Convert Yolo Pytorch model to HEF for Raspberry Pi 5 with Hailo8L

[Omer]

Hi @alkemist,
This numbers are just the name of the layer in the ONNX from the Hailo Model zoo. You can take it from there and compare to you model.

You can look at this article to better understand the yolov8 parsing:

Parsing YOLO models with the Hailo Dataflow Compiler tool

YOLO is a known and frequently used object detection model created by Ultralytics. It has many architecture versions - v3,v4,v5,v6,x,v7,v8,v9,10 and many sub-versions. The yolo models are built with a backbone and a detection head, when it can be divided into two groups - anchor based models, such as yolov5 and yolov7, and anchor free models, such as yolov6, yolox, yolov8 etc. In this post I’ll take to representative models to explain how to parse the YOLO models using Hailo’s Parser tool - yo…

Regards,