preamble
In the era of artificial intelligence, face recognition technology has become a key tool for security verification, identification and user interaction.
NET open source provides a powerful face recognition API, the tool is not only easy to integrate, but also has efficient processing capabilities.
In this article, we'll show you how to utilize these APIs to add intelligent recognition to our projects.
Projects
The 1.2k-starred C# facial recognition API project on GitHub: FaceRecognitionDotNet is powerful, out-of-the-box, and cross-platform.
It uses the OpenCVSharp and face_recognition open source libraries and provides the NuGet package for easy integration into projects.
The project is a C# port of face_recognition. face_recognition is a Python based face recognition library which provides easy-to-use interfaces for face detection, face recognition and face feature extraction.
This library is developed based on dlib and OpenCV and provides a high-level face recognition interface that can be used to recognize faces in images or videos and to recognize the similarity between different people.
Project Characteristics
- Predicted age
- emotion recognition
- gender-based judgment
- face marking
- Blink Detection
Project description
Cross-platform support, including Windows, Linux and macOS!
Supported APIs
Project Showcase
1、Facial Recognition
2. Age and gender
3. Face marking
4. Emotion Recognition
Project Address
Documentation:/FaceRecognitionDotNet/
face_recognition：/ageitgey/face_recognition
Github：/takuya-takeuchi/FaceRecognitionDotNet
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