code: def load_depth(path: types.PathType) -> np.ndarray:
      depth = load_image(path)
      if depth.dtype != np.uint16:
          raise ValueError("Depth image must be of type uint16.")
      return image_to_float32(depth) * 1000.0
  
imports: import math
  from typing import Tuple
  from absl import logging
  import cv2
  import imageio
  import numpy
  from PIL import Image
  from nerfies import gpath
  from nerfies import types
label_desc: Use image node_id 13 for calling a global function with example usage: load_depth(path) and returns: unknown