Linux中OpenCV安装及在Intellij Idea中Java调用

安装OpenCV

1.安装依赖包

OpenCV依赖如下包：

GCC 4.4.x or later
CMake 2.6 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

在终端中执行如下命令安装依赖包：

[compiler] sudo apt-get install build-essential
[required] sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
[optional] sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

2.获取OpenCV源码

github地址：https://github.com/opencv/opencv
官网地址：http://opencv.org/downloads.html

除Windows以外，其他的系统都需要手动源码编译。

3.编译OpenCV源码

• 解压压缩包到~/opencv-2.4.13文件夹

• 进入安装目录执行如下命令
  cd ~/opencv-1.2.4
  mkdir release
  cd release
  cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
  
  依赖包安装完成

  
  release文件夹中产生很多文件

  

• 进入release目录执行如下命令
  make
  sudo make install
  执行make命令

  

  make命令执行完成（可能花半个多小时，中途还可能出现错误）

  

  执行sudo make install

  

• 等待编译完成，添加库路径及更新

  sudo /bin/bash -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
  sudo ldconfig
  

  安装完成后release/bin目录如下：

  

在IntellijIdea中使用OpenCV

1. 建立Java项目
2. 在Project Structure->Libraries中导入依赖包opencv-2413.jar（在~/release/bin下）
   

3. 编写Java测试代码

   package org.fang.test;
   import org.opencv.core.Core;
   import org.opencv.core.Mat;
   import org.opencv.core.MatOfRect;
   import org.opencv.core.Point;
   import org.opencv.core.Rect;
   import org.opencv.core.Scalar;
   import org.opencv.highgui.Highgui;
   import org.opencv.objdetect.CascadeClassifier;
   
   /*
    * Detects faces in an image, draws boxes around them, and writes the results
    * to "faceDetection.png".
    */
   public class DetectFaceDemo {
       public void run() {
           System.out.println("\nRunning DetectFaceDemo");
   
           // Create a face detector from the cascade file in the resources
           // directory.
           CascadeClassifier faceDetector = new CascadeClassifier(getClass()
                   .getResource("/lbpcascade_frontalface.xml").getPath());
           Mat image = Highgui.imread(getClass().getResource(
                   "/AverageMaleFace.jpg").getPath());
   
           // Detect faces in the image.
           // MatOfRect is a special container class for Rect.
           MatOfRect faceDetections = new MatOfRect();
           faceDetector.detectMultiScale(image, faceDetections);
   
           System.out.println(String.format("Detected %s faces",
                   faceDetections.toArray().length));
   
           // Draw a bounding box around each face.
           for (Rect rect : faceDetections.toArray()) {
               Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x
                       + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
           }
   
           // Save the visualized detection.
           String filename = "faceDetection.png";
           System.out.println(String.format("Writing %s", filename));
           Highgui.imwrite(filename, image);
       }
   }
   

4. 提交运行需要在Run/Debug Donfigurations中VM Options添加
   -Djava.library.path=/home/fang/SoftWare/opencv-2.4.13/release/lib
   

5. 运行结果

   

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The End