code: def __call__(self, preds, batch, **kwargs):
      if self.mode == "A":
          gt_polyons_batch = batch[2]
          temp_gt_strs_batch = batch[3][0]
          ignore_tags_batch = batch[4]
          gt_strs_batch = []
  
          for temp_list in temp_gt_strs_batch:
              t = ""
              for index in temp_list:
                  if index < self.max_index:
                      t += self.label_list[index]
              gt_strs_batch.append(t)
  
          for pred, gt_polyons, gt_strs, ignore_tags in zip(
              [preds],
              gt_polyons_batch,
              [gt_strs_batch],
              ignore_tags_batch,
          ):
              # prepare gt
              gt_info_list = [
                  {
                      "points": gt_polyon,
                      "text": gt_str,
                      "ignore": ignore_tag,
                  }
                  for gt_polyon, gt_str, ignore_tag in zip(
                      gt_polyons, gt_strs, ignore_tags
                  )
              ]
              # prepare det
              e2e_info_list = [
                  {"points": det_polyon, "texts": pred_str}
                  for det_polyon, pred_str in zip(
                      pred["points"], pred["texts"]
                  )
              ]
  
              result = get_socre_A(gt_info_list, e2e_info_list)
              self.results.append(result)
      else:
          img_id = batch[5][0]
          e2e_info_list = [
              {"points": det_polyon, "texts": pred_str}
              for det_polyon, pred_str in zip(
                  preds["points"], preds["texts"]
              )
          ]
          result = get_socre_B(self.gt_mat_dir, img_id, e2e_info_list)
          self.results.append(result)
  
file_path: PaddleOCR/ppocr/metrics/e2e_metric.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from ppocr.utils.e2e_metric.Deteval import get_socre_A, get_socre_B, combine_results
  from ppocr.utils.e2e_utils.extract_textpoint_slow import get_dict
label_desc: Use image node_id 2 for calling the E2EMetric obj's underlying member method code with example usage: obj.__call__(preds, batch) without return types