How to Install and Uninstall libopencv-dnn4.5d Package on Kali Linux

Last updated: December 23,2024

Deprecated! Installation of this package may no longer be supported.

1. Install "libopencv-dnn4.5d" package

Learn how to install libopencv-dnn4.5d on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libopencv-dnn4.5d
            
                    
    
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2. Uninstall "libopencv-dnn4.5d" package

Here is a brief guide to show you how to uninstall libopencv-dnn4.5d on Kali Linux:


    
        
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                sudo apt remove
            
                        
                libopencv-dnn4.5d
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libopencv-dnn4.5d package on Kali Linux

Package: libopencv-dnn4.5d
Source: opencv (4.5.4+dfsg-9)
Version: 4.5.4+dfsg-9+b5
Installed-Size: 3786
Maintainer: Debian Science Team
Architecture: amd64
Depends: libc6 (>= 2.33), libgcc-s1 (>= 3.0), libopencv-core4.5d (>= 4.5.4+dfsg), libopencv-imgproc4.5d (>= 4.5.4+dfsg), libprotobuf23 (>= 3.12.4), libstdc++6 (>= 11)
Breaks: libcv-bridge-dev (<< 1.15.0+ds-3), libdepth-image-proc-dev (<< 1.15.2-4), libimage-geometry-dev (<< 1.15.0+ds-3), libimage-proc-dev (<< 1.15.2-4), libstereo-image-proc-dev (<< 1.15.2-4)
Size: 1063328
SHA256: c7405224f42be832ca117a88f6aec9cf6c92074a54d8032baba59f6cc922bb97
SHA1: 76477c4cf64e195db078d429b3bf9111a4a3d1b8
MD5sum: 3f431eb2bbfd594a79a9f8799c9488dd
Description: computer vision Deep neural network module
This package contains the OpenCV (Open Computer Vision) 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: 72ced12aa6915ca1fd2c25f0f814929c
Multi-Arch: same
Homepage: https://opencv.org
Section: libs
Priority: optional
Filename: pool/main/o/opencv/libopencv-dnn4.5d_4.5.4+dfsg-9+b5_amd64.deb