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python Programming Glossary: scipy.signalCounting of adjacent cells in a numpy array http://stackoverflow.com/questions/12612663/counting-of-adjacent-cells-in-a-numpy-array Use a convolution to count neighbours import numpy import scipy.signal a numpy.zeros 6 6 dtype numpy.int # Example array a 2 4 2 4.. a 2 4 2 4 1 a 2 4 1 # with example value structure b 1 a c scipy.signal.convolve2d b numpy.ones 3 3 mode 'same' print numpy.sum c a..
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 metrics consider the following code import numpy from scipy.signal import fftconvolve def ssim im1 im2 window k 0.01 0.03 l 255.. rmse max_val min_val if __name__ __main__ import sys from scipy.signal import gaussian from PIL import Image img1 Image.open sys.argv..
moving average function on numpy/scipy? [closed] http://stackoverflow.com/questions/14313510/moving-average-function-on-numpy-scipy you are after is in at least one of the SciPy subpackages scipy.signal perhaps however i would look first in the collection of SciPy..
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 is really slow and not usable. My second version was C scipy.signal.fftconvolve A B mode full But this computes only the elements.. import numpy as np import matplotlib.pyplot as plt from scipy.signal import fftconvolve from numba import jit double # Numba'ing..
http://stackoverflow.com/questions/2196693/improving-numpy-performance like the snippet below import numpy import scipy import scipy.signal import timeit a numpy.array range 1000000 a.reshape 1000 1000.. numpy.array 1 1 1 1 8 1 1 1 1 def convolve global a filt scipy.signal.convolve2d a filt mode same t timeit.Timer convolve from __main__..
2d convolution using python and numpy http://stackoverflow.com/questions/2448015/2d-convolution-using-python-and-numpy should simply use the sepfir2d function from scipy from scipy.signal import sepfir2d convolved sepfir2d data H_r H_c On the other..
http://stackoverflow.com/questions/3775912/fourier-space-filtering my filtered x in python I would do import numpy as np from scipy.signal import fft ifft y np.real np.ifft np.fft x h Since the conditions..
Convolution computations in Numpy/Scipy http://stackoverflow.com/questions/6855169/convolution-computations-in-numpy-scipy check this import numpy as np import scipy as sp import scipy.signal N 4680 C 6 def mix1 signal1 signal2 spec1 np.fft.fft signal1..
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