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Hi, welcome to this new video, a you see, my environment looks different now because I'm not using

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Rebel for this particular video, I'm using a desktop based I.D. by charm to be exact.

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I'm not using a rebel because in this video, we're going to access.

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A computer device, the webcam to be exact.

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And because Ripple gives you a command line based, the Linux interface, you don't have access to the

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webcam or that's computer.

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It's just a server.

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It's actually a virtual server within a physical server.

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So you need to be able to access your computer a webcam to be able to follow this video that could be

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your laptop integrated webcam, or it could be a USB webcam.

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Also, so any webcam will work.

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Or it could also be a mobile phone connected to your computer through probably a third party app, which

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allows your computer to access the camera of your mobile phone.

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And then, with Python, you can access the video of the webcam.

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So what we would be doing in this lecture is we're going to write a script which detects faces in the

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webcam stream, so in real time.

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So I'm using my charm.

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You can use visual studio codes at home, whatever I.D. that you use in your local environment.

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I'll make sure that open service is stored in my environments.

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So PIP 3.9 install over CV Python.

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Yes.

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So open was installed, then I'm ready to create a main.

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The PUOi script here, so I'm just going to copy the code that we built previously where we detect faces

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in a video file.

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So that's the code.

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We only have to change a couple of lines to make this code work for webcam video.

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So the main object here is the video object, which we got from that file.

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Now, if you want to get the video from the webcam, then you want to remove that path and just place

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an integer.

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If it's zero, that means the first webcam of your computer will be accessed.

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If it's one, it could be the second webcam.

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For example, you might have a laptop and you might have also a USB cam connected to your laptop.

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So you have two cameras with zero.

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It's probably the integrated camera with one.

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It's probably the second camera.

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So I'm on a laptop, so I'm going to use zero here, right?

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So we have that.

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Then we have the highlights of the frame, the width, the face cascades.

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We need that also.

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And then we have these lines here.

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So we want to roids the video of the webcam in a file.

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So we want to keep these here than we have for success.

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We did take the faces.

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We draw a rectangle around the frames and then we write the frame in that output video.

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Prince Collins called for the release.

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So that's it.

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Let's run this.

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Oh, I don't have the Facebook Cascades five eczema.

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So let me upload that quickly.

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It it is.

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Just going to drag and drop it here.

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Yes.

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Faces that smell.

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Yes, that's it's run again.

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So my script is surrounding, but my camera has not been turned on, so maybe I want to try one here.

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Run again.

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Yeah, this time my camera has been turned on and it's probably recording, so I'm going to stop it

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now.

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And see what output that's Aivi is.

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So I'm going to open Vats in a folder and open into V. A. C. That opens the videos successfully.

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So that's me.

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Yes, it's worked.

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And that's a complete cause.

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So that's code shows how to record video from the camera and save it in a video file.

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And also, you saw that there was a rectangle around the face, although not 100 percent of the time,

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because the video was quite a low quality and better lighting.

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But anyway, this is how you do it with open CV and Python.

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So thank you, and I'll talk to you later.