24 lines
632 B
Python
24 lines
632 B
Python
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# Model settings
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model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='ConvNeXt',
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arch='tiny',
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out_indices=(3, ),
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drop_path_rate=0.1,
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gap_before_final_norm=True,
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init_cfg=[
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dict(
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type='TruncNormal',
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layer=['Conv2d', 'Linear'],
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std=.02,
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bias=0.),
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dict(type='Constant', layer=['LayerNorm'], val=1., bias=0.),
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]),
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head=dict(
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type='LinearClsHead',
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num_classes=1000,
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in_channels=768,
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loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
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))
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