text: import os
  import joblib
  
  import numpy as np
  
  import matplotlib.pyplot as plt
  
  
  # sample_list = joblib.load('sample_list_dhd_traffic_all_with_feature_map.s')
  # # print(len(sample_list))
  
  # joblib.dump(sample_list[0].feature[0], 'feature_test.tmp')
  feature = joblib.load('feature_test.tmp')
  
  feature = feature.astype(np.float32)
  
  # for sample in sample_list:
  #     feature = sample.feature
  #     feature_figure = feature[0][0]
  #     plt.imshow(feature_figure)
  #     plt.savefig('feature.pdf')
  #     break
  
  print(feature.shape)
  print(feature.dtype)
  
  for i in range(32):
      plt.imshow(feature[i])
      plt.savefig(os.path.join('./features', 'feature' + str(i) + '.jpg'))
  