pytorch-image-models/timm/data
Ross Wightman 0dadb4a6e9 Initial multi-weight support, handled so old pretraing config handling co-exists with new tags. 2022-12-05 10:21:34 -08:00
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readers cast env var args for dataset readers to int 2022-10-17 14:40:11 -07:00
__init__.py Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc 2022-10-14 15:14:38 -07:00
auto_augment.py Follow up to #1256, fix interpolation warning in auto_autoaugment as well 2022-06-21 14:56:53 -07:00
config.py Initial multi-weight support, handled so old pretraing config handling co-exists with new tags. 2022-12-05 10:21:34 -08:00
constants.py Add hf hub entries for laion2b clip models, add huggingface_hub dependency, update some setup/reqs, torch >= 1.7 2022-09-16 21:39:05 -07:00
dataset.py Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc 2022-10-14 15:14:38 -07:00
dataset_factory.py Fix comment: https://github.com/rwightman/pytorch-image-models/pull/1564#issuecomment-1326743424 2022-11-25 09:52:52 +08:00
distributed_sampler.py Significant model refactor and additions: 2022-02-28 13:56:23 -08:00
loader.py Set num_workers in Iterable WDS/TFDS datasets early so sample estimate is correct 2022-10-11 15:11:18 -07:00
mixup.py Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones. 2022-01-14 16:28:27 -08:00
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
tf_preprocessing.py
transforms.py use `Image.Resampling` namespace for PIL mapping (#1256) 2022-06-12 22:30:57 -07:00
transforms_factory.py Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones. 2022-01-14 16:28:27 -08:00