code: def get_vis_nir_info():
      vis = np.loadtxt(test_list_dir + "test_vis_paths.txt", dtype=str)
      vis_labels = [int(s.split("/")[0]) for s in vis]
      vis = [(p, l) for (p, l) in zip(vis, vis_labels)]
  
      nir = np.loadtxt(test_list_dir + "test_nir_paths.txt", dtype=str)
      nir_labels = [int(s.split("/")[0]) for s in nir]
      nir = [(p, l) for (p, l) in zip(nir, nir_labels)]
  
      return vis, nir
  
file_path: insightface/recognition/idmmd/evaluate/eval_buaa_112.py
imports: import numpy
  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 2 for calling a global function with example usage: get_vis_nir_info() and returns: vis,  nir