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) 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

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

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

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.

Upgrade your iOS app with MiniAiLive's Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your iOS platform. Check out our latest repository containing a demonstration of 2D & 3D face liveness detection capabilities. Try it out today!

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.

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

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.

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

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