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Runtime error
Runtime error
| norm_cfg = dict(type='BN', requires_grad=True) | |
| data_preprocessor = dict( | |
| type='SegDataPreProcessor', | |
| mean=[123.675, 116.28, 103.53], | |
| std=[58.395, 57.12, 57.375], | |
| bgr_to_rgb=True, | |
| pad_val=0, | |
| seg_pad_val=255) | |
| model = dict( | |
| type='EncoderDecoder', | |
| data_preprocessor=data_preprocessor, | |
| 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) | |
| ]), | |
| ], | |
| # model training and testing settings | |
| train_cfg=dict(), | |
| test_cfg=dict(mode='whole')) | |