And welcome to another facial recognition video in this video we're gonna be talking about is doing facial recognition on video and then kind of expanding our our logic and code a little bit from there.

So just to do something a little more interesting So where we left off, we were basically just We're doing this on images and we had this known faces during the unknown faces turn unknown faces is where the images were that we wanted to do a facial recognition on see if hey, do we know this face?

So now we want to use video instead of the Unknown Faces directory.

So what?

I'm gonna go ahead and do just comment that out, and we actually aren't gonna need the unknown faces director anymore because really, it's gonna be our video file or video source that is going to be the unknown faces.

So the next thing we want to do is actually load in that video.

So I'm going to say video equals whoops.

I'm going to say video equals C V two dots video capture, and then here you'll specify either kind of an index number for that video.

So it's either video 012 and so on.

In my case, that will be a video to Otherwise, you also could Could put in a file name here as well.

And later on, we are gonna use a video file.

But for now, I just want to use a video feed.

Since I think a lot of people were interested in that as well.

Plus miles will show both.

So Okay, so now we have our video feed, we're still gonna load in our known faces.

That's fine.

And then the only other thing that really changes is here.

So instead of saying for file name, we're actually gonna put this in a while.

True loop.

And then we don't need file name anymore.

We don't have the thing that's gonna replace image now is going to be reading from our capture.

So instead, we're going to say, actually, it's gonna be Rhett and that image, and then we're going to and that's just, like, return image.

And then it's video.

Don't, uh what is it?

Is it capture?

I think I always forget this video.

Yes, we do.

Okay, so s o video read.

Now we have our image on.

Then we do it locations and coatings on.

In this case, we're actually already using, um, open CV to get the image So we don't need to do this conversion anymore because it's already mpg are.

In theory, you might need to do the conversion before the encoding sze I suppose, or even locations.

But it seems to me through playing around the face rec works no matter if you're using be gr rgb so I don't know how big the impact color is playing.

If anything, it might even in the back end become burning things to gray scale.

For all I know, if you know, let me know.

I actually do not know what they're doing at.

Like I said, I wouldn't be surprised if they convert to gray scale at some point.

Okay, so then we show the image.

Wait, can we no longer need a wakey?

And so we want to do is have this running kind of indefinitely.

So instead, what we're going to say is, we're gonna throw in that kind of if cv to dot wait key one on and then this is the code for and zero lower case X capital F F vehicles warm que Basically if the user presses the cuchi, we want a break And then because I'm on ah boon to I guess destroy window just is what does not work on a boon to So So one thing that Daniel was saying was one way around this is you could just try and accept So you can try CV to destroy window except pass and just be done there because I guess for some reason I have been to that, this function just does not work so very interesting.

Okay, with that, I think I think that's everything.

I've got my trusty Web cam here and let's see if that works.

Let's pull this up.

Python.

I've renamed this file to be video face rec Example that pie.

Let's go ahead and run that it's gonna load in our known faces, which really is just my face.

And as you can see, that works decently.

Well, obviously, as the face starts to come up a little bit more, you start to, like, lose Thea the face, but not bad.

Okay, so let's go impress Q.

And that should be everything you want for video from a video either a video file or a video feed.

The same thing is goingto work.

You'll have your known faces.

You'll look.

But to me, that's a little boring, because that was like three lines of code.

So now what I want to do is taken Orwellian turned, and I'm going to say from our video, either video capture device or a video file, because I don't really have lots of people passing by and said, What I want to do is I want to start labeling, giving people i D.

S.

So imagine you running like an office building or a school or something like that where, you know you have a bunch of people that are commonly coming through that area.

So it's very common to see common people.

But it's very uncommon to see uncommon people.

And then there's other places where it's a little more rare to see common people, so think about like any place where travelling.

So if it's not an employee or something like that, seeing like, let's say you're at an airport seeing common people that have no good reason to be there commonly that's a weird thing, right same thing if you depending on your office building, right.

There's some places where you might have a bunch of employees that you expect to see commonly.

But then, if there's some new face that has no reason to be there, commonly you've got a problem.

So these are kind of typical security issues that are faced by businesses and stuff like that and even government buildings kind of the same thing.

So what can you D'oh Well, using face rec, we can actually do this.

Quite simply, we can find out either we can find out both of those questions.

Who are the common people who are the uncommon people?

And any time an uncommon person shows up, for example, we can find out, like, instantly.

So, um so, yeah, so what we're gonna do now is, rather than using the video capture, because I'm the only person in the room right now, we're going to use a video file that I created, So I will do my best to share this file if I forget someone just remind me.

But it's basically just me holding up my cell phone and swapping through photos of various individuals and actually I think I don't know how many total we have made.

Five.

We got Obama Trump.

Uh, Ellen Mosque.

I think maybe they're sworn with.

I thought there was a Joe Biden one.

So, yeah, there's their biden.

Any way you could do this with an infinite number of photos if you wanted.

This is just a quick example.

I just made it purely for debugging purposes.

