SimpleITK/GettingStarted: Difference between revisions

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==Python binary files==
==Python binary files==


There are currently 3 Python binary package choices: Wheels [ recommended ], Python Eggs [ older ],  and Binstar packages for the Anaconda Python distribution.
There are currently three Python binary package choices: Wheels, Python Eggs,  and Binstar packages for the Anaconda Python distribution.


Before you install SimpleITK we <b>highly recommend</b> that you create a virtual environment into which you install the package. Note that different Python distributions and versions of these distributions have different programs for creating a virtual environment.


Your versions of Python, operating system, and architecture must match an available binary.  
The use of a virtual environment allows you to elegantly deal with package compatability issues, to quote [http://docs.python-guide.org/en/latest/ The Hitchhiker’s Guide to Python!]:
<blockquote>A Virtual Environment is a tool to keep the dependencies required by different projects in separate places, by creating virtual Python environments for them. It solves the “Project X depends on version 1.x but, Project Y needs 4.x” dilemma, and keeps your global site-packages directory clean and manageable.</blockquote>


SimpleITK is registered on the [http://pypi.python.org/pypi/SimpleITK/ Python Packaging Index]. The binary built packages are distributed as Python eggs and wheels. While your installation tool and the Python Packaging Index may get you the correct binary, it is often best to manually download the file from [http://sourceforge.net/projects/simpleitk/files/SimpleITK/ SourceForge].
Programs for creating virtual environments include [https://packaging.python.org/en/latest/installing/#creating-virtual-environments virtualenv and pyvenv] for generic Python distributions, [http://conda.pydata.org/docs/using/envs.html conda] for the anaconda distribution, and [http://docs.enthought.com/canopy/configure/canopy-cli.html canopy_cli] for the canopy distribution.


Advanced users may prefer to install SimpleITK in a [http://pypi.python.org/pypi/virtualenv virtual python environment], so that it does not modify the global python environment.
=== Generic Distribution ===


=== Wheels [ Recommended ] ===
If you are working with the [https://www.python.org/ generic Python distribution] you can either install a Wheel, recommended,  or a Python Egg.


You need a recent version of pip ( >= 6.0, newer is better) to install [http://pythonwheels.com wheels]. Please go to [https://pip.pypa.io/en/latest/index.html pip homepage] for more information about installation.
First thing you should do is create a virtual environment (virtualenv or pyvenv tools) and activate it.


Once you have pip, the package can be installed:
Note: you can always manually download the wheels or eggs for your operating system and Python version directly from [http://sourceforge.net/projects/simpleitk/files/SimpleITK/ sourceforge].


$ pip install --allow-external SimpleITK --trusted-host www.simpleitk.org SimpleITK  --timeout 30 SimpleITK
<u><b>Wheels</b></u>


Note: We do have window wheels hosted on pypi, but due to size and Linux binary restrictions neither OS X nor Linux are hosted on pipit, so the more complicated command is needed.
From the command line use the [https://pip.pypa.io/en/latest/index.html pip program] to install:


However, you may need to manually download the file from SourceForge. And specify it on the command line if the automatic search does not work.
$ pip install  --trusted-host www.simpleitk.org -f <nowiki>http://www.simpleitk.org/SimpleITK/resources/software.html</nowiki> --timeout 30 SimpleITK


If your pip version in the virtual environment is stale you may need to update it (pip install -U pip).


=== Eggs [ Older ] ===
<u><b> Eggs </b></u>


If your system does not already have easy_install you will need to install the setuptools package to obtain it. Please go to the [http://pypi.python.org/pypi/setuptools setuptools home page] for detailed installation instructions.
From the command line use the [https://pypi.python.org/pypi/setuptools easy_install program] to install:
 
Once you have installed '''setuptools''', and '''easy_install''' is in your path, then run the following command install the SimpleITK package in the current pythons system's site-packages:


  $ easy_install -U SimpleITK
  $ easy_install -U SimpleITK
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=== Anaconda Distribution ===
=== Anaconda Distribution ===
First thing you should do is create a virtual environment (conda tool) and activate it.


Currently there are compiled binaries on [https://binstar.org/SimpleITK Binstar] for the Anaconda distribution, easily installed with:
Currently there are compiled binaries on [https://binstar.org/SimpleITK Binstar] for the Anaconda distribution, easily installed with:
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https://github.com/Homebrew/homebrew-science/blob/master/simpleitk.rb
https://github.com/Homebrew/homebrew-science/blob/master/simpleitk.rb


=== Enthought Distribution ===
=== Enthought Canopy Distribution ===
 
First thing you should do is create a virtual environment (canopy_cli tool) and activate it.


Currently there are no binaries supported with this distribution. You will need to compile SimpleITK yourself. ( On Windows pip installation of the binaries may work. )
Currently there are no binaries supported with this distribution. You will need to compile SimpleITK yourself. (On Windows pip installation of the binaries may work.)


