Ubuntu配置CodeBlocks+opencv

最新推荐文章于 2021-05-23 17:26:57 发布

peterchan88

最新推荐文章于 2021-05-23 17:26:57 发布

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分类专栏： opencv 文章标签： opencv codeblocks

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本文介绍如何在Ubuntu系统中安装配置CodeBlocks及OpenCV，并实现简单图像显示测试。主要内容包括通过软件中心或命令行安装CodeBlocks，使用apt-get安装OpenCV，以及CodeBlocks的库文件和头文件配置步骤。

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Ubuntu 配置 opencv , CodeBlocks 开发环境

转自：

主要：http://blog.youkuaiyun.com/cenziboy/article/details/7570139

参考：http://blog.youkuaiyun.com/yr119111/article/details/7666106

一、安装CodeBlocks（我用的是方法一）

方法一：直接在Ubuntu软件中心中找到CodeBlocks软件，直接安装；

方法二：命令行安装

# apt-get install codeblocks

# apt-get install codeblocks-contrib # wxWidgets 貌似要用

# apt-get install libwxbase2.8-dev # 还是 wxWidgets 的东东

二、安装opencv

1、先查询opencv

~# apt-cache search opencv #输入此行命令，下面为系统查询结果

libcv-dev - Translation package for libcv-dev

libcv2.3 - computer vision library - libcv* translation package

libcvaux-dev - Translation package for libcvaux-dev

libcvaux2.3 - computer vision library - libcvaux translation package

libhighgui-dev - Translation package for libhighgui-dev

libhighgui2.3 - computer vision library - libhighgui translation package

libopencv-calib3d-dev - development files for libopencv-calib3d

libopencv-calib3d2.3 - computer vision Camera Calibration library

libopencv-contrib-dev - development files for libopencv-contrib

libopencv-contrib2.3 - computer vision contrib library

libopencv-core-dev - development files for libopencv-core

libopencv-core2.3 - computer vision core library

libopencv-dev - development files for opencv

libopencv-features2d-dev - development files for libopencv-features2d

libopencv-features2d2.3 - computer vision Feature Detection and Descriptor Extraction library

libopencv-flann-dev - development files for libopencv-flann

libopencv-flann2.3 - computer vision Clustering and Search in Multi-Dimensional spaces library

libopencv-gpu-dev - development files for libopencv-gpu

libopencv-gpu2.3 - computer vision GPU Processing library

libopencv-highgui-dev - development files for libopencv-highgui

libopencv-highgui2.3 - computer vision High-level GUI and Media I/O library

libopencv-imgproc-dev - development files for libopencv-imgproc

libopencv-imgproc2.3 - computer vision Image Processing library

libopencv-legacy-dev - development files for libopencv-legacy

libopencv-legacy2.3 - computer vision legacy library

libopencv-ml-dev - development files for libopencv-ml

libopencv-ml2.3 - computer vision Machine Learning library

libopencv-objdetect-dev - development files for libopencv-objdetect

libopencv-objdetect2.3 - computer vision Object Detection library

libopencv-video-dev - development files for libopencv-video

libopencv-video2.3 - computer vision Video analysis library

opencv-doc - OpenCV documentation and examples

python-opencv - Python bindings for the computer vision library

2、根据查询结果安装

#1 输入命令

# apt-get install libcv2.3 libcvaux2.3 libhighgui2.3

#2 输入命令

# apt-get install libcv-dev libcvaux-dev libhighgui-dev

三、codeblocks+opencv的配置

1、相关文件位置

输入命令~# pkg-config --cflags opencv # opencv 头文件（.h）位置

输出：-I/usr/include/opencv

输入命令：~# pkg-config --libs opencv # opencv 库文件

输出：-lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann

这样就装好了!

（

如果以上两步得不到对应结果则参考http://blog.youkuaiyun.com/yr119111/article/details/7666106中以下配置试试

======================================================

配置Linux.openCV参数设置
在/etc/ld.so.conf.d/opencv.conf文件中加入一行：/usr/local/lib ,

可能会没有opencv.conf这个文件，那我们就自己创建一个:

sudo gedit /etc/ld.so.conf.d/opencv.conf。

使用下面这条命令：

sudo ldconfig

在 /etc/ bash.bashrc中加入:（sudo gedit /etc /bash.bashrc以root进入才能修改）
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH

======================================================）

2、 codeBlocks链接库配置: Project -> Build Options 如下图：

3、 codeBlocks 头文件目录配置（pkg-config --cflags opencv 结果）

4、 CodeBlocks 路文件目录配置

四、测试

测试代码

 
          #include "cv.h" 
         
          #include "highgui.h" 
         
          #include <iostream>
         
          int 
           main() 
         
          { 
         
          IplImage* pImg= cvLoadImage(
          "/home/jh/CBWorkspace/Test1/mao.jpg"
          , 1); 
         
          if
          (pImg==NULL)
         
          {
         
          std::cout << 
          "Not found Iamge!"
          <<std::endl;
         
          return 
          0;
         
          }
         
          cvNamedWindow(
          "Image"
          , 1); 
         
          cvShowImage(
          "Image"
          , pImg); 
         
          cvWaitKey(0); 
         
          cvDestroyWindow(
          "Image"
          ); 
         
          cvReleaseImage(&pImg); 
         
          return 
          0; 
         
          }

测试截图：