56250/80000] lr: 4.687e-06, eta: 1:17:57, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1323, loss: 0.1920 +2023-03-04 14:59:32,532 - mmseg - INFO - Iter [56300/80000] lr: 4.687e-06, eta: 1:17:47, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9610, loss: 0.1941 +2023-03-04 14:59:41,507 - mmseg - INFO - Iter [56350/80000] lr: 4.687e-06, eta: 1:17:36, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1934, decode.acc_seg: 92.0757, loss: 0.1934 +2023-03-04 14:59:50,630 - mmseg - INFO - Iter [56400/80000] lr: 4.687e-06, eta: 1:17:26, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.9080, loss: 0.1996 +2023-03-04 14:59:59,700 - mmseg - INFO - Iter [56450/80000] lr: 4.687e-06, eta: 1:17:16, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.6807, loss: 0.2002 +2023-03-04 15:00:09,119 - mmseg - INFO - Iter [56500/80000] lr: 4.687e-06, eta: 1:17:06, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.0103, loss: 0.1917 +2023-03-04 15:00:18,454 - mmseg - INFO - Iter [56550/80000] lr: 4.687e-06, eta: 1:16:56, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6736, loss: 0.2026 +2023-03-04 15:00:29,940 - mmseg - INFO - Iter [56600/80000] lr: 4.687e-06, eta: 1:16:47, time: 0.230, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6746, loss: 0.2026 +2023-03-04 15:00:39,319 - mmseg - INFO - Iter [56650/80000] lr: 4.687e-06, eta: 1:16:37, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.8731, loss: 0.1962 +2023-03-04 15:00:48,492 - mmseg - INFO - Iter [56700/80000] lr: 4.687e-06, eta: 1:16:26, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1971, decode.acc_seg: 91.8826, loss: 0.1971 +2023-03-04 15:00:57,562 - mmseg - INFO - Iter [56750/80000] lr: 4.687e-06, eta: 1:16:16, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 91.9808, loss: 0.1918 +2023-03-04 15:01:07,127 - mmseg - INFO - Iter [56800/80000] lr: 4.687e-06, eta: 1:16:06, time: 0.191, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.6468, loss: 0.2012 +2023-03-04 15:01:15,724 - mmseg - INFO - Iter [56850/80000] lr: 4.687e-06, eta: 1:15:56, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2047, decode.acc_seg: 91.8297, loss: 0.2047 +2023-03-04 15:01:24,742 - mmseg - INFO - Iter [56900/80000] lr: 4.687e-06, eta: 1:15:46, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2057, decode.acc_seg: 91.5130, loss: 0.2057 +2023-03-04 15:01:34,312 - mmseg - INFO - Iter [56950/80000] lr: 4.687e-06, eta: 1:15:36, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 92.0440, loss: 0.1943 +2023-03-04 15:01:42,969 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:01:42,970 - mmseg - INFO - Iter [57000/80000] lr: 4.687e-06, eta: 1:15:25, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9632, loss: 0.1977 +2023-03-04 15:01:52,645 - mmseg - INFO - Iter [57050/80000] lr: 4.687e-06, eta: 1:15:15, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 91.8519, loss: 0.1945 +2023-03-04 15:02:01,968 - mmseg - INFO - Iter [57100/80000] lr: 4.687e-06, eta: 1:15:05, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1939, decode.acc_seg: 92.0523, loss: 0.1939 +2023-03-04 15:02:10,606 - mmseg - INFO - Iter [57150/80000] lr: 4.687e-06, eta: 1:14:55, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2044, decode.acc_seg: 91.6157, loss: 0.2044 +2023-03-04 15:02:19,461 - mmseg - INFO - Iter [57200/80000] lr: 4.687e-06, eta: 1:14:45, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.8778, loss: 0.1972 +2023-03-04 15:02:30,762 - mmseg - INFO - Iter [57250/80000] lr: 4.687e-06, eta: 1:14:35, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8851, loss: 0.1970 +2023-03-04 15:02:39,641 - mmseg - INFO - Iter [57300/80000] lr: 4.687e-06, eta: 1:14:25, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.9027, loss: 0.1964 +2023-03-04 15:02:49,080 - mmseg - INFO - Iter [57350/80000] lr: 4.687e-06, eta: 1:14:15, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.9867, loss: 0.1949 +2023-03-04 15:02:58,252 - mmseg - INFO - Iter [57400/80000] lr: 4.687e-06, eta: 1:14:05, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6197, loss: 0.2010 +2023-03-04 15:03:07,488 - mmseg - INFO - Iter [57450/80000] lr: 4.687e-06, eta: 1:13:55, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1955, decode.acc_seg: 92.0050, loss: 0.1955 +2023-03-04 15:03:16,715 - mmseg - INFO - Iter [57500/80000] lr: 4.687e-06, eta: 1:13:45, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.7440, loss: 0.1957 +2023-03-04 15:03:25,944 - mmseg - INFO - Iter [57550/80000] lr: 4.687e-06, eta: 1:13:35, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1880, decode.acc_seg: 92.3199, loss: 0.1880 +2023-03-04 15:03:34,734 - mmseg - INFO - Iter [57600/80000] lr: 4.687e-06, eta: 1:13:24, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6774, loss: 0.2010 +2023-03-04 15:03:43,600 - mmseg - INFO - Iter [57650/80000] lr: 4.687e-06, eta: 1:13:14, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9330, loss: 0.1954 +2023-03-04 15:03:52,603 - mmseg - INFO - Iter [57700/80000] lr: 4.687e-06, eta: 1:13:04, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.8559, loss: 0.1977 +2023-03-04 15:04:01,511 - mmseg - INFO - Iter [57750/80000] lr: 4.687e-06, eta: 1:12:54, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7882, loss: 0.2015 +2023-03-04 15:04:10,492 - mmseg - INFO - Iter [57800/80000] lr: 4.687e-06, eta: 1:12:43, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9639, loss: 0.1941 +2023-03-04 15:04:22,003 - mmseg - INFO - Iter [57850/80000] lr: 4.687e-06, eta: 1:12:34, time: 0.230, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1984, decode.acc_seg: 91.8660, loss: 0.1984 +2023-03-04 15:04:31,268 - mmseg - INFO - Iter [57900/80000] lr: 4.687e-06, eta: 1:12:24, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.8914, loss: 0.1968 +2023-03-04 15:04:39,922 - mmseg - INFO - Iter [57950/80000] lr: 4.687e-06, eta: 1:12:14, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.1951, loss: 0.1917 +2023-03-04 15:04:49,429 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:04:49,429 - mmseg - INFO - Iter [58000/80000] lr: 4.687e-06, eta: 1:12:04, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.8844, loss: 0.1950 +2023-03-04 15:04:58,264 - mmseg - INFO - Iter [58050/80000] lr: 4.687e-06, eta: 1:11:54, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.6392, loss: 0.2003 +2023-03-04 15:05:07,125 - mmseg - INFO - Iter [58100/80000] lr: 4.687e-06, eta: 1:11:43, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.6767, loss: 0.1989 +2023-03-04 15:05:16,486 - mmseg - INFO - Iter [58150/80000] lr: 4.687e-06, eta: 1:11:33, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.8657, loss: 0.1986 +2023-03-04 15:05:25,186 - mmseg - INFO - Iter [58200/80000] lr: 4.687e-06, eta: 1:11:23, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 92.0501, loss: 0.1959 +2023-03-04 15:05:33,852 - mmseg - INFO - Iter [58250/80000] lr: 4.687e-06, eta: 1:11:13, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1898, decode.acc_seg: 92.1128, loss: 0.1898 +2023-03-04 15:05:43,156 - mmseg - INFO - Iter [58300/80000] lr: 4.687e-06, eta: 1:11:03, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 91.9682, loss: 0.1938 +2023-03-04 15:05:52,007 - mmseg - INFO - Iter [58350/80000] lr: 4.687e-06, eta: 1:10:52, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.7912, loss: 0.1988 +2023-03-04 15:06:01,390 - mmseg - INFO - Iter [58400/80000] lr: 4.687e-06, eta: 1:10:42, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 92.1345, loss: 0.1941 +2023-03-04 15:06:10,252 - mmseg - INFO - Iter [58450/80000] lr: 4.687e-06, eta: 1:10:32, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.7909, loss: 0.1959 +2023-03-04 15:06:22,063 - mmseg - INFO - Iter [58500/80000] lr: 4.687e-06, eta: 1:10:23, time: 0.236, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.0834, loss: 0.1929 +2023-03-04 15:06:31,027 - mmseg - INFO - Iter [58550/80000] lr: 4.687e-06, eta: 1:10:13, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1906, decode.acc_seg: 92.1603, loss: 0.1906 +2023-03-04 15:06:40,381 - mmseg - INFO - Iter [58600/80000] lr: 4.687e-06, eta: 1:10:03, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.9089, loss: 0.2016 +2023-03-04 15:06:49,248 - mmseg - INFO - Iter [58650/80000] lr: 4.687e-06, eta: 1:09:53, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1894, decode.acc_seg: 92.0515, loss: 0.1894 +2023-03-04 15:06:58,210 - mmseg - INFO - Iter [58700/80000] lr: 4.687e-06, eta: 1:09:43, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2056, decode.acc_seg: 91.6807, loss: 0.2056 +2023-03-04 15:07:07,097 - mmseg - INFO - Iter [58750/80000] lr: 4.687e-06, eta: 1:09:32, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 91.9709, loss: 0.1943 +2023-03-04 15:07:15,910 - mmseg - INFO - Iter [58800/80000] lr: 4.687e-06, eta: 1:09:22, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.4700, loss: 0.2084 +2023-03-04 15:07:25,550 - mmseg - INFO - Iter [58850/80000] lr: 4.687e-06, eta: 1:09:12, time: 0.193, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8772, loss: 0.1976 +2023-03-04 15:07:34,613 - mmseg - INFO - Iter [58900/80000] lr: 4.687e-06, eta: 1:09:02, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1891, decode.acc_seg: 92.1000, loss: 0.1891 +2023-03-04 15:07:43,453 - mmseg - INFO - Iter [58950/80000] lr: 4.687e-06, eta: 1:08:52, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8302, loss: 0.1987 +2023-03-04 15:07:52,605 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:07:52,605 - mmseg - INFO - Iter [59000/80000] lr: 4.687e-06, eta: 1:08:42, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1915, decode.acc_seg: 92.0544, loss: 0.1915 +2023-03-04 15:08:01,452 - mmseg - INFO - Iter [59050/80000] lr: 4.687e-06, eta: 1:08:32, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.3898, loss: 0.2059 +2023-03-04 15:08:10,198 - mmseg - INFO - Iter [59100/80000] lr: 4.687e-06, eta: 1:08:21, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 91.9462, loss: 0.1917 +2023-03-04 15:08:21,926 - mmseg - INFO - Iter [59150/80000] lr: 4.687e-06, eta: 1:08:12, time: 0.235, data_time: 0.055, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7160, loss: 0.2015 +2023-03-04 15:08:30,658 - mmseg - INFO - Iter [59200/80000] lr: 4.687e-06, eta: 1:08:02, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.0856, loss: 0.1938 +2023-03-04 15:08:39,459 - mmseg - INFO - Iter [59250/80000] lr: 4.687e-06, eta: 1:07:52, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 92.0511, loss: 0.1949 +2023-03-04 15:08:48,153 - mmseg - INFO - Iter [59300/80000] lr: 4.687e-06, eta: 1:07:42, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.8064, loss: 0.1964 +2023-03-04 15:08:56,864 - mmseg - INFO - Iter [59350/80000] lr: 4.687e-06, eta: 1:07:31, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.0908, loss: 0.1917 +2023-03-04 15:09:06,219 - mmseg - INFO - Iter [59400/80000] lr: 4.687e-06, eta: 1:07:21, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9825, loss: 0.1958 +2023-03-04 15:09:14,931 - mmseg - INFO - Iter [59450/80000] lr: 4.687e-06, eta: 1:07:11, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.6372, loss: 0.2015 +2023-03-04 15:09:23,912 - mmseg - INFO - Iter [59500/80000] lr: 4.687e-06, eta: 1:07:01, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1881, decode.acc_seg: 92.1102, loss: 0.1881 +2023-03-04 15:09:33,116 - mmseg - INFO - Iter [59550/80000] lr: 4.687e-06, eta: 1:06:51, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.8971, loss: 0.1949 +2023-03-04 15:09:41,905 - mmseg - INFO - Iter [59600/80000] lr: 4.687e-06, eta: 1:06:41, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.9586, loss: 0.1966 +2023-03-04 15:09:50,805 - mmseg - INFO - Iter [59650/80000] lr: 4.687e-06, eta: 1:06:31, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.6082, loss: 0.2058 +2023-03-04 15:09:59,628 - mmseg - INFO - Iter [59700/80000] lr: 4.687e-06, eta: 1:06:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2060, decode.acc_seg: 91.5203, loss: 0.2060 +2023-03-04 15:10:10,721 - mmseg - INFO - Iter [59750/80000] lr: 4.687e-06, eta: 1:06:11, time: 0.222, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.7836, loss: 0.1977 +2023-03-04 15:10:19,627 - mmseg - INFO - Iter [59800/80000] lr: 4.687e-06, eta: 1:06:01, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6022, loss: 0.2025 +2023-03-04 15:10:28,585 - mmseg - INFO - Iter [59850/80000] lr: 4.687e-06, eta: 1:05:51, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.8080, loss: 0.2013 +2023-03-04 15:10:37,469 - mmseg - INFO - Iter [59900/80000] lr: 4.687e-06, eta: 1:05:41, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.9081, loss: 0.1983 +2023-03-04 15:10:46,585 - mmseg - INFO - Iter [59950/80000] lr: 4.687e-06, eta: 1:05:31, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9200, loss: 0.1977 +2023-03-04 15:10:55,318 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:10:55,318 - mmseg - INFO - Iter [60000/80000] lr: 4.687e-06, eta: 1:05:20, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.8154, loss: 0.1983 +2023-03-04 15:11:04,505 - mmseg - INFO - Iter [60050/80000] lr: 2.344e-06, eta: 1:05:10, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1916, decode.acc_seg: 92.1618, loss: 0.1916 +2023-03-04 15:11:14,068 - mmseg - INFO - Iter [60100/80000] lr: 2.344e-06, eta: 1:05:00, time: 0.191, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2065, decode.acc_seg: 91.4942, loss: 0.2065 +2023-03-04 15:11:23,206 - mmseg - INFO - Iter [60150/80000] lr: 2.344e-06, eta: 1:04:50, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.7589, loss: 0.1982 +2023-03-04 15:11:32,329 - mmseg - INFO - Iter [60200/80000] lr: 2.344e-06, eta: 1:04:40, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9291, loss: 0.1948 +2023-03-04 15:11:41,634 - mmseg - INFO - Iter [60250/80000] lr: 2.344e-06, eta: 1:04:30, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7530, loss: 0.2021 +2023-03-04 15:11:50,423 - mmseg - INFO - Iter [60300/80000] lr: 2.344e-06, eta: 1:04:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1887, decode.acc_seg: 92.2650, loss: 0.1887 +2023-03-04 15:11:59,362 - mmseg - INFO - Iter [60350/80000] lr: 2.344e-06, eta: 1:04:10, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2131, decode.acc_seg: 91.4515, loss: 0.2131 +2023-03-04 15:12:10,436 - mmseg - INFO - Iter [60400/80000] lr: 2.344e-06, eta: 1:04:01, time: 0.221, data_time: 0.053, memory: 52403, decode.loss_ce: 0.2018, decode.acc_seg: 91.6678, loss: 0.2018 +2023-03-04 15:12:19,115 - mmseg - INFO - Iter [60450/80000] lr: 2.344e-06, eta: 1:03:50, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1984, decode.acc_seg: 91.7742, loss: 0.1984 +2023-03-04 15:12:27,997 - mmseg - INFO - Iter [60500/80000] lr: 2.344e-06, eta: 1:03:40, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1915, decode.acc_seg: 92.0684, loss: 0.1915 +2023-03-04 15:12:36,934 - mmseg - INFO - Iter [60550/80000] lr: 