def gen_gaussian_kernel(k_size, sigma):
    center = (k_size // 2)
    (x, y) = mgrid[(0 - center):(k_size - center), (0 - center):(k_size - center)]
    g = ((1 / ((2 * pi) * sigma)) * exp(((- (square(x) + square(y))) / (2 * square(sigma)))))
    return g
def gen_gaussian_kernel(k_size, sigma):
    center = (k_size // 2)
    (x, y) = mgrid[(0 - center):(k_size - center), (0 - center):(k_size - center)]
    g = ((1 / ((2 * pi) * sigma)) * exp(((- (square(x) + square(y))) / (2 * square(sigma)))))
    return g