code: def postprocess(outputs, masks, visualization, output_dir):
      # 检查输出目录
      if visualization:
          if not os.path.exists(output_dir):
              os.mkdir(output_dir)
  
      cartoons = []
  
      for cartoon, mask, i in zip(outputs, masks, range(len(masks))):
          # 格式转换
          cartoon = np.transpose(cartoon, (1, 2, 0))
          cartoon = (cartoon + 1) * 127.5
  
          # 计算输出图像
          cartoon = (cartoon * mask + 255 * (1 - mask)).astype(np.uint8)
          cartoon = cv2.cvtColor(cartoon, cv2.COLOR_RGB2BGR)
  
          # 可视化结果保存
          if visualization:
              cv2.imwrite(
                  os.path.join(output_dir, "result_%d.png" % i), cartoon
              )
  
          cartoons.append(cartoon)
  
      return cartoons
  
file_path: PaddleHub/modules/image/Image_gan/style_transfer/Photo2Cartoon/module.py
imports: import os
  import cv2
  import math
  import paddle
  import numpy
  import paddle.nn
  import paddlehub
  from Photo2Cartoon.model import ResnetGenerator
  from paddlehub.module.module import moduleinfo
label_desc: Use image node_id 5 for calling the Photo2Cartoon obj's underlying member method code with example usage: obj.postprocess(outputs, masks, visualization, output_dir) and returns: cartoons