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https://github.com/faceonnx/faceonnx

Face recognition and analytics library based on deep neural networks and ONNX runtime
https://github.com/faceonnx/faceonnx

antispoofing classification cpu deep-neural-networks detection dotnet embeddings estimation face face-analytics-library face-detection face-onnx face-recognition faceonnx gpu landmarks onnx onnx-runtime recognition

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Face recognition and analytics library based on deep neural networks and ONNX runtime

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Face recognition and analytics library based on deep neural networks and ONNX runtime


A vision of what might lie across the universe...

# FaceONNX
**FaceONNX** is a face recognition and analytics library based on [ONNX](https://onnx.ai/) runtime. It containts ready-made deep neural networks for face
* detection and landmarks extraction,
* gender and age classification,
* emotion and beauty classification,
* embeddings comparison and more.

# Version
You can build **FaceONNX** from sources or install to your own project using nuget package manager.
| Assembly | Specification | OS | Package | Algebra |
|-------------|:-------------:|:-------------:|:--------------:|:--------------:|
| [FaceONNX](netstandard/FaceONNX) | .NET Standard 2.0 | Cross-platform | [NuGet](https://www.nuget.org/packages/FaceONNX/) | [UMapx](https://github.com/asiryan/UMapx) |
| [FaceONNX.Addons](netstandard/FaceONNX.Addons) | .NET Standard 2.0 | Cross-platform | [NuGet](https://www.nuget.org/packages/FaceONNX.Addons/) | [UMapx](https://github.com/asiryan/UMapx) |

# Installation
C# interface
```c#
using FaceONNX;
```
To get started with **FaceONNX**, it is recommended to look at the folder with [examples](netstandard/Examples) and [experiments](netstandard/Experiments).

# References
[ONNX models](https://github.com/FaceONNX/FaceONNX.Models)

# License
**FaceONNX** is released under the [MIT](LICENSE) license.