2.344e-06, eta: 1:03:30, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.8970, loss: 0.1972 +2023-03-04 15:12:46,075 - mmseg - INFO - Iter [60600/80000] lr: 2.344e-06, eta: 1:03:20, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 92.1893, loss: 0.1930 +2023-03-04 15:12:54,929 - mmseg - INFO - Iter [60650/80000] lr: 2.344e-06, eta: 1:03:10, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.7920, loss: 0.1966 +2023-03-04 15:13:03,977 - mmseg - INFO - Iter [60700/80000] lr: 2.344e-06, eta: 1:03:00, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8699, loss: 0.1976 +2023-03-04 15:13:12,762 - mmseg - INFO - Iter [60750/80000] lr: 2.344e-06, eta: 1:02:50, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8234, loss: 0.1994 +2023-03-04 15:13:21,556 - mmseg - INFO - Iter [60800/80000] lr: 2.344e-06, eta: 1:02:40, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.0599, loss: 0.1920 +2023-03-04 15:13:30,649 - mmseg - INFO - Iter [60850/80000] lr: 2.344e-06, eta: 1:02:30, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.0594, loss: 0.1902 +2023-03-04 15:13:39,420 - mmseg - INFO - Iter [60900/80000] lr: 2.344e-06, eta: 1:02:19, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 92.0053, loss: 0.1936 +2023-03-04 15:13:48,636 - mmseg - INFO - Iter [60950/80000] lr: 2.344e-06, eta: 1:02:09, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1923, decode.acc_seg: 92.0288, loss: 0.1923 +2023-03-04 15:13:57,401 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:13:57,401 - mmseg - INFO - Iter [61000/80000] lr: 2.344e-06, eta: 1:01:59, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.7993, loss: 0.2002 +2023-03-04 15:14:08,890 - mmseg - INFO - Iter [61050/80000] lr: 2.344e-06, eta: 1:01:50, time: 0.230, data_time: 0.057, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.1340, loss: 0.1912 +2023-03-04 15:14:17,783 - mmseg - INFO - Iter [61100/80000] lr: 2.344e-06, eta: 1:01:40, time: 0.178, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.8639, loss: 0.1961 +2023-03-04 15:14:27,205 - mmseg - INFO - Iter [61150/80000] lr: 2.344e-06, eta: 1:01:30, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.6063, loss: 0.2016 +2023-03-04 15:14:35,856 - mmseg - INFO - Iter [61200/80000] lr: 2.344e-06, eta: 1:01:20, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 92.0088, loss: 0.1958 +2023-03-04 15:14:45,086 - mmseg - INFO - Iter [61250/80000] lr: 2.344e-06, eta: 1:01:10, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1998, decode.acc_seg: 91.6328, loss: 0.1998 +2023-03-04 15:14:54,219 - mmseg - INFO - Iter [61300/80000] lr: 2.344e-06, eta: 1:01:00, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 92.0871, loss: 0.1962 +2023-03-04 15:15:02,967 - mmseg - INFO - Iter [61350/80000] lr: 2.344e-06, eta: 1:00:50, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.8946, loss: 0.1996 +2023-03-04 15:15:11,815 - mmseg - INFO - Iter [61400/80000] lr: 2.344e-06, eta: 1:00:40, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.8500, loss: 0.2031 +2023-03-04 15:15:20,731 - mmseg - INFO - Iter [61450/80000] lr: 2.344e-06, eta: 1:00:30, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1861, decode.acc_seg: 92.3165, loss: 0.1861 +2023-03-04 15:15:29,428 - mmseg - INFO - Iter [61500/80000] lr: 2.344e-06, eta: 1:00:19, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 92.1502, loss: 0.1942 +2023-03-04 15:15:38,244 - mmseg - INFO - Iter [61550/80000] lr: 2.344e-06, eta: 1:00:09, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.8104, loss: 0.1985 +2023-03-04 15:15:47,309 - mmseg - INFO - Iter [61600/80000] lr: 2.344e-06, eta: 0:59:59, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.8467, loss: 0.1944 +2023-03-04 15:15:59,204 - mmseg - INFO - Iter [61650/80000] lr: 2.344e-06, eta: 0:59:50, time: 0.238, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 92.0122, loss: 0.1936 +2023-03-04 15:16:08,103 - mmseg - INFO - Iter [61700/80000] lr: 2.344e-06, eta: 0:59:40, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1887, decode.acc_seg: 92.1572, loss: 0.1887 +2023-03-04 15:16:17,089 - mmseg - INFO - Iter [61750/80000] lr: 2.344e-06, eta: 0:59:30, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.7443, loss: 0.2022 +2023-03-04 15:16:25,785 - mmseg - INFO - Iter [61800/80000] lr: 2.344e-06, eta: 0:59:20, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2090, decode.acc_seg: 91.7355, loss: 0.2090 +2023-03-04 15:16:34,823 - mmseg - INFO - Iter [61850/80000] lr: 2.344e-06, eta: 0:59:10, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.8579, loss: 0.1995 +2023-03-04 15:16:43,718 - mmseg - INFO - Iter [61900/80000] lr: 2.344e-06, eta: 0:59:00, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1911, decode.acc_seg: 92.1614, loss: 0.1911 +2023-03-04 15:16:52,665 - mmseg - INFO - Iter [61950/80000] lr: 2.344e-06, eta: 0:58:50, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.5543, loss: 0.2040 +2023-03-04 15:17:01,664 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:17:01,664 - mmseg - INFO - Iter [62000/80000] lr: 2.344e-06, eta: 0:58:40, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 91.9254, loss: 0.1968 +2023-03-04 15:17:10,487 - mmseg - INFO - Iter [62050/80000] lr: 2.344e-06, eta: 0:58:30, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1968, decode.acc_seg: 92.0590, loss: 0.1968 +2023-03-04 15:17:19,343 - mmseg - INFO - Iter [62100/80000] lr: 2.344e-06, eta: 0:58:19, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1906, decode.acc_seg: 92.1813, loss: 0.1906 +2023-03-04 15:17:28,276 - mmseg - INFO - Iter [62150/80000] lr: 2.344e-06, eta: 0:58:09, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2036, decode.acc_seg: 91.6570, loss: 0.2036 +2023-03-04 15:17:37,143 - mmseg - INFO - Iter [62200/80000] lr: 2.344e-06, eta: 0:57:59, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.7876, loss: 0.1975 +2023-03-04 15:17:45,864 - mmseg - INFO - Iter [62250/80000] lr: 2.344e-06, eta: 0:57:49, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1974, decode.acc_seg: 91.8289, loss: 0.1974 +2023-03-04 15:17:57,473 - mmseg - INFO - Iter [62300/80000] lr: 2.344e-06, eta: 0:57:40, time: 0.232, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.9149, loss: 0.1950 +2023-03-04 15:18:06,352 - mmseg - INFO - Iter [62350/80000] lr: 2.344e-06, eta: 0:57:30, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 92.0024, loss: 0.1967 +2023-03-04 15:18:15,253 - mmseg - INFO - Iter [62400/80000] lr: 2.344e-06, eta: 0:57:20, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.9701, loss: 0.1975 +2023-03-04 15:18:24,438 - mmseg - INFO - Iter [62450/80000] lr: 2.344e-06, eta: 0:57:10, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.9353, loss: 0.1997 +2023-03-04 15:18:33,401 - mmseg - INFO - Iter [62500/80000] lr: 2.344e-06, eta: 0:57:00, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 92.0480, loss: 0.1933 +2023-03-04 15:18:42,559 - mmseg - INFO - Iter [62550/80000] lr: 2.344e-06, eta: 0:56:50, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 91.9317, loss: 0.1937 +2023-03-04 15:18:51,483 - mmseg - INFO - Iter [62600/80000] lr: 2.344e-06, eta: 0:56:40, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8396, loss: 0.1976 +2023-03-04 15:19:00,332 - mmseg - INFO - Iter [62650/80000] lr: 2.344e-06, eta: 0:56:30, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 91.9913, loss: 0.1930 +2023-03-04 15:19:08,986 - mmseg - INFO - Iter [62700/80000] lr: 2.344e-06, eta: 0:56:20, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.8826, loss: 0.1951 +2023-03-04 15:19:18,157 - mmseg - INFO - Iter [62750/80000] lr: 2.344e-06, eta: 0:56:10, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9118, loss: 0.1976 +2023-03-04 15:19:27,122 - mmseg - INFO - Iter [62800/80000] lr: 2.344e-06, eta: 0:56:00, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2081, decode.acc_seg: 91.4979, loss: 0.2081 +2023-03-04 15:19:36,260 - mmseg - INFO - Iter [62850/80000] lr: 2.344e-06, eta: 0:55:50, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.8199, loss: 0.2020 +2023-03-04 15:19:47,518 - mmseg - INFO - Iter [62900/80000] lr: 2.344e-06, eta: 0:55:40, time: 0.225, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.9890, loss: 0.1960 +2023-03-04 15:19:56,269 - mmseg - INFO - Iter [62950/80000] lr: 2.344e-06, eta: 0:55:30, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2005, decode.acc_seg: 91.8616, loss: 0.2005 +2023-03-04 15:20:05,251 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:20:05,251 - mmseg - INFO - Iter [63000/80000] lr: 2.344e-06, eta: 0:55:20, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1969, decode.acc_seg: 91.9375, loss: 0.1969 +2023-03-04 15:20:14,322 - mmseg - INFO - Iter [63050/80000] lr: 2.344e-06, eta: 0:55:10, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.6623, loss: 0.2033 +2023-03-04 15:20:23,155 - mmseg - INFO - Iter [63100/80000] lr: 2.344e-06, eta: 0:55:00, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.8395, loss: 0.2014 +2023-03-04 15:20:32,241 - mmseg - INFO - Iter [63150/80000] lr: 2.344e-06, eta: 0:54:50, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.7701, loss: 0.1959 +2023-03-04 15:20:41,268 - mmseg - INFO - Iter [63200/80000] lr: 2.344e-06, eta: 0:54:40, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.8968, loss: 0.1950 +2023-03-04 15:20:50,040 - mmseg - INFO - Iter [63250/80000] lr: 2.344e-06, eta: 0:54:30, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1922, decode.acc_seg: 92.0469, loss: 0.1922 +2023-03-04 15:20:58,867 - mmseg - INFO - Iter [63300/80000] lr: 2.344e-06, eta: 0:54:20, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6854, loss: 0.2061 +2023-03-04 15:21:07,779 - mmseg - INFO - Iter [63350/80000] lr: 2.344e-06, eta: 0:54:10, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.6771, loss: 0.2040 +2023-03-04 15:21:16,468 - mmseg - INFO - Iter [63400/80000] lr: 2.344e-06, eta: 0:54:00, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.8621, loss: 0.2007 +2023-03-04 15:21:25,424 - mmseg - INFO - Iter [63450/80000] lr: 2.344e-06, eta: 0:53:50, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1893, decode.acc_seg: 92.1971, loss: 0.1893 +2023-03-04 15:21:34,451 - mmseg - INFO - Iter [63500/80000] lr: 2.344e-06, eta: 0:53:40, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.8989, loss: 0.1957 +2023-03-04 15:21:46,289 - mmseg - INFO - Iter [63550/80000] lr: 2.344e-06, eta: 0:53:31, time: 0.237, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9339, loss: 0.1954 +2023-03-04 15:21:55,296 - mmseg - INFO - Iter [63600/80000] lr: 2.344e-06, eta: 0:53:21, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.6399, loss: 0.2024 +2023-03-04 15:22:04,039 - mmseg - INFO - Iter [63650/80000] lr: 2.344e-06, eta: 0:53:11, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 91.9324, loss: 0.1919 +2023-03-04 15:22:13,035 - mmseg - INFO - Iter [63700/80000] lr: 2.344e-06, eta: 0:53:01, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 92.0115, loss: 0.2009 +2023-03-04 15:22:21,764 - mmseg - INFO - Iter [63750/80000] lr: 2.344e-06, eta: 0:52:51, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8073, loss: 0.1994 +2023-03-04 15:22:30,642 - mmseg - INFO - Iter [63800/80000] lr: 2.344e-06, eta: 0:52:41, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 91.9790, loss: 0.1957 +2023-03-04 15:22:39,685 - mmseg - INFO - Iter [63850/80000] lr: 2.344e-06, eta: 0:52:31, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 92.0468, loss: 0.1930 +2023-03-04 15:22:48,299 - mmseg - INFO - Iter [63900/80000] lr: 2.344e-06, eta: 0:52:21, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 92.0357, loss: 0.1943 +2023-03-04 15:22:57,680 - mmseg - INFO - Iter [63950/80000] lr: 2.344e-06, eta: 0:52:11, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.5398, loss: 0.2045 +2023-03-04 15:23:06,836 - mmseg - INFO - Saving checkpoint at 64000 iterations +2023-03-04 15:23:07,543 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:23:07,543 - mmseg - INFO - Iter [64000/80000] lr: 2.344e-06, eta: 0:52:01, time: 0.198, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9728, loss: 0.1972 +2023-03-04 15:23:23,039 - mmseg - INFO - per class results: +2023-03-04 15:23:23,045 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.16 | 88.83 | +| building | 81.43 | 91.88 | +| sky | 94.37 | 97.45 | +| floor | 81.25 | 91.09 | +| tree | 73.56 | 87.78 | +| ceiling | 84.87 | 93.29 | +| road | 81.91 | 90.12 | +| bed | 87.44 | 95.17 | +| windowpane | 60.1 | 78.0 | +| grass | 66.96 | 83.39 | +| cabinet | 59.55 | 71.88 | +| sidewalk | 63.8 | 79.53 | +| person | 79.11 | 92.03 | +| earth | 35.81 | 49.69 | +| door | 45.37 | 58.49 | +| table | 59.74 | 76.3 | +| mountain | 58.16 | 72.83 | +| plant | 49.15 | 60.1 | +| curtain | 73.72 | 83.99 | +| chair | 55.73 | 68.38 | +| car | 80.73 | 92.39 | +| water | 57.5 | 75.65 | +| painting | 70.22 | 84.85 | +| sofa | 63.08 | 82.15 | +| shelf | 43.05 | 61.06 | +| house | 42.67 | 58.79 | +| sea | 60.11 | 76.83 | +| mirror | 64.7 | 72.92 | +| rug | 64.9 | 73.76 | +| field | 30.85 | 45.0 | +| armchair | 37.18 | 54.01 | +| seat | 66.19 | 82.49 | +| fence | 40.59 | 53.29 | +| desk | 45.56 | 67.37 | +| rock | 37.16 | 60.29 | +| wardrobe | 55.64 | 68.64 | +| lamp | 59.99 | 74.26 | +| bathtub | 73.24 | 80.75 | +| railing | 33.41 | 46.32 | +| cushion | 55.81 | 68.18 | +| base | 20.06 | 24.67 | +| box | 23.28 | 30.62 | +| column | 44.82 | 55.59 | +| signboard | 37.21 | 49.45 | +| chest of drawers | 35.86 | 58.38 | +| counter | 30.62 | 40.15 | +| sand | 42.14 | 58.1 | +| sink | 66.56 | 77.76 | +| skyscraper | 48.98 | 61.8 | +| fireplace | 73.37 | 85.8 | +| refrigerator | 73.29 | 86.22 | +| grandstand | 54.41 | 65.89 | +| path | 22.05 | 29.49 | +| stairs | 33.48 | 41.45 | +| runway | 66.6 | 85.53 | +| case | 47.19 | 58.89 | +| pool table | 91.46 | 94.25 | +| pillow | 60.64 | 71.32 | +| screen door | 67.58 | 73.65 | +| stairway | 23.5 | 35.01 | +| river | 11.88 | 22.09 | +| bridge | 32.51 | 37.38 | +| bookcase | 45.33 | 63.9 | +| blind | 39.81 | 45.8 | +| coffee table | 53.08 | 76.64 | +| toilet | 83.19 | 89.49 | +| flower | 38.15 | 53.01 | +| book | 43.81 | 64.5 | +| hill | 14.76 | 21.43 | +| bench | 42.15 | 55.05 | +| countertop | 52.91 | 70.17 | +| stove | 69.79 | 80.57 | +| palm | 47.75 | 67.18 | +| kitchen island | 39.38 | 61.78 | +| computer | 59.91 | 68.88 | +| swivel chair | 44.79 | 60.27 | +| boat | 68.15 | 83.81 | +| bar | 23.17 | 30.91 | +| arcade machine | 71.76 | 74.65 | +| hovel | 30.64 | 34.15 | +| bus | 78.15 | 90.0 | +| towel | 62.55 | 72.53 | +| light | 51.41 | 56.77 | +| truck | 17.79 | 23.15 | +| tower | 7.0 | 11.21 | +| chandelier | 62.91 | 76.66 | +| awning | 23.12 | 26.34 | +| streetlight | 25.34 | 33.72 | +| booth | 41.1 | 42.41 | +| television receiver | 64.16 | 76.53 | +| airplane | 59.52 | 66.13 | +| dirt track | 19.78 | 47.28 | +| apparel | 33.61 | 53.37 | +| pole | 15.82 | 20.68 | +| land | 4.59 | 6.96 | +| bannister | 11.09 | 15.18 | +| escalator | 23.72 | 25.23 | +| ottoman | 41.58 | 61.88 | +| bottle | 35.9 | 57.3 | +| buffet | 38.51 | 45.18 | +| poster | 23.38 | 33.24 | +| stage | 13.04 | 16.65 | +| van | 37.72 | 53.25 | +| ship | 75.66 | 92.51 | +| fountain | 21.07 | 21.49 | +| conveyer belt | 85.21 | 90.28 | +| canopy | 23.1 | 24.84 | +| washer | 78.65 | 79.76 | +| plaything | 20.84 | 29.73 | +| swimming pool | 70.79 | 80.53 | +| stool | 43.23 | 56.22 | +| barrel | 46.86 | 56.26 | +| basket | 25.81 | 38.52 | +| waterfall | 48.82 | 64.11 | +| tent | 94.4 | 97.56 | +| bag | 14.64 | 18.18 | +| minibike | 61.55 | 72.61 | +| cradle | 83.83 | 96.02 | +| oven | 45.95 | 66.17 | +| ball | 43.46 | 49.88 | +| food | 52.32 | 62.98 | +| step | 3.35 | 3.49 | +| tank | 49.01 | 54.67 | +| trade name | 27.9 | 30.88 | +| microwave | 73.29 | 79.43 | +| pot | 30.53 | 34.81 | +| animal | 53.07 | 59.86 | +| bicycle | 52.94 | 71.5 | +| lake | 57.61 | 63.13 | +| dishwasher | 65.69 | 76.94 | +| screen | 68.05 | 80.18 | +| blanket | 17.36 | 20.28 | +| sculpture | 56.27 | 78.45 | +| hood | 57.61 | 64.62 | +| sconce | 40.98 | 48.69 | +| vase | 36.43 | 49.82 | +| traffic light | 32.21 | 47.45 | +| tray | 6.4 | 9.52 | +| ashcan | 41.78 | 52.74 | +| fan | 57.97 | 69.47 | +| pier | 45.49 | 64.76 | +| crt screen | 8.88 | 23.39 | +| plate | 50.84 | 67.68 | +| monitor | 18.29 | 21.9 | +| bulletin board | 38.59 | 50.8 | +| shower | 1.48 | 5.92 | +| radiator | 60.75 | 68.33 | +| glass | 12.08 | 13.11 | +| clock | 33.32 | 36.7 | +| flag | 34.43 | 38.76 | ++---------------------+-------+-------+ +2023-03-04 15:23:23,045 - mmseg - INFO - Summary: +2023-03-04 15:23:23,045 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.55 | 47.92 | 58.88 | ++-------+-------+-------+ +2023-03-04 15:23:23,066 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_48000.pth was removed +2023-03-04 15:23:23,646 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2023-03-04 15:23:23,646 - mmseg - INFO - Best mIoU is 0.4792 at 64000 iter. +2023-03-04 15:23:23,646 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:23:23,647 - mmseg - INFO - Iter(val) [250] aAcc: 0.8255, mIoU: 0.4792, mAcc: 0.5888, IoU.background: nan, IoU.wall: 0.7716, IoU.building: 0.8143, IoU.sky: 0.9437, IoU.floor: 0.8125, IoU.tree: 0.7356, IoU.ceiling: 0.8487, IoU.road: 0.8191, IoU.bed : 0.8744, IoU.windowpane: 0.6010, IoU.grass: 0.6696, IoU.cabinet: 0.5955, IoU.sidewalk: 0.6380, IoU.person: 0.7911, IoU.earth: 0.3581, IoU.door: 0.4537, IoU.table: 0.5974, IoU.mountain: 0.5816, IoU.plant: 0.4915, IoU.curtain: 0.7372, IoU.chair: 0.5573, IoU.car: 0.8073, IoU.water: 0.5750, IoU.painting: 0.7022, IoU.sofa: 0.6308, IoU.shelf: 0.4305, IoU.house: 0.4267, IoU.sea: 0.6011, IoU.mirror: 0.6470, IoU.rug: 0.6490, IoU.field: 0.3085, IoU.armchair: 0.3718, IoU.seat: 0.6619, IoU.fence: 0.4059, IoU.desk: 0.4556, IoU.rock: 0.3716, IoU.wardrobe: 0.5564, IoU.lamp: 0.5999, IoU.bathtub: 0.7324, IoU.railing: 0.3341, IoU.cushion: 0.5581, IoU.base: 0.2006, IoU.box: 0.2328, IoU.column: 0.4482, IoU.signboard: 0.3721, IoU.chest of drawers: 0.3586, IoU.counter: 0.3062, IoU.sand: 0.4214, IoU.sink: 0.6656, IoU.skyscraper: 0.4898, IoU.fireplace: 0.7337, IoU.refrigerator: 0.7329, IoU.grandstand: 0.5441, IoU.path: 0.2205, IoU.stairs: 0.3348, IoU.runway: 0.6660, IoU.case: 0.4719, IoU.pool table: 0.9146, IoU.pillow: 0.6064, IoU.screen door: 0.6758, IoU.stairway: 0.2350, IoU.river: 0.1188, IoU.bridge: 0.3251, IoU.bookcase: 0.4533, IoU.blind: 0.3981, IoU.coffee table: 0.5308, IoU.toilet: 0.8319, IoU.flower: 0.3815, IoU.book: 0.4381, IoU.hill: 0.1476, IoU.bench: 0.4215, IoU.countertop: 0.5291, IoU.stove: 0.6979, IoU.palm: 0.4775, IoU.kitchen island: 0.3938, IoU.computer: 0.5991, IoU.swivel chair: 0.4479, IoU.boat: 0.6815, IoU.bar: 0.2317, IoU.arcade machine: 0.7176, IoU.hovel: 0.3064, IoU.bus: 0.7815, IoU.towel: 0.6255, IoU.light: 0.5141, IoU.truck: 0.1779, IoU.tower: 0.0700, IoU.chandelier: 0.6291, IoU.awning: 0.2312, IoU.streetlight: 0.2534, IoU.booth: 0.4110, IoU.television receiver: 0.6416, IoU.airplane: 0.5952, IoU.dirt track: 0.1978, IoU.apparel: 0.3361, IoU.pole: 0.1582, IoU.land: 0.0459, IoU.bannister: 0.1109, IoU.escalator: 0.2372, IoU.ottoman: 0.4158, IoU.bottle: 0.3590, IoU.buffet: 0.3851, IoU.poster: 0.2338, IoU.stage: 0.1304, IoU.van: 0.3772, IoU.ship: 0.7566, IoU.fountain: 0.2107, IoU.conveyer belt: 0.8521, IoU.canopy: 0.2310, IoU.washer: 0.7865, IoU.plaything: 0.2084, IoU.swimming pool: 0.7079, IoU.stool: 0.4323, IoU.barrel: 0.4686, IoU.basket: 0.2581, IoU.waterfall: 0.4882, IoU.tent: 0.9440, IoU.bag: 0.1464, IoU.minibike: 0.6155, IoU.cradle: 0.8383, IoU.oven: 0.4595, IoU.ball: 0.4346, IoU.food: 0.5232, IoU.step: 0.0335, IoU.tank: 0.4901, IoU.trade name: 0.2790, IoU.microwave: 0.7329, IoU.pot: 0.3053, IoU.animal: 0.5307, IoU.bicycle: 0.5294, IoU.lake: 0.5761, IoU.dishwasher: 0.6569, IoU.screen: 0.6805, IoU.blanket: 0.1736, IoU.sculpture: 0.5627, IoU.hood: 0.5761, IoU.sconce: 0.4098, IoU.vase: 0.3643, IoU.traffic light: 0.3221, IoU.tray: 0.0640, IoU.ashcan: 0.4178, IoU.fan: 0.5797, IoU.pier: 0.4549, IoU.crt screen: 0.0888, IoU.plate: 0.5084, IoU.monitor: 0.1829, IoU.bulletin board: 0.3859, IoU.shower: 0.0148, IoU.radiator: 0.6075, IoU.glass: 0.1208, IoU.clock: 0.3332, IoU.flag: 0.3443, Acc.background: nan, Acc.wall: 0.8883, Acc.building: 0.9188, Acc.sky: 0.9745, Acc.floor: 0.9109, Acc.tree: 0.8778, Acc.ceiling: 0.9329, Acc.road: 0.9012, Acc.bed : 0.9517, Acc.windowpane: 0.7800, Acc.grass: 0.8339, Acc.cabinet: 0.7188, Acc.sidewalk: 0.7953, Acc.person: 0.9203, Acc.earth: 0.4969, Acc.door: 0.5849, Acc.table: 0.7630, Acc.mountain: 0.7283, Acc.plant: 0.6010, Acc.curtain: 0.8399, Acc.chair: 0.6838, Acc.car: 0.9239, Acc.water: 0.7565, Acc.painting: 0.8485, Acc.sofa: 0.8215, Acc.shelf: 0.6106, Acc.house: 0.5879, Acc.sea: 0.7683, Acc.mirror: 0.7292, Acc.rug: 0.7376, Acc.field: 0.4500, Acc.armchair: 0.5401, Acc.seat: 0.8249, Acc.fence: 0.5329, Acc.desk: 0.6737, Acc.rock: 0.6029, Acc.wardrobe: 0.6864, Acc.lamp: 0.7426, Acc.bathtub: 0.8075, Acc.railing: 0.4632, Acc.cushion: 0.6818, Acc.base: 0.2467, Acc.box: 0.3062, Acc.column: 0.5559, Acc.signboard: 0.4945, Acc.chest of drawers: 0.5838, Acc.counter: 0.4015, Acc.sand: 0.5810, Acc.sink: 0.7776, Acc.skyscraper: 0.6180, Acc.fireplace: 0.8580, Acc.refrigerator: 0.8622, Acc.grandstand: 0.6589, Acc.path: 0.2949, Acc.stairs: 0.4145, Acc.runway: 0.8553, Acc.case: 0.5889, Acc.pool table: 0.9425, Acc.pillow: 0.7132, Acc.screen door: 0.7365, Acc.stairway: 0.3501, Acc.river: 0.2209, Acc.bridge: 0.3738, Acc.bookcase: 0.6390, Acc.blind: 0.4580, Acc.coffee table: 0.7664, Acc.toilet: 0.8949, Acc.flower: 0.5301, Acc.book: 0.6450, Acc.hill: 0.2143, Acc.bench: 0.5505, Acc.countertop: 0.7017, Acc.stove: 0.8057, Acc.palm: 0.6718, Acc.kitchen island: 0.6178, Acc.computer: 0.6888, Acc.swivel chair: 0.6027, Acc.boat: 0.8381, Acc.bar: 0.3091, Acc.arcade machine: 0.7465, Acc.hovel: 0.3415, Acc.bus: 0.9000, Acc.towel: 0.7253, Acc.light: 0.5677, Acc.truck: 0.2315, Acc.tower: 0.1121, Acc.chandelier: 0.7666, Acc.awning: 0.2634, Acc.streetlight: 0.3372, Acc.booth: 0.4241, Acc.television receiver: 0.7653, Acc.airplane: 0.6613, Acc.dirt track: 0.4728, Acc.apparel: 0.5337, Acc.pole: 0.2068, Acc.land: 0.0696, Acc.bannister: 0.1518, Acc.escalator: 0.2523, Acc.ottoman: 0.6188, Acc.bottle: 0.5730, Acc.buffet: 0.4518, Acc.poster: 0.3324, Acc.stage: 0.1665, Acc.van: 0.5325, Acc.ship: 0.9251, Acc.fountain: 0.2149, Acc.conveyer belt: 0.9028, Acc.canopy: 0.2484, Acc.washer: 0.7976, Acc.plaything: 0.2973, Acc.swimming pool: 0.8053, Acc.stool: 0.5622, Acc.barrel: 0.5626, Acc.basket: 0.3852, Acc.waterfall: 0.6411, Acc.tent: 0.9756, Acc.bag: 0.1818, Acc.minibike: 0.7261, Acc.cradle: 0.9602, Acc.oven: 0.6617, Acc.ball: 0.4988, Acc.food: 0.6298, Acc.step: 0.0349, Acc.tank: 0.5467, Acc.trade name: 0.3088, Acc.microwave: 0.7943, Acc.pot: 0.3481, Acc.animal: 0.5986, Acc.bicycle: 0.7150, Acc.lake: 0.6313, Acc.dishwasher: 0.7694, Acc.screen: 0.8018, Acc.blanket: 0.2028, Acc.sculpture: 0.7845, Acc.hood: 0.6462, Acc.sconce: 0.4869, Acc.vase: 0.4982, Acc.traffic light: 0.4745, Acc.tray: 0.0952, Acc.ashcan: 0.5274, Acc.fan: 0.6947, Acc.pier: 0.6476, Acc.crt screen: 0.2339, Acc.plate: 0.6768, Acc.monitor: 0.2190, Acc.bulletin board: 0.5080, Acc.shower: 0.0592, Acc.radiator: 0.6833, Acc.glass: 0.1311, Acc.clock: 0.3670, Acc.flag: 0.3876 +2023-03-04 15:23:32,598 - mmseg - INFO - Iter [64050/80000] lr: 2.344e-06, eta: 0:51:56, time: 0.501, data_time: 0.330, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.4850, loss: 0.2039 +2023-03-04 15:23:41,305 - mmseg - INFO - Iter [64100/80000] lr: 2.344e-06, eta: 0:51:46, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 92.1197, loss: 0.1921 +2023-03-04 15:23:50,279 - mmseg - INFO - Iter [64150/80000] lr: 2.344e-06, eta: 0:51:36, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2086, decode.acc_seg: 91.5027, loss: 0.2086 +2023-03-04 15:24:01,768 - mmseg - INFO - Iter [64200/80000] lr: 2.344e-06, eta: 0:51:27, time: 0.230, data_time: 0.054, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.7649, loss: 0.2024 +2023-03-04 15:24:10,793 - mmseg - INFO - Iter [64250/80000] lr: 2.344e-06, eta: 0:51:17, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.9164, loss: 0.1983 +2023-03-04 15:24:19,666 - mmseg - INFO - Iter [64300/80000] lr: 2.344e-06, eta: 0:51:07, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 91.9885, loss: 0.1947 +2023-03-04 15:24:28,451 - mmseg - INFO - Iter [64350/80000] lr: 2.344e-06, eta: 0:50:57, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2022, decode.acc_seg: 91.6464, loss: 0.2022 +2023-03-04 15:24:37,309 - mmseg - INFO - Iter [64400/80000] lr: 2.344e-06, eta: 0:50:46, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2057, decode.acc_seg: 91.6238, loss: 0.2057 +2023-03-04 15:24:46,267 - mmseg - INFO - Iter [64450/80000] lr: 2.344e-06, eta: 0:50:36, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1903, decode.acc_seg: 92.2041, loss: 0.1903 +2023-03-04 15:24:55,368 - mmseg - INFO - Iter [64500/80000] lr: 2.344e-06, eta: 0:50:27, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1973, decode.acc_seg: 92.0502, loss: 0.1973 +2023-03-04 15:25:04,127 - mmseg - INFO - Iter [64550/80000] lr: 2.344e-06, eta: 0:50:17, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.7044, loss: 0.1985 +2023-03-04 15:25:13,168 - mmseg - INFO - Iter [64600/80000] lr: 2.344e-06, eta: 0:50:07, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.7845, loss: 0.1966 +2023-03-04 15:25:22,205 - mmseg - INFO - Iter [64650/80000] lr: 2.344e-06, eta: 0:49:57, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.6908, loss: 0.1994 +2023-03-04 15:25:31,578 - mmseg - INFO - Iter [64700/80000] lr: 2.344e-06, eta: 0:49:47, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.8847, loss: 0.1967 +2023-03-04 15:25:40,441 - mmseg - INFO - Iter [64750/80000] lr: 2.344e-06, eta: 0:49:37, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1899, decode.acc_seg: 92.1184, loss: 0.1899 +2023-03-04 15:25:51,628 - mmseg - INFO - Iter [64800/80000] lr: 2.344e-06, eta: 0:49:27, time: 0.224, data_time: 0.058, memory: 52403, decode.loss_ce: 0.2011, decode.acc_seg: 91.7857, loss: 0.2011 +2023-03-04 15:26:00,301 - mmseg - INFO - Iter [64850/80000] lr: 2.344e-06, eta: 0:49:17, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.9713, loss: 0.1996 +2023-03-04 15:26:08,870 - mmseg - INFO - Iter [64900/80000] lr: 2.344e-06, eta: 0:49:07, time: 0.171, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1954, decode.acc_seg: 91.9257, loss: 0.1954 +2023-03-04 15:26:18,228 - mmseg - INFO - Iter [64950/80000] lr: 2.344e-06, eta: 0:48:57, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1856, decode.acc_seg: 92.2563, loss: 0.1856 +2023-03-04 15:26:27,211 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:26:27,211 - mmseg - INFO - Iter [65000/80000] lr: 2.344e-06, eta: 0:48:47, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2043, decode.acc_seg: 91.6387, loss: 0.2043 +2023-03-04 15:26:36,308 - mmseg - INFO - Iter [65050/80000] lr: 2.344e-06, eta: 0:48:37, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.9785, loss: 0.1981 +2023-03-04 15:26:45,050 - mmseg - INFO - Iter [65100/80000] lr: 2.344e-06, eta: 0:48:27, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2047, decode.acc_seg: 91.6313, loss: 0.2047 +2023-03-04 15:26:54,559 - mmseg - INFO - Iter [65150/80000] lr: 2.344e-06, eta: 0:48:18, time: 0.190, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.7216, loss: 0.2032 +2023-03-04 15:27:03,452 - mmseg - INFO - Iter [65200/80000] lr: 2.344e-06, eta: 0:48:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.8719, loss: 0.1989 +2023-03-04 15:27:12,353 - mmseg - INFO - Iter [65250/80000] lr: 2.344e-06, eta: 0:47:58, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.8027, loss: 0.1961 +2023-03-04 15:27:21,349 - mmseg - INFO - Iter [65300/80000] lr: 2.344e-06, eta: 0:47:48, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1895, decode.acc_seg: 92.2295, loss: 0.1895 +2023-03-04 15:27:30,229 - mmseg - INFO - Iter [65350/80000] lr: 2.344e-06, eta: 0:47:38, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2023, decode.acc_seg: 91.7319, loss: 0.2023 +2023-03-04 15:27:39,000 - mmseg - INFO - Iter [65400/80000] lr: 2.344e-06, eta: 0:47:28, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.7502, loss: 0.1979 +2023-03-04 15:27:50,295 - mmseg - INFO - Iter [65450/80000] lr: 2.344e-06, eta: 0:47:18, time: 0.226, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.9139, loss: 0.1961 +2023-03-04 15:27:59,384 - mmseg - INFO - Iter [65500/80000] lr: 2.344e-06, eta: 0:47:08, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1969, decode.acc_seg: 91.9380, loss: 0.1969 +2023-03-04 15:28:08,440 - mmseg - INFO - Iter [65550/80000] lr: 2.344e-06, eta: 0:46:58, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0780, loss: 0.1926 +2023-03-04 15:28:17,556 - mmseg - INFO - Iter [65600/80000] lr: 2.344e-06, eta: 0:46:49, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1939, decode.acc_seg: 92.0134, loss: 0.1939 +2023-03-04 15:28:26,347 - mmseg - INFO - Iter [65650/80000] lr: 2.344e-06, eta: 0:46:39, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.6824, loss: 0.2012 +2023-03-04 15:28:35,411 - mmseg - INFO - Iter [65700/80000] lr: 2.344e-06, eta: 0:46:29, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 91.9916, loss: 0.1921 +2023-03-04 15:28:44,315 - mmseg - INFO - Iter [65750/80000] lr: 2.344e-06, eta: 0:46:19, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.8752, loss: 0.1991 +2023-03-04 15:28:53,285 - mmseg - INFO - Iter [65800/80000] lr: 2.344e-06, eta: 0:46:09, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.5752, loss: 0.2010 +2023-03-04 15:29:02,374 - mmseg - INFO - Iter [65850/80000] lr: 2.344e-06, eta: 0:45:59, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.0757, loss: 