face-detection

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

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

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

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.

An open source library for face detection in images. The face detection speed can reach 1000FPS.

Content aware image resize library

A Camera component for React Native. Also supports barcode scanning!

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

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

Leading free and open-source face recognition system

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.

Nodejs bindings to OpenCV 3 and OpenCV 4

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

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

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