DCGAN model, utils and ops based on updated version of: https://github.com/sinanatra/DCGAN-Art-Tensorflow (by @sinanatra).
Please use Colab / main.ipynb Notebook file for details (provided separately).
- Python 2.7 or Python 3.3+
- Tensorflow 1
- SciPy
- pillow
Train your own dataset:
$ mkdir data/DATASET_NAME
... add images to data/DATASET_NAME ...
$ python main.py --dataset DATASET_NAME --train
$ python main.py --dataset DATASET_NAME
$ # example
$ python main.py --dataset=eyes --input_fname_pattern="*_cropped.png" --train
If your dataset is located in a different root directory:
$ python main.py --dataset DATASET_NAME --data_dir DATASET_ROOT_DIR --train
$ python main.py --dataset DATASET_NAME --data_dir DATASET_ROOT_DIR
$ # example
$ python main.py --dataset=eyes --data_dir ../datasets/ --input_fname_pattern="*_cropped.png" --train