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- _base_ = [
- '../_base_/models/mask-rcnn_r50_fpn.py',
- '../_base_/datasets/coco_instance.py',
- '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
- ]
- model = dict(
- rpn_head=dict(
- anchor_generator=dict(type='LegacyAnchorGenerator', center_offset=0.5),
- bbox_coder=dict(type='LegacyDeltaXYWHBBoxCoder'),
- loss_bbox=dict(type='SmoothL1Loss', beta=1.0 / 9.0, loss_weight=1.0)),
- roi_head=dict(
- bbox_roi_extractor=dict(
- type='SingleRoIExtractor',
- roi_layer=dict(
- type='RoIAlign',
- output_size=7,
- sampling_ratio=2,
- aligned=False)),
- mask_roi_extractor=dict(
- type='SingleRoIExtractor',
- roi_layer=dict(
- type='RoIAlign',
- output_size=14,
- sampling_ratio=2,
- aligned=False)),
- bbox_head=dict(
- bbox_coder=dict(type='LegacyDeltaXYWHBBoxCoder'),
- loss_bbox=dict(type='SmoothL1Loss', beta=1.0, loss_weight=1.0))),
- # model training and testing settings
- train_cfg=dict(
- rpn_proposal=dict(max_per_img=2000),
- rcnn=dict(assigner=dict(match_low_quality=True))))
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