Using tf_models.slim.preprocessing

tf_models_preprocessing.py

# You need to add your local TF-models slim directory to PYTHON_PATH
# or just run script from this directory.
import tensorflow as tf
from preprocessing import inception_preprocessing

# you can use any uint8 tensor of matching dimensions
single_image = tf.placeholder(tf.uint8, shape=(None, None, 3))

# Augmentation operations are created here
# (no batch support here)
augmented_image = inception_preprocessing.preprocess_image(
    single_image, height=299, width=299, is_training=True)