I just finished creating an interface between numpy/slicer and my ITK
C++ project module using SWIG. I use pointers to avoid copying and it
works well. Happy to share what I have.
- David
On 02/04/2016 02:36 PM, Hyun Jae Kang wrote:
Hi all,
To support data transparency between the functions of SimpleITK and
NumPy, SimpleITK provides functional integration with NumPy-based
script and a method of data-conversion between SimpleITK’s image data
and the N-dimensional array object of NumPy. But, there is a
significant performance bottleneck in the data-conversion which is
based on the operation of data copy. The performance bottleneck can be
increased with the size of handling image data and the number of
data-conversion.
The performance bottle can be removed by allowing SimpleITK’s image
and the arrays of NumPy to share pointers to the same memory
symmetrically with copy-on-write semantics. That is, reduce data-copy
operations in the data conversion. This approach can be accomplished
by developing and/or improving existing data handling methods in ITK
and SimpleITK to enable copy-on-write sharing of data between
SimpleITK’s image data and other common data object of Python
libraries used for scientific computing and image processing.
For more detail information, please check the following website:
http://www.itk.org/Wiki/SimpleITK/Design_And_Proposals/SIP_002
Any your valuable comments are welcome.
Thanks,
Hyun Jae
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_______________________________________________
Powered by www.kitware.com
Visit other Kitware open-source projects at
http://www.kitware.com/opensource/opensource.html
Kitware offers ITK Training Courses, for more information visit:
http://kitware.com/products/protraining.php
Please keep messages on-topic and check the ITK FAQ at:
http://www.itk.org/Wiki/ITK_FAQ
Follow this link to subscribe/unsubscribe:
http://public.kitware.com/mailman/listinfo/insight-developers
