Result for 1E8342BB2628FF3A33D8C80D49CA8DCE2880642C

Query result

Key Value
FileName./usr/share/doc/python-vigra-doc/html/search.html
FileSize3764
MD510DFF06DC451238681A11412B9D5D4C8
SHA-11E8342BB2628FF3A33D8C80D49CA8DCE2880642C
SHA-2564DCA5B6FCA929E679B5613229E952D8AE1AAEA7ED71A442C554AF1F0E693DB10
SSDEEP96:ETffF109q2D9ljmzG6iCnW6Za8C2DKjmzG6u:O3FF+gyqa8CMyf
TLSHT1877174129CF1E41380628AD7E4F6FD16BE86D10BD6069808B0DC56AD2FC2F984D4FB9D
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
FileSize87012
MD55C90B16341686D0DF3D1B73DE3107AE1
PackageDescriptionDocumentation for Python bindings for the C++ computer vision library Vision with Generic Algorithms (VIGRA) is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principle know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment. . This package contains documentation for Python bindings for the VIGRA library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-vigra-doc
PackageSectiondoc
PackageVersion1.10.0+dfsg-11ubuntu2
SHA-198F94CAAF49C588739FC842B89B8B94352FEE09E
SHA-256E77380213078EC08A50CCA151DEC3C70CE26BEAE17834EFC4BDC72F3B3A8FF92