brfv4_javascript_examples - BRFv4 - HTML5/Javascript - examples project

  •        17

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.

https://github.com/Tastenkunst/brfv4_javascript_examples

Tags
Implementation
License
Platform

   




Related Projects

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

  •    Javascript

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.

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

  •    Javascript

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.

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

  •    Processing

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

face-recognition

  •    Javascript

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.

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.


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.

Startrinity.com Silverlight realtime multiple face and feature points detector

  •    CSharp

StarTrinity.com face detection project makes it easier for Silverlight, .NET, Windows Phone 7 developers to detect faces from any image. Facial tracking algorithm is based on Haar features and adaboost training. It is developed in C#

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

  •    Kotlin

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.

Troll Face SDK

  •    

Application project using the Face SDK for Windows Phone for demonstration purpose

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 - Face Detection in JavaScript with getUserMedia

  •    Javascript

Face Detection in JavaScript with getUserMedia

HTML5-Face-Detection - HTML5 Video Face Detection with the CCV Javascript Library

  •    Javascript

HTML5 Video Face Detection with the CCV Javascript Library

SeetaFaceEngine

  •    C++

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.

Face Detection For Windows Phone 7

  •    

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...

libfacedetection - An open source library for face detection in images

  •    C++

This is an open source library for CNN-based face detection in images. The CNN model has been converted to static variables in C source files. The source code does not depend on any other libraries. What you need is just a C++ compiler. You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. You can enable AVX2 if you use Intel CPU or NEON for ARM.

tracking.js - A modern approach for Computer Vision on the web

  •    Javascript

The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more — all that with a lightweight core (~7 KB) and intuitive interface. You can plug tracking.js into some well supported HTML elements such as <canvas>, <video> and <img>.

deepgaze - Computer Vision library for human-computer interaction

  •    Python

Update 04/06/2017 Article "Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods" have been accepted for publication in Pattern Recogntion (Elsevier). The Deepgaze CNN head pose estimator module is based on this work. Update 22/03/2017 Fixed a bug in mask_analysis.py and almost completed a more robust version of the CNN head pose estimator.

faint - The Face Annotation Interface

  •    Java

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

tiny - Tiny Face Detector, CVPR 2017

  •    Matlab

By Peiyun Hu and Deva Ramanan at Carnegie Mellon University. Tiny Face Detector was initially described in an arXiv tech report.