Comments (3)
@Libaishun yes you are correct! Both methods are suitable for performing multi-scale image augmentation. Exact results depend on model, dataset, etc.
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@glenn-jocher setting multi-scale=True in train.py seems use much more cuda memory than disable it.
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
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