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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.

1.2rc1

Announcement

We are pleased to announce SimpleITK 1.2 Release candidate 1.

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 a 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.


Python Binary Downloads

- Many binary Python wheels are available for download and testing. It is important to have the latest pip version to ensure correct wheel compatibility. To install the SimpleITK package:

pip install --upgrade pip
pip install --pre -f https://github.com/SimpleITK/SimpleITK/releases/tag/v1.2rc1 SimpleITK

1.1.0

Announcement

We are pleased to announce the SimpleITK 1.1 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


- Many Conda packages have been upload to 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/1.1.0/).

Release Notes

Improvements:
- Enabled 4D Images for IO, ExtractImageFilter, and output of JoinSeriesImageFilter.
- Enabled MINC IO by default.
- New Filters: `ObjectnessMeasuresImageFiler` (Frangi's vesselness), `IterativeInverseDisplacementFieldImageFilter`, `UnsharpMaskImageFilter`, and `RoundImageFilter`.
- Added LBFGS2 optimizer to ImageRegistrationMethod.
- Improved Show search path for FIJI now includes home directories.
- Improved ITK Modular awareness, including ImageIOs.
- Superbuild update PCRE 8.40, SWIG 3.0.12, ITK 4.13.
- Many bug fixes and a couple segmentation fault issues addressed.
- The build system is better and more robust then ever! Many new improvements and features!
- Migrating examples, miscellaneous documentation and Wiki to Read the Docs: http://simpleitk.readthedocs.io/en/master/
- Improved reading and writing of 64-bit integer images across platforms (except python 2.7 on Windows).
- Added optional wrapping of the `CoherenceEnahancingDiffusionImageFilter` (not enabled in binary distributions).
- Added and improved examples related to DICOM reading, writing and manipulating the meta-data dictionary.

API Changes:
- Added `ImageFileReader::ReadImageInformation`.
- This adds support to read meta-data from any supported image file format with any dimension without reading the bulk pixel data.
- Added `ImageReaderBase::GetRegisteredImageIOs` method to obtain list of loaded ITK ImageIO modules.
- Added `Version::ITKModulesEnabled` method to obtain a list of ITK enabled modules when SimpleITK was built.
- Added `BinaryImageToLabelMap::GetNumberOfObjects`.
- Added optional MaskImage input to `ConnectedComponentImageFilter`.
- Added `SignedMaurerDistanceMapImageFilter::BackgroundValue` paramater.
- `WarpImageFilter` now uses named inputs.
- Convolution filters use named inputs.
- Added optional OrientedBoundingBox to `LabelShapeStatisticsImageFilter`.
- Added missing features to `RelabelComponentImageFilter` including `SortByObjectSize` parameter and `NumberOfObjects`, `SizeOfObjectsInPhysicalUnits` measurements.
- Added `LabelStatisticsImageFilter::GetRegion`.
- Added MetaDataDictionaries to the `ImageSeriesReader`.

Compatibility:
- `DiscreteGaussianImageFilter`, `SmoothingRecursiveGaussianImageFilter` now optionally take a vector argument for variance and sigma respectfully.
- In Python the procedural methods, `DiscreteGaussian` and `SmoothingRecursiveGaussian` may not work with named arguments due to limitation with SWIG and overloaded functions.
- `N4BiasFiledCorrectionImageFilter` now only takes uint8 pixel types for mask image input.

