code: def postprocess(faces, masks, visualization, output_dir):
      # 检查输出目录
      if visualization:
          if not os.path.exists(output_dir):
              os.mkdir(output_dir)
  
      results = []
  
      for face, mask, i in zip(faces, masks, range(len(masks))):
          mask = mask[..., np.newaxis] / 255
          write = face * mask + (1 - mask) * 255
          blue = face * mask + (1 - mask) * [255, 0, 0]
          red = face * mask + (1 - mask) * [0, 0, 255]
  
          # 可视化结果保存
          if visualization:
              cv2.imwrite(
                  os.path.join(output_dir, "write_%d.jpg" % i), write
              )
              cv2.imwrite(
                  os.path.join(output_dir, "blue_%d.jpg" % i), blue
              )
              cv2.imwrite(
                  os.path.join(output_dir, "red_%d.jpg" % i), red
              )
  
          results.append({"write": write, "blue": blue, "red": red})
  
      return results
  
file_path: PaddleHub/modules/image/Image_gan/style_transfer/ID_Photo_GEN/module.py
imports: import os
  import cv2
  import math
  import paddle
  import numpy
  import paddle.nn
  import paddlehub
  from paddlehub.module.module import moduleinfo
label_desc: Use image node_id 5 for calling the ID_Photo_GEN obj's underlying member method code with example usage: obj.postprocess(faces, masks, visualization, output_dir) and returns: results