code: def read_depth_image(path: str | Path) -> np.ndarray:
      """Read tiff depth image from disk.
  
      Args:
          path (str, Path): path to the image file
  
      Example:
          >>> image = read_depth_image("test_image.tiff")
  
      Returns:
          image as numpy array
      """
      path = path if isinstance(path, str) else str(path)
      image = tiff.imread(path)
  
      return image
  
file_path: anomalib/src/anomalib/data/utils/image.py
imports: from __future__ import annotations
  import math
  import warnings
  from pathlib import Path
  import cv2
  import numpy
  import tifffile
  import torch.nn.functional
  from torch import Tensor
  from torchvision.datasets.folder import IMG_EXTENSIONS
label_desc: Use image node_id 6 for calling a global function with example usage: read_depth_image(path) and returns: image