Dynaface 2.0.2

.NET Standard 2.1 This package targets .NET Standard 2.1. The package is compatible with this framework or higher. 
dotnet add package Dynaface --version 2.0.2
                    


                    

                
NuGet\Install-Package Dynaface -Version 2.0.2
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="Dynaface" Version="2.0.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Dynaface" Version="2.0.2" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="Dynaface" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add Dynaface --version 2.0.2
                    


                    

                
#r "nuget: Dynaface, 2.0.2"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#:package Dynaface@2.0.2
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=Dynaface&version=2.0.2
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Dynaface&version=2.0.2
                    


                            Install as a Cake Tool

Dynaface

A C# facial-analysis pipeline — a contract-faithful port of the Python dynaface-lib package. It runs BlazeFace detection, SPIGA WFLW-98 landmark + headpose estimation, U²-Net background removal, frontal (StyleGAN-style) and lateral analysis, and the full frontal + lateral + skin-tone measurement set used to assess facial symmetry and movement.

This is the backend-agnostic core: it runs no neural networks itself. All 3 networks are reached through a single interface, IDynafaceInference, kept as 3 independent methods so each can be swapped or tested on its own.

Install

# Core + a ready-made ONNX Runtime backend (recommended for most .NET apps)
dotnet add package Dynaface.Onnx

# ...or the core alone, if you supply your own inference backend
dotnet add package Dynaface

Dynaface and Dynaface.Onnx ship in lockstep at the same version; installing Dynaface.Onnx pulls in the matching Dynaface.

Usage

// Supply an IDynafaceInference implementation (see the Dynaface.Onnx package),
// then run the pipeline and measurements:
FacePipeline.Initialize(inference);

var image  = new FaceImage(pixels, width, height); // flat Rgba32[], y=0 at bottom
var result = FacePipeline.Run(image, rotationAngle: 0, flipHorizontal: false);

var ctx = new FaceMeasureContext(
    result.Value.AlignedCrop, result.Value.Wflw98, result.Value.Pix2mm,
    isLateral: result.Value.IsLateral,
    lateralLandmarks: result.Value.LateralAnalysis?.LateralLandmarks,
    headPose: result.Value.HeadPose,
    pose: result.Value.Pose, flipped: result.Value.Flipped);

Dictionary<string, double> measurements = ctx.Analyze();

Backends

Backend Runtime Package
ONNX Microsoft.ML.OnnxRuntime Dynaface.Onnx
Unity Inference Engine Unity Sentis external DynafaceRuntime assembly

To add your own backend, implement IDynafaceInference's 3 methods (RunBlazeFace / RunSpiga / RunU2Net).

See the project repository for full documentation. Licensed under Apache-2.0.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
.NET Core netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.1 is compatible. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

  • .NETStandard 2.1

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Dynaface:

Package Downloads
Dynaface.Onnx

ONNX Runtime inference backend for Dynaface. Provides OnnxDynafaceInference, a ready-made IDynafaceInference implementation over Microsoft.ML.OnnxRuntime for the BlazeFace, SPIGA, and U²-Net models. Install this instead of implementing IDynafaceInference yourself; it pulls in the core Dynaface package.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
2.0.2 160 7/24/2026
2.0.1 154 7/23/2026
2.0.0 147 7/12/2026