Result for 20C1A77FE7D41114986392D4C3981F9A9A2F62B4

Query result

Key Value
FileName./usr/bin/compute_image_mean
FileSize39160
MD573313CA631551E3EBC558EFCA0BD625B
SHA-120C1A77FE7D41114986392D4C3981F9A9A2F62B4
SHA-256D9AA29E109CFE4503DF03C4891EAB616EC61C46DD7680F12FD500F234FB31B28
SSDEEP384:KcnNwwiz4FdSA9IuFNNp4YBb4LhGzt5B/zLmcwWoXTsZMbZbtYkdRq1pqRsZSzH:PwwrF59bFh4YBc8p/e5/1W1Sz
TLSHT15003D71EF20ECC2BDAC2967813C65667A7323C89D2664FD63259CB1C6F425CC8F74A94
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