| _base_ = ['./ld_r18_gflv1_r101_fpn_coco_1x.py'] | |
| model = dict( | |
| backbone=dict( | |
| type='ResNet', | |
| depth=34, | |
| num_stages=4, | |
| out_indices=(0, 1, 2, 3), | |
| frozen_stages=1, | |
| norm_cfg=dict(type='BN', requires_grad=True), | |
| norm_eval=True, | |
| style='pytorch', | |
| init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet34')), | |
| neck=dict( | |
| type='FPN', | |
| in_channels=[64, 128, 256, 512], | |
| out_channels=256, | |
| start_level=1, | |
| add_extra_convs='on_output', | |
| num_outs=5)) | |