code: def load_16big_png_depth(depth_png: str) -> np.ndarray:
      with Image.open(depth_png) as depth_pil:
          # the image is stored with 16-bit depth but PIL reads it as I (32 bit).
          # we cast it to uint16, then reinterpret as float16, then cast to float32
          depth = (
              np.frombuffer(
                  np.array(depth_pil, dtype=np.uint16), dtype=np.float16
              )
              .astype(np.float32)
              .reshape((depth_pil.size[1], depth_pil.size[0]))
          )
      return depth
  
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 17 for calling a global function with example usage: load_16big_png_depth(depth_png) and returns: depth