CentOS , Ubuntu 和 Mac OS 上编译安装 OpenCV4 及 SpringBoot 的结合使用

发表于 2019-03-15 更新于 2024-11-28 分类于 OpenCV篇阅读次数：

记录下 CentOS , Ubuntu 和 Mac OS 上编译安装 OpenCV

为什么没有 Windows 下的编译安装

因为官网已经提供的编译好的 exe 包,双击运行就会解压到特定的目录了,除此之外官网还提供了 ios 版和安卓版
这里着重记录下 CentOS , Ubuntu 和 Mac OS 下的安装,因为官网没有提供编译好的包

条件

GCC 4.4.x or later
CMake 2.8.7 or higher
Git
GTK+2.x or higher, including headers (libgtk2.0-dev)
pkg-config
Python 2.6 or later and Numpy 1.5 or later with developer packages (python-dev, python-numpy)
ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
[optional] libtbb2 libtbb-dev
[optional] libdc1394 2.x
[optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev, libdc1394-22-dev
[optional] CUDA Toolkit 6.5 or higher

步骤

安装常用的开发编译工具包, Centos 的命令为: yum groupinstall “Development Tools”, Ubuntu 的命令为: apt-get install build-essential
安装 cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
mkdir opencv4; cd opencv4
git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git
cd opencv
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local .. (如果不工作的话,删除 -D的空格,cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local ..)
make -j7 # runs 7 jobs in parallel 使用7个并行任务来编译
生成文档 cd ~/opencv/build/doc/; make -j7 doxygen
make install

编译好的包

centos7 版: http://cloud.joylau.cn:1194/s/kUoNelmj1SX810K 或者 https://pan.baidu.com/s/1qaZ-TbF0xP0DxaEJKbdt-A 提取码: jkir
Ubuntu 16.04 版: http://cloud.joylau.cn:1194/s/TsNRKwxJhM0v0HE 或者 https://pan.baidu.com/s/1ha6nATLrSt5WPL1iQlmWSg 提取码: gduu
java 调用所需 opencv-410.jar 包: //s3.joylau.cn:9000/blog/opencv-410.jar

Mac OS 上

AppStore 上安装 XCode, 安装完成打开 XCode , 同意 license
安装 HomeBrew
安装必要依赖: Python 3, CMake and Qt 5

1
2
3

brew install python3
brew install cmake
brew install qt5

安装环境

mkdir ~/opencv4
git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git

# 变量定义
cwd=$(pwd)
cvVersion="master"
QT5PATH=/usr/local/Cellar/qt/5.12.2

rm -rf opencv/build
rm -rf opencv_contrib/build

# Create directory for installation
mkdir -p installation/OpenCV-"$cvVersion"

sudo -H pip3 install -U pip numpy
# Install virtual environment
sudo -H python3 -m pip install virtualenv virtualenvwrapper
VIRTUALENVWRAPPER_PYTHON=/usr/local/bin/python3
echo "VIRTUALENVWRAPPER_PYTHON=/usr/local/bin/python3" >> ~/.bash_profile
echo "# Virtual Environment Wrapper" >> ~/.bash_profile
echo "source /usr/local/bin/virtualenvwrapper.sh" >> ~/.bash_profile
cd $cwd
source /usr/local/bin/virtualenvwrapper.sh
 
############ For Python 3 ############
# create virtual environment 由于 mac OS 本身使用的是 Python 2.7 , 而一些本身的应用依赖于 Python 2 ,为了不影响原来的环境,这里创建一个 Python3 的虚拟环境来进行编译
mkvirtualenv OpenCV-"$cvVersion"-py3 -p python3
workon OpenCV-"$cvVersion"-py3
  
# now install python libraries within this virtual environment
pip install cmake numpy scipy matplotlib scikit-image scikit-learn ipython dlib
  
