Showing 70 open source projects for "one-wire"

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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
    FIPS is an image processing software, that allows you to edit your images by using several image filters, like minimum and maximum filter, median filter or filters that try to optimize the contrast.
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  • 3
    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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  • 4
    Yadipe is a collection of utilities for common digital image processing tasks. The main intend is to provide students with an overview of fundamental techniques used in this research field.
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  • 5
    JIF (Java Imaging Framework) aims to provide a rich client platform (plugin framework) for image processing.
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  • 6
    A set of libraries which includes: - Time schedule library - HTTP communication library - Generic parser library - Image processing library
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  • 7
    UnbVision is a object oriented API/GUI written in C/C++ for perform several digital image processing algorithms.
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  • 8
    Multiplatform and Open Source project for astronomical image processing
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  • 9
    Delphi image processing project.We are developing a program like Adobe Photoshop .All developers writes own DLL files to make a photoshop filter. Delphi ile photoshop benzeri uygulama geliştiriyoruz.Her uygulama geliştiricisi Delphi'de kendi resim iş
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  • 10
    The Digital Image Processing Library (dimple) is a C++ class/algorithm library for image processing. Dimple consists of a wide range of image processing routines which can be viewed as low- to mid- level vision tasks.
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  • 11
    Prolog Image Processing is a (initially) MacOS based extension to OpenProlog which allows to use image processing function in the context of Prolog.
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  • 12
    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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  • 13
    ifscat is an Interactive Feature Selection and Classification Tool for image processing and segmentation.
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  • 14
    Land Mines detection using Image Processing
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  • 15
    This project aims at implementing a variety of the image processing algorithms by means of GIL.
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  • 16
    Create a gamer who can play instead of you. Using image processing and aritificial intelligence, a AI robot will play a game and may clear the most difficult level.
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  • 17
    A Photoshop-like open source pixel-level image processing software. Due to the extremely slow access from my city to sourceforge, this project has been moved to CodePlex.
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  • 18
    This project aims to development a universal media codecs for video/audio/image processing. It use same interfaces for all codecs. And it target system is embedded system. The codecs will be include: MPEG2, MPEG4, H264, AAC, VC-1, AVS.
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  • 19

    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. ...
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  • 20

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    ...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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