Difference between revisions of "Summer2009:Using ITK in python"
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Revision as of 11:36, 15 May 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