OpenVIDIA

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OpenVIDIA: Parallel GPU Computer Vision

Recent News

What is OpenVIDIA?

OpenVIDIA projects implement computer vision algorithms on computer graphics hardware, using OpenGL, Cg and CUDA. The project provides useful example programs which run real time computer vision algorithms on single or parallel graphics processing units(GPUs).

Currently OpenVIDIA consists of CVWB (Computer Vision Workbench), a Windows application that runs common image processing routines. Additionally, there are a few "cores" containing algorithms below.

OpenVIDIA projects utilize the computational power of the GPU to provide real--time computer vision and imaging much faster than the CPU is capable of while offloading the CPU to allow it to conduct concurrent tasks.

This project was founded at the Eyetap Personal Imaging Lab (ePi Lab) at the Electrical and Computer Engineering Group at the University of Toronto. It has been expanded to include contributions from many sources in academia and industry.



Your contributions and sugggestions are welcome !
Contact the OpenVIDIA admins if you have something to add or say...

email James Fung
email John Roberts

(Looking for the old site? Its at http://openvidia.sf.net/OLD-SITE-BACKUP)

Downloads (2-22-2009)

Currently OpenVIDIA consists of CVWB (Computer Vision Workbench), a Windows application that runs common image processing routines. Additionally, there are a few "cores" containing algorithms below.


CUDA VisionWorkbench
PDF Description PDF Benchmarks
CUDA VisionWorkbench 32
(1.1.0.5 for 32 bit Windows XP/Vista 2/22/2009)
Install Now Get Code
CUDA VisionWorkbench 64
(1.1.0.5 for 64 bit Windows Vista/XP 2/22/2009)
Install Now Get Code
CVWB_1.1.0.5.jpg
CUDA 2.1 is Here !
Get CUDA 2.1 Driver, Toolkit and SDK
CUDA 2.1 Helper Files
CUDA 2.1 Syntax Highlighting File for VS 2005/2008
CUDA 2.1 Syntax Highlighting File for UltraEdit 32
CUDA 2.1 Custom Build Rule File for VS 2005/2008

Looking for Your Teraflops ?
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Check out Tesla Personal Supercomputer Solutions

CUDA Stereo Imaging
(Authors: Joe Stam (NVIDIA), D. Gallup and J. M. Frahm (UNC) )
Download Now PDF

CUDA Optical Flow
(Author: Daniel Cabrini Hauagge)
Download Now

OpenVidia
(openvidia-0.8 5/2008)(Available in CVS only. This version is integrating CUDA)
This page was last modified on 12 June 2009, at 17:58. This page has been accessed 7,222 times.