Automatic Video Colourisation Through Spatial Colour Adjustment

Information

This is an automatic video colourisation application created by Oliver James ([email protected]) for the University of Bath Department of Computer Science final year project.

A ZIP file containing some examples of output videos from this application can be downloaded at https://drive.google.com/file/d/1ZcnuGgaDEmt1wGRL0OOzSOzfFHchgjA4/view?usp=sharing .

Get Started

1. Open a bash terminal and clone this Github repository to your local machine.

git clone https://github.com/osjjames/colour_fyp.git

2. Navigate to the repository.

cd colour_fyp

3. Build and run the Docker container (this may take a few minutes).

docker-compose build && docker-compose up

4. Open a web browser and navigate to localhost:8888. You may change the port mapping in the .env file if you wish.

5. Enter the password test. Click on the file getStarted.ipynb. You are now in a Jupyter notebook running the application.

6. To test the application, place a video file in the colour_fyp/videos directory. Set the video_name variable in the notebook to the name of the video file (e.g. "test_video.mp4"). Finally, click "Run" at the top of the page. When completed, the output video will appear in the colour_fyp/videos directory.