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
Attentive Implicit Representation Networks (AIR-Nets)

Attentive Implicit Representation Networks (AIR-Nets) Preprint | Supplementary | Accepted at the International Conference on 3D Vision (3DV) teaser.mo

29 Dec 07, 2022
The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".

Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* This code is based on MMdetecti

sunshine.lwt 112 Jan 05, 2023
Robbing the FED: Directly Obtaining Private Data in Federated Learning with Modified Models

Robbing the FED: Directly Obtaining Private Data in Federated Learning with Modified Models This repo contains a barebones implementation for the atta

16 Dec 04, 2022
How to Leverage Multimodal EHR Data for Better Medical Predictions?

How to Leverage Multimodal EHR Data for Better Medical Predictions? This repository contains the code of the paper: How to Leverage Multimodal EHR Dat

13 Dec 13, 2022
Leveraging OpenAI's Codex to solve cornerstone problems in Music

Music-Codex Leveraging OpenAI's Codex to solve cornerstone problems in Music Please NOTE: Presented generated samples were created by OpenAI's Codex P

Alex 2 Mar 11, 2022
Deep Watershed Transform for Instance Segmentation

Deep Watershed Transform Performs instance level segmentation detailed in the following paper: Min Bai and Raquel Urtasun, Deep Watershed Transformati

193 Nov 20, 2022
FairyTailor: Multimodal Generative Framework for Storytelling

FairyTailor: Multimodal Generative Framework for Storytelling

Eden Bens 172 Dec 30, 2022
Forecasting with Gradient Boosted Time Series Decomposition

ThymeBoost ThymeBoost combines time series decomposition with gradient boosting to provide a flexible mix-and-match time series framework for spicy fo

131 Jan 08, 2023
IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales

IRON Kaggle project done while doing IRONHACK Bootcamp where we had to analyze and use a Machine Learning Project to predict future sales. In this case, we ended up using XGBoost because it was the o

1 Jan 04, 2022
HGCAE Pytorch implementation. CVPR2021 accepted.

Hyperbolic Graph Convolutional Auto-Encoders Accepted to CVPR2021 🎉 Official PyTorch code of Unsupervised Hyperbolic Representation Learning via Mess

Junho Cho 37 Nov 13, 2022
Face-Recognition-based-Attendance-System - An implementation of Attendance System in python.

Face-Recognition-based-Attendance-System A real time implementation of Attendance System in python. Pre-requisites To understand the implentation of F

Muhammad Zain Ul Haque 1 Dec 31, 2021
Rename Images with Auto Generated Neural Image Captions

Recaption Images with Generated Neural Image Caption Example Usage: Commandline: Recaption all images from folder /home/feng/Downloads/images to folde

feng wang 3 May 01, 2022
The official implementation of You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient.

You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient (paper) @misc{zhang2021compress,

46 Dec 07, 2022
Additional code for Stable-baselines3 to load and upload models from the Hub.

Hugging Face x Stable-baselines3 A library to load and upload Stable-baselines3 models from the Hub. Installation With pip Examples [Todo: add colab t

Hugging Face 34 Dec 10, 2022
This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-grained Classification".

HA-in-Fine-Grained-Classification This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-g

16 Oct 29, 2022
PyTorch implementation for View-Guided Point Cloud Completion

PyTorch implementation for View-Guided Point Cloud Completion

22 Jan 04, 2023
Source code of D-HAN: Dynamic News Recommendation with Hierarchical Attention Network

D-HAN The source code of D-HAN This is the source code of D-HAN: Dynamic News Recommendation with Hierarchical Attention Network. However, only the co

30 Sep 22, 2022
Resources for the Ki testnet challenge

Ki Testnet Challenge This repository hosts ki-testnet-challenge. A set of scripts and resources to be used for the Ki Testnet Challenge What is the te

Ki Foundation 23 Aug 08, 2022
An implementation of RetinaNet in PyTorch.

RetinaNet An implementation of RetinaNet in PyTorch. Installation Training COCO 2017 Pascal VOC Custom Dataset Evaluation Todo Credits Installation In

Conner Vercellino 297 Jan 04, 2023
A hifiasm fork for metagenome assembly using Hifi reads.

hifiasm_meta - de novo metagenome assembler, based on hifiasm, a haplotype-resolved de novo assembler for PacBio Hifi reads.

44 Jul 10, 2022