27 lines
668 B
Python
27 lines
668 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='LeViT',
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arch='256',
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img_size=224,
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patch_size=16,
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drop_path_rate=0,
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attn_ratio=2,
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mlp_ratio=2,
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out_indices=(2, )),
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neck=dict(type='GlobalAveragePooling'),
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head=dict(
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type='LeViTClsHead',
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num_classes=1000,
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in_channels=512,
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distillation=True,
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loss=dict(
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type='LabelSmoothLoss', label_smooth_val=0.1, loss_weight=1.0),
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topk=(1, 5),
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),
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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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