Hi @dolrie23 👋🏻 Yes! LineZone.trigger method returns a tuple consisting of two boolean numpy arrays. The first array identifies detections that have crossed the line from outside to inside, while the second array identifies detections that have moved from inside to outside.

This allows you to filter out objects that have crossed the line quickly.

crossed_in, crossed_out = line_zone.trigger(dtections=detections)
detections_in = detections[crossed_in]
detections_out = detections[crossed_out]

Then, we can obtain information about the class of the objects we are interested in.

class_id = detections_in.class_id

Thank you for the very quick response, I do appreciate it. I have tried using the code you suggested but it doesn't give me the class information I need every time an object passes by.
I am curious, does the code work for classes that use Yolo-World?

Hi @dolrie23 👋🏻 Sorry I didn't notice your answer.

I have tried using the code you suggested but it doesn't give me the class information I need every time an object passes by.

What do you mean? What happens?

I am curious, does the code work for classes that use Yolo-World?

It should work with YOLO-World as long as you use inference or ultralytics packages to run it.

Please check https://supervision.roboflow.com/latest/how_to/filter_detections/

Also check examples/how tos/cookbooks as well.

@viniFiedler, thanks a lot! 🙏🏻 Let us know if that resource is enough. Here you can find a slightly more advanced example.