Result for 614F3E725553F60A0C30DBC8E89E710628F9F3ED

Query result

Key Value
FileName./usr/bin/convert_mnist_siamese_data
FileSize22696
MD562CE5DC916BC7D6E8D4C59A85882D253
SHA-1614F3E725553F60A0C30DBC8E89E710628F9F3ED
SHA-256A75F4053602C194802A98800F97C8C33DEADBB9C30F3000492218B36D6999B6C
SSDEEP384:FIPevjbdChd5DPvJF1SWRYBpx/H2jjXpw:4J3JF8d2H5
TLSHT1E1A2C867F946DD3BCCC1B7B812CB1278F3719C18977602D3798A86049F839D90D2A788
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