A setup script to generate ITK Python Wheels

Overview

ITK Python Package

This project provides a setup.py script to build ITK Python binary packages and infrastructure to build ITK external module Python packages.

ITK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis.

Installation

To install the ITK Python package:

    $ pip install itk

Usage

Simple example script

    import itk
    import sys

    input_filename = sys.argv[1]
    output_filename = sys.argv[2]

    image = itk.imread(input_filename)

    median = itk.median_image_filter(image, radius=2)

    itk.imwrite(median, output_filename)

See also the ITK Python Quick Start Guide. There are also many downloadable examples documented in Sphinx.

For more information on ITK's Python wrapping, an introduction is provided in the ITK Software Guide.

Comments
  • Add support for shared libraries dependencies in remote modules

    Add support for shared libraries dependencies in remote modules

    We want to package the OpenCL ICD loader in particular in dependent remote modules.

    We can build on the shared library support in 5.3rc1 for TBB.

    For the platform-specific wheel fix-up tools, auditwheel (Linux), delocate (macOS), delvewheel (Windows) we need to add support for additional shared libraries. Mostly, this should be making the scripts that expose the path to local libraries with environmental variables allow appending to that variable, then set this variable to the path to the OpenCL ICD loader library in the remote module GitHub CI configuration.

    E.g.:

    https://github.com/InsightSoftwareConsortium/ITKPythonPackage/blob/ad3f8d0c3dcb0e1b959924b4ceea8e832d612758/scripts/internal/manylinux-build-module-wheels.sh#L14

    ->

    export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/work/oneTBB-prefix/lib64
    

    For Windows:

    https://github.com/InsightSoftwareConsortium/ITKPythonPackage/blob/ad3f8d0c3dcb0e1b959924b4ceea8e832d612758/scripts/windows_build_wheels.py#L225-L228

    We may need to change this script to enable passing addition paths as a CLI argument. Also, we will likely need to adjust the strategy since delvewheel patches itk/__init__.py.

    For macOS:

    https://github.com/InsightSoftwareConsortium/ITKPythonPackage/blob/ad3f8d0c3dcb0e1b959924b4ceea8e832d612758/scripts/macpython-build-module-wheels.sh#L29

    opened by thewtex 17
  • Source path directory too long

    Source path directory too long

    When attempting to install via the pip: pip install itk

    I receive the following error:

    ITK source code directory path length is too long (${n} > 50).
    Please move the ITK source code directory to a directory with a shorter path.
    

    According to this article (https://public.kitware.com/pipermail/community/2013-December/004475.html), the check is due to Visual Studio and truncation of commands.

    Is there a way to specify the build and install directory? In addition, the build files in skbuild are fairly long as it is so I could only place the ITKPythonPackage directory in my D: drive for it to work.

    If there is not a way to specify the build and install directory, I propose this option be added and documentation be added to the front page.

    opened by addisonElliott 14
  • COMP: Ensure tbb library is built with the expected deployment target

    COMP: Ensure tbb library is built with the expected deployment target

    This commit is a follow-up of these commits:

    • a5f774ba5 (ENH: Add TBB support to Linux wheels)
    • 374c744a1 (ENH: Add macOS wheel TBB support)
    • 037a326c1 (ENH: Build macOS module wheels with TBB support)

    It ensures that oneTBB is built specifying the non-default options expected by oneTBB ^1 and it should ensure the library can be loaded on macOS >= 10.9.

    See https://discourse.itk.org/t/itk-5-3rc4-post3-failure-to-load-libtbb-library-observed-on-macos-10-13/5405/1#suggested-path-forward-3

    opened by jcfr 13
  • delocate is failing on Python files

    delocate is failing on Python files

    Interestingly, delocate-listdeps has recently started to fail when building module packages:

