| _base_ = './faster-rcnn_r50_fpn_gn-ws-all_1x_coco.py' | |
| conv_cfg = dict(type='ConvWS') | |
| norm_cfg = dict(type='GN', num_groups=32, requires_grad=True) | |
| model = dict( | |
| backbone=dict( | |
| type='ResNeXt', | |
| depth=101, | |
| groups=32, | |
| base_width=4, | |
| num_stages=4, | |
| out_indices=(0, 1, 2, 3), | |
| frozen_stages=1, | |
| style='pytorch', | |
| conv_cfg=conv_cfg, | |
| norm_cfg=norm_cfg, | |
| init_cfg=dict( | |
| type='Pretrained', | |
| checkpoint='open-mmlab://jhu/resnext101_32x4d_gn_ws'))) | |