code: def _save_imgs(self, results, imgs_path):
      for i in range(results.shape[0]):
          result = id2rgb(results[i][0])
          result = Image.fromarray(result).convert("RGB")
          basename = osp.basename(imgs_path[i])
          basename, _ = osp.splitext(basename)
          basename = f"{basename}.png"
          result.save(osp.join(self.args.save_dir, basename))
  
imports: import os
  import os.path
  import argparse
  from ast import literal_eval
  import numpy
  from PIL import Image
  from paddle.inference import create_predictor, PrecisionType
  from paddle.inference import Config
  from paddleseg.utils import logger, get_image_list
  from paddleseg.deploy.infer import DeployConfig
  from paddlepanseg.cvlibs.info_dicts import build_info_dict
  from paddlepanseg.transforms.functional import id2rgb
label_desc: Use image node_id 8 for calling the Predictor obj's underlying member method code with example usage: obj._save_imgs(results, imgs_path) without return types