在Docker容器中安装OpenCV

时间:2016-04-26 10:43:09

标签: python opencv docker

我正在尝试Dockerise一个依赖于OpenCV的Python应用程序。我尝试了几种不同的方法,但是当我尝试运行应用程序时,我一直得到...... ImportError: No module named cv2

这是我当前的Dockerfile。

FROM python:2.7

MAINTAINER Ewan Valentine <ewan@theladbible.com>

RUN mkdir -p /usr/src/app 
WORKDIR /usr/src/app 

# Various Python and C/build deps
RUN apt-get update && apt-get install -y \ 
    wget \
    build-essential \ 
    cmake \ 
    git \
    pkg-config \
    python-dev \ 
    python-opencv \ 
    libopencv-dev \ 
    libav-tools  \ 
    libjpeg-dev \ 
    libpng-dev \ 
    libtiff-dev \ 
    libjasper-dev \ 
    libgtk2.0-dev \ 
    python-numpy \ 
    python-pycurl \ 
    libatlas-base-dev \
    gfortran \
    webp \ 
    python-opencv 

# Install Open CV - Warning, this takes absolutely forever
RUN cd ~ && git clone https://github.com/Itseez/opencv.git && \ 
    cd opencv && \
    git checkout 3.0.0 && \
    cd ~ && git clone https://github.com/Itseez/opencv_contrib.git && \
    cd opencv_contrib && \
    git checkout 3.0.0 && \
    cd ~/opencv && mkdir -p build && cd build && \
    cmake -D CMAKE_BUILD_TYPE=RELEASE \
    -D CMAKE_INSTALL_PREFIX=/usr/local \ 
    -D INSTALL_C_EXAMPLES=ON \ 
    -D INSTALL_PYTHON_EXAMPLES=ON \ 
    -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules \ 
    -D BUILD_EXAMPLES=OFF .. && \
    make -j4 && \
    make install && \ 
    ldconfig

COPY requirements.txt /usr/src/app/
RUN pip install --no-cache-dir -r requirements.txt

COPY . /usr/src/app 

我的requirements.txt文件

Flask==0.8
gunicorn==0.14.2
requests==0.11.1
bs4==0.0.1
nltk==3.2.1
pymysql==0.7.2
xlsxwriter==0.8.5
numpy==1.11
Pillow==3.2.0
cv2==1.0
pytesseract==0.1

6 个答案:

答案 0 :(得分:15)

修正了稍微不同的设置

FROM python:2.7

MAINTAINER Ewan Valentine <ewan@theladbible.com>

RUN mkdir -p /usr/src/app 
WORKDIR /usr/src/app 

# Various Python and C/build deps
RUN apt-get update && apt-get install -y \ 
    wget \
    build-essential \ 
    cmake \ 
    git \
    unzip \ 
    pkg-config \
    python-dev \ 
    python-opencv \ 
    libopencv-dev \ 
    libav-tools  \ 
    libjpeg-dev \ 
    libpng-dev \ 
    libtiff-dev \ 
    libjasper-dev \ 
    libgtk2.0-dev \ 
    python-numpy \ 
    python-pycurl \ 
    libatlas-base-dev \
    gfortran \
    webp \ 
    python-opencv \ 
    qt5-default \
    libvtk6-dev \ 
    zlib1g-dev 

# Install Open CV - Warning, this takes absolutely forever
RUN mkdir -p ~/opencv cd ~/opencv && \
    wget https://github.com/Itseez/opencv/archive/3.0.0.zip && \
    unzip 3.0.0.zip && \
    rm 3.0.0.zip && \
    mv opencv-3.0.0 OpenCV && \
    cd OpenCV && \
    mkdir build && \ 
    cd build && \
    cmake \
    -DWITH_QT=ON \ 
    -DWITH_OPENGL=ON \ 
    -DFORCE_VTK=ON \
    -DWITH_TBB=ON \
    -DWITH_GDAL=ON \
    -DWITH_XINE=ON \
    -DBUILD_EXAMPLES=ON .. && \
    make -j4 && \
    make install && \ 
    ldconfig

COPY requirements.txt /usr/src/app/
RUN pip install --no-cache-dir -r requirements.txt

