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

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

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

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.

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

Robust realtime face and facial landmark tracking on CPU with Unity integration

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

RetinaFace: Deep Face Detection Library for Python

虚拟爱抖露(アイドル)共享计划, 是基于单目RGB摄像头的人眼与人脸特征点检测算法, 在实时3D面部捕捉以及模型驱动领域的应用.

A PyTorch Implementation of FaceBoxes

Human-detection-and-Tracking

Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!

A face recognition solution on mobile device.

The World's Leading Cross Platform AI Engine for Edge Devices