class_docstr: Convert between text-label and text-index 
class_docstr_tok: ["Convert","between","text-label","and","text-index"]
code: def __init__(self, class_path, **kwargs):
      super(VQASerTokenLayoutLMPostProcess, self).__init__()
      label2id_map, self.id2label_map = load_vqa_bio_label_maps(
          class_path
      )
  
      self.label2id_map_for_draw = dict()
      for key in label2id_map:
          if key.startswith("I-"):
              self.label2id_map_for_draw[key] = label2id_map[
                  "B" + key[1:]
              ]
          else:
              self.label2id_map_for_draw[key] = label2id_map[key]
  
      self.id2label_map_for_show = dict()
      for key in self.label2id_map_for_draw:
          val = self.label2id_map_for_draw[key]
          if key == "O":
              self.id2label_map_for_show[val] = key
          if key.startswith("B-") or key.startswith("I-"):
              self.id2label_map_for_show[val] = key[2:]
          else:
              self.id2label_map_for_show[val] = key
  
file_path: PaddleOCR/ppocr/postprocess/vqa_token_ser_layoutlm_postprocess.py
imports: import numpy
  import paddle
  from ppocr.utils.utility import load_vqa_bio_label_maps
label_desc: Use image node_id 1 to create a new VQASerTokenLayoutLMPostProcess object from inherited base classes: object with example: obj = VQASerTokenLayoutLMPostProcess(class_path)