odysseus-dev/odysseus · error · HTTPException

Failed to load object mask model {model_id}: {exc}

Error message

Failed to load object mask model {model_id}: {exc}

What it means

Error "Failed to load object mask model {model_id}: {exc}" thrown in odysseus-dev/odysseus.

Source

Thrown at routes/gallery/gallery_routes.py:123

            "Object mask tools are not installed. Install Cookbook Dependencies -> SAM mask tools.",
        ) from exc

    device = "cpu"
    try:
        if torch.cuda.is_available():
            device = "cuda"
        elif getattr(torch.backends, "mps", None) and torch.backends.mps.is_available():
            device = "mps"
    except Exception:
        device = "cpu"

    try:
        processor = OwlViTProcessor.from_pretrained(model_id)
        model = OwlViTForObjectDetection.from_pretrained(model_id)
        model.to(device)
        model.eval()
    except Exception as exc:
        raise HTTPException(500, f"Failed to load object mask model {model_id}: {exc}") from exc

    cached = {"torch": torch, "processor": processor, "model": model, "device": device, "model_id": model_id}
    _GROUNDING_STATE[model_id] = cached
    return cached


def _model_input_to_device(value, device: str, torch):
    if not hasattr(value, "to"):
        return value
    if (
        device == "mps"
        and hasattr(torch, "float64")
        and getattr(value, "dtype", None) == torch.float64
    ):
        return value.to(device=device, dtype=torch.float32)
    return value.to(device)

View on GitHub (pinned to f9235ebbf1)

Solutions

1. Check that the object mask model weights downloaded correctly and retry.
2. Review server logs for the load error; reinstall the mask tools if needed.

When it happens

Trigger: Triggered when the corresponding server-side validation or runtime check at the recorded location rejects the request or operation and returns this error message to the caller.

Common situations: See trigger scenarios.

AI-assisted analysis of odysseus-dev/odysseus@f9235ebbf1 (2026-08-14). Data as JSON: /api/errors/79fff035f709c5ac. Report an issue: GitHub.