    +/Users/Kitware/Dashboards/ITK/ITKPythonPackage/scripts/../venvs/2.7/bin/delocate-listdeps /Users/travis/build/InsightSoftwareConsortium/ITKRingArtifact/dist/itk_ringartifact-0.1.0-cp27-cp27m-macosx_10_6_x86_64.whl /Users/travis/build/InsightSoftwareConsortium/ITKRingArtifact/dist/itk_ringartifact-0.1.0-cp34-cp34m-macosx_10_6_x86_64.whl /Users/travis/build/InsightSoftwareConsortium/ITKRingArtifact/dist/itk_ringartifact-0.1.0-cp35-cp35m-macosx_10_6_x86_64.whl /Users/travis/build/InsightSoftwareConsortium/ITKRingArtifact/dist/itk_ringartifact-0.1.0-cp36-cp36m-macosx_10_6_x86_64.whl
    /Users/travis/build/InsightSoftwareConsortium/ITKRingArtifact/dist/itk_ringartifact-0.1.0-cp27-cp27m-macosx_10_6_x86_64.whl:
    Traceback (most recent call last):
      File "/Users/Kitware/Dashboards/ITK/ITKPythonPackage/scripts/../venvs/2.7/bin/delocate-listdeps", line 61, in <module>
        main()
      File "/Users/Kitware/Dashboards/ITK/ITKPythonPackage/scripts/../venvs/2.7/bin/delocate-listdeps", line 44, in main
        lib_dict = wheel_libs(path)
      File "/Users/kitware/Dashboards/ITK/ITKPythonPackage/venvs/2.7/lib/python2.7/site-packages/delocate/libsana.py", line 161, in wheel_libs
        lib_dict = tree_libs(tmpdir, filt_func)
      File "/Users/kitware/Dashboards/ITK/ITKPythonPackage/venvs/2.7/lib/python2.7/site-packages/delocate/libsana.py", line 54, in tree_libs
        for install_name in get_install_names(depending_libpath):
      File "/Users/kitware/Dashboards/ITK/ITKPythonPackage/venvs/2.7/lib/python2.7/site-packages/delocate/tools.py", line 173, in get_install_names
        if not _line0_says_object(lines[0], filename):
      File "/Users/kitware/Dashboards/ITK/ITKPythonPackage/venvs/2.7/lib/python2.7/site-packages/delocate/tools.py", line 143, in _line0_says_object
        raise InstallNameError('Unexpected first line: ' + line0)
    delocate.tools.InstallNameError: Unexpected first line: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/objdump: '/private/var/folders/bb/n7t3rs157850byt_jfdcq9k80000gn/T/tmp_NF5m6/itk/itkFourierStripeArtifactImageFilterPython.py': The file was not recognized as a valid object file
    

    CC: @jcfr @matthew-brett

    opened by thewtex 10
  • Add support for multiple manylinux versions

    Add support for multiple manylinux versions

    Motivation for this change is to build wheels with C++ ABI compatible with Slicer built using newer g++ having _GLIBCXX_USE_CXX11_ABI defaulting to 1.

    See https://gcc.gnu.org/onlinedocs/libstdc++/manual/using_dual_abi.html

    Note that the latest Slicer release (5.0) is built using centos7 based ^1 environment having _GLIBCXX_USE_CXX11_ABI set to 0.

    We should likely build wheels using both manylinux2014 and manylinux_2_28.

    As of 2022.06.22, this pull-request uses 2_24, as commented ^2 by @henryiii, I will instead update dockcross ^3 to add 2_28 based image (instead of 2_24).

    References:

    • https://gcc.gnu.org/onlinedocs/libstdc++/manual/using_dual_abi.html
    • https://discuss.python.org/t/how-to-set-glibcxx-use-cxx11-abi-for-manylinux2014-and-manylinux2010-wheels/10551
    • https://github.com/pytorch/pytorch/issues/51039
    • https://github.com/pypa/manylinux/issues/1012
    • https://github.com/dockcross/dockcross/pull/705
    opened by jcfr 9
  • itkHelpers.py missing in itk python 5.2.0

    itkHelpers.py missing in itk python 5.2.0

    Unable to find itkHelpers.py in the installation and got python error: ModuleNotFoundError: No module named 'itkHelpers'

    itk python 5.2.0 installed via pip install itk

    opened by yliu7366 8
  • import _ITKPyBasePython failed

    import _ITKPyBasePython failed

    my Env: win10 64 bits python 3.6 itk 5.1.0

    my err: File "C:\Users\haoch\AppData\Local\Programs\Python\Python36\lib\site-packages\itk\Configuration..\ITKPyBasePython.py", line 15, in import _ITKPyBasePython ImportError: DLL load failed:

    when I use itk.imread(path),then the error occured what can I do?

    opened by xiaoxifei1223 8
  • Latest manylinux images missing `sudo`

    Latest manylinux images missing `sudo`

    Summary

    Local and CI tests in relation to https://github.com/InsightSoftwareConsortium/ITKPythonPackage/pull/233 fail to build on Linux. The issue appears to originate from the dockcross manylinux image.

