Result for 105E1AB74483C7AB4CC119AB922496A246F81F5D

Query result

Key Value
FileName./usr/share/doc/python-vigra-doc/html/search.html
FileSize3514
MD57ECC863F172AD2CFD6B93FEA009FC0D0
SHA-1105E1AB74483C7AB4CC119AB922496A246F81F5D
SHA-256884758FFFD34EB773737939957BAB0CC841755F07A8ABFF114DB59B641183D19
SSDEEP96:XTffF109MD9ljmDG62CnW6Za8vDKjmDG6q:D3FngC2a8dC9
TLSHT122715115ACF1E41380628AD3D4F6FD16AE85E147D70A8848B0DC56AD2FC2F888D4F79D
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
FileSize88344
MD555F732143C3C00FF9938B8467B027F55
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-3ubuntu2
SHA-10BD10A1112100D7738CAA79F43666BBCA7D9FFFB
SHA-25667D6EF7A6ECBB39B744892B28288384E63FB0D12CF5DC5A88D616124566BF225