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Qt/QML Container Image

  • Qt/QML: 5.12.0
    • Support PyQt5

Build the image (Optional)

# $ docker build --rm -t kakalin/qt:5.12.0 .
$ ./build.sh

Push to Docker Hub

$ docker login
# $ docker push kakalin/qt:5.12.0
$ ./deploy.sh

Run

1. Run it on Ubuntu

# Expose the X server on the host
$ xhost +local:docker

Note:

Notice current path, if you use `$PWD`,
you should in the root path of the  project,

  • GPU

    $ docker run --rm -it \
    --gpus all \
    -e DISPLAY=$DISPLAY \
    -e QT_X11_NO_MITSHM=1 \
    --volume="/tmp/.X11-unix:/tmp/.X11-unix" \
    --volume="$PWD:/home/user/qt-template" \
    --privileged \
    kakalin/qt:5.12.0

  • CPU

    $ docker run --rm -it \
    -e DISPLAY=$DISPLAY \
    -e QT_X11_NO_MITSHM=1 \
    --volume="/tmp/.X11-unix:/tmp/.X11-unix" \
    --volume="$PWD:/home/user/qt-template" \
    --privileged \
    kakalin/qt:5.12.0

2. Run it on macOS

Reference: X11 in docker on macOS

  1. Install XQuartz from official website or through Homebrew

    $ brew install --cask xquartz

    and then Restart OS.

  2. Open XQuartz and Check the option: XQuartz -> Preferences -> Security -> "Allow connections from network clients"

    # open XQuartz
$ open -a XQuartz

  3. In terminal:

    # Expose the X server on the host
$ xhost +localhost

    Creating a bridge between a network socket with a TCP listener on port 6000 (the default port of the X window system) and the X window server on my OS X host.

    $ socat TCP-LISTEN:6000,reuseaddr,fork UNIX-CLIENT:\"$DISPLAY\"

    $ docker run --rm -it \
    -e DISPLAY=host.docker.internal:0 \
    -e QT_X11_NO_MITSHM=1 \
    -e QT_QUICK_BACKEND=software \
    --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" \
    --volume="$PWD:/home/user/qt-template" \
    kakalin/qt:5.12.0

Troubleshooting

  1. libGL error: No matching fbConfigs or visuals found

    $ export LIBGL_ALWAYS_INDIRECT=1

  2. QGLXContext: Failed to create dummy context

    Workaround:

    $ export QT_QUICK_BACKEND=software

  3. Miniconda install issue:

    • Install Python3.8, ModuleNotFoundError: No module named 'conda.cli.main_info'

      comment `conda update -n base conda`

    2022/12/6 update: If the old command has error, we can replace it as below:

    # Install miniconda for python 3.8
ENV PYTHON_VERSION="3.8"
ENV CONDA_PATH="/usr/local/anaconda3"
ENV MINICONDA_FILE="Miniconda3-py38_4.12.0-Linux-x86_64.sh"
RUN wget https://repo.continuum.io/miniconda/${MINICONDA_FILE} && \
    sh ${MINICONDA_FILE} -b -p ${CONDA_PATH} && \
    ${CONDA_PATH}/bin/conda update -n base conda && \
    ${CONDA_PATH}/bin/conda install python=${PYTHON_VERSION} && \
    ${CONDA_PATH}/bin/conda clean -y -a && \
    rm -rf ${MINICONDA_FILE} && \
    rm -rf /temp/*