CompreFace - Leading free and open-source face recognition system

•    Java

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Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker. Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

docker computer-vision docker-compose rest-api facial-recognition face-recognition face-detection facenet hacktoberfest face-identification face-verification insightface hacktoberfest2021

face-recognition

•    Javascript

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Simple Node.js API for robust face detection and face recognition. This a Node.js wrapper library for the face detection and face recognition tools implemented in dlib. Installing the package will build dlib for you and download the models. Note, this might take some time.

face-detection face-recognition face nodejs node face-landmark typescript detection recognition

face-api

•    TypeScript

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

face-recognition face js tensorflow tfjs neural-network resnet-34 convolutional-neural-networks face-detection face-similarity ssd-mobilenet face-landmarks mtcnn yolov2 tiny-yolo detection recognition tf

libface - Face Recognition Library

•    C++

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Libface is a cross platform framework for developing face recognition algorithms and testing its performance. The library uses OpenCV 2.0 and aims to be a middleware for developers that don’t have to include any OpenCV code in order to use face recognition and face detection detection.

face-detection image-recognization image image-processing

facenet - Face recognition using Tensorflow

•    Python

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This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also uses ideas from the paper "Deep Face Recognition" from the Visual Geometry Group at Oxford. The code is tested using Tensorflow r1.7 under Ubuntu 14.04 with Python 2.7 and Python 3.5. The test cases can be found here and the results can be found here.

face-recognition tensorflow facenet deep-learning computer-vision face-detection mtcnn neural-networks

sphereface - Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17

•    Jupyter

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SphereFace is released under the MIT License (refer to the LICENSE file for details). 2018.8.14: We recommand an interesting ECCV 2018 paper that comprehensively evaluates SphereFace (A-Softmax) on current widely used face datasets and their proposed noise-controlled IMDb-Face dataset. Interested users can try to train SphereFace on their IMDb-Face dataset. Take a look here.

face-recognition caffe sphereface cvpr-2017 face-detection angular-softmax deep-learning

jeelizFaceFilter - Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters

•    Javascript

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This JavaScript library detects and tracks the face in real time from the webcam video feed captured with WebRTC. Then it is possible to overlay 3D content for augmented reality applications. We provide various demonstrations using main WebGL 3D engines. We have included in this repository the release versions of the 3D engines to work with a determined version (they are in /libs/<name of the engine>/). This library is lightweight and it does not include any 3D engine or third party library. We want to keep it framework agnostic so the outputs of the library are raw: if the a face is detected or not, the position and the scale of the detected face and the rotation Euler angles. But thanks to the featured helpers, examples and boilerplates, you can quickly deal with a higher level context (for motion head tracking, for face filter or face replacement...). We continuously add new demontrations, so stay tuned ! Also, feel free to open an issue if you have any question or suggestion.

face tracking detection snapchat 3d webgl deep-learning face-detection face-tracking threejs babylonjs webcam faceswap library picojs augmented-reality face-filters trackingjs msqrd

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

•    Python

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Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library. Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.

machine-learning face-detection face-recognition

jeelizWeboji - JavaScript/WebGL real-time face tracking and expression detection library

•    Javascript

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With this library, you can build your own animoji embedded in Javascript/WebGL applications. You do not need any specific device except a standard webcam. By default a webcam feedback image is displayed with the face detection frame. The face detection is quite robust to all lighting conditions, but the evaluation of expression can be noisy if the lighting is too directional, too weak or if there is an important backlight. So the webcam feedback image is useful to see the quality of the input video feed.

webgl threejs svg animoji weboji webcam deep-learning face face-expression computer-vision augmented-reality emoji face-detection face-tracking real-time

android-face-detector - A real-time face detection Android library

•    Kotlin

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Face detector is a face detection Android library which can be easily plugged into any camera API (given it provides a way to process its frames). Face detector is built on top of Firebase ML Kit's face detection API.

android kotlin face-detection firebase-mlkit

openface - Face recognition with deep neural networks.

•    Lua

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Free and open source face recognition with deep neural networks. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources.

deep-learning face-recognition facenet face-detection neural-networks

Pigo - Go implementation of Pico face detection library (Pico)

•    Go

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Pigo is a pure Go face detection library based on Pixel Intensity Comparison-based Object detection paper. The only existing solution for face detection in the Go ecosystem is using bindings to OpenCV, but installing OpenCV on various platforms is sometimes daunting. This library does not require any third party modules to be installed. However in case you wish to try the real time, webcam based face detection you might need to have Python2 and OpenCV installed, but the core API does not require any third party module or external dependency.

face detection decision trees face-detection eyes facial-landmark

SeetaFaceEngine

•    C++

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SeetaFace Engine is an open source C++ face recognition engine, which can run on CPU with no third-party dependence. It contains three key parts, i.e., SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification, which are necessary and sufficient for building a real-world face recognition applicaiton system. SeetaFace Detection implements a funnel-structured (FuSt) cascade schema for real-time multi-view face detection, which achieves a good trade-off between detection accuracy and speed. State of the art accuracy can be achieved on the public dataset FDDB in high speed. See SeetaFace Detection for more details.

OpenBR - Open Source Biometric Recognition

•    C++

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OpenBR is a framework for investigating new modalities, improving existing algorithms, interfacing with commercial systems, measuring recognition performance, and deploying automated biometric systems. Off-the-shelf algorithms are also available for specific modalities including Face Recognition, Age Estimation, and Gender Estimation.

biometrics face-recognition recognition analysis image-analysis detection

Face-Track-Detect-Extract - 💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face)

•    Python

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This project can detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).

tracking tensorflow detection extract face mtcnn kalman-tracking

Face-It - A repository of Processing examples for ITP fall workshop about face detection, recognition, and miscellaneous tracking methods

•    Processing

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A "syllabus" and repository of Processing examples for ITP fall workshop about face detection, recognition, and miscellaneous tracking methods.

Face Detection For Windows Phone 7

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A library for performing face detection on windows phone 7. This library uses the same algorithms and detection models as OpenCV and is written in C# and built for the Windows Phone. Also includes a camera user control that supports automated taking of photos and showing camer...

windows-phone ai face-detection image-processing recognition windows-phone-7

node-facenet - Solve face verification, recognition and clustering problems: A TensorFlow backed FaceNet implementation for Node

•    TypeScript

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A TensorFlow backed FaceNet implementation for Node.js, which can solve face verification, recognition and clustering problems. FaceNet is a deep convolutional network designed by Google, trained to solve face verification, recognition and clustering problem with efficiently at scale.

facenet openface deepface face recognition verification clustering machine deep learning neural network tensorflow

FaceDetection-DSFD - 腾讯优图高精度双分支人脸检测器

•    Python

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In this repo, we propose a novel face detection network, named DSFD, with superior performance over the state-of-the-art face detectors. You can use the code to evaluate our DSFD for face detection. Our DSFD face detector achieves state-of-the-art performance on WIDER FACE and FDDB benchmark.

faint - The Face Annotation Interface

•    Java

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Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI