          img_list = list(list(items) for items in zip(filename_list, landmarks, scores))
  
          logger.info("Comparing landmarks...")
          img_list_len = len(img_list)
          for i in tqdm(range(0, img_list_len - 1), desc="Comparing...", file=sys.stdout):
              score_total = 0
              for j in range(i + 1, img_list_len):
                  if i == j:
                      continue
                  fl1 = img_list[i][1]
 
</s> remove         for i in tqdm(range(0, img_list_len - 1), desc="Comparing...", file=sys.stdout):
 </s> add         for i in tqdm(range(0, img_list_len - 1), desc="Comparing", file=sys.stdout): </s> remove         for i in tqdm(range(0, img_list_len), desc="Comparing", file=sys.stdout):
 </s> add         for i in tqdm(range(0, img_list_len), desc="Comparing histograms", file=sys.stdout): </s> remove         logger.info("Comparing histograms...")
 </s> add  </s> remove         for i in tqdm(range(0, img_list_len - 1), desc="Comparing", file=sys.stdout):
 </s> add         for i in tqdm(range(0, img_list_len - 1), desc="Comparing histograms", file=sys.stdout): </s> remove                 score = cv2.compareHist(img_list[i][1], img_list[j][1], distance)
 </s> add                 score = cv2.compareHist(img_list[i][1], img_list[j][1], cv2.HISTCMP_BHATTACHARYYA)
        for i in tqdm(range(0, img_list_len - 1), desc="Comparing", file=sys.stdout):
          img_list = list(list(items) for items in zip(filename_list, landmarks, scores))
  
          logger.info("Comparing landmarks...")
          img_list_len = len(img_list)
        for i in tqdm(range(0, img_list_len - 1), desc="Comparing", file=sys.stdout):
              score_total = 0
              for j in range(i + 1, img_list_len):
                  if i == j:
                      continue
                  fl1 = img_list[i][1]
keep keep keep keep replace keep keep keep keep keep
 tools.sort
  - Add sort by size
  - Centralize some of the image loading routines 
tools/sort/sort.py