class_docstr: information about one single beam at specific time-step
class_docstr_tok: ["information","about","one","single","beam","at","specific","time-step"]
code: def __init__(self):
      self.prTotal = 0  # blank and non-blank
      self.prNonBlank = 0  # non-blank
      self.prBlank = 0  # blank
      self.prText = 1  # LM score
      self.lmApplied = (
          False  # flag if LM was already applied to this beam
      )
      self.labeling = ()  # beam-labeling
      self.simplified = True
  
imports: from __future__ import print_function
  import torch
  import pickle
  import numpy
  import math
  import cv2
  from PIL import Image, JpegImagePlugin
  from scipy import ndimage
  import hashlib
  import sys, os
  from zipfile import ZipFile
  from .imgproc import loadImage
label_desc: Use image node_id 1 to create a new BeamEntry object  with example: obj = BeamEntry()