def triangulate_face(data):
"""Determines the triangulation of the face of a shape.
Parameters
----------
data : np.ndarray
Nx2 array of vertices of shape to be triangulated
Returns
-------
vertices : np.ndarray
Mx2 array vertices of the triangles.
triangles : np.ndarray
Px3 array of the indices of the vertices that will form the
triangles of the triangulation
"""
if triangulate is not None:
len_data = len(data)
edges = np.empty((len_data, 2), dtype=np.uint32)
edges[:, 0] = np.arange(len_data)
edges[:, 1] = np.arange(1, len_data + 1)
# connect last with first vertex
edges[-1, 1] = 0
res = triangulate(dict(vertices=data, segments=edges), "p")
vertices, triangles = res['vertices'], res['triangles']
else:
vertices, triangles = PolygonData(vertices=data).triangulate()
triangles = triangles.astype(np.uint32)
return vertices, triangles
def triangulate_face(data):
"""Determines the triangulation of the face of a shape.
Parameters
----------
data : np.ndarray
Nx2 array of vertices of shape to be triangulated
Returns
-------
vertices : np.ndarray
Mx2 array vertices of the trinagles.
triangles : np.ndarray
Px3 array of the indices of the vertices that will form the
triangles of the triangulation
"""
vertices, triangles = PolygonData(vertices=data).triangulate()
triangles = triangles.astype(np.uint32)
return vertices, triangles