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https://github.com/open-mmlab/mmpretrain.git
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29f066f7fb
* [Improve] Speed up data preprocessor. * Add ClsDataSample serialization override functions. * Add unit tests * Modify configs to fit new mixup args. * Fix `num_classes` of the ImageNet-21k config. * Update docs.
23 lines
551 B
Python
23 lines
551 B
Python
model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='RepVGG',
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arch='B3',
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out_indices=(3, ),
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),
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neck=dict(type='GlobalAveragePooling'),
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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=2560,
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loss=dict(
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type='LabelSmoothLoss',
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loss_weight=1.0,
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label_smooth_val=0.1,
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mode='classy_vision',
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num_classes=1000),
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topk=(1, 5),
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),
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train_cfg=dict(augments=dict(type='Mixup', alpha=0.2)),
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)
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