mask-rcnn_r50-caffe_fpn_1x_coco.py

_base_ = './mask-rcnn_r50_fpn_1x_coco.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),
        style='caffe',
        init_cfg=dict(
            type='Pretrained',
            checkpoint='open-mmlab://detectron2/resnet50_caffe')))