==C# binary files==
==C# binary files==

Revision as of 20:08, 2 February 2016

Simpleitk logo.png

SimpleITK provides a simplified interface to ITK in a variety of languages. You can either download binaries, if they are available for your platform and prefered language, or you can build SimpleITK yourself.

Additionally, there are several recommended third-party software packages.

After you have installed SimpleITK, please look to the Tutorial or the Doxygen pages for more information.

Downloading the binaries

One of the great advantages of SimpleITK is that (typically) you do not have to build it — you can simply download the binaries and get started right away!

Currently, Python binaries are available on Windows, Linux and Mac OS X. C# and Java binaries are available for Windows. We are also working towards supporting R packaging.

Python binary files

There are currently three Python binary package choices: Wheels, Python Eggs, and Binstar packages for the Anaconda Python distribution.

Before you install SimpleITK we highly recommend that you create a virtual environment into which you install the package. Note that different Python distributions and versions of these distributions have different programs for creating a virtual environment.

The use of a virtual environment allows you to elegantly deal with package compatability issues, to quote The Hitchhiker’s Guide to Python!:

A Virtual Environment is a tool to keep the dependencies required by different projects in separate places, by creating virtual Python environments for them. It solves the “Project X depends on version 1.x but, Project Y needs 4.x” dilemma, and keeps your global site-packages directory clean and manageable.

Programs for creating virtual environments include virtualenv and pyvenv for generic Python distributions, conda for the anaconda distribution, and canopy_cli for the canopy distribution.

Generic Distribution

If you are working with the generic Python distribution you can either install a Wheel, recommended, or a Python Egg.

First thing you should do is create a virtual environment (virtualenv or pyvenv tools) and activate it.

Note: you can always manually download the wheels or eggs for your operating system and Python version directly from sourceforge.

Wheels

From the command line use the pip program to install:

$ pip install  --trusted-host www.simpleitk.org -f http://www.simpleitk.org/SimpleITK/resources/software.html --timeout 30 SimpleITK

If your pip version in the virtual environment is stale you may need to update it (pip install -U pip).

Eggs

From the command line use the easy_install program to install:

$ easy_install -U SimpleITK

This command will check the available packages and choose the most recent one that matches your system. Then it will download and install the python egg.

To install through a firewall proxy, the environment variable "http_proxy" may need to be configured. To pass the environment variable down through sudo, you need to use the "-E" option

$ export http_proxy=http://someproxy.somewhere.com:8080
$ sudo -E easy_install -U SimpleITK

Anaconda Distribution

First thing you should do is create a virtual environment (conda tool) and activate it.

Currently there are compiled binaries on Binstar for the Anaconda distribution, easily installed with:

$ conda install -c https://conda.binstar.org/simpleitk SimpleITK

The recipe for these builds are in the official conda-recipe repository.

Beta and release candidate packages are also available on Binstar on the dev channel:

$conda install -c https://conda.binstar.org/simpleitk/channel/dev SimpleITK

Homebrew

SimpleITK Formula: https://github.com/Homebrew/homebrew-science/blob/master/simpleitk.rb

Enthought Canopy Distribution

First thing you should do is create a virtual environment (canopy_cli tool) and activate it.

Currently there are no binaries supported with this distribution. You will need to compile SimpleITK yourself. (On Windows pip installation of the binaries may work.)

C# binary files

Binaries for select C# platform can be found on SimpleITK's SourceForge page. Installing the library should only involve importing the unzipped files into you C# environment. The files have the following naming convention:

SimpleITK-version-CSharp-buildplatform-targetplatform.zip

eg.

SimpleITK-0.9.0-CSharp-win32-x86.zip
SimpleITK-0.9.0-CSharp-win64-x64.zip

Details about how to set up a C# Visual Studio project with SimpleITK can be found in the Visual Guide to SimpleITK with CSharp.

More information about getting started with a sample C# program can be found in A visual guide to building SimpleITK on Linux

Java binary files

Binaries for select Java platforms can be found on SimpleITK's SourceForge page. Installation instructions are available at a visual guide to SimpleITK in Java.

Nightly binaries

The latest binaries for the current development version of SimpleITK are also generally available. Binary packages are built as part of the nightly regression testing system. The download links are available from the CDash dashboard in the "Nightly Packages" section.

Each row on the dashboard is a SimpleITK build on a particular system, and if the build was successful there will be a package icon: package.png which links to the packages build by the system. A user may directly download the built package from such a link.

