How to Install and Uninstall teem-examples.noarch Package on Fedora 35
Last updated: November 27,2024
1. Install "teem-examples.noarch" package
This is a short guide on how to install teem-examples.noarch on Fedora 35
$
sudo dnf update
Copied
$
sudo dnf install
teem-examples.noarch
Copied
2. Uninstall "teem-examples.noarch" package
This tutorial shows how to uninstall teem-examples.noarch on Fedora 35:
$
sudo dnf remove
teem-examples.noarch
Copied
$
sudo dnf autoremove
Copied
3. Information about the teem-examples.noarch package on Fedora 35
Last metadata expiration check: 0:13:23 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : teem-examples
Version : 1.11.0
Release : 52.fc35
Architecture : noarch
Size : 22 k
Source : teem-1.11.0-52.fc35.src.rpm
Repository : fedora
Summary : Examples for developing with for teem
URL : http://teem.sourceforge.net
License : LGPLv2+ and zlib and BSD
Description : What Is Teem?
:
: Teem is a coordinated group of libraries for representing, processing, and
: visualizing scientific raster data. Teem includes command-line tools that
: permit the library functions to be quickly applied to files and streams,
: without having to write any code. The most important and useful libraries in
: Teem are:
:
: • Nrrd (and the unu command-line tool on top of it) supports a range of
: operations for transforming N-dimensional raster data (resample, crop,
: slice, project, histogram, etc.), as well as the NRRD file format for
: storing arrays and their meta-information.
: • Gage: fast convolution-based measurements at arbitrary point locations in
: volume datasets (scalar, vector, tensor, etc.)
: • Mite: a multi-threaded ray-casting volume render with transfer functions
: based on any quantity Gage can measure
: • Ten: for estimating, processing, and visualizing diffusion tensor fields,
: including fiber tractography methods.
:
: Strengths of Teem
:
: • Teem works: Its purpose is to enable research in visualization and image
: processing, and research is enabled when simple things are simple to do.
: Teem’s functionality and its ease of use have allowed it to become a
: component of larger research software projects, such as SCIRun and 3D
: Slicer.
: • Teem is light-weight: The libraries are written with an eye towards
: minimizing the annoyance of getting data in an out, by using the simplest
: possible constructs for the job, and by supporting combinations of
: operations that arise in common practice.
: • Teem is coherent: There is a consistent logic to how information is
: represented, and uniformity in the APIs across libraries.
: • Teem is portable: All the code is written in plain ANSI C, so it compiles
: everywhere, including Windows, using either CMake or GNU Make. A Dashboard
: is used to monitor compiler errors and warnings.
: • Teem is growing: Some Teem libraries were created years ago and have
: remained stable, but new libraries and new functionality are continually
: being added.
: • Teem is open source: Anyone can use it, and contributions are welcome. Teem
: is licensed under the GNU Lesser General Public License, plus exceptions
: which facilitate linking Teem into binary-only applications.
:
: The teem-examples package contains examples for developing applications that
: use Teem.
Available Packages
Name : teem-examples
Version : 1.11.0
Release : 52.fc35
Architecture : noarch
Size : 22 k
Source : teem-1.11.0-52.fc35.src.rpm
Repository : fedora
Summary : Examples for developing with for teem
URL : http://teem.sourceforge.net
License : LGPLv2+ and zlib and BSD
Description : What Is Teem?
:
: Teem is a coordinated group of libraries for representing, processing, and
: visualizing scientific raster data. Teem includes command-line tools that
: permit the library functions to be quickly applied to files and streams,
: without having to write any code. The most important and useful libraries in
: Teem are:
:
: • Nrrd (and the unu command-line tool on top of it) supports a range of
: operations for transforming N-dimensional raster data (resample, crop,
: slice, project, histogram, etc.), as well as the NRRD file format for
: storing arrays and their meta-information.
: • Gage: fast convolution-based measurements at arbitrary point locations in
: volume datasets (scalar, vector, tensor, etc.)
: • Mite: a multi-threaded ray-casting volume render with transfer functions
: based on any quantity Gage can measure
: • Ten: for estimating, processing, and visualizing diffusion tensor fields,
: including fiber tractography methods.
:
: Strengths of Teem
:
: • Teem works: Its purpose is to enable research in visualization and image
: processing, and research is enabled when simple things are simple to do.
: Teem’s functionality and its ease of use have allowed it to become a
: component of larger research software projects, such as SCIRun and 3D
: Slicer.
: • Teem is light-weight: The libraries are written with an eye towards
: minimizing the annoyance of getting data in an out, by using the simplest
: possible constructs for the job, and by supporting combinations of
: operations that arise in common practice.
: • Teem is coherent: There is a consistent logic to how information is
: represented, and uniformity in the APIs across libraries.
: • Teem is portable: All the code is written in plain ANSI C, so it compiles
: everywhere, including Windows, using either CMake or GNU Make. A Dashboard
: is used to monitor compiler errors and warnings.
: • Teem is growing: Some Teem libraries were created years ago and have
: remained stable, but new libraries and new functionality are continually
: being added.
: • Teem is open source: Anyone can use it, and contributions are welcome. Teem
: is licensed under the GNU Lesser General Public License, plus exceptions
: which facilitate linking Teem into binary-only applications.
:
: The teem-examples package contains examples for developing applications that
: use Teem.