Let's play with AI.
Hello I'm Hideki, AI Coordinator.
Today I'd like to introduce you to an object detection system
that is very easy to implement.
Moreover, it can be processed at high speed using only the CPU.
Moreover, it can be processed at high speed using only the CPU.
Moreover, it can be processed at high speed using only the CPU.
You don't need a GPU to do it, which is very attractive.
The only library you need is OpenCV.
I recommend it for beginners in AI and Python.
The URL for github is in the comments section of this video.
The URL for github is in the comments section of this video.
The URL for github is in the comments section of this video.
Try it out.
Let me show you how to do it.
Launch Anaconda.
Let's build the environment.
You can name the environment anything you want.
Once the environment is created, launch the terminal.
Then download the code from github.
Then download the code from github.
After downloading the code, unzip it.
Then from the terminal, 
Go to the OpenCV_Object_Detection-master directory.
go to the OpenCV_Object_Detection-master directory.
Set up the environment using the requirements.txt file.
Set up the environment using the requirements.txt file.
You are ready to go.
Now try running Object_Detection.py.
Now try running Object_Detection.py.
You can run this fast without a GPU, using only CPU.
You can run this fast without a GPU, using only CPU.
And it's amazing how easy it is to do.
The camera images are recorded, so you can check them later.
The camera images are recorded, so you can check them later.
That's all.
That's all.
How about this?
You can achieve fast processing with simple code like this.
You can achieve fast processing with simple code like this.
I'd like to try it with Raspy.
See you soon.
