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  • Oak-D-Lite not working with official docker container

wllui Dockerfile is available here, our image uses 20.04 (bullseye) as well so the instructions should work as well

    Thanks for the pointer.

    Confirming that I can build image from Dockerfile as-is (from python:3.9-bullseye) or from ubuntu:20.04

    However, if I were to use nvidia/cudagl:11.1.1-devel-ubuntu20.04 or nvidia/cudagl:11.4.2-devel-ubuntu20.04 as the base image and run it with

    sudo docker run --rm \
    --runtime=nvidia -ti \
    --privileged \
    -v /dev/bus/usb:/dev/bus/usb \
    --device-cgroup-rule='c 189:* rmw' \
    -e DISPLAY=$DISPLAY \
    -v /tmp/.X11-unix:/tmp/.X11-unix \
    depthai-python-cuda \
    python3 /depthai-python/examples/ColorCamera/rgb_preview.py

    I will get the following error

    Traceback (most recent call last):
  File "/depthai-python/examples/ColorCamera/rgb_preview.py", line 24, in <module>
    with dai.Device(pipeline) as device:
RuntimeError: Failed to find device after booting, error message: X_LINK_DEVICE_NOT_FOUND

    Wonder if you have any pointers why this is the case? Thanks in advance.

    One more data point. I tested with nvidia/cuda:11.6.0-devel-ubuntu20.04and it actually works when I run it with

    sudo docker run --rm \
    --runtime=nvidia -ti\
    --privileged \
    -v /dev/bus/usb:/dev/bus/usb \
    --device-cgroup-rule='c 189:* rmw' \
    -e DISPLAY=$DISPLAY \
    -v /tmp/.X11-unix:/tmp/.X11-unix \
    depthai-python-cuda \
    python3 /depthai-python/examples/ColorCamera/rgb_preview.py

    However, not quite getting why the additional support of OpenGL through libglvnd is causing issues with depthai SDK in nvidia/cudagl:11.4.2-devel-ubuntu20.04 or nvidia/cudagl:11.1.1-devel-ubuntu20.04.

      wllui thanks for testing! Maybe nvidia/cudagl has some custom libusb configuration? As it's the only requirement we have, not to use udev when accessing USB devices. And I'm glad it worked with the other image!

          sandeep0101 yes, although I'd recommend local install - there is a custom configuration needed for VM to correctly recognize the USB devices IIRC

              Luxonis-Lukasz Thanks - will do local - having screwed my local environment previously many time, I was hoping Docker will save the time for me 🙂
              PY-Virtual Environment, hopefully will save the day.

                  sandeep0101 I work on Mac and use built-in venv and it works great, I'm also on M1 so I have to remember about a few additional steps when working with it

                    Luxonis-Lukasz , you are right. It was due to the existing libusb installed in those images. With minor modifications, I am now able to use these base images without issues. Sharing the Docker file and command here

                    FROM nvidia/cudagl:11.1.1-devel-ubuntu20.04

ENV NVIDIA_DRIVER_CAPABILITIES ${NVIDIA_DRIVER_CAPABILITIES},display

ARG DEBIAN_FRONTEND=noninteractive
ENV TZ=America/Los_Angeles

RUN apt-get update && apt-get install -y wget build-essential cmake pkg-config libjpeg-dev libtiff5-dev libavcodec-dev libavformat-dev libswscale-dev libv4l-dev libxvidcore-dev libx264-dev libgtk2.0-dev libgtk-3-dev libatlas-base-dev gfortran git python3-pip usbutils

ADD ci/docker_dependencies.sh .
RUN ./docker_dependencies.sh
RUN apt-get remove -y libusb-1.0-0
RUN wget https://github.com/libusb/libusb/releases/download/v1.0.24/libusb-1.0.24.tar.bz2
RUN tar xf libusb-1.0.24.tar.bz2
RUN cd libusb-1.0.24 && \
    ./configure --disable-udev && \
    make -j && make install

RUN pip install -U pip && pip install --extra-index-url https://www.piwheels.org/simple/ --prefer-binary opencv-python

COPY . /depthai-python
RUN cd /depthai-python && python3 -m pip install .
                    sudo docker run --rm \
    --runtime=nvidia -ti\
    --privileged \
    -v /dev/bus/usb:/dev/bus/usb \
    --device-cgroup-rule='c 189:* rmw' \
    -e DISPLAY=$DISPLAY \
    -v /tmp/.X11-unix:/tmp/.X11-unix \
    depthai-python-cudagl \
    python3 /depthai-python/examples/ColorCamera/rgb_preview.py