How to set point cloud as numpy array

[GPrathap]

I wan to write same program using cuposh

  import open3d as o3d
  import numpy as np
  import cupoch as cph

  if __name__ == "__main__":
      # Generate some n x 3 matrix using a variant of sync function.
      x = np.linspace(-3, 3, 201)
      mesh_x, mesh_y = np.meshgrid(x, x)
      z = np.sinc((np.power(mesh_x, 2) + np.power(mesh_y, 2)))
      z_norm = (z - z.min()) / (z.max() - z.min())
      xyz = np.zeros((np.size(mesh_x), 3))
      xyz[:, 0] = np.reshape(mesh_x, -1)
      xyz[:, 1] = np.reshape(mesh_y, -1)
      xyz[:, 2] = np.reshape(z_norm, -1)
      print("Printing numpy array used to make Open3D pointcloud ...")
      print(xyz)

  # Pass xyz to Open3D.o3d.geometry.PointCloud and visualize.
  pcd = o3d.geometry.PointCloud()
  pcd.points = o3d.utility.Vector3dVector(xyz)
  # Add color and estimate normals for better visualization.
  pcd.paint_uniform_color([0.5, 0.5, 0.5])
  pcd.estimate_normals()
  pcd.orient_normals_consistent_tangent_plane(1)
  print("Displaying Open3D pointcloud made using numpy array ...")
  o3d.visualization.draw([pcd])

  # Convert Open3D.o3d.geometry.PointCloud to numpy array.
  xyz_converted = np.asarray(pcd.points)
  print("Printing numpy array made using Open3D pointcloud ...")
  print(xyz_converted)

Seems to cph.utility.Vector3dVector is not defined, could someone explain how can I achieve this?

[neka-nat]

How about using cph.utility.Vector3fVector?

[GPrathap]

Yep it works for me. This library is just awesome.