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

Load names with tf.train.match_filenames_once get the number of files to iterate over with tf.size open session and enjoy ;-)

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

matplotlib.use('Agg')
import matplotlib.pyplot as plt


filenames = tf.train.match_filenames_once('./images/*.jpg')
count_num_files = tf.size(filenames)
filename_queue = tf.train.string_input_producer(filenames)

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

init = tf.global_variables_initializer()
with tf.Session() as sess:
    sess.run(init)
    coord = tf.train.Coordinator()
    threads = tf.train.start_queue_runners(coord=coord)
    num_files = sess.run(count_num_files)
    for i in range(num_files):
        image=img.eval()
        print(image.shape)
        Image.fromarray(np.asarray(image)).save('te.jpeg')