How to Install and Uninstall libopencv-dnn-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: April 27,2024

1. Install "libopencv-dnn-dev" package

This is a short guide on how to install libopencv-dnn-dev on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libopencv-dnn-dev
            
                    
    
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2. Uninstall "libopencv-dnn-dev" package

Please follow the steps below to uninstall libopencv-dnn-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libopencv-dnn-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libopencv-dnn-dev package on Ubuntu 21.10 (Impish Indri)

Package: libopencv-dnn-dev
Architecture: amd64
Version: 4.5.3+dfsg-1ubuntu1
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: opencv
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 11230
Depends: libopencv-core-dev (= 4.5.3+dfsg-1ubuntu1), libopencv-dnn4.5 (= 4.5.3+dfsg-1ubuntu1)
Filename: pool/universe/o/opencv/libopencv-dnn-dev_4.5.3+dfsg-1ubuntu1_amd64.deb
Size: 1496348
MD5sum: 34d690d853475df6b19652a9bbdf378e
SHA1: 216603c6d3c11d5ab1f7862ebb52e978fddddbdc
SHA256: 48160d3bf7902b0dd8b5997b3ecde67ec9b504dc17b79d08fb4e2ae04174e91f
SHA512: 38df09914cbe78c8363b381332913b9da34e9fcc3e362cecf6d400b7351269029a8d2288c6bc5b44638fb25f7206df83feab134adbdf2fafa265e837b8aba8b1
Homepage: https://opencv.org
Description-en: development files for libopencv-dnn4.5
This package contains the header files and static library needed to compile
in deep neural network module.
.
The Open Computer Vision Library is a collection of algorithms and sample
code for various computer vision problems. The library is compatible with
IPL (Intel's Image Processing Library) and, if available, can use IPP
(Intel's Integrated Performance Primitives) for better performance.
.
OpenCV provides low level portable data types and operators, and a set
of high level functionalities for video acquisition, image processing and
analysis, structural analysis, motion analysis and object tracking, object
recognition, camera calibration and 3D reconstruction.
Description-md5: e84976a9725fc991db2ee5c00e46d0a2