| model = dict( | |
| type='DBNet', | |
| backbone=dict( | |
| type='mmdet.ResNet', | |
| depth=18, | |
| num_stages=4, | |
| out_indices=(0, 1, 2, 3), | |
| frozen_stages=-1, | |
| norm_cfg=dict(type='BN', requires_grad=True), | |
| init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet18'), | |
| norm_eval=False, | |
| style='caffe'), | |
| neck=dict( | |
| type='FPNC', in_channels=[64, 128, 256, 512], lateral_channels=256), | |
| bbox_head=dict( | |
| type='DBHead', | |
| in_channels=256, | |
| loss=dict(type='DBLoss', alpha=5.0, beta=10.0, bbce_loss=True), | |
| postprocessor=dict(type='DBPostprocessor', text_repr_type='quad')), | |
| train_cfg=None, | |
| test_cfg=None) | |