Docker: GUI 应用,Ubuntu 上如何运行呢?
- 操作系统: Ubuntu 18.04
- 运行镜像: continuumio/anaconda3, based on debian
Step 1) 安装 Docker
# update the apt package index sudo apt-get update # install packages to allow apt to use a repository over HTTPS sudo apt-get install apt-transport-https ca-certificates curl gnupg2 software-properties-common # add Docker’s official GPG key curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - # set up the stable repository sudo add-apt-repository "deb [arch=amd64] https://mirrors.tuna.tsinghua.edu.cn/docker-ce/linux/ubuntu $(lsb_release -cs) stable" # update the apt package index sudo apt-get update # install the latest version of Docker Engine and containerd sudo apt-get install docker-ce docker-ce-cli containerd.io
允许当前非 root 用户管理 Docker:
sudo groupadd docker sudo usermod -aG docker $USER
参考:
- Install Docker Engine on Ubuntu:
https://docs.docker.com/engine/install/ubuntu/ - Docker CE 清华源:
https://mirrors.tuna.tsinghua.edu.cn/help/docker-ce/ - Post-installation steps for Linux:
https://docs.docker.com/engine/install/linux-postinstall/
Step 2) 准备镜像
拉取 OpenCV 镜像,用其显示 GUI:
docker pull joinaero/anaconda3-opencv3:1.0.0
Step 3) xhost 添加 local
$ xhost +local:docker non-network local connections being added to access control list
Step 4) OpenCV 预览图片
# 运行镜像,指明 DISPLAY docker run -it --rm --name myenv -e DISPLAY -e QT_X11_NO_MITSHM=1 -v /tmp/.X11-unix:/tmp/.X11-unix -v $HOME/.Xauthority:/root/.Xauthority joinaero/anaconda3-opencv3:1.0.0 # 激活 myenv 环境 conda activate myenv # 预览 GoCoding.png python - <<EOF import cv2 while True: im = cv2.imread("/tmp/GoCoding.png") im = cv2.resize(im, (256, 256)) cv2.imshow("GoCoding", im) key = cv2.waitKey(10) & 0xFF if key == 27 or key == ord(‘q‘): break EOF
Step 5) OpenCV 预览相机
# docker --device 指明 video 设备 docker run -it --rm --name myenv -e DISPLAY -e QT_X11_NO_MITSHM=1 -v /tmp/.X11-unix:/tmp/.X11-unix -v $HOME/.Xauthority:/root/.Xauthority --device /dev/video0 --device /dev/video1 joinaero/anaconda3-opencv3:1.0.0 # 激活 myenv 环境 conda activate myenv # 预览相机图像 python - <<EOF import sys import cv2 cap = cv2.VideoCapture(0) while True: ret, frame = cap.read() if not ret: sys.exit("Read the next frame failed") cv2.imshow("GoCoding", frame) key = cv2.waitKey(10) & 0xFF if key == 27 or key == ord(‘q‘): break cap.release() EOF
结语
Go coding!
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