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_info
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Add Microsoft FocalNet specific ('ms') ImageNet-22k classifier layout
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2023-03-18 14:57:34 -07:00 |
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readers
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Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels
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2023-01-09 16:28:47 -08:00 |
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__init__.py
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Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg
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2023-02-08 08:29:20 -08:00 |
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auto_augment.py
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Fix #1713 missed assignement in 3-aug level fn, fix few other minor lint complaints in auto_augment.py
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2023-03-11 14:32:23 -08:00 |
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config.py
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Cleanup resolve data config fns, add 'model' variant that takes model as first arg, make 'args' arg optional in original fn
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2023-01-20 14:47:55 -08:00 |
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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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2022-12-05 10:21:34 -08:00 |
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dataset.py
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Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels
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2023-01-09 16:28:47 -08:00 |
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dataset_factory.py
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Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels
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2023-01-09 16:28:47 -08:00 |
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dataset_info.py
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Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg
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2023-02-08 08:29:20 -08:00 |
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distributed_sampler.py
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Significant model refactor and additions:
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2022-02-28 13:56:23 -08:00 |
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imagenet_info.py
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Add Microsoft FocalNet specific ('ms') ImageNet-22k classifier layout
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2023-03-18 14:57:34 -07:00 |
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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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2022-12-05 10:21:34 -08:00 |
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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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2022-01-14 16:28:27 -08:00 |
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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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2022-09-23 16:08:59 -07:00 |
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real_labels.py
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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.
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2023-02-06 17:45:03 -08:00 |
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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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2022-12-05 10:21:34 -08:00 |
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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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2022-12-05 10:21:34 -08:00 |
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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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2022-12-10 16:25:50 -08:00 |
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