    Observed behavior

    Building wheels for x64 using manylinux_2_28
    ++ type ninja
    ++ MANYLINUX_VERSION=_2_28
    ++ echo 'Building wheels for x64 using manylinux_2_28'
    + sudo ldconfig
    /opt/rh/gcc-toolset-12/root/usr/bin/sudo: line 41: /usr/bin/sudo: No such file or directory
    Error: Process completed with exit code 127.
    

    See log: https://github.com/InsightSoftwareConsortium/ITKSplitComponents/actions/runs/3583756532/jobs/6029570633

    Expected behavior

    Build succeeds.

    Steps to Reproduce

    > MANYLINUX_VERSION=_2_28
    > IMAGE_TAG=20221128-2024e4b
    
    # Generate dockcross scripts
    > docker run --rm dockcross/manylinux${MANYLINUX_VERSION}-x64:${IMAGE_TAG} > /tmp/dockcross-manylinux-x64
    > chmod u+x /tmp/dockcross-manylinux-x64
    
    # Launch container
    > /tmp/dockcross-manylinux-x64 bash
    
    # Try to run any command with sudo
    >> sudo ldconfig
    /opt/rh/gcc-toolset-12/root/usr/bin/sudo: line 41: /usr/bin/sudo: No such file or directory
    
    # Try to find sudo in /usr/bin
    >> ls /usr/bin | grep sudo
    # no results
    

    Other Notes

    Possibly related to the most recent image tag update: https://github.com/InsightSoftwareConsortium/ITKPythonPackage/pull/230

    Investigation shows that sudo works in the previous dockcross image:

    > IMAGE_TAG=20221108-102ebcc
    > docker run --rm dockcross/manylinux${MANYLINUX_VERSION}-x64:${IMAGE_TAG} > /tmp/dockcross-manylinux-x64
    > chmod u+x /tmp/dockcross-manylinux-x64
    > /tmp/dockcross-manylinux-x64 bash
    >> sudo ldconfig
    >> sudo echo "sudo works"
    sudo works
    
    opened by tbirdso 6
  • ENH: Add build script update step to download script

    ENH: Add build script update step to download script

    Several related updates:

    • Adds update step to apply build script patches to ITKPythonBuilds packages
    • Exposes manylinux parameters and resolves issue where wrong image was used with specialized tarballs
    • Reverts manylinux image tag while awaiting fix for sudo issue tracked in https://github.com/InsightSoftwareConsortium/ITKPythonPackage/issues/235 and https://github.com/dockcross/dockcross/issues/746

    These changes are tested at https://github.com/InsightSoftwareConsortium/ITKSplitComponents/actions/runs/3586129456

    opened by tbirdso 6
  • CMake version ignored

    CMake version ignored

    Despite explicitly getting CMake 3.24 in the CI, an older version is used during some stage resulting in insufficient version error:

    -- Configuring done
    -- Generating done
    -- Build files have been written to: /work/_cmake_test_compile/build
    CMake Error at CMakeLists.txt:1 (cmake_minimum_required):
      CMake 3.24 or higher is required.  You are running version 3.23.1
    
    
    -- Configuring incomplete, errors occurred!
      File "/opt/python/cp38-cp38/lib/python3.8/site-packages/skbuild/setuptools_wrap.py", line 544, in setup
        env = cmkr.configure(cmake_args,
      File "/opt/python/cp38-cp38/lib/python3.8/site-packages/skbuild/cmaker.py", line 221, in configure
        raise SKBuildError(
    An error occurred while configuring with CMake.
      Command:
    
        "cmake" "/work" "-G" "Ninja" "-DCMAKE_INSTALL_PREFIX:PATH=/work/_skbuild/linux-x86_64-3.8/cmake-install" "-DPYTHON_EXECUTABLE:FILEPATH=/opt/python/cp38-cp38/bin/python" "-DPYTHON_VERSION_STRING:STRING=3.8.13" "-DPYTHON_INCLUDE_DIR:PATH=/opt/_internal/cpython-3.8.13/include/python3.8" "-DPYTHON_LIBRARY:FILEPATH=libpython3.8.a" "-DSKBUILD:BOOL=TRUE" "-DCMAKE_MODULE_PATH:PATH=/opt/python/cp38-cp38/lib/python3.8/site-packages/skbuild/resources/cmake" "-DITK_DIR:PATH=/work/ITK-cp38-cp38-manylinux_2_28_x64" "-DITK_USE_SYSTEM_SWIG:BOOL=ON" "-DWRAP_ITK_INSTALL_COMPONENT_IDENTIFIER:STRING=PythonWheel" "-DSWIG_EXECUTABLE:FILEPATH=/work/ITK-cp38-cp38-manylinux_2_28_x64/Wrapping/Generators/SwigInterface/swig/bin/swig" "-DCMAKE_CXX_COMPILER_TARGET:STRING=x86_64-linux-gnu" "-DCMAKE_INSTALL_LIBDIR:STRING=lib" "-DBUILD_TESTING:BOOL=OFF" "-DPython3_EXECUTABLE:FILEPATH=/opt/python/cp38-cp38/bin/python" "-DPython3_INCLUDE_DIR:PATH=/opt/python/cp38-cp38/bin/../include/python3.8" "-DCMAKE_BUILD_TYPE:STRING=Release"
    

    This might be a problem in https://github.com/python-cmake-buildsystem/python-cmake-buildsystem.

    opened by dzenanz 6
  • TimeVaryingDiffeomorphisms in ITKPythonPackage

    TimeVaryingDiffeomorphisms in ITKPythonPackage

    Hello I wanted to know if the itkpythonpackage provides bindings for the deformable registration components of itk. So far i havent found this using google search.

    Thansk

    opened by cakeinspace 6
  • COMP: Consolidate Linux ARM build script

    COMP: Consolidate Linux ARM build script

    Several quality-of-life fixes and updates for ARM support:

    • Consolidates ARM module script with x86_64 module script for easier maintenance and comparison between procedures. Internal ARM script is preserved as a wrapper around generic internal build script.
    • Splits MANYLINUX_VERSION variable into MANYLINUX_VERSION prefix and TARGET_ARCH postfix to better reflect available images.
    • Uses sudo to avoid permissions failure when running docker or cleaning up files on ARM systems

    Applies changes introduced by @thewtex in https://github.com/InsightSoftwareConsortium/ITKPythonPackage/pull/234.

    Tests have passed at https://github.com/InsightSoftwareConsortium/ITKSplitComponents/actions/runs/3736106376/jobs/6340059855. Note that ARM builds on Github Actions runners are significantly slower than x86/x64 builds due to emulation. ITKSplitComponents Linux jobs previously completed in ~10 minutes and now complete in ~30 minutes with the addition of ARM wheels.

    co-authored-by: Matt McCormick [email protected]

    opened by tbirdso 9
  • fail to build release 5.2rc03 on ArchLinux

    fail to build release 5.2rc03 on ArchLinux

    Error log:

    CMake Error at Wrapping/CMakeUtilityFunctions.cmake:40 (math):
      math cannot parse the expression: ")
    
      set(ITK_WRAP_VECTOR_COMPONENTS + 1": syntax error, unexpected
      exp_CLOSEPARENT (1).
    Call Stack (most recent call first):
      Wrapping/WrapBasicTypes.cmake:55 (INCREMENT)
      Wrapping/ConfigureWrapping.cmake:131 (include)
      Wrapping/CMakeLists.txt:97 (include)
    
    
    CMake Warning (dev) at Wrapping/CMakeUtilityFunctions.cmake:40 (math):
      Unexpected character in expression at position 1: "
    
    Call Stack (most recent call first):
      Wrapping/WrapBasicTypes.cmake:63 (INCREMENT)
      Wrapping/ConfigureWrapping.cmake:131 (include)
      Wrapping/CMakeLists.txt:97 (include)
    This warning is for project developers.  Use -Wno-dev to suppress it.
    
    CMake Error at Wrapping/WrapBasicTypes.cmake:73 (message):
      ITK_WRAP_VECTOR_COMPONENTS must include ITK_WRAP_IMAGE_DIMS
    Call Stack (most recent call first):
      Wrapping/ConfigureWrapping.cmake:131 (include)
      Wrapping/CMakeLists.txt:97 (include)
    

    See the complete build log here

    opened by hubutui 20
Releases(v5.3.0)
Owner
Insight Software Consortium
Community development of the Insight Toolkit (ITK)
Insight Software Consortium
DFM: A Performance Baseline for Deep Feature Matching

DFM: A Performance Baseline for Deep Feature Matching Python (Pytorch) and Matlab (MatConvNet) implementations of our paper DFM: A Performance Baselin

