How to Install and Uninstall libg2o-doc Package on Kali Linux

Last updated: November 26,2024

1. Install "libg2o-doc" package

Please follow the steps below to install libg2o-doc on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libg2o-doc
            
                    
    
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2. Uninstall "libg2o-doc" package

Please follow the step by step instructions below to uninstall libg2o-doc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libg2o-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libg2o-doc package on Kali Linux

Package: libg2o-doc
Source: g2o
Version: 0~20230806-4
Installed-Size: 313542
Maintainer: Debian Science Maintainers
Architecture: all
Size: 208954456
SHA256: b5dfe59135aaf7155bc78f17c6c241be36a2256be9441a48712dec5ba23d60a3
SHA1: f699cc096773aadba51b82e0efac26b31799a178
MD5sum: 3e71f2462f65261401bc20e68ba692d9
Description: 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
Description-md5:
Homepage: http://www.g2o.org
Section: doc
Priority: optional
Filename: pool/main/g/g2o/libg2o-doc_0~20230806-4_all.deb