Correct, the Ultralytics Hub seems to be updated. None of the YOLOv5 models seem to be able to be converted using the DepthAI Tool now. The only model that seems to be able to be converted with the DepthAI Tool is "YOLOv8n". However, as you previously tried, it seemed like that pt was in the incorrect format and could not find the reader for model format xml and read the model. So currently, it seems that no YOLO models on Ultralytics Hub can make it all the way down to a deployable OAK-D model. Is there any way this can be corrected?
Is there any way to adjust the blob converter or OpenVINO converter en route to the MyriadX blob converter? I can see that these models work in PyTorch, but they cannot be converted to be deployed to the OAK-D currently.
Alternatively, is there to correct the converter or allow the VOLOv8 model to work on the OAK-D?
As another option, is there a way to allow any of the Ultralytics Hub models YOLOv5 (or v8) to convert with the DepthAI Tool?