26 lines
756 B
Python
26 lines
756 B
Python
# model settings
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norm_cfg = dict(type='SyncBN', eps=0.001, requires_grad=True)
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model = dict(
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type='EncoderDecoder',
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backbone=dict(
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type='MobileNetV3',
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arch='large',
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out_indices=(1, 3, 16),
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norm_cfg=norm_cfg),
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decode_head=dict(
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type='LRASPPHead',
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in_channels=(16, 24, 960),
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in_index=(0, 1, 2),
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channels=128,
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input_transform='multiple_select',
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dropout_ratio=0.1,
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num_classes=19,
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norm_cfg=norm_cfg,
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act_cfg=dict(type='ReLU'),
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align_corners=False,
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loss_decode=dict(
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type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)))
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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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