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model = dict( |
|
type='ImVoteNet', |
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data_preprocessor=dict( |
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type='Det3DDataPreprocessor', |
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|
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mean=[103.530, 116.280, 123.675], |
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std=[1.0, 1.0, 1.0], |
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bgr_to_rgb=False, |
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pad_size_divisor=32), |
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img_backbone=dict( |
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type='mmdet.ResNet', |
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depth=50, |
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num_stages=4, |
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out_indices=(0, 1, 2, 3), |
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frozen_stages=1, |
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norm_cfg=dict(type='BN', requires_grad=False), |
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norm_eval=True, |
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style='caffe'), |
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img_neck=dict( |
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type='mmdet.FPN', |
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in_channels=[256, 512, 1024, 2048], |
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out_channels=256, |
|
num_outs=5), |
|
img_rpn_head=dict( |
|
_scope_='mmdet', |
|
type='RPNHead', |
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in_channels=256, |
|
feat_channels=256, |
|
anchor_generator=dict( |
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type='AnchorGenerator', |
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scales=[8], |
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ratios=[0.5, 1.0, 2.0], |
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strides=[4, 8, 16, 32, 64]), |
|
bbox_coder=dict( |
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type='DeltaXYWHBBoxCoder', |
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target_means=[.0, .0, .0, .0], |
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target_stds=[1.0, 1.0, 1.0, 1.0]), |
|
loss_cls=dict( |
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type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), |
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loss_bbox=dict(type='L1Loss', loss_weight=1.0)), |
|
img_roi_head=dict( |
|
_scope_='mmdet', |
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type='StandardRoIHead', |
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bbox_roi_extractor=dict( |
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type='SingleRoIExtractor', |
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roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0), |
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out_channels=256, |
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featmap_strides=[4, 8, 16, 32]), |
|
bbox_head=dict( |
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type='Shared2FCBBoxHead', |
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in_channels=256, |
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fc_out_channels=1024, |
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roi_feat_size=7, |
|
num_classes=10, |
|
bbox_coder=dict( |
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type='DeltaXYWHBBoxCoder', |
|
target_means=[0., 0., 0., 0.], |
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target_stds=[0.1, 0.1, 0.2, 0.2]), |
|
reg_class_agnostic=False, |
|
loss_cls=dict( |
|
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), |
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loss_bbox=dict(type='L1Loss', loss_weight=1.0))), |
|
|
|
|
|
train_cfg=dict( |
|
_scope_='mmdet', |
|
img_rpn=dict( |
|
assigner=dict( |
|
type='MaxIoUAssigner', |
|
pos_iou_thr=0.7, |
|
neg_iou_thr=0.3, |
|
min_pos_iou=0.3, |
|
match_low_quality=True, |
|
ignore_iof_thr=-1), |
|
sampler=dict( |
|
type='RandomSampler', |
|
num=256, |
|
pos_fraction=0.5, |
|
neg_pos_ub=-1, |
|
add_gt_as_proposals=False), |
|
allowed_border=-1, |
|
pos_weight=-1, |
|
debug=False), |
|
img_rpn_proposal=dict( |
|
nms_across_levels=False, |
|
nms_pre=2000, |
|
nms_post=1000, |
|
max_per_img=1000, |
|
nms=dict(type='nms', iou_threshold=0.7), |
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min_bbox_size=0), |
|
img_rcnn=dict( |
|
assigner=dict( |
|
type='MaxIoUAssigner', |
|
pos_iou_thr=0.5, |
|
neg_iou_thr=0.5, |
|
min_pos_iou=0.5, |
|
match_low_quality=False, |
|
ignore_iof_thr=-1), |
|
sampler=dict( |
|
type='RandomSampler', |
|
num=512, |
|
pos_fraction=0.25, |
|
neg_pos_ub=-1, |
|
add_gt_as_proposals=True), |
|
pos_weight=-1, |
|
debug=False)), |
|
test_cfg=dict( |
|
img_rpn=dict( |
|
nms_across_levels=False, |
|
nms_pre=1000, |
|
nms_post=1000, |
|
max_per_img=1000, |
|
nms=dict(type='nms', iou_threshold=0.7), |
|
min_bbox_size=0), |
|
img_rcnn=dict( |
|
score_thr=0.05, |
|
nms=dict(type='nms', iou_threshold=0.5), |
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max_per_img=100))) |
|
|
