Showing 5 open source projects for "static code analysis"

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  • 1
    SimpleITK

    SimpleITK

    A layer built on top of the Insight Toolkit (ITK)

    ...Wrapping of the C++ code is accomplished through SWIG, in principle, any language wrapped by SWIG should be applicable to SimpleITK. Unlike ITK's support of n-dimensional spatio-temporal images, SimpleITK supports 2D, 3D and 4D images. The dimensionality refers to spatiotemporal dimensions, the voxels can be n-dimensional vectors. Open-source multi-dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++.
    Downloads: 2 This Week
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  • 2
    Jimp

    Jimp

    An image processing library written entirely in JavaScript for Node

    ...If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't using. If you're using webpack you can set process.browser to true and your build of jimp will exclude certain parts, making it load faster. The static Jimp.read method takes the path to a file, URL, dimensions, a Jimp instance or a buffer and returns a Promise. In some cases, you need to pass additional parameters with an image's URL.
    Downloads: 5 This Week
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  • 3
    CT4AM

    CT4AM

    Tools for 3D image analysis of additively manufactured parts

    ...You can either execute these tools directly or use their source codes to develop your own application for toolpath analysis or correlation.
    Downloads: 0 This Week
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  • 4
    LaueTools

    LaueTools

    open source python packages for X-ray MicroLaue Diffraction analysis

    LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools
    Downloads: 2 This Week
    Last Update:
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  • 5
    .... - Non-null data initialization, and live-out data dump. - Syntactic constructs to prevent any dead code elimination on the kernel. - Parametric loop bounds in the kernels, for general-purpose implementation. - Clear kernel marking, using pragma-based delimiters.
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    Downloads: 4 This Week
    Last Update:
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