Stylist is a Django webapp that uses convolutional neural networks for fast artistic style transfer. It is inspired by Prisma.
This project is a work in progress, but here is how it looks so far,
and here is an example of what it can do already:
Stylist serves as a fun practical example for me to better understand how to train and serve neural networks at scale. If you'd like to learn more about the theory underlying this project, you will find the following interesting:
- Convolutional neural networks for artistic style transfer
- Fast neural style transfer with Django and TensorFlow (Upcoming)
- fast_neural_style_transfer.ipynb (Upcoming)
Authors and contributing
Stylist is primarily written and maintained by Harish Narayanan.
Copyright and license
Copyright (c) 2016 Harish Narayanan.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.