Result for 173FD6A7D1368AE51C133E6E2B1A73ADC16FBEB3

Query result

Key Value
FileName./usr/lib/powerpc64le-linux-gnu/libopencv_saliency.so.4.5.3
FileSize198888
MD5CE478B9D28CA92E943599C226FB4C8F2
SHA-1173FD6A7D1368AE51C133E6E2B1A73ADC16FBEB3
SHA-256E34A73602B563AEE193906B3B34E5F9A7758B134433645BD60EA0EAC5F85CF56
SSDEEP3072:i69nCNfN2AtMmjNt3ZuvMKgj9boDeXR56DNx1b:i69nCN4AtMm/3Z8E+QQNL
TLSHT17C14E937364DAF91DF45693AC6DEA22162413C0B1915C603FA05930F9EEB70ECE179AB
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
FileSize3597368
MD50A62CF2CB465159D46CDA0B8B8AFFE57
PackageDescriptioncomputer vision contrlib library This package contains the OpenCV (Open Computer Vision) opencv_contrib runtime libraries. This package contain following contrlib libraries: . - aruco - barcode - bgsegm - bioinspired - ccalib - cnn_3dobj - cvv - datasets - dpm - face - freetype - fuzzy - hdf - hfs - img_hash - line_descriptor - matlab - optflow - ovis - phase_unwrapping - plot - reg - rgbd - saliency - sfm - stereo - structured_light - surface_matching - tracking - ximgproc - xobjdetect - xphoto - wechat-qrcode . The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance. . OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibopencv-contrib4.5
PackageSectionlibs
PackageVersion4.5.3+dfsg-1+b2
SHA-11220CFAE840784558904586239D338AFA1ADAE99
SHA-2562DE4C396F1E51B5C6932561406B8311FD3473E68E5C85A90F643E33ADE2B802F