code: def preprocess(self, im_data):
      if not isinstance(im_data, dict):
          data = {}
          data["img"] = im_data
      else:
          data = im_data
      data = self.transforms(data)
      data["img"] = data["img"][np.newaxis, ...]
      data["img"] = paddle.to_tensor(data["img"])
      return data
  
file_path: PaddleSeg/contrib/QualityInspector/qinspector/seg/engine/predictor.py
imports: import numpy
  import cv2
  import paddle
  from paddleseg import utils
  from paddleseg.core import infer
  from paddleseg.core.predict import partition_list
  from paddleseg.transforms import Compose
  from paddleseg.utils import progbar
  from qinspector.utils.logger import setup_logger
label_desc: Use image node_id 4 for calling the SegPredictor obj's underlying member method code with example usage: obj.preprocess(im_data) and returns: data