https://github.com/lgvaz/faststyle

Fast style transfer
https://github.com/lgvaz/faststyle

deep-style-transfer fast-style-transfer style-transfer

Last synced: 2 months ago
JSON representation

Fast style transfer

• Host: GitHub
• URL: https://github.com/lgvaz/faststyle
• Owner: lgvaz
• License: apache-2.0
• Created: 2020-02-27T22:27:20.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2023-04-11T23:51:06.000Z (over 1 year ago)
• Last Synced: 2024-10-24T15:57:00.942Z (2 months ago)
• Topics: deep-style-transfer, fast-style-transfer, style-transfer
• Language: Jupyter Notebook
• Size: 47.6 MB
• Stars: 21
• Watchers: 3
• Forks: 0
• Open Issues: 14
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-fastai - faststyle - aims to provide an easy and modular interface for image to image problems based on feature loss (Libraries / Computer Vision)

README

        
# faststyle

> Faststyle aims to provide an easy and modular interface to Image to Image problems based on [feature loss](https://arxiv.org/abs/1603.08155).

## Install

Making sure you have a working installation of [fastai](https://github.com/fastai/fastai). You can then install the library by doing:

```

pip install faststyle

```

You can instead use a editable install, which is more recommended since the lib is chaging a lot:

```

git clone https://github.com/lgvaz/faststyle.git

cd faststyle

pip install -e .

```

## Contributing

There are still tons of things to do in the library, you're welcome to contribute. Some of the tasks are listed in the issues, feel free to contact me directly for more info =)  .

The library is built with [nbdev](https://github.com/fastai/nbdev), I'm following the coding style used by fastai (the only difference being that I use 2 spaces for indentation instead of 4), take a look at the cotribution guideline [here](https://github.com/fastai/nbdev/blob/master/CONTRIBUTING.md).