code: def generate_label(self):
      with open(
          os.path.join(
              self.voc_path, "ImageSets/Segmentation/train_context.txt"
          ),
          "w",
      ) as f:
          for img_id in tqdm.tqdm(self.train_ids, desc="train"):
              basename = self.save_mask(img_id, "train")
              f.writelines("".join([basename, "\n"]))
  
      with open(
          os.path.join(
              self.voc_path, "ImageSets/Segmentation/val_context.txt"
          ),
          "w",
      ) as f:
          for img_id in tqdm.tqdm(self.val_ids, desc="val"):
              basename = self.save_mask(img_id, "val")
              f.writelines("".join([basename, "\n"]))
  
      with open(
          os.path.join(
              self.voc_path,
              "ImageSets/Segmentation/trainval_context.txt",
          ),
          "w",
      ) as f:
          for img in tqdm.tqdm(
              os.listdir(self.label_dir), desc="trainval"
          ):
              if img.endswith(".png"):
                  basename = img.split(".", 1)[0]
                  f.writelines("".join([basename, "\n"]))
  
file_path: PaddleSeg/tools/data/convert_voc2010.py
imports: import argparse
  import os
  import tqdm
  import numpy
  from detail import Detail
  from PIL import Image
label_desc: Use image node_id 4 for calling the PascalContextGenerator obj's underlying member method code with example usage: obj.generate_label() without return types