I have a question, is possible to add two or more different model trained with different object to create just one model with all this objects??
so I explain me better:
for example I have three models trained separately with three different objects (three different frozen_inference files)
model 1 = face,
model 2 = lamp,
model 3 = chair....
my question is :
can I take this three different files and make just a file froze_inference (model_tot = model 1 + model 2+ model 3) without to re-training the dataset for to get the output model with face,lamp and chair?
many thanks for your help.....
Thank you for patience.
Unfortunately, it’s not possible to inference multiple models as you need with OpenVINO. We have a demo where multiple models are loaded to the device. However, the results of the first model are then fed as the input of the second model for inference. You can see the Security Barrier Camera Demo.
We recommend to you combine the image data and re-train one network with all the objects.