| _base_ = './mask-rcnn_r50_fpn_1x_nuim.py' | |
| model = dict( | |
| pretrained='open-mmlab://resnext101_32x4d', | |
| backbone=dict( | |
| type='ResNeXt', | |
| depth=101, | |
| groups=32, | |
| base_width=4, | |
| num_stages=4, | |
| out_indices=(0, 1, 2, 3), | |
| frozen_stages=1, | |
| norm_cfg=dict(type='BN', requires_grad=True), | |
| style='pytorch')) | |