How to Install and Uninstall zinnia.x86_64 Package on Fedora 36
Last updated: November 19,2024
1. Install "zinnia.x86_64" package
This is a short guide on how to install zinnia.x86_64 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
zinnia.x86_64
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2. Uninstall "zinnia.x86_64" package
Please follow the guidelines below to uninstall zinnia.x86_64 on Fedora 36:
$
sudo dnf remove
zinnia.x86_64
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$
sudo dnf autoremove
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3. Information about the zinnia.x86_64 package on Fedora 36
Last metadata expiration check: 0:34:46 ago on Thu Sep 8 14:04:51 2022.
Available Packages
Name : zinnia
Version : 0.06
Release : 57.fc36
Architecture : x86_64
Size : 62 k
Source : zinnia-0.06-57.fc36.src.rpm
Repository : fedora
Summary : Online handwriting recognition system with machine learning
URL : http://zinnia.sourceforge.net/
License : BSD
Description : Zinnia provides a simple, customizable, and portable dynamic OCR
: system for hand-written input, based on Support Vector Machines.
:
: Zinnia simply receives user pen strokes as coordinate data and outputs
: the best matching characters sorted by SVM confidence. To maintain
: portability, it has no rendering functionality. In addition to
: recognition, Zinnia provides a training module capable of creating
: highly efficient handwriting recognition models.
:
: This package contains the shared libraries.
Available Packages
Name : zinnia
Version : 0.06
Release : 57.fc36
Architecture : x86_64
Size : 62 k
Source : zinnia-0.06-57.fc36.src.rpm
Repository : fedora
Summary : Online handwriting recognition system with machine learning
URL : http://zinnia.sourceforge.net/
License : BSD
Description : Zinnia provides a simple, customizable, and portable dynamic OCR
: system for hand-written input, based on Support Vector Machines.
:
: Zinnia simply receives user pen strokes as coordinate data and outputs
: the best matching characters sorted by SVM confidence. To maintain
: portability, it has no rendering functionality. In addition to
: recognition, Zinnia provides a training module capable of creating
: highly efficient handwriting recognition models.
:
: This package contains the shared libraries.