Perhaps it's just my misunderstanding, but how do you reuse a pyfftw object?
When I run something like the following code, img1_fft and img2_fft are the same despite receiving different input. When I uncomment the line that reconstructs the fftwObj, I get the desired output though.
inArray = pyfftw.empty_aligned(optimalSize, dtype='complex64')
inArray[ 0:img1.shape[0] , 0:img1.shape[1] ] = img1;
fftwObj = pyfftw.builders.fft2(inArray)
img1_fft = fftwObj(inArray)
inArray = pyfftw.empty_aligned(optimalSize, dtype='complex64')
inArray[ 0:img2.shape[0] , 0:img2.shape[1] ] = img2;
# fftwObj = pyfftw.builders.fft2(inArray)
img2_fft = fftwObj(inArray)
Am I doing something wrong since the whole point of "planning" was to not have to reconstruct pyfftw objects? I would like to just use the same pyfftw object (since all of my images are the same size) and just change the input to the object.
This is by design. There is no copy of the output array except explicitly, so img2_fft is img1_fft returns True.
You can copy the output using .copy(), or you can explicitly set the output array from your own array.