• Assistance Needed for Standalone Streaming Setup on Multiple OAK PoE Cameras

jakaskerl
Hi @jakaskerl

  1. I am looking for way to view the camera(stream using mjpeg) on localhost before I flash the setting(Res,Focus,etc) into the device. The way I am flashing specific device using IP address. I want to view specific IP address instead of available device.
    this not really working getting the error I shared with you earlier in this discussion.
    # Specify MXID, IP Address or USB path

    device_info = depthai.DeviceInfo("14442C108144F1D000") # MXID

    #device_info = depthai.DeviceInfo("192.168.1.44") # IP Address

    #device_info = depthai.DeviceInfo("3.3.3") # USB port name

    with depthai.Device(pipeline, device_info) as device:

    # ...

  2. Apologies, I meant streaming is flickering .My observation says it happens when I use camera as standalone device not when I use my system as host.

    nikul

    nikul The way I am flashing specific device using IP address. I want to view specific IP address instead of available device.

    Coudly elaborate more, I'm still quite unsure of what you goal is. IP address is accessed through name property of the deviceInfo object.

    nikul Apologies, I meant streaming is flickering .My observation says it happens when I use camera as standalone device not when I use my system as host.

    Can you send a screenshot/video of this happening?

    Thanks,
    Jaka

      jakaskerl Thank you for getting back.

      1. here is the recorded video of camera behavior on stand alone mode.
      video.mp4
      8MB
      1. Here is the script which basically sets MJPEG server with both views (normal and stereo). I am not sure weather or not it will work, but currently it is taking random device from the network since have both OAK-1 and OAK-D-Pro it select OAK 1 from the network and trying to run the given script causing error like this one.

        Note: Even though if I disconnect all the device and just keep OAK-D-Pro PoE it still say failed to find the device even though its connected when i check the status.

        Script : GitHub (GPT generated)

        You did mention something like this. Apologies if still repeating the same mistake unconsciously

      A single device cannot be used by both the deviceBootloader and the dai.Device(). After exiting the context of these two functions, the device will reboot which will cause the error you are experiencing.

      1. This simple example of depth preview is not working for me.
        https://github.com/luxonis/depthai-python/blob/main/examples/StereoDepth/depth_preview.py

      Getting this error even after getting sure that its connected.

      HI @nikul
      I tested you script and it works great on Oak-D-Pro Poe. It does not flicker at all. Are you experiencing the flickering in host mode or just in standalone? Does it help removing the color_cam.initialControl.setManualFocus(100) # 0..255?

      "0.0.0.0" IP won't work, you have to specify the IP of the device directly. Camera not detected error stems from the fact that OAK-1 poe only has 1 camera (on socket 0). Stereo needs cameras on socket 1 and 2.

      Thanks,
      Jaka

        jakaskerl
        I tested you script and it works great on Oak-D-Pro Poe. It does not flicker at all. Are you experiencing the flickering in host mode or just in standalone? Does it help removing the color_cam.initialControl.setManualFocus(100) # 0..255?

        It flickers only on Standalone. I have applied the same code to the all my four OAK PoE cameras however effect of this code color_cam.initialControl.setManualFocus(100) # 0..255is only appearing on OAK-D-Pro. and none other.

        "0.0.0.0" IP won't work, you have to specify the IP of the device directly. Camera not detected error stems from the fact that OAK-1 poe only has 1 camera (on socket 0). Stereo needs cameras on socket 1 and 2.

        0.0.0.0 is just for security purpose I am using device IP while running in into my system. I aware of the fact that I need OAK-D or OAK-D-Pro to stream depth view. i do have both of them connected to my network.

        Hi @nikul
        Which Oak-D-pro Poe is this? This is what /examples/ColorCamera/rgb_preview.py prints out for a camera I tested and which had no issues with flickering:

        Connected cameras: [{socket: CAM_A, sensorName: IMX378, width: 4056, height: 3040, orientation: AUTO, supportedTypes: [COLOR], hasAutofocus: 1, hasAutofocusIC: 1, name: color}, {socket: CAM_B, sensorName: OV9282, width: 1280, height: 800, orientation: AUTO, supportedTypes: [MONO], hasAutofocus: 0, hasAutofocusIC: 0, name: left}, {socket: CAM_C, sensorName: OV9282, width: 1280, height: 800, orientation: AUTO, supportedTypes: [MONO], hasAutofocus: 0, hasAutofocusIC: 0, name: right}]
        Usb speed: UNKNOWN
        Bootloader version: 0.0.26
        Device name: OAK-D-PRO-POE  Product name: OAK-D-PRO-POE-AF

        I flashed the application you have sent to the device and experienced no issues.

