Result for 1A9BEF52C03FDE8823D3CA8E5DB850C55A28779E

Query result

Key Value
FileName./usr/bin/convert_mnist_siamese_data
FileSize22052
MD5EAF31080F849C02C5BADFA04ABD5474C
SHA-11A9BEF52C03FDE8823D3CA8E5DB850C55A28779E
SHA-2564BFA4893DCE6ABDAE5C4659C652937403A9E266B07EE5406254BA88B66DC51C8
SSDEEP384:EavkZRXjggTjNltlCuDWHE4WjeAk9lf4Tv/ZjmGOpBrJ+V:MfTRlHCuDHKAk9lf4TdmG
TLSHT11AA20716BB46DD35E0C31BB421573339E930ACB1D787824BFA49A75886F16C4E81BB22
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
FileSize1615424
MD5F590E8C725B51E26E41319514C4AF15B
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-1C3019382D469729BF91C193747775BCAA2C0CAF3
SHA-256FBF4735B34E120C793C0C5B742694440AC60867F01098CE13DC7483490876359