COPY . /usr/src/app 

答案 1 :(得分:5)

感谢您发布此内容。我遇到了同样的问题并尝试了你的解决方案,虽然它似乎安装了OpenCV但它给我留下了一个冲突版本的Python六库的问题所以我采取了不同的路线。我认为更简单的方法是在容器中安装Anaconda,然后添加OpenCV。我正在使用Python 2,所以我的整个Dockerfile安装OpenCvv只是:

FROM continuumio/anaconda
EXPOSE 5000

ADD . /code-directory
WORKDIR code-directory
RUN conda install opencv

CMD ["python", "run-code.py"]

这将从continuumio / anaconda Dockerfile安装Anaconda,然后它将使用Anaconda安装opencv。如果您需要,还有一个用于Python 3的独立的连续文件Dockerfile。

答案 2 :(得分:3)

这是一个基于Ubuntu 16.04和Python2 + Python3 + OpenCV构建的image。你可以使用它 docker pull chennavarri/ubuntu_opencv_python

这是Dockerfile(在上面提到的相同dockerhub repo中提供),它将在Ubuntu 16.04上为python2和python3安装opencv,并设置相应的raw1394链接。复制自https://github.com/chennavarri/docker-ubuntu-python-opencv

FROM ubuntu:16.04
MAINTAINER Chenna Varri

RUN apt-get update
RUN apt-get install -y build-essential apt-utils

RUN apt-get install -y cmake git libgtk2.0-dev pkg-config libavcodec-dev \
  libavformat-dev libswscale-dev
RUN  apt-get update && apt-get install -y python-dev python-numpy \
  python3 python3-pip python3-dev libtbb2 libtbb-dev \
  libjpeg-dev libjasper-dev libdc1394-22-dev \
  python-opencv libopencv-dev libav-tools python-pycurl \
  libatlas-base-dev gfortran webp qt5-default libvtk6-dev zlib1g-dev

RUN pip3 install numpy

RUN apt-get install -y python-pip
RUN pip install --upgrade pip

RUN cd ~/ &&\
    git clone https://github.com/Itseez/opencv.git &&\
    git clone https://github.com/Itseez/opencv_contrib.git &&\
    cd opencv && mkdir build && cd build && cmake  -DWITH_QT=ON -DWITH_OPENGL=ON -DFORCE_VTK=ON -DWITH_TBB=ON -DWITH_GDAL=ON -DWITH_XINE=ON -DBUILD_EXAMPLES=ON .. && \
    make -j4 && make install && ldconfig

# Set the appropriate link
RUN ln /dev/null /dev/raw1394

RUN cd ~/opencv

新用Docker开始的人员的一些附加说明:

  • 在放置此Dockerfile的目录中,将docker镜像构建为docker build -t ubuntu_cv .

  • 构建图像后,您可以执行docker images

    进行检查
    REPOSITORY   TAG       IMAGE ID      CREATED             SIZE
    
    ubuntu_cv  latest    6210ddd6346b   24 minutes ago      2.192 GB
    
  • 您可以使用docker run -t -i ubuntu_cv:latest

  • 启动泊坞广告容器

答案 3 :(得分:0)

from    ubuntu:12.10

# Ubuntu sides with libav, I side with ffmpeg.
run echo "deb http://ppa.launchpad.net/jon-severinsson/ffmpeg/ubuntu quantal main" >> /etc/apt/sources.list
run apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 1DB8ADC1CFCA9579


run apt-get update
run apt-get install -y -q wget curl
run apt-get install -y -q build-essential
run apt-get install -y -q cmake
run apt-get install -y -q python2.7 python2.7-dev
run wget 'https://pypi.python.org/packages/2.7/s/setuptools/setuptools-0.6c11-py2.7.egg' && /bin/sh setuptools-0.6c11-py2.7.egg && rm -f setuptools-0.6c11-py2.7.egg
run curl 'https://raw.github.com/pypa/pip/master/contrib/get-pip.py' | python2.7
run pip install numpy
run apt-get install -y -q libavformat-dev libavcodec-dev libavfilter-dev libswscale-dev
run apt-get install -y -q libjpeg-dev libpng-dev libtiff-dev libjasper-dev zlib1g-dev libopenexr-dev libxine-dev libeigen3-dev libtbb-dev
add build_opencv.sh /build_opencv.sh
run /bin/sh /build_opencv.sh
run rm -rf /build_opencv.sh

