Simpleitk

Latest version: v2.3.1

Safety actively analyzes 629359 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 5 of 8

2.0rc1

Announcement


Announcing the SimpleITK 2.0 Release Candidate 1!

_NOTE:_ SimpleITK neither supports Python 2.7 nor provides 32-bit binaries as of version 2.0.

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](https://simpleitk.readthedocs.io/en/master/installation.html).

Python Binary Downloads

- Including Python 3.8 support!
- 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/v2.0rc1

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

* Update ITK version to 5.1rc2.
* Disable ITK 4 legacy behaviors.
* For ImageViewer add user's Application folder to search path.
* Add `SignedDanielssonDistanceMapImageFilter::GetVoronoiMap` method.
* Add wrapping for `CannySegmentationLevelSetImageFilter`.
* Update levelset segmentation filters to support named inputs.
* Add 4D support to`SliceImageFilter` and to the Python slice indexing.
* Add complex pixel support to `Image::GetBufferAs...` methods.
* Add Python support for complex pixels to `GetArrayFromImage`, `GetImageFromArray` and `GetArrayViewFromImage` methods.
* Add wrapping for `BinaryPruningImageFilter`.
* Add per label measurements to `LabelOverlapMeasuresImageFilter`.
* Add Python deepcopy support to `Image` class, this ensure the copy is unique with lazy copying implementation.
* Add Python pickling support for `Image` and `Transform` classes.
* `ResampleImageFilter` add option to use nearest neighbor extrapolation.
* Add `ReturnBinMidPoint` parameter to `OtsuThresholdImageFilter`. Defaults to false which may change results.
* Add `ImageFileWriter` and `ImageSeriesWriter` support to specify compression level and compression algorithm.
* `BSplineTransform` Python support construction and `SetCoefficientImage` with list-like series of Images.
* `MeanImageFilter` directly filters vector images, improving performance.
* Add C constant image buffer access methods of the form `GetConstBufferAs...`.
* Add to `LabelShapeStatisticsImageFilter` per label method `GetIndexes` and `GetRLEIndexes`.


Bug Fixes

* Update `StatisticsImageFilter` input convention for ITKv5.
* Remove `WarpImageFilter` matching image size requirement.
* The results of the `LiThresholdImageFilter` changes with ITK, baseline test results were updated. ( See ITK commit e3ce37 for details. )
* Add additional baseline images for registration results, due to change in ImageRegistration's smoothing algorithm. ( See ITK commit 569a47 for details. )
* Correct `LabelShapeStatistics` baseline for `OrientedBoundingBoxVertices` results. ( See ITK commit 50c695 for details. )
* Fix potential double memory free of pixel container in results from internal image to vector image conversions.
* Fix `RelabelComponentImageFilter` incorrect object size computation with sorting enabled. ( See ITK commit 162101 for details. )
* Fix potential ITK pipeline execution error when a filter execute on a vector image by per component.
* Add C++11 move semantics support to the Image class.
* Add direct support for C++11 lambda command to the `ProcessObject` class.
* Add `GetBufferAsVoid` method to the Image class.
* Add `Decay` parameter to the `MirrorPadImageFilter`.


Documentation

* Update copyright to NumFOCUS.
* Add casting to N4BiasFieldCorrection example.
* Typo fixes.
* Create Docker images for generating Doxygen.
* Add C `ConnectedThresholdSegmentation` example.
* Remove references to next branch in documentation.
* Update R installation instructions.
* Add C `ImageReistrationMethod2` example.
* Add multi-lingual examples for `FastMarchingSegmentationImageFilter`.
* Uset stopping time parameter in `FastMarchingSegmentation` examples.
* Add C `CannySegmentationLevelSetImageFilter` example.
* Improve documentation to `GetImageFromArray` about `isVector` parameter.
* Update referenced tutorials.
* Add acknowledgment section to readme.
* Update Java and CSharp installation instructions.
* Move Doxygen pages to Sphinx documents, remove other out dated pages.
* Move Sphinx documentation to docs directory.


Compilation

* Require C++11 standard for compilation.
* Replace C++ tr1 usage with standard C++11 classes.
* Replace compiler depended defines with C+11 keywords.
* Prefer using C++11 lambda over `std::bind` when `std::placeholders` are not needed.
* Improve support on OSX for isysroot flag and `CMAKE_OSX_SYSROOT` variable.
* Support additional `CMAKE_GENERATOR_*`, `CMAKE_VS_PLATFORM_TOOLSET_*` variables is superbuild.
* Added AWS S3 buckets for data mirroring.
* Use SHA512 hash files as index for downloaded source code.
* Use CMake for creating zip archives.
* Improve finding of Lua interpreter.
* Update Lua superbuild version to 5.3.5, require Lua version 5.2 or 5.3 for code generation.
* Update PCRE superbuild version to 8.43.
* Add `USE_CCACHE` cmake option to automatically use ccache as launcher if available.
* Enable GNU gold linker by default if available.
* Update GTest vesrion to 1.10.0 in superbuild.
* Fix incorrect version of virtualenv detected.


Miscellaneous

* Continuing updates and improvements to the testing, build and packaging infrastructure.
* Add tolerance for testing BSpline domains.
* Update setup for development scripts to support github workflows.
* Add Insight Software Consortium Code of Conduct.
* Archive SHA512 in distributed data archive.
* Disable ITK's automatic advanced architecture compilation settings in packaging builds.

1.13.0

1.2.4

Announcement

Announcing the SimpleITK 1.2.4 patch release!

**_NOTE:_** This will be the last SimpleITK release with Python 2.7 support or pre-built 32-bit binaries.

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](http://simpleitk.readthedocs.io/en/release/Documentation/docs/source/installation.html).

