class_docstr: Tensorflow Example proto decoder.
code: def __init__(self):
      self._keys_to_features = {
          "image/encoded": tf.FixedLenFeature((), tf.string),
          "image/height": tf.FixedLenFeature((), tf.int64, -1),
          "image/width": tf.FixedLenFeature((), tf.int64, -1),
          "image/object/bbox/xmin": tf.VarLenFeature(tf.float32),
          "image/object/bbox/xmax": tf.VarLenFeature(tf.float32),
          "image/object/bbox/ymin": tf.VarLenFeature(tf.float32),
          "image/object/bbox/ymax": tf.VarLenFeature(tf.float32),
          "image/object/class/label": tf.VarLenFeature(tf.int64),
          "image/object/area": tf.VarLenFeature(tf.float32),
      }
  
imports: import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new TfExampleDecoder object from inherited base classes: object with example: obj = TfExampleDecoder()