Difference between revisions of "Summer2009:Using ITK in python"

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Revision as of 14:47, 19 June 2009

Home < Summer2009:Using ITK in python


Key Investigators

  • GE: Jim Miller
  • Isomics: Steve Pieper
  • INRIA: Demian Wassermann

Objective

Develop strategies for embedding ITK filters in python code. See if this would be a workable strategy for creating slicer modules.

Approach, Plan

  • Look at how numpy arrays are passed to C/C++ code using techniques like cython, weave, etc.
  • Figure out what is needed to compile ITK code in these environments.
  • Compare and contrast this approach to WrapITK

Progress

  • Some pre-project week progress is described [

References