How to Install and Uninstall urbanlightscape Package on openSuSE Tumbleweed
Last updated: December 26,2024
1. Install "urbanlightscape" package
This guide let you learn how to install urbanlightscape on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
urbanlightscape
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2. Uninstall "urbanlightscape" package
This is a short guide on how to uninstall urbanlightscape on openSuSE Tumbleweed:
$
sudo zypper remove
urbanlightscape
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3. Information about the urbanlightscape package on openSuSE Tumbleweed
Information for package urbanlightscape:
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Repository : openSUSE-Tumbleweed-Oss
Name : urbanlightscape
Version : 1.4.0-3.38
Arch : x86_64
Vendor : openSUSE
Installed Size : 1.4 MiB
Installed : No
Status : not installed
Source package : urbanlightscape-1.4.0-3.38.src
Upstream URL : http://www.indii.org/software/urbanlightscape
Summary : Improve Lighting, Correct Exposure, Add Synthetic Light to Photos
Description :
Urban Lightscape is a photo filter for exposure correction,
localized brightness adjustments, dodging and burning, and the
introduction of synthetic lighting to a photo. A simple
"double-click-and-drag" paradigm is used to place control points on
a photo, and clever edge detection localises and interpolates
lightness adjustments around and between these points. Results are
rapid, with additional controls for more subtle refinements.
----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : urbanlightscape
Version : 1.4.0-3.38
Arch : x86_64
Vendor : openSUSE
Installed Size : 1.4 MiB
Installed : No
Status : not installed
Source package : urbanlightscape-1.4.0-3.38.src
Upstream URL : http://www.indii.org/software/urbanlightscape
Summary : Improve Lighting, Correct Exposure, Add Synthetic Light to Photos
Description :
Urban Lightscape is a photo filter for exposure correction,
localized brightness adjustments, dodging and burning, and the
introduction of synthetic lighting to a photo. A simple
"double-click-and-drag" paradigm is used to place control points on
a photo, and clever edge detection localises and interpolates
lightness adjustments around and between these points. Results are
rapid, with additional controls for more subtle refinements.