text: import glob
  from utilities import *
  import matched_filter as mf
  
  
  path = '../data/hw01_preds/preds.json'
  base_kernel_path = '../data/kernels'
  image_base_path = '../data/RedLights2011_Medium'
  save_path = '../data/convolved_images/'
  
  image_paths = sorted(glob.glob(image_base_path + '/*'))
  
  kernel_id = 'average'
  image_path = image_paths[0]
  img = load_image(image_path)
  img_arr = image_to_array(img)
  
  kernel = load_kernel(kernel_id, base_kernel_path)
  
  run1d = 1
  run2d = 1
  run3d = 1
  
  if run1d:
      ci1 = mf.filter_1d(img_arr, kernel)
      np.save(save_path + 'kernel=' + str(kernel_id) + '_filter1d', ci1)
  
  if run2d:
      ci2 = mf.filter_2d(img_arr, kernel)
      np.save(save_path + 'kernel=' + str(kernel_id) + '_filter2d', ci2)
  
  if run3d:
      ci3 = mf.filter_3d(img_arr, kernel)
      np.save(save_path + 'kernel=' + str(kernel_id) + '_filter3d', ci3)
  