SimpleITK Release v2.1rc2
Announcing the SimpleITK 2.1 Release Candidate 2!
Users and developers are encouraged to test the RC before the final release and report issues, bugs, and any compatibility problems.
Installing SimpleITK
Complete instructions on getting started with SimpleITK including downloading binaries or building SimpleITK can be found on the SimpleITK Read the Docs web page.
Python Binary Downloads
Python binary wheels are available for download. It is important to have the latest version of pip for correct wheel compatibility and installation. To install the latest SimpleITK package from GitHub releases:
python -m pip install --upgrade pip
python -m pip install --pre SimpleITK --find-links https://github.com/SimpleITK/SimpleITK/releases/tag/v2.1rc2
Anaconda Binary Downloads
Conda packages are available from Anaconda Cloud on the SimpleITK channel. These can be installed with:
conda install -c simpleitk/label/dev simpleitk
Release Notes
New Features
Add
ImageRegistrationMethod::StopRegistrationmethodAdd
StopRegistrationmethod to Demons based registration filtersUpdate
HistogramMatchingImageFilterto use named “referenceImage” input for second input image.
Bug Fixes
R calls to nonexistent methods are now handled gracefully
In
BinaryMagnitudeImageFiltertest, changed type from UInt32 to Int32 for defined C++ behavior, fixed Mac ARM testing failure.
Documentation
Minor grammar and spelling changes to gettingStarted
Improve documentation for registration sampling strategies
Add example demonstration Java Image buffer interface
Add multiple language examples for ImageIOSelection
Added a Windows build page
Compilation
Fix comparison between signed and unsigned integer compiler warning
Remove explicit instantiating of Image of deque of LabelObjectLine
Update SWIG to 4 require in CMake find_package