class_docstr: 3D Keypoints containing Nx3 or BxNx3 points.
  
  Args:
      keypoints: Raw tensor or a list of Tensors with the Nx3 coordinates
      raise_if_not_floating_point: will raise if the Tensor isn't float
docstr: Pad a bounding keypoints.
  
  Args:
      padding_size: (B, 6)
docstr_tok: ["Pad","a","bounding","keypoints",".","Args",":","padding_size",":","(","B",",","6",")"]
code: def unpad(self, padding_size: Tensor) -> "Keypoints3D":
      """Pad a bounding keypoints.
  
      Args:
          padding_size: (B, 6)
      """
      raise NotImplementedError
  
imports: from typing import List, Optional, Tuple, Union, cast
  import torch
  from torch import Size
  from kornia.core import Tensor
  from kornia.geometry import transform_points
label_desc: Use image node_id 7 for calling the Keypoints3D obj's underlying member method code with example usage: obj.unpad(padding_size) without return types