¡@

Home 

python Programming Glossary: fftconvolve

FFT-based 2D convolution and correlation in Python

http://stackoverflow.com/questions/1100100/fft-based-2d-convolution-and-correlation-in-python

fft share improve this question I found scipy.signal.fftconvolve as also pointed out by magnus but didn't realize at the time.. 2 b asarray 1 2 1 ... 0 0 0 ... 1 2 1 In 3 scipy.signal.fftconvolve a b mode 'same' Out 3 array 13. 20. 17. 18. 24. 18. 13. 20... 1 2 etc. So I changed my accepted answer to the built in fftconvolve function. Correlation of course is the same thing as convolution..

Comparing image in url to image in filesystem in python

http://stackoverflow.com/questions/13875989/comparing-image-in-url-to-image-in-filesystem-in-python

the following code import numpy from scipy.signal import fftconvolve def ssim im1 im2 window k 0.01 0.03 l 255 See https ece.uwaterloo.ca.. c1 k 0 l 2 c2 k 1 l 2 window window numpy.sum window mu1 fftconvolve im1 window mode 'valid' mu2 fftconvolve im2 window mode 'valid'.. window mu1 fftconvolve im1 window mode 'valid' mu2 fftconvolve im2 window mode 'valid' mu1_sq mu1 mu1 mu2_sq mu2 mu2 mu1_mu2..

Convolution of two three dimensional arrays with padding on one side too slow

http://stackoverflow.com/questions/14786920/convolution-of-two-three-dimensional-arrays-with-padding-on-one-side-too-slow

slow and not usable. My second version was C scipy.signal.fftconvolve A B mode full But this computes only the elements max dimA dimB.. regardless of how fast it is implemented. In my tests the fftconvolve method crosses over to be faster around N 20 and by N 32 is.. import matplotlib.pyplot as plt from scipy.signal import fftconvolve from numba import jit double # Numba'ing the function with the..

Fastest 2D convolution or image filter in Python

http://stackoverflow.com/questions/5710842/fastest-2d-convolution-or-image-filter-in-python

t This takes 6.9 sec on my machine... Compare this with fftconvolve t timeit.timeit stmt signal.fftconvolve x y mode 'same' number.. Compare this with fftconvolve t timeit.timeit stmt signal.fftconvolve x y mode 'same' number 1 setup import numpy as np from scipy..