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pytorch-image-models/timm/data
Ross Wightman d5aa17e415
Remove print from auto_augment
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 Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc 2 years ago
auto_augment.py Remove print from auto_augment 2 years ago
config.py Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate 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
distributed_sampler.py Significant model refactor and additions: 3 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
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
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