Face Detection

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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 package contains just FaceAiSharp's managed code and does not include any ONNX models. Take a look at FaceAiSharp.Bundle for a batteries-included package with everything you need to get started.

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 package contains just FaceAiSharp's managed code and does not include any ONNX models. Take a look at FaceAiSharp.Bundle for a batteries-included package with everything you need to get started.

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.

C# version of Ultra-Light-Fast-Generic-Face-Detector-1MB

C# version of Ultra-Light-Fast-Generic-Face-Detector-1MB

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. Gpu implementation.

虹软人脸识别.NET核心工具库。基于ArcFace 3.x C++ SDK, 支持Windows x86/x64和Linux x64. 支持人脸属性检测、人脸特征提取、人脸库维护、人脸搜索、活体检测等功能。

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The SheshaMobile face service features identifcation and detection features powered by Microsoft Cognitive services.

Face Detect with API Azure

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Detect one or more human faces in an image and get back face rectangles for where in the image the faces are, along with face attributes which contain machine learning-based predictions of facial features.

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

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

虹软人脸识别.NET核心工具库(.Net Standard 2.1)。基于ArcFace 3.x C++ SDK, 支持Windows x86/x64和Linux x64. 支持人脸属性检测、人脸特征提取、人脸库维护、人脸搜索、活体检测等功能。

C# version of CenterFace

CropUp allows images to be auto cropped for any size based on a gravity point so that the image's main motive stays visible even if its not in the center.

C# version of Ultra-Light-Fast-Generic-Face-Detector-1MB

C# version of CenterFace

Towise assists you to detect human faces and bodies with using the latest and reliable technology.

The SheshaMobile face service features identifcation and detection features powered by Microsoft Cognitive services.

Microsoft Face Id wrapper library built using [WebClient] to enable progress reporting for Face Id API calls plus full encapsulation of the API requests entities and results into strongly typed objects for easier use.

The Cloud-based Face API provides developers with access to advanced facial recognition algorithms. Microsoft Facial Recognition Algorithms Allow Facial Attribute Detection and Facial Recognition

Detect one or more human faces in an image and get back face rectangles for where in the image the faces are, along with face attributes which contain machine learning-based predictions of facial features.

A native CNN-based face detection for .NET Standard. Easy setup and no dependencies. Runs on Windows and Linux

Face detector skill that extends the Microsoft.AI.Skills.SkillInterfacePreview APIs. It takes an image/video frame as input and outputs bounding boxes for detected face(s) and other attributes like left/right eye, left/right mouth and nose tip.

Intruder detection skill that extends the Microsoft.AI.Skills.SkillInterfacePreview APIs. It takes an image/video frame as input and checks if more than one unique face and/or person are detected, returns intruder presence flag.

This package provides OpenVino's open-closed-eye-0001 model. It is a fully convolutional network for recognition of eye state (open, closed).

虹软人脸识别.NET核心工具库。基于ArcFace 3.x C++ SDK, 支持Windows x86/x64和Linux x64. 支持人脸属性检测、人脸特征提取、人脸库维护、人脸搜索、活体检测等功能。

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.

Face Detection Package for .NET Framework.

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 package contains just FaceAiSharp's managed code and does not include any ONNX models. Take a look at FaceAiSharp.Bundle for a batteries-included package with everything you need to get started.

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This package provides an SCRFD 2.5G KPS model with dynamic shapes, downloaded from the official github.com/deepinsight/insightface repository. SCRFD is a state-of-the-art face detection model that also provides facial landmarks/facial keypoints.

虹软人脸识别数据抽象

WPF user control for face detection.

云图人脸检测

This package provides an SCRFD 2.5G KPS model, downloaded from the official github.com/deepinsight/insightface repository and converted to ONNX. SCRFD is a state-of-the-art face detection model that also provides facial landmarks/facial keypoints.

Facial Feature can detect face, facial landmark, feature. output the values of face bounding box, landmark and facial feature.

PIV-compliant facial processing library for .NET with FIPS 201-3 compliance and JPEG 2000 ROI encoding

PIV-compliant facial processing CLI tool for .NET. Converts photos to FIPS 201-3 compliant ID card format with JPEG 2000 ROI encoding.

User control for face detection and camera operation for uwp

User control for face detection and camera operation for uwp