Tensorflow image reading & display

Question

I\'ve got a bunch of images in a format similar to Cifar10 (binary file, size = 96*96*3 bytes per image), one image after another (STL-10 dataset). The file I\'

Answer 1

(Can't comment, not enough reputation, but here is a modified version that worked for me)

To @HamedMP error about the No default session is registered you can use InteractiveSession to get rid of this error: https://www.tensorflow.org/versions/r0.8/api_docs/python/client.html#InteractiveSession

And to @NumesSanguis issue with Image.show, you can use the regular PIL .show() method because fromarray returns an image object.

I do both below (note I'm using JPEG instead of PNG):

import tensorflow as tf
import numpy as np
from PIL import Image

filename_queue = tf.train.string_input_producer(['my_img.jpg']) #  list of files to read

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

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

init_op = tf.initialize_all_variables()
sess = tf.InteractiveSession()
with sess.as_default():
    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 :) 

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

coord.request_stop()
coord.join(threads)