        Thanks,
        Jaka

        @jakaskerl
        Hi, Thank you for getting back.
        Can I set the focus manually. To the OAK 1.
        Here is description of my device.
        [{socket: CAM_A, sensorName: IMX378, width: 4056, height: 3040, orientation: AUTO, supportedTypes: [COLOR], hasAutofocus: 0, hasAutofocusIC: 1, name: color}]

        Thank you @jakaskerl
        1. I am unable to setManualFocus with this.
        # Start defining a pipeline

        pipeline = dai.Pipeline()

        # Define a source - color camera

        cam = pipeline.create(dai.node.ColorCamera)

        cam.setResolution(dai.ColorCameraProperties.SensorResolution.THE_1080_P)

        cam.initialControl.setManualFocus(2)

        [{socket: CAM_A, sensorName: IMX378, width: 4056, height: 3040, orientation: AUTO, supportedTypes: [COLOR], hasAutofocus: 0, hasAutofocusIC: 1, name: color}, {socket: CAM_B, sensorName: OV9282, width: 1280, height: 800, orientation: AUTO, supportedTypes: [MONO], hasAutofocus: 0, hasAutofocusIC: 0, name: left}, {socket: CAM_C, sensorName: OV9282, width: 1280, height: 800, orientation: AUTO, supportedTypes: [MONO], hasAutofocus: 0, hasAutofocusIC: 0, name: right}]

        This camera does comes with Auto Focus features.
        https://docs.luxonis.com/projects/hardware/en/latest/pages/NG9097pro/

        1. I am getting error while installing depthAI viewer.
        Requirement already satisfied: pip in c:\users\nikunayi\appdata\local\packages\pythonsoftwarefoundation.python.3.11_qbz5n2kfra8p0\localcache\local-packages\python311\site-packages\depthai_viewer\venv-0.1.6\lib\site-packages (23.2.1)
        
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        Creating virtual environment...
        
        Error occurred during dependency installation: Command '['C:\\Users\\nikunayi\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\depthai_viewer\\venv-0.1.6\\Scripts\\python', '-m', 'pip', 'install', 'depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475', '--extra-index-url', 'https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/']' returned non-zero exit status 1.
        
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        File "C:\Users\nikunayi\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\depthai_viewer\install_requirements.py", line 85, in create_venv_and_install_dependencies
        
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        File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.11_3.11.2032.0_x64__qbz5n2kfra8p0\Lib\subprocess.py", line 571, in run
        
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        Installing collected packages: types-PySide2, xmltodict, urllib3, six, Qt.py, PyYAML, pytube, packaging, numpy, jmespath, idna, depthai, charset-normalizer, certifi, sentry-sdk, requests, PyTurboJPEG, python-dateutil, opencv-contrib-python, marshmallow, depthai-pipeline-graph, ahrs, botocore, s3transfer, boto3, blobconverter, depthai-sdk
        
        Creating virtual environment...
        
        Error occurred during dependency installation: Command '['C:\\Users\\nikunayi\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\depthai_viewer\\venv-0.1.6\\Scripts\\python', '-m', 'pip', 'install', 'depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475', '--extra-index-url', 'https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/']' returned non-zero exit status 1.
        
        Traceback (most recent call last):
        
        File "C:\Users\nikunayi\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\depthai_viewer\install_requirements.py", line 85, in create_venv_and_install_dependencies
        
        subprocess.run(
        
        File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.11_3.11.2032.0_x64__qbz5n2kfra8p0\Lib\subprocess.py", line 571, in run
        
        raise CalledProcessError(retcode, process.args,
        
        subprocess.CalledProcessError: Command '['C:\\Users\\nikunayi\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python311\\site-packages\\depthai_viewer\\venv-0.1.6\\Scripts\\python', '-m', 'pip', 'install', 'depthai-sdk==1.13.1.dev0+b0340e0c4ad869711d7d5fff48e41c46fe41f475', '--extra-index-url', 'https://artifacts.luxonis.com/artifactory/luxonis-python-snapshot-local/']' returned non-zero exit status 1.
        
        Deleting partially created virtual environment: C:\Users\nikunayi\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\depthai_viewer\venv-0.1.6
        
        
        Thank you.

        jakaskerl

        Hi @Jackmarks Thank you for getting back.

        Couple weeks back when I tried, I was able to set focus. I did not try all the parameters but set focus to 0 and it was all blur.

        Thank you

        Hi @nikul
        Are you sure it was the same camera?
        Try with https://docs.luxonis.com/projects/api/en/latest/samples/ColorCamera/rgb_camera_control/.