- Python Binary Downloads

- Now including Python 3.8 support!
- 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 PyPI:

python -m pip install --upgrade pip
python -m pip install SimpleITK


- Conda packages are available from Anaconda Cloud on the `SimpleITK` channel. These can be installed with:

conda install -c simpleitk simpleitk


- A complete set of compiled binaries, including CSharp and Java distributions for Windows, along with source and data archives are available on [Github release pages](https://github.com/SimpleITK/SimpleITK/releases/tag/v1.2.4).


Release Notes

- Bug Fixes
- Addresses reported DICOM buffer overflows
- Reduces MTime modification when using N4BiasFieldCorrection to prevent integer overflow on Windows

- Updates
- Uses latest Insight Toolkit (ITK) on release-v4.13 branch. Includes updating GDCM along release-2-8 branch for bug fixes.

1.2.3

Announcement

Announcing the SimpleITK 1.2.3 patch release!


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](http://simpleitk.readthedocs.io/en/release/Documentation/docs/source/installation.html).

- 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 PyPI:

python -m pip install --upgrade pip
python -m pip install SimpleITK


- Conda packages are available from Anaconda Cloud on the `SimpleITK` channel. These can be installed with:

conda install -c simpleitk simpleitk


- A complete set of compiled binaries, including CSharp and Java distributions for Windows, along with source and data archives are available on [Github release pages](https://github.com/SimpleITK/SimpleITK/releases/tag/v1.2.3).


Release Notes

- Bug Fixes
- Fixes resulting image size with image slicing with stride. The images resulting form the `SliceImageFilter` and Python sliced indexing with strides may not be larger and match the size of NumPy.

- Updates
- Uses latest Insight Toolkit (ITK) on release-v4.13 branch.

1.2.2

Announcement

Announcing the SimpleITK 1.2.2 patch release!

Many improvements have occurred to automate SimpleITK's continuous integration and packaging to enable more frequent releases, patches and updates.


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](http://simpleitk.readthedocs.io/en/release/Documentation/docs/source/installation.html).

- 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 form PyPI:

python -m pip install --upgrade pip
python -m pip install SimpleITK


- Conda packages are available from Anaconda Cloud on the `SimpleITK` channel. These can be installed with:

conda install -c simpleitk simpleitk

- Note: As of this announcement Conda packages version 1.2.2 for MacOS are missing until a configuration issue is resolved with Conda-build.

- A complete set of compiled binaries, including CSharp and Java distributions for windows, along with source and data archives are available on [Github release pages](https://github.com/SimpleITK/SimpleITK/releases/tag/v1.2.2).


Release Notes

- Bug Fixes
- Fix `sitk::Show` stalling on Windows 661
- Fix `ImageFileReader::GetDirection` return the direction cosine matrix in wrong order 691

- Updates
- Uses Insight Toolkit (ITK) version 4.13.2
- Improved compatibility when built against ITK v5.0
- Documentation fixes and improvements

- Note: SimpleITK v1.2.1 was tagged but due to a versioning issue it was not packaged.

1.2.0

Announcement

We are pleased to announce the SimpleITK 1.2 Release!


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 (http://simpleitk.readthedocs.io/en/release/Documentation/docs/source/installation.html).

- 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 form PyPI:

python -m pip install --upgrade pip
python -m pip install SimpleITK


- Conda packages are available from Anaconda Cloud on the `SimpleITK` channel. These can be installed with:

conda install -c simpleitk simpleitk


- A complete available set of compiled binaries, including select CSharp and Java distributions, along with source and data tar-balls are available on Source Forge (https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.2.0/).

Release Notes

- Improvements
- New look for ReadTheDocs, along with more examples and documentation. (http://simpleitk.readthedocs.io/en/master/)
- Support for stream reading regions from files. The `ImageFileReader` adds the option to specify an image region to extract while reading from disk. (https://simpleitk.readthedocs.io/en/master/Examples/AdvancedImageReading/Documentation.html)
- Option to specify the ITK `ImageIO` used in the `ImageFileReader class` or `ReadImage` procedure. (https://simpleitk.readthedocs.io/en/master/Examples/ImageIOSelection/Documentation.html)
- Multi-resolution BSpline registration by adapting the `BSplineTransform` resolution in the `ImageRegistrationMethod`. (https://simpleitk.readthedocs.io/en/master/Examples/ImageRegistrationMethodBSpline3/Documentation.html)
- Added `BSplineDecompositionImageFilter` , and new `BSplineTransform` initialization from coefficient images.
- Added `ImageRegistrationMethod` method `GetMetricSamplingPercentage` to get the number of samples used after each iteration.
- Wrapping of the SLICImageFilter ( http://hdl.handle.net/10380/3596 ).
- New `ImageViewer` class to support state-full parameters while providing the behavior supported by the `Show` procedure.
- Added support for multi-component images to `ClampImageFilter`, `MeanProjectionImageFilter`, `SumProjectionImageFilter`, and the `TileImageFilter`.
- Improvements to the R interface and packaging.
- Fix 4D Image support in the Python `GetArrayFromImage` and `GetArrayViewFromImage` procedures.
- Added Transform `FlattenTransform` method, to combine nested composite transforms.
- ITKv5 compatibility enables SimpleITK to be compiled against ITKv5 betas.
- The default and binaries are built against the proven ITK 4.13.1 release branch. Comprehensive SimpleITK testing has lead to improvements in upstream ITK. (https://github.com/InsightSoftwareConsortium/ITK/releases/tag/v4.13.1)
- Miscellaneous build and documentation fixes.

Page 5 of 8

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.