Result for 145CD416665AF3DB3F92A7CB57E2847545677831

Query result

Key Value
FileName./usr/share/doc/python-vigra-doc/html/index.html
FileSize444759
MD501587EA5E05EFDEA3CEA2768AFB7BEA2
SHA-1145CD416665AF3DB3F92A7CB57E2847545677831
SHA-2561BE1A178040E41D53C9108E82A917CC48EF858066B6044323340948E37FD15FF
SSDEEP12288:QhnJLmmKXp5qp5yp55rlv81p5tp5Pp5NbWx+p5Sp5A:QjT
TLSHT19394A555E2B24277047393E2EBEF0F66B3F08869E461105191FCD3A907CAC95B967C2B
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