def _shape_similarity(self, element1, element2):
"""
Similarity function that compares the bounding boxes of
<element1> and <element2>
Inputs:
element1 (ProjectObject)
element2 (ProjectObject)
Return:
float - bounding box IoU (Equation 1 in SUMO white paper)
"""
# quick intersection test. If bounding boxes don't overlap on any single axis,
# then the enclosed object cannot overlap
bbox1 = element1.posed_bbox
bbox2 = element2.posed_bbox
for axis in range(3):
if (bbox1.min_corner[axis] > bbox2.max_corner[axis]) or \
(bbox2.min_corner[axis] > bbox1.max_corner[axis]):
return 0
box1 = _bbox2pymesh(element1)
box2 = _bbox2pymesh(element2)
inter = pymesh.boolean(box1, box2, operation='intersection')
ivert, ifaces, _ = remove_duplicated_vertices_raw(
inter.vertices, inter.faces)
inter_mesh = pymesh.form_mesh(ivert, ifaces)
# Note: pymesh may give -volume depending on surface normals
# or maybe vertex ordering
intersection = abs(inter_mesh.volume)
union = abs(box1.volume) + abs(box2.volume) - intersection
return intersection / union
def _shape_similarity(self, element1, element2):
"""
Similarity function that compares the bounding boxes of
<element1> and <element2>
Inputs:
element1 (ProjectObject)
element2 (ProjectObject)
Return:
float - bounding box IoU (Equation 1 in SUMO white paper)
"""
box1 = _bbox2pymesh(element1)
box2 = _bbox2pymesh(element2)
inter = pymesh.boolean(box1,
box2,
operation='intersection',
engine='cgal')
ivert, ifaces, _ = remove_duplicated_vertices_raw(
inter.vertices, inter.faces)
inter_mesh = pymesh.form_mesh(ivert, ifaces)
# Note: pymesh may give -volume depending on surface normals
# or maybe vertex ordering
intersection = abs(inter_mesh.volume)
union = abs(box1.volume) + abs(box2.volume) - intersection
return intersection / union
def test_simple_removal(self):
vertices = np.array([
[0.0, 0.0, 0.0],
[0.0, 0.0, 0.0],
[1.0, 0.0, 0.0],
[0.0, 1.0, 0.0],
],
dtype=float)
faces = np.array([[0, 2, 3], [1, 2, 3]], dtype=int)
out_vertices, out_faces, __ = remove_duplicated_vertices_raw(
vertices, faces)
self.assertEqual(3, len(out_vertices))
self.assert_array_equal([[0, 1, 2], [0, 1, 2]], out_faces)
def test_no_removal(self):
vertices = np.array([
[ 0.0, 0.0, 0.0],
[ 1.0, 0.0, 0.0],
[ 0.0, 1.0, 0.0],
], dtype=float)
faces = np.array([
[0, 1, 2],
], dtype=int)
out_vertices, out_faces, __ = remove_duplicated_vertices_raw(
vertices, faces)
self.assert_array_equal(vertices, out_vertices)
self.assert_array_equal(faces, out_faces)
def test_tiny_triangle(self):
vertices = np.array([
[ 0.0, 0.0, 0.0],
[ 0.1, 0.0, 0.0],
[ 0.0, 0.1, 0.0],
], dtype=float)
faces = np.array([
[0, 1, 2],
], dtype=int)
out_vertices, out_faces, __ = remove_duplicated_vertices_raw(
vertices, faces, 1.0)
self.assertEqual(1, len(out_vertices))
self.assert_array_equal([[0, 0, 0]], out_faces)
