code: def __init__(self, character_dict_path=None, **kwargs):
      super(StrokeFocusLoss, self).__init__(character_dict_path)
      self.mse_loss = nn.MSELoss()
      self.ce_loss = nn.CrossEntropyLoss()
      self.l1_loss = nn.L1Loss()
      self.english_stroke_alphabet = "0123456789"
      self.english_stroke_dict = {}
      for index in range(len(self.english_stroke_alphabet)):
          self.english_stroke_dict[
              self.english_stroke_alphabet[index]
          ] = index
  
      stroke_decompose_lines = open(
          character_dict_path, "r"
      ).readlines()
      self.dic = {}
      for line in stroke_decompose_lines:
          line = line.strip()
          character, sequence = line.split()
          self.dic[character] = sequence
  
file_path: PaddleOCR/ppocr/losses/stroke_focus_loss.py
imports: import cv2
  import sys
  import time
  import string
  import random
  import numpy
  import paddle.nn
  import paddle
label_desc: Use image node_id 1 to create a new StrokeFocusLoss object from inherited base classes: nn with example: obj = StrokeFocusLoss(character_dict_path)