# these imports let you use opencv
import cv2 #opencv itself
import common #some useful opencv functions
import video # some video stuff
import numpy as np # matrix manipulations

"""
Explanation: Running this tutorial without Jupyter
If you are running on your own machine then install the whole tutorial. If you're running somewhere else... maybe in Aber Comp Sci Delph ... then you need to run standalone OpenCV. This is installed in the uni.
First we need to import the relevant libraries: OpenCV itself, Numpy, and a couple of others. Common and Video are simple data handling and opening routines that you can find in the OpenCV Python Samples directory or from the github repo linked above.  We'll start each notebook with the same includes - you don't need all of them every time (so this is bad form, really) but it's easier to just copy and paste.
End of explanation
"""


#the following are to do with this interactive notebook code
%matplotlib inline 
from matplotlib import pyplot as plt # this lets you draw inline pictures in the notebooks
import pylab # this allows you to control figure size 
pylab.rcParams['figure.figsize'] = (10.0, 8.0) # this controls figure size in the notebook

"""
Explanation: The following box is useless if you're not using a notebook - they just enable the online notebook drawing stuff.
End of explanation
"""


