Showing 39 open source projects for "graphical user interface"

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  • 1
    Web Librarian
    Web Based application to manage library materials and material borrowers. Includes a web search engine to find and reserve items by borrower ID. Painless installation, very extensible and has an intuitive U.I. Runs on MySQL. A great tool for any libr
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  • 2
    The free-vision project aims at creating a library for computer vision related functions, including camera capture interface, stereo, image processing, camera calibration and so on.
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  • 3
    JSIL is a library for image processing using the Symbian operating system version 6.0 which is efficient, uses pipelining and multiple inheritance. Interface queries are used to isolate image processing operations like indexing and iteration.
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  • 4
    ImLib3D is a C++ library and visualisation system for 3D image processing. It contains most basic image processing algorithms, and some more sophisticated ones. ImLib3D images are STL-compliant templated containers. Keywords: Medical, MRI, Brain
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  • 5
    Generic Image processing Library of Library (GILL) is a cross-platform and GP-based C++ image processing architecture helping to develop flexible and expandable image processing library.
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  • 6
    EdhLib is a general C++ extension library for MFC. This includes derivatives of MFC classes, and new classes including helpers for threading, networking, string manipulation, graphics rendering, image processing, simulations, and data persistence.
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  • 7
    ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.1 or later. HOME @ http://rsb.info.nih.gov/ij/
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    Downloads: 8 This Week
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  • 8
    Uses Microsoft VisualBasic 6.0, the Intel image processing library and the ezCap 6.0 OCX control to capture webcam images and upload them to FTP servers for online viewing. Goal is to have an efficient program with ease of use and power.
    Downloads: 1 This Week
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  • 9
    C++ library that implements basic data structures and algorithms for computer vision and image processing applications
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  • 10
    Foresight is a LGPLed wrapper that currently brings together the Intel IPL, Intel OpenCV, ImageMagick, and the Matrox MIL. The ultimate goal is to provide a standard interface for any number of acquisition and image processing libraries.
    Downloads: 1 This Week
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  • 11
    ScienceNET is a open source library written in C# which aims to provide a self contained clean .NET framework for neural networks, genetic algorithms, optimization, image processing and for other domains of a computational science.
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  • 12
    openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.
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  • 13

    golib

    C++ collection mostly for image processing

    libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others. If...
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  • 14

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    ...The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
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