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Ross Wightman
d5aa17e415
Remove print from auto_augment
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1 year ago |
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readers
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Support HF datasets and TFSD w/ a sub-path by fixing split, fix #1598 ... add class mapping support to HF datasets in case class label isn't in info.
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1 year ago |
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__init__.py
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Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc
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2 years ago |
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auto_augment.py
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Remove print from auto_augment
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1 year ago |
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config.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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1 year ago |
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constants.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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1 year ago |
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dataset.py
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Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc
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2 years ago |
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dataset_factory.py
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Support HF datasets and TFSD w/ a sub-path by fixing split, fix #1598 ... add class mapping support to HF datasets in case class label isn't in info.
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1 year ago |
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distributed_sampler.py
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Significant model refactor and additions:
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2 years ago |
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loader.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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1 year ago |
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mixup.py
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Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones.
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2 years ago |
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random_erasing.py
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Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed.
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2 years ago |
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real_labels.py
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Fix a bug with accuracy retrieving from RealLabels
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4 years ago |
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tf_preprocessing.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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1 year ago |
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transforms.py
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Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
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1 year ago |
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transforms_factory.py
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Add 3-Augment support to auto_augment.py, clean up weighted choice handling, and allow adjust per op prob via arg string
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1 year ago |
