code: def read_template_pair_list(path):
      pairs = pd.read_csv(path, sep=" ", header=None).values
      t1 = pairs[:, 0].astype(np.int)
      t2 = pairs[:, 1].astype(np.int)
      label = pairs[:, 2].astype(np.int)
      return t1, t2, label
  
imports: import argparse
  import os
  import pickle
  import timeit
  import cv2
  import mxnet
  import numpy
  import pandas
  import prettytable
  import skimage.transform
  from sklearn.metrics import roc_curve
  from sklearn.preprocessing import normalize
  from onnx_helper import ArcFaceORT
label_desc: Use image node_id 3 for calling a global function with example usage: read_template_pair_list(path) and returns: t1,  t2,  label