mask-rcnn_regnetx-3.2GF-mdconv-c3-c5_fpn_1x_coco.py 305 B

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  1. _base_ = 'mask-rcnn_regnetx-3.2GF_fpn_1x_coco.py'
  2. model = dict(
  3. backbone=dict(
  4. dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False),
  5. stage_with_dcn=(False, True, True, True),
  6. init_cfg=dict(
  7. type='Pretrained', checkpoint='open-mmlab://regnetx_3.2gf')))