Okay, here’s a revised version of your forum post incorporating the additional details you provided:
Title: ONNX to HEF Conversion Model Script - YOLOv11n on Raspberry Pi 5 with AI HAT+
Body:
I’m working on deploying a YOLOv11n object detection model on a Raspberry Pi 5 with the Raspberry Pi AI HAT+ (13 TOPS). I trained the YOLOv11n model using Python code and have successfully converted it to ONNX format. I’ve also generated a HAR (Hardware Architecture Representation) file using the AI Suite.
My next step is to compile the ONNX model to HEF (presumably for use with the AI HAT+). I understand I need to create a “model script” for this compilation process, but I’m unsure how to do this.
I’m currently working within the AI Suite Docker container on Docker Desktop. I am not familiar with google colab.
Could anyone provide a template or example of such a model script, specifically one that targets the Raspberry Pi AI HAT+?