Using deep detector
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See the person.jpg image and run camera.py to save a similar one with your face.

Study and use the faceDetector, exit by quit()

Study and run the faceDetection system. Since deep models could be slow 
(depending on hardware) we employ the camera agent as in lesson 4.

Try to occlude your face with your hand, translate, rotate, scale, and observe effects.
Try to modify the threshold (0.5), its range is 0-1.

If you have GPU, use 'g' to switch from CPU to GPU. At the first, your program
gets stuck for several seconds, but then the displayed frame rate increases.
Can you deduce why the program has stucked?

Work with the robot that is running an analogical model. Moreover, it detects 
the emotion of the found face. It aims to go forward when you smile and backward 
when you are angry. Test the solution. It may work fine; you may find 
it is not working correctly for your face. Try to work around the problem,
e.g., use another kind of emotion that the detector senses on your face more accurately.
