filename_queue = tf.train.string_input_producer(['/Users/HANEL/Desktop/tf.png']
    )
reader = tf.WholeFileReader()
key, value = reader.read(filename_queue)
my_img = tf.image.decode_png(value)
init_op = tf.initialize_all_variables()
with tf.Session() as sess:
    sess.run(init_op)
coord = tf.train.Coordinator()
threads = tf.train.start_queue_runners(coord=coord)
for i in range(1):
    image = my_img.eval()
print(image.shape)
Image.fromarray(np.asarray(image)).show()
coord.request_stop()
coord.join(threads)
Tensorflow image reading & display