Optimized for python 3.6
This project aims in implementing a image GAN. Ideally will be used to learn and generate artists/cartoonists painting styles or in generation of new unique landscapes/scenes.
For installing the requirements, in your venv or anaconda env, just run the following command:
pip install -r requirements.txt
.
└── grzmot-gan
├── data
│ ├── generated_data
│ │ └── generated_data
│ │ └── 2020-04-02
│ │ ├── gan_generated_1.png
│ │ ├── ...
│ │ └── gan_generated_20.png
│ └── train_data
│ ├── img_0.jpg
│ ├── ...
│ └── img_128.jpg
├── docs
│ └── CREDITS
├── src
│ ├── __init__.py
│ └── settings.json
├── tests
│ └── unittests
│ └── __init__.py
├── .gitignore
├── LICENSE
├── README.md
└── requirements.txt
- data: The data dir. Group of non-script support files.
- docs: The documentation dir.
- src: The scripts & source code dir.
- tests: The unittests dir.
Section aimed on clarifying some running issues.
For running it, at the ~/src
directory just run:
python fitting.py
or, if importing it as a module, just run:
from fitting import training
if __name__ == '__main__':
training(100, 128)