通过dockerfile构建tensorflow+opencv+jupyter的镜像(ubuntu+python3+ffmpeg+python-dev)

本dockerfile是在通过dockerfile构建tensorflow+opencv的镜像(ubuntu+python3+ffmpeg)基础上增加是jupyter的相关安装。

 

步骤1：编写Dockerfile

步骤2：安装镜像

步骤3：验证安装

 

步骤1：编写Dockerfile

 1、在目录/dockerfiles/tensorflow-opencv-jupyter下创建一个Dockerfile

mkdir /dockerfiles
mkdir /dockerfiles/tensorflow-opencv-jupyter
vi /dockerfiles/tensorflow-opencv-jupyter/Dockerfile

 

2、Dockerfile的内容如下：

FROM ubuntu:16.04

RUN  apt-get update
RUN  apt-get upgrade -y

# Install python3
RUN  apt-get install -y python3 

# Install pip
RUN apt-get install -y wget vim
RUN wget -O /tmp/get-pip.py https://bootstrap.pypa.io/get-pip.py
RUN python3 /tmp/get-pip.py
RUN pip install --upgrade pip

# Install tensorflow
RUN pip install -U tensorflow

# Install ffmpeg
RUN  apt-get install -y ffmpeg

# Install moviepy
RUN  pip install -U moviepy

# Install cmake
RUN apt-get update
RUN apt-get install -y build-essential
RUN apt-get install -y cmake

# Install OpenCV
RUN apt-get install -y unzip
RUN wget -P /usr/local/src/ https://github.com/opencv/opencv/archive/3.4.1.zip
RUN cd /usr/local/src/ && unzip 3.4.1.zip && rm 3.4.1.zip
RUN cd /usr/local/src/opencv-3.4.1/ && mkdir build
RUN cd /usr/local/src/opencv-3.4.1/build && cmake -D CMAKE_INSTALL_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local/ .. && make -j4 && make install


# Install opencv-python
RUN pip install opencv-python
RUN apt-get install -y libsm6
RUN apt-get install -y libxrender1
RUN apt-get install -y libxext-dev


# Install python-dev
RUN apt-get update
RUN apt-get install -y python-dev

# Install jupyter notebook
RUN pip install  jupyter
RUN pip install  notebook

 

步骤2：安装镜像

docker build -t lld2002/python3-tensorflow-opencv-jupyter /dockerfiles/tensorflow-opencv-jupyter

步骤3：验证安装

1、创建一个jupyter_notebook_config.py文件放置到/notebooks目录下，内容如下

## Whether to allow the user to run the notebook as root.
c.NotebookApp.allow_root = True

## The IP address the notebook server will listen on.
c.NotebookApp.ip = '*'

## The directory to use for notebooks and kernels.
c.NotebookApp.notebook_dir = '/root/notebooks'

#  The string should be of the form type:salt:hashed-password.
c.NotebookApp.password ='sha1:a40ddd427052:620cd5d12a9a8d47a2bdaf45139e22f90be2e2d3'  #密码为 'tensorflow'

#  any user can connect to the notebook server via ssh.
c.NotebookApp.password_required = True

## The port the notebook server will listen on.
c.NotebookApp.port = 8888

2、通过镜像生成容器，并运行

mkdir /notebooks

docker run -p 8888:8888  -v /notebooks:/root/notebooks -it lld2002/python3-tensorflow-opencv-jupyter:latest jupyter notebook --config /root/notebooks/jupyter_notebook_config.py

 

3、打开浏览器http://127.0.0.1:8888/tree

密码输入： tensorflow

 

则测试成功