How to Install and Uninstall klt.i686 Package on Fedora 39
Last updated: November 27,2024
1. Install "klt.i686" package
This guide let you learn how to install klt.i686 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
klt.i686
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2. Uninstall "klt.i686" package
Please follow the guidance below to uninstall klt.i686 on Fedora 39:
$
sudo dnf remove
klt.i686
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$
sudo dnf autoremove
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3. Information about the klt.i686 package on Fedora 39
Last metadata expiration check: 3:56:02 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : klt
Version : 1.3.4
Release : 28.fc39
Architecture : i686
Size : 41 k
Source : klt-1.3.4-28.fc39.src.rpm
Repository : fedora
Summary : An implementation of the Kanade-Lucas-Tomasi feature tracker
URL : http://www.ces.clemson.edu/~stb/klt/index.html
License : Public Domain
Description :
: KLT is an implementation, in the C programming language, of a
: feature tracker for the computer vision community. The source
: code is in the public domain, available for both commercial and
: non-commercial use.
:
: The tracker is based on the early work of Lucas and Kanade,
: was developed fully by Tomasi and Kanade, and was explained clearly
: in the paper by Shi and Tomasi. Later, Tomasi proposed a slight
: modification which makes the computation symmetric with respect
: to the two images -- the resulting equation is derived in the
: unpublished note by myself. Briefly, good features are located
: by examining the minimum eigenvalue of each 2 by 2 gradient
: matrix, and features are tracked using a Newton-Raphson method of
: minimizing the difference between the two windows. Multi-resolution
: tracking allows for relatively large displacements between images.
: The affine computation that evaluates the consistency of features
: between non-consecutive frames was implemented by Thorsten
: Thormaehlen several years after the original code and documentation
: were written.
Available Packages
Name : klt
Version : 1.3.4
Release : 28.fc39
Architecture : i686
Size : 41 k
Source : klt-1.3.4-28.fc39.src.rpm
Repository : fedora
Summary : An implementation of the Kanade-Lucas-Tomasi feature tracker
URL : http://www.ces.clemson.edu/~stb/klt/index.html
License : Public Domain
Description :
: KLT is an implementation, in the C programming language, of a
: feature tracker for the computer vision community. The source
: code is in the public domain, available for both commercial and
: non-commercial use.
:
: The tracker is based on the early work of Lucas and Kanade,
: was developed fully by Tomasi and Kanade, and was explained clearly
: in the paper by Shi and Tomasi. Later, Tomasi proposed a slight
: modification which makes the computation symmetric with respect
: to the two images -- the resulting equation is derived in the
: unpublished note by myself. Briefly, good features are located
: by examining the minimum eigenvalue of each 2 by 2 gradient
: matrix, and features are tracked using a Newton-Raphson method of
: minimizing the difference between the two windows. Multi-resolution
: tracking allows for relatively large displacements between images.
: The affine computation that evaluates the consistency of features
: between non-consecutive frames was implemented by Thorsten
: Thormaehlen several years after the original code and documentation
: were written.