How to Install and Uninstall libg2o0 Package on Kali Linux

Last updated: May 20,2024

1. Install "libg2o0" package

Here is a brief guide to show you how to install libg2o0 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libg2o0
            
                    
    
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2. Uninstall "libg2o0" package

In this section, we are going to explain the necessary steps to uninstall libg2o0 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libg2o0
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libg2o0 package on Kali Linux

Package: libg2o0
Source: g2o (0~20230806-4)
Version: 0~20230806-4+b2
Installed-Size: 5200
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libc6 (>= 2.35), libcholmod5 (>= 1:7.3.1), libcxsparse4 (>= 1:7.0.1), libgcc-s1 (>= 3.0), libglu1-mesa | libglu1, libopenblas0, libopengl0, libstdc++6 (>= 13.1)
Size: 826740
SHA256: 5f6a06a0b5d95cb25b3d59c3a1c8c4c8f42c19cecf3219eb54f286955f5e8e2e
SHA1: 56dfe3e08e04da6888e44cdd61273796cd21d136
MD5sum: 80cf6901c1e7f30b468b4c7dc3c92fbf
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)
Description-md5:
Multi-Arch: same
Homepage: http://www.g2o.org
Section: libs
Priority: optional
Filename: pool/main/g/g2o/libg2o0_0~20230806-4+b2_amd64.deb