Difference between revisions of "Summer2009:Using ITK in python"
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Revision as of 14:51, 19 June 2009
Home < Summer2009:Using ITK in python
ITK provides body of algorithms in C++
Python provides interactive development environment.
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 shown on this page in the slicer.org wiki
