class_docstr: Abstract class to postprocess the raw output of the model
  
  Args:
  ----
      vocab: string containing the ordered sequence of supported characters
class_docstr_tok: ["Abstract","class","to","postprocess","the","raw","output","of","the","model","Args",":","--","--","vocab",":","string","containing","the","ordered","sequence","of","supported","characters"]
code: def __init__(
      self,
      vocab: str,
  ) -> None:
      self.vocab = vocab
      self._embedding = list(self.vocab) + ["<eos>"]
  
file_path: doctr/doctr/models/recognition/core.py
imports: from typing import List, Tuple
  import numpy
  from doctr.datasets import encode_sequences
  from doctr.utils.repr import NestedObject
label_desc: Use image node_id 1 to create a new RecognitionPostProcessor object from inherited base classes: NestedObject with example: obj = RecognitionPostProcessor(vocab)