code: def compute_resize_scale(image_shape, min_side=800, max_side=1333):
      """Compute an image scale such that the image size is constrained to min_side and max_side.
  
      Args
          min_side: The image's min side will be equal to min_side after resizing.
          max_side: If after resizing the image's max side is above max_side, resize until the max side is equal to max_side.
  
      Returns
          A resizing scale.
      """
      (rows, cols, _) = image_shape
  
      smallest_side = min(rows, cols)
  
      # rescale the image so the smallest side is min_side
      scale = min_side / smallest_side
  
      # check if the largest side is now greater than max_side, which can happen
      # when images have a large aspect ratio
      largest_side = max(rows, cols)
      if largest_side * scale > max_side:
          scale = max_side / largest_side
  
      return scale
  
imports: from __future__ import division
  import numpy
  import cv2
  from PIL import Image
  from .transform import change_transform_origin
label_desc: Use image node_id 5 for calling a global function with example usage: compute_resize_scale(image_shape, min_side, max_side) and returns: scale