Result for 371B4BE51CFAC00E9F23C2C1C491BADD46A6BF60

Query result

Key Value
FileName./usr/share/doc/python-vigra-doc/html/index.html
FileSize714545
MD5481228DB1197749971DFD71EEA9AA188
SHA-1371B4BE51CFAC00E9F23C2C1C491BADD46A6BF60
SHA-256F82FDC4D503ED43641A897B48D46ABE42E5EC3902403CE8F69E4E1B3930B50F2
SSDEEP12288:v0be1lVpPCpPdpPkkaB3pPipPHO3mlpPZpPb6yVi:Ai
TLSHT120E43191E2F24637007392D797FE0F36B2E68429E491149596FCD3A943CDCD4BA27C2A
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
FileSize112436
MD5502949FB1F71EC47C34E1B4C50D97D7D
PackageDescriptionDocumentation for Python3 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 Python3 bindings for the VIGRA library.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-vigra-doc
PackageSectiondoc
PackageVersion1.11.1+dfsg-7ubuntu1
SHA-1E94BAE34570CCD5350C968A4601B468E623D4B23
SHA-2566249AFC337CC6491FF5D602053C523345F8C40D27577FA882FC9BFAA9BF45073