code: def __init__(self):
      # default pretrained model, Faster-RCNN with backbone ResNet50, shape of input tensor is [3, 800, 1333]
      self.default_pretrained_model_path = os.path.join(
          self.directory, "faster_rcnn_resnet50_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
  from __future__ import division
  from __future__ import print_function
  import os
  import ast
  import argparse
  from math import ceil
  import paddle
  import numpy
  import paddle.static
  from paddlehub.module.module import moduleinfo, runnable, serving
  from paddle.inference import Config, create_predictor
  from paddlehub.utils.parser import txt_parser
  from .processor import load_label_info, postprocess, base64_to_cv2
  from .data_feed import test_reader, padding_minibatch
label_desc: Use image node_id 1 to create a new FasterRCNNResNet50 object  with example: obj = FasterRCNNResNet50()