# Path: settings.py
# FLAGS = flags.FLAGS


import os
import tensorflow as tf
from tensorflow.python.platform import gfile
from settings import FLAGS
"""Convert data to TFRecords file format with example protos. An Example is a mostly-normalized data format for
 storing data for training and inference. """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function






def read_and_decode(filename_queue):
    """Creates one image sequence"""

    reader = tf.TFRecordReader()
    _, serialized_example = reader.read(filename_queue)

    image_seq = []
    video_id = None


# Path: settings.py
# FLAGS = flags.FLAGS


# Path: data_prep/model_input.py
import os
import tensorflow as tf
from tensorflow.python.platform import gfile
from settings import FLAGS

"""Convert data to TFRecords file format with example protos. An Example is a mostly-normalized data format for
 storing data for training and inference. """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function






def read_and_decode(filename_queue):
    """Creates one image sequence"""

    reader = tf.TFRecordReader()
    _, serialized_example = reader.read(filename_queue)

    image_seq = []
    video_id = None


    for imageCount in range(FLAGS.num_images):