def example_apply_filter_parameters_percentage():
# lines needed to run this specific example
print('\n')
from . import samples_common
base_path = samples_common.samples_absolute_path()
output_path = samples_common.test_output_path()
# create a new MeshSet
ms = pymeshlab.MeshSet()
ms.load_new_mesh(base_path + "rangemaps/face000.ply")
assert ms.number_meshes() == 1
assert ms.current_mesh().face_number() == 166259
# create a new object of type Percentage, with value 50%
p = pymeshlab.Percentage(50)
# apply the filter that will remove connected components having diameter less than 50%
# of the diameter of the entire mesh
ms.apply_filter('remove_isolated_pieces_wrt_diameter', mincomponentdiag=p)
assert ms.current_mesh().face_number() == 161606
ms.save_current_mesh(output_path + 'face000_clean_by_diameter.ply')
def test_remove_isolated_pieces_diameter():
print('\n')
base_path = samples_common.samples_absolute_path()
output_path = samples_common.test_output_path()
ms = ml.MeshSet()
ms.load_new_mesh(base_path + "rangemaps/face000.ply")
assert ms.number_meshes() == 1
assert ms.current_mesh().face_number() == 166259
p = ml.Percentage(50)
ms.apply_filter('remove_isolated_pieces_wrt_diameter', mincomponentdiag=p)
assert ms.current_mesh().face_number() == 161606
ms.save_current_mesh(output_path + 'face000_clean_by_diameter.ply')
"""pymeshlab interoperability example:
Surface reconstruction by ball pivoting"""
import pymeshlab, vedo
pts = vedo.Mesh(vedo.dataurl + 'cow.vtk').points() # numpy array of vertices
m = pymeshlab.Mesh(vertex_matrix=pts)
ms = pymeshlab.MeshSet()
ms.add_mesh(m)
p = pymeshlab.Percentage(2)
ms.surface_reconstruction_ball_pivoting(ballradius=p)
# ms.compute_normals_for_point_sets()
mlab_mesh = ms.current_mesh()
reco_mesh = vedo.Mesh(mlab_mesh).computeNormals().flat().backColor('t')
vedo.show(
__doc__,
vedo.Points(pts),
reco_mesh,
axes=True,
bg2='blue9',
title="vedo + pymeshlab",
)
################################################################################
# Full list of filters, https://pymeshlab.readthedocs.io/en/latest/filter_list.html
#
# MeshLab offers plenty of useful filters, among which: