code: def __call__(self, preds, batch=None):
      structure_probs = preds["structure_probs"]
      bbox_preds = preds["loc_preds"]
      if isinstance(structure_probs, paddle.Tensor):
          structure_probs = structure_probs.numpy()
      if isinstance(bbox_preds, paddle.Tensor):
          bbox_preds = bbox_preds.numpy()
      shape_list = batch[-1]
      result = self.decode(structure_probs, bbox_preds, shape_list)
      if len(batch) == 1:  # only contains shape
          return result
  
      label_decode_result = self.decode_label(batch)
      return result, label_decode_result
  
file_path: PaddleOCR/ppocr/postprocess/table_postprocess.py
imports: import numpy
  import paddle
  from .rec_postprocess import AttnLabelDecode
label_desc: Use image node_id 2 for calling the TableLabelDecode obj's underlying member method code with example usage: obj.__call__(preds, batch) and returns: result,  label_decode_result, result