def inputs(filename, batch_size):
image, label = utils.read_file(filename)
image = utils.adjust_image_for_test(image)
images, labels = tf.train.batch([image, label],
batch_size=batch_size,
capacity=total_test_images + batch_size)
return images, labels
def inputs(filename, batch_size):
image, label = utils.read_file(filename)
image = utils.adjust_image_for_test(image)
images, labels = tf.train.batch([image, label],
batch_size=batch_size,
capacity=total_number_of_images,
allow_smaller_final_batch=True)
return images, labels
def inputs(filename, batch_size):
image, label = utils.read_file(filename)
image = utils.adjust_image_for_train(image)
images, labels = tf.train.shuffle_batch([image, label],
batch_size=batch_size,
capacity=30000 + batch_size,
min_after_dequeue=10000)
return images, labels
def inputs(filenames, batch_size):
image, label = utils.read_file(filenames)
image = utils.adjust_image_for_train(image)
images, labels = tf.train.shuffle_batch([image, label],
batch_size=batch_size,
capacity=35000 + batch_size,
min_after_dequeue=5000,
allow_smaller_final_batch=True)
return images, labels