code: def plate_recognition(self, images=None):
      assert isinstance(images, (list, str, np.ndarray))
      results = []
  
      if isinstance(images, list):
          for item in images:
              for bbox, text in self.vlpr.ocr(item):
                  results.append({"license": text[0], "bbox": bbox})
  
      elif isinstance(images, (str, np.ndarray)):
          for bbox, text in self.vlpr.ocr(images):
              results.append({"license": text[0], "bbox": bbox})
  
      return results
  
file_path: PaddleHub/modules/image/text_recognition/Vehicle_License_Plate_Recognition/module.py
imports: import os
  import cv2
  import base64
  import numpy
  import paddle.nn
  from paddleocr import PaddleOCR
  from paddlehub.module.module import moduleinfo, serving
label_desc: Use image node_id 3 for calling the Vehicle_License_Plate_Recognition obj's underlying member method code with example usage: obj.plate_recognition(images) and returns: results