How to Install and Uninstall cloudcompare.x86_64 Package on Fedora 34

Last updated: September 20,2024

1. Install "cloudcompare.x86_64" package

Learn how to install cloudcompare.x86_64 on Fedora 34


    
        
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                sudo dnf update
            
                    
    
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            $
        

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

In this section, we are going to explain the necessary steps to uninstall cloudcompare.x86_64 on Fedora 34:


    
        
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                sudo dnf remove
            
                        
                cloudcompare.x86_64
            
                    
    
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            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the cloudcompare.x86_64 package on Fedora 34

Last metadata expiration check: 2:05:19 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : cloudcompare
Version : 2.9.1
Release : 12.fc34
Architecture : x86_64
Size : 4.6 M
Source : cloudcompare-2.9.1-12.fc34.src.rpm
Repository : fedora
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).
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: 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...).