This is the implementation of the algorithm described in the paper "Region Filling and Object Removal by Exemplar-Based Image Inpainting" by A. Criminisi et al.
Requires python 3.5 or newer. You can download it here.
Get inside the project's directory, activate your conda environment(if it`s necessary) and run:
pip install -r requirements.txt
to install the dependencies.
Recommend to use Anaconda to manage your virtual environments
After install this, inside the project's directory and activate your conda environment, run:
pip install -r requirements.txt
to install the other dependencies.
Inside the project's directory run:
python __main__.py [-h] [-ps PATCH_SIZE] [-o OUTPUT] [-p] [-i INPUT_IMAGE] [-m MASK]
You can also pass the -p argument to watch the image being created. For example, use:
python __main__.py -i ../resources/image1.jpg -m ../resources/mask1.jpg
to process image1 inside resources folder using mask1 while printing each result. I provided some images from the paper inside the resources folder.
Use python __main__.py -h to show the available arguments.
It proformance well on a small scale, however, with scale increasing, it gets worst.
Some reslut of repair:
result of image2
result of image3
result of image9
An anvanced version of this programme has been posted on here, it performances better than before.