Leading free and open-source face recognition system
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Updated
Oct 5, 2024 - Java
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
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
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
Face Recognition (Identification) for Android Devices. Used Firebase ML Kit Face Detection for detecting faces, then applied arcface MobileNetV2 model for recognition
High-Performance Face Recognition Framework (models trained on MS1MV2) | In PyTorch >> ONNX Runtime Inference
FRI (Face Recognition and Identification)
Open DRUWA - Open Deep Realtime User Welcoming Assistant
Identify unknown persons that are not registered and stores their images with current date and time.
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