I have trained a YOLOv10 model with four classes: truck, bus, motorcycle, and car. The projects required me to add a new classes for pedestrians, how can I add the new pedestrian class by training the model so that I don’t have to manually label the images?

I am trying to execute a repo that I found in git hub, and in the execution of the code I got this:

When you try to close the window manually, opened through Python (I am using Visual Studio), the window closes for a split second before reopening. CLI allows the window to be closed manually but I would like to avoid using that so I can more extensively use YOLO later.

I am trying to execute a repo that I found in git hub, and in the execution of the code I got this:

What is this Yolo class for? How can I access this codes? What is the alternative way for replacing these codes?

In Yolov7, I use this code to test entire folder images.

I am trying to make an app that trains a YOLO model, and after every epoch saves the statistics somewhere (to be sent to another part of the app), and then continue training the model in the next epoch.

I want to train the YOLO algorithm to detect a custom text script (Amazigh) in images.
My pb is when i try to test my trained model. the model detect other classes in the test images like persons, clocks, … But does not detect my custom text script.