[SimpleITK-1.1.0-cp27-cp27m-macosx_10_6_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp27-cp27m-macosx_10_6_x86_64.whl#sha512=835b64f1a2e6204a96fe0737828f3df93c3d7167cb233b3e7e8dda5a8d07d604130171522b66585a326db592ea8f36dcc58f3a960cfe6a19020f79eae97b55a8)
[SimpleITK-1.1.0-cp27-cp27m-manylinux1_i686.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp27-cp27m-manylinux1_i686.whl#sha512=3313bd57ee12cc25b3ab9671ef95f682448bd0dbc5bf956770c87588ffbcd620453f4ae0d9a41f7354057d6667a992be946d08ae2f78840c87284d4582d9d2c1)
[SimpleITK-1.1.0-cp27-cp27m-manylinux1_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp27-cp27m-manylinux1_x86_64.whl#sha512=a82d99629ca1eb4e813ff4813ad6287e1dbb2151cfa9da78ba934d1d5fdc5819f9a6159621f7b189171322e601d817082b3b9588310744a79e984c1c7fdba952)
[SimpleITK-1.1.0-cp27-cp27mu-manylinux1_i686.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp27-cp27mu-manylinux1_i686.whl#sha512=d0ca574f653eb1ad6f6f956aae8602ec96def680b5e459c8297283c786a30d111476d86e37e7811dece0c1f235ec650e81270d3b739f9c748b682b783a1643de)
[SimpleITK-1.1.0-cp27-cp27mu-manylinux1_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp27-cp27mu-manylinux1_x86_64.whl#sha512=6c30f11727b1d475998dfc3106ce9a8716fa07d309150ebafbddc6fec0e9ad08b769b076243a0309a7528b105d8729d441b396203cfe7b2bb131bcfca038c376)
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[SimpleITK-1.1.0-cp27-cp27m-win_amd64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp27-cp27m-win_amd64.whl#sha512=e371b7a652bc33df8fb8dd301045bb3e50587297d383761c8b083792ed1af48dd0a85f61d32c9a4958c55edfdb317a5869debfd3aefec8fb5f42efa5956d1d8a)
[SimpleITK-1.1.0-cp34-cp34m-macosx_10_6_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp34-cp34m-macosx_10_6_x86_64.whl#sha512=17ff7fce15be64e991941e58b8baa15f68f8dfeb231dcd8f219cfc64f37e1d56e123020ccd01e4092ce9b928fafad352674f1ff40f2f39d977379cc855f48a55)
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[SimpleITK-1.1.0-cp35-cp35m-macosx_10_6_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp35-cp35m-macosx_10_6_x86_64.whl#sha512=e468b1f8993b68d6d1b1d8f4dc3b1ca766291a7f254040e432d21c22e04bed2fadd57038c52dae604eebfe3ac2b877f745ba347ee574d132ac0556495dd2ccd3)
[SimpleITK-1.1.0-cp35-cp35m-manylinux1_i686.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp35-cp35m-manylinux1_i686.whl#sha512=6684ccfc99126e53aaadc82d35f5bd118b403f6ea4be7245f4237da976c48feb5bb8650322aa2a66913a9ed73a22a11f16dc0a57d51455e4cb3f463ae565b22e)
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[SimpleITK-1.1.0-cp37-cp37m-win32.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp37-cp37m-win32.whl#sha512=bef1594b8dd76b62d37dd7026847f0cec6802b1a66107f26c8693c58330080311947e610a8796a91ae199a9cdfa900a17a4394dbca33e470088d3539926211bd)
[SimpleITK-1.1.0-cp37-cp37m-win_amd64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1.0/Python/SimpleITK-1.1.0-cp37-cp37m-win_amd64.whl#sha512=1ccffd2f14b3fafbc931789f042481b6d198028b138f26f39694c0fb008fc749862755f27c7081355f3a0f48e8cdc6a59926c9f66dc1e605c7d77e398d53aa3d)

1.1rc2

Announcement

We are pleased to announce SimpleITK 1.1 Release candidate 2.

Release Notes

Please see the [1.1rc1 release notes](https://github.com/SimpleITK/SimpleITK/releases/tag/v1.0.1) for additional information since the 1.0.1 release.

- Improvements
- Fixes and testing for image file reading and writing of 64-bit integer images across platforms.
- Added ImageReaderBase::GetRegisteredImageIOs method to obtain list of loaded ITK ImageIO modules.
- Added sitk::Version::ITKModulesEnabled method to obtain a list of ITK enabled modules when SimpleITK was built.
- Added optional wrapping of the CoherenceEnahancingDiffusionImage filter ( this will not be enabled in binary distributions ).
- Miscellaneous build and documentation fixes.

