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TypeError: 'numpy.ndarray' object is not callable

I found that in your implementation of interp (in the multirate module), if you use filtfilt instead of lfilter, and don't cut off the results (ie. with [r*l+1:-1]) the result is much closer to that produced by MATLAB's interp. In particular, it's closer to meeting the constraint that existing points are preserved.

Hi,
when I run your ssim.py example, I get the following error message:

/usr/bin/python2.7 /home/<user>/PycharmProjects/python-ssim/signal_processing/sp/ssim.py
Traceback (most recent call last):
  File "/home/<user>/PycharmProjects/python-ssim/signal_processing/sp/ssim.py", line 110, in <module>
    sys.exit(main())
  File "/home/<user>/PycharmProjects/python-ssim/signal_processing/sp/ssim.py", line 92, in main
    ssim_map = ssim(img1, img2)
  File "/home/<user>/PycharmProjects/python-ssim/signal_processing/sp/ssim.py", line 34, in ssim
    mu1 = signal.fftconvolve(window, img1, mode='valid')
  File "/usr/lib/python2.7/dist-packages/scipy/signal/signaltools.py", line 345, in fftconvolve
    raise ValueError("in1 and in2 should have the same dimensionality")
ValueError: in1 and in2 should have the same dimensionality

Inside the ssim() method, you are passing the image and a window to the fftconvolve function:

mu1 = signal.fftconvolve(window, img1 mode='valid')

It looks like that img1 and window is swapped, because the 1st param is to be expected to be of the same dimension, or of larger size, accoring to the fftconvolve-docs:

in1 : array_like
First input.
in2 : array_like
Second input. Should have the same number of dimensions as in1; if sizes of in1 and in2 are not
equal then in1 has to be the larger array.

But when I try to exchange the window and img params, the ssim() method returns a huge matric (just a bit smaller than the image, due to the VALID padding). I think it should return a scalar representing the metric index, right?

nice library
testing resample with short inputs and checking sample alignment, the output is shifted by one sample.

one fix is: offset = numpy.floor((l+nz_pre)/q) - 1

can you tell me how i can install module gauss
i cannot find a reference

I'd like to display the qr code as a normal looking image for a user to scan with his/her phone. Is there a method to convert the QRcode object data to a PNG or PIL image for this purpose?