code: def augmentation_type(self):
      return tf.stack(
          [
              tf.random_uniform([1]) - 1,
              (tf.random_uniform([1]) * 30.0 - 15.0) * np.pi / 180.0,
              tf.random_uniform([1]) * 0.5 + 0.75,
          ]
      )
  
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 3 for calling the ProtobuffProvider obj's underlying member method code with example usage: obj.augmentation_type() and returns: tf