Classify male/female, smiling/not smiling with dlib face embedding features and SVM.
-
Updated
Dec 27, 2018 - Jupyter Notebook
Classify male/female, smiling/not smiling with dlib face embedding features and SVM.
Six face attributes predication from a single face image (Toy Project)
The project mainly forcus on using recordIO to pack images and transforming learning for object classification.
Face Attribute Prediction on CelebA benchmark with PyTorch Implementation
Project in Advanced Computer Vision course in NTU
This repository contains source code implementation of assignments for NTU's MSAI course AI6126 on Advanced Computer Vision (2020 Sem 1).
Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset
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.
Computer Vision Project: This repository contains code for a facial emotion recognition system based on the FER2018 dataset from Kaggle. The FER2018 dataset consists of 35,887 grayscale images of faces, each labeled with one of seven emotions: anger, disgust, fear, happiness, sadness, surprise, or neutral.
A face recognition solution on mobile device.
Face aligner and cropper with quality enhancement and attribute parsing
Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection
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 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 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.
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.
Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified(3D Face Anti-Spoofing) on Android
Add a description, image, and links to the face-attributes topic page so that developers can more easily learn about it.
To associate your repository with the face-attributes topic, visit your repo's landing page and select "manage topics."