scnet_x101-64x4d_fpn_20e_coco.py 440 B

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  1. _base_ = './scnet_r50_fpn_20e_coco.py'
  2. model = dict(
  3. backbone=dict(
  4. type='ResNeXt',
  5. depth=101,
  6. groups=64,
  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. norm_eval=True,
  13. style='pytorch',
  14. init_cfg=dict(
  15. type='Pretrained', checkpoint='open-mmlab://resnext101_64x4d')))