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Fast style transfer API

Project description

Welcome to faststyle

This is still in early development, expect lots of API changes.

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

Start by taking a look at simple.ipynb for a high level view of the library. If you want a more low level approach take a look at hats_on_cats.ipynb were with few lines of modification we can change our task completely to put hats on cats!


Making sure you have a working installation of fastai2. 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
cd faststyle
pip install -e .


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 build 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.

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