How to Install and Uninstall zinnia Package on openSUSE Leap
Last updated: December 26,2024
1. Install "zinnia" package
In this section, we are going to explain the necessary steps to install zinnia on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
zinnia
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2. Uninstall "zinnia" package
Please follow the step by step instructions below to uninstall zinnia on openSUSE Leap:
$
sudo zypper remove
zinnia
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3. Information about the zinnia package on openSUSE Leap
Information for package zinnia:
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Repository : Main Repository
Name : zinnia
Version : 0.07-150400.2.5
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 323.1 KiB
Installed : No
Status : not installed
Source package : zinnia-0.07-150400.2.5.src
Upstream URL : https://taku910.github.io/zinnia
Summary : Online hand recognition system with machine learning
Description :
Zinnia is a simple, customizable and portable online hand recognition system based on Support Vector Machines. Zinnia simply receives user pen strokes as a sequence of coordinate data and outputs n-best characters sorted by SVM confidence. To keep portability, Zinnia doesn\'t have any rendering functionality. In addition to recognition, Zinnia provides training module that allows us to create any hand-written recognition systems with low-cost.
-------------------------------
Repository : Main Repository
Name : zinnia
Version : 0.07-150400.2.5
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 323.1 KiB
Installed : No
Status : not installed
Source package : zinnia-0.07-150400.2.5.src
Upstream URL : https://taku910.github.io/zinnia
Summary : Online hand recognition system with machine learning
Description :
Zinnia is a simple, customizable and portable online hand recognition system based on Support Vector Machines. Zinnia simply receives user pen strokes as a sequence of coordinate data and outputs n-best characters sorted by SVM confidence. To keep portability, Zinnia doesn\'t have any rendering functionality. In addition to recognition, Zinnia provides training module that allows us to create any hand-written recognition systems with low-cost.