由于原始点云中有大量无效的点云数据。发现通过过滤的方式最方便
我的点云数据中Z无效的点云都为-32768 只要过滤掉大于-32768的数据就行
#加载点云数据
ply = o3d.io.read_point_cloud("source/Foam1.ply") # Get the values of the points
points = np.asarray(ply.points)# Filter the points by z-axis value
filtered_points = points[points[:, 2] > -32700]# Create a new point cloud with the filtered points
filtered_pcd = o3d.geometry.PointCloud()
filtered_pcd.points = o3d.utility.Vector3dVector(filtered_points)#pcd = ply.remove_non_finite_points(remove_nan = True, remove_infinite = True)
o3d.visualization.draw_geometries([ filtered_pcd],window_name="filtered_points") 
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LinuxIO基础知识与概念)
