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Ross Wightman 7266c5c716 Merge branch 'main' into focalnet_and_swin_refactor		1 year ago
..
_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.	1 year ago
readers	Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels	1 year ago
__init__.py	Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg	1 year ago
auto_augment.py	Remove print from auto_augment	1 year ago
config.py	Cleanup resolve data config fns, add 'model' variant that takes model as first arg, make 'args' arg optional in original fn	1 year ago
constants.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	1 year ago
dataset.py	Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels	1 year ago
dataset_factory.py	Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels	1 year ago
dataset_info.py	Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg	1 year ago
distributed_sampler.py	Significant model refactor and additions:	2 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.	1 year ago
loader.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	1 year ago
mixup.py	Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones.	2 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.	1 year ago
tf_preprocessing.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	1 year ago
transforms.py	Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate	1 year 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	1 year ago