Original subtitles

In this video, we will do object detection.

First download the whole of seven states.

We open your browser and download the all of 7.0 and X file.

Wait until the download is finished.

When you're finished, go to the downloads folder and open the file.

Copy the words file and save it in the URL of seven python folder copy by pressing the control key.

Placed in the order of seven python, followed by pressing the control fee.

Then we open the command prompt to perform object detection.

We will first detect objects on the road and for video.

The command below.

Tighten detection.

Dot pie.

That's.

That's why it's your office.

Seven.

That's death Source Data Videos Roadmap for.

The new enter.

The detection results will then look like this.

So exit press Q.

If the Texan appears to be slow, you can use all of his seven tiny.

Enter the command below.

Heighten detection dog pipe.

That's that's why it's YOLO vs seven tiny.

That's death Source Data Video Roadmap for.

Then hit enter.

The detection results will then look like this.

The detection appears to be faster, but the accuracy is reduced.

Max detect objects in the image.

The only difference is that the source becomes an image.

The image uses forces dubbed JPG into the command below content detection dog type.

That's.

That's why it's your office.

Seven.

That's that source that the images horses not taped.

The net.

Enter.

The detection results will then look like this.

So exit press Q.

Next detect objects on the webcam.

If detection on webcam source becomes zero.

Enter the command below.

Fighting detection Dog point.

That's.

That's why it's your office.

Seven.

That's that.

Source zero.

Then it.

The detection results will then look like this.

In this example, there are four objects that have been successfully detected.

So exit press Q.

Congratulations.

You have successfully run the first Deep Learning program which can detect 80 different object types

in this video.

Only use the CPU to detect objects.

If you want to use the CPU, follow the next videos.

See you then.