前言
本文主要介绍如何在linux系统安装使用opencv.
具体步骤可参考opencv官网here.
步骤
编译源码之前需要安装相关依赖库；
1.下载源码；
2.解压源码；
3.配置cmake；
注意将配置的错误文件删除，以及cmake目录；
4.编译链接；
5.安装库；
Required Packages
[compiler] sudo apt-get install build-essential
[required] sudo apt-get install cmake git libgtk2.-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--dev
Bash
/opt$ sudo unzip opencv-3.3..zip
/opt$cd opencv-3.3.
/opt/opencv-3.3.$sudo mkdir build
/opt/opencv-3.3.$cd build
/opt/opencv-3.3./build$sudo cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
/opt/opencv-3.3./build$sudo make -j8（wait long time）
/opt/opencv-3.3./build$sudo make install
注意事项
1. 注意你要安装的opencv的版本以及cv12、cv14等；
2.首先需要安装opencv的依赖库，而且必须是在安装opencv之前优先安装依赖库，可参考here；
3.测试程序完成之后，需要CMakeLists.txt进行编译，可参考here；
CMAKE_MINIMUM_REQUIRED(VERSION 2.8)
PROJECT(test_opencv)
SET(OpenCV_DIR /lib/opencv2413/opencv-2.4.13.4/build)
INCLUDE_DIRECTORIES(/lib/opencv2413/opencv-2.4.13.4/build/include)
FIND_PACKAGE(OpenCV REQUIRED)
ADD_EXECUTABLE(test_opencv test_opencv.cpp)
TARGET_LINK_LIBRARIES(test_opencv ${OpenCV_LIBS})
FIND_PACKAGE可以设置为多个opencv版本之间的切换；
FIND_PACKAGE(OpenCV 3.3. REQUIRED)
example
find_package( OpenCV 3.1. REQUIRED )
include_directories( ${OpenCV_INCLUDE_DIRS} )
message("OpenCV_INCLUDE_DIRS: ${OpenCV_INCLUDE_DIRS}")
message("OpenCV_LIBS: ${OpenCV_LIBS}")
target_link_libraries( demo ${OpenCV_LIBS} )
4.其他多是调试代码；
如何卸载
cd build
sudo make uninstall
cd ..
sudo rm -r build
sudo rm -r /usr/local/include/opencv2 /usr/local/include/opencv /usr/include/opencv /usr/include/opencv2 /usr/local/share/opencv /usr/local/share/OpenCV /usr/share/opencv /usr/share/OpenCV /usr/local/bin/opencv* /usr/local/lib/libopencv*
cd ..
rm -r opencv3.3.1
添加opencv_contrib
to build with modules from opencv_contrib set OPENCV_EXTRA_MODULES_PATH to <path to opencv_contrib/modules/>
command
/opt/opencv-3.3./build$ sudo cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local -D OPENCV_EXTRA_MODULES_PATH=../opencv_contrib/modules/ ..
error
CMake Error at cmake/OpenCVModule.cmake: (add_subdirectory):
The binary directory /opt/opencv-3.3./build/modules/cudaarithm/.cudaarithm is already used to build a source directory. It cannot be used to build
source directory /opt/opencv-3.3./opencv_contrib/modules/cudaarithm Specify a unique binary directory name.
Call Stack (most recent call first):
modules/CMakeLists.txt: (ocv_glob_modules)
都是类似以上的错误，过程参考here和here，还没有解决。
最后发现是系统有些文件不合适，删除之后再编译就ok啦。。。。发现这个不能解决根本问题。
编译通过但是编译测试程序的时候还是有问题，没有找到对应的文件，个人觉得应该注意opencv_contrib的版本here问题，正在测试。
最后还是两者的版本问题，两个版本一定要一致。
还有就是cmake那个步骤，这次使用的是绝对路径，不知道使用相对路径是否会出问题，试过的童鞋可以回答一下这个问题。
后来使用相同的版本安装编译之后，使用opencv_contrib中的samples中的例程进行测试，可以正常运行，即说明安装成功。
如果还有问题，可能是本身程序有什么BUG引起的，可以进行调试。
test code
/*----------------------------------------------
* Usage:
* ./test 0
*--------------------------------------------------*/ #include <opencv2/core/utility.hpp>
#include <opencv2/tracking.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
#include <cstring>
#include "samples_utility.hpp" using namespace std;
using namespace cv; int main( int argc, char** argv ){
// show help
if(argc<){
cout<<
" Usage: example_tracking_kcf <video_name>\n"
" examples:\n"
" example_tracking_kcf Bolt/img/%04.jpg\n"
" example_tracking_kcf faceocc2.webm\n"
<< endl;
return ;
} // create the tracker
Ptr<Tracker> tracker = TrackerKCF::create(); // set input video
std::string video = argv[];
VideoCapture cap(); Mat frame; // get bounding box
cap >> frame;
Rect2d roi= selectROI("tracker", frame, true, false); //quit if ROI was not selected
if(roi.width== || roi.height==)
return ; // initialize the tracker
tracker->init(frame,roi); // do the tracking
printf("Start the tracking process, press ESC to quit.\n");
for ( ;; ){
// get frame from the video
cap >> frame; // stop the program if no more images
if(frame.rows== || frame.cols==)
break; // update the tracking result
bool isfound = tracker->update(frame,roi);
if(!isfound)
{
cout << "The target has been lost...\n";
waitKey();
return ;
} // draw the tracked object
rectangle( frame, roi, Scalar( , , ), , ); // show image with the tracked object
imshow("tracker",frame); //quit on ESC button
if(waitKey()==)break;
} }
总结
1.准备安装的opencv和opencv_contrib的版本一定要一致，切记！！！
2.按照官网的步骤一步步执行相应的操作，一定要注意cmake那个步骤。
3.安装完成之后可以使用源码中的一些samples代码进行测试。
4.测试的程序一定要没有bug哈～
参考
1.opencv官网；
2.CMakeLists编写；
5.****博客介绍；
完