Hi @yarden_pardo
We have a compiler that starts with the pytorch checkpoint and goes through the steps of converting it into onnx and then to hef file. When you train a model in ultralytics, the final result is a pytorch checkpoint (the .pt file) which is then translated to onnx. After you have the hef file, you need some code to run input images or videos on this hef file. This is where our PySDK comes into picture. Simplifying Edge AI Development with DeGirum PySDK and Hailo, User Guide 3: Simplifying Object Detection on a Hailo Device Using DeGirum PySDK. This is how we can help you: you provide us the .pt file and some images from training (which we use for calibration). We compile and give you a hef file along with a model json and labels file (see our user guide above) that you can then run on Hailo8. Hope this helps.