Result for 02F9B143465F3A18B2DAE1028784832CAC5682F7

Query result

Key Value
FileName./usr/bin/convert_mnist_siamese_data
FileSize22696
MD5299ACB66484463DD3CD0CE65DC9BDE95
SHA-102F9B143465F3A18B2DAE1028784832CAC5682F7
SHA-2560996CE9E4A256D488C4FB463E3458FAF083FB352B87E63BD1425E8B1D99796D0
SSDEEP384:yldmURnv4IDkdM6yvVGvK0LRlVlBOuuw/H2ZjgWQ+:QaKNI32NgR
TLSHT1B4A2C716F94ADD3BCCC5B7B8159F1739F3316C15AB1A42E276144908DFE16E80E267C8
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
FileSize1488724
MD5C6C19419A076065D494AE252D7231930
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+git20180821.99bd997-8+b2
SHA-10455C2DAA83F708488398302C19768906B119E90
SHA-256573878476AB7B01C41CC8501CFC86D76529A72C0064C49D7D2879B3C52B4CF97