# quit virtual environment
deactivate
######################################

cd opencv
mkdir build
cd build

cmake -D CMAKE_BUILD_TYPE=RELEASE \
            -D CMAKE_INSTALL_PREFIX=$cwd/installation/OpenCV-"$cvVersion" \
            -D INSTALL_C_EXAMPLES=ON \
            -D INSTALL_PYTHON_EXAMPLES=ON \
            -D WITH_TBB=ON \
            -D WITH_V4L=ON \
            -D OPENCV_SKIP_PYTHON_LOADER=ON \
            -D CMAKE_PREFIX_PATH=$QT5PATH \
            -D CMAKE_MODULE_PATH="$QT5PATH"/lib/cmake \
            -D OPENCV_PYTHON3_INSTALL_PATH=~/.virtualenvs/OpenCV-"$cvVersion"-py3/lib/python3.7/site-packages \
        -D WITH_QT=ON \
        -D WITH_OPENGL=ON \
        -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules \
        -D BUILD_EXAMPLES=ON ..

make -j$(sysctl -n hw.physicalcpu)
make install

cmake 后输出如下:

--   OpenCV modules:
--     To be built:                 aruco bgsegm bioinspired calib3d ccalib core cvv datasets dnn dnn_objdetect dpm face features2d flann freetype fuzzy gapi hfs highgui img_hash imgcodecs imgproc java java_bindings_generator line_descriptor ml objdetect optflow phase_unwrapping photo plot python2 python3 python_bindings_generator quality reg rgbd saliency shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab xfeatures2d ximgproc xobjdetect xphoto
--     Disabled:                    world
--     Disabled by dependency:      -
--     Unavailable:                 cnn_3dobj cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev hdf js matlab ovis sfm viz
--     Applications:                tests perf_tests examples apps
--     Documentation:               NO
--     Non-free algorithms:         NO
-- 
--   GUI: 
--     QT:                          YES (ver 5.12.2)
--       QT OpenGL support:         YES (Qt5::OpenGL 5.12.2)
--     Cocoa:                       YES
--     OpenGL support:              YES (/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.14.sdk/System/Library/Frameworks/OpenGL.framework /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.14.sdk/System/Library/Frameworks/OpenGL.framework)
--     VTK support:                 NO
-- 
--   Media I/O: 
--     ZLib:                        build (ver 1.2.11)
--     JPEG:                        build-libjpeg-turbo (ver 2.0.2-62)
--     WEBP:                        build (ver encoder: 0x020e)
--     PNG:                         build (ver 1.6.36)
--     TIFF:                        build (ver 42 - 4.0.10)
--     JPEG 2000:                   build (ver 1.900.1)
--     OpenEXR:                     build (ver 1.7.1)
--     HDR:                         YES
--     SUNRASTER:                   YES
--     PXM:                         YES
--     PFM:                         YES
-- 
--   Video I/O:
--     DC1394:                      NO
--     FFMPEG:                      YES
--       avcodec:                   YES (58.35.100)
--       avformat:                  YES (58.20.100)
--       avutil:                    YES (56.22.100)
--       swscale:                   YES (5.3.100)
--       avresample:                YES (4.0.0)
--     GStreamer:                   NO
--     AVFoundation:                YES
--     v4l/v4l2:                    NO
-- 
--   Parallel framework:            GCD
-- 
--   Trace:                         YES (with Intel ITT)
-- 
--   Other third-party libraries:
--     Intel IPP:                   2019.0.0 Gold [2019.0.0]
--            at:                   /Users/joylau/opencv4/opencv/build/3rdparty/ippicv/ippicv_mac/icv
--     Intel IPP IW:                sources (2019.0.0)
--               at:                /Users/joylau/opencv4/opencv/build/3rdparty/ippicv/ippicv_mac/iw
--     Lapack:                      YES (/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.14.sdk/System/Library/Frameworks/Accelerate.framework)
--     Eigen:                       NO
--     Custom HAL:                  NO
--     Protobuf:                    build (3.5.1)
-- 
--   OpenCL:                        YES (no extra features)
--     Include path:                NO
--     Link libraries:              -framework OpenCL
-- 
--   Python 2:
--     Interpreter:                 /usr/bin/python2.7 (ver 2.7.10)
--     Libraries:                   /usr/lib/libpython2.7.dylib (ver 2.7.10)
--     numpy:                       /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/include (ver 1.8.0rc1)
--     install path:                lib/python2.7/site-packages
-- 
--   Python 3:
--     Interpreter:                 /usr/local/bin/python3 (ver 3.7.2)
--     Libraries:                   /usr/local/Frameworks/Python.framework/Versions/3.7/lib/libpython3.7m.dylib (ver 3.7.2)
--     numpy:                       /usr/local/lib/python3.7/site-packages/numpy/core/include (ver 1.16.2)
--     install path:                /Users/joylau/.virtualenvs/OpenCV-master-py3/lib/python3.7/site-packages
-- 
--   Python (for build):            /usr/bin/python2.7
-- 
--   Java:                          
--     ant:                         /Users/joylau/dev/apache-ant-1.10.5/bin/ant (ver 1.10.5)
--     JNI:                         /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.14.sdk/System/Library/Frameworks/JavaVM.framework/Headers /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.14.sdk/System/Library/Frameworks/JavaVM.framework/Headers /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.14.sdk/System/Library/Frameworks/JavaVM.framework/Headers
--     Java wrappers:               YES
--     Java tests:                  YES
-- 
--   Install to:                    /Users/joylau/opencv4/installation/OpenCV-master
-- -----------------------------------------------------------------
-- 
-- Configuring done
-- Generating done
-- Build files have been written to: /Users/joylau/opencv4/opencv/build