Python Binary Downloads

- Many binary Python wheels are available for download and testing. It is important to have the latest pip version to ensure correct wheel compatibility. To install the SimpleITK package:

pip install --upgrade pip
pip install --pre -f https://github.com/SimpleITK/SimpleITK/releases/tag/v1.1rc2 SimpleITK


Anaconda Binaries
- Many Conda packages for this release candidate have been upload to Anaconda Cloud on the SimpleITK channel with the `dev` label. These can be installed with:

conda install -c simpleitk/label/dev simpleitk


[SimpleITK-1.1.0rc2-cp27-cp27m-macosx_10_6_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp27-cp27m-macosx_10_6_x86_64.whl#sha512=7b91ee1b8f9819b02a4d6521773144e1a29e956918a065017351ce30a6645f505bef9117b7a5731a74f08cb428f2411d417ed3ee117447d9a21acaa205bee74b)
[SimpleITK-1.1.0rc2-cp27-cp27m-manylinux1_i686.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp27-cp27m-manylinux1_i686.whl#sha512=40876a985700e34c87364f229d2cc5da295228d00752ce12f284f759353993d3fa28dca6d6567c918b55d48c5df226e79101ff707e7339e393565f715044f35a)
[SimpleITK-1.1.0rc2-cp27-cp27m-manylinux1_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp27-cp27m-manylinux1_x86_64.whl#sha512=1f796cf2e518a02cb268b3b7dd607b22e4eabcdaa0c8f5550e5017ebead309674fa7033cd9883997ee7e7c586e2bf0193e912110d8adcafaf1147301ecbbf5b3)
[SimpleITK-1.1.0rc2-cp27-cp27mu-manylinux1_i686.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp27-cp27mu-manylinux1_i686.whl#sha512=7e2b315de50c33cc52d3c5638656377d5db5c29ecdf58c7c97fa44e30ee04917c7cad3b93c2e2e4107d84820b691702b650ae280dea436f0a3e1b415b3393bfc)
[SimpleITK-1.1.0rc2-cp27-cp27mu-manylinux1_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp27-cp27mu-manylinux1_x86_64.whl#sha512=c41c69bf36010c98059793e9fde2aaad65ac72808ffb67706274fa0d1d72d7fc3780cbcd267dbbe0c91b90143c06614d5d218f07b44647c86ec6121415430747)
[SimpleITK-1.1.0rc2-cp27-cp27m-win32.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp27-cp27m-win32.whl#sha512=bd22baba9d9561ef67f1e2ed30f7b568f067531242fb9345aeb8b53a4bfef416ccecfa340f6aae0d2045fe6bba032f0544a54475a19f5f156064203d54130e3e)
[SimpleITK-1.1.0rc2-cp34-cp34m-macosx_10_6_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp34-cp34m-macosx_10_6_x86_64.whl#sha512=1559dfdffd61e51fd7242fded4469ebdd01350da2d90f5440bd4ef7a51784333b550bc72cc0d1b3bafd14c076fb0a3daf1510e02c57e7002c16f6ef2ce0714a4)
[SimpleITK-1.1.0rc2-cp34-cp34m-manylinux1_i686.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp34-cp34m-manylinux1_i686.whl#sha512=713fa4a75c8b9484b1e52203d239b8fb2500268e2f3e1f93abe73c2af6319d8f23577899ada9328769636c49c56586ce284c21285fac1318ee358a2a76650980)
[SimpleITK-1.1.0rc2-cp34-cp34m-manylinux1_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp34-cp34m-manylinux1_x86_64.whl#sha512=ff9677cc3e05d6b377782dcd882b6f8a52ba94d0787a960cf7c6097371c60ff72d7636a184b7c205688e1d1594b826a37b1ff6ff3357679a62c65ab05f14faa5)
