24 lines
779 B
Python
24 lines
779 B
Python
_base_ = './mobilenet-v3-d8_lraspp_4xb4-320k_cityscapes-512x1024.py'
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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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pretrained='open-mmlab://contrib/mobilenet_v3_small',
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backbone=dict(
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type='MobileNetV3',
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arch='small',
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out_indices=(0, 1, 12),
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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, 16, 576),
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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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