Displaying 1 to 14 from 14 results

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.

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.

gocv - Go package for computer vision using OpenCV 3.3+

  •    Go

The GoCV package provides Go language bindings for the OpenCV 3 computer vision library.GoCV supports the latest release of OpenCV (v3.3) on Linux, OS X, and (soon) Windows.




jeelizGlanceTracker - JavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed

  •    

This JavaScript/WebGL library detects if the user is looking at the screen or not. It is very robust to all lighting conditions and lightweight (only 150KB gzipped for the main script and the neural network JSON model). It is great for playing a video only if the user is watching it. In the paths /integrationDemo*, there are several integration examples. You can host them through a static HTTPS server.

drishti - Real time eye tracking for embedded and mobile devices.

  •    C++

Native iOS, Android, and "desktop" variants of the real-time facefilter application have been added here: src/examples/facefilter. These applications link against the installed public drishti::drishti package interface, which is designed without external types in the API definition. The facefilter demos are enabled by the DRISHTI_BUILD_EXAMPLES CMake option, and the entire src/examples tree is designed to be relocatable, you can cp -r src/examples ${HOME}/drishti_examples, customize, and build, by simply updating the drishti package details. The iOS facefilter target requires Xcode 9 (beta 4) or above (Swift language requirements) and will be generated directly as a standard CMake add_executable() target as part of the usual top level project build -- if you are using an appropriate CMake iOS toolchain for cross compilation from your macOS + Xcode host for your iOS device. Please see Polly Based Build and iOS Build below for more details.


AR-AI-VIS-demo - a demo with AR, AI, Visualization

  •    Javascript

Explore the AR world with AI and visualization. AR AI VIS Demo © GeekPlux, Released under the MIT License.

brfv4_android_examples - Android Studio project (Java)

  •    Java

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.

brfv4_ane_examples - Adobe AIR native extension for Windows, macOS, iOS and Android.

  •    ActionScript

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.

brfv4_ios_examples - Xcode project (ObjectiveC/C++ examples)

  •    C++

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.

brfv4_mac_examples - macOS C++ examples utilizing OpenCV for camera access and drawing the face tracking results

  •    C++

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.

brfv4_win_examples - Windows C++ examples utilizing OpenCV for camera access and drawing the face tracking results

  •    C++

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.