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Runtime error
| # model settings | |
| norm_cfg = dict(type='SyncBN', 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='UNet', | |
| in_channels=3, | |
| base_channels=64, | |
| num_stages=5, | |
| strides=(1, 1, 1, 1, 1), | |
| enc_num_convs=(2, 2, 2, 2, 2), | |
| dec_num_convs=(2, 2, 2, 2), | |
| downsamples=(True, True, True, True), | |
| enc_dilations=(1, 1, 1, 1, 1), | |
| dec_dilations=(1, 1, 1, 1), | |
| with_cp=False, | |
| conv_cfg=None, | |
| norm_cfg=norm_cfg, | |
| act_cfg=dict(type='ReLU'), | |
| upsample_cfg=dict(type='InterpConv'), | |
| norm_eval=False), | |
| decode_head=dict( | |
| type='FCNHead', | |
| in_channels=64, | |
| in_index=4, | |
| channels=64, | |
| num_convs=1, | |
| concat_input=False, | |
| dropout_ratio=0.1, | |
| num_classes=2, | |
| norm_cfg=norm_cfg, | |
| align_corners=False, | |
| loss_decode=dict( | |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), | |
| auxiliary_head=dict( | |
| type='FCNHead', | |
| in_channels=128, | |
| in_index=3, | |
| channels=64, | |
| num_convs=1, | |
| concat_input=False, | |
| dropout_ratio=0.1, | |
| num_classes=2, | |
| norm_cfg=norm_cfg, | |
| align_corners=False, | |
| loss_decode=dict( | |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), | |
| # model training and testing settings | |
| train_cfg=dict(), | |
| test_cfg=dict(mode='slide', crop_size=256, stride=170)) | |