https://github.com/jernejk/realtimefaceapi
This is a demo project showing how to use Face API in Cognitive Services with OpenCV
https://github.com/jernejk/realtimefaceapi
azure azure-cognitive-services cognitive-services face-api face-detection facial-recognition opencv real-time tips-and-tricks
Last synced: 12 months ago
JSON representation
This is a demo project showing how to use Face API in Cognitive Services with OpenCV
- Host: GitHub
- URL: https://github.com/jernejk/realtimefaceapi
- Owner: jernejk
- Created: 2019-01-08T22:10:49.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-02-21T20:08:48.000Z (about 3 years ago)
- Last Synced: 2025-03-25T00:35:14.180Z (12 months ago)
- Topics: azure, azure-cognitive-services, cognitive-services, face-api, face-detection, facial-recognition, opencv, real-time, tips-and-tricks
- Language: C#
- Size: 24.2 MB
- Stars: 61
- Watchers: 7
- Forks: 20
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[](https://ci.appveyor.com/project/jernejk/realtimefaceapi/branch/master)
Blog post: [Real-time face recognition with Microsoft Cognitive Services](https://jkdev.me/real-time-face-recognition/)
YouTube video: [.NET User Group: Real-time Face Recognition With Microsoft Cognitive Services](https://www.youtube.com/watch?v=KCSyRO0KotA)
Cognitive Studio (in progress): [https://cognitivestudio.dev/face/intro](https://cognitivestudio.dev/face/intro)
# RealTimeFaceApi
This is a demo project showing how to use Face API in Cognitive Services with OpenCV.
The demo has several parts to allow real-time facial recognition:
- Get frames from web cam/video with help of OpenCV
- Offline face-detection with help of OpenCV
- Filter out faces that are too small
- Determine if scene has changed and we should recognize new faces
- Sending and identifying faces with help of Microsoft Cognitive Services
# Setup
In `RealTimeFaceApi/Program.cs` configure `FaceSubscriptionKey` and `FaceGroupId` from [Microsoft Cognitive Services](https://azure.microsoft.com/en-au/services/cognitive-services/).
You'll need to upload and train data in MS Face API.
# Run with web came
Make sure there are no command line arguments.
If you have multiple web cams, you can change the camera with `cameraIndex`.
``` C#
// Otherwise use the webcam.
capture = InitializeCapture(/* camera index */ 1);
```
You can run app from console:
``` C#
cd RealTimeFaceApi.Cmd
dotnet run
```
# Run with a video file
Add path to file. In Visual Studio, go to `RealTimeFaceApi.Cmd` properties, `Debug` and under `Application arguments:` add the path to the video.
You can also run from console:
``` C#
cd RealTimeFaceApi.Cmd
dotnet run -- "C:\Users\JK\Downloads\Real-time Face Recognition With Microsoft Cognitive Services.mp4"
```
