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g2o package

g2o 0~20230806-4.1 source package in Ubuntu

Changelog

g2o (0~20230806-4.1) unstable; urgency=medium

  * Non-maintainer upload.
  * Rename libraries for 64-bit time_t transition.  Closes: #1061964

 -- Michael Hudson-Doyle <email address hidden>  Wed, 28 Feb 2024 09:35:01 +0000

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
g2o_0~20230806-4.1.dsc 2.3 KiB 2c77b7b03aa4805d21e05ee4547fc96a56f71ec1985bcc7df04ca1f0fd56414c
g2o_0~20230806.orig.tar.xz 696.6 KiB 52acdc696d6d8d3e2679cf99c33545c082fe266b544108665f1042d9cc77ae96
g2o_0~20230806-4.1.debian.tar.xz 9.2 KiB b9628195b39e05e233b908cc1fd42c72621a6c87d3be0b8c03560cd321e48f9f

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Binary packages built by this source

libg2o-dev: C++ framework for optimizing graph-based nonlinear error functions

 A wide range of problems in robotics as well as in computer-vision involve the
 minimization of a non-linear error function that can be represented as a graph.
 Typical instances are simultaneous localization and mapping (SLAM) or bundle
 adjustment (BA). The overall goal in these problems is to find the
 configuration of parameters or state variables that maximally explain a set of
 measurements affected by Gaussian noise. g2o is an open-source C++ framework
 for such nonlinear least squares problems. g2o has been designed to be easily
 extensible to a wide range of problems and a new problem typically can be
 specified in a few lines of code. The current implementation provides solutions
 to several variants of SLAM and BA. g2o offers a performance comparable to
 implementations of state-of-the-art approaches for the specific problems
 (02/2011)
 .
 Development files

libg2o-doc: C++ framework for optimizing graph-based nonlinear error functions

 A wide range of problems in robotics as well as in computer-vision involve the
 minimization of a non-linear error function that can be represented as a graph.
 Typical instances are simultaneous localization and mapping (SLAM) or bundle
 adjustment (BA). The overall goal in these problems is to find the
 configuration of parameters or state variables that maximally explain a set of
 measurements affected by Gaussian noise. g2o is an open-source C++ framework
 for such nonlinear least squares problems. g2o has been designed to be easily
 extensible to a wide range of problems and a new problem typically can be
 specified in a few lines of code. The current implementation provides solutions
 to several variants of SLAM and BA. g2o offers a performance comparable to
 implementations of state-of-the-art approaches for the specific problems
 (02/2011)
 .
 Documentation

libg2o0t64: C++ framework for optimizing graph-based nonlinear error functions

 A wide range of problems in robotics as well as in computer-vision involve the
 minimization of a non-linear error function that can be represented as a graph.
 Typical instances are simultaneous localization and mapping (SLAM) or bundle
 adjustment (BA). The overall goal in these problems is to find the
 configuration of parameters or state variables that maximally explain a set of
 measurements affected by Gaussian noise. g2o is an open-source C++ framework
 for such nonlinear least squares problems. g2o has been designed to be easily
 extensible to a wide range of problems and a new problem typically can be
 specified in a few lines of code. The current implementation provides solutions
 to several variants of SLAM and BA. g2o offers a performance comparable to
 implementations of state-of-the-art approaches for the specific problems
 (02/2011)

libg2o0t64-dbgsym: debug symbols for libg2o0t64