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- _base_ = [
- '../common/ms_3x_coco-instance.py',
- '../_base_/models/cascade-mask-rcnn_r50_fpn.py'
- ]
- model = dict(
- # use caffe img_norm
- data_preprocessor=dict(
- mean=[103.530, 116.280, 123.675],
- std=[1.0, 1.0, 1.0],
- bgr_to_rgb=False),
- backbone=dict(
- norm_cfg=dict(requires_grad=False),
- norm_eval=True,
- style='caffe',
- init_cfg=dict(
- type='Pretrained',
- checkpoint='open-mmlab://detectron2/resnet50_caffe')))
|
