How to Install and Uninstall vapoursynth-plugin-eedi3 Package on openSUSE Leap
Last updated: February 24,2025
1. Install "vapoursynth-plugin-eedi3" package
Please follow the step by step instructions below to install vapoursynth-plugin-eedi3 on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
vapoursynth-plugin-eedi3
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2. Uninstall "vapoursynth-plugin-eedi3" package
This guide covers the steps necessary to uninstall vapoursynth-plugin-eedi3 on openSUSE Leap:
$
sudo zypper remove
vapoursynth-plugin-eedi3
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3. Information about the vapoursynth-plugin-eedi3 package on openSUSE Leap
Information for package vapoursynth-plugin-eedi3:
-------------------------------------------------
Repository : Main Repository
Name : vapoursynth-plugin-eedi3
Version : 54-bp155.2.16
Arch : x86_64
Vendor : openSUSE
Installed Size : 21.9 KiB
Installed : No
Status : not installed
Source package : vapoursynth-54-bp155.2.16.src
Upstream URL : http://www.vapoursynth.com/
Summary : EEDI3 plugin for VapourSynth
Description :
eedi3 is a very slow edge directed interpolation filter.
eedi3 works by finding the best non-decreasing (non-crossing) warping
between two lines by minimizing a cost functional. The cost is based
on neighborhood similarity (favor connecting regions that look similar),
the vertical difference created by the interpolated values (favor
small differences), the interpolation directions (favor short connections
vs long), and the change in interpolation direction from pixel to pixel
(favor small changes).
-------------------------------------------------
Repository : Main Repository
Name : vapoursynth-plugin-eedi3
Version : 54-bp155.2.16
Arch : x86_64
Vendor : openSUSE
Installed Size : 21.9 KiB
Installed : No
Status : not installed
Source package : vapoursynth-54-bp155.2.16.src
Upstream URL : http://www.vapoursynth.com/
Summary : EEDI3 plugin for VapourSynth
Description :
eedi3 is a very slow edge directed interpolation filter.
eedi3 works by finding the best non-decreasing (non-crossing) warping
between two lines by minimizing a cost functional. The cost is based
on neighborhood similarity (favor connecting regions that look similar),
the vertical difference created by the interpolated values (favor
small differences), the interpolation directions (favor short connections
vs long), and the change in interpolation direction from pixel to pixel
(favor small changes).