Combine two YOLO models

[Benjamin1]

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

[Iffa_Intel]

Greetings,

This is an example of how to use multiple models in one application:

https://software.intel.com/content/www/us/en/develop/videos/part-6-multiple-models-in-one-application.html

Sincerely,

Iffa

[Benjamin1]

Hi, thanks :), I had already seen that video, however it does not explain how to do it with python.

Regards

[Iffa_Intel]

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:

https://docs.openvinotoolkit.org/2018_R5/_samples_pedestrian_tracker_demo_README.html

This should apply to any demos for any language. Again don't forget to use -h command.

Sincerely,

Iffa

[Benjamin1]

Hi , thanks , which I have to use for two models that detect different objects (for example 2 different yolo models).

I did not find any script that has those requirements.

[Iffa_Intel]

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:

https://www.youtube.com/watch?v=FaqVhvJ6-Uc

OR

https://www.youtube.com/watch?v=cbdS3BjjbaQ

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: 

https://www.youtube.com/watch?v=HEntm0TUqM8

Sincerely,

Iffa