Result for 00058AB40B601D8D7B08D4429D104848C0EF0A89

Query result

Key Value
FileName./usr/share/doc/mrpt-doc/html/class_f_add_untraced_lines.html
FileSize10911
MD580203A7200E821D4962FE8E4B0415A80
SHA-100058AB40B601D8D7B08D4429D104848C0EF0A89
SHA-2564BAD382809E0E21F221658263EBA7B83E55875FAA1E35270652D364B3479D019
SSDEEP192:+niwbOKHoX7AJPJSXfdf8bGRgOiQtJSuEXltJS6ula3f102jnWbmQ5U:+nHbfTsXdRgOiQtw9twcznZEU
TLSHT1B0326425D9D25777C59370F2A2A87FB2B0D0016AD6024914F6FCBAF74B48F84EB53426
hashlookup:parent-total1
hashlookup:trust55

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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
FileSize562444732
MD571188D458FAF5BF93F87C9C8D332F573
PackageDescriptionMobile Robot Programming Toolkit - Documentation and examples The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform, and open source C++ library aimed to help robotics researchers to design and implement algorithms in the fields of Simultaneous Localization and Mapping (SLAM), computer vision, and motion planning (obstacle avoidance). . The libraries include classes for easily managing 3D(6D) geometry, probability density functions (pdfs) over many predefined variables (points and poses, landmarks, maps), Bayesian inference (Kalman filters, particle filters), image processing, path planning and obstacle avoidance, 3D visualization of all kind of maps (points, occupancy grids, landmarks,...), Graph-SLAM, Bundle Adjustment, etc. Gathering, manipulating and inspecting very large robotic datasets (Rawlogs) efficiently is another goal of MRPT, supported by several classes and applications. . The MRPT is free software and is released under the BSD-new. . This package provides the documentation and examples of MRPT, and the book Writing Scientific Applications with the Mobile Robot Programming Toolkit in .ps.gz format.
PackageMaintainerJosé Luis Blanco Claraco <joseluisblancoc@gmail.com>
PackageNamemrpt-doc
PackageSectiondoc
PackageVersion1:1.5.6-1
SHA-1B8FE353EBAC23B5E646D9D10123BFE09A51B43D9
SHA-2563FAF0FDBF255C5DD632FAD4112BF634F173DC59F4BFD667484C6A315C539C6EF