Result for 02E2EBD548B7ECF31E9832EF5395B7EE4E540BAE

Query result

Key Value
FileName./usr/share/doc/libvigraimpex-doc/html/group__MachineLearning.html
FileSize113404
MD59CBE1108878B9259D9FF433A992C3101
SHA-102E2EBD548B7ECF31E9832EF5395B7EE4E540BAE
SHA-256D54A3C36C0DF34F2EDE5172514BBF7DD6507318164EDBFCEACD091FD220CBF82
SSDEEP768:YwjDCGcCMVmSNHxFzIgjN6hj+QRlaGdcYQrlkuK:YwXCzFLjN6h5wpK
TLSHT1C0B38A1464E223B769A73193891A7FA37AC18067E39254107CFE5FB74F09DE5C22722E
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
FileSize2428422
MD5AB954CDE97200CB6BE60CAED6319DD1A
PackageDescriptionDocumentation 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 the VIGRA library.
PackageMaintainerDebian QA Group <packages@qa.debian.org>
PackageNamelibvigraimpex-doc
PackageSectiondoc
PackageVersion1.9.0+dfsg-10
SHA-1AA6DF418E78B578B52FF83DD74CC27DE261359E8
SHA-256BF61B6737447407F7F269CB907322734B02FC1DD8B66A833BA551C9793A6535A