Ejemplo n.º 1
0
    def test_create_noisy_image_and_verify_that_width_height_match_expected(self):
        expected_width=100
        expected_height=200
        actual_image:np.ndarray=Util.generate_noisy_image(width=expected_width, height=expected_height, salt_pepper=0.5)

        actual_width=actual_image.shape[1]
        actual_height=actual_image.shape[0]

        #Asserts
        self.assertEquals(len(actual_image.shape),3)
        self.assertEquals(actual_width, expected_width)
        self.assertEquals(actual_height, expected_height)
Ejemplo n.º 2
0
    def test_create_noisy_image_verify_that_count_of_black_pixels_matches_expected_saltpepper_ration(self):
        expected_width=500
        expected_height=500
        expected_saltpepper=0.5
        actual_image:np.ndarray=Util.generate_noisy_image(width=expected_width, height=expected_height, salt_pepper=expected_saltpepper)
        all_white_indices=np.where(actual_image == Util.WHITE_COLOR)
        count_of_white=len(all_white_indices[0])

        all_black_indices=np.where(actual_image == Util.BLACK_COLOR)
        count_of_black=len(all_black_indices[0])
        actual_saltpepper=count_of_white/(count_of_black+count_of_white)
        self.assertEqual(expected_height*expected_width, (count_of_white+count_of_black),msg="The total count of white+black should be total pixels in the picture")
        self.assertAlmostEquals(actual_saltpepper, expected_saltpepper,delta=0.1,msg="The salt peper ratios should match approximately")