code: def __init__(self):
      self.default_pretrained_model_path = os.path.join(
          self.directory, "yolov3_darknet53_vehicles_model", "model"
      )
      self.label_names = load_label_info(
          os.path.join(self.directory, "label_file.txt")
      )
      self._set_config()
  
imports: from __future__ import absolute_import
  import argparse
  import ast
  import os
  from functools import partial
  import numpy
  import paddle
  import paddle.jit
  import paddle.static
  from paddle.inference import Config
  from paddle.inference import create_predictor
  from .data_feed import reader
  from .processor import base64_to_cv2
  from .processor import load_label_info
  from .processor import postprocess
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
label_desc: Use image node_id 1 to create a new YOLOv3DarkNet53Vehicles object  with example: obj = YOLOv3DarkNet53Vehicles()