Hi, I am trying to put together two YOLO models to detect different objects. I would like to know if there is a code(in Python) to do this easily, I am using the object_detection_demo_yolov3_async.py, but it only works for a single model (for example the generic YOLO for 80 classes).
I would also like to know if a YOLO model can be combined with any of the pre-training models from the intel page.
Thanks a lot
That actually depends on which OpenVINO application you are running. It's good if you apply -h to it to see what they support. For instance, the Pedestrian Tracker demo uses two IR models.
You may refer here:
This should apply to any demos for any language. Again don't forget to use -h command.
Actually, if you are just trying to differentiate between two objects you don't need to use two models.
Instead, train the model to differentiate the objects like here:
However, if you are trying to detect text and audio OR detect face, age and gender, then you need to use different models like here: