The world's simplest facial recognition api for .NET
This repository is porting https://github.com/ageitgey/face_recognition by C#.
This package supports cross platform, Windows, Linux and MacOSX!!
face_recognition API | Corresponding API | Note |
---|---|---|
batch_face_locations | BatchFaceLocations | |
compare_faces | CompareFaces | |
face_distance | FaceDistance | |
face_encodings | FaceEncodings | |
face_landmarks | FaceLandmarks | And support Helen dataset |
face_locations | FaceLocations | And support to get confidence and use custom face detector |
load_image_file | LoadImageFile | |
- | CropFaces | Crop image with specified locations |
- | EyeBlinkDetect | Detect person is blinking or not Support Large model and Helen dataset |
- | LoadImage | From memory data or System.Drawing.Bitmap |
- | PredictAge | Predict human age. Use Adience Benchmark Of Unfiltered Faces For Gender And Age Classification dataset |
- | PredictGender | Predict human gender. Use UTKFace dataset |
- | PredictProbabilityAge | Predict probability of human age. Use Adience Benchmark Of Unfiltered Faces For Gender And Age Classification dataset |
- | PredictProbabilityGender | Predict probability of human gender. Use UTKFace dataset |
- | PredictHeadPose | Predict human head pose. Use 300W-LP dataset |
You must train dataset by yourself. I will NOT provide pretrained model file due to avoiding license issue. You can check the following examples to train dataset.
- tools/AgeTraining
- tools/GenderTraining
- tools/HeadPoseTraining
- tools/HelenTraining
Face Landmark | Age and Gender Classification | Head Pose Estimation |
---|---|---|
FaceRecognitionDotNet support full xml document for Visual Studio. A xml document is written English and Japanese. And you can check online document at FaceRecognitionDotNet API Document
License: The MIT License
Author: Adam Geitgey
Principal Use: The world's simplest facial recognition api for Python and the command line. Main goal of FaceRecognitionDotNet is what ports face_recognition by C#.
License: Creative Commons Zero v1.0 Universal License
Author: Adam Geitgey
Principal Use: Trained models for the face_recognition python library
License: Boost Software License
Author: Davis E. King
Principal Use: A toolkit for making real world machine learning and data analysis applications in C++.
License: The MIT License
Author: Takuya Takeuchi
Principal Use: Use dlib interface via .NET. This library is developed by this owner.
License: The BSD 3-Clause License
Author: shimat
Principal Use: Loading image data by opencv wrapper for example