Result for 63E40ED87FF25D577FD60AF5ED8C57C760F6E2BB

Query result

Key Value
FileName./usr/bin/convert_mnist_siamese_data
FileSize18000
MD524521BFBE3FE49D7515FE34D5858046A
SHA-163E40ED87FF25D577FD60AF5ED8C57C760F6E2BB
SHA-256EF499DADDC740E251CAE9E33B13B8CC9D3993674838EA83016D7944BC95B8099
SSDEEP384:ytrhnv46LRZJ6nws7Xb5WMJliF5/XWpjJxBo:erKq6Rb5WRFVWdJxB
TLSHT1218294C76AC3CF7FC8C1377C307B0B2896608DB5C98A57D6956CA1542FD649AAE23B40
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
FileSize1425604
MD56CA227A0A63FFAAEF7B51A5BCE8E512F
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+b1
SHA-1C96E47C0FA7D8F6CB704AD18F82CEC5D714357B1
SHA-256187980E6DCC1B8A4BAF0F14CAB26380B5D79E59F227B10FDDFC20017081AD27C