code: def get_output_names(net):
      output_names = [key for key in net.outputs]
      return output_names
  
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 2 for calling a global function with example usage: get_output_names(net) and returns: output_names