[SimpleITK-1.1.0rc2-cp34-cp34m-win32.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp34-cp34m-win32.whl#sha512=2da3766ffe753fa219fef1f88b4fa06541fe42f23ab2b048d70b51b2da9b3b7b23dab797850abbb1432fe7279af522780415b577556705536d96792cc11f1757)
[SimpleITK-1.1.0rc2-cp35-cp35m-macosx_10_6_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp35-cp35m-macosx_10_6_x86_64.whl#sha512=eb0207bc61feabca4c658b7b4f04dca84bd3ae2381a4b23e14f5ba0732d9a93711608f3009c61ea03be4609b8ba6b929f6f6f6ab6b181a4866b08953d80f68c1)
[SimpleITK-1.1.0rc2-cp35-cp35m-manylinux1_i686.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp35-cp35m-manylinux1_i686.whl#sha512=fc2ecb974f1c8dd9d222aad31fe999a757a7221f1d6f3334926b0af1d11b3e957f9af1d94da1160f935fd1793e504066cf514f151364d93075904a669cb8ebba)
[SimpleITK-1.1.0rc2-cp35-cp35m-manylinux1_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp35-cp35m-manylinux1_x86_64.whl#sha512=aac01c370ba70217c43eed50acb08bbbac800096f6a2bf6a5a17862060430b24e0c0cbd24335c02e8f407a0571f0bf8b1f463cd8121de5303d78cf5c007faacb)
[SimpleITK-1.1.0rc2-cp35-cp35m-win32.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp35-cp35m-win32.whl#sha512=99aa3e19670e68bbdc79dea85b573b01bdeab571679bcdc10956c55bedfba8566569fb2b1e0ffc5e035e8742f68e099d67a9caa058f44dd83414de55ab7b4abc)
[SimpleITK-1.1.0rc2-cp35-cp35m-win_amd64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp35-cp35m-win_amd64.whl#sha512=79769c85b451e9ff0944f212de959622ab250e4eb707fafce21aaea642556fc1e6cdc604af5791dbe130cf274bb7ef073113cc1033976a7e8009e52f4a22fc81)
[SimpleITK-1.1.0rc2-cp36-cp36m-macosx_10_6_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp36-cp36m-macosx_10_6_x86_64.whl#sha512=8f891f4a32ef7df4176727e532765c3a28f89014c122fe9860153049a44f4f05a77efa0005a93d2771962640995a733632ec3f9b8724ae232fd26c18fa7b6acd)
[SimpleITK-1.1.0rc2-cp36-cp36m-manylinux1_i686.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp36-cp36m-manylinux1_i686.whl#sha512=7728c705b16e7195234662660ed9fc0982a82cf767e305b4330db8e06312ef347e889948d31b036381f8252d168676195e062bbfa0834b64aa4db8c49a0ee1ce)
[SimpleITK-1.1.0rc2-cp36-cp36m-manylinux1_x86_64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp36-cp36m-manylinux1_x86_64.whl#sha512=b40c7825dc3f73346ae6e3de8374dccf15c8f9731b96628f9d4522115e66ac832534065e9c1f8d3e3c0b7f1dfae9f47cccfb622bc220e73ab2b2ede6228ee262)
[SimpleITK-1.1.0rc2-cp36-cp36m-win32.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp36-cp36m-win32.whl#sha512=d83536c897b654734d7476f6ffec03d9682e22757d12bed4d947d3abdf7ee19c2212a8a1b342f52bcb85dded5673288ea1ee588c199a484ab817d3f4443e153a)
[SimpleITK-1.1.0rc2-cp36-cp36m-win_amd64.whl](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1.0rc2-cp36-cp36m-win_amd64.whl#sha512=63a8d39df04aba08c8eb556e535df53779b460eca7e37eaac67b1ac7a725a76ef891fd43bdb9ccdcec919a24f1f957427217be9a0e5d04a2c56ad589b05850a9)
[SimpleITK-1.1rc2.tar.gz](https://sourceforge.net/projects/simpleitk/files/SimpleITK/1.1rc2/Python/SimpleITK-1.1rc2.tar.gz#sha512=d9162a0ddc1f954cb982b74107f5ca0a546628cb8f6ba50eb5b65a21fc165bde7183a339474b47ac3a84ee92bbd5006edc163441c53d2d950d7058e7be594a2e)

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