Result for 29CB507FCCB06C7EF076CCE867ECC337E8EA888E

Query result

Key Value
FileName./usr/lib/mipsel-linux-gnu/libopencv_datasets.so.4.5.3
FileSize889780
MD5C6A348B6B9F6A5FF47E23C5C32C384A9
SHA-129CB507FCCB06C7EF076CCE867ECC337E8EA888E
SHA-25659437DA52F587392F569C328316EB1C5EABE1BB0097D987250E87A7B1894F66C
SSDEEP12288:kc64YN6gXo2Ag19+VlqqRFY44fupv1b4mX:kc64YN6gLAg19IlqqRFY44WDb4mX
TLSHT14E15BE45DE923E7BDC4BFDB2021C869A62CE253720AD291B6D71D004BD9E14AAD73CDC
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
FileSize4031220
MD500623D024F3263D9CC66C5AB6B6D3AF7
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-11B40472F9809BF4438A96F313741A5139A7D4BFC
SHA-2565EED5E77921DE5F7F522198346293CA4493873B37B6E7642B16562F278A5DA70