Showing 8 open source projects for "framework-arduinoststm32"

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  • 1
    CognitionMaster

    CognitionMaster

    object-based image analysis framework

    Wienert S, Heim D, Kotani M, Lindequist B, Stenzinger A, Ishii M, Hufnagl P, Beil M, Dietel M, Denkert C, Klauschen F. CognitionMaster: an object-based image analysis framework. Diagn Pathol 2013, 8:34
    Downloads: 1 This Week
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  • 2
    CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
    Downloads: 0 This Week
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  • 3
    CADI is an implementation of the JPIP standard (JPEG2000 Interactive Protocol - Part 9). CADI includes a JPIP server, a JPIP proxy, and a JPIP Client. CADI is designed and programmed with the aim to provide a flexible framework to test and develop ne
    Downloads: 4 This Week
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  • 4
    A simple rendering, image processing engine. Includes a framework width (multiplatform) event handling, plugin management, a templated based math library and some exotic features like general linear camera, gpu based (OpenGL) image process...
    Downloads: 0 This Week
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  • 5
    HDRFlow is a framework to process high-dynamic range (HDR) and RAW images. It's written in C++, and is both cross-platform and hardware accelerated on modern GPUs.
    Downloads: 0 This Week
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  • 6
    Theba is a plugin-based image analysis framework for segmentation of and measurements on 3D and 2D images. Theba has a nice GUI that allows inspection and manipulation of the image and a wide range of plugins including segmentation.
    Downloads: 0 This Week
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  • 7
    NESD-Imaging is a 2D rendering framework for Java. It combines JAI and Java2D and extends them by providing lazy rendering (do not block UI). It provides geo-positionned images rendering (à la google-map). It scales well to large image set (>500GB).
    Downloads: 0 This Week
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  • 8
    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.
    Downloads: 0 This Week
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