How to Install and Uninstall libcvd-dev Package on Kali Linux

Last updated: November 26,2024

1. Install "libcvd-dev" package

This tutorial shows how to install libcvd-dev on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libcvd-dev
            
                    
    
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2. Uninstall "libcvd-dev" package

Please follow the instructions below to uninstall libcvd-dev on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libcvd-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libcvd-dev package on Kali Linux

Package: libcvd-dev
Source: libcvd (0.0~git20221020150751.30e8cfc+ds1-1)
Version: 0.0~git20221020150751.30e8cfc+ds1-1+b2
Installed-Size: 3997
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libcvd2 (= 0.0~git20221020150751.30e8cfc+ds1-1+b2)
Size: 635180
SHA256: ffe68ebfdd09f0eb70337eeee9876a851ffccfe74bbcf64f83a0f86805307eee
SHA1: dc8cb8df40ef9d4d472546350c906cf0bc9e2d3f
MD5sum: 6a8ab8f919b4fea9f3432538bf977c13
Description: C++ library for computer vision, image, and video processing - devel files
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 development files.
Description-md5:
Multi-Arch: same
Homepage: http://www.edwardrosten.com/cvd/
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/libc/libcvd/libcvd-dev_0.0~git20221020150751.30e8cfc+ds1-1+b2_amd64.deb