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

•    Go

---

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

OpenFace - OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation

•    C++

---

Over the past few years, there has been an increased interest in automatic facial behavior analysis and understanding. We present OpenFace – a tool intended for computer vision and machine learning researchers, affective computing community and people interested in building interactive applications based on facial behavior analysis. OpenFace is the first toolkit capable of facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation with available source code for both running and training the models. The computer vision algorithms which represent the core of OpenFace demonstrate state-of-the-art results in all of the above mentioned tasks. Furthermore, our tool is capable of real-time performance and is able to run from a simple webcam without any specialist hardware. OpenFace is an implementation of a number of research papers from the Multicomp group, Language Technologies Institute at the Carnegie Mellon University and Rainbow Group, Computer Laboratory, University of Cambridge. The founder of the project and main developer is Tadas Baltrušaitis.

sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

•    C

---

SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.

computer-vision library deep-learning image-processing object-detection cpu real-time convolutional-neural-networks recurrent-neural-networks face-detection facial-landmarks machine-learning-algorithms image-recognition image-analysis vision-framework embedded detection iot-device iot

CompreFace - Leading free and open-source face recognition system

•    Java

---

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

opencv4nodejs - Asynchronous OpenCV 3

•    C++

---

By its nature, JavaScript lacks the performance to implement Computer Vision tasks efficiently. Therefore this package brings the performance of the native OpenCV library to your Node.js application. This project targets OpenCV 3 and provides an asynchronous as well as an synchronous API. The ultimate goal of this project is to provide a comprehensive collection of Node.js bindings to the API of OpenCV and the OpenCV-contrib modules. An overview of available bindings can be found in the API Documentation. Furthermore, contribution is highly appreciated. If you want to get involved you can have a look at the contribution guide.

nodejs opencv face-detection async node cv typescript computer-vision face detection recognition machine learning neural network

VisionFaceDetection - An example of use a Vision framework for face landmarks detection in iOS 11

•    Swift

---

First one is face rectangle detection by using VNDetectFaceRectanglesRequest based on pixelBuffer provided by delegate function captureOutput. Next we need to setup the property inputFaceObservations of VNDetectFaceLandmarksRequest object, to provide the input. Now we are redy to start landmarks detection.

vision-framework vision ios11 landmarks landmark-detection xcode9

2D-and-3D-face-alignment - This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper

•    Lua

---

This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper. Please visit our webpage or read bellow for instructions on how to run the code and access the dataset. Note: If you are interested in a binarized version, capable of running on devices with limited resources please also check https://github.com/1adrianb/binary-face-alignment for a demo.

face-alignment torch7 3d-face-alignment deeplearning computer-vision

openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

•    C++

---

OpenPose represents the first real-time multi-person system to jointly detect human body, hand, and facial keypoints (in total 135 keypoints) on single images. For further details, check all released features and release notes.

openpose computer-vision machine-learning multi-threading cpp cpp11 caffe opencv human-pose-estimation real-time deep-learning human-behavior-understanding cvpr-2017

superviseddescent - C++11 implementation of the supervised descent optimisation method

•    C++

---

superviseddescent is a C++11 implementation of the supervised descent method, which is a generic algorithm to perform optimisation of arbitrary functions. The library contains an implementation of the Robust Cascaded Regression facial landmark detection and features a pre-trained detection model.

landmark-detection computer-vision modern-cpp machine-learning

php-opencv - PHP extensions for OpenCV

•    C++

---

PHP extensions for OpenCV

php7 opencv php-extension php-opencv phpopencv face-recognition face-detection computer-vision php-facedetect

FaceLight - Simple Silverlight Face Detection

•    Silverlight

---

FaceLight is a simple facial recognition method that can be used with Silverlight 's webcam. It searches for a certain sized skin color region in a snapshot to find the face.

cg computer-graphics computer-vision cv webcam

supervision-by-registration - Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

•    Python

---

We propose a method to find facial landmarks (e.g. corner of eyes, corner of mouth, tip of nose, etc) more precisely. Our method utilizes the fact that objects move smoothly in a video sequence (i.e. optical flow registration) to improve an existing facial landmark detector. The key novelty is that no additional human annotations are necessary to improve the detector, hence it is an “unsupervised approach”. See the README in cache_data.

giantemoji

•    Javascript

---

Giant Emoji is an experimental openFrameworks application that translates your facial expressions into a giant emoji. It was created over a three week sprint and debuted at Google I/O 2016. We thought it might be fun for an attendee to turn their face into an emoji. So, we set out to figure out how to make that happen. This is the result. The app is running several algorithms to detect facial landmarks, and run sentimental analysis on these. The openFrameworks app delivers these landmark points and sentimental analysis results via JavaScript injection into a local WebView and/or over WebSockets to a remote browser, ready for HTML5 canvas animation.

face2face-demo - pix2pix demo that learns from facial landmarks and translates this into a face

•    Python

---

This is a pix2pix demo that learns from facial landmarks and translates this into a face. A webcam-enabled application is also provided that translates your face to the trained face in real-time. If you want to download my dataset, here is also the video file that I used and the generated training dataset (400 images already split into training and validation).

tensorflow python3 pix2pix-tensorflow

libface - Face Recognition Library

•    C++

---

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

learnopencv - Learn OpenCV : C++ and Python Examples

•    Jupyter

---

Learn OpenCV : C++ and Python Examples

computer-vision machine-learning ai deep-learning deep-neural-networks deeplearning computervision opencv opencv-python opencv-library opencv3 opencv-cpp opencv-tutorial

brfv4_javascript_examples - BRFv4 - HTML5/Javascript - examples project

•    Javascript

---

It is a real time face detection and tracking SDK. You put in image data (camera stream or single picture) and it outputs facial data. This page also includes all available packages for download.

face tracking detection emscripten web face-tracking face-detection

OpenCV - Open Source Computer Vision

•    C++

---

OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision. The library has more than 500 optimized algorithms. It is used to interactive art, to mine inspection, stitching maps on the web on through advanced robotics.

image-processing visualization library 3d-image-processing 3d image-analysis

bgslibrary - A background subtraction library

•    C++

---

The BGSLibrary was developed early 2012 by Andrews Sobral to provide an easy-to-use C++ framework for foreground-background separation in videos based on OpenCV. The bgslibrary is compatible with OpenCV 2.x and 3.x, and compiles under Windows, Linux, and Mac OS X. Currently the library contains 43 algorithms. The source code is available under GNU GPLv3 license, the library is available free of charge to all users, academic and commercial.

background-subtraction opencv bgs computer-vision foreground-detection

4dface - Real-time 3D face tracking and reconstruction from 2D video

•    C++

---

This is a demo app showing face tracking and 3D Morphable Model fitting on live webcams and videos. It builds upon the 3D face model library eos and the landmark detection and optimisation library superviseddescent. Clone with submodules: git clone --recursive git://github.com/patrikhuber/4dface.git, or, if you've already cloned it, get the submodules with git submodule update --init --recursive inside the 4dface directory.

computer-vision face-models video-processing modern-cpp