Build It Yourself

In many cases a user does not need to build SimpleITK because of the pre-built binaries available (see above). However there are several reasons a user might prefer to build SimpleITK from source:

  • The binary files for your programming language of choice are not (yet) distributed
  • You want the live on the bleeding edge by using the latest-and-greatest version of SimpleITK
  • You want to wrap your own filters using the SimpleITK infrastructure
  • You want to contribute to the development of SimpleITK
  • To use the SimpleITK's C++ interface and/or use ITK directly

Prerequisites

To build SimpleITK you need:

  • A recent version of CMake >= 2.8.4, for testing >= 2.8.11 ( 3.0-3.2 OK )
  • A supported compiler
  • To use the latest developmental version, source code can be downloaded with git >= 1.65
    • Git is required if building SimpleITK using "SuperBuild" (see below) to automatically download the matching version of ITK and SWIG
    • Windows users may prefer msysGit
  • It is recommended to have numpy installed when testing Python bindings

Source code

There are two options to obtain the SimpleITK source code:

  1. Download a released version from the SimpleITK SourceForge page
  2. Download the latest development version using git
git clone http://itk.org/SimpleITK.git

Building using SuperBuild

After downloading SimpleITK's source code we STRONGLY recommend to run cmake on the SuperBuild subdirectory of SimpleITK. Execute the following commands in the parent of the SimpleITK source directory to configure the SuperBuild:

mkdir SimpleITK-build
cd SimpleITK-build
cmake ../SimpleITK/SuperBuild

The SuperBuild will automatically download and build the matching version of ITK and SWIG needed to compile SimpleITK. Additionally, it will set recommended compilation flags to minimize the size of the library and enable support for large libraries. This is the recommended way to build SimpleITK and is easiest.

If you get an error message saying that ITK_DIR is not set then, you did not correctly point cmake to the SuperBuild sub-directory. Please erase your binary directory, and point cmake to the SimpleITK/SuperBuild sub-directory.

The cmake configuration process should automatically find supported languages and enable SimpleITK wrapping for them. To manually enable a language toggle the appropriate WRAP_LANGUAGE cmake variable to ON. Verify and/or correct the advanced cmake variables to the language specific executable, libraries and include directories. For example if you have multiple Python installations ensure that all related Python variable refer to the same versions.

Then use your make utility or your cmake chosen build utility to build SimpleITK.

SimpleITK takes a while to build. Some tips and tricks to speed up development time are listed here.

Building manually

This is not the recommended way of building SimpleITK, but it can be useful if you want to use a system version of ITK and/or SWIG, or if you do not want to (or can not) use git (due to firewall, etc).

  1. Setup the prerequisites as described above (i.e. CMake and supported compiler)
  2. Install the matching version of SWIG >= 3.0.5
  3. Download the SimpleITK source code from the SourceForge page
  4. Download the matching version of ITK
  5. Configure ITK using CMake
    • BUILD_EXAMPLES=OFF, BUILD_TESTING=OFF, BUILD_SHARED_LIBS=OFF, ITK_USE_REVIEW=ON, ITK_WRAP_*=OFF
  6. Build ITK
    • Be sure to note the build settings e.g. Release x64
  7. Configure SimpleITK using CMake
    • Set ITK_DIR to the location of the ITK build location from the previous steps
  8. Build SimpleITK
    • Be sure to configure the build settings exactly the same as ITK e.g. Release x64

A visual guide to building SimpleITK on Linux

Testing

After compilation the prudent thing to due is to test SimpleITK to ensure your build is stable and suitable for use and installation. The following commands execute the SimpleITK tests.

cd SimpleITK-build/SimpleITK-build
ctest

On Windows you will need to specify configuration. Typically that would be the Release configuration, as such:

cd SimpleITK-build/SimpleITK-build
ctest -C Release

If all tests fail, verify that you have the testing data in your source tree (the reason for the "--recursive" flag in the git command) AND that you have added the correct path to your *_LIBRARY_PATH.

Python installation

To install a built python package into the system Python, as root run:

 cd SimpleITK-build/Wrapping
 python PythonPackage/setup.py install

Alternatively, a Python virtual environment can be created and the distribution installed there.

If you build the "dist" target a Python egg will be created in the "Wrapping/dist" directory. Building Python wheels can be enabled with a CMake flag.

R installation

To install a built R package:

 cd SimpleITK-build/Wrapping/R/Packaging
 R CMD INSTALL SimpleITK

This will install the R package "SimpleITK" in /usr/local as root or your local R installation directory.

Recommended Software

ImageJ

SimpleITK has a built in function, "itk::simple::Show()", which can be used for viewing images in an interactive session. Currently, this function by default Show invokes ImageJ to display images. ImageJ was chosen because it can handle all the image types that SimpleITK supports, even 3D vector images with n components.


We recommend downloading a recent version of ImageJ from the official home page. Recent versions come with support for the Nifti ( *.nii ) file format, which SimpleITK uses to export to ImageJ.


The Show function first searches the "PATH" environment variable, then additional standard locations, for most platforms are examined, if problems are encountered the correct path can be added to this environment variable.


Note: Linux installation requires an additional step. The Show function searches for an executable named ImageJ or imagej, however the default tarball does not come with this file. Instead it comes with a file names script. This file contains the installation instructions. In short the file should be renamed to "imagej" and the site specific variables for the installation location, and java must be set. Also consider the "newwindow" variable... Do you really want a new instance of ImageJ launched each time you use Show? Lastly, as the installation instructions indicate, the imagej wrapper should be in your path.

ipython

If you are using python, ipython is terrific environment to perform interactive commands for image processing. With the addition of numpy and scipy, you'll have a powerful interactive environment.

We have instructional SimpleITK Notebooks which can help you get started.