编译好的安装包: http://cloud.joylau.cn:1194/s/6GMLl09ZAYNAUMU 或者: https://pan.baidu.com/s/1YBxUD_vB1zKOcxHeAtn6Xw 提取码: twsq

遇到的问题

CentOS 上 CMake 版本太低的解决方法

yum 上安装的版本太低,先卸载掉版本低的,yum remove cmake
cd /opt
tar zxvf cmake-3.10.2-Linux-x86_64.tar.gz
vim /etc/profile
export CMAKE_HOME=/opt/cmake-3.10.2-Linux-x86_64
export PATH=$PATH:$CMAKE_HOME/bin
source /etc/profile

没有生成 opencv-410.jar

Java:                          
--     ant:                         /bin/ant (ver 1.9.4)
--     JNI:                         /usr/lib/jvm/java-1.8.0-openjdk/include /usr/lib/jvm/java-1.8.0-openjdk/include/linux /usr/lib/jvm/java-1.8.0-openjdk/include
--     Java wrappers:               YES
--     Java tests:                  NO

需要 ant 环境,安装后即可, java 即可进行调用

IDEA 及 Spring Boot 项目中的使用

下载 opencv-410.jar 包,引入到项目中

dependencies {
    implementation 'org.springframework.boot:spring-boot-starter-web'
    compileOnly 'org.projectlombok:lombok'
    annotationProcessor 'org.projectlombok:lombok'
    testImplementation 'org.springframework.boot:spring-boot-starter-test'

    compile fileTree(dir:'libs',include:['*.jar'])
}

配置动态库路径, vm options: -Djava.library.path=/home/joylau/opencv4/opencv/build/lib

vm options

mac os 下路径为: -Djava.library.path=/Users/joylau/opencv4/installation/OpenCV-master/share/java/opencv4

加载动态库

@SpringBootApplication
public class OpencvTestApplication {

    public static void main(String[] args) {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        System.out.println(Core.VERSION);
        SpringApplication.run(OpencvTestApplication.class, args);
    }
}

