def test_should_not_fail_using_fixed_alpha_enabled_and_float32_dtype(self):
image_data_3_with_multiple_alpha = add_alpha_channel(IMAGE_DATA_3, 0.5)
image_data_3_with_multiple_alpha[0, 0, 3] = 123
combine_images([
IMAGE_DATA_1.astype(np.uint8),
add_alpha_channel(IMAGE_DATA_2, 0.5).astype(np.uint8),
image_data_3_with_multiple_alpha.astype(np.float32)
], fixed_alpha_enabled=True)
def test_should_overlay_multiple_images_with_alpha_on_image_without_alpha(self):
np.testing.assert_allclose(combine_images([
IMAGE_DATA_1,
add_alpha_channel(IMAGE_DATA_2, 0.5),
add_alpha_channel(IMAGE_DATA_3, 0.5)
], fixed_alpha_enabled=True), (
(IMAGE_DATA_1 * 0.5 + IMAGE_DATA_2 * 0.5) * 0.5
+ IMAGE_DATA_3 * 0.5
), rtol=0.1)
def do_filter(self, image_array: ImageArray) -> ImageArray:
assert isinstance(image_array, LazyImageList)
lazy_images = image_array.images
images = list(reversed([
lazy_image.image
for lazy_image in reversed(lazy_images)
]))
with self.context.timer.enter_step(f'{self.filter_id}.combine'):
return combine_images(images)
def test_should_overlay_image_with_alpha_on_image_without_alpha(self):
np.testing.assert_allclose(combine_images([
IMAGE_DATA_1,
add_alpha_channel(IMAGE_DATA_2, 0.5)
]), IMAGE_DATA_1 * 0.5 + IMAGE_DATA_2 * 0.5, rtol=0.1)
def test_should_return_last_image_if_without_alpha(self):
np.testing.assert_allclose(combine_images([
IMAGE_DATA_1,
IMAGE_DATA_2,
IMAGE_DATA_3
]), IMAGE_DATA_3)
def test_should_return_passed_in_image_with_alpha_if_received_single_image(self):
image = add_alpha_channel(IMAGE_DATA_1, 0.5)
np.testing.assert_allclose(combine_images([
image
]), image)
def test_should_return_passed_in_image_if_received_single_image(self):
np.testing.assert_allclose(combine_images([IMAGE_DATA_1]), IMAGE_DATA_1)
def test_should_return_raise_exception_for_empty_list(self):
with pytest.raises(AssertionError):
combine_images([])
