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.
Inside the project's directory run:
pip install -r requirements.txt
to install the dependencies.
Download NumPy and SciPy from here, being the number after cp your version of python. (e.g. if you have python 3.5 64 bits download numpy‑1.13.1+mkl‑cp35‑cp35m‑win_amd64.whl and scipy‑0.19.1‑cp35‑cp35m‑win_amd64.whl)
Then run pip install <path to downloaded file> for each file.
After this, inside the project's directory, run:
pip install -r requirements.txt
to install the other dependencies.
Inside the project's directory run:
python inpainter <path to image> <path to mask>
You can also pass the --plot-progress argument to watch the image being created. For example, use:
python inpainter resources/image1.jpg resources/mask1.jpg --plot-progress
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 inpainter -h to show the available arguments.