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Hey welcome to this new section and
throughout the lectures of this section

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you are going to learn computer
vision with. Python I'll explain computer

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vision in a minute. So that's what we're
going to learn in this section

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and then in the next section we'll build
an application that detects moving objects

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from the computer webcam and stores
and visualizes the times when the object

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entered and exited the video frame.
So that's an application area of

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computer vision. Now, maybe you have an
idea of what computer vision is, but if

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not I'll explain it now. So computer
vision is the field that deals with

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acquiring and processing images and it
makes decisions based on the, on the

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images, so you pass an image to the
computer and the computer tries to understand

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it and it can do certain things such as
it can tell you how many faces

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there are in the image, and what
color dominates the image and so on.

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Now, computers are dumb. I mean you
have to tell them what to do exactly.

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That's where Python comes in. We'll use
Python to load images and process them,

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and do things like phase and motion
detection. Now vision includes both

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images and videos because videos are
simply stacks of images that show very

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fast. So computers and therefore Python
use the same commands to read images and

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videos and you can do computer vision
with Python using OpenCV. OpenCV stands

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for open source computer vision and
is a library used not only in

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Python, but in other programming
languages as well to do computer vision

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tasks. So in this section I will
introduce it to OpenCV and you will

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learn how to use it by detecting faces
from images. And then in the next section

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we'll dive deeper and
process videos with OpenCV and detect

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moving objects in real time webcam video.
So yeah, that's about this lecture and

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let's move on and quickly set up OpenCV
in the next lecture, and then work with it

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after that. So yeah, thanks
and see you in the next lecture.