How to Install and Uninstall libopencv-core-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 03,2024

1. Install "libopencv-core-dev" package

Here is a brief guide to show you how to install libopencv-core-dev on Ubuntu 16.04 LTS (Xenial Xerus)


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

This guide covers the steps necessary to uninstall libopencv-core-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libopencv-core-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libopencv-core-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libopencv-core-dev
Architecture: amd64
Version: 2.4.9.1+dfsg-1.5ubuntu1.1
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: opencv
Origin: Ubuntu
Maintainer: Kubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4918
Depends: libopencv-core2.4v5 (= 2.4.9.1+dfsg-1.5ubuntu1.1), zlib1g-dev
Filename: pool/universe/o/opencv/libopencv-core-dev_2.4.9.1+dfsg-1.5ubuntu1.1_amd64.deb
Size: 832358
MD5sum: 2a78f9922a1893f308a029d54d58cbaa
SHA1: 2ef1d4ce7acbc8cc18b134355ad1c0d5db55292f
SHA256: 95377feefd17a64caeaf86654b962374325b74df4249a0b14c3d31062d2a5276
SHA512: 2c406e3b2dea301431f4d7ab3a59c52bd7de52c32bfda1af99264de876ea507e3e32a08d0dde92484d688c0a8006e20fe295763113abb7058b8f8377234d73fc
Homepage: http://opencv.org/
Description-en: development files for libopencv-core
This package contains the header files and static library needed to compile
applications that use OpenCV (Open Computer Vision) core.
.
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: 2786e704a09e2c351f990aca831c96c6
Supported: 5y

Package: libopencv-core-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 4916
Maintainer: Kubuntu Developers
Original-Maintainer: Debian Science Team
Architecture: amd64
Source: opencv
Version: 2.4.9.1+dfsg-1.5ubuntu1
Depends: libopencv-core2.4v5 (= 2.4.9.1+dfsg-1.5ubuntu1), zlib1g-dev
Filename: pool/universe/o/opencv/libopencv-core-dev_2.4.9.1+dfsg-1.5ubuntu1_amd64.deb
Size: 835008
MD5sum: c53d82a170ed09d94740d65262bc675f
SHA1: 77ae6d5b0cc1f070bebe717bb89b91bcfe0d9268
SHA256: 93c1cc87d31836733bccd2cf29529de3f2b8c30d7650857f20743b64a35c0aae
Description-en: development files for libopencv-core
This package contains the header files and static library needed to compile
applications that use OpenCV (Open Computer Vision) core.
.
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: 2786e704a09e2c351f990aca831c96c6
Multi-Arch: same
Homepage: http://opencv.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Supported: 9m