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pytorch-image-models
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12 Commits (2916f37f8d862cd4fcbc86c858b23894daec3339)

Author SHA1 Message Date
Ross Wightman e3b2f5be0a 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
Ross Wightman 9da7e3a799 Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
2 years ago
Ross Wightman 656757d26b Fix MobileNetV2 head conv size for multiplier < 1.0. Add some missing modification copyrights, fix starting date of some old ones.
3 years ago
Ross Wightman a41de1f666 Add interpolation mode handling to transforms. Removes InterpolationMode warning. Works for torchvision versions w/ and w/o InterpolationMode enum. Fix #738.
3 years ago
Ross Wightman d584e7f617 Support for huggingface hub via create_model and default_cfgs.
4 years ago
Ross Wightman e62758cf4f More documentation updates, fix a typo
4 years ago
Ross Wightman fa28067704 Add more augmentation arguments, including a no_aug disable flag. Fix #209
4 years ago
Ross Wightman 6c17d57a2c Fix some attributions, add copyrights to some file docstrings
4 years ago
Ross Wightman d66819d1f3 Indentation mistake. Fixes #81
5 years ago
Ross Wightman 3eb4a96eda Update AugMix, JSD, etc comments and references
5 years ago
Ross Wightman 7547119891 Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together
5 years ago
Ross Wightman 232ab7fb12 Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl
5 years ago