So now what we're gonna do is rather than the loading in the the webcam I'm gonna load in that video.

So face face was face rec video video dot mp four.

So that's all you have to do because that video file is local tow tow.

What?

Where I'm working.

The next thing is, we want to actually, rather than doing really anything else.

What we're trying to do is a sign, Um, assign i d.

S to, uh, to people so we don't really care about names anymore.

We're gonna be working on I d.

S later.

If you wanted to actually name these individuals, you just have a dictionary that maps ideas to names.

But that's not really what I'm going for the moment.

So instead, what we're gonna say is we're gonna We're gonna load in known faces and known names.

Ah, the other thing we're gonna do is because we're working in I d s so known faces right now has names, but soon it's gonna have I d s.

So instead, what I'm gonna dio is I'm actually gonna make a copy of known faces just in case.

And then I'm actually gonna tow everything in known faces.

So right now we're starting a clean slate, but later, this will have ideas in it.

So, um, gonna minimize this and inside those ideas rather than having images now, we could save an image.

So when you grab the location of the face you could do it's our ally.

I can't rember his region of Inter.

I think it's region.

Whatever it is in CVI to it's our ally.

You could grab that and then save that in the directory that way Later.

If you are doing like some debugging or something, you could see, um, you could see, like, who is this person?

Actually show me a face of this person and then later you could compare that that face to a known database of people.

So again.

If it's an office building or something, you've got headshots of all the individuals for their I.

D.

S.

Or whatever the case, you could very quickly label all those individuals when necessary.

S o.

We don't need the image anymore.

For now, though, do that.

The encoding, and instead, we're gonna do now is we're going to save the encoding, because again, we don't care about the image so much.

So having the image that encoding the image just kind of makes the upstart time take a while.

So instead, we're going to say is encoding Rather than Equalling that Russia going to say encoding equals on, we're gonna import pickle.

I don't think we have yet.

Yeah, import for pickle.

And we're gonna dio is for pickle are encoding Eagles Piggott load and then we're going to love the open of file name, Open file name.

Um And in fact, it should be, uh, for named Noah.

Stop, lister file name and office.

Alistair.

Um, I shouldn't be.

I guess we would actually really see four name.

Uh, Okay, so four file name and then we will say is name, file, name.

So we're gonna open the file name.

I'm pausing on that for a second because I'm pretty sure I've used just open file them.

And that worked.

Which is odd to me that pickle would do that successfully.

Anyway, I have to come back to that.

That's how rich your work.

And that doesn't make any sense anyway, so we wanna open that file, Uh uh, and we want to or be so that will be our encoding object.

And so I'm gonna comment that this one out as well.

Okay, so now we have the encoding, and what we want to do is they known faces.

We haven't had the penned the encoding on here.

No names.

We depend the name, which again, in this case is going to be an I d.

Then what we want to do is right now we're starting clean Senate slate, but eventually we're probably going to start with at least some ideas.

So what we're gonna say now is we're gonna say if Len, uh, known names greater than zero.

So if we have more than one arm or what do we want?

So what we're gonna say the next idea that we're going to sign is able to max known names because we'll just be a list of I.

D s plus one and then Max of known names.

I can't really decide if I encoding this might also need to be an end.

Now that I'm thinking about it, I think we'll do that.

Let's say we get away with that, um and then else lt's next I d will start at zero.

Cool.

So now what we're going to dio is we load in yet All this stuff comes in, we're iterating.

And then basically the only thing that really now needs a change is if true, we made a match.

If we didn't, right, where is a else?

What we need to really know is, you know, what's the next idea?

So we're gonna say match equals string next I d.

And then we want to say next I d plus equals one.

And then, like all this stuff, this stuff we actually just want to do regardless, right?

So we're actually gonna untapped over all those things.

Um, and I think the rest of this remains so I'm trying to think here if we screwed anything up, but I think the easiest way to find out is to just run it.

So let's see what happens.

Surely we get at least an error.

U Um Okay, so where is our CV to daytime show?

Here is so and so we'll just make this empty, empty quotes.

This is the video title, by the way.

And we were putting file name there because we wanted to show for the unknown faces file name, but we don't want to do that anymore is we don't have unknown faces.

We'll see what happens this time.

Okay, so this time we are getting constantly a new i d every single time for that face.

So let's go ahead and quit.

And ah, what we What we did not do is what we need to do is upend right.

We need to do way more things here.

So the other thing I don't think we saved any.

So we have We've got a lot of things.

I don't know why I thought that was ever gonna work.

Um, okay, so we do the next i d.

But then what we need to do is known names we're gonna do dot upend, uh, match.

Not next.

I d otherwise, we continue raising that up.

I just need a lot more coffee this morning.

No names on then known underscore faces dot a pen, Um, in this case for face.

So this would be facing coating.

So we'll save those two things.

And then what we want to do is save now that we've got this new encoding and it's only when we have a new encoding later you could save more and I'll talk a little bit about some of the logic I thought of toe like add more faces.