Result for 022FC5C6A6717FE45841073EF7AACFD695CCC47A

Query result

Key Value
FileName./usr/share/doc/python-skimage-doc/html/_sources/auto_examples/features_detection/plot_gabor.rst.txt
FileSize6500
MD59A83292F36960E165B034D26F1BC9FE6
SHA-1022FC5C6A6717FE45841073EF7AACFD695CCC47A
SHA-2568579C6FFFFC8A9A73DE16A27692FC1594F45A9DF728C3E80C8FEF275A7048BD2
SSDEEP192:qFMQO8P1NyecRttfqIXku7Nq+ND3wRRXLD2aymoP5:h8P1ceOBTku79VA3bKaE5
TLSHT100D1947E2E887627634310ACE6BF095366DB104B9010ABA533AC43453FD1B38D5BAF59
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
FileSize43332452
MD505BBB81F13DDE4D6BDBE64C28BAEBFB9
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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-skimage-doc
PackageSectiondoc
PackageVersion0.18.3-1
SHA-173DDC36719BC18EF7A3BCC7B28770723875F348F
SHA-2569B18D1DB016E1EAD7608D198487F6FA14E224B3ADEB85799D9DE2C154431F93A