Result for 2E1B4C6D0C8440C4E309B20814F7678FEF674E44

Query result

Key Value
FileName./usr/bin/convert_imageset
FileSize55544
MD588034C0EAF8F1A60F876BC875D027A1D
SHA-12E1B4C6D0C8440C4E309B20814F7678FEF674E44
SHA-2568A3FB6C4F3954D8592DE25A3EF9592AAEAADD63709499763CDBB0CE1E91A1C7C
SSDEEP768:xnTgoNtP81sFC9NG0Lq1ElndZwyaolwZK0HDgxQOOXbiZB6:xnkoNtPisFC5N7ZoDit++Zs
TLSHT15C43191FF10D9C6BD9C39B783287136BA7127C94CA958B963189870C5F965CD8EB8EC0
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
FileSize1480176
MD584B0955F9AB24914699A21F590630A73
PackageDescriptionTools for fast, open framework for Deep Learning (CPU_ONLY) Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley AI Research Lab (BAIR) and community contributors. . It contains caffe executables, configured as CPU_ONLY. . Issue this command at the root of caffe source tree for a unit test: $ caffe-gtest --gtest_shuffle --gtest_filter="-*GPU*"
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamecaffe
PackageSectionscience
PackageVersion1.0.0+git20180821.99bd997-7+b1
SHA-19C5BBCA4874E0CFC12185F6FF17CC0F7EDD48E65
SHA-256094A1B382DD4EEF4EED4B3759E0C31D051DA7D0356881E45C64E532F3EA203A9