Result for 01D99D4C231B2F7BDCF62D013652FD5A3D1A1CC2

Query result

Key Value
FileName./usr/share/doc/python-skimage-doc/html/auto_examples/segmentation/plot_rag_mean_color.html
FileSize9241
MD5AB7611DA2A8D2B4A78A7A4E3C4DC134D
SHA-101D99D4C231B2F7BDCF62D013652FD5A3D1A1CC2
SHA-2564E9CAEEFF3737C57C03AA9561F7F99B9C0BA8B5CDCE976094E2B70B396CC3522
SSDEEP192:BgCmhZAnEiDi+AoUu9uVjueG+SfjAgaBPLo:BgCFnI+nvPJChLo
TLSHT10F12F0AAAEF2C573403384C7A1AE6F3AB4E2441FD5805814B2FC47B45BD9F88781795E
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1315936
MD565042B6E23E4DFB1C2E638FB376ADA4D
PackageDescriptionDocumentation and examples for scikit-image scikit-image is a collection of image processing algorithms for Python. It performs tasks such as image loading, filtering, morphology, segmentation, color conversions, and transformations. . This package contains documentation and example scripts for python-skimage.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-skimage-doc
PackageSectiondoc
PackageVersion0.16.2-2ubuntu1
SHA-1755A42B3CFD3E6B484764837EF407947E32DF275
SHA-25601A0B27515743A5360A5A8F35939F8AF30792B51BA995DF307AABE1228F8B827