How to Install and Uninstall libopencv-ml-dev Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: April 19,2024

1. Install "libopencv-ml-dev" package

This tutorial shows how to install libopencv-ml-dev on Ubuntu 21.04 (Hirsute Hippo)


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

This guide covers the steps necessary to uninstall libopencv-ml-dev on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                libopencv-ml-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libopencv-ml-dev package on Ubuntu 21.04 (Hirsute Hippo)

Package: libopencv-ml-dev
Architecture: amd64
Version: 4.5.1+dfsg-4ubuntu1
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: 1592
Depends: libopencv-core-dev (= 4.5.1+dfsg-4ubuntu1), libopencv-ml4.5 (= 4.5.1+dfsg-4ubuntu1)
Filename: pool/universe/o/opencv/libopencv-ml-dev_4.5.1+dfsg-4ubuntu1_amd64.deb
Size: 266892
MD5sum: b59e328a6324e2dbdf943c446f71eb21
SHA1: a65ec537a9eaf3448210e7c28355aded25473bdf
SHA256: f835e66f544496cbea420bf2679ab14c5c5226cb1491a8bdff51e3b457b81156
SHA512: e73c3f3064569df813bf8cdd19cb9203ac3cdfaffce094d80b17a26497f3927f4764cae1f283e506eee6869d7a3e2bf85547ecc86907885e93501974b14953fe
Homepage: https://opencv.org
Description-en: development files for libopencv-ml4.5
This package contains the header files and static library needed to compile
applications that use OpenCV (Open Computer Vision) Machine Learning library.
.
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: ec248fa0ac14a13bfa5b97413a155972