parameters: (p_score,
                               p_char_maps,
                               f_direction,
                               Lexicon_Table,
                               score_thresh=0.5)
return_statement: return keep_yxs_list, decoded_str
docstring: return center point and end point of TCL instance; filter with the char maps;
docstring_summary: return center point and end point of TCL instance; filter with the char maps;
docstring_tokens: return center point and end point of TCL instance ; filter with the char maps ;
function: def generate_pivot_list_fast(p_score,
                               p_char_maps,
                               f_direction,
                               Lexicon_Table,
                               score_thresh=0.5):
      """
      return center point and end point of TCL instance; filter with the char maps;
      """
      p_score = p_score[0]
      f_direction = f_direction.transpose(1, 2, 0)
      p_tcl_map = (p_score > score_thresh) * 1.0
      skeleton_map = thin(p_tcl_map.astype(np.uint8))
      instance_count, instance_label_map = cv2.connectedComponents(
          skeleton_map.astype(np.uint8), connectivity=8)
  
      # get TCL Instance
      all_pos_yxs = []
      if instance_count > 0:
          for instance_id in range(1, instance_count):
              pos_list = []
              ys, xs = np.where(instance_label_map == instance_id)
              pos_list = list(zip(ys, xs))
  
              if len(pos_list) < 3:
                  continue
  
              pos_list_sorted = sort_and_expand_with_direction_v2(
                  pos_list, f_direction, p_tcl_map)
              all_pos_yxs.append(pos_list_sorted)
  
      p_char_maps = p_char_maps.transpose([1, 2, 0])
      decoded_str, keep_yxs_list = ctc_decoder_for_image(
          all_pos_yxs, logits_map=p_char_maps, Lexicon_Table=Lexicon_Table)
      return keep_yxs_list, decoded_str
function_tokens: def generate_pivot_list_fast ( p_score , p_char_maps , f_direction , Lexicon_Table , score_thresh = 0.5 ) : p_score = p_score [ 0 ] f_direction = f_direction . transpose ( 1 , 2 , 0 ) p_tcl_map = ( p_score > score_thresh ) * 1.0 skeleton_map = thin ( p_tcl_map . astype ( np . uint8 ) ) instance_count , instance_label_map = cv2 . connectedComponents ( skeleton_map . astype ( np . uint8 ) , connectivity = 8 ) # get TCL Instance all_pos_yxs = [ ] if instance_count > 0 : for instance_id in range ( 1 , instance_count ) : pos_list = [ ] ys , xs = np . where ( instance_label_map == instance_id ) pos_list = list ( zip ( ys , xs ) ) if len ( pos_list ) < 3 : continue pos_list_sorted = sort_and_expand_with_direction_v2 ( pos_list , f_direction , p_tcl_map ) all_pos_yxs . append ( pos_list_sorted ) p_char_maps = p_char_maps . transpose ( [ 1 , 2 , 0 ] ) decoded_str , keep_yxs_list = ctc_decoder_for_image ( all_pos_yxs , logits_map = p_char_maps , Lexicon_Table = Lexicon_Table ) return keep_yxs_list , decoded_str