答案 4 :(得分:0)

要在docker中安装Opencv(最新版本)...步骤与Linux版本相似,只是符号链接路径不同:

apt install -y libtiff5-dev libjpeg8-dev libpng-dev
apt install -y libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev
apt install -y libxine2-dev libv4l-dev
apt install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
apt install -y qt5-default
apt install -y libatlas-base-dev
apt install -y libfaac-dev libmp3lame-dev libtheora-dev
apt install -y libvorbis-dev libxvidcore-dev
apt install -y libopencore-amrnb-dev libopencore-amrwb-dev
apt install -y x264 x265 v4l-utils
apt install -y libprotobuf-dev protobuf-compiler
apt install -y libeigen3-dev

wget --output-document cv.zip https://github.com/opencv/opencv/archive/4.0.1.zip
wget --output-document contrib.zip 
https://github.com/opencv/opencv_contrib/archive/4.0.1.zip
unzip cv.zip
unzip contrib.zip
cd opencv-4.0.1
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE \
  -D CMAKE_INSTALL_PREFIX=/usr/local \
  -D WITH_TBB=ON \
  -D WITH_V4L=ON \
  -D WITH_QT=ON \
  -D WITH_OPENGL=ON \
  -D WITH_CUDA=ON \
  -D WITH_NVCUVID=OFF \
  -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-4.0.1/modules \
  -D OPENCV_ENABLE_NONFREE=ON \
  ..

make -j 'number of gpu'
make install 
ldconfig
ln -s /usr/local/lib/python3.6/dist-packages/cv2/python-3.6/cv2.cpython-36m-x86_64-linux-gnu.so /usr/local/lib/python3.6/dist-packages/cv2/python-3.6/cv2.so

这对我有用!

答案 5 :(得分:0)

我使用这个 Dockerfile,它的作用就像一个魅力

FROM python:3.9

LABEL mantainer="Baher Elnaggar <eng.baher77@gmail.com>"

WORKDIR /opt/build

ENV OPENCV_VERSION="4.5.1"

RUN apt-get -qq update \
    && apt-get -qq install -y --no-install-recommends \
        build-essential \
        cmake \
        git \
        wget \
        unzip \
        yasm \
        pkg-config \
        libswscale-dev \
        libtbb2 \
        libtbb-dev \
        libjpeg-dev \
        libpng-dev \
        libtiff-dev \
        libopenjp2-7-dev \
        libavformat-dev \
        libpq-dev \
    && pip install numpy \
    && wget -q https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.zip -O opencv.zip \






    && unzip -qq opencv.zip -d /opt \
    && rm -rf opencv.zip \
    && cmake \
        -D BUILD_TIFF=ON \
        -D BUILD_opencv_java=OFF \
        -D WITH_CUDA=OFF \
        -D WITH_OPENGL=ON \
        -D WITH_OPENCL=ON \
        -D WITH_IPP=ON \
        -D WITH_TBB=ON \
        -D WITH_EIGEN=ON \
        -D WITH_V4L=ON \
        -D BUILD_TESTS=OFF \
        -D BUILD_PERF_TESTS=OFF \
        -D CMAKE_BUILD_TYPE=RELEASE \
        -D CMAKE_INSTALL_PREFIX=$(python3.9 -c "import sys; print(sys.prefix)") \
        -D PYTHON_EXECUTABLE=$(which python3.9) \
        -D PYTHON_INCLUDE_DIR=$(python3.9 -c "from distutils.sysconfig import get_python_inc; print(get_python_inc())") \
        -D PYTHON_PACKAGES_PATH=$(python3.9 -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())") \
        /opt/opencv-${OPENCV_VERSION} \
    && make -j$(nproc) \
    && make install \
    && rm -rf /opt/build/* \
    && rm -rf /opt/opencv-${OPENCV_VERSION} \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get -qq autoremove \
    && apt-get -qq clean