import cv2

import numpy

import math

sigma = 3.

theta = 0.

lambd = math.pi/2

gamma = 1.

psi = math.pi/2

image = numpy.zeros((100,100,3), numpy.uint8)

for i in range(1,15):

        dim = (i,i)

        kernel = cv2.getGaborKernel(ksize=dim, sigma=sigma, theta=theta, lambd=lambd, gamma=gamma, psi=psi)

        onekernel = numpy.ones((100,100,1), numpy.uint8)

        print("size : %s" % (dim,))

        print("ones")

        cv2.filter2D(src=image, ddepth = -1, kernel=onekernel)

        print("gabor")

        cv2.filter2D(src=image, ddepth = -1, kernel=kernel)

        print("Success.")