Showing 36 open source projects for "ghost 4 linux"

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  • 1
    CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.
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  • 2
    This Java native library wraps OpenCV (Computer Vision Lib.) function cvMatchTemplate and implements methods for utilities result visualization. It allows efficient images template matching using Normalized Cross-Correlation (NCC) and others algorithms.
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  • 3
    The webcam computer vision (WCCV) project focuses on computer vision algorithms and systems that follow the web cam paradigm: cheap, robust and efficient. The project comprises designs, patterns, code, tutorials and examples.
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  • 4
    The Video Processing Evaluation Resource: A toolkit for evaluating computer vision algorithms on video, and a corresponding tool for annotating video streams with spatial metadata.
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  • 5
    Computer Vision Software designed for AttyTheWalker, a made from scratch hexapod robot. Entirely developed in C language for GNU/Linux platforms it's the best way to move the robot using a personal computer with RS-232 serial communication.
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  • 6
    This projects aim is to create an easy to use system for computer perception and computer vision tasks. It consists of three parts; a computer perception library (libCP), a processor based framework, and a graphical userinterface.
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  • 7
    The goal of cvtk is to provide an easy to use computer vision framework that allows real-time tracking of color-marked objects in 2 dimensions.
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  • 8
    C++ library that implements basic data structures and algorithms for computer vision and image processing applications
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  • 9
    A collection of user contributed applications which use the Open Computer Vision Library
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  • 10
    Computer Vision library using GPU environment acceleration. Based on openCV and openGL
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  • 11
    ViKi (Virtual Interactive keyboard Interface) is a global framework that enables contactless human machine interaction using computer vision techniques. Only a simple webcam is sufficient to emulate traditional devices such as mouse and keyboard do.
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