Hi,
I'm doing some image processing using PIL and SciPy. Individual images are
2000x2000 pixels with each pixel being 16 bits, so a single image is around 7
MB in size.
I've noticed that while my code is running the amount of memory being used (as
reported by Windows Task Manager) by Python gradually increases. It continues
to increase if I re-run the same code again from within iPython (everytime I
re-run the code the memory used increases by about 300 MB). So after
re-running the code several times (while debugging and/or developing) I will
eventually get a memory exception (<type 'exceptions.MemoryError'>).
Does this mean I've somehow created a memory leak? From what I've read, in
Python 2.X creating a memory leak is a hard thing to do. Perhaps I'm just
doing a terrible job of coding and am constantly creating new things that take
up memory???
My basic code structure is below. Anyone has any suggestions on how to improve
the efficiency of my code or to debug this problem?
Thank you in advance,
Keith
def function1(filename):
image1=im2array(filename)
#im2array is a function I wrote to open a tiff image as a scipy array
#average the 2000x2000 2d array into a single 2000x1 1d array
# perform some scaling on the 2000x1 1d array
#take the FFT of the 2000x1 1d array
result=[fftpeak, fftmaxamplitude] #output is just two float values
return result
filenames=['file1.tif','file2.tif',...] #about 40 image filenames in this list
results=[]
for ind in xrange(0,len(filenames):
results.append(function1(filenames[ind]))
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