numpy keras tensorflow PIL opencv
demo.py will download the pretrained weights, then continuously process "target.png" in the project directory, by masking out and then inpainting all pixels of the color (0, 255, 0), and displaying to a window.
Open an image in your preferred editor.
Save as target.png in the project directory
Execute demo.py with python3
Draw on image in bright green (0, 255, 0).
Save image to run inpainting algorithm
Run demo.py once to download network weights.
Build dockerfile with command sudo docker build -t inpainting .
Process an image with command
sudo docker run -v ~/full_path_to_image_dir/:/img/ inpainting /img/target.png /img/out.png