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You know, we will see how we can run YOLO on Windows.

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So first of all, I will just click over here, click on new and create a new directory and just write

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Running YOLO V8.

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Indoors.

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Okay, so I've just created a new directory by the name running YOLO V8 windows, which you can see

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over here.

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And I've just click over here, click on new and create a file Yolo v8-video.py file.

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Okay, so I will just copy the code which we have in the yolo webcam.py file and just paste this code

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into the yolo v8-video.py file.

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So what change will make before explaining that change?

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What I will do is I will just go to over here and let me show you a video sample video.

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So I've just created a folder over here by the name videos.

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And if I just open this folder, you can see a video by x dot mp4.

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So now I will just perform prediction on this video and I will see whether my able, my model is able

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to detect the person and the bicycle over here or not.

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So what I expect is that my model should be able to detect the person and the bicycles because I'm using

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YOLO Pre-trained weights and the Pre-trained weight Pre-trained model is being trained on the Coco dataset,

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which can detect 80 classes and the class.

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And among those classes we have the bicycle and the person class as well.

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Okay, so just close this out and uh, in the cv2.video capture zero.

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Just passed up this path.

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So I will just write dot dot.

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It means we just need to go outside this folder running your V8 windows or running your V8 videos.

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I think this should be the name of this folder, should be YOLO V8 videos, but now I've just created

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it, so we just need to go back to this folder from this folder and just go to the videos folder, right

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videos.

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And in the videos I will just like bikes dot mp4.

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Okay, so bikes dot mp4.

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So just select this out from here by just writing dash.

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Okay.

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Okay.

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So I think that would work perfectly fine.

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Okay.

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So I'm just using the bikes dot mp4 and redirecting towards this directory.

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Okay.

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So.

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Let's just run this and see what output do we get?

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So just click on Run YOLO V8 video.

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For.

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I'm just running this script file and let's see what output we get.

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If there is an error, we will definitely fix it out.

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So now you can see over here we are able to detect the bicycle as well as we are able to detect the

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person.

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We have the confidence score along with this as well.

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So the detection results are quite impressive.

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Like we are able to detect the person.

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We are able to detect the bicycle.

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We are the label bicycle.

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We have assigned the label person and the confidence score we also have over here.

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Okay, so that's perfect.

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Like you can see over here, we are also able to detect a traffic light over here as well.

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We have created a bounding box around it as well and the results look quite impressive.

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In short, you can say that.

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This is our deserts.

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What I was expecting and.

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And amazing.

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So let me just stop this video and see if my output video is saved.

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Output detection video is saved into this folder or not.

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So I will just go over here, run YOLO, V8 windows and this is the output file which contains the output

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video with detections.

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Okay.

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So now you can see over here we are able to do detections like you can see that we have created a bounding

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box around the bicycle.

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We have also created a bounding box around the person as well.

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Like you can see over here, we are able to detect textures.

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Thus, we have also assigned the confidence score and the label as well.

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So the results are pretty impressive.

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Okay, so now till now we have done detection on images, videos and the live webcam feed as well.

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So we have covered half of the part like we have in this from the start.

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We learned how we can install Python, how we can install the PyCharm Community edition, how we can

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run your own images.

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We have also seen that how we can run your own videos and how we can run your own webcam as well.

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So in the next part we will integrate YOLO V8 with class.

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Okay, so let's see you all in the next part.