import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
import os
%matplotlib inline

path = './Test_Dataset_png'
file_paths = [os.path.join(path, filename)
              for filename in os.listdir(path)]

tf.reset_default_graph()
filename_queue = tf.train.string_input_producer(file_paths)

reader = tf.WholeFileReader()
key, value = reader.read(filename_queue)
decoded_img = tf.image.decode_png(value)

decoded_img = tf.reduce_mean(decoded_img, axis=-1)

with tf.Session() as sess:
    coord = tf.train.Coordinator()
    thread = tf.train.start_queue_runners(sess, coord)

    image = sess.run(decoded_img)
    print(image.shape)
    plt.imshow(image)

    coord.request_stop()
    coord.join(thread)