code: def _find_images(self):
      predict_dir = self.predict_dir
      if not isinstance(predict_dir, Sequence):
          predict_dir = [predict_dir]
      images = []
      for im_dir in predict_dir:
          if os.path.isdir(im_dir):
              im_dir = os.path.join(self.predict_dir, im_dir)
              images.extend(_make_dataset(im_dir))
          elif os.path.isfile(im_dir) and _is_valid_file(im_dir):
              images.append(im_dir)
      return images
  
imports: from ppdet.core.workspace import register, serializable
  import cv2
  import os
  import tarfile
  import numpy
  import os.path
  from ppdet.data.source.dataset import DetDataset
  from imgaug.augmentables.lines import LineStringsOnImage
  from imgaug.augmentables.segmaps import SegmentationMapsOnImage
  from ppdet.data.culane_utils import lane_to_linestrings
  import pickle
  from ppdet.utils.logger import setup_logger
  from .dataset import DetDataset, _make_dataset, _is_valid_file
  from ppdet.utils.download import download_dataset
label_desc: Use image node_id 7 for calling the CULaneDataSet obj's underlying member method code with example usage: obj._find_images() and returns: images