Face analytics library based on deep neural networks and ONNX runtime

FaceONNX

FaceONNX is a face analytics library based on ONNX 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 etc.

Version

You can build FaceONNX from sources or install to your own project using nuget package manager.

Assembly	Specification	OS	Platform	Package	Algebra
FaceONNX	.NET Standard 2.0	Cross-platform	CPU	NuGet	UMapx
FaceONNX.Addons	.NET Standard 2.0	Cross-platform	CPU	NuGet	UMapx
FaceONNX.Gpu	.NET Standard 2.0	Cross-platform	GPU	NuGet	UMapx
FaceONNX.Addons.Gpu	.NET Standard 2.0	Cross-platform	GPU	NuGet	UMapx

Installation

C# interface

using FaceONNX;

To get started with FaceONNX, it is recommended to look at the folder with examples.

Models

FaceONNX is an open-source software. If you want to build FaceONNX from sources or use some features separately you can download already-made models from GitHub repository or Google.Drive disk.

References

Python implementation

License

FaceONNX is released under the MIT license.