An API implementation of CyclicGAN network.
Project description
CyclicGAN
This API is an implementation of the CyclicGAN
been presented in the original paper.
CylicGAN is a special type of GAN network which works with Unpaired Data to extract mapping between the two domains (X and Y). We generally have two Generator networks and two Discriminator networks to criticize the work of the Generators. Apart from the Adversarial loss
, we also have cyclic consistency loss
which makes sure that any mapping of the image from the domain X
to domain Y
has the same reverse mapping.
This API aims to makes it easy for developers to train and infer from a CyclicGAN model.
Steps to Setup:
- Clone the repo.
- Run
python setup.py install
- API has been installed as a python package and now you can directly use its functionalities.
You can also follow this tutorial notebook to get an idea of the functionality of this API.
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