25 lines
646 B
Python
25 lines
646 B
Python
# 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='ResNeSt',
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depth=101,
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num_stages=4,
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stem_channels=128,
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out_indices=(3, ),
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style='pytorch'),
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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=2048,
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loss=dict(
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type='LabelSmoothLoss',
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label_smooth_val=0.1,
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num_classes=1000,
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reduction='mean',
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loss_weight=1.0),
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topk=(1, 5),
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cal_acc=False))
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train_cfg = dict(mixup=dict(alpha=0.2, num_classes=1000))
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