code: def visualize_vehicleplate(im, results, boxes=None):
      if isinstance(im, str):
          im = Image.open(im)
          im = np.ascontiguousarray(np.copy(im))
          im = cv2.cvtColor(im, cv2.COLOR_RGB2BGR)
      else:
          im = np.ascontiguousarray(np.copy(im))
  
      im_h, im_w = im.shape[:2]
      text_scale = max(1.0, im.shape[0] / 400.0)
      text_thickness = 2
  
      line_inter = im.shape[0] / 40.0
      for i, res in enumerate(results):
          if boxes is None:
              text_w = 3
              text_h = 1
          else:
              box = boxes[i]
              text = res
              if text == "":
                  continue
              text_w = int(box[2])
              text_h = int(box[5] + box[3])
              text_loc = (text_w, text_h)
              cv2.putText(
                  im,
                  "LP: " + text,
                  text_loc,
                  cv2.FONT_ITALIC,
                  text_scale,
                  (0, 255, 255),
                  thickness=text_thickness,
              )
      return im
  
imports: from __future__ import division
  import os
  import cv2
  import math
  import numpy
  import PIL
  from PIL import Image, ImageDraw, ImageFile
label_desc: Use image node_id 11 for calling a global function with example usage: visualize_vehicleplate(im, results, boxes) and returns: im