code: def _image_from_feature(self, features):
      image = tf.image.decode_jpeg(features["image"], channels=3)
      image_height = tf.to_int32(features["height"])
      image_width = tf.to_int32(features["width"])
      image = tf.reshape(image, (image_height, image_width, 3))
      image = tf.to_float(image)
      return image, image_height, image_width
  
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 4 for calling the ProtobuffProvider obj's underlying member method code with example usage: obj._image_from_feature(features) and returns: image,  image_height,  image_width