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import numpy as np | |
import open3d as o3d | |
#get point cloud data | |
armadillo = o3d.data.ArmadilloMesh() | |
mesh = o3d.io.read_triangle_mesh(armadillo.path) | |
N = 2000 #point | |
pcd = mesh.sample_points_poisson_disk(N) | |
# fit to unit cube | |
pcd.scale(1 / np.max(pcd.get_max_bound() - pcd.get_min_bound()), | |
center=pcd.get_center()) | |
pcd.colors = o3d.utility.Vector3dVector(np.random.uniform(0, 1, size=(N, 3))) | |
o3d.visualization.draw_geometries([pcd]) | |
#convert to voxel | |
voxel_grid = o3d.geometry.VoxelGrid.create_from_point_cloud(pcd, | |
voxel_size=0.05) | |
o3d.visualization.draw_geometries([voxel_grid]) |
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