A Tensorflow implementation for A Neural Algorithm of Artistic Style (Gatys et al. 2015)
The styletransfer package is a handy implementation of the Neural Style Transfer Algorithm. It is well stuctured and documented. To get an overview of how to use the package, see Demo.ipynb
- Ubuntu 16.04
- Tensorflow-gpu 1.3.0 +
- Scipy
- Numpy
- Pillow
- Jupyter
- Matplotlib
To quickly build the same environment as the author's, use the provided environment.yml file
conda env create -f environment.yml./
.
├── data
│ ├── content/ # your content photgraphs
│ └── style/ # your images of artworks
├── Demo.ipynb
├── README.md
├── report
├── styletransfer
│ ├── artist.py
│ ├── __init__.py
│ ├── io.py
│ ├── layers.py
│ ├── optimizer.py
│ └── vgg19.py- The project website is under construction, you can expect to see it come out in May. 2018.
- After 1 is done, the package will be optimized, you can expect a revision in Jan. 2018 and the release of version 1.0.