Result for 003000E86E5C26B2335D6B6E2662117FA3D6B526

Query result

Key Value
FileName./usr/share/doc/mrpt-doc/html/_c_text_file_lines_parser_8h_source.html
FileSize39117
MD5A382FFEE5BE9748D1428CCA69AE9E2EC
SHA-1003000E86E5C26B2335D6B6E2662117FA3D6B526
SHA-256F8F6C479319E6BC63C1CF449916DAFCB00C09B2239B45B771E05537B41AB529B
SSDEEP384:pM5YXn9BxHh9PBY7qtaCRbMHj+h+AuPPLT5L5KPet4QlDq5cSa0SDweueysw5Nc5:pZn9PqlK4AKdVzxaOLHbA3u
TLSHT142035925C9D308334663D1E67EB87B3D70E3662BD68A4618FAFC27A817C6EC0F956414
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
FileSize65176598
MD5BC9CA2E5D3003CCA0B474EF4DB1AB327
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 GPL. . 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamemrpt-doc
PackageSectiondoc
PackageVersion1:1.3.2-1
SHA-171BF062F8C466F0A9EBFF000CB458C670B5A81F0
SHA-256575B75F14A9E53E2D2D4ABBBDDA84636FAC63C9185A1826F912A47105FBED0A0