0.1947 +2023-03-04 15:29:11,461 - mmseg - INFO - Iter [65900/80000] lr: 2.344e-06, eta: 0:45:49, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.9075, loss: 0.1982 +2023-03-04 15:29:20,356 - mmseg - INFO - Iter [65950/80000] lr: 2.344e-06, eta: 0:45:39, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.9991, loss: 0.1977 +2023-03-04 15:29:29,428 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:29:29,428 - mmseg - INFO - Iter [66000/80000] lr: 2.344e-06, eta: 0:45:29, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.7044, loss: 0.1995 +2023-03-04 15:29:38,497 - mmseg - INFO - Iter [66050/80000] lr: 2.344e-06, eta: 0:45:19, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.7684, loss: 0.2049 +2023-03-04 15:29:49,842 - mmseg - INFO - Iter [66100/80000] lr: 2.344e-06, eta: 0:45:10, time: 0.227, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7169, loss: 0.2014 +2023-03-04 15:29:58,748 - mmseg - INFO - Iter [66150/80000] lr: 2.344e-06, eta: 0:45:00, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1974, decode.acc_seg: 91.8595, loss: 0.1974 +2023-03-04 15:30:07,618 - mmseg - INFO - Iter [66200/80000] lr: 2.344e-06, eta: 0:44:50, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7116, loss: 0.2015 +2023-03-04 15:30:16,306 - mmseg - INFO - Iter [66250/80000] lr: 2.344e-06, eta: 0:44:40, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.9426, loss: 0.1948 +2023-03-04 15:30:25,224 - mmseg - INFO - Iter [66300/80000] lr: 2.344e-06, eta: 0:44:30, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2073, decode.acc_seg: 91.5644, loss: 0.2073 +2023-03-04 15:30:34,551 - mmseg - INFO - Iter [66350/80000] lr: 2.344e-06, eta: 0:44:20, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.0176, loss: 0.1909 +2023-03-04 15:30:43,196 - mmseg - INFO - Iter [66400/80000] lr: 2.344e-06, eta: 0:44:10, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1948, decode.acc_seg: 91.8736, loss: 0.1948 +2023-03-04 15:30:52,058 - mmseg - INFO - Iter [66450/80000] lr: 2.344e-06, eta: 0:44:00, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1927, decode.acc_seg: 92.0949, loss: 0.1927 +2023-03-04 15:31:00,871 - mmseg - INFO - Iter [66500/80000] lr: 2.344e-06, eta: 0:43:50, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 92.0143, loss: 0.1967 +2023-03-04 15:31:09,793 - mmseg - INFO - Iter [66550/80000] lr: 2.344e-06, eta: 0:43:40, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2026, decode.acc_seg: 91.6571, loss: 0.2026 +2023-03-04 15:31:18,940 - mmseg - INFO - Iter [66600/80000] lr: 2.344e-06, eta: 0:43:30, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 92.0374, loss: 0.1941 +2023-03-04 15:31:27,809 - mmseg - INFO - Iter [66650/80000] lr: 2.344e-06, eta: 0:43:20, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9814, loss: 0.1972 +2023-03-04 15:31:39,097 - mmseg - INFO - Iter [66700/80000] lr: 2.344e-06, eta: 0:43:11, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1914, decode.acc_seg: 92.0693, loss: 0.1914 +2023-03-04 15:31:48,392 - mmseg - INFO - Iter [66750/80000] lr: 2.344e-06, eta: 0:43:01, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 92.0658, loss: 0.1945 +2023-03-04 15:31:57,759 - mmseg - INFO - Iter [66800/80000] lr: 2.344e-06, eta: 0:42:51, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1984, decode.acc_seg: 91.8211, loss: 0.1984 +2023-03-04 15:32:06,594 - mmseg - INFO - Iter [66850/80000] lr: 2.344e-06, eta: 0:42:41, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1959, decode.acc_seg: 91.8885, loss: 0.1959 +2023-03-04 15:32:15,413 - mmseg - INFO - Iter [66900/80000] lr: 2.344e-06, eta: 0:42:31, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1955, decode.acc_seg: 91.8889, loss: 0.1955 +2023-03-04 15:32:24,545 - mmseg - INFO - Iter [66950/80000] lr: 2.344e-06, eta: 0:42:22, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 92.0215, loss: 0.1942 +2023-03-04 15:32:33,425 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:32:33,425 - mmseg - INFO - Iter [67000/80000] lr: 2.344e-06, eta: 0:42:12, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9885, loss: 0.1958 +2023-03-04 15:32:42,039 - mmseg - INFO - Iter [67050/80000] lr: 2.344e-06, eta: 0:42:02, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2050, decode.acc_seg: 91.6325, loss: 0.2050 +2023-03-04 15:32:50,653 - mmseg - INFO - Iter [67100/80000] lr: 2.344e-06, eta: 0:41:52, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2063, decode.acc_seg: 91.5707, loss: 0.2063 +2023-03-04 15:32:59,843 - mmseg - INFO - Iter [67150/80000] lr: 2.344e-06, eta: 0:41:42, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 92.0298, loss: 0.1970 +2023-03-04 15:33:08,984 - mmseg - INFO - Iter [67200/80000] lr: 2.344e-06, eta: 0:41:32, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9339, loss: 0.1976 +2023-03-04 15:33:18,075 - mmseg - INFO - Iter [67250/80000] lr: 2.344e-06, eta: 0:41:22, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.2523, loss: 0.1929 +2023-03-04 15:33:27,051 - mmseg - INFO - Iter [67300/80000] lr: 2.344e-06, eta: 0:41:12, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2027, decode.acc_seg: 91.8306, loss: 0.2027 +2023-03-04 15:33:38,408 - mmseg - INFO - Iter [67350/80000] lr: 2.344e-06, eta: 0:41:03, time: 0.227, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1910, decode.acc_seg: 92.1240, loss: 0.1910 +2023-03-04 15:33:47,188 - mmseg - INFO - Iter [67400/80000] lr: 2.344e-06, eta: 0:40:53, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1885, decode.acc_seg: 92.3093, loss: 0.1885 +2023-03-04 15:33:56,532 - mmseg - INFO - Iter [67450/80000] lr: 2.344e-06, eta: 0:40:43, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2038, decode.acc_seg: 91.5118, loss: 0.2038 +2023-03-04 15:34:05,607 - mmseg - INFO - Iter [67500/80000] lr: 2.344e-06, eta: 0:40:33, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2013, decode.acc_seg: 91.7578, loss: 0.2013 +2023-03-04 15:34:15,071 - mmseg - INFO - Iter [67550/80000] lr: 2.344e-06, eta: 0:40:23, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1928, decode.acc_seg: 92.0649, loss: 0.1928 +2023-03-04 15:34:24,020 - mmseg - INFO - Iter [67600/80000] lr: 2.344e-06, eta: 0:40:13, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.7507, loss: 0.1975 +2023-03-04 15:34:34,080 - mmseg - INFO - Iter [67650/80000] lr: 2.344e-06, eta: 0:40:04, time: 0.201, data_time: 0.008, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.9964, loss: 0.2002 +2023-03-04 15:34:43,055 - mmseg - INFO - Iter [67700/80000] lr: 2.344e-06, eta: 0:39:54, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 91.8860, loss: 0.1945 +2023-03-04 15:34:51,937 - mmseg - INFO - Iter [67750/80000] lr: 2.344e-06, eta: 0:39:44, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 92.0461, loss: 0.1925 +2023-03-04 15:35:00,887 - mmseg - INFO - Iter [67800/80000] lr: 2.344e-06, eta: 0:39:34, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2083, decode.acc_seg: 91.4543, loss: 0.2083 +2023-03-04 15:35:10,306 - mmseg - INFO - Iter [67850/80000] lr: 2.344e-06, eta: 0:39:24, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1899, decode.acc_seg: 92.1488, loss: 0.1899 +2023-03-04 15:35:19,225 - mmseg - INFO - Iter [67900/80000] lr: 2.344e-06, eta: 0:39:14, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.9053, loss: 0.1982 +2023-03-04 15:35:30,481 - mmseg - INFO - Iter [67950/80000] lr: 2.344e-06, eta: 0:39:05, time: 0.225, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.7269, loss: 0.1989 +2023-03-04 15:35:39,773 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:35:39,773 - mmseg - INFO - Iter [68000/80000] lr: 2.344e-06, eta: 0:38:55, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1885, decode.acc_seg: 92.1254, loss: 0.1885 +2023-03-04 15:35:48,922 - mmseg - INFO - Iter [68050/80000] lr: 2.344e-06, eta: 0:38:45, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.8672, loss: 0.1960 +2023-03-04 15:35:57,954 - mmseg - INFO - Iter [68100/80000] lr: 2.344e-06, eta: 0:38:35, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 92.0910, loss: 0.1930 +2023-03-04 15:36:06,607 - mmseg - INFO - Iter [68150/80000] lr: 2.344e-06, eta: 0:38:26, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1985, decode.acc_seg: 91.7332, loss: 0.1985 +2023-03-04 15:36:15,419 - mmseg - INFO - Iter [68200/80000] lr: 2.344e-06, eta: 0:38:16, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1980, decode.acc_seg: 91.8991, loss: 0.1980 +2023-03-04 15:36:24,207 - mmseg - INFO - Iter [68250/80000] lr: 2.344e-06, eta: 0:38:06, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.8922, loss: 0.1991 +2023-03-04 15:36:32,952 - mmseg - INFO - Iter [68300/80000] lr: 2.344e-06, eta: 0:37:56, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 91.9245, loss: 0.1933 +2023-03-04 15:36:41,682 - mmseg - INFO - Iter [68350/80000] lr: 2.344e-06, eta: 0:37:46, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7512, loss: 0.2014 +2023-03-04 15:36:50,887 - mmseg - INFO - Iter [68400/80000] lr: 2.344e-06, eta: 0:37:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 91.9804, loss: 0.1937 +2023-03-04 15:37:00,021 - mmseg - INFO - Iter [68450/80000] lr: 2.344e-06, eta: 0:37:26, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.6684, loss: 0.2031 +2023-03-04 15:37:08,848 - mmseg - INFO - Iter [68500/80000] lr: 2.344e-06, eta: 0:37:16, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.6890, loss: 0.2045 +2023-03-04 15:37:17,666 - mmseg - INFO - Iter [68550/80000] lr: 2.344e-06, eta: 0:37:06, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.8383, loss: 0.1949 +2023-03-04 15:37:28,747 - mmseg - INFO - Iter [68600/80000] lr: 2.344e-06, eta: 0:36:57, time: 0.222, data_time: 0.057, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 91.9942, loss: 0.1949 +2023-03-04 15:37:38,241 - mmseg - INFO - Iter [68650/80000] lr: 2.344e-06, eta: 0:36:47, time: 0.190, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 91.9060, loss: 0.1942 +2023-03-04 15:37:47,021 - mmseg - INFO - Iter [68700/80000] lr: 2.344e-06, eta: 0:36:37, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.0517, loss: 0.1909 +2023-03-04 15:37:55,829 - mmseg - INFO - Iter [68750/80000] lr: 2.344e-06, eta: 0:36:27, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.7178, loss: 0.2032 +2023-03-04 15:38:04,723 - mmseg - INFO - Iter [68800/80000] lr: 2.344e-06, eta: 0:36:18, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.9533, loss: 0.1950 +2023-03-04 15:38:13,607 - mmseg - INFO - Iter [68850/80000] lr: 2.344e-06, eta: 0:36:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1961, decode.acc_seg: 91.9892, loss: 0.1961 +2023-03-04 15:38:22,329 - mmseg - INFO - Iter [68900/80000] lr: 2.344e-06, eta: 0:35:58, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 92.0229, loss: 0.1950 +2023-03-04 15:38:31,127 - mmseg - INFO - Iter [68950/80000] lr: 2.344e-06, eta: 0:35:48, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1969, decode.acc_seg: 91.9912, loss: 0.1969 +2023-03-04 15:38:39,945 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:38:39,946 - mmseg - INFO - Iter [69000/80000] lr: 2.344e-06, eta: 0:35:38, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.8339, loss: 0.1964 +2023-03-04 15:38:48,896 - mmseg - INFO - Iter [69050/80000] lr: 2.344e-06, eta: 0:35:28, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.9424, loss: 0.1967 +2023-03-04 15:38:57,655 - mmseg - INFO - Iter [69100/80000] lr: 2.344e-06, eta: 0:35:18, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2032, decode.acc_seg: 91.6315, loss: 0.2032 +2023-03-04 15:39:06,373 - mmseg - INFO - Iter [69150/80000] lr: 2.344e-06, eta: 0:35:08, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.6587, loss: 0.2017 +2023-03-04 15:39:15,827 - mmseg - INFO - Iter [69200/80000] lr: 2.344e-06, eta: 0:34:59, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.7239, loss: 0.2006 +2023-03-04 15:39:27,119 - mmseg - INFO - Iter [69250/80000] lr: 2.344e-06, eta: 0:34:49, time: 0.226, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.8678, loss: 0.1990 +2023-03-04 15:39:36,177 - mmseg - INFO - Iter [69300/80000] lr: 2.344e-06, eta: 0:34:39, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1916, decode.acc_seg: 92.1535, loss: 0.1916 +2023-03-04 15:39:44,988 - mmseg - INFO - Iter [69350/80000] lr: 2.344e-06, eta: 0:34:29, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8816, loss: 0.1987 +2023-03-04 15:39:53,898 - mmseg - INFO - Iter [69400/80000] lr: 2.344e-06, eta: 0:34:20, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1982, decode.acc_seg: 91.8550, loss: 0.1982 +2023-03-04 15:40:03,331 - mmseg - INFO - Iter [69450/80000] lr: 2.344e-06, eta: 0:34:10, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.5654, loss: 0.2028 +2023-03-04 15:40:12,892 - mmseg - INFO - Iter [69500/80000] lr: 2.344e-06, eta: 0:34:00, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2009, decode.acc_seg: 91.9104, loss: 0.2009 +2023-03-04 15:40:22,229 - mmseg - INFO - Iter [69550/80000] lr: 2.344e-06, eta: 0:33:50, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.0420, loss: 0.1917 +2023-03-04 15:40:31,274 - mmseg - INFO - Iter [69600/80000] lr: 2.344e-06, eta: 0:33:40, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1964, decode.acc_seg: 91.9918, loss: 0.1964 +2023-03-04 15:40:40,530 - mmseg - INFO - Iter [69650/80000] lr: 2.344e-06, eta: 0:33:31, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2113, decode.acc_seg: 91.4930, loss: 0.2113 +2023-03-04 15:40:49,720 - mmseg - INFO - Iter [69700/80000] lr: 2.344e-06, eta: 0:33:21, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 92.0438, loss: 0.1937 +2023-03-04 15:40:58,499 - mmseg - INFO - Iter [69750/80000] lr: 2.344e-06, eta: 0:33:11, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2039, decode.acc_seg: 91.6901, loss: 0.2039 +2023-03-04 15:41:07,149 - mmseg - INFO - Iter [69800/80000] lr: 2.344e-06, eta: 0:33:01, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1922, decode.acc_seg: 91.9832, loss: 0.1922 +2023-03-04 15:41:18,742 - mmseg - INFO - Iter [69850/80000] lr: 2.344e-06, eta: 0:32:52, time: 0.232, data_time: 0.052, memory: 52403, decode.loss_ce: 0.1994, decode.acc_seg: 91.8951, loss: 0.1994 +2023-03-04 15:41:27,739 - mmseg - INFO - Iter [69900/80000] lr: 2.344e-06, eta: 0:32:42, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1893, decode.acc_seg: 92.2596, loss: 0.1893 +2023-03-04 15:41:37,130 - mmseg - INFO - Iter [69950/80000] lr: 2.344e-06, eta: 0:32:32, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.5160, loss: 0.2040 +2023-03-04 15:41:46,057 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:41:46,057 - mmseg - INFO - Iter [70000/80000] lr: 2.344e-06, eta: 0:32:22, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2033, decode.acc_seg: 91.6151, loss: 0.2033 +2023-03-04 15:41:54,913 - mmseg - INFO - Iter [70050/80000] lr: 1.172e-06, eta: 0:32:12, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.0047, loss: 