InfoGAN implementation using tensorflow
Tensorflow(>=1.4)
OpenCV
NumPy
For training:
sh train.sh
For testing:
sh test.sh
The results will be saved in /path/to/model_dir/test
Modify categorical latent code from 0 to 9(top to bottom) and
continuous latent code(c1(width) or c2(rotation)) from -2 to 2(left to right)
https://github.com/burness/tensorflow-101/tree/master/GAN/Info-GAN