def _get_input():
# Set up and return image, label, and image width tensors
image, width, label, length, text, filename, number_of_images = mjsynth.bucketed_input_pipeline(
FLAGS.train_path,
str.split(FLAGS.filename_pattern, ','),
batch_size=FLAGS.batch_size,
num_threads=FLAGS.num_input_threads,
input_device=FLAGS.input_device,
width_threshold=FLAGS.width_threshold,
length_threshold=FLAGS.length_threshold)
return image, width, label, length, text, filename, number_of_images
def _get_input():
"""Set up and return image, label, width and text tensors"""
image, width, label, length, text, filename = mjsynth.bucketed_input_pipeline(
FLAGS.test_path,
str.split(FLAGS.filename_pattern, ','),
batch_size=FLAGS.batch_size,
num_threads=FLAGS.num_input_threads,
num_epochs=1)
return image, width, label, length, text, filename
def _get_input():
"""Set up and return image, label, and image width tensors"""
image, width, label, _, _, _ = mjsynth.bucketed_input_pipeline(
FLAGS.train_path,
str.split(FLAGS.filename_pattern, ','),
batch_size=FLAGS.batch_size,
num_threads=FLAGS.num_input_threads,
input_device=FLAGS.input_device,
width_threshold=FLAGS.width_threshold,
length_threshold=FLAGS.length_threshold)
#tf.summary.image('images',image) # Uncomment to see images in TensorBoard
return image, width, label
def _get_input():
"""Set up and return image, label, and image width tensors"""
image,width,label,_,_,_=mjsynth.bucketed_input_pipeline(
FLAGS.train_path,
str.split(FLAGS.filename_pattern,','),
batch_size=FLAGS.batch_size,
num_threads=FLAGS.num_input_threads,
input_device=FLAGS.input_device,
width_threshold=FLAGS.width_threshold,
length_threshold=FLAGS.length_threshold )
#tf.summary.image('images',image) # Uncomment to see images in TensorBoard
return image,width,label