Starting eye tracker through iohub

Coding
4

Thank you so much for replying!

Is there a way to tell whether the error is a result of values supplied by the yaml file?

I couldn’t upload a yaml file, so I’ll just copy the content of the file here:

# specifies what devices to monitor 
monitor_devices:
    - Display:
        name: display
        reporting_unit_type: pix
        device_number: 1
        physical_dimensions:
            width: 403
            height: 304
            unit_type: mm
        default_eye_distance:
            surface_center: 650
            unit_type: mm
        psychopy_monitor_name: default

    - Experiment:
        name: vrms

    # SMI iView Config (cf. http://www.isolver-solutions.com/iohubdocs/iohub/api_and_manual/device_details/eyetracker_interface/SMI_Implementation_Notes.html)
    - eyetracker.hw.smi.iviewx.EyeTracker:
        name: tracker
        enable: True

        # *If* the ioHubDataStore is enabled for the experiment, then
        #   indicate if events for this device should be saved to the
        #   data_collection/keyboard event group in the hdf5 event file.
        save_events: False
        
        # streamEvents: Indicate if events from this device should be made available
        #   during experiment runtime to the PsychoPy Process.
        #   True = Send events for this device to  the PsychoPy Process in real-time.
        #   False = Do *not* send events for this device to the PsychoPy Process in real-time.        
        stream_events: False
        
        event_buffer_length: 1024
        monitor_event_types: [BinocularEyeSampleEvent,]
        network_settings:
            send_ip_address: 192.168.1.2
            # Port being used by iView X SDK for sending data to iView X
            send_port: 4444
            
            # IP address of local computer
            # For Win10: Systemsteuerung\Netzwerk und Internet\Netzwerk- und Freigabecenter
            # Set IPv4 of the ethernet connection to the ip specified here
            receive_ip_address: 192.168.1.1
            # port being used by iView X SDK for receiving data from iView X
            receive_port: 5555
        runtime_settings:
            sampling_rate: 250
            track_eyes: BINOCULAR_AVERAGED
            sample_filtering:
                FILTER_ALL: FILTER_OFF            
            vog_settings:
                pupil_measure_types: PUPIL_DIAMETER
        calibration:
            # type: How many points should be used for the calibration sequence.
            #    Valid inputs are THREE_POINTS, FIVE_POINTS, NINE_POINTS
            type: NINE_POINTS
            
            # pacing_speed: How long a calibration point should
            # be displayed before moving onto the next point when auto_pace 
            # is set to true. iViewX supports two values for this field: FAST and SLOW
            # If auto_pace is False, pacing_speed is ignored.
            auto_pace: Yes
            pacing_speed: FAST
            screen_background_color: 20
            target_type: CIRCLE_TARGET
            target_attributes:
                target_size: 30
                target_color: 239
                target_inner_color: RED
            show_validation_accuracy_window: True
            
        # model_name: The model_name setting allows the definition of the eye tracker model being used.    
        #   For the iViewX implementation, valid values are:
        #   RED, REDm, HiSpeed, MRI, HED, ETG, or Custom
        model_name: REDm 
        
data_store:
    enable: False
    experiment_info:
        code: ystart
    session_info:
        code: S0001