code: def __init__(self):
      self.default_pretrained_model_path = os.path.join(
          self.directory, "yolov3_resnet34_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 ast
  import argparse
  import os
  from functools import partial
  import paddle
  import numpy
  import paddle.jit
  import paddle.static
  import paddle.static
  from paddle.inference import Config, create_predictor
  from paddlehub.module.module import moduleinfo, runnable, serving
  from .processor import load_label_info, postprocess, base64_to_cv2
  from .data_feed import reader
label_desc: Use image node_id 1 to create a new YOLOv3ResNet34Coco2017 object  with example: obj = YOLOv3ResNet34Coco2017()