<s>[INST] So, for the last few days, I've been working on this Raspberry Pi project where I'm using a camera to take a photo of an object, and then use machine learning to classify the object. It's going really well so far.

I've been using the PiCamera library to capture the photos, and I've been using the TensorFlow Lite library to run the machine learning model.

I've got a classification model that can identify objects with about 90% accuracy, and I've also got a object detection model that can detect objects in the image with about 80% accuracy. 

Now I'm wondering how to integrate the two models, so that the object detection model can detect the objects, and then the classification model can classify the detected objects. 

I'm having a bit of trouble figuring out how to do this. Can you help me with this?[/INST]