Result for 28AFED7A97C31350E35EB950921DA4839B2FEC33

Query result

Key Value
FileName./usr/bin/compute_image_mean
FileSize13904
MD5914EAE40C129223BB521904899CDA68D
SHA-128AFED7A97C31350E35EB950921DA4839B2FEC33
SHA-256003BB18E60003A27C6E001D6646C160EDF50F2BA8FAB8C5D39A0C069BC760C3F
SSDEEP192:/9AEEb2ld0naWnLb5BnEV3GI9zzBJk+d+9c8m9AH/a+S0+4kd4tMZnBA0:/9GYwLLEV3TVrkFON6S+S0+4kd4tony
TLSHT16B52B64EB5418D3BCCC02EBDF11BC728D361B965D18B1BD3664871582EE24DC6E6BB84
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