onnx to hef - a path to hell

sham · April 5, 2026, 8:03am

I have tried all possible way to smoothly convert the .pt mode to hef
but the process is just not simple _
ultralytics still provides a better way to generate a model
can any expert here check my model
or is there any available mode for smoke and fire detection ?

Michael · April 5, 2026, 8:57am

Hi @sham,

Maybe this guide might help in someway:

github.com/hailo-ai/hailo-apps

doc/developer_guide/retraining_example.md

main

# YOLOv8 Retraining Example

This guide demonstrates how to retrain a YOLOv8 model for barcode detection using the Kaggle barcode-detector dataset. After training, we'll convert the model to HEF format and deploy it on the Raspberry Pi 5 AI Kit (or any x86 platform with a Hailo accelerator).

#### Required compute resources:
- **Training phase**: Any cloud service with GPU resources (including Python notebook-based services like Google Colab)
- **Hailo compilation phase**: Conversion to HEF format is compute-intensive but manageable on standard PCs (e.g., overnight task)

For complete reference implementations, see the Jupyter notebooks (please note some of the stages, including installations, might take time): 
- [`retraining.ipynb`](retraining.ipynb)
- [`compilation.ipynb`](compilation.ipynb)

## Training Setup

### Set up environment

First, create a Python virtual environment:

```bash
python -m venv env

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Thanks,