Leading free and open-source face recognition system

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Linux Server SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Attribute Analysis

A collection of face related papers

An End to End Real Time Face Identification and attendance system using CNN

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof) Android SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Pose Estimation

Sample projects for Computer Vision with Raspberry Pi and Movidius Neural Compute Stick

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof) iOS SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Pose Estimation

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Windows Server SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Attribute Analysis

Code for CVPR 2022 https://arxiv.org/abs/2112.04016 DeepFace-EMD Re-ranking Using Patch-wise Earth Movers Distance Improves Out-Of-Distribution Face Identification

Face identification with cnn+triplet-loss written by Keras.

얼굴 인식에 대한 기술 동향 및 관련 모델 자료

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

Face recognition, face liveness detection: face matching, face compare, face comparison, face identification, face anti-spoofing, face identity, facial recognition, face representation, face reconstruction, face tracking, and face liveness detection for IDV

Face Recognition (Identification) for Android Devices. Used Firebase ML Kit Face Detection for detecting faces, then applied arcface MobileNetV2 model for recognition

FRI (Face Recognition and Identification)

Face Identification using ONNX Runtime

📸 High-Performance Face Recognition Framework (models trained on MS1MV2) | In PyTorch >> ONNX Runtime Inference

Open DRUWA - Open Deep Realtime User Welcoming Assistant

Proiect licenta

Identify unknown persons that are not registered and stores their images with current date and time.

This series of workshops on various services is created to help you gain expertise on Azure cognitive and ML Services. You will be able to explore each functionality offered by the service through the GUI & REST APIs and observe the outcomes. We have also shared sample datasets related to each service to replicate what we have built in our workshops. Once you complete these labs, you’ll go from Zero to Hero on the respective service and should be able to Demo, Develop and Deploy your own custom use cases.

Classic BWS: BWS HTML5 Unified User Interface

The purpose of this Android app is to use Kairos's SDK for Android in order to implement facial recognition. Features of this app include: registering users with an image and name and identifying users when given an image.

Intro and sample apps to showcase oneML functionalities and possible use cases: Face Detection, Face Identification, Face Embedding, Vehicle Detection, EKYC, Person Attack Detection.

Face Recognition Windows SDK C# (.NET) Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Attribute Analysis

This is the world first repository which describes full solutions for Physical Access Control System containing from hardware design, Face Recognition & Face Liveness Detection (3D Face Passive Anti-spoofing) model to deployment for device. Can be applied to face recognition based smart-lock or similar solution easily.

A simple deepinsight/insightface implementation with FastAPI for face verification.

Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly

Implement a face recognition using insightface