in application some cameras run some of the doesnt run

[vseyok1]

Describe what you want to implement and what the issue & the steps to reproduce it are:

We are trying to use threading. However, in our application some of cameras can capture, and the other ones gives grabsuccedded false. When we are running in serial it works but it takes too much time. We are using 8 cameras.

def take_photo(self):

    self.updateIpList()
    self.org_image_list = {}
    if self.video_counter % 2 != 0:
        self.start_video()

    #temp_ip_list = ['192.168.1.1', '192.168.1.2']
    gain_list = []
    exp_list = []
    for le in self.lineEdit_list:
        gain_list.append(le[0].text())
        exp_list.append(le[1].text())
    with open("cam_ip.json", 'r') as cam_ip_file:
        cam_ips = json.load(cam_ip_file)
    self.number_list = []

    for i, ke in enumerate(cam_ips):
        if cam_ips[ke]:
            self.number_list.append(i)
    print("numberlist", self.number_list)

    tlFactory = pylon.TlFactory.GetInstance()

# Get all attached devices and exit application if no device is found.
    devices = tlFactory.EnumerateDevices()
    #print(devices)
    if len(devices) == 0:
        raise pylon.RuntimeException("No camera present.")

    # Create an array of instant cameras for the found devices and avoid exceeding a maximum number of devices.
    cameras = pylon.InstantCameraArray(min(len(devices), 8))
    #print(cameras)
    cams = []
    # Create and attach all Pylon Devices.
    #print("beforeip",ip_address)
    for i in range(len(self.ip_list)):
        for idx, cam in enumerate(cameras):
            cam.Attach(tlFactory.CreateDevice(devices[idx]))
            if cam.GetDeviceInfo().GetIpAddress() == self.ip_list[i]:
                cams.append(cam)
                break
        # setup named window per camera

    import queue
    image_queue = queue.Queue()

    def capture_image(i, camera):
        acq=False
        camera.Open()
        camera.ExposureTimeAbs = int(exp_list[i])
        camera.GainRaw.SetValue(int(gain_list[i]))
        #pylonda çeklilen fotonun opencv ye uymas için
        converter = pylon.ImageFormatConverter()
        converter.OutputPixelFormat = pylon.PixelType_BGR8packed
        converter.OutputBitAlignment = pylon.OutputBitAlignment_MsbAligned

        camera.StartGrabbing(1)#pylon.GrabStrategy_LatestImageOnly

        grab = camera.RetrieveResult(2000, pylon.TimeoutHandling_Return)

        if grab.GrabSucceeded():
            #fotoğraf çekme başarılı ise
            image = converter.Convert(grab)
            img = image.GetArray()
            img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
            flip = cv2.flip(img, 1)
            image1 = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
            trueImageFolder = 'C:/temp/'

            print(trueImageFolder + 'resim-' + str(i) + '.png')
            isWritten = cv2.imwrite(trueImageFolder+'resim-' + str(i) + '.png', image1)
            print("kaydedld" + str(isWritten))

            convert_qt = QImage(img.data, img.shape[1], img.shape[0], QImage.Format_RGB888)
            img = convert_qt.scaled(flip.shape[1], flip.shape[0], Qt.KeepAspectRatio)
            acq=True
            print(4)
            image_queue.put((i, convert_qt, acq))
        else:
            img = []
            print("the image is failed to acquire!")
        cams[i].Close()

        return convert_qt,acq

    threads = []

    for i, camera in enumerate(cameras):
        thread = threading.Thread(target=capture_image, args=(self.number_list[i], camera))
        threads.append(thread)

    for thread in threads:
        thread.start()

    for thread in threads:
        thread.join()

    while not image_queue.empty():
        i, img, acq = image_queue.get()
        print(acq)
        im = QtGui.QPixmap(img)
        print(6)
        self.label_list[i].setPixmap(im)
        print(7)
        self.org_image_list[i]=img

Is your camera operational in Basler pylon viewer on your platform

Yes

Hardware setup & camera model(s) used

basler ace gige cameras Intel(R) Core(TM) i7-10700F CPU @ 2.90GHz 2.90 GHz 8 gb ram

Runtime information:

python: 3.9.5 (tags/v3.9.5:0a7dcbd, May  3 2021, 17:27:52) [MSC v.1928 64 bit (AMD64)]
platform: win32/AMD64/10
pypylon: 1.7.2 / 6.1.1.18345

[SMA2016a]

Most properly, this is an issue related to bandwidth. Maybe your network devices are not able to manage the burst while both cameras are transfer the image at the same time.

1) Try to set the camera parameter interpacket delay. 2) set the packet size to 9000 if your NIC supports the bigger MTU size.

[vseyok1]

After I optimize the packet size with using bandwidth optimizer(around 2400), it works. Thank you!

[SMA2016a]

thanks for the update