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<p class="MsoNormal">Hallo,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span lang="EN-US">I use ITK with Python Wrap. I need to interface my Python code with a Cython-wrapped C++ code that takes only numpy array as input and returns numpy array as output.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Hence, I need to convert the Python itk images into numpy array to be given as input to the wrapped C++ code, and then convert the numpy array in output from the wrapped C++ code back into python itk images.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Question 1) How can I do that in an efficient way? I found some posts on itk.PyBuffer but I could not find anywhere any reference on how to install it on my itk wrap build.
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Question 2) The purpose of writing a part of my algorithm in C++ is to speed up the code. If the conversion between python itk images and numpy arrays is slow, I would lose all the speed gain obtained with the C++ implementation.
Are there better ways to deal with that?<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Thank you,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">Fabio.</span><span lang="EN-US" style="mso-fareast-language:DE-CH"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
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