143 Jan 02, 2023
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

dm_control: DeepMind Infrastructure for Physics-Based Simulation. DeepMind's software stack for physics-based simulation and Reinforcement Learning en

DeepMind 3k Dec 31, 2022
Code associated with the paper "Deep Optics for Single-shot High-dynamic-range Imaging"

Deep Optics for Single-shot High-dynamic-range Imaging Code associated with the paper "Deep Optics for Single-shot High-dynamic-range Imaging" CVPR, 2

Stanford Computational Imaging Lab 40 Dec 12, 2022
PyTorch implementation of DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images

DARDet PyTorch implementation of "DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images", [pdf]. Highlights: 1. We develop a new dense

41 Oct 23, 2022
Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision (ICCV 2021)

Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision (ICCV 2021) PyTorch implementation of Learning RAW-to-sRGB Mappings with Inaccurat

Zhilu Zhang 53 Dec 20, 2022
Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.

Machine Learning Sleep Schedule Tracker What is it? Convolutional neural network web app trained to track our infant’s sleep schedule using our Google

g-parki 7 Jul 15, 2022
Controlling a game using mediapipe hand tracking

These scripts use the Google mediapipe hand tracking solution in combination with a webcam in order to send game instructions to a racing game. It features 2 methods of control

3 May 17, 2022
Deep Structured Instance Graph for Distilling Object Detectors (ICCV 2021)

DSIG Deep Structured Instance Graph for Distilling Object Detectors Authors: Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia. [pdf] [slide]

DV Lab 31 Nov 17, 2022
[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

TransFuser This repository contains the code for the CVPR 2021 paper Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. If you find our

695 Jan 05, 2023
A concise but complete implementation of CLIP with various experimental improvements from recent papers

x-clip (wip) A concise but complete implementation of CLIP with various experimental improvements from recent papers Install $ pip install x-clip Usag

Phil Wang 515 Dec 26, 2022
A GridMixup augmentation, inspired by GridMask and CutMix

GridMixup A GridMixup augmentation, inspired by GridMask and CutMix Easy install pip install git+https://github.com/IlyaDobrynin/GridMixup.git Overvie

IlyaDo 42 Dec 28, 2022
Implementation for Learning to Track with Object Permanence

Learning to Track with Object Permanence A video-based MOT approach capable of tracking through full occlusions: Learning to Track with Object Permane

Toyota Research Institute - Machine Learning 91 Jan 03, 2023
A general-purpose programming language, focused on simplicity, safety and stability.

The Rivet programming language A general-purpose programming language, focused on simplicity, safety and stability. Rivet's goal is to be a very power

The Rivet programming language 17 Dec 29, 2022
To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.

To model the probability of a soccer coach leave his/her team during Campeonato Brasileiro for 10 chosen teams and considering years 2018, 2019 and 2020.

Larissa Sayuri Futino Castro dos Santos 1 Jan 20, 2022
A collection of IPython notebooks covering various topics.

ipython-notebooks This repo contains various IPython notebooks I've created to experiment with libraries and work through exercises, and explore subje

John Wittenauer 2.6k Jan 01, 2023
Realtime micro-expression recognition using OpenCV and PyTorch

Micro-expression Recognition Realtime micro-expression recognition from scratch using OpenCV and PyTorch Try it out with a webcam or video using the e

Irfan 35 Dec 05, 2022
TagLab: an image segmentation tool oriented to marine data analysis

TagLab: an image segmentation tool oriented to marine data analysis TagLab was created to support the activity of annotation and extraction of statist

Visual Computing Lab - ISTI - CNR 49 Dec 29, 2022
A small demonstration of using WebDataset with ImageNet and PyTorch Lightning

A small demonstration of using WebDataset with ImageNet and PyTorch Lightning

Tom 50 Dec 16, 2022
SSD-based Object Detection in PyTorch

SSD-based Object Detection in PyTorch 서강대학교 현대모비스 SW 프로그램에서 진행한 인공지능 프로젝트입니다. Jetson nano를 이용해 pre-trained network를 fine tuning시켜 차량 및 신호등 인식을 구현하였습니다

Haneul Kim 1 Nov 16, 2021
Neural network-based build time estimation for additive manufacturing

Neural network-based build time estimation for additive manufacturing Oh, Y., Sharp, M., Sprock, T., & Kwon, S. (2021). Neural network-based build tim

Yosep 1 Nov 15, 2021