Awesome
<p align="center"> <a href="https://facerec.gjung.com/"> <img alt="logo" src="/media/logo-filled.svg" width="64" /> </a> </p>Interactive Face Recognition Tutorial
Understand how modern technology works with faces, from scratch. You don't need to be an AI expert. If you know how to program, you will be able to apply state-of-the-art methods yourself, locally on your device and for free. This is an interactive tutorial – you can bring your own pictures if you like to.
<p float="left" align="middle"> <img src="/doc/screenshot-alignment.png" width="32%" /> <img src="/doc/screenshot-dimred.png" width="32%" /> <img src="/doc/screenshot-compare.png" width="32%" /> </p>Features
- Interactively learn how facial recognition works.
- Use your own images OR get started right away with sample images.
- Apply advanced face AI on your own machine.
- Follow along with hands-on code examples.
- Understand how to use AI with .NET and Blazor.
- Experiment to see how parameters change results.
- Apply what you learn to your own production applications.
- Free, local, no dependency on cloud services.
- Uses the MIT-licensed FaceAiSharp library.
Get started
Get started using the web app facerec.gjung.com or by downloading this tutorial as an app:
<table> <tr> <td> <a href='https://play.google.com/store/apps/details?id=com.gjung.blazorface.maui&utm_source=github&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1'> <img style="height: 76px;" alt='Get it on Google Play' src='/media/badges/google-play/en_badge_web_generic.png' /> </a> </td> <td> <a href="https://apps.microsoft.com/store/detail/9NM3NZ1MQ394?launch=true&cid=github&mode=mini"> <img style="height: 50px;" alt="Get it from Microsoft" src="/media/badges/microsoft-store/en-us-dark.svg" /> </a> </td> </tr> </table>Google Play and the Google Play logo are trademarks of Google LLC.
Using Docker
docker run -p 8080:80 ghcr.io/georg-jung/explain-face-rec:latest
As soon as your container is running, you can access the tutorial at localhost:8080.
Credits
Created in the context of Georg Jung's master thesis, supervised by Dr. Guido Rößling. Thanks for the supervision and the great support!