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()
class MatrixComputerTest(unittest.TestCase):
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)
def test_get_transforming_triangles(self):
results = self.computer.get_transforming_triangles()
expected_results = [([(0.0, 0.0),
(1.0, 0.0), (1.0, 1.0)], [(1.0, 0.0), (2.0, 0.0),
(2.0, 1.0)]),
([(1.0, 1.0),
(0.0, 1.0), (0.0, 0.0)], [(2.0, 1.0), (1.0, 1.0),
(1.0, 0.0)])]
assert results == expected_results
assert len(results) == 2
def test_compute_transformation_matrix(self):
source_point = ((0.0, 0.0), (1.0, 0.0), (1.0, 1.0))
destination_point = ((1.0, 0.0), (2.0, 0.0), (2.0, 1.0))
result = self.computer.compute_transformation_matrix(
source_point, destination_point)
#the transformation maxtrix should be a column matrix:
# [1.0
# 0
# -1.0
# 0
# 1.0
# 0]
assert result[0] == 1.0
assert result[1] == 0.0
assert result[2] == -1.0
assert result[3] == 0
assert result[4] == 1.0
assert result[5] == 0
def test_get_transformations(self):
transforming_triangles = [([(0.0, 0.0), (1.0, 0.0),
(1.0, 1.0)], [(1.0, 0.0), (2.0, 0.0),
(2.0, 1.0)]),
([(1.0, 1.0), (0.0, 1.0),
(0.0, 0.0)], [(2.0, 1.0), (1.0, 1.0),
(1.0, 0.0)])]
transformations = self.computer.get_transformations(
transforming_triangles)
assert len(transforming_triangles) == len(transformations)
class MatrixComputerTest(unittest.TestCase):
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)
def test_get_transforming_triangles(self):
results = self.computer.get_transforming_triangles()
expected_results = [
([(0.0, 0.0), (1.0, 0.0), (1.0, 1.0)], [(1.0, 0.0), (2.0, 0.0), (2.0, 1.0)]),
([(1.0, 1.0), (0.0, 1.0), (0.0, 0.0)], [(2.0, 1.0), (1.0, 1.0), (1.0, 0.0)]),
]
assert results == expected_results
assert len(results) == 2
def test_compute_transformation_matrix(self):
source_point = ((0.0, 0.0), (1.0, 0.0), (1.0, 1.0))
destination_point = ((1.0, 0.0), (2.0, 0.0), (2.0, 1.0))
result = self.computer.compute_transformation_matrix(source_point, destination_point)
# the transformation maxtrix should be a column matrix:
# [1.0
# 0
# -1.0
# 0
# 1.0
# 0]
assert result[0] == 1.0
assert result[1] == 0.0
assert result[2] == -1.0
assert result[3] == 0
assert result[4] == 1.0
assert result[5] == 0
def test_get_transformations(self):
transforming_triangles = [
([(0.0, 0.0), (1.0, 0.0), (1.0, 1.0)], [(1.0, 0.0), (2.0, 0.0), (2.0, 1.0)]),
([(1.0, 1.0), (0.0, 1.0), (0.0, 0.0)], [(2.0, 1.0), (1.0, 1.0), (1.0, 0.0)]),
]
transformations = self.computer.get_transformations(transforming_triangles)
assert len(transforming_triangles) == len(transformations)
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)
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)
