Dockerfile 在11.2.1-cudnn8-runtime-ubuntu18.04-conda基础安装qt5并显示pyqt5应用_conda安装qt

编写一个简单的pyqt5界面App.py

import sys
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QPushButton, QVBoxLayout
class MyWindow(QWidget):
    def __init__(self):
        super().__init__()
        self.initUI()
    def initUI(self):
        # 创建标签
        label = QLabel('PyQt5界面', self)
        label.move(50, 50)
        # 创建按钮
        button = QPushButton('点击', self)
        button.move(50, 100)
        button.clicked.connect(self.buttonClicked)
        # 创建布局
        vbox = QVBoxLayout()
        vbox.addWidget(label)
        vbox.addWidget(button)
        # 将布局应用到窗口
        self.setLayout(vbox)
        # 设置窗口大小和标题
        self.setGeometry(300, 300, 300, 200)
        self.setWindowTitle('PyQt5界面')
        self.show()
    def buttonClicked(self):
        # 按钮点击事件
        print('按钮被点击')
if __name__ == '__main__':
    app = QApplication(sys.argv)
    window = MyWindow()
    sys.exit(app.exec_())
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再次基础上运行Dockerfile脚本

FROM yutianchi/11.2.1-cudnn8-runtime-ubuntu18.04-conda:1.0.0
USER root
RUN sed -i s@/archive.ubuntu.com/@/mirrors.aliyun.com/@g /etc/apt/sources.list
RUN apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 'A4B469963BF863CC'


RUN  apt-get update
ENV  TIME_ZONE Asia/Shanghai
ENV  DEBIAN_FRONTEND=noninteractive
ENV  LIBGL_ALWAYS_INDIRECT=1

RUN  apt-get install      ffmpeg  -y
RUN  apt-get install      libgl1-mesa-glx -y
RUN  apt-get install      libxss1 -y
RUN  apt-get install      libappindicator1 -y
RUN  apt-get install      libindicator7 -y
RUN  apt-get install      libjpeg8-dev -y
RUN  apt-get install      libpng-dev -y
RUN  apt-get install      libtiff5-dev -y
RUN  apt-get install      zlib1g-dev -y
RUN  apt-get install      libleptonica-dev -y
RUN  apt-get install      libtesseract-dev -y
RUN  apt-get install      tesseract-ocr -y
RUN  apt-get install      fonts-liberation -y
RUN  apt-get install      libappindicator3-1 -y
RUN  apt-get install      libasound2 -y
RUN  apt-get install      libnspr4 -y
RUN  apt-get install      libnss3 -y
RUN  apt-get install      xdg-utils -y
RUN  apt-get install      libcanberra-gtk-module -y
RUN  apt-get install      tcl-dev -y
RUN  apt-get install      tk-dev -y
RUN  apt-get install      python3-tk -y
RUN  apt-get install      dbus -y
RUN  apt-get install      locales -y
RUN  apt-get install      ttf-wqy-microhei -y
RUN  apt-get install      language-pack-zh-hans -y
RUN  apt-get install      python3-pyqt5 -y


ENV PATH /root/anaconda3/bin:$PATH
RUN conda update conda -y
RUN conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
RUN conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
RUN conda config --set show_channel_urls yes
RUN conda create -n ai-sport python=3.8 numpy pandas -y
SHELL ["conda", "run", "-n", "ai-sport", "/bin/bash", "-c"]
RUN pip install PyQt5 -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com
COPY .   . 

#sudo docker build -t='yutianchi/11.2.1-cudnn8-runtime-ubuntu18.04-conda-qt5:1.0.0' .
#xhost local:root
#sudo docker run --net=host --name ai-sport-app --gpus '"device=0"' --privileged --rm -it -v /dev:/dev -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -u root   yutianchi/11.2.1-cudnn8-runtime-ubuntu18.04-conda-qt5:1.0.0

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构建镜像

sudo docker build -t='yutianchi/11.2.1-cudnn8-runtime-ubuntu18.04-conda-qt5:1.0.0' .
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给权限

xhost local:root
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运行容器

sudo docker run --net=host --name ai-sport-app --gpus '"device=0"' --privileged --rm -it -v /dev:/dev -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -u root   yutianchi/11.2.1-cudnn8-runtime-ubuntu18.04-conda-qt5:1.0.0
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