code: def read_yolo_label_file(
      filepath: str, padding: float, separator: str = " "
  ) -> Tuple[List[int], List[BoundingBox]]:
      """Reads a file in the yolo file format
  
      Args:
          filepath:
              The path to the yolo file, usually a .txt file.
          padding:
              The relative passepartout / padding to be added around the bounding box
          separator:
              The separator character between the 5 values (class id, x, y, w, h) per row in the label file.
  
      Returns:
          Two lists, each with one element per row in the label file:
              The class indices.
              The bounding boxes.
  
      """
      with open(filepath, "r") as f:
          lines = f.readlines()
  
      class_indices = []
      bounding_boxes = []
      for line in lines:
          values = line.split(sep=separator)
          class_id, x_norm, y_norm, w_norm, h_norm = (
              float(val) for val in values
          )
          class_id = int(class_id)
          class_indices.append(class_id)
  
          w_norm *= 1 + padding
          h_norm *= 1 + padding
          bbox = BoundingBox.from_yolo_label(
              x_norm, y_norm, w_norm, h_norm
          )
          bounding_boxes.append(bbox)
      return class_indices, bounding_boxes
  
label_desc: Use image node_id 1 for calling a global function with example usage: read_yolo_label_file(filepath, padding, separator) and returns: class_indices,  bounding_boxes