KERAS-DCGAN

This trains two adversarial deep learning models on real images, in order to produce artificial images that look real.

The generator model tries to produce images that look real and get a high score from the discriminator.

The discriminator model tries to tell apart between real images and artificial images from the generator.

Usage

Training:

python dcgan.py --mode train --batch_size <batch_size>

python dcgan.py --mode train --path ~/images --batch_size 128

Image generation:

python dcgan.py --mode generate --batch_size <batch_size>

python dcgan.py --mode generate --batch_size <batch_size> --nice : top 5% images according to discriminator

python dcgan.py --mode generate --batch_size 128

Result

generated images :

train process :

Install Dependencies

pip3 install -r requirements.txt