code: def get_vis_nir_info_txt():
      def read_file(file_name):
          with open(test_list_dir + file_name, "r") as f:
              lines = f.readlines()
          paths = [s.strip().split(" ")[0] for s in lines]
          labels = [int(s.strip().split(" ")[1]) for s in lines]
          info = [(p, l) for (p, l) in zip(paths, labels)]
  
          return info
  
      vis = read_file("test_vis_paths.txt")
      nir = read_file("test_nir_paths.txt")
  
      return vis, nir
  
file_path: insightface/recognition/idmmd/evaluate/eval_oulu_112.py
imports: import numpy
  import pandas
  import os, sys
  import argparse
  import torch
  from PIL import Image
  from network.lightcnn112 import LightCNN_29Layers
  from evaluate import evaluate2
label_desc: Use image node_id 3 for calling a global function with example usage: get_vis_nir_info_txt() and returns: vis,  nir, info