How to Install and Uninstall libcvd2 Package on Kali Linux

Last updated: May 18,2024

1. Install "libcvd2" package

This tutorial shows how to install libcvd2 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcvd2
            
                    
    
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2. Uninstall "libcvd2" package

This guide let you learn how to uninstall libcvd2 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libcvd2
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcvd2 package on Kali Linux

Package: libcvd2
Source: libcvd (0.0~git20221020150751.30e8cfc+ds1-1)
Version: 0.0~git20221020150751.30e8cfc+ds1-1+b2
Installed-Size: 1805
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libavcodec60 (>= 7:6.0), libavdevice60 (>= 7:6.0), libavformat60 (>= 7:6.0), libavutil58 (>= 7:6.0), libc6 (>= 2.34), libdc1394-25 (>= 2.2.6), libgcc-s1 (>= 3.0), libgl1, libjpeg62-turbo (>= 1.3.1), libpng16-16 (>= 1.6.2-1), libstdc++6 (>= 13.1), libswscale7 (>= 7:6.0), libtiff6 (>= 4.0.3), libx11-6
Size: 489772
SHA256: 776b4ad8ac5d10f9ba36ff2fd7af867f59e5cbd4146282a5a992aba02f747330
SHA1: ffc71df96b026c637c76a7093499d8ffe11165c0
MD5sum: 0e3eedb7e682376e4ec82863fc7c177b
Description: C++ library for computer vision, image, and video processing - shared library
libCVD is a very portable and high performance C++ library for
computer vision, image, and video processing. The emphasis is on
providing simple and efficient image and video handling and high
quality implementations of common low-level image processing
function. The library is designed in a loosely-coupled manner, so
that parts can be used easily in isolation if the whole library is
not required. The video grabbing module provides a simple, uniform
interface for videos from a variety of sources (live and recorded)
and allows easy access to the raw pixel data. Likewise, the image
loading/saving module provides simple, uniform interfaces for loading
and saving images from bitmaps to 64 bit per channel RGBA images. The
image processing routines can be applied easily to images and video,
and accelerated versions exist for platforms supporting SSE.
.
This package contains the shared library.
Description-md5:
Multi-Arch: same
Homepage: http://www.edwardrosten.com/cvd/
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/libc/libcvd/libcvd2_0.0~git20221020150751.30e8cfc+ds1-1+b2_amd64.deb