How to Install and Uninstall libopencv-features2d406 Package on Kali Linux

Last updated: November 05,2024

1. Install "libopencv-features2d406" package

This guide covers the steps necessary to install libopencv-features2d406 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libopencv-features2d406
            
                    
    
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2. Uninstall "libopencv-features2d406" package

In this section, we are going to explain the necessary steps to uninstall libopencv-features2d406 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libopencv-features2d406
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libopencv-features2d406 package on Kali Linux

Package: libopencv-features2d406
Source: opencv (4.6.0+dfsg-13)
Version: 4.6.0+dfsg-13+b3
Installed-Size: 810
Maintainer: Debian Science Team
Architecture: amd64
Depends: libc6 (>= 2.32), libgcc-s1 (>= 3.0), libopencv-core406 (>= 4.6.0+dfsg), libopencv-flann406 (>= 4.6.0+dfsg), libopencv-imgproc406 (>= 4.6.0+dfsg), libstdc++6 (>= 11)
Size: 266296
SHA256: 4e395216137b73577b90a749510f6d5e31bb9e9e17850e4cf340998c93f6a4f6
SHA1: 91f57c1e63a071c979ed26177885e035d8d5df93
MD5sum: 9cc349b0cfea65b6bef2819e501e893f
Description: computer vision Feature Detection and Descriptor Extraction library
This package contains the OpenCV (Open Computer Vision) Feature Detection
and Descriptor Extraction runtime libraries.
.
The Open Computer Vision Library is a collection of algorithms and sample
code for various computer vision problems. The library is compatible with
IPL (Intel's Image Processing Library) and, if available, can use IPP
(Intel's Integrated Performance Primitives) for better performance.
.
OpenCV provides low level portable data types and operators, and a set
of high level functionalities for video acquisition, image processing and
analysis, structural analysis, motion analysis and object tracking, object
recognition, camera calibration and 3D reconstruction.
Description-md5:
Multi-Arch: same
Homepage: https://opencv.org
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/o/opencv/libopencv-features2d406_4.6.0+dfsg-13+b3_amd64.deb