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import cv2
import numpy as np

# ksize  = 31
ksize  = 11
center = ksize // 2
# sigma  = ksize / 3 / 2 / 1.6627
sigma  = 5
A = np.zeros((ksize, ksize), dtype=float)

for y in range(ksize):
    for x in range(ksize):
        distX = x - center
        distY = y - center
        dist  = np.sqrt(distX*distX + distY*distY)
        v     = np.exp(-dist / (2*sigma*sigma))
        A[y, x] = v

minV = np.min(A[:])
maxV = np.max(A[:])
print(minV, maxV, maxV/minV)

A = cv2.resize(A, (256, 256))

cv2.imshow('img', A)
cv2.waitKey()