Style transfer using deep neural network.
Style transfer using Deep Neural Network.
This implementation is based off of a combination of:
- A Neural Algorithm of Artistic Style by Gatys et al. (2015)
- Perceptual Losses for Real-Time Style Transfer and Super-Resolution by Johnson et al. (2016)
- Instance Normalization: The Missing Ingredient for Fast Stylization by Ulyanov et al. (2017)
Full documentation, including installation and setup guides, can be found at http://stylish.readthedocs.io/en/stable/
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|stylish-0.2.0-py3-none-any.whl (16.7 kB) Copy SHA256 hash SHA256||Wheel||py3|
|stylish-0.2.0.tar.gz (19.6 kB) Copy SHA256 hash SHA256||Source||None|