Skip to main content
Python Software Foundation 20th Year Anniversary Fundraiser  Donate today!

Fast style transfer API

Project description

faststyle

Faststyle aims to provide an easy and modular interface to Image to Image problems based on feature loss.

Install

Making sure you have a working installation of 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, 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for faststyle, version 0.0.4
Filename, size File type Python version Upload date Hashes
Filename, size faststyle-0.0.4-py3-none-any.whl (13.6 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size faststyle-0.0.4.tar.gz (12.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page