Ross Wightman d5aa17e415 Remove print from auto_augment		2022-12-28 17:11:35 -08:00
..
readers	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.	2022-12-22 21:34:13 -08:00
__init__.py	Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc	2022-10-14 15:14:38 -07:00
auto_augment.py	Remove print from auto_augment	2022-12-28 17:11:35 -08:00
config.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
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.py	Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc	2022-10-14 15:14:38 -07:00
dataset_factory.py	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.	2022-12-22 21:34:13 -08:00
distributed_sampler.py	Significant model refactor and additions:	2022-02-28 13:56:23 -08:00
loader.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
mixup.py	…
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	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.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	Add 3-Augment support to auto_augment.py, clean up weighted choice handling, and allow adjust per op prob via arg string	2022-12-10 16:25:50 -08:00