TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified, 3D Face Anti Spoofing, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Android

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

Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

Six face attributes predication from a single face image (Toy Project)

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

This repository contains a C application that demonstrates face recognition, 3D face liveness detection (anti-spoofing) capabilities using computer vision techniques. The SDK utilizes OpenCV and dlib libraries for efficient face detection and recognition.

Face aligner and cropper with quality enhancement and attribute parsing

A face recognition solution on mobile device.

Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.

Analyze a series of face related attributes including age, gender, smile intensity, head pose, eye status, emotion, beauty, eye gaze, mouth status, skin status, face image quality and blurriness.

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.

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.

The project mainly forcus on using recordIO to pack images and transforming learning for object classification.

This repository contains source code implementation of assignments for NTU's MSAI course AI6126 on Advanced Computer Vision (2020 Sem 1).

Check the likelihood that two faces belong to the same person. You will get a confidence score and thresholds to evaluate the similarity. Play with our Top Ranked Face Recognition & 3D Face Passive Liveness (Anti-Spoofing) Engine!

Flutter face attribute: face liveness detection, face recognition, face auto-capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening

Classify male/female, smiling/not smiling with dlib face embedding features and SVM.