Ubuntu 配置 opencv , CodeBlocks 开发环境

转自：

主要：http://blog.csdn.net/cenziboy/article/details/7570139

参考：http://blog.csdn.net/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-getinstall codeblocks # apt-getinstall 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 spaceslibrary 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 forthe 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!

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

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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/pkgconfigexport PKG_CONFIG_PATH

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2 codeBlocks链接库配置: Project -> Build Options 如下图：（最好将所有关于opencv的so库文件都选中）

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

4 codeBlocks 路文件目录配置

5

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 << "Notfound Iamge!"<<std::endl;                   return 0;         }    cvNamedWindow("Image", 1);     cvShowImage("Image", pImg);      cvWaitKey(0);      cvDestroyWindow("Image");     cvReleaseImage(&pImg);      return 0; }

测试结果：