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yadcgan-keras's Introduction

yadcgan-keras

Yet Another DCGAN for keras

The aim of DCGAN model is to be able to produce images that would be similar to the train set.

Dataset consists of ~87000 RGB images of size 48x48 from old games. Mainly images are of characters and objects. Images are at original scale. Dataset was extracted from http://spritedatabase.net/ and published with explicit permit of Paul, Sprite Database owner

Requirements:

  • python 2.7
  • keras with theano
  • opencv3, for saving files
  • joblib, to load image dump of big size
  • matplotlib, for debug output
  • GPU card for reasonable training speed

Examples:

After ~5 hours of training After ~16 hours of training

After ~30 hours of training After ~40 hours of training

yadcgan-keras's People

Contributors

dremovd avatar

Stargazers

Vít Listík avatar Ryan Shen avatar June avatar January Desk avatar Nikolay Semyachkin avatar avatar Andrey Stromnov avatar avatar avatar Artem Zarubin avatar Maxim Kochurov avatar Bogunov Ilya avatar

Watchers

Bogunov Ilya avatar James Cloos avatar avatar avatar

Forkers

techmind

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