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| # image2coloringbook | |
|  | |
| A simple tool that converts an image into a coloring book. It runs on a custom implementation of the k-means clustering algorithm by default but comes with the option to use scikit-learn's implementation. | |
| This [Colab notebook](https://colab.research.google.com/drive/1S91AsP2XHUKuxtUBEaFlboWd8ScAndcz?usp=sharing) explains how the coloring books are generated. | |
| ## Usage | |
| Once you downloaded or cloned this repo, open the directory in your terminal. | |
| If you have conda installed: | |
| ```shell | |
| conda env create -f environment.yml | |
| conda activate image2coloringbook | |
| ``` | |
| Otherwise create a virtual environment and install with pip | |
| ```shell | |
| python -m venv image2coloringbook | |
| image2coloringbook\Scripts\activate.bat | |
| pip install -r requirements.txt | |
| ``` | |
| Once all requirements are installed, you can run the web ui with | |
| ```shell | |
| gradio app.py | |
| ``` |