code: def __init__(self, paths, images, batch_size, input_size):
      # 图像列表
      self.imgs = self.load_datas(paths, images)
  
      # 输入数据
      self.input_datas = self.preprocess(
          self.imgs, batch_size, input_size
      )
  
file_path: PaddleHub/modules/image/semantic_segmentation/U2Net/processor.py
imports: import os
  import cv2
  import numpy
label_desc: Use image node_id 1 to create a new Processor object  with example: obj = Processor(paths, images, batch_size, input_size)