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pytorch-image-models/timm/data
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Ross Wightman d1e0a4607d
Switch TFDS dataset to use INTEGER_ACCURATE jpeg decode by default 		2 years ago
..
readers Switch TFDS dataset to use INTEGER_ACCURATE jpeg decode by default 2 years ago
__init__.py Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc 2 years ago
auto_augment.py Follow up to #1256, fix interpolation warning in auto_autoaugment as well 3 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 Rename dataset/parsers -> dataset/readers, create_parser to create_reader, etc 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 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 Fix a bug with accuracy retrieving from RealLabels 4 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 crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate 2 years ago