Result for 7FAC52D5834E565A80E2B20BB79AA95A88CB87DF

Query result

Key Value
FileName./usr/bin/compute_image_mean
FileSize39160
MD54506D58455115C3F910344661A199445
SHA-17FAC52D5834E565A80E2B20BB79AA95A88CB87DF
SHA-25622199E1EA28E0E9EC3D40B5138966787EB795923BE964291C811BE8868C07EE0
SSDEEP384:acLHf5rtA9IuFNJRRL+bupwq0TYOHoLYG8fsZU/ICiYkdBq1p2RppSQH:15e9bF5RLgMwzH1fIg1lQ
TLSHT19103F81EF60ECC2BDEC296781382136797323CA4D2624BC27258CB1C7F925CC9E75A84
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
FileSize1474540
MD57E4C79F7E9D29B8A206456443BDEEFF2
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+b2
SHA-1616D803CBC8F4BB1B2C152F1C695B93DDBA2722D
SHA-25698CD0FD532112955AAE51792D7A3AFE813A6D94AE8439C54C1DD06D6DD2EE58E