文件列表:

CONTRIBUTING.md (421, 2020-03-08)
ExecuteTest.ps1 (1733, 2020-03-08)
ExecuteTestNuget.bat (457, 2020-03-08)
FaceRecognitionDotNet.json (286, 2020-03-08)
FaceRecognitionDotNet.sln (8357, 2020-03-08)
Initialize.bat (39, 2020-03-08)
Initialize.sh (52, 2020-03-08)
Jenkinsfile (9576, 2020-03-08)
LICENSE.txt (1077, 2020-03-08)
UpdateSubmodules.bat (44, 2020-03-08)
examples (0, 2020-03-08)
examples\Benchmark (0, 2020-03-08)
examples\Benchmark\Benchmark.csproj (539, 2020-03-08)
examples\Benchmark\Program.cs (5501, 2020-03-08)
examples\Benchmark\obama-1080p.jpg (387393, 2020-03-08)
examples\Benchmark\obama-240p.jpg (37260, 2020-03-08)
examples\Benchmark\obama-480p.jpg (102795, 2020-03-08)
examples\Benchmark\obama-720p.jpg (201671, 2020-03-08)
examples\CustomClassificationDemo (0, 2020-03-08)
examples\CustomClassificationDemo\CustomClassificationDemo.csproj (613, 2020-03-08)
examples\CustomClassificationDemo\DianaPrincessOfWales_1997_36.jpg (102330, 2020-03-08)
examples\CustomClassificationDemo\Program.cs (2076, 2020-03-08)
examples\CustomClassificationDemo\images (0, 2020-03-08)
examples\CustomClassificationDemo\images\result.png (97559, 2020-03-08)
examples\FaceDetection (0, 2020-03-08)
examples\FaceDetection\FaceDetection.csproj (539, 2020-03-08)
examples\FaceDetection\Program.cs (5129, 2020-03-08)
examples\FaceEncodingPerformance (0, 2020-03-08)
examples\FaceEncodingPerformance\FaceEncodingPerformance.csproj (539, 2020-03-08)
examples\FaceEncodingPerformance\Program.cs (2929, 2020-03-08)
examples\FindFacesInBatches (0, 2020-03-08)
... ...

#  FaceRecognitionDotNet []() [](https://codecov.io/gh/takuya-takeuchi/FaceRecognitionDotNet) 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!! |Package|OS|x86|x***|ARM|ARM***|Nuget| |---|---|---|---|---|---|---| |FaceRecognitionDotNet (CPU)|Windows|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet)| ||Linux|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet)| ||OSX|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet)| |FaceRecognitionDotNet for CUDA 9.2|Windows|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA92)| ||Linux|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA92)| ||OSX|-|-|-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA92)| |FaceRecognitionDotNet for CUDA 10.0|Windows|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA100)| ||Linux|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA100)| ||OSX|-|-|-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA100)| |FaceRecognitionDotNet for CUDA 10.1|Windows|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA101)| ||Linux|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA101)| ||OSX|-|-|-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.CUDA101)| |FaceRecognitionDotNet for Intel MKL|Windows|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.MKL)| ||Linux|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.MKL)| ||OSX|-||-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet.MKL)| |FaceRecognitionDotNet for ARM|Windows|-|-|-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet-ARM)| ||Linux|-|-|-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet-ARM)| ||OSX|-|-|-|-|[](https://www.nuget.org/packages/FaceRecognitionDotNet-ARM)| ##### :warning: FaceRecognitionDotNet for ARM is not tested yet ## Support API |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|| |load_image_file|LoadImageFile|| |-|CropFaces|Crop image with specified locations| |-|LoadImage|From memory data| |-|PredictAge|Use **Adience Benchmark Of Unfiltered Faces For Gender And Age Classification dataset** :warning:| |-|PredictGender|Use **UTKFace dataset** :warning:| |-|PredictProbabilityAge|Use **Adience Benchmark Of Unfiltered Faces For Gender And Age Classification dataset** :warning:| |-|PredictProbabilityGender|Use **UTKFace dataset** :warning:| ##### :warning: 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. * tools/AgeTraining * tools/GenderTraining * tools/HelenTraining ## Demo #### Face Recognition #### Face Landmark #### Age and Gender Classification ## Dependencies Libraries and Products #### [face_recognition](https://github.com/ageitgey/face_recognition/) > **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#. #### [face_recognition_models](https://github.com/ageitgey/face_recognition_models/) > **License:** Creative Commons Zero v1.0 Universal License > > **Author:** Adam Geitgey > > **Principal Use:** Trained models for the face_recognition python library #### [dlib](http://dlib.net/) > **License:** Boost Software License > > **Author:** Davis E. King > > **Principal Use:** A toolkit for making real world machine learning and data analysis applications in C++. #### [DlibDotNet](https://github.com/takuya-takeuchi/DlibDotNet/) > **License:** The MIT License > > **Author:** Takuya Takeuchi > > **Principal Use:** Use dlib interface via .NET. This library is developed by this owner. #### [OpenCVSharp](https://github.com/shimat/opencvsharp/) > **License:** The BSD 3-Clause License > > **Author:** shimat > > **Principal Use:** Loading image data by opencv wrapper for example

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：