mask-rcnn_hrnetv2p-w40_1x_coco.py 461 B

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  1. _base_ = './mask-rcnn_hrnetv2p-w18-1x_coco.py'
  2. model = dict(
  3. backbone=dict(
  4. type='HRNet',
  5. extra=dict(
  6. stage2=dict(num_channels=(40, 80)),
  7. stage3=dict(num_channels=(40, 80, 160)),
  8. stage4=dict(num_channels=(40, 80, 160, 320))),
  9. init_cfg=dict(
  10. type='Pretrained', checkpoint='open-mmlab://msra/hrnetv2_w40')),
  11. neck=dict(type='HRFPN', in_channels=[40, 80, 160, 320], out_channels=256))