0.1926 +2023-03-04 15:42:03,778 - mmseg - INFO - Iter [70100/80000] lr: 1.172e-06, eta: 0:32:03, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.7195, loss: 0.2017 +2023-03-04 15:42:12,959 - mmseg - INFO - Iter [70150/80000] lr: 1.172e-06, eta: 0:31:53, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1281, loss: 0.1920 +2023-03-04 15:42:21,559 - mmseg - INFO - Iter [70200/80000] lr: 1.172e-06, eta: 0:31:43, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1848, decode.acc_seg: 92.2455, loss: 0.1848 +2023-03-04 15:42:30,472 - mmseg - INFO - Iter [70250/80000] lr: 1.172e-06, eta: 0:31:33, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.0642, loss: 0.1947 +2023-03-04 15:42:39,327 - mmseg - INFO - Iter [70300/80000] lr: 1.172e-06, eta: 0:31:23, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 92.0087, loss: 0.1946 +2023-03-04 15:42:48,506 - mmseg - INFO - Iter [70350/80000] lr: 1.172e-06, eta: 0:31:13, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2056, decode.acc_seg: 91.8152, loss: 0.2056 +2023-03-04 15:42:57,433 - mmseg - INFO - Iter [70400/80000] lr: 1.172e-06, eta: 0:31:04, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2010, decode.acc_seg: 91.6696, loss: 0.2010 +2023-03-04 15:43:06,146 - mmseg - INFO - Iter [70450/80000] lr: 1.172e-06, eta: 0:30:54, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2035, decode.acc_seg: 91.7007, loss: 0.2035 +2023-03-04 15:43:17,356 - mmseg - INFO - Iter [70500/80000] lr: 1.172e-06, eta: 0:30:44, time: 0.224, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.0594, loss: 0.1909 +2023-03-04 15:43:26,155 - mmseg - INFO - Iter [70550/80000] lr: 1.172e-06, eta: 0:30:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.8597, loss: 0.1976 +2023-03-04 15:43:34,795 - mmseg - INFO - Iter [70600/80000] lr: 1.172e-06, eta: 0:30:24, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 91.9294, loss: 0.1924 +2023-03-04 15:43:43,711 - mmseg - INFO - Iter [70650/80000] lr: 1.172e-06, eta: 0:30:15, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.7848, loss: 0.1991 +2023-03-04 15:43:53,196 - mmseg - INFO - Iter [70700/80000] lr: 1.172e-06, eta: 0:30:05, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.8448, loss: 0.1966 +2023-03-04 15:44:02,089 - mmseg - INFO - Iter [70750/80000] lr: 1.172e-06, eta: 0:29:55, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.8628, loss: 0.1977 +2023-03-04 15:44:11,393 - mmseg - INFO - Iter [70800/80000] lr: 1.172e-06, eta: 0:29:45, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.8498, loss: 0.1979 +2023-03-04 15:44:20,890 - mmseg - INFO - Iter [70850/80000] lr: 1.172e-06, eta: 0:29:36, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.0607, loss: 0.1912 +2023-03-04 15:44:29,764 - mmseg - INFO - Iter [70900/80000] lr: 1.172e-06, eta: 0:29:26, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1939, decode.acc_seg: 92.0944, loss: 0.1939 +2023-03-04 15:44:38,580 - mmseg - INFO - Iter [70950/80000] lr: 1.172e-06, eta: 0:29:16, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2012, decode.acc_seg: 91.8595, loss: 0.2012 +2023-03-04 15:44:47,826 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:44:47,826 - mmseg - INFO - Iter [71000/80000] lr: 1.172e-06, eta: 0:29:06, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1915, decode.acc_seg: 92.1139, loss: 0.1915 +2023-03-04 15:44:56,490 - mmseg - INFO - Iter [71050/80000] lr: 1.172e-06, eta: 0:28:56, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1907, decode.acc_seg: 92.1691, loss: 0.1907 +2023-03-04 15:45:07,638 - mmseg - INFO - Iter [71100/80000] lr: 1.172e-06, eta: 0:28:47, time: 0.223, data_time: 0.056, memory: 52403, decode.loss_ce: 0.2004, decode.acc_seg: 91.7515, loss: 0.2004 +2023-03-04 15:45:16,486 - mmseg - INFO - Iter [71150/80000] lr: 1.172e-06, eta: 0:28:37, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.6964, loss: 0.2015 +2023-03-04 15:45:25,909 - mmseg - INFO - Iter [71200/80000] lr: 1.172e-06, eta: 0:28:27, time: 0.188, data_time: 0.006, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 92.0023, loss: 0.1950 +2023-03-04 15:45:35,334 - mmseg - INFO - Iter [71250/80000] lr: 1.172e-06, eta: 0:28:17, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1958, decode.acc_seg: 91.9996, loss: 0.1958 +2023-03-04 15:45:44,257 - mmseg - INFO - Iter [71300/80000] lr: 1.172e-06, eta: 0:28:08, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2068, decode.acc_seg: 91.4881, loss: 0.2068 +2023-03-04 15:45:53,269 - mmseg - INFO - Iter [71350/80000] lr: 1.172e-06, eta: 0:27:58, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2061, decode.acc_seg: 91.6719, loss: 0.2061 +2023-03-04 15:46:02,278 - mmseg - INFO - Iter [71400/80000] lr: 1.172e-06, eta: 0:27:48, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.7569, loss: 0.1997 +2023-03-04 15:46:11,151 - mmseg - INFO - Iter [71450/80000] lr: 1.172e-06, eta: 0:27:38, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1973, decode.acc_seg: 91.9240, loss: 0.1973 +2023-03-04 15:46:20,183 - mmseg - INFO - Iter [71500/80000] lr: 1.172e-06, eta: 0:27:28, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.7974, loss: 0.1987 +2023-03-04 15:46:29,575 - mmseg - INFO - Iter [71550/80000] lr: 1.172e-06, eta: 0:27:19, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 91.9136, loss: 0.1924 +2023-03-04 15:46:38,697 - mmseg - INFO - Iter [71600/80000] lr: 1.172e-06, eta: 0:27:09, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.9434, loss: 0.1967 +2023-03-04 15:46:47,749 - mmseg - INFO - Iter [71650/80000] lr: 1.172e-06, eta: 0:26:59, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.7868, loss: 0.1975 +2023-03-04 15:46:56,526 - mmseg - INFO - Iter [71700/80000] lr: 1.172e-06, eta: 0:26:49, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.1001, loss: 0.1947 +2023-03-04 15:47:08,218 - mmseg - INFO - Iter [71750/80000] lr: 1.172e-06, eta: 0:26:40, time: 0.234, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.9543, loss: 0.1988 +2023-03-04 15:47:17,681 - mmseg - INFO - Iter [71800/80000] lr: 1.172e-06, eta: 0:26:30, time: 0.189, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.9620, loss: 0.1979 +2023-03-04 15:47:26,614 - mmseg - INFO - Iter [71850/80000] lr: 1.172e-06, eta: 0:26:20, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.0472, loss: 0.1902 +2023-03-04 15:47:35,729 - mmseg - INFO - Iter [71900/80000] lr: 1.172e-06, eta: 0:26:11, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.9339, loss: 0.1992 +2023-03-04 15:47:44,453 - mmseg - INFO - Iter [71950/80000] lr: 1.172e-06, eta: 0:26:01, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2087, decode.acc_seg: 91.5325, loss: 0.2087 +2023-03-04 15:47:53,150 - mmseg - INFO - Saving checkpoint at 72000 iterations +2023-03-04 15:47:53,792 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:47:53,792 - mmseg - INFO - Iter [72000/80000] lr: 1.172e-06, eta: 0:25:51, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 91.9552, loss: 0.1947 +2023-03-04 15:48:09,247 - mmseg - INFO - per class results: +2023-03-04 15:48:09,253 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.21 | 89.21 | +| building | 81.43 | 91.92 | +| sky | 94.42 | 97.37 | +| floor | 81.25 | 91.06 | +| tree | 73.93 | 87.61 | +| ceiling | 85.12 | 93.02 | +| road | 81.85 | 90.08 | +| bed | 87.43 | 95.34 | +| windowpane | 60.27 | 77.8 | +| grass | 66.97 | 83.68 | +| cabinet | 59.93 | 72.59 | +| sidewalk | 63.86 | 79.39 | +| person | 79.16 | 92.26 | +| earth | 35.52 | 49.2 | +| door | 45.13 | 58.39 | +| table | 60.03 | 75.91 | +| mountain | 57.95 | 72.66 | +| plant | 49.38 | 60.9 | +| curtain | 73.16 | 82.84 | +| chair | 55.9 | 68.48 | +| car | 80.97 | 92.26 | +| water | 57.64 | 75.99 | +| painting | 70.35 | 85.12 | +| sofa | 63.36 | 82.14 | +| shelf | 43.66 | 62.93 | +| house | 41.65 | 56.27 | +| sea | 60.47 | 76.72 | +| mirror | 65.18 | 73.52 | +| rug | 64.38 | 72.62 | +| field | 30.78 | 45.25 | +| armchair | 36.94 | 53.17 | +| seat | 65.86 | 82.69 | +| fence | 40.78 | 54.25 | +| desk | 45.78 | 67.38 | +| rock | 37.13 | 60.35 | +| wardrobe | 56.0 | 68.0 | +| lamp | 59.95 | 73.12 | +| bathtub | 73.78 | 81.12 | +| railing | 33.4 | 46.49 | +| cushion | 56.14 | 69.33 | +| base | 19.55 | 23.93 | +| box | 23.46 | 31.51 | +| column | 45.19 | 56.1 | +| signboard | 37.49 | 50.41 | +| chest of drawers | 35.95 | 56.44 | +| counter | 30.85 | 40.79 | +| sand | 41.85 | 57.53 | +| sink | 66.67 | 77.73 | +| skyscraper | 48.31 | 60.76 | +| fireplace | 72.91 | 85.78 | +| refrigerator | 74.06 | 85.44 | +| grandstand | 54.28 | 65.08 | +| path | 22.18 | 30.37 | +| stairs | 33.28 | 41.8 | +| runway | 66.61 | 85.4 | +| case | 47.3 | 57.1 | +| pool table | 91.49 | 94.33 | +| pillow | 59.99 | 69.42 | +| screen door | 67.74 | 73.37 | +| stairway | 23.37 | 35.45 | +| river | 11.84 | 21.85 | +| bridge | 33.37 | 38.51 | +| bookcase | 45.16 | 63.92 | +| blind | 39.68 | 45.21 | +| coffee table | 52.66 | 77.63 | +| toilet | 83.29 | 89.29 | +| flower | 38.16 | 52.69 | +| book | 43.65 | 64.87 | +| hill | 15.09 | 22.83 | +| bench | 42.09 | 55.11 | +| countertop | 52.74 | 71.27 | +| stove | 69.83 | 80.34 | +| palm | 47.96 | 67.89 | +| kitchen island | 39.78 | 62.01 | +| computer | 59.67 | 68.75 | +| swivel chair | 44.55 | 59.99 | +| boat | 68.82 | 83.41 | +| bar | 23.54 | 31.69 | +| arcade machine | 70.94 | 73.56 | +| hovel | 32.01 | 35.74 | +| bus | 78.17 | 90.4 | +| towel | 62.73 | 72.26 | +| light | 52.71 | 59.2 | +| truck | 17.88 | 23.65 | +| tower | 6.69 | 10.69 | +| chandelier | 62.98 | 77.95 | +| awning | 23.59 | 27.36 | +| streetlight | 25.17 | 33.07 | +| booth | 41.87 | 43.67 | +| television receiver | 64.28 | 75.67 | +| airplane | 58.56 | 64.35 | +| dirt track | 20.08 | 47.25 | +| apparel | 34.26 | 53.35 | +| pole | 16.14 | 21.16 | +| land | 4.1 | 5.94 | +| bannister | 11.27 | 15.39 | +| escalator | 23.32 | 24.66 | +| ottoman | 41.91 | 60.24 | +| bottle | 36.04 | 57.91 | +| buffet | 36.47 | 42.3 | +| poster | 23.3 | 33.49 | +| stage | 13.15 | 16.82 | +| van | 38.05 | 53.93 | +| ship | 75.86 | 91.31 | +| fountain | 21.22 | 21.61 | +| conveyer belt | 85.18 | 89.99 | +| canopy | 22.27 | 23.63 | +| washer | 76.53 | 77.45 | +| plaything | 20.58 | 29.11 | +| swimming pool | 71.91 | 79.75 | +| stool | 43.04 | 57.48 | +| barrel | 46.48 | 57.65 | +| basket | 25.78 | 37.69 | +| waterfall | 47.82 | 62.97 | +| tent | 94.62 | 97.52 | +| bag | 13.92 | 17.09 | +| minibike | 61.77 | 72.49 | +| cradle | 84.52 | 95.52 | +| oven | 46.0 | 66.18 | +| ball | 42.78 | 49.01 | +| food | 52.19 | 62.03 | +| step | 3.7 | 3.95 | +| tank | 49.09 | 53.83 | +| trade name | 28.92 | 33.21 | +| microwave | 73.71 | 79.42 | +| pot | 30.72 | 35.17 | +| animal | 53.09 | 59.98 | +| bicycle | 53.26 | 72.39 | +| lake | 57.77 | 63.32 | +| dishwasher | 65.59 | 76.67 | +| screen | 68.58 | 79.36 | +| blanket | 17.71 | 20.56 | +| sculpture | 56.06 | 78.77 | +| hood | 57.6 | 63.6 | +| sconce | 41.15 | 49.41 | +| vase | 36.72 | 50.63 | +| traffic light | 32.21 | 47.67 | +| tray | 6.63 | 10.13 | +| ashcan | 41.75 | 52.15 | +| fan | 58.26 | 69.13 | +| pier | 45.73 | 64.32 | +| crt screen | 9.17 | 24.3 | +| plate | 50.69 | 66.51 | +| monitor | 17.41 | 20.59 | +| bulletin board | 39.25 | 51.59 | +| shower | 1.5 | 5.82 | +| radiator | 60.49 | 68.07 | +| glass | 12.35 | 13.62 | +| clock | 32.72 | 36.04 | +| flag | 34.43 | 38.04 | ++---------------------+-------+-------+ +2023-03-04 15:48:09,253 - mmseg - INFO - Summary: +2023-03-04 15:48:09,254 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.58 | 47.95 | 58.81 | ++-------+-------+-------+ +2023-03-04 15:48:09,276 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_64000.pth was removed +2023-03-04 15:48:09,869 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_72000.pth. +2023-03-04 15:48:09,869 - mmseg - INFO - Best mIoU is 0.4795 at 72000 iter. +2023-03-04 15:48:09,869 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:48:09,870 - mmseg - INFO - Iter(val) [250] aAcc: 0.8258, mIoU: 0.4795, mAcc: 0.5881, IoU.background: nan, IoU.wall: 0.7721, IoU.building: 0.8143, IoU.sky: 0.9442, IoU.floor: 0.8125, IoU.tree: 0.7393, IoU.ceiling: 0.8512, IoU.road: 0.8185, IoU.bed : 0.8743, IoU.windowpane: 0.6027, IoU.grass: 0.6697, IoU.cabinet: 0.5993, IoU.sidewalk: 0.6386, IoU.person: 0.7916, IoU.earth: 0.3552, IoU.door: 0.4513, IoU.table: 0.6003, IoU.mountain: 0.5795, IoU.plant: 0.4938, IoU.curtain: 0.7316, IoU.chair: 0.5590, IoU.car: 0.8097, IoU.water: 0.5764, IoU.painting: 0.7035, IoU.sofa: 0.6336, IoU.shelf: 0.4366, IoU.house: 0.4165, IoU.sea: 0.6047, IoU.mirror: 0.6518, IoU.rug: 0.6438, IoU.field: 0.3078, IoU.armchair: 0.3694, IoU.seat: 0.6586, IoU.fence: 0.4078, IoU.desk: 0.4578, IoU.rock: 0.3713, IoU.wardrobe: 0.5600, IoU.lamp: 0.5995, IoU.bathtub: 0.7378, IoU.railing: 0.3340, IoU.cushion: 0.5614, IoU.base: 0.1955, IoU.box: 0.2346, IoU.column: 0.4519, IoU.signboard: 0.3749, IoU.chest of drawers: 0.3595, IoU.counter: 0.3085, IoU.sand: 0.4185, IoU.sink: 0.6667, IoU.skyscraper: 0.4831, IoU.fireplace: 0.7291, IoU.refrigerator: 0.7406, IoU.grandstand: 0.5428, IoU.path: 0.2218, IoU.stairs: 0.3328, IoU.runway: 0.6661, IoU.case: 0.4730, IoU.pool table: 0.9149, IoU.pillow: 0.5999, IoU.screen door: 0.6774, IoU.stairway: 0.2337, IoU.river: 0.1184, IoU.bridge: 0.3337, IoU.bookcase: 0.4516, IoU.blind: 0.3968, IoU.coffee table: 0.5266, IoU.toilet: 0.8329, IoU.flower: 0.3816, IoU.book: 0.4365, IoU.hill: 0.1509, IoU.bench: 0.4209, IoU.countertop: 0.5274, IoU.stove: 0.6983, IoU.palm: 0.4796, IoU.kitchen island: 0.3978, IoU.computer: 0.5967, IoU.swivel chair: 0.4455, IoU.boat: 0.6882, IoU.bar: 0.2354, IoU.arcade machine: 0.7094, IoU.hovel: 0.3201, IoU.bus: 0.7817, IoU.towel: 0.6273, IoU.light: 0.5271, IoU.truck: 0.1788, IoU.tower: 0.0669, IoU.chandelier: 0.6298, IoU.awning: 0.2359, IoU.streetlight: 0.2517, IoU.booth: 0.4187, IoU.television receiver: 0.6428, IoU.airplane: 0.5856, IoU.dirt track: 0.2008, IoU.apparel: 0.3426, IoU.pole: 0.1614, IoU.land: 0.0410, IoU.bannister: 0.1127, IoU.escalator: 0.2332, IoU.ottoman: 0.4191, IoU.bottle: 0.3604, IoU.buffet: 0.3647, IoU.poster: 0.2330, IoU.stage: 0.1315, IoU.van: 0.3805, IoU.ship: 0.7586, IoU.fountain: 0.2122, IoU.conveyer belt: 0.8518, IoU.canopy: 0.2227, IoU.washer: 0.7653, IoU.plaything: 0.2058, IoU.swimming pool: 0.7191, IoU.stool: 0.4304, IoU.barrel: 0.4648, IoU.basket: 0.2578, IoU.waterfall: 0.4782, IoU.tent: 0.9462, IoU.bag: 0.1392, IoU.minibike: 0.6177, IoU.cradle: 0.8452, IoU.oven: 0.4600, IoU.ball: 0.4278, IoU.food: 0.5219, IoU.step: 0.0370, IoU.tank: 0.4909, IoU.trade name: 0.2892, IoU.microwave: 0.7371, IoU.pot: 0.3072, IoU.animal: 0.5309, IoU.bicycle: 0.5326, IoU.lake: 0.5777, IoU.dishwasher: 0.6559, IoU.screen: 0.6858, IoU.blanket: 0.1771, IoU.sculpture: 0.5606, IoU.hood: 0.5760, IoU.sconce: 0.4115, IoU.vase: 0.3672, IoU.traffic light: 0.3221, IoU.tray: 0.0663, IoU.ashcan: 0.4175, IoU.fan: 0.5826, IoU.pier: 0.4573, IoU.crt