Import Polygonal Mesh from Arrays
This example shows how to import a Polygonal Mesh from values stored in numpy arrays, and then insert the mesh in the MeshSet.
This script can be executed by running the following command:
pytest --pyargs pymeshlab -k 'import_poly_mesh_from_arrays'
tests/example_import_poly_mesh_from_arrays.py
import pymeshlab
import numpy
def example_import_poly_mesh_from_arrays():
# lines needed to run this specific example
print('\n')
from . import samples_common
output_path = samples_common.test_output_path()
# create a numpy 8x3 array of vertices
# columns are the coordinates (x, y, z)
# every row represents a vertex
verts = numpy.array([
[-0.5, -0.5, -0.5],
[0.5, -0.5, -0.5],
[-0.5, 0.5, -0.5],
[0.5, 0.5, -0.5],
[-0.5, -0.5, 0.5],
[0.5, -0.5, 0.5],
[-0.5, 0.5, 0.5],
[0.5, 0.5, 0.5]])
# create a list of 6 polygonal faces
# every row represents a face (quads in this case)
# faces do not need to have all the same number of vertex indices
faces = [
[0, 2, 3, 1],
[0, 4, 6, 2],
[0, 1, 5, 4],
[7, 6, 4, 5],
[7, 3, 2, 6],
[7, 5, 1, 3]]
# create a new Mesh with the two arrays
m = pymeshlab.Mesh(verts, faces)
assert m.vertex_number() == 8
# number of faces of the mesh remains 12, since meshes in meshlab are stored as triangle meshes
# with faux edges
assert m.face_number() == 12
# when creating a mesh from a polymesh, a custom per face scalar attribute is added to the newly created mesh
# storing the birth polygon faces for each triangle
# get the birth polygon for each face of the mesh
birth_faces = m.face_custom_scalar_attribute_array('poly_birth_faces')
print(birth_faces)
# the birth face of triangle with id 5 is 2
assert(birth_faces[5] == 2)
# create a new MeshSet
ms = pymeshlab.MeshSet()
# add the mesh to the MeshSet (note: ms contains a *copy* of m)
ms.add_mesh(m, "cube_mesh")
# save the current mesh
# obj format in meshlab supports saving polygonal meshes
ms.save_current_mesh(output_path + "saved_polygonal_cube_from_array.obj")