Error: Communication exception - possible device error/misconfiguration.

Hi, I'm trying to load my custom computer vision TensorFlow model on OAK-D lite. However, I keep encountering the error "Communication exception - possible device error/misconfiguration. Original message 'Couldn't read data from stream: 'preview' (X LINK ERROR)'. I have already tried changing the USB cable from 2.0 to 3.1, but the error persists. Can you help me troubleshoot this issue?

`with depthai.Device(pipeline) as device:
pose_nn_output = None

prediction_nn_output = None

preview = device.getOutputQueue("preview", 1, True)

nn_output = device.getOutputQueue("nn", 1, True)

while True:

    in_preview = preview.get() # <-- This generates that error[URL=https://i.imgur.com/cKSw7Pv.png][IMG]https://i.imgur.com/cKSw7Pvh.png[/IMG][/URL]



    in_nn = nn_output.get()


    if pose_nn_output is None:
        pose_nn_output = device.getOutputQueue(pose_output_name, 1, False)

    pose_nn_output_tmp = pose_nn_output.tryGet()

    if pose_nn_output_tmp is not None:
        pose_nn_output = pose_nn_output_tmp


    if prediction_nn_output is None:
        prediction_nn_output = device.getOutputQueue(prediction_output_name, 1, False)

    prediction_nn_output_tmp = prediction_nn_output.tryGet()

    if prediction_nn_output_tmp is not None:
        prediction_nn_output = prediction_nn_output_tmp


    poses = None
    if pose_nn_output is not None:
        poses = np.array(pose_nn_output.getFirstLayerFp16())


    predictions = None
    if prediction_nn_output is not None:
        predictions = np.array(prediction_nn_output.getFirstLayerFp16())


    if poses is not None:
        for pose in poses:
            if pose[-1] >= pose_threshold:
                x, y, w, h = int(pose[1]), int(pose[2]), int(pose[3]), int(pose[4])
                cv2.rectangle(in_preview.getCvFrame(), (x, y), (x + w, y + h), (0, 255, 0), 2)


    if predictions is not None:
        max_index = np.argmax(predictions)
        if predictions[max_index] >= prediction_threshold:
            cv2.putText(in_preview.getCvFrame(), labels[max_index], (20, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)


    cv2.imshow("preview", in_preview.getCvFrame())


    if cv2.waitKey(1) == ord('q'):
        break

cv2.destroyAllWindows()

`