脸部识别 demo

private static void testFace() {
        // 1 读取OpenCV自带的人脸识别特征XML文件
        CascadeClassifier facebook = new CascadeClassifier("/home/joylau/opencv4/opencv/data/haarcascades/haarcascade_frontalface_alt.xml");
        // 2 读取测试图片
        Mat image = Imgcodecs.imread("/home/joylau/图片/image-test-4.jpg");
        // 3 特征匹配
        MatOfRect face = new MatOfRect();
        facebook.detectMultiScale(image, face);
        // 4 匹配 Rect 矩阵 数组
        Rect[] rects = face.toArray();
        System.out.println("匹配到 " + rects.length + " 个人脸");
        // 5 为每张识别到的人脸画一个框
        for (int i = 0; i < rects.length; i++) {
            Imgproc.rectangle(image,new Point(rects[i].x, rects[i].y), new Point(rects[i].x + rects[i].width, rects[i].y + rects[i].height), new Scalar(0, 0, 255));
            Imgproc.putText(image,"face-" + i, new Point(rects[i].x, rects[i].y),Imgproc.FONT_HERSHEY_SIMPLEX, 1.0, new Scalar(0, 255, 0),1,Imgproc.LINE_AA,false);
        }
        // 6 展示图片
        HighGui.imshow("人脸-匹配", image);
        HighGui.waitKey(0);
    }

test_face

注: 图片来自微博

边缘检测 demo

private static void testContours() {
        //1 获取原图
        Mat src = Imgcodecs.imread("/home/joylau/图片/image-test.jpg");
        //2 图片灰度化
        Mat gary = new Mat();
        Imgproc.cvtColor(src, gary, Imgproc.COLOR_RGB2GRAY);
        //3 图像边缘处理
        Mat edges = new Mat();
        Imgproc.Canny(gary, edges, 200, 500, 3, false);
        //4 发现轮廓
        List<MatOfPoint> list = new ArrayList<MatOfPoint>();
        Mat hierarchy = new Mat();
        Imgproc.findContours(edges, list, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);
        //5 绘制轮廓
        for (int i = 0, len = list.size(); i < len; i++) {
            Imgproc.drawContours(src, list, i, new Scalar(0, 255, 0), 1, Imgproc.LINE_AA);
        }
        HighGui.imshow("边缘检测", src);
        HighGui.waitKey(0);
    }

test_source
test_contours

实时人脸识别

/**
     * OpenCV-4.0.0 实时人脸识别
     *
     */
    public static void videoFace() {
        VideoCapture capture=new VideoCapture(0);
        Mat image=new Mat();
        int index=0;
        if (capture.isOpened()) {
            do {
                capture.read(image);
                HighGui.imshow("实时人脸识别", getFace(image));
                index = HighGui.waitKey(1);
            } while (index != 27);
        }
    }

    /**
     * OpenCV-4.0.0 人脸识别
     * @param image 待处理Mat图片(视频中的某一帧)
     * @return 处理后的图片
     */
    public static Mat getFace(Mat image) {
        // 1 读取OpenCV自带的人脸识别特征XML文件
        CascadeClassifier facebook=new CascadeClassifier("/Users/joylau/opencv4/opencv/data/haarcascades/haarcascade_frontalface_alt.xml");
        // 2  特征匹配类
        MatOfRect face = new MatOfRect();
        // 3 特征匹配
        facebook.detectMultiScale(image, face);
        Rect[] rects=face.toArray();
        log.info("匹配到 "+rects.length+" 个人脸");
        // 4 为每张识别到的人脸画一个圈
        for (Rect rect : rects) {
            Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
            Imgproc.putText(image, "Human", new Point(rect.x, rect.y), Imgproc.FONT_HERSHEY_SIMPLEX, 2.0, new Scalar(0, 255, 0), 1, Imgproc.LINE_AA, false);
            //Mat dst=image.clone();
            //Imgproc.resize(image, image, new Size(300,300));
        }
        return image;
    }