text: import os
  import cv2
  import numpy as np
  import pandas as pd
  import argparse
  from tqdm import tqdm
  from pathlib import Path
  from wide_resnet import WideResNet
  from keras.utils.data_utils import get_file
  from utils import load_data
  
  
  
  
  def get_args():
      parser = argparse.ArgumentParser(description="This script evaluate age estimation model "
                                                   "using the APPA-REAL validation data.",
                                       formatter_class=argparse.ArgumentDefaultsHelpFormatter)
      parser.add_argument("--depth", type=int, default=16,
                          help="depth of network")
      parser.add_argument("--width", type=int, default=8,
                          help="width of network")
      args = parser.parse_args()
      return args
  
  
  def main():
      args = get_args()
      depth = args.depth
      k = args.width
  
      img_size = 64
      batch_size = 32
      model = WideResNet(img_size, depth=depth, k=k)()
      model.load_weights("checkpoints168/weights.48-3.62.hdf5")
      dataset_root = Path(__file__).parent.joinpath("data", "wiki_db.mat")
  
      images, genders, ages, _, image_size, _ = load_data(dataset_root)
      print(images[0])
  
  if __name__ == '__main__':
      main()
  