[ITK] [ITK-users] Python Bindings, Templates, and ConfidenceConnectedImageFilter

[Michka Popoff]

Hi

one good way to know which types are available is to use the GetTypes method on your template (before calling New). This method way introduced in 4.7 or after, I don't remember. But it is definitively available in 4.8 rc 1.

I am not in front on a computer so please check this out yourself. Looking at the code we wrap float combinations here:
https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Segmentation/RegionGrowing/wrapping/itkConfidenceConnectedImageFilter.wrap

Michka



Envoyé de mon iPhone

> Le 12 juin 2015 à 17:03, Porter, Justin <porterj at wusm.wustl.edu> a écrit :
> 
> Hey all,
> 
> I’m just getting started with ITK, and I’m using the python bindings, which are really awesome. It looks like it was a fair bit of work to get such a heavily templated library to work in Python, but it’s really nice to be able to build scripts in python!
> 
> I set out to reimplement Slicer’s “Simple Region Growing Segmentation” using ITK-Python, but I keep getting an error when I try to define a ConfidenceConnectedImageFilter template on a 3d float (and double, too). IMG_F == itk.Image[itk.F, 3] elsewhere in the script.
> 
>> Traceback (most recent call last):
>>   File "simple_region_growing_segmentation.py", line 169, in <module>
>>     sys.exit(main(sys.argv))
>>   File "simple_region_growing_segmentation.py", line 154, in main
>>     args.seed)
>>   File "simple_region_growing_segmentation.py", line 98, in attach_connect
>>     ccif = ConfidenceConnectedImageFilter[IMG_F, IMG_F].New()
>>   File "/home/jporter/usr/local/ITK/bin/Wrapping/Generators/Python/itkTemplate.py", line 263, in __getitem__
>>     (str(parameters), self.__name__))
>> KeyError: "itkTemplate : No template (<class 'itkImagePython.itkImageF3'>, <class 'itkImagePython.itkImageF3'>) for the itk::ConfidenceConnectedImageFilter class"
> 
> I’m pretty sure I built the bindings appropriately to get float support:
> 
>> cmake -DITK_USE_REVIEW=ON -DITK_WRAP_PYTHON=ON -DBUILD_SHARED_LIBS=ON -DITK_LEGACY_SILENT=ON -DITK_WRAP_float=ON -DITK_WRAP_rgb_unsigned_char=ON -DITK_WRAP_vector_double=ON -DITK_WRAP_complex_double=ON -DITK_WRAP_double=ON 
> 
> Interestingly, I can build a CurvatureFlowImageFilter or a CastImageFilter templated against 3d floats. I can also instantiate a ConfidenceConnectedImageFilter templated against itk.UC (presumably unsigned char?). That made me think that it’s not possible to build a ConfidenceConnectedImageFilter templated on floats, but the ConfidenceConnected example segmentation script does just that.
> 
> I’d love to hear thought/suggestions as to how I can proceed!
> 
> Cheers,
> Justin
>  
> 
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