AI_DL_Assignment / 5. OpenCV Tutorial - Learn Classic Computer Vision & Face Detection (OPTIONAL) /29. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle & Stars).srt
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All right.
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So we've reached a second many projects here ship matching.
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So what we're going to do.
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We're going to take an image that looks like this here with five different images one identify each
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ship put the name of the ship inside of the ship here.
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And as we all change the color of each ship.
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So let's get started.
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OK.
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So let's get started with opening the code for a second mini projec that's lecture four point five bring
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it up here.
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OK.
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So I'll just tell you beforehand even though the code looks a bit lengthy and maybe a bit confusing
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it's actually quite simple.
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So let's run the code for this and get a idea of what's going on here.
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So D.S.O. input image here with our ship's unlabelled and everything black and white.
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There we go.
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Stuffings you one by one.
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Here's a star.
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Here's a circle triangle rectangle and a square.
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Cool.
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So let's see how it's done.
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Seriously what we do we LoDo image in here.
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As you can see when we brought up the image here there was just black and white image here.
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So it is known really the Trishul just have troubling here because it's actually become maybe about
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half that now.
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But the most important thing to do is actually to grayscale the image here.
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So loading the image here into a fine control function we use these parameters here an approximate none
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retrieve list which gives us all our contours and we have we get extractable Cantos here.
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So stepping true to us here.
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Do you remember dysfunction function approximate poly.
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DP Well what we're doing here just in case there any edges or any of the C's that are considered when
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we are finding Contos which happens quite often use approximate contours to get the approximate shape.
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So these are parameters that are fine tuned for it here.
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However feel free to justice as you see fit.
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So we have our approximate value here.
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Proximate Contos here sorry.
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So what we're doing now we're checking the length of each approximate Quanto if it's tree because that's
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all approximate that Quanto a sheep then we obviously know a tree polygon a three sided shape or a story
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shape retrieve.
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The disease is a triangle that took a while to see.
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So then we actually draw no or Cantal tell this is CND here we draw over that image and then using the
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moments just as this is just done so we can actually place our attacks in the image here and you may
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have.
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We've done this before but you may have noticed I put minus 50 here.
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And the reason they put minus 50 an x axis is because since it starts at the bottom right or bottom
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left corner the tech protects here.
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I just want to pull back the text a bit more that we had just with this text and image.
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Oh this and maybe I can do it for that for you if you want.
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But putting the minus 50 here detects was sort of like skewed across the image and it didn't look too
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nice.
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And this is a fun color we are using which is black and thickness and font size.
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So there we go.
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So that's homemade and defy if it's a triangle here.
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So pretty simple so far.
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Hopefully you follow me well.
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So what about if it's for say that shape.
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Here's what gets a bit more complicated because we have foresighted ship it can either be a square or
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rectangle.
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So again doing the Mormons and getting the bounding story getting to woman's Foose just to get labels
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done right.
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We find actually the bounding rectangle here not a bonga rectangle was done so that we can determine
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if div foresighted shape we have found here is a square or a rectangle.
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So how do we do that.
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So what do we do we basically just compare the Derwood minus to height.
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As you remember.
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When you use Boulding rectangle width and height are basically pixels.
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It extends from the x y point.
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So I imagine in most cases being x y point top left there isn't destruction.
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Height isn't destruction if it's a square.
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Those those values should be roughly similar.
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So I have here is the absolute value of W minus H is less than or equal to tree.
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Then it can be classified as a square.
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And we do it we draw it again.
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This is DiCarlo we're actually filling in the minus ones to fill the image.
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The control this is a color we're using here.
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And we're putting the text in the center again.
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So now we want to star.
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No when you actually run it to run start to it you realized is four is actually five witnesses in a
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stall and that's pretty much how we then define a style similar to the triangle.
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And again circle cycle basically we just said anything could be more.
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Anything that's more than 15 VDC is will be a signal.
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Now this could have been started that 11:12 I just have it set it for 15 minute because it gives We
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actually got more points on a star maybe maybe because I was tuning this beforehand.
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Maybe it just sort of been set 11 that doesn't matter right now because it's still identifying this
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signal because as you can imagine even with some unless we do some very non granular approximation a
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circle is going to have a lot more points and 15.
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So there we go.
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So let's run this one more time.
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And we have labeled all the images correctly here.
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So congratulations you've completed your second many projec hopefully learned a lot by using this project.