def get_tet_orientations(mesh):
""" A thin wrapper of ``get_tet_orientations_raw``.
"""
if mesh.num_voxels == 0:
return np.zeros(0)
if mesh.vertex_per_voxel != 4:
raise NotImplementedError("Orientation computation expect a tet mesh.")
return PyMesh.get_tet_orientations(mesh.vertices, mesh.voxels)
def get_tet_orientations(mesh):
""" A thin wrapper of ``get_tet_orientations_raw``.
"""
if mesh.num_voxels == 0:
return np.zeros(0);
if mesh.vertex_per_voxel != 4:
raise NotImplementedError("Distortion computation expect a tet mesh.");
return PyMesh.get_tet_orientations(mesh.vertices, mesh.voxels);
def get_tet_orientations_raw(vertices, tets):
""" Compute orientation of each tet.
Args:
vertice (``numpy.ndarray``): n by 3 matrix representing vertices.
tets (``numpy.ndarray``): m by 4 matrix of vertex indices representing tets.
Returns:
A list of m floats, where
* Positive number => tet is positively oriented.
* 0 => tet is degenerate.
* Negative number => tet is inverted.
"""
return PyMesh.get_tet_orientations(vertices, tets)
def get_tet_orientations_raw(vertices, tets):
""" Compute orientation of each tet.
Args:
vertice (``numpy.ndarray``): n by 3 matrix representing vertices.
tets (``numpy.ndarray``): m by 4 matrix of vertex indices representing tets.
Returns:
A list of m floats, where
* Positive number => tet is positively oriented.
* 0 => tet is degenerate.
* Negative number => tet is inverted.
"""
return PyMesh.get_tet_orientations(vertices, tets);
