Neural_style_transfer

Neural Style Transfer refers to a class of software algorithms that manipulate digital images, or videos, to adopt the appearance or visual style of another image. NST algorithms are characterized by their use of deep neural networks in order to perform the image transformation.

Implementation of the following paper

https://zpascal.net/cvpr2016/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf

Installing

Installing dependencies

pip install requirements.txt

Running the app

Open the repository folder and run

flask run

or

python app.py

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Coursera for inspiration