Showing 4 open source projects for "binary analysis"

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  • 1
    Vedo

    Vedo

    A python module for scientific analysis of 3D data

    ...Export meshes as ASCII or binary to VTK, STL, OBJ, PLY formats. Analysis tools like Moving Least Squares, mesh morphing and more. Tools to visualize and edit meshes (cutting a mesh with another mesh, slicing, normalizing, moving vertex positions, etc..). Split mesh based on surface connectivity. Extract the largest connected area. Calculate areas, volumes, center of mass, average sizes etc.
    Downloads: 3 This Week
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  • 2
    Linguist

    Linguist

    Detect blob languages, suppress generated files and generate graphs

    This library is used on GitHub.com to detect blob languages, ignore binary or vendored files, suppress generated files in diffs, and generate language breakdown graphs. Linguist is a Ruby library so you will need a recent version of Ruby installed. There are known problems with the macOS/XCode supplied version of Ruby that causes problems installing some of the dependencies. Accordingly, we highly recommend you install a version of Ruby using Homebrew, rbenv, rvm, ruby-build, asdf or other...
    Downloads: 0 This Week
    Last Update:
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  • 3
    MatrixUser

    MatrixUser

    A Multi-functional GUI-based Program for Image Processing and Analysis

    The MatrixUser project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MatrixUser/ Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation. However, within Matlab, most of image manipulation functions are limited or...
    Downloads: 0 This Week
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  • 4
    PixelDbg

    PixelDbg

    Visualize any data stream, recover images, save images as files.

    Turn any data stream into an image and observe various patterns and pictures. Recover images from corrupted or unknown archives (i.e. Windows hibernation files, binary dumps, etc.). Change channel order and pixel format on the fly to interpret given data in different ways. Easily adjust scanline and image tiling while inspecting data. Observe if given data stream has high entropy. Save currently visible data as an image and analyze it later.
    Downloads: 3 This Week
    Last Update:
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