code: def scale_boxes(size, boxes, height, width):
      """
      Scale the short side of the box to size.
      Args:
          size (int): size to scale the image.
          boxes (ndarray): bounding boxes to peform scale. The dimension is
          `num boxes` x 4.
          height (int): the height of the image.
          width (int): the width of the image.
      Returns:
          boxes (ndarray): scaled bounding boxes.
      """
      if (width <= height and width == size) or (
          height <= width and height == size
      ):
          return boxes
  
      new_width = size
      new_height = size
      if width < height:
          new_height = int(math.floor((float(height) / width) * size))
          boxes *= float(new_height) / height
      else:
          new_width = int(math.floor((float(width) / height) * size))
          boxes *= float(new_width) / width
      return boxes
  
imports: import math
  import numpy
  import cv2
label_desc: Use image node_id 4 for calling a global function with example usage: scale_boxes(size, boxes, height, width) and returns: boxes, boxes