code: def get_net():
      ie = IECore()
      model_path = root_path / "fairmot_576_320_v3.onnx"
      net = ie.read_network(model=str(model_path))
      exec_net = ie.load_network(network=net, device_name="CPU")
      return net, exec_net
  
file_path: PaddleDetection/docs/advanced_tutorials/openvino_inference/fairmot_onnx_openvino.py
imports: from collections import defaultdict
  from pathlib import Path
  import cv2
  import numpy
  import paddle.vision.transforms
  from openvino.inference_engine import IECore
  from ppdet.modeling.mot.tracker import JDETracker
  from ppdet.modeling.mot.visualization import plot_tracking_dict
label_desc: Use image node_id 1 for calling a global function with example usage: get_net() and returns: net,  exec_net