ITK Maintenance Hackathon, January 2025

The Insight Toolkit (ITK) is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration.

The ITK Maintenance Hackathon aims to bring together ITK developers and new users to learn how to use ITK tools for scientific image processing.

Our goal is to make comprehensive improvements across the entire ITK ecosystem.

Why Attend?

• Learn: Want to learn to use ITK, but not sure where to get started? Join the discussion and take your first steps with the ITK!
• Contribute: Have you found a great way to apply ITK in your scientific imaging work? Create an example to share your process with other community members!
• Meet: Want to interact with the ITK and scientific image processing community? Come meet the developers behind the curtain!

Mark Your Calendar

• Date: January 23rd, 2025
• Time: 9am – 6pm EST (partial attendance welcome)
• Where: Hybrid (Kitware Chapel Hill Office + Virtual)
• Who: Anyone interested in contributing to the ITK open source community!

Prepare for the Hackathon

• Register by Monday, January 20th
• Visit the ITK GitHub repository
  • https://github.com/InsightSoftwareConsortium/ITK
• Create a GitHub account and fork the ITK repository
• Build ITK (see How to Build a CMake-Based Project). Turn on:
  • BUILD_EXAMPLES
  • BUILD_TESTING
• Optional: Build the documentation locally (for those planning to work on documentation)
• Read ITK’s guide to contributing

During the Hackathon

• Tackle reported issues, or make improvements no one has asked for
• Collaborate on other ITK-related projects of your choice
• Chat with other attendees to learn about ITK and share perspectives
• Participants are expected to adhere to ITK’s Code of Conduct
• (Recommended) Have fun!

Assign yourself a task

If you would like an issue to work on during the hackathon, a list is provided below. Please assign it to yourself if you can (ITK developers) or add a comment stating “I am looking into this” or something similar. If you decide you don’t want to take it, write so in another comment. Extra points: write any findings which might help someone tackling the issue in the future.

• ITK “good first issues” list
• ITK examples “good first issues” list
• ITK remote module action issues
• ITK doxygen issues
• ITK PythonPackage issues
• ITK ModuleTemplate issues
• Migrate ITK Wiki pages to docs.itk.org (instructions)

Acknowledgements

This hackathon is supported by Kitware. Kitware provides advanced technical computing, state-of-the-art AI, and tailored software solutions to our customers. Read more: Kitware’s about page.