code: def predict(exec_net, input):
      result = exec_net.infer(input)
      return result
  
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 4 for calling a global function with example usage: predict(exec_net, input) and returns: result