I guys.
Come back in this less than we'll be training a hardhat detector that can be very useful for construction
sites or sites where you need to wear specific PPE gear.
So let's take a look.
So let's open the book 50 and we'll begin to listen.
So this is what we're trying to identify here.
What do these hard hats are being worn?
So you have to identify the hard hats, essentially.
So again, this is a rubber floor notebook that I've adopted here.
So I've heard you run most of these cells already except the treat, except for the infrared cells,
because the model is being trained right now.
However, you can see how long it takes.
The first one takes about 10 seconds and about a minute, and then about 10 seconds here.
These are all set up and install commands.
You don't really have to know what's going on too much.
I mean, it would be good if you wanted to dig deeper and understand exactly what's happening, but
all of these models have the environments.
Settings did different requirements, different parameters you need to set initially, and it can get
quite confusing.
So I suggest if you wanted to understand one of them quite well, maybe take a look at your little vision
five with PI torch, which is coming up quite soon, maybe next to lessons or record that video and
maybe take a look at eficiente detect because efficient detect as well as detection are quite useful
as well.
The others may be less popular.
Our CNN's SSD stores on those popular anymore, but you can still bring those here as well, so it's
up to you whatever you want to use.
I would recommend you a little fish and five for pretty much all of your object detection tests.
So let's move on.
So we've done with the data here.
It's not a very big dataset and you can see the images there.
Then we just create the directory as we place the data in the right directories and then we can start
treating our efficient detect.
We're going into creating an efficient detect D0 zero model.
I believe we set that up to me, which actually drains quite fast because the D0 back backbone is quite
compact and quite small.
So let's take a look and no training here, and you can see this is the training output that we can
see.
So it's already started first epoch here.
It's going, it's going to take quite long, as you can see to me, a 12 percent and has 100 epochs
to go.
So it's actually not quicker to go back and I'm pretty sure it is using you, but I can just double
check.
Yeah, just using GPU.
So either way, let's take a look at what the inference looks like if one of his images and you can
see yes, soon got the helmet right.
I don't know if this is a helmet actually thinks it is, and it might be a helmet.
Maybe it's from a guy who is not properly in the scene, like you just leaning forward from Stanton
standing right here?
Who knows?
But that's it for this lesson.
This lesson did not have a lot going on, and it is just a nice and simple, effective way to train
a hard hat detector object detector.
So thank you for watching.
And stay tuned for a very cool medical image project.
We're going to take a look at the blood cell effect of using the old model.
You you'll efficiency, but it looks fairly well.
So stay tuned for that lesson.
Thank you.