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Ross Wightman 0f2803de7a 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.		2 years ago
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_info	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.	2 years ago
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.	2 years ago
__init__.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.	2 years ago
auto_augment.py	Remove print from auto_augment	2 years ago
config.py	Cleanup resolve data config fns, add 'model' variant that takes model as first arg, make 'args' arg optional in original fn	2 years ago
constants.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
dataset.py	Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc	2 years ago
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.	2 years ago
dataset_info.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.	2 years ago
distributed_sampler.py	Significant model refactor and additions:	3 years ago
imagenet_info.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.	2 years ago
loader.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
mixup.py	Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones.	3 years ago
random_erasing.py	Refactor device handling in scripts, distributed init to be less 'cuda' centric. More device args passed through where needed.	2 years ago
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.	2 years ago
tf_preprocessing.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
transforms.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	2 years ago
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	2 years ago