[Insight-users] itk.PyBuffer memory leak

[Rick Giuly]

I've now tested invoking garbage collection with gc.collect() at every 
iteration and that didn't change the problem. So, my best guess would be 
that the image is not deleted when the python object is destroyed. Maybe 
a bug?


Gaëtan Lehmann wrote:
> 
> Hi Rick,
> 
> GetImageFromArray() returns a smart pointer to an image, so the image 
> should be deallocated once the python object is destroyed.
> Perhaps the problem is there: the garbage collection my not run fast 
> enough.
> 
> The right way to go may be to implement PyBuffer as a filter which reuse 
> the output image, as all the filters in itk.
> 
> For the Delete() method: you shouldn't use it in python (and I can't see 
> any case for use it but the internal memory management in c++). In the 
> latest version of wrapitk (the one hosted at googlecode), Delete() and 
> the other methods related to smart pointers are hidden.
> 
> Regards,
> 
> Gaëtan
> 
> 
> 
> Le 11 mai 09 à 05:43, Rick Giuly a écrit :
> 
>>
>> Hello All,
>>
>> It seems that converter.GetImageFromArray(inputNumpyVolume) allocates 
>> memory in some way and never releases it. When I tried using Delete() 
>> the program actually crashed silently after one iteration.
>>
>> Test code is below. (I'm running this on ubuntu, and the itk package 
>> is from Paul Novo's site.)
>>
>> Is there some way to release memory?
>>
>>
>>
>> import itk
>> import numpy
>>
>> for i in range(10000):
>>
>>    print i
>>
>>    ImageType = itk.Image[itk.F, 3]
>>    converter = itk.PyBuffer[ImageType]
>>
>>    inputNumpyVolume = numpy.ones((100, 100, 200))
>>    inputVolume = converter.GetImageFromArray(inputNumpyVolume)
>>    #inputVolume.Delete()
>>
>>
>>
>> ----------
>> Thanks,
>> --Rick
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>