Refer for details: IR_Project_Paper.pdf

Contributors: Rama Krishna Raju(rks395@nyu.edu) and Sudhir Nallam(psn240@nyu.edu)

VAE code forked from https://github.com/hwalsuklee/tensorflow-mnist-VAE.git

GAN code forked from https://github.com/carpedm20/DCGAN-tensorflow.git

Step 1: Upload the images to data/training-images/0 or 1 and data/test-images/0 or 1

Step 2: run: ./resize-script.sh 64 # size of the images would be converted to 64X64

Step 3: run: python convert-images-to-mnist-format.py

Step 1 : Copy binary format data to tmp/vae/MNIST

Step 2 : run: python vae.py --working_directory tmp/vae #Runs for 64 X 64 files only.

Step 1 : Copy binary format data to tmp/vae/MNIST

Step 2 : run: python main_gan.py --working_directory tmp/vae #Runs for 64 X 64 files only.