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A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms. This project is currently in development and not feature complete for a version 1.0 yet. If you don't mind putting up with broken parts or want to help out, run the Docker image and give it a go. I'd love for other contributors to get involved. You can move some photos into the folder data/photos and they should get detected and imported immediately. Once you have finished trying out the system you can edit the volume in the docker-compose.yml file where it says ./data/photos to mount wherever you usually keep photos. System database, thumbnails and other cache data is stored separately from the photos so shouldn't pollute the area. You are responsible for keeping your own backups in case of error.
Features
- PyTest is used as a test runner and for creating fixtures
- The easiest way to run it is with Docker Compose using the pre-built image following these steps
- Create a new directory to run inside
- Download the example Docker Compose file
- Make volume directories for data stored outside the container
- Bring up Docker Compose which will pull and run the required Docker images
Project Samples
