The world's simplest facial recognition api for Python and the command line

State-of-the-art 2D and 3D Face Analysis Project

Face recognition using Tensorflow

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

🔥 2D and 3D Face alignment library build using pytorch

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

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Creating a software for automatic monitoring in online proctoring

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Human-detection-and-Tracking

一个基于opencv、dilb的员工人脸识别考勤系统

A PyTorch Implementation of FaceBoxes

A face recognition solution on mobile device.

Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)

Face Detection | Recognition | Attendance

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.