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photos's Introduction

Photos

AI Powered Facial Recognition & Photos Clustering (like Google Photos) for your Frappe sites.

Try on Frappe Cloud

Demo

Pyxels.Demo.mp4

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
  2. Upload a new Image file
  3. Navigate to the latest Photo Document
  4. Scroll down to see the human faces detected
  5. Click on each face to show label & more information
  6. 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 Apps:

  1. bench get-app https://github.com/gavindsouza/photos
  2. 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

photos's People

Contributors

gavindsouza avatar

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