code: def coords():
      landmarks = np.asarray(
          [
              [32.0, 39.75, 29.25, 23.75, 19.0, 41.0],
              [24.5, 40.0, 28.5, 23.75, 11.0, 37.25],
              [26.25, 40.5, 27.75, 24.25, 12.25, 40.75],
              [34.25, 38.0, 34.25, 21.25, 23.0, 41.0],
              [33.0, 40.25, 31.5, 24.25, 19.5, 40.5],
          ]
      )
      return landmarks
  
file_path: pykale/tests/prepdata/test_image_transform.py
imports: import os
  import matplotlib.figure
  import numpy
  import pytest
  from numpy import testing
  from kale.interpret.visualize import plot_multi_images
  from kale.loaddata.image_access import check_dicom_series_uid, dicom2arraylist, read_dicom_dir
  from kale.prepdata.image_transform import mask_img_stack, normalize_img_stack, reg_img_stack, rescale_img_stack
label_desc: Use image node_id 2 for calling a global function with example usage: coords() and returns: landmarks