Finding 68 facial landmarks in images

In this section, we're going to see our first example, where we find 68 facial landmarks and images with single people and with multiple people. So, let's open our Jupyter Notebook for this section. Take a look at this first cell:

%pylab notebook

import dlib
import cv2
import os
import tkinter
from tkinter import filedialog
from IPython import display
root = tkinter.Tk()
root.withdraw()
#Go to your working directory (will be different for you)
%cd /home/test/13293

We've got to do some basic setup, as we did in the previous chapters. We're going to initialize %pylab notebook. Again, that will load NumPy and PyPlot and some other stuff, and we're going to perform notebook for now, which will be good for close-up views of images, though we're going to switch it to inline for the second example because we'll need that...