IO

image_io.py

27import open3d as o3d
28
29if __name__ == "__main__":
30    img_data = o3d.data.JuneauImage()
31    print(f"Reading image from file: Juneau.jpg stored at {img_data.path}")
32    img = o3d.io.read_image(img_data.path)
33    print(img)
34    print("Saving image to file: copy_of_Juneau.jpg")
35    o3d.io.write_image("copy_of_Juneau.jpg", img)

point_cloud_io.py

27import open3d as o3d
28
29if __name__ == "__main__":
30    pcd_data = o3d.data.PCDPointCloud()
31    print(
32        f"Reading pointcloud from file: fragment.pcd stored at {pcd_data.path}")
33    pcd = o3d.io.read_point_cloud(pcd_data.path)
34    print(pcd)
35    print("Saving pointcloud to file: copy_of_fragment.pcd")
36    o3d.io.write_point_cloud("copy_of_fragment.pcd", pcd)

realsense_io.py

27
28import open3d as o3d
29
30if __name__ == "__main__":
31
32    o3d.t.io.RealSenseSensor.list_devices()
33    rscam = o3d.t.io.RealSenseSensor()
34    rscam.start_capture()
35    print(rscam.get_metadata())
36    for fid in range(5):
37        rgbd_frame = rscam.capture_frame()
38        o3d.io.write_image(f"color{fid:05d}.jpg", rgbd_frame.color.to_legacy())
39        o3d.io.write_image(f"depth{fid:05d}.png", rgbd_frame.depth.to_legacy())
40        print("Frame: {}, time: {}s".format(fid, rscam.get_timestamp() * 1e-6))
41
42    rscam.stop_capture()

triangle_mesh_io.py

27import open3d as o3d
28
29if __name__ == "__main__":
30    knot_data = o3d.data.KnotMesh()
31    print(f"Reading mesh from file: knot.ply stored at {knot_data.path}")
32    mesh = o3d.io.read_triangle_mesh(knot_data.path)
33    print(mesh)
34    print("Saving mesh to file: copy_of_knot.ply")
35    o3d.io.write_triangle_mesh("copy_of_knot.ply", mesh)