retinanet_r50-caffe_fpn_1x_coco.py 507 B

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  1. _base_ = './retinanet_r50_fpn_1x_coco.py'
  2. model = dict(
  3. data_preprocessor=dict(
  4. type='DetDataPreprocessor',
  5. # use caffe img_norm
  6. mean=[103.530, 116.280, 123.675],
  7. std=[1.0, 1.0, 1.0],
  8. bgr_to_rgb=False,
  9. pad_size_divisor=32),
  10. backbone=dict(
  11. norm_cfg=dict(requires_grad=False),
  12. norm_eval=True,
  13. style='caffe',
  14. init_cfg=dict(
  15. type='Pretrained',
  16. checkpoint='open-mmlab://detectron2/resnet50_caffe')))