How to Install and Uninstall libopencv-superres4.5d Package on Kali Linux

Last updated: May 18,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "libopencv-superres4.5d" package

Please follow the step by step instructions below to install libopencv-superres4.5d on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libopencv-superres4.5d
            
                    
    
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2. Uninstall "libopencv-superres4.5d" package

This guide let you learn how to uninstall libopencv-superres4.5d on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libopencv-superres4.5d
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libopencv-superres4.5d package on Kali Linux

Package: libopencv-superres4.5d
Source: opencv (4.5.4+dfsg-9)
Version: 4.5.4+dfsg-9+b5
Installed-Size: 173
Maintainer: Debian Science Team
Architecture: amd64
Depends: libc6 (>= 2.32), libgcc-s1 (>= 3.0), libopencv-contrib4.5d (>= 4.5.4+dfsg), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgproc4.5d (>= 4.5.4+dfsg), libopencv-video4.5d (>= 4.5.4+dfsg), libopencv-videoio4.5d (>= 4.5.4+dfsg), libstdc++6 (>= 5.2)
Size: 61348
SHA256: f015aec6f9510783f2803547115a0ca9491609708c505a1b17e2931693acb8ea
SHA1: c1e0aaf489406cb26383a32fadbdc4faaa076f0f
MD5sum: b6b51abe97ab71f257d9e7dce38c7be1
Description: computer vision Super Resolution library
This package contains the OpenCV (Open Computer Vision) Super Resolution
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: d6c05e870423afcb1e1ba16cdd7f3b6b
Multi-Arch: same
Homepage: https://opencv.org
Section: libs
Priority: optional
Filename: pool/main/o/opencv/libopencv-superres4.5d_4.5.4+dfsg-9+b5_amd64.deb