code: def process_image_srn(
      self, img, image_shape, num_heads, max_text_length
  ):
      norm_img = self.resize_norm_img_srn(img, image_shape)
      norm_img = norm_img[np.newaxis, :]
  
      [
          encoder_word_pos,
          gsrm_word_pos,
          gsrm_slf_attn_bias1,
          gsrm_slf_attn_bias2,
      ] = self.srn_other_inputs(image_shape, num_heads, max_text_length)
  
      gsrm_slf_attn_bias1 = gsrm_slf_attn_bias1.astype(np.float32)
      gsrm_slf_attn_bias2 = gsrm_slf_attn_bias2.astype(np.float32)
      encoder_word_pos = encoder_word_pos.astype(np.int64)
      gsrm_word_pos = gsrm_word_pos.astype(np.int64)
  
      return (
          norm_img,
          encoder_word_pos,
          gsrm_word_pos,
          gsrm_slf_attn_bias1,
          gsrm_slf_attn_bias2,
      )
  
imports: import os
  import sys
  from PIL import Image
  import cv2
  import numpy
  import math
  import time
  import traceback
  import paddle
  import tools.infer.utility
  from ppocr.postprocess import build_post_process
  from ppocr.utils.logging import get_logger
  from ppocr.utils.utility import get_image_file_list, check_and_read
label_desc: Use image node_id 6 for calling the TextRecognizer obj's underlying member method code with example usage: obj.process_image_srn(img, image_shape, num_heads, max_text_length) and returns: norm_img,  encoder_word_pos,  gsrm_word_pos,  gsrm_slf_attn_bias1,  gsrm_slf_attn_bias2