Face Conversion using Conditional GAN

Demo

installation

sudo pip3 install tensorflow
sudo pip3 install keras
sudo pip3 install Pillow
scipy and numpy will automatically get installed

Contents

open jupyter notebook " Experiment-4.ipynb" to view training code
open jupyter notebook " tester.ipynb" to view testing code.

for floyd hub

run terminal in this directory
floyd login
floyd init project
floyd run --mode jupyter --env tensorflow --gpu
now run cells one after another

requirements

keras -2.0.2
tensorflow -1.0.1
PIL or Pillow
python 3
numpy
scipy

thank you to

https://github.com/legokichi/keras-pix2pix

https://github.com/ray0809/pix2pix

https://github.com/wiseodd/generative-models

https://github.com/r0nn13/conditional-dcgan-keras

https://github.com/yiyuezhuo/GAN_experiment

you tube

https://www.youtube.com/user/hvasslabs

https://www.youtube.com/watch?v=u7kQ5lNfUfg

blogs to read

https://blog.openai.com/generative-models/

http://blog.aylien.com/introduction-generative-adversarial-networks-code-tensorflow/

https://affinelayer.com/pix2pix/

https://bamos.github.io/2016/08/09/deep-completion/

http://www.foldl.me/2015/conditional-gans-face-generation/

http://wiseodd.github.io/techblog/2016/12/24/conditional-gan-tensorflow/

online demo

https://affinelayer.com/pixsrv/

future use

https://github.com/richliao/SketchToFace