code: def predict(self, input_datas):
      outputs = []
      # 遍历输入数据进行预测
      for input_data in input_datas:
          inputs = input_data.copy()
          self.input_handle.copy_from_cpu(inputs)
          self.predictor.run()
          output = self.output_handle.copy_to_cpu()
          outputs.append(output)
  
      # 预测结果合并
      outputs = np.concatenate(outputs, 0)
  
      # 返回预测结果
      return outputs
  
file_path: PaddleHub/modules/image/semantic_segmentation/Extract_Line_Draft/module.py
imports: import argparse
  import ast
  import os
  import cv2
  from pathlib import Path
  from paddle.inference import Config, create_predictor
  from paddlehub.module.module import runnable, moduleinfo
  import numpy
  from .function import get_light_map_single, normalize_pic, resize_img_512_3d, show_active_img_and_save_denoise
label_desc: Use image node_id 3 for calling the ExtractLineDraft obj's underlying member method code with example usage: obj.predict(input_datas) and returns: outputs