{"repo":"photonixapp/photonix","free":true,"listed":false,"github":"https://github.com/photonixapp/photonix","clone":"git clone https://github.com/photonixapp/photonix.git","description":"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.","language":"Python","stars":1955,"topics":["photo","photography","django","javascript","react","web","gallery","management","python","tensorflow"],"license":"AGPL-3.0","category":"machine-learning","readme_excerpt":"Photonix Photo Manager This is a photo management application based on web technologies. Run it on your home server and it will let you find what you want from your photo collection using any device. Smart filtering is made possible automatically by object recognition, location awareness, color analysis and other 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. Community and Social Please join in the discussion and help us gain visibility by following us on social media. Much appreciated :) - Gitter live chat - Docker Hub - Twitter - Instagram - LinkedIn - Indie Hackers Sponsorship If you get value from Photonix or like where we're heading then we'd really appreciate it if you considered sponsoring us on a monthly basis. - GitHub Sponsors - Patreon Installing & Running 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 and download the example Docker Compose file. mkdir photonix cd photonix curl https://raw.githubusercontent.com/photonixapp/photonix/master/docker/docker-compose.example.yml docker-compose.yml Make volume directories for data stored outside the container. mkdir -p data/photos Bring up Docker Compose which will pull and run the required Docker images. docker-compose up A few ","default_branch":null,"files":null,"tree":[],"storefront":"/r/photonixapp","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/photonixapp/photonix/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}