Result for 6B6BE4A3AAF3DCD2B784F18893D91C3275F1A973

Query result

Key Value
FileName./usr/share/doc/python-vigra-doc/html/index.html
FileSize457249
MD5D9A26EFE66AF4DEFA62159ED3B93C154
SHA-16B6BE4A3AAF3DCD2B784F18893D91C3275F1A973
SHA-2567F23654FE7A1FBCD16696BBA7D0E931E4009B39967DBF27CBE600CA1CE6D4E4A
SSDEEP12288:VMnSU1l8p4Zp4pp48k6r8Bp4ap4qp4POXR0p4pp4U:VS
TLSHT13CA47245E2F20677047392D69BEF0F7AB3E68869E051144291FCD3A847CECD4BA67C1A
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