https://github.com/georg-jung/explain-face-rec

https://github.com/georg-jung/explain-face-rec

artificial-intelligence blazor face-detection face-recognition learning machine-learning maui maui-blazor onnx onnxruntime

Last synced: about 1 month ago
JSON representation

• Host: GitHub
• URL: https://github.com/georg-jung/explain-face-rec
• Owner: georg-jung
• License: mit
• Created: 2023-01-10T12:01:28.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2023-11-28T02:25:05.000Z (about 1 year ago)
• Last Synced: 2024-12-20T16:03:14.579Z (about 1 month ago)
• Topics: artificial-intelligence, blazor, face-detection, face-recognition, learning, machine-learning, maui, maui-blazor, onnx, onnxruntime
• Language: HTML
• Homepage: https://facerec.gjung.com/
• Size: 1.57 MB
• Stars: 17
• Watchers: 2
• Forks: 5
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-dotnet-machine-learning - georgj-jung/ExplainFaceRecognition - <img src="https://img.shields.io/github/stars/georg-jung/explain-face-rec?style=social"/> Beginner friendly interactive face detection & recognition tutorial with hands-on code samples. State-of-the-art local face AI showcase. Blazor Server & Hybrid - Web, Windows, Android. (Uncategorized / Uncategorized)
• awesome-blazor - ExplainFaceRecognition -  Interactive Face Detection & Recognition tutorial with hands-on code samples. State-of-the-art local face AI showcase. Blazor Server & Hybrid. (Sample Projects / AI)

README

        


  

    

  



# Interactive Face Recognition Tutorial

[![facerec.gjung.com](https://img.shields.io/badge/Web_App-facerec.gjung.com-blue)](https://facerec.gjung.com)

[![Google Play](https://img.shields.io/badge/Android-Google_Play-blue?logo=google-play&link=https%3A%2F%2Fplay.google.com%2Fstore%2Fapps%2Fdetails%3Fid%3Dcom.gjung.blazorface.maui%26utm_source%3Dgithub-badge)](https://play.google.com/store/apps/details?id=com.gjung.blazorface.maui&utm_source=github-badge)

[![Microsoft Store](https://img.shields.io/badge/Windows-Microsoft_Store-blue?logo=microsoft&link=https%3A%2F%2Fapps.microsoft.com%2Fstore%2Fdetail%2F9NM3NZ1MQ394%3Flaunch%3Dtrue%26cid%3Dgithub-badge%26mode%3Dmini)](https://apps.microsoft.com/store/detail/9NM3NZ1MQ394?launch=true&cid=github-badge&mode=mini)

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.



  

  

  



## 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](https://github.com/georg-jung/FaceAiSharp) library.

## Get started

Get started using the [web app facerec.gjung.com](https://facerec.gjung.com/) or by downloading this tutorial as an app:

    

        

            

                

            

        

        

            

                

            

        

    

Google Play and the Google Play logo are trademarks of Google LLC.

### Using Docker

```bash

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](http://localhost:8080).

## Credits

Created in the context of Georg Jung's master thesis, supervised by [Dr. Guido Rößling](https://www.roessling.com/). Thanks for the supervision and the great support!