Ruslan Baikulov 158bf129c4 Replace deprecated NumPy aliases of builtin types		2023-07-03 22:24:25 +03:00
..
_info	Add Microsoft FocalNet specific ('ms') ImageNet-22k classifier layout	2023-03-18 14:57:34 -07:00
readers	Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels	2023-01-09 16:28:47 -08:00
__init__.py	Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg	2023-02-08 08:29:20 -08:00
auto_augment.py	Fix #1713 missed assignement in 3-aug level fn, fix few other minor lint complaints in auto_augment.py	2023-03-11 14:32:23 -08:00
config.py	Cleanup resolve data config fns, add 'model' variant that takes model as first arg, make 'args' arg optional in original fn	2023-01-20 14:47:55 -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	Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels	2023-01-09 16:28:47 -08:00
dataset_factory.py	Allow using class_map functionality w/ IterableDataset (TFDS/WDS) to remap class labels	2023-01-09 16:28:47 -08:00
dataset_info.py	Improve support for custom dataset label name/description through HF hub export, via pretrained_cfg	2023-02-08 08:29:20 -08:00
distributed_sampler.py	…
imagenet_info.py	Add Microsoft FocalNet specific ('ms') ImageNet-22k classifier layout	2023-03-18 14:57:34 -07:00
loader.py	Merge pull request #212 from bryant1410/patch-1	2023-04-20 07:09:27 -07:00
mixup.py	Replace deprecated NumPy aliases of builtin types	2023-07-03 22:24:25 +03:00
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	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.	2023-02-06 17:45:03 -08:00
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