How to Install and Uninstall darknet Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 22,2024

1. Install "darknet" package

Please follow the step by step instructions below to install darknet on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                darknet
            
                    
    
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2. Uninstall "darknet" package

Please follow the instructions below to uninstall darknet on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                darknet
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the darknet package on Ubuntu 21.04 (Hirsute Hippo)

Package: darknet
Architecture: amd64
Version: 0.0.0+git20180914.61c9d02e-2build3
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Ying-Chun Liu (PaulLiu)
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 5633
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libopencv-core4.5 (>= 4.5.0+dfsg), libopencv-highgui4.5 (>= 4.5.0+dfsg), libopencv-imgcodecs4.5 (>= 4.5.0+dfsg), libopencv-videoio4.5 (>= 4.5.0+dfsg), libstdc++6 (>= 5.2)
Filename: pool/universe/d/darknet/darknet_0.0.0+git20180914.61c9d02e-2build3_amd64.deb
Size: 3283956
MD5sum: e5422ea1a49bae59d9372ab4ea71b4b7
SHA1: c23cb08be9c311fe6459fd81da9a6f8ede6fdbe4
SHA256: 6bf0bb938e95a0ba3fe387702f7676675bd8d4dc570be34ad3129335c784e4ee
SHA512: ad2cafc82ae72dc635fc38757a6b80c9a6ad362756fd4e73ec0e2bb42f982ae4572657237fa883e635676519a1d337e5da31301f7dffb056623d7a402e3828f7
Homepage: https://pjreddie.com/darknet/
Description-en: Open Source Neural Networks in C
Darknet is an open source neural network framework written in C and CUDA.
It is fast, easy to install, and supports CPU and GPU computation.
Description-md5: ca02cc401e27e140a3286c576fa481ed