Thanks for getting back, Erik. I will check those links out and let you know.

a month later

Hi,

I have implemented object tracking with OAK on Windows computer. But now I'm installing the setup on Raspberry Pi 4 using this tutorial by Luxonis on Youtube ( and the process takes too long and eventually crashes (I can detect the device connected and download the depthai repository but the examples don't run because of the missing packages, and they even crash when I do them manually one by one). Can you tell me what this problem could be related to, and how can I solve it?

Thanks.

  • erik replied to this.

    Hi zunnash ,
    What's the crash that you get on the RPI - or what takes too long? It might be it's trying to get wheels that aren't available for RPi, so it tries to build them (and fails). But it would be helpful to know the actual terminal output.
    Thanks, Erik

      Basically, the installation process (sudo curl -fL https://docs.luxonis.com/install_dependencies.sh | bash) got to 80 percent a few times and then crashed. The error did say something about the wheels, but I'll share the exact output when I try again tomorrow.

      In case it's the wheels, what's the way to resolve it?

      We will be able to best suggest based on the output itself🙂

      13 days later

      Hi, so I used the Luxonis RPi OS image which had the dependencies preinstalled, that resolved those errors. But now I'm getting this error (IndexError: map::at) (I'm using my custom models). Can you please tell me what does this mean? I saw on another forum question someone resolved it by downgrading the OpenVino version, but how do you exactly do that?

      (I've tried giving both absolute and relative paths)

        Hi zunnash
        As @Andrevancalster mentioned in other thread (source), convert your model to ONNX using something like the
        torch.onnx.export function. Blobconverter/openvino tool optimizer does not yet support pytorch framework. You should then you will be able to select the openvino version and possibly solve your problem.

        Thanks,
        Jaka

          13 days later

          I'm getting the same issue using OAK-D CM4 PoE,
          using the yolov8 nano trained on person detection using the yolov8 custom notebook
          detection_nn.setBlobPath(nnPath)
          IndexError: map::at

            jakaskerl
            Yes i have seen the other thread
            but the thing is the camera which i'm using has a pi integrated
            it doesn't allow u to install openvino using pip
            i was checking how to install openvino on the pi but the last working package in the official website was 2020 which is no longer available in the site
            if anyone could tell me how to check which version I'm using and how to change it to the desired version on the pi that would be a great help.

            • erik replied to this.

                krishnashravan Sorry could you provide full terminal output for this error? From my understanding, you uploaded blob to the CM4, and then with depthai specified the path, but it threw error?

                  File "/usr/lib/python3.9/threading.py", line 954, in bootstrap_inner
                      self.run()
                    File "/usr/lib/python3.9/threading.py", line 892, in run
                      self.                  target(*self.args, **self.kwargs)
                    File "/home/pi/demo/people/modules/VisionModule/main.py", line 209, in detect_and_count
                      pipeline = init_pipeline()
                    File "/home/pi/demo/people/modules/VisionModule/main.py", line 193, in init_pipeline
                      detection_nn.setBlobPath(nnPath)
                  IndexError: map::at
                  trying to run the yolov8 nano version on the camera
                  it worked in the oak-d camera but i'm getting that error when running on the CM4

                  • erik replied to this.

                    if customModel is True:

                            nnPath = str((parentDir / Path('../../data/' + model)).resolve().absolute())

                            print(nnPath)

                            detection_nn.setBlobPath(nnPath)

                            print("Custom Model" + nnPath + "Size: " + str(sizeX) + "x" + str(sizeY))
                    thats the code for getting the nnpath
                    the blob file path is correct

                    erik
                    this is on the pi
                    do u think its taking the wrong path
                    because in the oak d that same code is giving the correct path

                      krishnashravan This error went away with changing the depthai version. It occured with depthai 2.10 I think, but didn't appear while using depthai 2.11 and 2.12

                        I'd strongly suggest to use latest depthai version (2.22).