code: def load_properties_of_cropped(self, case_identifier):
      with open(
          join_paths(
              self.folder_with_cropped_data, "%s.pkl" % case_identifier
          ),
          "rb",
      ) as f:
          properties = pickle.load(f)
      return properties
  
file_path: PaddleSeg/contrib/MedicalSeg/tools/preprocess_utils/dataset_analyzer.py
imports: import json
  import os
  import pickle
  import numpy
  from skimage.morphology import label
  from collections import OrderedDict
  from multiprocessing import Pool
  from .path_utils import join_paths
label_desc: Use image node_id 3 for calling the DatasetAnalyzer obj's underlying member method code with example usage: obj.load_properties_of_cropped(case_identifier) and returns: properties