Skip to content

vacancy/PyPatchMatch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PatchMatch based Inpainting

This library implements the PatchMatch based inpainting algorithm. It provides both C++ and Python interfaces. This implementation is heavily based on the implementation by Younesse ANDAM: (younesse-cv/PatchMatch)[https://github.com/younesse-cv/PatchMatch], with some bugs fix.

Usage

You need to first install OpenCV to compile the C++ libraries. Then, run make to compile the shared library libpatchmatch.so.

For Python users (example available at examples/py_example.py)

import patch_match

image = ...  # either a numpy ndarray or a PIL Image object.
mask = ...   # either a numpy ndarray or a PIL Image object.
result = patch_match.inpaint(image, mask, patch_size=5)

For C++ users (examples available at examples/cpp_example.cpp)

#include "inpaint.h"

int main() {
    cv::Mat image = ...
    cv::Mat mask = ...

    cv::Mat result = Inpainting(image, mask, 5).run();

    return 0;
}

README and COPYRIGHT by Younesse ANDAM

@Author: Younesse ANDAM

@Contact: [email protected]

Description: This project is a personal implementation of an algorithm called PATCHMATCH that restores missing areas in an image. The algorithm is presented in the following paper PatchMatch A Randomized Correspondence Algorithm for Structural Image Editing by C.Barnes,E.Shechtman,A.Finkelstein and Dan B.Goldman ACM Transactions on Graphics (Proc. SIGGRAPH), vol.28, aug-2009

For more information please refer to http://www.cs.princeton.edu/gfx/pubs/Barnes_2009_PAR/index.php

Copyright (c) 2010-2011

Requirements

To run the project you need to install Opencv library and link it to your project. Opencv can be download it here http://opencv.org/downloads.html

About

PatchMatch based image inpainting for C++ and Python.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published