The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
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 :warning: |
| 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 :warning: |
| - | LoadImage | From memory data or System.Drawing.Bitmap |
| - | PredictAge | Predict human age. Use Adience Benchmark Of Unfiltered Faces For Gender And Age Classification dataset :warning: |
| - | PredictEmotion | Predict emotion for human face. Use Corrective re-annotation of FER - CK+ - KDEF :warning: |
| - | PredictGender | Predict human gender. Use UTKFace dataset :warning: |
| - | PredictProbabilityAge | Predict probability of human age. Use Adience Benchmark Of Unfiltered Faces For Gender And Age Classification dataset :warning: |
| - | PredictProbabilityEmotion | Predict probability of emotion from human face. Use Corrective re-annotation of FER - CK+ - KDEF :warning: |
| - | PredictProbabilityGender | Predict probability of human gender. Use UTKFace dataset :warning: |
| - | PredictHeadPose | Predict human head pose. Use 300W-LP dataset :warning: |
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.
| Face Landmark | Age and Gender Classification | Head Pose Estimation | Emotion 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
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