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According to the documentation, there are 2 ways in which you can introduce augmentations in the config file. Could you please tell me what's the difference between them?
Hello,
According to the documentation, there are 2 ways in which you can introduce augmentations in the config file. Could you please tell me what's the difference between them?
train_cfg=dict(augments=[ dict(alpha=0.2, type='Mixup')
data_preprocessor=dict(batch_augments=[ dict(alpha=0.2, type='Mixup')])
Thanks!
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