code: def Portrait_GEN(
      self,
      images=None,
      paths=None,
      scale=1,
      batch_size=1,
      output_dir="output",
      face_detection=True,
      visualization=False,
  ):
      # 初始化数据处理器
      processor = Processor(
          paths, images, batch_size, face_detection, scale
      )
  
      # 模型预测
      outputs = self.predict(processor.input_datas)
  
      # 预测结果后处理
      results = processor.postprocess(
          outputs, visualization=visualization, output_dir=output_dir
      )
  
      return results
  
file_path: PaddleHub/modules/image/Image_gan/style_transfer/U2Net_Portrait/module.py
imports: import os
  import paddle
  import paddle.nn
  import numpy
  from U2Net_Portrait.u2net import U2NET
  from U2Net_Portrait.processor import Processor
  from paddlehub.module.module import moduleinfo
label_desc: Use image node_id 3 for calling the U2Net_Portrait obj's underlying member method code with example usage: obj.Portrait_GEN(images, paths, scale, batch_size, output_dir, face_detection, visualization) and returns: results