Ubuntu下opencv3.3和opencv_contrib的编译安装
文件准备
1.opencv-3.3.1.zip
2. opencv_contrib-3.3.1.zip
准备
先安装以下依赖包
sudo apt-get install build-essential
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
sudo apt-get install build-essential qt5-default ccache libv4l-dev libavresample-dev libgphoto2-dev libopenblas-base libopenblas-dev doxygen openjdk-8-jdk pylint libvtk6-dev
sudo apt-get install pkg-config
编译
1.解压下载好的包：
sudo unzip opencv-3.3.1.zip
sudo unzip opencv_contrib-3.3.1.zip
2.解压完后需要将opencv_contrib.zip提取到opencv目录下，同时在该目录下新建一个文件夹build：
sudo cp -r opencv_contrib-3.3.1 opencv-3.3.1 #复制opencv_contrib到opencv目录下
cd opencv-3.3.1
sudo mkdir build #新建文件夹build
3.现在进入到opencv-3.3.1目录下，查看文件结构：
#ls
3rdparty cmake data LICENSE platforms
apps CMakeLists.txt doc modules README.md
build CONTRIBUTING.md include opencv_contrib-3.3.1 samples
4.进入build目录，并且执行cmake生成makefile文件：
cd build
sudo cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local -D OPENCV_EXTRA_MODULES_PATH=/home/files/opencv-3.3.1/opencv_contrib-3.3.1/modules/ ..
sudo cmake -DENABLE_PRECOMPILED_HEADERS=OFF -D CMAKE_BUILD_TYPE=Release -DBUILD_TIFF=ON -D CMAKE_INSTALL_PREFIX=/usr/local -D OPENCV_EXTRA_MODULES_PATH=/home/airobot/opencv-3.4.3/opencv_contrib-3.4.3/modules/ ..
注意：OPENCV_EXTRA_MODULES_PATH就是你 opencv_contrib-3.3.1下面的modules目录，请按照自己的实际目录修改地址。还有后面的两点不可省略！！
接下来就是漫长的等待了…
生成完毕提示：
-- Install path: /usr/local
--
-- cvconfig.h is in: /home/files/opencv-3.3.1/build
-- -----------------------------------------------------------------
--
-- Configuring done
-- Generating done
-- Build files have been written to: /home/files/opencv-3.3.1/build
5.在cmake成功之后，就可以在build文件下make了：
sudo make -j8 #8线程编译
sudo make install
接下来就是更漫长的等待了…具体时间因人而异，我的电脑跑了20分钟。如果看到下图，说明成功了，再make install就ok了！
6.链接库共享
编译安装完毕之后，为了让你的链接库被系统共享，让编译器发现，需要执行管理命令ldconfig：
sudo ldconfig -v
问题
Ubuntu16.04会报错：
Scanning dependencies of target opencv_test_superres
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFReadDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFGetFieldDefaulted@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFNumberOfDirectories@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFIsTiled@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFOpen@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFDefaultStripSize@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFReadRGBAImage@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFReadTile@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFSetField@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFWriteScanline@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `_TIFFfree@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFGetField@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFScanlineSize@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFSetWarningHandler@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFTileSize@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `_TIFFmalloc@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFSetErrorHandler@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFSetDirectory@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFReadScanline@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFClose@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFNumberOfTiles@LIBTIFF_4.0'
//usr/lib/x86_64-linux-gnu/libvtkIOImage-6.2.so.6.2: undefined reference to `TIFFClientOpen@LIBTIFF_4.0'
[ 74%] Building CXX object modules/imgcodecs/CMakeFiles/opencv_perf_imgcodecs.dir/perf/perf_main.cpp.o
[ 74%] Building CXX object modules/shape/CMakeFiles/opencv_test_shape.dir/test/test_main.cpp.o
[ 74%] Building CXX object modules/highgui/CMakeFiles/opencv_test_highgui.dir/test/test_main.cpp.o
[ 75%] Building CXX object modules/superres/CMakeFiles/opencv_test_superres.dir/test/test_main.cpp.o
[ 75%] Building CXX object modules/videoio/CMakeFiles/opencv_perf_videoio.dir/perf/perf_main.cpp.o
[ 75%] Building CXX object modules/videoio/CMakeFiles/opencv_test_videoio.dir/test/test_main.cpp.o
collect2: error: ld returned 1 exit status
modules/viz/CMakeFiles/opencv_test_viz.dir/build.make:233: recipe for target 'bin/opencv_test_viz' failed
make[2]: *** [bin/opencv_test_viz] Error 1
CMakeFiles/Makefile2:5627: recipe for target 'modules/viz/CMakeFiles/opencv_test_viz.dir/all' failed
make[1]: *** [modules/viz/CMakeFiles/opencv_test_viz.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs...