screen: 0.0917, IoU.plate: 0.5069, IoU.monitor: 0.1741, IoU.bulletin board: 0.3925, IoU.shower: 0.0150, IoU.radiator: 0.6049, IoU.glass: 0.1235, IoU.clock: 0.3272, IoU.flag: 0.3443, Acc.background: nan, Acc.wall: 0.8921, Acc.building: 0.9192, Acc.sky: 0.9737, Acc.floor: 0.9106, Acc.tree: 0.8761, Acc.ceiling: 0.9302, Acc.road: 0.9008, Acc.bed : 0.9534, Acc.windowpane: 0.7780, Acc.grass: 0.8368, Acc.cabinet: 0.7259, Acc.sidewalk: 0.7939, Acc.person: 0.9226, Acc.earth: 0.4920, Acc.door: 0.5839, Acc.table: 0.7591, Acc.mountain: 0.7266, Acc.plant: 0.6090, Acc.curtain: 0.8284, Acc.chair: 0.6848, Acc.car: 0.9226, Acc.water: 0.7599, Acc.painting: 0.8512, Acc.sofa: 0.8214, Acc.shelf: 0.6293, Acc.house: 0.5627, Acc.sea: 0.7672, Acc.mirror: 0.7352, Acc.rug: 0.7262, Acc.field: 0.4525, Acc.armchair: 0.5317, Acc.seat: 0.8269, Acc.fence: 0.5425, Acc.desk: 0.6738, Acc.rock: 0.6035, Acc.wardrobe: 0.6800, Acc.lamp: 0.7312, Acc.bathtub: 0.8112, Acc.railing: 0.4649, Acc.cushion: 0.6933, Acc.base: 0.2393, Acc.box: 0.3151, Acc.column: 0.5610, Acc.signboard: 0.5041, Acc.chest of drawers: 0.5644, Acc.counter: 0.4079, Acc.sand: 0.5753, Acc.sink: 0.7773, Acc.skyscraper: 0.6076, Acc.fireplace: 0.8578, Acc.refrigerator: 0.8544, Acc.grandstand: 0.6508, Acc.path: 0.3037, Acc.stairs: 0.4180, Acc.runway: 0.8540, Acc.case: 0.5710, Acc.pool table: 0.9433, Acc.pillow: 0.6942, Acc.screen door: 0.7337, Acc.stairway: 0.3545, Acc.river: 0.2185, Acc.bridge: 0.3851, Acc.bookcase: 0.6392, Acc.blind: 0.4521, Acc.coffee table: 0.7763, Acc.toilet: 0.8929, Acc.flower: 0.5269, Acc.book: 0.6487, Acc.hill: 0.2283, Acc.bench: 0.5511, Acc.countertop: 0.7127, Acc.stove: 0.8034, Acc.palm: 0.6789, Acc.kitchen island: 0.6201, Acc.computer: 0.6875, Acc.swivel chair: 0.5999, Acc.boat: 0.8341, Acc.bar: 0.3169, Acc.arcade machine: 0.7356, Acc.hovel: 0.3574, Acc.bus: 0.9040, Acc.towel: 0.7226, Acc.light: 0.5920, Acc.truck: 0.2365, Acc.tower: 0.1069, Acc.chandelier: 0.7795, Acc.awning: 0.2736, Acc.streetlight: 0.3307, Acc.booth: 0.4367, Acc.television receiver: 0.7567, Acc.airplane: 0.6435, Acc.dirt track: 0.4725, Acc.apparel: 0.5335, Acc.pole: 0.2116, Acc.land: 0.0594, Acc.bannister: 0.1539, Acc.escalator: 0.2466, Acc.ottoman: 0.6024, Acc.bottle: 0.5791, Acc.buffet: 0.4230, Acc.poster: 0.3349, Acc.stage: 0.1682, Acc.van: 0.5393, Acc.ship: 0.9131, Acc.fountain: 0.2161, Acc.conveyer belt: 0.8999, Acc.canopy: 0.2363, Acc.washer: 0.7745, Acc.plaything: 0.2911, Acc.swimming pool: 0.7975, Acc.stool: 0.5748, Acc.barrel: 0.5765, Acc.basket: 0.3769, Acc.waterfall: 0.6297, Acc.tent: 0.9752, Acc.bag: 0.1709, Acc.minibike: 0.7249, Acc.cradle: 0.9552, Acc.oven: 0.6618, Acc.ball: 0.4901, Acc.food: 0.6203, Acc.step: 0.0395, Acc.tank: 0.5383, Acc.trade name: 0.3321, Acc.microwave: 0.7942, Acc.pot: 0.3517, Acc.animal: 0.5998, Acc.bicycle: 0.7239, Acc.lake: 0.6332, Acc.dishwasher: 0.7667, Acc.screen: 0.7936, Acc.blanket: 0.2056, Acc.sculpture: 0.7877, Acc.hood: 0.6360, Acc.sconce: 0.4941, Acc.vase: 0.5063, Acc.traffic light: 0.4767, Acc.tray: 0.1013, Acc.ashcan: 0.5215, Acc.fan: 0.6913, Acc.pier: 0.6432, Acc.crt screen: 0.2430, Acc.plate: 0.6651, Acc.monitor: 0.2059, Acc.bulletin board: 0.5159, Acc.shower: 0.0582, Acc.radiator: 0.6807, Acc.glass: 0.1362, Acc.clock: 0.3604, Acc.flag: 0.3804 +2023-03-04 15:48:18,933 - mmseg - INFO - Iter [72050/80000] lr: 1.172e-06, eta: 0:25:43, time: 0.503, data_time: 0.329, memory: 52403, decode.loss_ce: 0.1999, decode.acc_seg: 91.7424, loss: 0.1999 +2023-03-04 15:48:27,689 - mmseg - INFO - Iter [72100/80000] lr: 1.172e-06, eta: 0:25:33, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.7442, loss: 0.2020 +2023-03-04 15:48:36,730 - mmseg - INFO - Iter [72150/80000] lr: 1.172e-06, eta: 0:25:24, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2075, decode.acc_seg: 91.4623, loss: 0.2075 +2023-03-04 15:48:45,804 - mmseg - INFO - Iter [72200/80000] lr: 1.172e-06, eta: 0:25:14, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 92.1105, loss: 0.1933 +2023-03-04 15:48:54,590 - mmseg - INFO - Iter [72250/80000] lr: 1.172e-06, eta: 0:25:04, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1917, decode.acc_seg: 92.1097, loss: 0.1917 +2023-03-04 15:49:03,366 - mmseg - INFO - Iter [72300/80000] lr: 1.172e-06, eta: 0:24:54, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7514, loss: 0.2014 +2023-03-04 15:49:12,123 - mmseg - INFO - Iter [72350/80000] lr: 1.172e-06, eta: 0:24:44, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1981, decode.acc_seg: 91.8515, loss: 0.1981 +2023-03-04 15:49:23,817 - mmseg - INFO - Iter [72400/80000] lr: 1.172e-06, eta: 0:24:35, time: 0.234, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1989, decode.acc_seg: 91.7304, loss: 0.1989 +2023-03-04 15:49:32,710 - mmseg - INFO - Iter [72450/80000] lr: 1.172e-06, eta: 0:24:25, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1898, decode.acc_seg: 92.2615, loss: 0.1898 +2023-03-04 15:49:41,718 - mmseg - INFO - Iter [72500/80000] lr: 1.172e-06, eta: 0:24:15, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.0803, loss: 0.1902 +2023-03-04 15:49:50,537 - mmseg - INFO - Iter [72550/80000] lr: 1.172e-06, eta: 0:24:06, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1990, decode.acc_seg: 91.9450, loss: 0.1990 +2023-03-04 15:49:59,283 - mmseg - INFO - Iter [72600/80000] lr: 1.172e-06, eta: 0:23:56, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2025, decode.acc_seg: 91.6029, loss: 0.2025 +2023-03-04 15:50:08,405 - mmseg - INFO - Iter [72650/80000] lr: 1.172e-06, eta: 0:23:46, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1930, decode.acc_seg: 91.9644, loss: 0.1930 +2023-03-04 15:50:17,606 - mmseg - INFO - Iter [72700/80000] lr: 1.172e-06, eta: 0:23:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1874, decode.acc_seg: 92.2386, loss: 0.1874 +2023-03-04 15:50:26,493 - mmseg - INFO - Iter [72750/80000] lr: 1.172e-06, eta: 0:23:26, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 92.0491, loss: 0.1960 +2023-03-04 15:50:35,805 - mmseg - INFO - Iter [72800/80000] lr: 1.172e-06, eta: 0:23:17, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1914, decode.acc_seg: 91.9309, loss: 0.1914 +2023-03-04 15:50:45,406 - mmseg - INFO - Iter [72850/80000] lr: 1.172e-06, eta: 0:23:07, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1971, decode.acc_seg: 91.8633, loss: 0.1971 +2023-03-04 15:50:54,194 - mmseg - INFO - Iter [72900/80000] lr: 1.172e-06, eta: 0:22:57, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1879, decode.acc_seg: 92.1971, loss: 0.1879 +2023-03-04 15:51:03,132 - mmseg - INFO - Iter [72950/80000] lr: 1.172e-06, eta: 0:22:47, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2024, decode.acc_seg: 91.8824, loss: 0.2024 +2023-03-04 15:51:14,509 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:51:14,509 - mmseg - INFO - Iter [73000/80000] lr: 1.172e-06, eta: 0:22:38, time: 0.228, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1935, decode.acc_seg: 92.0729, loss: 0.1935 +2023-03-04 15:51:23,299 - mmseg - INFO - Iter [73050/80000] lr: 1.172e-06, eta: 0:22:28, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.7966, loss: 0.2006 +2023-03-04 15:51:32,438 - mmseg - INFO - Iter [73100/80000] lr: 1.172e-06, eta: 0:22:18, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 91.9581, loss: 0.1940 +2023-03-04 15:51:41,335 - mmseg - INFO - Iter [73150/80000] lr: 1.172e-06, eta: 0:22:08, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.9297, loss: 0.1970 +2023-03-04 15:51:50,642 - mmseg - INFO - Iter [73200/80000] lr: 1.172e-06, eta: 0:21:59, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1970, decode.acc_seg: 91.8443, loss: 0.1970 +2023-03-04 15:51:59,556 - mmseg - INFO - Iter [73250/80000] lr: 1.172e-06, eta: 0:21:49, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2078, decode.acc_seg: 91.6420, loss: 0.2078 +2023-03-04 15:52:08,797 - mmseg - INFO - Iter [73300/80000] lr: 1.172e-06, eta: 0:21:39, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1957, decode.acc_seg: 92.1000, loss: 0.1957 +2023-03-04 15:52:17,872 - mmseg - INFO - Iter [73350/80000] lr: 1.172e-06, eta: 0:21:29, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 92.0000, loss: 0.1937 +2023-03-04 15:52:27,051 - mmseg - INFO - Iter [73400/80000] lr: 1.172e-06, eta: 0:21:20, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1904, decode.acc_seg: 92.1166, loss: 0.1904 +2023-03-04 15:52:35,855 - mmseg - INFO - Iter [73450/80000] lr: 1.172e-06, eta: 0:21:10, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 92.0924, loss: 0.1941 +2023-03-04 15:52:44,608 - mmseg - INFO - Iter [73500/80000] lr: 1.172e-06, eta: 0:21:00, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8576, loss: 0.1987 +2023-03-04 15:52:53,430 - mmseg - INFO - Iter [73550/80000] lr: 1.172e-06, eta: 0:20:50, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.5719, loss: 0.2021 +2023-03-04 15:53:02,520 - mmseg - INFO - Iter [73600/80000] lr: 1.172e-06, eta: 0:20:41, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2085, decode.acc_seg: 91.5397, loss: 0.2085 +2023-03-04 15:53:13,925 - mmseg - INFO - Iter [73650/80000] lr: 1.172e-06, eta: 0:20:31, time: 0.228, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1867, decode.acc_seg: 92.3438, loss: 0.1867 +2023-03-04 15:53:22,816 - mmseg - INFO - Iter [73700/80000] lr: 1.172e-06, eta: 0:20:21, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.7699, loss: 0.1960 +2023-03-04 15:53:31,849 - mmseg - INFO - Iter [73750/80000] lr: 1.172e-06, eta: 0:20:12, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1979, decode.acc_seg: 91.9083, loss: 0.1979 +2023-03-04 15:53:40,831 - mmseg - INFO - Iter [73800/80000] lr: 1.172e-06, eta: 0:20:02, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.8508, loss: 0.1965 +2023-03-04 15:53:49,750 - mmseg - INFO - Iter [73850/80000] lr: 1.172e-06, eta: 0:19:52, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1972, decode.acc_seg: 91.9364, loss: 0.1972 +2023-03-04 15:53:58,721 - mmseg - INFO - Iter [73900/80000] lr: 1.172e-06, eta: 0:19:42, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.1483, loss: 0.1912 +2023-03-04 15:54:07,638 - mmseg - INFO - Iter [73950/80000] lr: 1.172e-06, eta: 0:19:32, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1941, decode.acc_seg: 91.9295, loss: 0.1941 +2023-03-04 15:54:16,822 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:54:16,822 - mmseg - INFO - Iter [74000/80000] lr: 1.172e-06, eta: 0:19:23, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1975, decode.acc_seg: 91.9759, loss: 0.1975 +2023-03-04 15:54:25,639 - mmseg - INFO - Iter [74050/80000] lr: 1.172e-06, eta: 0:19:13, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2096, decode.acc_seg: 91.4676, loss: 0.2096 +2023-03-04 15:54:34,587 - mmseg - INFO - Iter [74100/80000] lr: 1.172e-06, eta: 0:19:03, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 92.0041, loss: 0.1949 +2023-03-04 15:54:43,676 - mmseg - INFO - Iter [74150/80000] lr: 1.172e-06, eta: 0:18:53, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1946, decode.acc_seg: 92.0057, loss: 0.1946 +2023-03-04 15:54:52,940 - mmseg - INFO - Iter [74200/80000] lr: 1.172e-06, eta: 0:18:44, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2073, decode.acc_seg: 91.5385, loss: 0.2073 +2023-03-04 15:55:01,574 - mmseg - INFO - Iter [74250/80000] lr: 1.172e-06, eta: 0:18:34, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1902, decode.acc_seg: 92.1537, loss: 0.1902 +2023-03-04 15:55:12,746 - mmseg - INFO - Iter [74300/80000] lr: 1.172e-06, eta: 0:18:24, time: 0.223, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1926, decode.acc_seg: 92.1151, loss: 0.1926 +2023-03-04 15:55:21,774 - mmseg - INFO - Iter [74350/80000] lr: 1.172e-06, eta: 0:18:15, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.7993, loss: 0.2040 +2023-03-04 15:55:30,593 - mmseg - INFO - Iter [74400/80000] lr: 1.172e-06, eta: 0:18:05, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2000, decode.acc_seg: 91.8192, loss: 0.2000 +2023-03-04 15:55:39,918 - mmseg - INFO - Iter [74450/80000] lr: 1.172e-06, eta: 0:17:55, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1942, decode.acc_seg: 91.9662, loss: 0.1942 +2023-03-04 15:55:48,630 - mmseg - INFO - Iter [74500/80000] lr: 1.172e-06, eta: 0:17:45, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 92.0505, loss: 0.1925 +2023-03-04 15:55:57,319 - mmseg - INFO - Iter [74550/80000] lr: 1.172e-06, eta: 0:17:36, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.7396, loss: 0.1977 +2023-03-04 15:56:06,682 - mmseg - INFO - Iter [74600/80000] lr: 1.172e-06, eta: 0:17:26, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1927, decode.acc_seg: 92.1031, loss: 0.1927 +2023-03-04 15:56:16,252 - mmseg - INFO - Iter [74650/80000] lr: 1.172e-06, eta: 0:17:16, time: 0.192, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1943, decode.acc_seg: 92.0476, loss: 0.1943 +2023-03-04 15:56:24,965 - mmseg - INFO - Iter [74700/80000] lr: 1.172e-06, eta: 0:17:06, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1878, decode.acc_seg: 92.2128, loss: 0.1878 +2023-03-04 15:56:33,742 - mmseg - INFO - Iter [74750/80000] lr: 1.172e-06, eta: 0:16:57, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2007, decode.acc_seg: 91.7420, loss: 0.2007 +2023-03-04 15:56:42,718 - mmseg - INFO - Iter [74800/80000] lr: 1.172e-06, eta: 0:16:47, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2057, decode.acc_seg: 91.6321, loss: 0.2057 +2023-03-04 15:56:51,910 - mmseg - INFO - Iter [74850/80000] lr: 1.172e-06, eta: 0:16:37, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1960, decode.acc_seg: 91.8512, loss: 0.1960 +2023-03-04 15:57:03,342 - mmseg - INFO - Iter [74900/80000] lr: 1.172e-06, eta: 0:16:28, time: 0.228, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.0033, loss: 0.1947 +2023-03-04 15:57:12,385 - mmseg - INFO - Iter [74950/80000] lr: 1.172e-06, eta: 0:16:18, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.1472, loss: 0.1938 +2023-03-04 15:57:21,658 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 15:57:21,658 - mmseg - INFO - Iter [75000/80000] lr: 1.172e-06, eta: 0:16:08, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1918, decode.acc_seg: 92.0821, loss: 0.1918 +2023-03-04 15:57:30,933 - mmseg - INFO - Iter [75050/80000] lr: 1.172e-06, eta: 0:15:58, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1991, decode.acc_seg: 91.9276, loss: 0.1991 +2023-03-04 15:57:39,820 - mmseg - INFO - Iter [75100/80000] lr: 1.172e-06, eta: 0:15:49, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.8220, loss: 0.1963 +2023-03-04 15:57:49,712 - mmseg - INFO - Iter [75150/80000] lr: 1.172e-06, eta: 0:15:39, time: 0.198, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1953, decode.acc_seg: 91.9531, loss: 0.1953 +2023-03-04 15:57:58,995 - mmseg - INFO - Iter [75200/80000] lr: 1.172e-06, eta: 0:15:29, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2016, decode.acc_seg: 