        Control:      key[dec/inc]  min..max
          exposure time:     I   O      1..33000 [us]
          sensitivity iso:   K   L    100..1600
          focus:             ,   .      0..255 [far..near]
          white balance:     N   M   1000..12000 (light color temperature K)

        Thanks,
        Jaka

        Turns out the setResolution() also something which not really working for me. whatever perameter I set in my video surveillance system it is showing 1080.

        Also I want to crop the streaming and want to get only center of the video, can you show my how can I apply this considering the code I have provided above.

        Thank you.

          nikul Turns out the setResolution() also something which not really working for me. whatever perameter I set in my video surveillance system it is showing 1080.

          Please add a MRE of this issue so we can pinpoint the culprit.

          nikul Also I want to crop the streaming and want to get only center of the video, can you show my how can I apply this considering the code I have provided above.

          • Create a ImgManip node
          • Link camRgb as input, and pipe the output to whatever you need (streaming/NN/etc)
          • use Imagemanip's manip.initialConfig.setCropRect() or manip.initialConfig.setCenterCrop()
            Keep in mind, values for the second one are normalized (0-1)

          Thanks,
          Jaka

            jakaskerl Thank You.

            import depthai as dai
            import time
            
            # Start defining a pipeline
            pipeline = dai.Pipeline()
            # Define a source - color camera
            cam = pipeline.create(dai.node.ColorCamera)
            cam.setFps(60)
            cam.setResolution(dai.ColorCameraProperties.SensorResolution.THE_720_P)
            cam.initialControl.setManualFocus(185) # 0..255
            
            manip = pipeline.create(dai.node.ImageManip)
            manip.initialConfig.setCropRect(0.3917, 0.3574, 0.6083, 0.7426)
            
            # VideoEncoder
            jpeg = pipeline.create(dai.node.VideoEncoder)
            jpeg.setDefaultProfilePreset(cam.getFps(), dai.VideoEncoderProperties.Profile.MJPEG)
            
            
            # Script node
            script = pipeline.create(dai.node.Script)
            
            script.setProcessor(dai.ProcessorType.LEON_CSS)
            script.setScript("""
                import time
                import socket
                import fcntl
                import struct
                from socketserver import ThreadingMixIn
                from http.server import BaseHTTPRequestHandler, HTTPServer
            
                PORT = 8080
            
                def get_ip_address(ifname):
                    s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
                    return socket.inet_ntoa(fcntl.ioctl(
                        s.fileno(),
                        -1071617759,  # SIOCGIFADDR
                        struct.pack('256s', ifname[:15].encode())
                    )[20:24])
            
                class ThreadingSimpleServer(ThreadingMixIn, HTTPServer):
                    pass
            
                class HTTPHandler(BaseHTTPRequestHandler):
                    def do_GET(self):
                        if self.path == '/':
                            self.send_response(200)
                            self.end_headers()
                            self.wfile.write(b'<h1>[DepthAI] Hello, world!</h1><p>Click <a href="img">here</a> for an image</p>')
                        elif self.path == '/img':
                            try:
                                self.send_response(200)
                                self.send_header('Content-type', 'multipart/x-mixed-replace; boundary=--jpgboundary')
                                self.end_headers()
                                fpsCounter = 0
                                timeCounter = time.time()
                                while True:
                                    jpegImage = node.io['jpeg'].get()
                                    self.wfile.write("--jpgboundary".encode())
                                    self.wfile.write(bytes([13, 10]))
                                    self.send_header('Content-type', 'image/jpeg')
                                    self.send_header('Content-length', str(len(jpegImage.getData())))
                                    self.end_headers()
                                    self.wfile.write(jpegImage.getData())
                                    self.end_headers()
            
                                    fpsCounter = fpsCounter + 1
                                    if time.time() - timeCounter > 1:
                                        node.warn(f'FPS: {fpsCounter}')
                                        fpsCounter = 0
                                        timeCounter = time.time()
                            except Exception as ex:
                                node.warn(str(ex))
            
                with ThreadingSimpleServer(("", PORT), HTTPHandler) as httpd:
                    node.warn(f"Serving at {get_ip_address('re0')}:{PORT}")
                    httpd.serve_forever()
            """)
            
            # Connections
            # Linking
            cam.video.link(manip.inputImage)  # Link camera to ImageManip
            manip.out.link(jpeg.input)  # Link ImageManip to VideoEncoder
            jpeg.bitstream.link(script.inputs['jpeg'])

            I was able to crop the frame but resolution issue is still the same.

            Hi @nikul
            I think 720P is not supported on IMX378, that's why it's defaulting to 1080p. Other (higher) resolution should work as intended.
            And you should be getting a warning for unsupported resolution in the depthai during bootup.

            Thanks,
            Jaka

              jakaskerl Thank you.
              Is there anyway we can reduce the bitrate in MJPEG streaming.