smart_augmentation/README.md
Harle, Antoine (Contracteur) 9e42d0cce2 images readme
2020-01-27 17:53:44 -05:00

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'Smart_aug' is module to make data_augmentation differentiable, thus allowing to learn its parameters, with 'Data_aug' classes.
# Requirements and Installation
* Python version >= 3.5
* PyTorch version >= 1.3
* Higher version >=
# Example Usage
Look to 'test_dataug.py'
![Optimization process](docs/smart_aug_optim.png "Optimization process")
![Forward data augmentation](docs/smart_aug_forward.png "Forward data augmentation")
![UML](docs/smart_aug_uml.png "UML")