def test_wrong_parameters_2(): image = numpy.zeros((25, 25, 3), dtype=numpy.uint8) try: mean_shift_binarization(image, None) except Exception, e: assert e.message == 'mean should be a numpy.ndarray' assert type(e) == TypeError
def test_wrong_parameters_6(): image = numpy.zeros((25, 25, 3), dtype=numpy.uint8) mean_image = numpy.zeros((10, 10, 3), dtype=numpy.uint8) try: mean_shift_binarization(image, mean_image) except Exception, e: assert e.message == 'image and mean must have equal sizes' assert type(e) == ValueError
def test_wrong_parameters_5(): image = numpy.zeros((25, 25, 3), dtype=numpy.uint8) mean_image = numpy.zeros((25, 25), dtype=numpy.uint8) try: mean_shift_binarization(image, mean_image) except Exception, e: assert e.message == 'mean should be 3D array' assert type(e) == ValueError
def test_simply_working_1(): images = list() img_1 = numpy.ones((25, 25, 3), numpy.uint8) images.append(img_1) images.append(numpy.zeros((25, 25, 3), numpy.uint8)) mean_image = get_mean_image(images) image = mean_shift_binarization(img_1, mean_image) assert numpy.count_nonzero(image) == 0 assert mean_image.shape == (25, 25, 3) assert mean_image.ndim == 3 assert numpy.count_nonzero(mean_image) == 0