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Antoine Broyelle
78fa0772cc
Leverage python hierachical logger
with this update one can tune the kind of logs generated by timm but
training and inference traces are unchanged
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4 years ago |
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__init__.py
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Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
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5 years ago |
auto_augment.py
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Update AugMix, JSD, etc comments and references
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5 years ago |
config.py
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Leverage python hierachical logger
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4 years ago |
constants.py
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…
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dataset.py
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Add support to Dataset for class id mapping file, clean up a bit of old logic. Add results file arg for validation and update script.
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5 years ago |
distributed_sampler.py
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loader.py
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added MultiEpochsDataLoader
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4 years ago |
mixup.py
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Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
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5 years ago |
random_erasing.py
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Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
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5 years ago |
tf_preprocessing.py
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transforms.py
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Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
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5 years ago |
transforms_factory.py
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Indentation mistake. Fixes #81
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5 years ago |