Using roboflowoak, the depth is always 0 - zero

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Hi

Thanks for the reply.

You said 'you have to add 16UC1 in the cv2 but seems that not the issue.
Please look here : “Deploy a Custom Model to OAK-D lite using roboflowoak”

The commands are :

rf = RoboflowOak(model="YOUR-MODEL-ID", confidence=0.05, overlap=0.5,
    version="YOUR-MODEL-VERSION-#", api_key="YOUR-PRIVATE_API_KEY", rgb=True,
    depth=True, device=None, blocking=True)
...
result, frame, raw_frame, depth = rf.detect()
predictions = result["predictions"]

It’s before cv2 the issue occurs : predictions contains a depth value equal to zero.
I’m not talking about ‘depth’ frame (that’s contains the frame from the camera), but predictions[‘depth’]. Please look the first message.

Please need really help.