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pytorch-image-models
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Ross Wightman
d5aa17e415
Remove print from auto_augment
2022-12-28 17:11:35 -08:00
..
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.
2022-12-22 21:34:13 -08:00
__init__.py
…
auto_augment.py
Remove print from auto_augment
2022-12-28 17:11:35 -08:00
config.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
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_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.
2022-12-22 21:34:13 -08:00
dataset.py
…
distributed_sampler.py
…
loader.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
mixup.py
…
random_erasing.py
…
real_labels.py
…
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_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
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