faster-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco.py 557 B

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  1. _base_ = '../faster_rcnn/faster-rcnn_r50_fpn_1x_coco.py'
  2. model = dict(
  3. backbone=dict(
  4. type='ResNeXt',
  5. depth=101,
  6. groups=32,
  7. base_width=4,
  8. num_stages=4,
  9. out_indices=(0, 1, 2, 3),
  10. frozen_stages=1,
  11. norm_cfg=dict(type='BN', requires_grad=True),
  12. style='pytorch',
  13. dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False),
  14. stage_with_dcn=(False, True, True, True),
  15. init_cfg=dict(
  16. type='Pretrained', checkpoint='open-mmlab://resnext101_32x4d')))