code: def __getitem__(self, index):
      try:
          data = copy.deepcopy(self.data_list[index])
          im = cv2.imread(
              data["img_path"], 1 if self.img_mode != "GRAY" else 0
          )
          if self.img_mode == "RGB":
              im = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)
          data["img"] = im
          data["shape"] = [im.shape[0], im.shape[1]]
          data = self.apply_pre_processes(data)
  
          if self.transform:
              data["img"] = self.transform(data["img"])
          data["text_polys"] = data["text_polys"].tolist()
          if len(self.filter_keys):
              data_dict = {}
              for k, v in data.items():
                  if k not in self.filter_keys:
                      data_dict[k] = v
              return data_dict
          else:
              return data
      except:
          return self.__getitem__(np.random.randint(self.__len__()))
  
file_path: PaddleOCR/benchmark/PaddleOCR_DBNet/base/base_dataset.py
imports: import copy
  from paddle.io import Dataset
  from data_loader.modules import *
label_desc: Use image node_id 5 for calling the BaseDataSet obj's underlying member method code with example usage: obj.__getitem__(index) and returns: data_dict, data, self