How to Install and Uninstall PDAL.x86_64 Package on Oracle Linux 8

Last updated: November 01,2024

1. Install "PDAL.x86_64" package

Here is a brief guide to show you how to install PDAL.x86_64 on Oracle Linux 8


    
        
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                sudo dnf update
            
                    
    
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            $
        

        
            
                sudo dnf install
            
                        
                PDAL.x86_64
            
                    
    
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2. Uninstall "PDAL.x86_64" package

Here is a brief guide to show you how to uninstall PDAL.x86_64 on Oracle Linux 8:


    
        
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                sudo dnf remove
            
                        
                PDAL.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the PDAL.x86_64 package on Oracle Linux 8

Last metadata expiration check: 7:06:31 ago on Mon Sep 12 02:51:38 2022.
Available Packages
Name : PDAL
Version : 2.1.0
Release : 8.el8
Architecture : x86_64
Size : 88 k
Source : PDAL-2.1.0-8.el8.src.rpm
Repository : epel
Summary : Point Data Abstraction Library
URL : https://www.pdal.io
License : BSD and ASL 2.0 and MIT and Boost
Description : PDAL is a BSD licensed library for translating and manipulating point cloud
: data of various formats. It is a library that is analogous to the GDAL raster
: library. PDAL is focused on reading, writing, and translating point cloud
: data from the ever-growing constellation of data formats. While PDAL is not
: explicitly limited to working with LiDAR data formats, its wide format
: coverage is in that domain.
:
: PDAL is related to Point Cloud Library (PCL) in the sense that both work with
: point data, but PDAL’s niche is data translation and processing pipelines, and
: PCL’s is more in the algorithmic exploitation domain. There is cross over of
: both niches, however, and PDAL provides a user the ability to exploit data
: using PCL’s techniques.