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