    def decode(self, text_index, structure_probs, char_or_elem):
        """convert text-label into text-index.
        """
        if char_or_elem == "char":
            current_dict = self.dict_idx_character
        else:
            current_dict = self.dict_idx_elem
            ignored_tokens = self.get_ignored_tokens('elem')
            beg_idx, end_idx = ignored_tokens

        result_list = []
        result_pos_list = []
        result_score_list = []
        result_elem_idx_list = []
        batch_size = len(text_index)
        for batch_idx in range(batch_size):
            char_list = []
            elem_pos_list = []
            elem_idx_list = []
            score_list = []
            for idx in range(len(text_index[batch_idx])):
                tmp_elem_idx = int(text_index[batch_idx][idx])
                if idx > 0 and tmp_elem_idx == end_idx:
                    break
                if tmp_elem_idx in ignored_tokens:
                    continue

                char_list.append(current_dict[tmp_elem_idx])
                elem_pos_list.append(idx)
                score_list.append(structure_probs[batch_idx, idx])
                elem_idx_list.append(tmp_elem_idx)
            result_list.append(char_list)
            result_pos_list.append(elem_pos_list)
            result_score_list.append(score_list)
            result_elem_idx_list.append(elem_idx_list)
        return result_list, result_pos_list, result_score_list, result_elem_idx_list
convert text-label into text-index.
pytorchocr/postprocess/rec_postprocess.py