FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8
0.20230419.1
Requires NuGet 2.12 or higher.
dotnet add package FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8 --version 0.20230419.1
NuGet\Install-Package FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8 -Version 0.20230419.1
<PackageReference Include="FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8" Version="0.20230419.1" />
paket add FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8 --version 0.20230419.1
#r "nuget: FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8, 0.20230419.1"
// Install FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8 as a Cake Addin #addin nuget:?package=FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8&version=0.20230419.1 // Install FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8 as a Cake Tool #tool nuget:?package=FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8&version=0.20230419.1
This package provides the int8 quantized ArcFace ONNX model from the official ONNX Model Zoo. ArcFace is a state-of-the-art face recognition model that is used to infer embeddings for advanced face identification and analysis applications.
Product | Versions Compatible and additional computed target framework versions. |
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.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. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
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.NETStandard 2.0
- No dependencies.
NuGet packages (2)
Showing the top 2 NuGet packages that depend on FaceAiSharp.Models.ArcFace.LResNet100E-IR-int8:
Package | Downloads |
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FaceAiSharp.Bundle
FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This is a bundle package that installs FaceAiSharp's managed code and multiple AI models in the ONNX format. |
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PlatonAiPhoto.Bundle
FaceAiSharp allows you to work with face-related computer vision tasks easily. It currently provides face detection, face recognition, facial landmarks detection, and eye state detection functionalities. FaceAiSharp leverages publicly available pretrained ONNX models to deliver accurate and efficient results and offers a convenient way to integrate them into your .NET applications. Whether you need to find faces, recognize individuals, detect facial landmarks, or determine eye states, FaceAiSharp simplifies the process with its simple API. ONNXRuntime is used for model inference, enabling hardware acceleration were possible. All processing is done locally, with no reliance on cloud services. This is a bundle package that installs FaceAiSharp's managed code and multiple AI models in the ONNX format. |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated |
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0.20230419.1 | 309,388 | 5/4/2023 |