Hi @Gtech
This is definitely a complex topic with several potential challenges along the way. To help narrow things down, it would be good to know where exactly you are facing issues:
- Have you successfully compiled other models before and are now running into trouble with this one?
- Or is this your first time compiling a model to HEF?
If it’s your first time, I’d recommend checking out some helpful guides:
- Guide to using the DFC to convert a modified YoloV11 on Google Colab
- User Guide 2: Running Your First Object Detection Model on a Hailo Device Using DeGirum PySDK
Model-specific challenges are also common, particularly with post-processing the outputs from the HEF file to interpret bounding boxes, confidence scores, and other details. In some cases, this logic is handled by the Hailo device itself; in others, custom code is needed. For popular models, we do have user guides that simplify this process.
For more specific or less common models, the best we can do is to provide a pre-compiled model with the necessary assets (if we have experience with it). This typically results in working code, but if you want to get things working on your end, deeper debugging may be required on your end.
Hope this helps point you in the right direction!