Try OpenCV.jl

run.sh

DOCKER_IMAGE=terasakisatoshi/opencvjl

xhost +local:docker
docker run --rm -it \
-e DISPLAY=$DISPLAY \
-v /tmp/.X11-unix/:/tmp/.X11-unix \
-v $(pwd):/work \
--device=/dev/video0:/dev/video0 \
-w /work \
${DOCKER_IMAGE} \
bash -c "julia script.jl"
xhost -local:docker

script.jl

using OpenCV

device_id = Cint(0)
windowname = "cvwindow"
cap = OpenCV.VideoCapture(device_id)

OpenCV.namedWindow(windowname, OpenCV.WINDOW_AUTOSIZE)

@info "Press q to exit"

while true
    ret, img = OpenCV.read(cap)
    if ret
        OpenCV.imshow(windowname, img)
        if OpenCV.waitKey(Cint(1)) & 0xFF == Int32('q')
            OpenCV.release(cap)
            OpenCV.destroyWindow(windowname)
            break
        end
    end
end

• OpenCV.jl is a Julia OpenCV bindings. See Introduction to Julia OpenCV Binding to learn more.

Usage

• Prepare your Linux(x86_64) machine.
• Download script.jl and run.sh at your workspace.
• Pull Docker image via docker pull terasakisatoshi/opencvjl.
  • You can build a Docker image by yourself. See mygist

Run

• Just run bash run.sh