Result for 650F8ABC3999B22C0D94C4BC85A92F2843BE4067

Query result

Key Value
FileName./usr/bin/convert_mnist_siamese_data
FileSize22696
MD5B4A9F2878D9DA5E3301934015F818EC4
SHA-1650F8ABC3999B22C0D94C4BC85A92F2843BE4067
SHA-25608D556BE707D6CBBC8E1B78B79087E3A9EAC1997C3444299ED9A8572EE1A2B41
SSDEEP384:l2pRnv4IDbdyjVBL//Oc3bg6y/H2ZjItdnk:wanZnrrNQ2N4
TLSHT1B1A2B61BF94B9D7BCCC5A7F8159F0338F3219C48971A42E2BA494A045FE16EC9D2D788
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