Trying to extend a basic cpp object detection example from Hailo-Application-Code-Examples

[mikepwright]

@shashi Just a quick update… I have been able to successfully compile and run detections with my custom yolo11n weights. This article together with yours input helped me generate the working HEF. Thank you!

Guide to using the DFC to convert a modified YoloV11 on Google Colab

This guide will walk you through the end to end process of how to retrain and compile YoloV11 from a PyTorch file into a HEF file executable by the Hailo accelerators using Google Colab. I decided to use colab as it’s a managed environment and should be accesible to everyone, although this does introduce some complexities. This also works for other Yolo versions, keep in mind that YoloV8 through YoloV11 use “equivalent architectures” at least in the eyes of the DFC. Preparing our dataset: Yolo …

Now on to packaging it all up and managing it with Nomad!