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Showing 8 open source projects for "as built"

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  • 1
    SciPy

    SciPy

    SciPy library main repository

    ...The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. Both SciPy and NumPy run on all popular operating systems, are fast and easy to install, and are powerful yet easy to use. They’re currently depended upon by numerous leading scientists and engineers all over the world. Try them for yourself!
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    Downloads: 6 This Week
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  • 2
    ArrayFire

    ArrayFire

    ArrayFire, a general purpose GPU library

    ...Rigorous benchmarks and tests ensuring top performance and numerical accuracy. Cross-platform compatibility with support for CUDA, OpenCL, and native CPU on Windows, Mac, and Linux. Built-in visualization functions through Forge.
    Downloads: 2 This Week
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  • 3
    Imagine

    Imagine

    PHP 5.3 object oriented image manipulation library

    Imagine is a OOP library for image manipulation built in PHP 5.3 using the latest best practices and thoughtful design that should allow for decoupled and unit-testable code. ImagineInterface (Imagine\Image\ImagineInterface) and its implementations is the main entry point into Imagine. You may think of it as a factory for Imagine\Image\ImageInterface as it is responsible for creating and opening instances of it and also for instantiating Imagine\Image\FontInterface object.
    Downloads: 0 This Week
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  • 4
    Kingfisher

    Kingfisher

    Lightweight, pure-Swift library for downloading images from the web

    ...Prefetching images and showing them from the cache to boost your app. View extensions for UIImageView, NSImageView, NSButton and UIButton to directly set an image from a URL. Built-in transition animation when setting images. Customizable placeholder and indicator while loading images.
    Downloads: 0 This Week
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  • 5
    SMILI

    SMILI

    Scientific Visualisation Made Easy

    ...It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line. See our YouTube channel for tutorial videos via the homepage. The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily.
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    Downloads: 26 This Week
    Last Update:
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  • 6
    kgclock

    kgclock

    Desktop Analog Clock for Linux and notification system

    Desktop clock for X Windows/Linux, provides desktop clock and a alert/notification system. Built using Kulina Graphics Library (kglib) and the companion development tool 'kgdevelop', 'kgclock' has very few other dependencies. However Kulina Graphics depends on Graphic Magick for its image processing components. Hence Kulina Graphics depends on Graphic Magick and its dependencies. Kulina Graphics Libray and kgdevelop are available for free download.
    Downloads: 3 This Week
    Last Update:
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  • 7

    matImage

    An image processing and analysis library for Matlab

    MatImage is a Matlab library for image processing and analysis in 2D and 3D. It contains more than 250 fonctions for image enhancement, filtering, analysis, or visualisation, as well as for creating basic test shapes. It is built as a complement of the Mathworks image processing toolbox (IPT). Project is being transfered to GitHub: http://github.com/dlegland/matImage
    Downloads: 0 This Week
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  • 8

    AlgART Java Libraries

    Open source library for processing arrays and matrices

    ...Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over matrices, etc. - please see at the site. Almost all classes and methods are thoroughly documented via JavaDoc (you may read full JavaDoc at the site).
    Downloads: 0 This Week
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