How to Install and Uninstall python311-colorspacious Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "python311-colorspacious" package
Please follow the guidelines below to install python311-colorspacious on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-colorspacious
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2. Uninstall "python311-colorspacious" package
Please follow the steps below to uninstall python311-colorspacious on openSuSE Tumbleweed:
$
sudo zypper remove
python311-colorspacious
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3. Information about the python311-colorspacious package on openSuSE Tumbleweed
Information for package python311-colorspacious:
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Repository : openSUSE-Tumbleweed-Oss
Name : python311-colorspacious
Version : 1.1.2-2.11
Arch : noarch
Vendor : openSUSE
Installed Size : 324.0 KiB
Installed : No
Status : not installed
Source package : python-colorspacious-1.1.2-2.11.src
Upstream URL : https://github.com/njsmith/colorspacious
Summary : Python library for doing colorspace conversions
Description :
Colorspacious is a library for performing colorspace conversions.
In addition to the most common standard colorspaces (sRGB, XYZ, xyY,
CIELab, CIELCh), it also includes color vision deficiency ("color
blindness") simulations using the approach of Machado et al (2009), a
complete implementation of CIECAM02
, and the perceptually
uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
(2006).
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-colorspacious
Version : 1.1.2-2.11
Arch : noarch
Vendor : openSUSE
Installed Size : 324.0 KiB
Installed : No
Status : not installed
Source package : python-colorspacious-1.1.2-2.11.src
Upstream URL : https://github.com/njsmith/colorspacious
Summary : Python library for doing colorspace conversions
Description :
Colorspacious is a library for performing colorspace conversions.
In addition to the most common standard colorspaces (sRGB, XYZ, xyY,
CIELab, CIELCh), it also includes color vision deficiency ("color
blindness") simulations using the approach of Machado et al (2009), a
complete implementation of CIECAM02
uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
(2006).