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pytorch-image-models
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pytorch-image-models
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Ryan Ramos
81900a6bae
remove download argument from torch_kwargs
2025-05-09 07:34:32 -07:00
..
_info
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readers
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__init__.py
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auto_augment.py
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config.py
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constants.py
Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
2022-12-05 10:21:34 -08:00
dataset_factory.py
remove download argument from torch_kwargs
2025-05-09 07:34:32 -07:00
dataset_info.py
Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg
2023-02-08 08:29:20 -08:00
dataset.py
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distributed_sampler.py
Significant model refactor and additions:
2022-02-28 13:56:23 -08:00
imagenet_info.py
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loader.py
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mixup.py
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random_erasing.py
Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed.
2022-09-23 16:08:59 -07:00
real_labels.py
Move ImageNet metadata (aka info) files to timm/data/_info. Add helper classes to make info available for labelling. Update inference.py for first use.
2023-02-06 17:45:03 -08:00
tf_preprocessing.py
Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
2022-12-05 10:21:34 -08:00
transforms_factory.py
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transforms.py
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