How to Install and Uninstall python3-torchvision Package on Linux Mint 21.3 (Virginia)

Last updated: December 23,2024

1. Install "python3-torchvision" package

Here is a brief guide to show you how to install python3-torchvision on Linux Mint 21.3 (Virginia)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-torchvision
            
                    
    
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2. Uninstall "python3-torchvision" package

Please follow the guidance below to uninstall python3-torchvision on Linux Mint 21.3 (Virginia):


    
        
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                sudo apt remove
            
                        
                python3-torchvision
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-torchvision package on Linux Mint 21.3 (Virginia)

Package: python3-torchvision
Architecture: amd64
Version: 0.8.2-1ubuntu2
Priority: optional
Section: universe/science
Source: pytorch-vision
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Deep Learning Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1239
Depends: python3-torch (>= 1.6.0), python3 (<< 3.11), python3 (>= 3.10~), python3-numpy, python3-pil, python3:any, libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11), libtorch1.8 (>= 1.8.1)
Filename: pool/universe/p/pytorch-vision/python3-torchvision_0.8.2-1ubuntu2_amd64.deb
Size: 259824
MD5sum: d10180150bd6f5116053228d75e8cf0d
SHA1: 96f06f2c3f48bcc4df2d313f169da30312f7d575
SHA256: 88461d204fe128f76cadd29ec60df8a30bfe4c9ec71b5f0444e4e922fcd1eb40
SHA512: 10d75c477af53442252226d8165abec643afea4fc08608d37329a81b012a87a2f2c3cdca04a932e2ab62aa3e8d2ac8bca734b25ffd7c6be1df1079833e605023
Homepage: https://github.com/pytorch/vision
Description: Datasets, Transforms and Models specific to Computer Vision
Description-md5: 721d4eb100852b56685353adbfea1933