import numpy as np
import tensorflow as tf
from PIL import Image
def convert_to_tf_tensor(image: Image):
     np_image = np.array(image)
     tf_image = tf.convert_to_tensor(np_image)
     # expand_dims() is used to add a batch dimension since
     # the TF augmentation layers operates on batched inputs.