| norm_cfg = dict(type='BN', requires_grad=True) |
| model = dict( |
| type='EncoderDecoder', |
| pretrained=None, |
| backbone=dict( |
| type='STDCContextPathNet', |
| backbone_cfg=dict( |
| type='STDCNet', |
| stdc_type='STDCNet1', |
| in_channels=3, |
| channels=(32, 64, 256, 512, 1024), |
| bottleneck_type='cat', |
| num_convs=4, |
| norm_cfg=norm_cfg, |
| act_cfg=dict(type='ReLU'), |
| with_final_conv=False), |
| last_in_channels=(1024, 512), |
| out_channels=128, |
| ffm_cfg=dict(in_channels=384, out_channels=256, scale_factor=4)), |
| decode_head=dict( |
| type='FCNHead', |
| in_channels=256, |
| channels=256, |
| num_convs=1, |
| num_classes=19, |
| in_index=3, |
| concat_input=False, |
| dropout_ratio=0.1, |
| norm_cfg=norm_cfg, |
| align_corners=True, |
| sampler=dict(type='OHEMPixelSampler', thresh=0.7, min_kept=10000), |
| loss_decode=dict( |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), |
| auxiliary_head=[ |
| dict( |
| type='FCNHead', |
| in_channels=128, |
| channels=64, |
| num_convs=1, |
| num_classes=19, |
| in_index=2, |
| norm_cfg=norm_cfg, |
| concat_input=False, |
| align_corners=False, |
| sampler=dict(type='OHEMPixelSampler', thresh=0.7, min_kept=10000), |
| loss_decode=dict( |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), |
| dict( |
| type='FCNHead', |
| in_channels=128, |
| channels=64, |
| num_convs=1, |
| num_classes=19, |
| in_index=1, |
| norm_cfg=norm_cfg, |
| concat_input=False, |
| align_corners=False, |
| sampler=dict(type='OHEMPixelSampler', thresh=0.7, min_kept=10000), |
| loss_decode=dict( |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), |
| dict( |
| type='STDCHead', |
| in_channels=256, |
| channels=64, |
| num_convs=1, |
| num_classes=2, |
| boundary_threshold=0.1, |
| in_index=0, |
| norm_cfg=norm_cfg, |
| concat_input=False, |
| align_corners=True, |
| loss_decode=[ |
| dict( |
| type='CrossEntropyLoss', |
| loss_name='loss_ce', |
| use_sigmoid=True, |
| loss_weight=1.0), |
| dict(type='DiceLoss', loss_name='loss_dice', loss_weight=1.0) |
| ]), |
| ], |
| |
| train_cfg=dict(), |
| test_cfg=dict(mode='whole')) |
|
|