解决方法：
sudo apt-get autoremove libtiff5-dev
sudo apt-get install libtiff5-dev
例子
接下来你就可以在Clion开始写你的Opencv程序了，示例： Clion下第一个opencv3程序 ，记得在Cmakelists.txt上多花点功夫写对。
下面这个例子能跑，证明你上面环境配置完全正确！
/**
* @概述：采用FAST算子检测特征点，采用SIFT算子对特征点进行特征提取，并使用BruteForce匹配法进行特征点的匹配
* @类和函数：FastFeatureDetector + SiftDescriptorExtractor + BruteForceMatcher
*/
#include
#include
using namespace std;
using namespace cv;
using namespace cv::xfeatures2d;
int main(int argc, char** argv)
{
Mat objImage = imread("1.jpg", IMREAD_COLOR);
Mat sceneImage = imread("2.jpg", IMREAD_COLOR);
//-- Step 1: Detect the keypoints using SURF Detector
int minHessian = 400;
Ptr detector = SURF::create(minHessian);
std::vector obj_keypoint, scene_keypoint;
detector->detect(objImage, obj_keypoint);
detector->detect(sceneImage, scene_keypoint);
//computer the descriptors
Mat obj_descriptors, scene_descriptors;
detector->compute(objImage, obj_keypoint, obj_descriptors);
detector->compute(sceneImage, scene_keypoint, scene_descriptors);
//use BruteForce to match,and get good_matches
BFMatcher matcher;
vector matches;
matcher.match(obj_descriptors, scene_descriptors, matches);
sort(matches.begin(), matches.end()); //筛选匹配点
vector good_matches;
for (int i = 0; i < min(50, (int)(matches.size()*0.15)); i++) {
good_matches.push_back(matches[i]);
}
//draw matches
Mat imgMatches;
drawMatches(objImage, obj_keypoint, sceneImage, scene_keypoint,good_matches, imgMatches);
//get obj bounding
vector obj_good_keypoint;
vector scene_good_keypoint;
for (int i = 0; i < good_matches.size(); i++) {
obj_good_keypoint.push_back(obj_keypoint[good_matches[i].queryIdx].pt);
scene_good_keypoint.push_back(scene_keypoint[good_matches[i].trainIdx].pt);
}
vector obj_box(4);
vector scene_box(4);
obj_box[0] = Point(0, 0);
obj_box[1] = Point(objImage.cols, 0);
obj_box[2] = Point(objImage.cols, objImage.rows);
obj_box[3] = Point(0, objImage.rows);
Mat H = findHomography(obj_good_keypoint, scene_good_keypoint, RANSAC); //find the perspective transformation between the source and the destination
perspectiveTransform(obj_box, scene_box, H);
line(imgMatches, scene_box[0]+Point2f((float)objImage.cols, 0), scene_box[1] + Point2f((float)objImage.cols, 0), Scalar(0, 255, 0), 2);
line(imgMatches, scene_box[1] + Point2f((float)objImage.cols, 0), scene_box[2] + Point2f((float)objImage.cols, 0), Scalar(0, 255, 0), 2);
line(imgMatches, scene_box[2] + Point2f((float)objImage.cols, 0), scene_box[3] + Point2f((float)objImage.cols, 0), Scalar(0, 255, 0), 2);
line(imgMatches, scene_box[3] + Point2f((float)objImage.cols, 0), scene_box[0] + Point2f((float)objImage.cols, 0), Scalar(0, 255, 0), 2);
//show the result
imshow("匹配图", imgMatches);
//save picture file
imwrite("final.jpg",imgMatches);
waitKey(0);
return 0;
}
上传1.jpg和2.jpg：
再传一张最后跑出的效果图：
