def test_apply_transformation_to_image(self):
counter = 0
self.image_transformer.modified_image = self.image_transformer.create_new_image(
)
for original_face_idx, original_face in self.image_transformer.original_face_to_vts.items(
):
original_image_points, modified_image_points = self.image_transformer.get_all_image_points(
original_face_idx)
matrix_computer = MatrixComputer(original_image_points,
modified_image_points)
sections = matrix_computer.get_transforming_triangles()
matrices = matrix_computer.get_transformations(sections)
for triangles, matrix in zip(sections, matrices):
source_triangle, destination_triangle = triangles
self.image_transformer.apply_transformation_to_image(
source_triangle, destination_triangle, matrix)
filename = self.get_apply_transformation_filename(counter)
self.image_transformer.modified_image.save(filename)
counter += 1
for step_number in self.transformations:
expected = self.get_expected_applied_filename(step_number)
actual = self.get_apply_transformation_filename(step_number)
self.assertTrue(
self.image_equal(expected, actual),
"transformation_" + str(step_number) + ".pngs are not equal ")
self.teardown_apply_transformation_to_image()
def setUp(self):
#the points are picked because they're a simple translation
source_pts = [(0.0, 0.0), (1.0, 0.0), (1.0, 1.0), (0.0, 1.0)]
destination_pts = [(1.0, 0.0), (2.0, 0.0), (2.0, 1.0), (1.0, 1.0)]
self.computer = MatrixComputer(source_pts, destination_pts)