91.8358, loss: 0.2016 +2023-03-04 15:58:07,697 - mmseg - INFO - Iter [75250/80000] lr: 1.172e-06, eta: 0:15:20, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1933, decode.acc_seg: 92.0632, loss: 0.1933 +2023-03-04 15:58:16,723 - mmseg - INFO - Iter [75300/80000] lr: 1.172e-06, eta: 0:15:10, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1927, decode.acc_seg: 92.1970, loss: 0.1927 +2023-03-04 15:58:25,524 - mmseg - INFO - Iter [75350/80000] lr: 1.172e-06, eta: 0:15:00, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9623, loss: 0.1944 +2023-03-04 15:58:34,108 - mmseg - INFO - Iter [75400/80000] lr: 1.172e-06, eta: 0:14:50, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1952, decode.acc_seg: 91.8863, loss: 0.1952 +2023-03-04 15:58:43,023 - mmseg - INFO - Iter [75450/80000] lr: 1.172e-06, eta: 0:14:41, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1873, decode.acc_seg: 92.2829, loss: 0.1873 +2023-03-04 15:58:52,082 - mmseg - INFO - Iter [75500/80000] lr: 1.172e-06, eta: 0:14:31, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1962, decode.acc_seg: 91.9154, loss: 0.1962 +2023-03-04 15:59:03,597 - mmseg - INFO - Iter [75550/80000] lr: 1.172e-06, eta: 0:14:21, time: 0.230, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.8998, loss: 0.1978 +2023-03-04 15:59:12,389 - mmseg - INFO - Iter [75600/80000] lr: 1.172e-06, eta: 0:14:12, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 91.9578, loss: 0.1944 +2023-03-04 15:59:21,335 - mmseg - INFO - Iter [75650/80000] lr: 1.172e-06, eta: 0:14:02, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1929, decode.acc_seg: 92.0930, loss: 0.1929 +2023-03-04 15:59:30,255 - mmseg - INFO - Iter [75700/80000] lr: 1.172e-06, eta: 0:13:52, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2030, decode.acc_seg: 91.7969, loss: 0.2030 +2023-03-04 15:59:39,263 - mmseg - INFO - Iter [75750/80000] lr: 1.172e-06, eta: 0:13:42, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2040, decode.acc_seg: 91.8096, loss: 0.2040 +2023-03-04 15:59:48,019 - mmseg - INFO - Iter [75800/80000] lr: 1.172e-06, eta: 0:13:33, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1966, decode.acc_seg: 91.9890, loss: 0.1966 +2023-03-04 15:59:56,774 - mmseg - INFO - Iter [75850/80000] lr: 1.172e-06, eta: 0:13:23, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1945, decode.acc_seg: 91.9895, loss: 0.1945 +2023-03-04 16:00:05,950 - mmseg - INFO - Iter [75900/80000] lr: 1.172e-06, eta: 0:13:13, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.5695, loss: 0.2015 +2023-03-04 16:00:14,922 - mmseg - INFO - Iter [75950/80000] lr: 1.172e-06, eta: 0:13:03, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 92.0035, loss: 0.1963 +2023-03-04 16:00:23,551 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:00:23,552 - mmseg - INFO - Iter [76000/80000] lr: 1.172e-06, eta: 0:12:54, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2084, decode.acc_seg: 91.3451, loss: 0.2084 +2023-03-04 16:00:32,582 - mmseg - INFO - Iter [76050/80000] lr: 1.172e-06, eta: 0:12:44, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1255, loss: 0.1920 +2023-03-04 16:00:41,384 - mmseg - INFO - Iter [76100/80000] lr: 1.172e-06, eta: 0:12:34, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1934, decode.acc_seg: 92.0008, loss: 0.1934 +2023-03-04 16:00:52,505 - mmseg - INFO - Iter [76150/80000] lr: 1.172e-06, eta: 0:12:25, time: 0.222, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1912, decode.acc_seg: 92.1490, loss: 0.1912 +2023-03-04 16:01:01,528 - mmseg - INFO - Iter [76200/80000] lr: 1.172e-06, eta: 0:12:15, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1993, decode.acc_seg: 91.6670, loss: 0.1993 +2023-03-04 16:01:10,852 - mmseg - INFO - Iter [76250/80000] lr: 1.172e-06, eta: 0:12:05, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 92.0612, loss: 0.1949 +2023-03-04 16:01:20,154 - mmseg - INFO - Iter [76300/80000] lr: 1.172e-06, eta: 0:11:56, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1871, decode.acc_seg: 92.1705, loss: 0.1871 +2023-03-04 16:01:29,381 - mmseg - INFO - Iter [76350/80000] lr: 1.172e-06, eta: 0:11:46, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1992, decode.acc_seg: 91.8634, loss: 0.1992 +2023-03-04 16:01:38,526 - mmseg - INFO - Iter [76400/80000] lr: 1.172e-06, eta: 0:11:36, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2049, decode.acc_seg: 91.6240, loss: 0.2049 +2023-03-04 16:01:47,501 - mmseg - INFO - Iter [76450/80000] lr: 1.172e-06, eta: 0:11:26, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2058, decode.acc_seg: 91.5945, loss: 0.2058 +2023-03-04 16:01:56,564 - mmseg - INFO - Iter [76500/80000] lr: 1.172e-06, eta: 0:11:17, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1925, decode.acc_seg: 91.9456, loss: 0.1925 +2023-03-04 16:02:05,654 - mmseg - INFO - Iter [76550/80000] lr: 1.172e-06, eta: 0:11:07, time: 0.182, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1932, decode.acc_seg: 91.9885, loss: 0.1932 +2023-03-04 16:02:14,488 - mmseg - INFO - Iter [76600/80000] lr: 1.172e-06, eta: 0:10:57, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1909, decode.acc_seg: 92.1602, loss: 0.1909 +2023-03-04 16:02:23,882 - mmseg - INFO - Iter [76650/80000] lr: 1.172e-06, eta: 0:10:48, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1933, loss: 0.1920 +2023-03-04 16:02:32,687 - mmseg - INFO - Iter [76700/80000] lr: 1.172e-06, eta: 0:10:38, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1963, decode.acc_seg: 91.7020, loss: 0.1963 +2023-03-04 16:02:41,960 - mmseg - INFO - Iter [76750/80000] lr: 1.172e-06, eta: 0:10:28, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2059, decode.acc_seg: 91.6534, loss: 0.2059 +2023-03-04 16:02:53,534 - mmseg - INFO - Iter [76800/80000] lr: 1.172e-06, eta: 0:10:19, time: 0.231, data_time: 0.056, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.7252, loss: 0.1995 +2023-03-04 16:03:02,774 - mmseg - INFO - Iter [76850/80000] lr: 1.172e-06, eta: 0:10:09, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2066, decode.acc_seg: 91.4044, loss: 0.2066 +2023-03-04 16:03:11,917 - mmseg - INFO - Iter [76900/80000] lr: 1.172e-06, eta: 0:09:59, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2021, decode.acc_seg: 91.7257, loss: 0.2021 +2023-03-04 16:03:20,924 - mmseg - INFO - Iter [76950/80000] lr: 1.172e-06, eta: 0:09:50, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2003, decode.acc_seg: 91.8131, loss: 0.2003 +2023-03-04 16:03:29,567 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:03:29,567 - mmseg - INFO - Iter [77000/80000] lr: 1.172e-06, eta: 0:09:40, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1967, decode.acc_seg: 91.9199, loss: 0.1967 +2023-03-04 16:03:38,326 - mmseg - INFO - Iter [77050/80000] lr: 1.172e-06, eta: 0:09:30, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1938, decode.acc_seg: 92.0904, loss: 0.1938 +2023-03-04 16:03:47,199 - mmseg - INFO - Iter [77100/80000] lr: 1.172e-06, eta: 0:09:20, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1996, decode.acc_seg: 91.8799, loss: 0.1996 +2023-03-04 16:03:56,420 - mmseg - INFO - Iter [77150/80000] lr: 1.172e-06, eta: 0:09:11, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1978, decode.acc_seg: 91.9021, loss: 0.1978 +2023-03-04 16:04:05,045 - mmseg - INFO - Iter [77200/80000] lr: 1.172e-06, eta: 0:09:01, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1898, decode.acc_seg: 92.2314, loss: 0.1898 +2023-03-04 16:04:13,898 - mmseg - INFO - Iter [77250/80000] lr: 1.172e-06, eta: 0:08:51, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2020, decode.acc_seg: 91.6429, loss: 0.2020 +2023-03-04 16:04:22,818 - mmseg - INFO - Iter [77300/80000] lr: 1.172e-06, eta: 0:08:42, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 91.6726, loss: 0.2001 +2023-03-04 16:04:31,488 - mmseg - INFO - Iter [77350/80000] lr: 1.172e-06, eta: 0:08:32, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1907, decode.acc_seg: 92.1586, loss: 0.1907 +2023-03-04 16:04:40,889 - mmseg - INFO - Iter [77400/80000] lr: 1.172e-06, eta: 0:08:22, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1916, decode.acc_seg: 92.0931, loss: 0.1916 +2023-03-04 16:04:52,489 - mmseg - INFO - Iter [77450/80000] lr: 1.172e-06, eta: 0:08:13, time: 0.232, data_time: 0.058, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.8866, loss: 0.1956 +2023-03-04 16:05:01,854 - mmseg - INFO - Iter [77500/80000] lr: 1.172e-06, eta: 0:08:03, time: 0.187, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.7796, loss: 0.1995 +2023-03-04 16:05:10,981 - mmseg - INFO - Iter [77550/80000] lr: 1.172e-06, eta: 0:07:53, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1986, decode.acc_seg: 91.9254, loss: 0.1986 +2023-03-04 16:05:19,979 - mmseg - INFO - Iter [77600/80000] lr: 1.172e-06, eta: 0:07:44, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2028, decode.acc_seg: 91.6102, loss: 0.2028 +2023-03-04 16:05:29,033 - mmseg - INFO - Iter [77650/80000] lr: 1.172e-06, eta: 0:07:34, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1891, decode.acc_seg: 92.1518, loss: 0.1891 +2023-03-04 16:05:38,321 - mmseg - INFO - Iter [77700/80000] lr: 1.172e-06, eta: 0:07:24, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2111, decode.acc_seg: 91.4757, loss: 0.2111 +2023-03-04 16:05:46,979 - mmseg - INFO - Iter [77750/80000] lr: 1.172e-06, eta: 0:07:15, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1947, decode.acc_seg: 92.0278, loss: 0.1947 +2023-03-04 16:05:55,932 - mmseg - INFO - Iter [77800/80000] lr: 1.172e-06, eta: 0:07:05, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2045, decode.acc_seg: 91.5671, loss: 0.2045 +2023-03-04 16:06:04,905 - mmseg - INFO - Iter [77850/80000] lr: 1.172e-06, eta: 0:06:55, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1899, decode.acc_seg: 92.2434, loss: 0.1899 +2023-03-04 16:06:13,507 - mmseg - INFO - Iter [77900/80000] lr: 1.172e-06, eta: 0:06:45, time: 0.172, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2002, decode.acc_seg: 91.8209, loss: 0.2002 +2023-03-04 16:06:22,730 - mmseg - INFO - Iter [77950/80000] lr: 1.172e-06, eta: 0:06:36, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1956, decode.acc_seg: 91.9280, loss: 0.1956 +2023-03-04 16:06:31,941 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:06:31,941 - mmseg - INFO - Iter [78000/80000] lr: 1.172e-06, eta: 0:06:26, time: 0.184, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1880, decode.acc_seg: 92.1566, loss: 0.1880 +2023-03-04 16:06:43,675 - mmseg - INFO - Iter [78050/80000] lr: 1.172e-06, eta: 0:06:16, time: 0.235, data_time: 0.055, memory: 52403, decode.loss_ce: 0.1857, decode.acc_seg: 92.0998, loss: 0.1857 +2023-03-04 16:06:52,974 - mmseg - INFO - Iter [78100/80000] lr: 1.172e-06, eta: 0:06:07, time: 0.186, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2015, decode.acc_seg: 91.7442, loss: 0.2015 +2023-03-04 16:07:01,912 - mmseg - INFO - Iter [78150/80000] lr: 1.172e-06, eta: 0:05:57, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1976, decode.acc_seg: 91.9408, loss: 0.1976 +2023-03-04 16:07:10,720 - mmseg - INFO - Iter [78200/80000] lr: 1.172e-06, eta: 0:05:47, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1900, decode.acc_seg: 92.2879, loss: 0.1900 +2023-03-04 16:07:19,860 - mmseg - INFO - Iter [78250/80000] lr: 1.172e-06, eta: 0:05:38, time: 0.183, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2008, decode.acc_seg: 91.5944, loss: 0.2008 +2023-03-04 16:07:28,933 - mmseg - INFO - Iter [78300/80000] lr: 1.172e-06, eta: 0:05:28, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8052, loss: 0.1987 +2023-03-04 16:07:37,688 - mmseg - INFO - Iter [78350/80000] lr: 1.172e-06, eta: 0:05:18, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1920, decode.acc_seg: 92.1740, loss: 0.1920 +2023-03-04 16:07:47,187 - mmseg - INFO - Iter [78400/80000] lr: 1.172e-06, eta: 0:05:09, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2014, decode.acc_seg: 91.7796, loss: 0.2014 +2023-03-04 16:07:56,113 - mmseg - INFO - Iter [78450/80000] lr: 1.172e-06, eta: 0:04:59, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1910, decode.acc_seg: 92.0388, loss: 0.1910 +2023-03-04 16:08:04,766 - mmseg - INFO - Iter [78500/80000] lr: 1.172e-06, eta: 0:04:49, time: 0.173, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1997, decode.acc_seg: 91.7888, loss: 0.1997 +2023-03-04 16:08:13,787 - mmseg - INFO - Iter [78550/80000] lr: 1.172e-06, eta: 0:04:40, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1931, decode.acc_seg: 92.1388, loss: 0.1931 +2023-03-04 16:08:22,831 - mmseg - INFO - Iter [78600/80000] lr: 1.172e-06, eta: 0:04:30, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1935, decode.acc_seg: 91.9813, loss: 0.1935 +2023-03-04 16:08:32,126 - mmseg - INFO - Iter [78650/80000] lr: 1.172e-06, eta: 0:04:20, time: 0.186, data_time: 0.008, memory: 52403, decode.loss_ce: 0.1965, decode.acc_seg: 91.8909, loss: 0.1965 +2023-03-04 16:08:43,318 - mmseg - INFO - Iter [78700/80000] lr: 1.172e-06, eta: 0:04:11, time: 0.224, data_time: 0.053, memory: 52403, decode.loss_ce: 0.1892, decode.acc_seg: 92.2396, loss: 0.1892 +2023-03-04 16:08:52,107 - mmseg - INFO - Iter [78750/80000] lr: 1.172e-06, eta: 0:04:01, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1924, decode.acc_seg: 92.0395, loss: 0.1924 +2023-03-04 16:09:01,158 - mmseg - INFO - Iter [78800/80000] lr: 1.172e-06, eta: 0:03:51, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2001, decode.acc_seg: 92.0219, loss: 0.2001 +2023-03-04 16:09:09,851 - mmseg - INFO - Iter [78850/80000] lr: 1.172e-06, eta: 0:03:42, time: 0.174, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1937, decode.acc_seg: 91.9548, loss: 0.1937 +2023-03-04 16:09:18,615 - mmseg - INFO - Iter [78900/80000] lr: 1.172e-06, eta: 0:03:32, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1977, decode.acc_seg: 91.8221, loss: 0.1977 +2023-03-04 16:09:27,713 - mmseg - INFO - Iter [78950/80000] lr: 1.172e-06, eta: 0:03:22, time: 0.182, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1867, decode.acc_seg: 92.2912, loss: 0.1867 +2023-03-04 16:09:37,100 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:09:37,100 - mmseg - INFO - Iter [79000/80000] lr: 1.172e-06, eta: 0:03:13, time: 0.188, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1919, decode.acc_seg: 92.2593, loss: 0.1919 +2023-03-04 16:09:45,886 - mmseg - INFO - Iter [79050/80000] lr: 1.172e-06, eta: 0:03:03, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1882, decode.acc_seg: 92.2667, loss: 0.1882 +2023-03-04 16:09:54,773 - mmseg - INFO - Iter [79100/80000] lr: 1.172e-06, eta: 0:02:53, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2031, decode.acc_seg: 91.8494, loss: 0.2031 +2023-03-04 16:10:04,295 - mmseg - INFO - Iter [79150/80000] lr: 1.172e-06, eta: 0:02:44, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2048, decode.acc_seg: 