| model = dict( | |
| type='PANet', | |
| pretrained='torchvision://resnet50', | |
| backbone=dict( | |
| type='mmdet.ResNet', | |
| depth=50, | |
| num_stages=4, | |
| out_indices=(0, 1, 2, 3), | |
| frozen_stages=1, | |
| norm_cfg=dict(type='BN', requires_grad=True), | |
| norm_eval=True, | |
| style='caffe'), | |
| neck=dict(type='FPEM_FFM', in_channels=[256, 512, 1024, 2048]), | |
| bbox_head=dict( | |
| type='PANHead', | |
| in_channels=[128, 128, 128, 128], | |
| out_channels=6, | |
| loss=dict(type='PANLoss', speedup_bbox_thr=32), | |
| postprocessor=dict(type='PANPostprocessor', text_repr_type='poly')), | |
| train_cfg=None, | |
| test_cfg=None) | |