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smart_augmentation/README.md

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Ajout d'un Readme
2020-01-24 15:19:49 -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
Test ajout image Readme
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Look to 'test_dataug.py'
images readme
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![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")
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