> For the complete documentation index, see [llms.txt](https://mmunar97.gitbook.io/inpyinting/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mmunar97.gitbook.io/inpyinting/master.md).

# Introduction

## Acknowledgements

Some of the methods considered in the library have been based on other implementations already made. In particular:

* An implementation of the inpainting method based on Exemplar-Based, by Criminisi et al, that can be found [here](https://github.com/S12P/Inpainting).
* The implementation of different inpainting methods based on partial derivative equations, that can be found [here](https://github.com/simoneparisotto/MATLAB-Python-inpainting-codes).

## Installation

To install the library, just run the following line of code. The library will be installed, as well as the different associated packages.

```
pip install inPYinting
```

## Authorship

The library has been developed under the lines of research of the [SCOPIA](https://scopia.uib.es/) research group, in the [University of the Balearic Islands](https://www.uib.eu/).

The person in charge of maintaining the library is Marc Munar, Assistant Lecturer at the UIB. For more information, visit his [curriculum ](https://www.uib.eu/personal/ABjMxNDU1Nw/)or contact him at <marc.munar@uib.es>.