Result for 015AF9DC27D73796E072B39F7123907539C39264

Query result

Key Value
FileName./usr/share/doc/python-skimage-doc/html/auto_examples/segmentation/plot_random_walker_segmentation.html
FileSize24375
MD56DC4C834E8840D72D2ECCE3D7F0720F0
SHA-1015AF9DC27D73796E072B39F7123907539C39264
SHA-25679276F0917A732264C4298A7FB2694750F4F8D57242E257D0EEEE8994722E6B3
SSDEEP192:Thj/unEiDi+DKx97cCtgrCthyWylH/dcuObF1bWJNevf/7hUGAR3SBh5LDeONIQV:Th6nI+GxBcCQGEHzOLr
TLSHT1C2B2BDA0E6F2D033573391C752AE2F6B7AE2206AF095085072FD5B3C5BD8E197C5391A
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