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This is YOLO-v3 and v2 for Windows and Linux. YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. YOLO is extremely fast and accurate. It uses a single neural network to divide a full image into regions, and then predicts bounding boxes and probabilities for each region.
This project is a fork of the original Darknet project.
reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.
ANNGD is a artificial neural network gender detection application. The detection is made in real time images captured by webcam by opencv library. The package include applications to image pre-processing and artificial neural network back-propagation training.
Real time face tracking and recognition refers to the task of locating human faces in a video stream and identifying the faces by matching them against the database of known faces.
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Fully automated segmentation of moving objects from a stationary scene using pre-stored scene images. Needs no external parameters or settings; all parameters are derived internally from the pre-stored images. Implemented using OpenCV framework.
zSVC provides an efficient implementation of the Scalable Video Coding extension of H.264. Its aim is a real-time SVC decoder framework on PC platform.
Face tracking system that allows the user to interact with the computer moving the head. It's possible to move a camera in a 3D scene and the mouse in the screen. Contains also an open source implementation of the condensation algorithm.
The webcam4mouse program simulate the mouse working through the interpretation of webcam streams (using at most 3 webcams).
An effective event of mouse (moving or clicking) can be joined with one (or more contemporaneous) movement finding by webcams.
The UHAPI4Linux project is working on an open source implementation of UHAPI:
1. Provide development platform on PC for application and middleware
2. Demonstrate UHAPI concepts
3. Bootstrap developers with UHAPI
nemosomen is a framework for designing open source, network based, multimedia (video/openGL/sound/MIDI) realtime toys
a suite of tools for distributed development, processing of media. It tries to shift most of the working process in realtime processes.