91.5277, loss: 0.2048 +2023-03-04 16:10:13,568 - mmseg - INFO - Iter [79200/80000] lr: 1.172e-06, eta: 0:02:34, time: 0.185, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1995, decode.acc_seg: 91.9018, loss: 0.1995 +2023-03-04 16:10:22,597 - mmseg - INFO - Iter [79250/80000] lr: 1.172e-06, eta: 0:02:24, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2006, decode.acc_seg: 91.6507, loss: 0.2006 +2023-03-04 16:10:31,941 - mmseg - INFO - Iter [79300/80000] lr: 1.172e-06, eta: 0:02:15, time: 0.187, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1944, decode.acc_seg: 92.0830, loss: 0.1944 +2023-03-04 16:10:43,202 - mmseg - INFO - Iter [79350/80000] lr: 1.172e-06, eta: 0:02:05, time: 0.225, data_time: 0.057, memory: 52403, decode.loss_ce: 0.2038, decode.acc_seg: 91.6704, loss: 0.2038 +2023-03-04 16:10:52,207 - mmseg - INFO - Iter [79400/80000] lr: 1.172e-06, eta: 0:01:55, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1931, decode.acc_seg: 92.1024, loss: 0.1931 +2023-03-04 16:11:01,106 - mmseg - INFO - Iter [79450/80000] lr: 1.172e-06, eta: 0:01:46, time: 0.178, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1951, decode.acc_seg: 91.7915, loss: 0.1951 +2023-03-04 16:11:09,921 - mmseg - INFO - Iter [79500/80000] lr: 1.172e-06, eta: 0:01:36, time: 0.176, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1988, decode.acc_seg: 91.9065, loss: 0.1988 +2023-03-04 16:11:18,904 - mmseg - INFO - Iter [79550/80000] lr: 1.172e-06, eta: 0:01:26, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1895, decode.acc_seg: 92.1872, loss: 0.1895 +2023-03-04 16:11:27,779 - mmseg - INFO - Iter [79600/80000] lr: 1.172e-06, eta: 0:01:17, time: 0.177, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1936, decode.acc_seg: 91.9417, loss: 0.1936 +2023-03-04 16:11:36,723 - mmseg - INFO - Iter [79650/80000] lr: 1.172e-06, eta: 0:01:07, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1949, decode.acc_seg: 92.0290, loss: 0.1949 +2023-03-04 16:11:45,476 - mmseg - INFO - Iter [79700/80000] lr: 1.172e-06, eta: 0:00:57, time: 0.175, data_time: 0.007, memory: 52403, decode.loss_ce: 0.2017, decode.acc_seg: 91.6648, loss: 0.2017 +2023-03-04 16:11:54,553 - mmseg - INFO - Iter [79750/80000] lr: 1.172e-06, eta: 0:00:48, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1915, decode.acc_seg: 92.1205, loss: 0.1915 +2023-03-04 16:12:03,482 - mmseg - INFO - Iter [79800/80000] lr: 1.172e-06, eta: 0:00:38, time: 0.179, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1983, decode.acc_seg: 91.8534, loss: 0.1983 +2023-03-04 16:12:12,477 - mmseg - INFO - Iter [79850/80000] lr: 1.172e-06, eta: 0:00:28, time: 0.180, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1921, decode.acc_seg: 91.9551, loss: 0.1921 +2023-03-04 16:12:21,550 - mmseg - INFO - Iter [79900/80000] lr: 1.172e-06, eta: 0:00:19, time: 0.181, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1987, decode.acc_seg: 91.8807, loss: 0.1987 +2023-03-04 16:12:32,870 - mmseg - INFO - Iter [79950/80000] lr: 1.172e-06, eta: 0:00:09, time: 0.226, data_time: 0.054, memory: 52403, decode.loss_ce: 0.1950, decode.acc_seg: 91.8719, loss: 0.1950 +2023-03-04 16:12:41,722 - mmseg - INFO - Saving checkpoint at 80000 iterations +2023-03-04 16:12:42,374 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:12:42,374 - mmseg - INFO - Iter [80000/80000] lr: 1.172e-06, eta: 0:00:00, time: 0.190, data_time: 0.007, memory: 52403, decode.loss_ce: 0.1940, decode.acc_seg: 91.9766, loss: 0.1940 +2023-03-04 16:12:58,046 - mmseg - INFO - per class results: +2023-03-04 16:12:58,052 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| background | nan | nan | +| wall | 77.21 | 89.11 | +| building | 81.45 | 91.91 | +| sky | 94.4 | 97.5 | +| floor | 81.28 | 91.15 | +| tree | 73.75 | 87.5 | +| ceiling | 85.05 | 93.12 | +| road | 81.86 | 89.97 | +| bed | 87.4 | 95.38 | +| windowpane | 60.08 | 77.88 | +| grass | 67.17 | 83.15 | +| cabinet | 59.85 | 72.89 | +| sidewalk | 63.95 | 79.33 | +| person | 79.12 | 92.33 | +| earth | 35.92 | 50.38 | +| door | 45.17 | 58.81 | +| table | 60.02 | 75.98 | +| mountain | 57.94 | 72.53 | +| plant | 49.5 | 60.79 | +| curtain | 73.19 | 83.14 | +| chair | 55.95 | 68.31 | +| car | 80.83 | 92.46 | +| water | 57.73 | 76.34 | +| painting | 70.52 | 84.43 | +| sofa | 63.4 | 82.01 | +| shelf | 43.44 | 62.1 | +| house | 41.97 | 56.94 | +| sea | 60.56 | 76.55 | +| mirror | 65.22 | 73.43 | +| rug | 63.92 | 71.91 | +| field | 30.84 | 45.24 | +| armchair | 37.25 | 53.93 | +| seat | 65.79 | 83.03 | +| fence | 40.91 | 54.23 | +| desk | 46.06 | 67.27 | +| rock | 37.08 | 60.7 | +| wardrobe | 56.12 | 67.97 | +| lamp | 59.93 | 73.56 | +| bathtub | 73.98 | 81.5 | +| railing | 33.54 | 46.1 | +| cushion | 56.11 | 68.87 | +| base | 19.37 | 23.95 | +| box | 23.15 | 30.14 | +| column | 45.17 | 56.13 | +| signboard | 37.48 | 50.41 | +| chest of drawers | 35.96 | 56.45 | +| counter | 31.4 | 41.24 | +| sand | 41.78 | 58.03 | +| sink | 66.82 | 78.41 | +| skyscraper | 48.52 | 61.15 | +| fireplace | 73.59 | 85.18 | +| refrigerator | 73.56 | 86.02 | +| grandstand | 54.28 | 64.85 | +| path | 22.14 | 29.29 | +| stairs | 34.45 | 43.19 | +| runway | 66.91 | 85.85 | +| case | 47.17 | 57.56 | +| pool table | 91.43 | 94.26 | +| pillow | 60.85 | 71.21 | +| screen door | 66.72 | 72.04 | +| stairway | 23.34 | 34.36 | +| river | 11.8 | 21.62 | +| bridge | 32.54 | 37.53 | +| bookcase | 44.75 | 63.46 | +| blind | 38.11 | 42.96 | +| coffee table | 52.92 | 76.9 | +| toilet | 83.28 | 89.33 | +| flower | 38.07 | 52.32 | +| book | 43.9 | 66.28 | +| hill | 14.73 | 21.12 | +| bench | 42.2 | 54.82 | +| countertop | 52.89 | 70.12 | +| stove | 69.83 | 81.52 | +| palm | 47.96 | 68.23 | +| kitchen island | 39.57 | 60.71 | +| computer | 59.67 | 68.81 | +| swivel chair | 44.45 | 59.77 | +| boat | 68.52 | 84.9 | +| bar | 23.69 | 31.93 | +| arcade machine | 70.6 | 73.24 | +| hovel | 31.05 | 34.72 | +| bus | 77.94 | 90.46 | +| towel | 62.85 | 72.28 | +| light | 52.57 | 59.24 | +| truck | 18.52 | 24.59 | +| tower | 6.23 | 9.94 | +| chandelier | 62.78 | 76.9 | +| awning | 23.48 | 26.93 | +| streetlight | 25.5 | 34.05 | +| booth | 41.43 | 42.88 | +| television receiver | 64.3 | 75.91 | +| airplane | 58.91 | 64.84 | +| dirt track | 19.51 | 48.03 | +| apparel | 33.85 | 54.56 | +| pole | 15.97 | 20.93 | +| land | 3.9 | 5.62 | +| bannister | 11.36 | 15.62 | +| escalator | 23.52 | 24.99 | +| ottoman | 42.29 | 61.02 | +| bottle | 35.94 | 57.61 | +| buffet | 36.04 | 41.87 | +| poster | 23.59 | 33.45 | +| stage | 13.31 | 17.2 | +| van | 38.04 | 54.0 | +| ship | 77.4 | 91.59 | +| fountain | 19.64 | 20.03 | +| conveyer belt | 85.13 | 90.12 | +| canopy | 22.26 | 23.69 | +| washer | 78.76 | 80.15 | +| plaything | 20.97 | 29.02 | +| swimming pool | 72.33 | 80.14 | +| stool | 43.25 | 57.61 | +| barrel | 46.96 | 59.26 | +| basket | 26.03 | 38.14 | +| waterfall | 48.55 | 64.22 | +| tent | 94.16 | 97.65 | +| bag | 14.44 | 17.84 | +| minibike | 61.63 | 72.84 | +| cradle | 84.0 | 95.81 | +| oven | 45.76 | 64.73 | +| ball | 43.24 | 49.46 | +| food | 52.6 | 62.99 | +| step | 4.04 | 4.34 | +| tank | 49.47 | 54.74 | +| trade name | 28.48 | 31.92 | +| microwave | 73.16 | 78.54 | +| pot | 30.64 | 35.05 | +| animal | 53.06 | 59.52 | +| bicycle | 53.46 | 71.93 | +| lake | 57.55 | 62.84 | +| dishwasher | 67.02 | 76.56 | +| screen | 68.78 | 81.03 | +| blanket | 17.47 | 20.07 | +| sculpture | 56.7 | 78.18 | +| hood | 57.64 | 63.78 | +| sconce | 41.07 | 49.09 | +| vase | 36.56 | 50.18 | +| traffic light | 32.35 | 47.59 | +| tray | 6.51 | 9.65 | +| ashcan | 41.48 | 52.8 | +| fan | 57.91 | 68.45 | +| pier | 45.7 | 62.19 | +| crt screen | 9.08 | 23.49 | +| plate | 50.97 | 67.62 | +| monitor | 18.38 | 21.97 | +| bulletin board | 38.92 | 51.56 | +| shower | 1.44 | 5.93 | +| radiator | 60.84 | 68.47 | +| glass | 12.22 | 13.35 | +| clock | 33.1 | 36.12 | +| flag | 34.16 | 37.62 | ++---------------------+-------+-------+ +2023-03-04 16:12:58,052 - mmseg - INFO - Summary: +2023-03-04 16:12:58,053 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.59 | 47.98 | 58.82 | ++-------+-------+-------+ +2023-03-04 16:12:58,075 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/laizeqiang/mmseg-baseline/work_dirs2/ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask/best_mIoU_iter_72000.pth was removed +2023-03-04 16:12:58,694 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2023-03-04 16:12:58,695 - mmseg - INFO - Best mIoU is 0.4798 at 80000 iter. +2023-03-04 16:12:58,695 - mmseg - INFO - Exp name: ablation_segformer_mit_b2_segformer_head_unet_fc_single_step_ade_pretrained_freeze_embed_80k_ade20k151_mask.py +2023-03-04 16:12:58,696 - mmseg - INFO - Iter(val) [250] aAcc: 0.8259, mIoU: 0.4798, mAcc: 0.5882, IoU.background: nan, IoU.wall: 0.7721, IoU.building: 0.8145, IoU.sky: 0.9440, IoU.floor: 0.8128, IoU.tree: 0.7375, IoU.ceiling: 0.8505, IoU.road: 0.8186, IoU.bed : 0.8740, IoU.windowpane: 0.6008, IoU.grass: 0.6717, IoU.cabinet: 0.5985, IoU.sidewalk: 0.6395, IoU.person: 0.7912, IoU.earth: 0.3592, IoU.door: 0.4517, IoU.table: 0.6002, IoU.mountain: 0.5794, IoU.plant: 0.4950, IoU.curtain: 0.7319, IoU.chair: 0.5595, IoU.car: 0.8083, IoU.water: 0.5773, IoU.painting: 0.7052, IoU.sofa: 0.6340, IoU.shelf: 0.4344, IoU.house: 0.4197, IoU.sea: 0.6056, IoU.mirror: 0.6522, IoU.rug: 0.6392, IoU.field: 0.3084, IoU.armchair: 0.3725, IoU.seat: 0.6579, IoU.fence: 0.4091, IoU.desk: 0.4606, IoU.rock: 0.3708, IoU.wardrobe: 0.5612, IoU.lamp: 0.5993, IoU.bathtub: 0.7398, IoU.railing: 0.3354, IoU.cushion: 0.5611, IoU.base: 0.1937, IoU.box: 0.2315, IoU.column: 0.4517, IoU.signboard: 0.3748, IoU.chest of drawers: 0.3596, IoU.counter: 0.3140, IoU.sand: 0.4178, IoU.sink: 0.6682, IoU.skyscraper: 0.4852, IoU.fireplace: 0.7359, IoU.refrigerator: 0.7356, IoU.grandstand: 0.5428, IoU.path: 0.2214, IoU.stairs: 0.3445, IoU.runway: 0.6691, IoU.case: 0.4717, IoU.pool table: 0.9143, IoU.pillow: 0.6085, IoU.screen door: 0.6672, IoU.stairway: 0.2334, IoU.river: 0.1180, IoU.bridge: 0.3254, IoU.bookcase: 0.4475, IoU.blind: 0.3811, IoU.coffee table: 0.5292, IoU.toilet: 0.8328, IoU.flower: 0.3807, IoU.book: 0.4390, IoU.hill: 0.1473, IoU.bench: 0.4220, IoU.countertop: 0.5289, IoU.stove: 0.6983, IoU.palm: 0.4796, IoU.kitchen island: 0.3957, IoU.computer: 0.5967, IoU.swivel chair: 0.4445, IoU.boat: 0.6852, IoU.bar: 0.2369, IoU.arcade machine: 0.7060, IoU.hovel: 0.3105, IoU.bus: 0.7794, IoU.towel: 0.6285, IoU.light: 0.5257, IoU.truck: 0.1852, IoU.tower: 0.0623, IoU.chandelier: 0.6278, IoU.awning: 0.2348, IoU.streetlight: 0.2550, IoU.booth: 0.4143, IoU.television receiver: 0.6430, IoU.airplane: 0.5891, IoU.dirt track: 0.1951, IoU.apparel: 0.3385, IoU.pole: 0.1597, IoU.land: 0.0390, IoU.bannister: 0.1136, IoU.escalator: 0.2352, IoU.ottoman: 0.4229, IoU.bottle: 0.3594, IoU.buffet: 0.3604, IoU.poster: 0.2359, IoU.stage: 0.1331, IoU.van: 0.3804, IoU.ship: 0.7740, IoU.fountain: 0.1964, IoU.conveyer belt: 0.8513, IoU.canopy: 0.2226, IoU.washer: 0.7876, IoU.plaything: 0.2097, IoU.swimming pool: 0.7233, IoU.stool: 0.4325, IoU.barrel: 0.4696, IoU.basket: 0.2603, IoU.waterfall: 0.4855, IoU.tent: 0.9416, IoU.bag: 0.1444, IoU.minibike: 0.6163, IoU.cradle: 0.8400, IoU.oven: 0.4576, IoU.ball: 0.4324, IoU.food: 0.5260, IoU.step: 0.0404, IoU.tank: 0.4947, IoU.trade name: 0.2848, IoU.microwave: 0.7316, IoU.pot: 0.3064, IoU.animal: 0.5306, IoU.bicycle: 0.5346, IoU.lake: 0.5755, IoU.dishwasher: 0.6702, IoU.screen: 0.6878, IoU.blanket: 0.1747, IoU.sculpture: 0.5670, IoU.hood: 0.5764, IoU.sconce: 0.4107, IoU.vase: 0.3656, IoU.traffic light: 0.3235, IoU.tray: 0.0651, IoU.ashcan: 0.4148, IoU.fan: 0.5791, IoU.pier: 0.4570, IoU.crt screen: 0.0908, IoU.plate: 0.5097, IoU.monitor: 0.1838, IoU.bulletin board: 0.3892, IoU.shower: 0.0144, IoU.radiator: 0.6084, IoU.glass: 0.1222, IoU.clock: 0.3310, IoU.flag: 0.3416, Acc.background: nan, Acc.wall: 0.8911, Acc.building: 0.9191, Acc.sky: 0.9750, Acc.floor: 0.9115, Acc.tree: 0.8750, Acc.ceiling: 0.9312, Acc.road: 0.8997, Acc.bed : 0.9538, Acc.windowpane: 0.7788, Acc.grass: 0.8315, Acc.cabinet: 0.7289, Acc.sidewalk: 0.7933, Acc.person: 0.9233, Acc.earth: 0.5038, Acc.door: 0.5881, Acc.table: 0.7598, Acc.mountain: 0.7253, Acc.plant: 0.6079, Acc.curtain: 0.8314, Acc.chair: 0.6831, Acc.car: 0.9246, Acc.water: 0.7634, Acc.painting: 0.8443, Acc.sofa: 0.8201, Acc.shelf: 0.6210, Acc.house: 0.5694, Acc.sea: 0.7655, Acc.mirror: 0.7343, Acc.rug: 0.7191, Acc.field: 0.4524, Acc.armchair: 0.5393, Acc.seat: 0.8303, Acc.fence: 0.5423, Acc.desk: 0.6727, Acc.rock: 0.6070, Acc.wardrobe: 0.6797, Acc.lamp: 0.7356, Acc.bathtub: 0.8150, Acc.railing: 0.4610, Acc.cushion: 0.6887, Acc.base: 0.2395, Acc.box: 0.3014, Acc.column: 0.5613, Acc.signboard: 0.5041, Acc.chest of drawers: 0.5645, Acc.counter: 0.4124, Acc.sand: 0.5803, Acc.sink: 0.7841, Acc.skyscraper: 0.6115, Acc.fireplace: 0.8518, Acc.refrigerator: 0.8602, Acc.grandstand: 0.6485, Acc.path: 0.2929, Acc.stairs: 0.4319, Acc.runway: 0.8585, Acc.case: 0.5756, Acc.pool table: 0.9426, Acc.pillow: 0.7121, Acc.screen door: 0.7204, Acc.stairway: 0.3436, Acc.river: 0.2162, Acc.bridge: 0.3753, Acc.bookcase: 0.6346, Acc.blind: 0.4296, Acc.coffee table: 0.7690, Acc.toilet: 0.8933, Acc.flower: 0.5232, Acc.book: 0.6628, Acc.hill: 0.2112, Acc.bench: 0.5482, Acc.countertop: 0.7012, Acc.stove: 0.8152, Acc.palm: 0.6823, Acc.kitchen island: 0.6071, Acc.computer: 0.6881, Acc.swivel chair: 0.5977, Acc.boat: 0.8490, Acc.bar: 0.3193, Acc.arcade machine: 0.7324, Acc.hovel: 0.3472, Acc.bus: 0.9046, Acc.towel: 0.7228, Acc.light: 0.5924, Acc.truck: 0.2459, Acc.tower: 0.0994, Acc.chandelier: 0.7690, Acc.awning: 0.2693, Acc.streetlight: 0.3405, Acc.booth: 0.4288, Acc.television receiver: 0.7591, Acc.airplane: 0.6484, Acc.dirt track: 0.4803, Acc.apparel: 0.5456, Acc.pole: 0.2093, Acc.land: 0.0562, Acc.bannister: 0.1562, Acc.escalator: 0.2499, Acc.ottoman: 0.6102, Acc.bottle: 0.5761, Acc.buffet: 0.4187, Acc.poster: 0.3345, Acc.stage: 0.1720, Acc.van: 0.5400, Acc.ship: 0.9159, Acc.fountain: 0.2003, Acc.conveyer belt: 0.9012, Acc.canopy: 0.2369, Acc.washer: 0.8015, Acc.plaything: 0.2902, Acc.swimming pool: 0.8014, Acc.stool: 0.5761, Acc.barrel: 0.5926, Acc.basket: 0.3814, Acc.waterfall: 0.6422, Acc.tent: 0.9765, Acc.bag: 0.1784, Acc.minibike: 0.7284, Acc.cradle: 0.9581, Acc.oven: 0.6473, Acc.ball: 0.4946, Acc.food: 0.6299, Acc.step: 0.0434, Acc.tank: 0.5474, Acc.trade name: 0.3192, Acc.microwave: 0.7854, Acc.pot: 0.3505, Acc.animal: 0.5952, Acc.bicycle: 0.7193, Acc.lake: 0.6284, Acc.dishwasher: 0.7656, Acc.screen: 0.8103, Acc.blanket: 0.2007, Acc.sculpture: 0.7818, Acc.hood: 0.6378, Acc.sconce: 0.4909, Acc.vase: 0.5018, Acc.traffic light: 0.4759, Acc.tray: 0.0965, Acc.ashcan: 0.5280, Acc.fan: 0.6845, Acc.pier: 0.6219, Acc.crt screen: 0.2349, Acc.plate: 0.6762, Acc.monitor: 0.2197, Acc.bulletin board: 0.5156, Acc.shower: 0.0593, Acc.radiator: 0.6847, Acc.glass: 0.1335, Acc.clock: 0.3612, Acc.flag: 0.3762