open3d.utility.Vector3dVector¶
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class
open3d.utility.
Vector3dVector
¶ Convert float64 numpy array of shape
(n, 3)
to Open3D format.Example usage
import open3d import numpy as np pcd = open3d.geometry.PointCloud() np_points = np.random.rand(100, 3) # From numpy to Open3D pcd.points = open3d.utility.Vector3dVector(np_points) # From Open3D to numpy np_points = np.asarray(pcd.points)
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__init__
(*args, **kwargs)¶ Overloaded function.
__init__(self: open3d.cpu.pybind.utility.Vector3dVector) -> None
__init__(self: open3d.cpu.pybind.utility.Vector3dVector, arg0: numpy.ndarray[numpy.float64]) -> None
__init__(self: open3d.cpu.pybind.utility.Vector3dVector, arg0: open3d.cpu.pybind.utility.Vector3dVector) -> None
Copy constructor
__init__(self: open3d.cpu.pybind.utility.Vector3dVector, arg0: Iterable) -> None
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append
(self: open3d.cpu.pybind.utility.Vector3dVector, x: numpy.ndarray[numpy.float64[3, 1]]) → None¶ Add an item to the end of the list
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clear
(self: open3d.cpu.pybind.utility.Vector3dVector) → None¶ Clear the contents
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count
(self: open3d.cpu.pybind.utility.Vector3dVector, x: numpy.ndarray[numpy.float64[3, 1]]) → int¶ Return the number of times
x
appears in the list
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extend
(*args, **kwargs)¶ Overloaded function.
extend(self: open3d.cpu.pybind.utility.Vector3dVector, L: open3d.cpu.pybind.utility.Vector3dVector) -> None
Extend the list by appending all the items in the given list
extend(self: open3d.cpu.pybind.utility.Vector3dVector, L: Iterable) -> None
Extend the list by appending all the items in the given list
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insert
(self: open3d.cpu.pybind.utility.Vector3dVector, i: int, x: numpy.ndarray[numpy.float64[3, 1]]) → None¶ Insert an item at a given position.
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pop
(*args, **kwargs)¶ Overloaded function.
pop(self: open3d.cpu.pybind.utility.Vector3dVector) -> numpy.ndarray[numpy.float64[3, 1]]
Remove and return the last item
pop(self: open3d.cpu.pybind.utility.Vector3dVector, i: int) -> numpy.ndarray[numpy.float64[3, 1]]
Remove and return the item at index
i
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remove
(self: open3d.cpu.pybind.utility.Vector3dVector, x: numpy.ndarray[numpy.float64[3, 1]]) → None¶ Remove the first item from the list whose value is x. It is an error if there is no such item.
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