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import glob
import numpy as np
import matplotlib.pyplot as plt

fig = plt.figure()
ax = plt.subplot(111)



def savitzky_golay(y, window_size, order, deriv=0, rate=1):

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import scipy.io as sio
import numpy as np
import scipy.misc

mat_contents = sio.loadmat('LungTrainingData.mat')
#matrix is of the form [x,y,n]

#['CT2', 'Right2', 'Left2', '__header__', '__globals__', '__version__', 'Trachea2']
images = mat_contents['CT2']
left_lung = mat_contents['Left2']

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from __future__ import print_function
import tensorflow as tf
import numpy as np

from glob import glob
import os

import TensorflowUtils as utils
import read_MITSceneParsingData as scene_parsing
import datetime

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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import state_ops
from tensorflow.python.framework import ops
from tensorflow.python.training import optimizer
import tensorflow as tf

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Install mopidy: ##N.B: You might need to do this as per instructions on `https://docs.mopidy.com/en/latest/installation/debian/`
`sudo apt-get update && sudo apt-get install mopidy` 

Set the mopidy to run automatically via `sudo systemctl enable mopidy`

Now we need to set up configuration files.

Since we're going to be running mopidy as a service, we need to edit `/etc/mopidy/mopidy.conf`(see https://docs.mopidy.com/en/latest/service/#service)

Add the following to to configuration file: