code: def get(self):
      images, *names = self._get_data_protobuff(self.filename)
      tensors = [images]
  
      for name in names:
          tensors.append(name)
  
      return tf.train.shuffle_batch(
          tensors, self.batch_size, 256, 64, self.batch_size
      )
  
file_path: insightface/reconstruction/ostec/external/landmark_detector/data_provider.py
imports: import tensorflow
  import numpy
  from menpo.transform import Translation
  from external.landmark_detector.flags import FLAGS
label_desc: Use image node_id 2 for calling the ProtobuffProvider obj's underlying member method code with example usage: obj.get() and returns: tf