Accessing filename from file queue in Tensor Flow

Question

I have a directory of images, and a separate file matching image filenames to labels. So the directory of images has files like \'train/001.jpg\' and the labeling file looks lik

Answer 1

Here's what I was able to do.

I first shuffled the filenames and matched the labels to them in Python:

np.random.shuffle(filenames)
labels = [label_dict[f] for f in filenames]

Then created a string_input_producer for the filenames with shuffle off, and a FIFO for labels:

lv = tf.constant(labels)
label_fifo = tf.FIFOQueue(len(filenames),tf.int32, shapes=[[]])
file_fifo = tf.train.string_input_producer(filenames, shuffle=False, capacity=len(filenames))
label_enqueue = label_fifo.enqueue_many([lv])

Then to read the image I could use a WholeFileReader and to get the label I could dequeue the fifo:

reader = tf.WholeFileReader()
image = tf.image.decode_jpeg(value, channels=3)
image.set_shape([128,128,3])
result.uint8image = image
result.label = label_fifo.dequeue()

And generate the batches as follows:

min_fraction_of_examples_in_queue = 0.4
min_queue_examples = int(num_examples_per_epoch *
                         min_fraction_of_examples_in_queue)
num_preprocess_threads = 16
images, label_batch = tf.train.shuffle_batch(
  [result.uint8image, result.label],
  batch_size=FLAGS.batch_size,
  num_threads=num_preprocess_threads,
  capacity=min_queue_examples + 3 * FLAGS.batch_size,
  min_after_dequeue=min_queue_examples)