Original subtitles

In this video, we'll tell you how to use your office seven to detect the object classes in an image.

But first, YOLO v seven must be successfully installed and which must be downloaded to begin.

Press the Windows key then type Anaconda.

Click on any kind of prompt.

After that activate the all of seven CPU environment used to commands activate.

Jollof is seven to for you and phe.

Press internal.

Then navigate to the all of seven zip route folder.

We will detect objects in the image here, but the source is a folder containing several images, not

a single file.

Use the following command.

Python detector PI.

That's.

That's why it's all of seven.

We use 0.5 in contrasts.

In the image size.

We use 640.

In-source we will detect in the inference images folder.

Use the few image argument.

Use the safety argument.

Chris intro.

Went for the detection process to fitness.

Because it uses the few inmates argument, the detection results will appear like this.

The detection results will be saved in the folder listed below.

We open Windows Explorer to see.

Then navigate to the all of 73 use route folder.

Navigate to the folder containing the text and results.

Here are some object detection results obtained with the goal of seven.

Because it uses a 0.5 threshold.

The detection results will only sell objects with a score greater than 0.5.

Then because it uses the safety argument, the detection results are stored in a file.

The file is saved in the labels folder.

This is the file where the text and results are safe.

This file contains the class ID, mid-point, width and height, bounding box information.

The next video will explain how to detect objects on video and webcam.

See you in the next video.