【opencv基础】linux系统opencv以及opencv_contrib的安装与使用

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

编译源码以前须要安装相关依赖库；

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.编译连接；

5.安装库；

Required Packages

[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

Bash

/opt$ sudo unzip opencv-3.3.1.zip
/opt$cd opencv-3.3.1
/opt/opencv-3.3.1$sudo mkdir build /opt/opencv-3.3.1$cd build /opt/opencv-3.3.1/build$sudo cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local .. /opt/opencv-3.3.1/build$sudo make -j8（wait long time） /opt/opencv-3.3.1/build$sudo make install

注意事项

1. 注意你要安装的opencv的版本以及cv十二、cv14等；

2.首先须要安装opencv的依赖库，并且必须是在安装opencv以前优先安装依赖库，可参考here；

3.测试程序完成以后，须要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能够设置为多个opencv版本之间的切换；

FIND_PACKAGE(OpenCV 3.3.1 REQUIRED)

example

find_package( OpenCV 3.1.0 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.其余可能是调试代码；

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-3.3.1/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:296 (add_subdirectory): The binary directory /opt/opencv-3.3.1/build/modules/cudaarithm/.cudaarithm is already used to build a source directory. It cannot be used to build source directory /opt/opencv-3.3.1/opencv_contrib/modules/cudaarithm Specify a unique binary directory name. Call Stack (most recent call first): modules/CMakeLists.txt:7 (ocv_glob_modules)

都是相似以上的错误，过程参考here和here，尚未解决。

最后发现是系统有些文件不合适，删除以后再编译就ok啦。。。。发现这个不能解决根本问题。

编译经过可是编译测试程序的时候仍是有问题，没有找到对应的文件，我的以为应该注意opencv_contrib的版本here问题，正在测试。

最后仍是二者的版本问题，两个版本必定要一致。

还有就是cmake那个步骤，此次使用的是绝对路径，不知道使用相对路径是否会出问题，试过的童鞋能够回答一下这个问题。

后来使用相同的版本安装编译以后，使用opencv_contrib中的samples中的例程进行测试，能够正常运行，即说明安装成功。

若是还有问题，多是自己程序有什么BUG引发的，能够进行调试。

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<2){ 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 0; } // create the tracker
  Ptr<Tracker> tracker = TrackerKCF::create(); // set input video
  std::string video = argv[1]; VideoCapture cap(0); Mat frame; // get bounding box
  cap >> frame; Rect2d roi= selectROI("tracker", frame, true, false); //quit if ROI was not selected
  if(roi.width==0 || roi.height==0) return 0; // 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==0 || frame.cols==0) break; // update the tracking result
    bool isfound = tracker->update(frame,roi); if(!isfound) { cout << "The target has been lost...\n"; waitKey(0); return 0; } // draw the tracked object
    rectangle( frame, roi, Scalar( 255, 0, 0 ), 2, 1 ); // show image with the tracked object
    imshow("tracker",frame); //quit on ESC button
    if(waitKey(1)==27)break; } }

View Code

总结

1.准备安装的opencv和opencv_contrib的版本必定要一致，切记！！！

2.按照官网的步骤一步步执行相应的操做，必定要注意cmake那个步骤。

3.安装完成以后可使用源码中的一些samples代码进行测试。

4.测试的程序必定要没有bug哈～

参考

1.opencv官网；

2.CMakeLists编写；

3.CMakeLists-practice文档；

4.opencv多个版本的cmake切换；

5.CSDN博客介绍；

完