How to Install and Uninstall liblqr-1-0 Package on Kali Linux

Last updated: May 19,2024

1. Install "liblqr-1-0" package

This tutorial shows how to install liblqr-1-0 on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                liblqr-1-0
            
                    
    
    Copied

2. Uninstall "liblqr-1-0" package

Please follow the instructions below to uninstall liblqr-1-0 on Kali Linux:


    
        
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                sudo apt remove
            
                        
                liblqr-1-0
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the liblqr-1-0 package on Kali Linux

Package: liblqr-1-0
Source: liblqr
Version: 0.4.2-2.1
Installed-Size: 76
Maintainer: Bernd Zeimetz
Architecture: amd64
Depends: libc6 (>= 2.2.5), libglib2.0-0 (>= 2.24.0)
Size: 29116
SHA256: 8a9080533fab9e1c6b64b14450edeca82b56a8886c24285da05743fbd26f19dc
SHA1: 1b69125ac7b217167571067b39dccee15d27e413
MD5sum: 8689b23edb7240f180add419e33b894e
Description: converts plain array images into multi-size representation
The LiquidRescale (lqr) library provides a C/C++ API for performing
non-uniform resizing of images by the seam-carving technique.
.
The library takes images in plain array format as input and converts
them to a multi-size representation.
.
Following is a list of features:
.
* Areas in the image can be marked for preservation or discard
* Once the image has been fully processed, the scaling can be done
in real-time. In fact, the information can be saved and read out
later without any further processing
* The resizing is done with a single function which automatically
performs all the necessary operations; it can also work in
successive steps without wasting computational time
* Possibility to tune the carving operation by letting the seams be
less connected, or more rigid, or both
* Can export and import the visibility map (the seams)
* Other images can be attached and undergo the same carving process
as the parent image
* The automatic feature detection algorithm can be tuned by
selecting among different energy gradient functions
* Reports progress through a customizable interface
* A signalling system permits one to cleanly handle errors
.
The library implements the algorithm described in the paper "Seam
Carving for Content-Aware Image Resizing" by Shai Avidan and Ariel
Shamir, which can be found at
http://www.faculty.idc.ac.il/arik/imret.pdf
.
This package contains the shared library.
Description-md5:
Multi-Arch: same
Homepage: http://liblqr.wikidot.com/
Tag: role::shared-lib
Section: libs
Priority: optional
Filename: pool/main/libl/liblqr/liblqr-1-0_0.4.2-2.1_amd64.deb