How to Install and Uninstall openexr-libs.i686 Package on Rocky Linux 9
Last updated: November 14,2024
1. Install "openexr-libs.i686" package
Please follow the steps below to install openexr-libs.i686 on Rocky Linux 9
$
sudo dnf update
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$
sudo dnf install
openexr-libs.i686
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2. Uninstall "openexr-libs.i686" package
In this section, we are going to explain the necessary steps to uninstall openexr-libs.i686 on Rocky Linux 9:
$
sudo dnf remove
openexr-libs.i686
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$
sudo dnf autoremove
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3. Information about the openexr-libs.i686 package on Rocky Linux 9
Last metadata expiration check: 0:11:32 ago on Fri Feb 16 06:49:52 2024.
Available Packages
Name : openexr-libs
Version : 3.1.1
Release : 2.el9
Architecture : i686
Size : 1.1 M
Source : openexr-3.1.1-2.el9.src.rpm
Repository : appstream
Summary : OpenEXR Libraries
URL : https://www.openexr.com/
License : BSD
Description : OpenEXR is an open-source high-dynamic-range floating-point image file format
: for high-quality image processing and storage. This document presents a brief
: overview of OpenEXR and explains concepts that are specific to this format.
:
: OpenEXR Features:
:
: * High dynamic range and color precision. Support for 16-bit floating-point,
: * 32-bit floating-point, and 32-bit integer pixels.
: * Multiple image compression algorithms, both lossless and lossy. Some of
: the included codecs can achieve 2:1 lossless compression ratios on images
: with film grain. The lossy codecs have been tuned for visual quality and
: decoding performance.
: * Extensibility. New compression codecs and image types can easily be added
: by extending the C++ classes included in the OpenEXR software distribution.
: New image attributes (strings, vectors, integers, etc.) can be added to
: OpenEXR image headers without affecting backward compatibility with existing
: OpenEXR applications.
: * Support for stereoscopic image workflows and a generalization
: to multi-views.
: * Flexible support for deep data: pixels can store a variable-length list
: of samples and, thus, it is possible to store multiple values at different
: depths for each pixel. Hard surfaces and volumetric data representations are
: accommodated.
: * Multipart: ability to encode separate, but related, images in one file.
: This allows for access to individual parts without the need to read other
: parts in the file.
: * Versioning: OpenEXR source allows for user configurable C++
: namespaces to provide protection when using multiple versions of the library
: in the same process space.
:
: The IlmBase Library:
:
: Also a part of OpenEXR, the IlmBase library is a basic, light-weight, and
: efficient representation of 2D and 3D vectors and matrices and other simple but
: useful mathematical objects, functions, and data types common in computer
: graphics applications, including the “half” 16-bit floating-point type.
Available Packages
Name : openexr-libs
Version : 3.1.1
Release : 2.el9
Architecture : i686
Size : 1.1 M
Source : openexr-3.1.1-2.el9.src.rpm
Repository : appstream
Summary : OpenEXR Libraries
URL : https://www.openexr.com/
License : BSD
Description : OpenEXR is an open-source high-dynamic-range floating-point image file format
: for high-quality image processing and storage. This document presents a brief
: overview of OpenEXR and explains concepts that are specific to this format.
:
: OpenEXR Features:
:
: * High dynamic range and color precision. Support for 16-bit floating-point,
: * 32-bit floating-point, and 32-bit integer pixels.
: * Multiple image compression algorithms, both lossless and lossy. Some of
: the included codecs can achieve 2:1 lossless compression ratios on images
: with film grain. The lossy codecs have been tuned for visual quality and
: decoding performance.
: * Extensibility. New compression codecs and image types can easily be added
: by extending the C++ classes included in the OpenEXR software distribution.
: New image attributes (strings, vectors, integers, etc.) can be added to
: OpenEXR image headers without affecting backward compatibility with existing
: OpenEXR applications.
: * Support for stereoscopic image workflows and a generalization
: to multi-views.
: * Flexible support for deep data: pixels can store a variable-length list
: of samples and, thus, it is possible to store multiple values at different
: depths for each pixel. Hard surfaces and volumetric data representations are
: accommodated.
: * Multipart: ability to encode separate, but related, images in one file.
: This allows for access to individual parts without the need to read other
: parts in the file.
: * Versioning: OpenEXR source allows for user configurable C++
: namespaces to provide protection when using multiple versions of the library
: in the same process space.
:
: The IlmBase Library:
:
: Also a part of OpenEXR, the IlmBase library is a basic, light-weight, and
: efficient representation of 2D and 3D vectors and matrices and other simple but
: useful mathematical objects, functions, and data types common in computer
: graphics applications, including the “half” 16-bit floating-point type.