code: def get_clamp_bbox(
      bbox: torch.Tensor,
      box_crop_context: float = 0.0,
      image_path: str = "",
  ) -> torch.Tensor:
      # box_crop_context: rate of expansion for bbox
      # returns possibly expanded bbox xyxy as float
  
      bbox = bbox.clone()  # do not edit bbox in place
  
      # increase box size
      if box_crop_context > 0.0:
          c = box_crop_context
          bbox = bbox.float()
          bbox[0] -= bbox[2] * c / 2
          bbox[1] -= bbox[3] * c / 2
          bbox[2] += bbox[2] * c
          bbox[3] += bbox[3] * c
  
      if (bbox[2:] <= 1.0).any():
          raise ValueError(
              f"squashed image {image_path}!! The bounding box contains no pixels."
          )
  
      bbox[2:] = torch.clamp(
          bbox[2:], 2
      )  # set min height, width to 2 along both axes
      bbox_xyxy = bbox_xywh_to_xyxy(bbox, clamp_size=2)
  
      return bbox_xyxy
  
imports: import functools
  import warnings
  from pathlib import Path
  from typing import List, Optional, Tuple, TypeVar, Union
  import numpy
  import torch
  from PIL import Image
  from pytorch3d.io import IO
  from pytorch3d.renderer.cameras import PerspectiveCameras
  from pytorch3d.structures.pointclouds import Pointclouds
label_desc: Use image node_id 8 for calling a global function with example usage: get_clamp_bbox(bbox, box_crop_context, image_path) and returns: bbox_xyxy