Search Results for "c programming framework"

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.

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. ...

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.

Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters,...

The GPUImage framework is a BSD-licensed iOS library that lets you apply GPU-accelerated filters and other effects to images, live camera video, and movies. In comparison to Core Image (part of iOS 5.0), GPUImage allows you to write your own custom filters, supports deployment to iOS 4.0, and has a slightly simpler interface. However, it currently lacks some of the more advanced features of Core Image, such as facial detection.

GSVideo is a cross-platform library for the Processing programming language that provides video support (movie playback, video capture, creation of movie files) through the use of the GStreamer multimedia framework.

Includes a framework and various methods of motion detection, enhancement, object tracking.

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.

The open source, multimodal interactive "Sensitive Artificial Listener" dialogue system created by the EU project SEMAINE.

Python framework for video processing and content analysis using CUDA for acceleration.

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.

This project provides realtime implementations of popular HDR tone mapping operators on GeForce 8800 GPUs using the CUDA programming environment.

Genjutsu-vision is a networked computer vision framework for OpenGL. Based upon GLFW and IPP for optimization, networked computer vision development technologies enable vision analysis of data from multiple sources.

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.

Basic framework for doing better GL demos