code: def import_image(img_path):
      img = cv2.imread(str(img_path))
      original_image = Image.init_from_channels_at_back(
          img[:, :, -1::-1]
      )
  
      try:
          original_image_lms = mio.import_landmark_file(
              "{}/{}.ljson".format(img_path.parent, img_path.stem)
          ).lms.points.astype(np.float32)
          original_image.landmarks["LJSON"] = PointCloud(
              original_image_lms
          )
      except:
          pass
  
      return original_image
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  import menpo.io
  from menpo.image import Image
  from menpo.shape import PointCloud
  import cv2
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.contrib.framework.python.ops import variables
  from tensorflow.python.training import optimizer
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import variables
  from menpo.transform import Translation, Scale
  from menpo.shape import PointCloud
label_desc: Use image node_id 15 for calling a global function with example usage: import_image(img_path) and returns: original_image