DCGAN in TensorLayer

THIS PROJECT IS BASED ON https://github.com/tensorlayer/dcgan

This is the TensorLayer implementation of Deep Convolutional Generative Adversarial Networks usable for binding of isaac sprites.

Prerequisites

  • Python3.5 3.6
  • TensorFlow==2.0.0a0 pip3 install tensorflow-gpu==2.0.0a0
  • TensorLayer=2.1.0 pip3 install tensorlayer==2.1.0

Usage

First, put the sprites you like to use into a data folder. Optional: Use the FileConverter to turn png files into jpeg files. (look into that for more informations) $ python fileConverter.py

Second, train the GAN:

$ python train.py

This process will take a while (~1second per epoch) Resulting images can be found in the "samples" folder.

Further configuration in the data.py file