mirror of
https://github.com/open-mmlab/mmclassification.git
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060b0ed3b5
* [Feature] Support ConvNeXt-V2. * Use registry of mmcls instead of mmengine. * Add README. * Add unit tests and docs.
20 lines
565 B
Python
20 lines
565 B
Python
# Model settings
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model = dict(
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type='ImageClassifier',
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backbone=dict(type='ConvNeXt', arch='xlarge', drop_path_rate=0.5),
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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=2048,
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loss=dict(
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type='LabelSmoothLoss', label_smooth_val=0.1, mode='original'),
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init_cfg=None,
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),
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init_cfg=dict(
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type='TruncNormal', layer=['Conv2d', 'Linear'], std=.02, bias=0.),
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train_cfg=dict(augments=[
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dict(type='Mixup', alpha=0.8),
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dict(type='CutMix', alpha=1.0),
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]),
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)
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