Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

Use Apple FaceID or TouchID authentication in your app using BiometricAuthentication.

Insight Face on TensorFlow

This is the implementation of paper <Additive Margin Softmax for Face Verification>

ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&&centerface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd

个人毕业设计 - 基于树莓派、OpenCV及Python语言的人脸识别

A face database with a large number of high-quality attribute annotations

alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet

ZKLibrary is PHP library for reading and writing data to attendance device using UDP protocol. This library useful to comunicate between web server and attendance device directly without addition program. This library is implemented in the form of class. So that you can create an object and use it functions.

Face Recognition Using A-Softmax_loss on light cleaned Ms_celeb-1M dataset

Face recognition docker image to provide a web service which is able to register and recognize faces

Face Recognition using pre-trained model built-on Arcface was implemented on Pytorch.

Training a face Recognizer using ResNet50 + ArcFace in TensorFlow 2.0

人脸打分服务，通过tensorflow通过人脸识别，测年龄，最终返回打分的json

本项目是利用mtcnn网络和facenet网络实现了一个简单的人脸识别功能。整体流程大致如下：首先利用mtcnn网络进行人脸检测和人脸关键点（5个）提取；接着利用人脸关键点进行人脸校正（仿射变换）；然后将校正之后的人脸图片送入facenet网络进行人脸特征（128维）提取；最后将提取到的人脸特征与底库中的人脸特征进行相似度计算（特征比对），完成人脸识别功能。

CogniTrack is an Artificial Intelligence powered person tracking system that acquires images from CCTV cameras and tracks individuals appearing in the frame in real-time.

A lightweight face-recognition toolbox and pipeline based on tensorflow-lite

利用opencv+keras+python实现人脸识别系统

This repository contains the code and resources for a facial recognition system. The system is designed to identify and authenticate individuals based on facial features using deep learning techniques.