| _base_ = './gfl_r50_fpn_ms-2x_coco.py' | |
| model = dict( | |
| backbone=dict( | |
| type='ResNet', | |
| depth=101, | |
| num_stages=4, | |
| out_indices=(0, 1, 2, 3), | |
| frozen_stages=1, | |
| norm_cfg=dict(type='BN', requires_grad=True), | |
| dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False), | |
| stage_with_dcn=(False, True, True, True), | |
| norm_eval=True, | |
| style='pytorch', | |
| init_cfg=dict(type='Pretrained', | |
| checkpoint='torchvision://resnet101'))) | |