Activating correct camera in the Light Sheet configuration

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Hey @MakerTobey, thanks for reaching out! Super cool, you’re building another light-sheet!
Did you follow the following tutorial:
ImSwitch Installation on Mac and Windows ?

If possible, I would need to have access to the full stacktrace (i.e. pervious outputs). Did you check if the camera works with the “normal” python scripts from Daheng?
Also, I would need the configuration file, just to see if there is maybe an error with the numbering of the camera.

Does the below code work?

# version:1.0.1905.9051
import gxipy as gx
from PIL import Image


def main():
    # print the demo information
    print("")
    print("-------------------------------------------------------------")
    print("Sample to show how to acquire mono image continuously and show acquired image.")
    print("-------------------------------------------------------------")
    print("")
    print("Initializing......")
    print("")

    # create a device manager
    device_manager = gx.DeviceManager()
    dev_num, dev_info_list = device_manager.update_device_list()
    if dev_num is 0:
        print("Number of enumerated devices is 0")
        return

    # open the first device
    cam = device_manager.open_device_by_index(1)

    # exit when the camera is a color camera
    if cam.PixelColorFilter.is_implemented() is True:
        print("This sample does not support color camera.")
        cam.close_device()
        return

    # set continuous acquisition
    cam.TriggerMode.set(gx.GxSwitchEntry.OFF)

    # set exposure
    cam.ExposureTime.set(10000)

    # set gain
    cam.Gain.set(10.0)

    # start data acquisition
    cam.stream_on()

    # acquire image: num is the image number
    num = 1
    for i in range(num):
        # get raw image
        raw_image = cam.data_stream[0].get_image()
        if raw_image is None:
            print("Getting image failed.")
            continue

        # create numpy array with data from raw image
        numpy_image = raw_image.get_numpy_array()
        if numpy_image is None:
            continue

        # show acquired image
        img = Image.fromarray(numpy_image, 'L')
        img.show()

        # print height, width, and frame ID of the acquisition image
        print("Frame ID: %d   Height: %d   Width: %d"
              % (raw_image.get_frame_id(), raw_image.get_height(), raw_image.get_width()))

    # stop data acquisition
    cam.stream_off()

    # close device
    cam.close_device()

if __name__ == "__main__":
    main()

The