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All right, guys.

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So now we will test our model on live webcam.

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So I will open PyCharm.

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You can use any other ID if you want to run it on Visual Studio.

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You can also do it if you want to run it.

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Anaconda prompt.

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You can also do this.

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If you want to run this on Spyder ID, you can also do this so it's all upon your choice.

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So first I will create a new project over here file.

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Uh, just click on new project.

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And you saw no mistake.

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My grand directory.

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So will go to.

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If you project practice our folder here.

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Create a new directory for the directory name like Webcap.

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Okay, so this is the name of my directory.

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Okay.

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And where it is.

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Okay.

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And let's create a new folder over here.

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So we have created a new project over here.

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Now I will just copy these two files.

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This is my weird file, and this is the prediction script to test a model on the live webcam.

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Okay, so just copy these files from here and just paste this files from here.

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Okay.

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So now I will open the PyCharm and just I can find these two files over here.

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So here from Ultralytics import YOLO.

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So it will import the latest YOLO yolo v8 version that I have initialized YOLO V8 model with the variable

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model name and then I have doing prediction.

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So prediction predict method takes all the parameters of the which we usually pass in the command line

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interface like source save is equal to true means to save the output and then confidence score.

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And the save dash text means to save the bounding boxes.

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Details.

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Okay, so here I think I should write so is equal to true and confidence.

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One is here and then save dash.

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Dash.

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I don't think I don't need this so just can save and then open the terminal.

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Just save this and run.

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-- predictions.

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Dot py and click one enter and let's see what results do we get from here.

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So let me wait until the webcam opens.

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So I have I am only wearing the mask.

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I am not wearing the protective personal protective equipment.

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Okay.

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So let me go get back.

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So it's just so it's just take that as a dust mask.

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Okay.

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So I'm not wearing any other equipment, so it will not be distracting.

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Okay.

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So I'm not wearing a yet either.

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So.

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Okay, So my point, detecting the dust mask, it's detecting the sheet as well as the because I have

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set the confidence value very low.

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So you can see that the confidence value is very low.

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So that's why it's detecting the or the glove.

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So we can see that the model is performing fine on the live webcam as well.

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So these are the results of the model on the live webcam.

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So this is all from the personal protective equipment detection project.

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I hope you have liked it.

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See you all in the next video.