Tensorflow image reading & display

Just to give a complete answer:

filename_queue = tf.train.string_input_producer(['/Users/HANEL/Desktop/tf.png']) #  list of files to read

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

my_img = tf.image.decode_png(value) # use png or jpg decoder based on your files.

init_op = tf.global_variables_initializer()
with tf.Session() as sess:
  sess.run(init_op)

  # Start populating the filename queue.

  coord = tf.train.Coordinator()
  threads = tf.train.start_queue_runners(coord=coord)

  for i in range(1): #length of your filename list
    image = my_img.eval() #here is your image Tensor :) 

  print(image.shape)
  Image.fromarray(np.asarray(image)).show()

  coord.request_stop()
  coord.join(threads)

Or if you have a directory of images you can add them all via this Github source file

@mttk and @salvador-dali: I hope it is what you need

According to the documentation you can decode JPEG/PNG images.

It should be something like this:

import tensorflow as tf

filenames = ['/image_dir/img.jpg']
filename_queue = tf.train.string_input_producer(filenames)

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

images = tf.image.decode_jpeg(value, channels=3)

You can find a bit more info here