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A real-time image style transfer project based on AdaIn and VGG network , python flask as frontend and HTML5 as backend , project of AI Introduction, a course of Peking Unicersity

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ShiZhuming/StyleTransfer

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Image Style Transfer

Introduction

This is a project of AI Introduction , a course of Peking University.

Our website is http://pkuszm.cn/show

Authors

Zhuming Shi, Weibo Xu, Yiming Zhao

Dependence

Python 3 only

$ apt-get install python3.6

Use requirements.txt to install packages

$ pip3 install -r requirements.txt

Structure

StyleTransfer/
├── LICENSE
├── README.md
├── start.py
├── function.py
├── net.py
├── train.py
├── convert.py
├── favicon.ico
├── image
|   └──  upload
|       ├── content
|       ├── style
|       └── convert
├── static
├── templates
|   ├── index.html
|   ├── show.html
|   └── submissions.html
├── test.py
├── .gitignore
└── requirements.txt

References

  1. Gatys, Leon A., A. S. Ecker, and M. Bethge. "Image Style Transfer Using Convolutional Neural Networks." Computer Vision & Pattern Recognition 2016.

  2. Huang, Xun, and S. Belongie. "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization." 2017.

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A real-time image style transfer project based on AdaIn and VGG network , python flask as frontend and HTML5 as backend , project of AI Introduction, a course of Peking Unicersity

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