Photos
Open source "alternative" to Google Photos (for Frappe)
- Author: gavindsouza
- Repository: https://github.com/gavindsouza/photos
- GitHub stars: 17
- Forks: 8
- License: MIT
- Category: Developer Tools
- Maintenance: Unmaintained
Install Photos
bench get-app https://github.com/gavindsouza/photos
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About Photos
## Photos
AI Powered Facial Recognition & Photos Clustering (like Google Photos) for your Frappe sites.
[](https://frappecloud.com/marketplace/apps/photos?referrer=a6d8da54)
#### Demo
Clone the repo and run `docker compose up` in the demo folder to spin up a demo instance :)
#### Usage
You may follow these steps to try out Photos:
1. Login to Desk
1. Upload a new Image file
1. Navigate to the latest Photo Document
1. Scroll down to see the human faces detected
1. Click on each face to show label & more information
1. If label is not set for a given ROI, add it
Photos gets better the more images you store and the more people you label. It may make a few mistakes guessing the names of the people, but it gets better with more data!
#### Installation
Installation is pretty straightforward **IF** you're accustomed to [Frappe](https://frappeframework.com) Apps:
1. `bench get-app https://github.com/gavindsouza/photos`
1. `bench --site photos-site install-app photos`
If you don't know that and still want to try it out, here's the Frappe documentation for the same - https://frappeframework.com/docs/v14/user/en/installation.
#### More Information
This project consists of:
- Photos: A Frappe App that contains the backend logic & Admin views
- Gallery: A Vue 3 App that contains the tailored gallery UI _[WIP]_
#### Motivation
The initial inspiration for this project was to be an `Open Source Alternative to Google Photos`. However, I've only been able to make a week's time for this in 2 years. If you're seriously looking for an open source alternative to Google Photos, I'd recommend https://photoprism.app/ which is everyting I wanted to build when I thought of doing this back in 2018 ^_^
#### License
[MIT](LICENSE)
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