  
          img_list_len = len(img_list)
          for i in tqdm ( range(0, img_list_len-1), desc="Sorting", file=sys.stdout):
              min_score = float("inf")
              j_min_score = i+1
              for j in range(i+1,len(img_list)):
  
                  fl1 = img_list[i][1]
                  fl2 = img_list[j][1]
                  score = np.sum ( np.absolute ( (fl2 - fl1).flatten() ) )
  
                  if score < min_score:
 
</s> remove                 score = np.sum ( np.absolute ( (fl2 - fl1).flatten() ) )
 </s> add                 score = np.sum(np.absolute((fl2 - fl1).flatten())) </s> remove             for j in range(i+1,len(img_list)):
 </s> add             for j in range(i + 1, len(img_list)): </s> remove         for i in tqdm ( range(0, img_list_len-1), desc="Sorting", file=sys.stdout):
 </s> add         for i in tqdm(range(0, img_list_len - 1), desc="Sorting", file=sys.stdout): </s> remove             j_min_score = i+1
            for j in range(i+1,len(img_list)):
                score = cv2.compareHist(img_list[i][1], img_list[j][1], cv2.HISTCMP_BHATTACHARYYA)
 </s> add             j_min_score = i + 1
            for j in range(i + 1, len(img_list)):
                score = cv2.compareHist(img_list[i][1],
                                        img_list[j][1],
                                        cv2.HISTCMP_BHATTACHARYYA) </s> remove             j_min_score = i+1
            for j in range(i+1,len(img_list)):
            
 </s> add             j_min_score = i + 1
            for j in range(i + 1, len(img_list)):
            j_min_score = i + 1
            for j in range(i + 1, len(img_list)):
  
          img_list_len = len(img_list)
          for i in tqdm ( range(0, img_list_len-1), desc="Sorting", file=sys.stdout):
              min_score = float("inf")
            j_min_score = i + 1
            for j in range(i + 1, len(img_list)):
            j_min_score = i + 1
            for j in range(i + 1, len(img_list)):
            j_min_score = i + 1
            for j in range(i + 1, len(img_list)):
                  fl1 = img_list[i][1]
                  fl2 = img_list[j][1]
                  score = np.sum ( np.absolute ( (fl2 - fl1).flatten() ) )
  
                  if score < min_score:
keep keep keep keep replace replace replace keep keep keep keep keep
 GUI v0.2.1b (#352)

* Code refactor

* Console Added

* Add graphing with matplotlib

* Add GUI preview support

* Improve import handling.

* Add GUI integration for tools.py (Launch tools.py with the gui command)

* Reformat to conform to PEP8.

* Add Tooltips, 

* Make panels user adjustable

* Fix convert.py Sharpen default value 
tools/sort.py