Original subtitles

Okay, Then we will continue to detect objects in video.

The notebook use is the same as before the all of his seven notebook.

If you haven't already mounted Google Drive, run the three cells below.

After that, never get to the detection on video section.

YOLO 5/7 repository does not include any sample videos.

As a result, we provide a sample video for detection.

The video is the MP for.

The first cell is used to download the video.

Use the command g down, then link the video.

When the sale by pressing the following button.

After that place the video in the inference folder.

Use the command.

MP.

MP.

For inference.

When the sale by pressing the following button.

Then we try to see what's in the insurance folder.

Use the command less inference.

Next, we will detect the video roadmap for just like an image.

We cannot use the view image argument.

Use the following command to perform detection python detect dog p y.

That's.

That's why it's your office.

Seven.

We use 0.5 in the countries.

In the image size.

We use 640.

In-source read inference roadmap for.

When the sale by pressing the following button.

This is a detection process on each video frame.

Went for the detection process to Phoenix.

When finished, it will look like this.

Next, check the detection results folder.

Use the command.

Less runs the.

When the sale by pressing the following button.

The detection results can be found in the last folder.

In this example, the XP four folder.

We attempt to open that folder.

Why drive?

YOLO.

Five.

Seven.

Once they take.

XP for.

This is a video of the detection result.

We download the video.

Wait until the download is finished.

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

We open the video.

This is the result of object detection in the video, which is run on Google Scholar.

In the next video, we will explain training on custom objects.

See you then.