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Hi and welcome back to the course.

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So, listen, we're going to take a look at now is implementing tilt shift effects.

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So many of you may not know it till till the shift affects us.

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So this is to open the book here to download your images and important functions.

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We actually don't.

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Oh, this is probably still saw this before, but if you have too many notebooks, open call up tells

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you that you can have.

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You can't have more than five open.

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So it tells you that you have to to me some.

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So we're finished with all of these here.

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So let's go ahead and terminate all the previous lessons that we were running before and close this.

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So now we can run our code and load our stuff.

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We don't need to live here anymore, so let's just get rid of it.

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And there we go, so everything should be imported now.

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There we go.

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So tilt shift before I go to this good tilt shift is an effect that takes our normal standard image,

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usually off like landscape of a city or top down something just that's pretty and actually makes it

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look like it's a miniaturized model.

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Now, how does it make it look like a miniaturized model?

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It does that by sort of focusing on certain areas and then blurring certain areas, sort of like the

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fake bulkier book, the photography term for lens blur.

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So when you have a low aperture like an aperture of f 1.8 or 2.4, the the focal point.

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Let's say you're focusing on an object or a fierce that's close.

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That remains in focus because the narrow focal plane there, but everything else behind it is very blue,

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Larry.

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And that's a good effect as affected photographers want because it sort of looks like it looks nice,

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looks high quality.

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The fierce, super sharp background is blurry, so it brings a face into focus.

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So that's what that's what blurring the subtle shift is the type of effect that implements this blur

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in the foreground of the image and sort of lives.

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Background a bit.

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But it does it in a way where we kind of have basically miniaturized model look effects, which you

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will see literally outputs instead of just talking about it.

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Let's take a look.

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The outputs, let's scroll down.

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This good is fairly low because it's very well commented, but it's not that complicated.

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So this is the original image here.

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Whoops.

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What did I do?

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Sorry, but it's not sure why it's scroll all the way up to the top.

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So this here this is the original image, and you can see now in the tilt tilt shift effect.

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That image you can see here is much more blurred, whereas here is in focus.

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So it sort of gives you the impression of that.

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This is a miniature model that actually does look like that to me.

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So this is a pretty cool implementation of it.

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Next, we have these boats here.

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This is the original image, and this is a tool shift image.

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Less effective on this one because you can see this blue here and only here in focus, but nevertheless,

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it's a cool effect.

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So how does this work?

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So let's take a look at the code.

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So let's scroll up to the top.

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So the court has many helper functions.

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Has this generating canola?

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Reducing the image has expanding.

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I'm not going to go through all of these in detail.

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It's very well commented.

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So if you want, you can actually go through this code on your own and your one time.

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It may take you about a half hour to fully understand every single thing, but it's a very good exercise

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to do.

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So there's this Gaussian pyramid, which takes the images and generates different levels of skilling

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is to the +Y and pyramid this over here.

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And then there's a blend function, which blends Le Plus Jeune pyramids by weaving them according to

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the Gaussian mass.

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So it's complicated, but it's actually not super complicated.

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I am not going to go through this anecdote because it can get quite lengthy.

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However, it's a good exercise.

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The point of this lesson is to demonstrate how we can do it and not all of the background functions

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that does it.

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So apologies for that.

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However, if you do want a more detailed explanation of this, just message me on Udemy or just of posted

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in the student forum, and I'll try my best to explain it to you guys.

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There's this run blend function here dysfunction administrators, the blending of the two images, according

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to the mask.

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And then we get the images here, which is basically contains images from the fall.

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That's a pretty, pretty long function just to do something that's a bit simple.

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And we have a main function which implements the outer rim basically here.

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So we just give the images and the source will show the original image, play print, applying the lending.

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Then we just convert the types, get the channels, run blend, which takes this here.

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These inputs, the mask as well gets the outputs here.

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Outliers sit here, then merges them together because we have multiple images.

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Now we're moving to get the final effect and then we display the right image save.

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So we save it and then we display of here.

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So that's the end of this lesson, and I hope you enjoyed.

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I hope you have fun implementing tools of wide open TV.

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It's quite cool, and it's a very, very good exercise to read through this code in detail and understand

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all of the nitty-gritty if you want to get a deeper understanding of classical computer vision techniques.

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So that's it for this lesson.

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Let's move on now to listen to DX, which is using the grab cuts algorithm for background removal.

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Very cool.

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Listen.

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So I'll see you in that section.

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Thank you.