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