# 1. Import TensorFlow.
import tensorflow as tf

# 2. Declare filepaths of our images on disk.
filenames = ['./images/img1.jpg', './images/img2.jpg']
filename_queue = tf.train.string_input_producer(filenames, shuffle=False)

# 3. Read images from disk.
reader = tf.WholeFileReader()
key, value = reader.read(filename_queue)

# 4. Convert image to tensor
image_queue = tf.image.decode_jpeg(value, channels=3)  # use decode_png for .png files

# 5. List for storing our image tensors.
images = []

with tf.Session():
  # 6. Start populating the filename queue.
  coord = tf.train.Coordinator()
  threads = tf.train.start_queue_runners(coord=coord)

  # 7. Perform image decode operation.
  for _ in range(len(filenames)):
    images.append(image_queue.eval())

  # 8. Stop queue runners.
  coord.request_stop()
  coord.join(threads)