retinanet_timm-tv-resnet50_fpn_1x_coco.py 712 B

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  1. _base_ = [
  2. '../_base_/models/retinanet_r50_fpn.py',
  3. '../_base_/datasets/coco_detection.py',
  4. '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
  5. ]
  6. # TODO: delete custom_imports after mmcls supports auto import
  7. # please install mmcls>=1.0
  8. # import mmcls.models to trigger register_module in mmcls
  9. custom_imports = dict(imports=['mmcls.models'], allow_failed_imports=False)
  10. model = dict(
  11. backbone=dict(
  12. _delete_=True,
  13. type='mmcls.TIMMBackbone',
  14. model_name='tv_resnet50', # ResNet-50 with torchvision weights
  15. features_only=True,
  16. pretrained=True,
  17. out_indices=(1, 2, 3, 4)))
  18. # optimizer
  19. optim_wrapper = dict(optimizer=dict(lr=0.01))