How to Install and Uninstall cloudcompare.x86_64 Package on Fedora 36

Last updated: June 26,2024

1. Install "cloudcompare.x86_64" package

This guide covers the steps necessary to install cloudcompare.x86_64 on Fedora 36


    
        
            $
        

        
            
                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                cloudcompare.x86_64
            
                    
    
    Copied

2. Uninstall "cloudcompare.x86_64" package

Please follow the step by step instructions below to uninstall cloudcompare.x86_64 on Fedora 36:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                cloudcompare.x86_64
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the cloudcompare.x86_64 package on Fedora 36

Last metadata expiration check: 3:03:52 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : cloudcompare
Version : 2.11.3
Release : 1.fc36
Architecture : x86_64
Size : 5.5 M
Source : cloudcompare-2.11.3-1.fc36.src.rpm
Repository : updates
Summary : 3D point cloud and mesh processing software
URL : http://www.cloudcompare.org/
License : GPLv2+
Description : CloudCompare is a 3D point cloud (and triangular mesh) processing software.
: It has been originally designed to perform comparison between two 3D points
: clouds (such as the ones obtained with a laser scanner) or between a point
: cloud and a triangular mesh.
: It relies on a specific octree structure that enables great performances in
: this particular function. It was also meant to deal with huge point clouds
: (typically more than 10 millions points, and up to 120 millions with 2 Gb of
: memory).
:
: Afterwards, it has been extended to a more generic point cloud processing
: software, including many advanced algorithms (registration, resampling,
: color/normal/scalar fields handling, statistics computation, sensor
: management, interactive or automatic segmentation, display enhancement...).