妙算（manifold）上cuda、opencv以及qt的配置

版权声明：本文为博主原创文章，未经博主允许不得转载。

回家第一天，配置妙算环境成功，写篇博客记录下过程，（之前配置qt一直没成功= =vs用多了vim实在用不惯）。

一、安装CUDA(同官方PDF)
1. 访问下链接:
http://developer.download.nvidia.com/embedded/L4T/r21_Release_v3.0/cuda-repo-l4t-r21.3-
6-5-prod_6.5-42_armhf.deb
2. 执行以下命令安装 “cuda-repo-l4t-r21.3-6-5-prod_6.5-42_armhf.deb”至操作系统。

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1. sudo dpkg -i cuda-repo-l4t-r21.3-6-5-prod_6.5-42_armhf.deb  
2. sudo apt-get update  
3. sudo apt-get install cuda-toolkit-6-5  

具体请参考以下链接:https://developer.nvidia.com/embedded/linux-tegra

（想跑CUDA例程的可参考http://blog.csdn.net/FRD2009041510/article/details/42042807）

二、安装OpenCV

（这一步主要参照两个网站

1.http://blog.csdn.net/FRD2009041510/article/details/42930113   //图文教程挺详细的

2.http://elinux.org/Jetson/Installing_OpenCV）

1.安装 OpenCV4tegra
访问以下链接以下载安装包“ libopencv4tegra-repo_l4t-r21_2.4.10.1_armhf.
deb ”
http://developer.download.nvidia.com/embedded/OpenCV/L4T_21.2/libopencv4tegra-repo_
l4t-r21_2.4.10.1_armhf.deb   //最新的库版本是2.4.12了
执行以下命令进行安装

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1. sudo dpkg -i libopencv4tegra-repo_l4t-r21_2.4.10.1_armhf.deb  
2. sudo apt-get update  
3. sudo apt-get install libopencv4tegra libopencv4tegra-dev  

2.安装函数库

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1. sudo add-apt-repository universe  
2. sudo apt-get update  
3. # Some general development libraries  
4. sudo apt-get install build-essential make cmake cmake-curses-gui g++  
5. # libav video input/output development libraries  
6. sudo apt-get install libavformat-dev libavutil-dev libswscale-dev  
7. # Video4Linux camera development libraries  
8. sudo apt-get install libv4l-dev  
9. # Eigen3 math development libraries  
10. sudo apt-get install libeigen3-dev  
11. # OpenGL development libraries (to allow creating graphical windows)  
12. sudo apt-get install libglew1.6-dev  
13. # GTK development libraries (to allow creating graphical windows)  
14. sudo apt-get install libgtk2.0-dev  

3.安装opencv源码

①.下载源码（推荐2.4.10）

 

https://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.10/

②.解压

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cd Downloads  
unzip opencv-2.4.10.zip  
mv opencv-2.4.10 ~  

③.Make

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1. cd ~/opencv-2.4.10  
2. mkdir build  
3. cd build  
4. cmake -DWITH_CUDA=ON -DCUDA_ARCH_BIN="3.2" -DCUDA_ARCH_PTX="" -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF ..  
5. sudo make -j4 install  

④.配置环境变量

echo "# Use OpenCV and other custom-built libraries." >> ~/.bashrcecho "export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/" >> ~/.bashrcsource ~/.bashrc

⑤.测试

第一个例子：边缘提取

# Test a simple OpenCV program. Creates a graphical window, hence you should plug a HDMI monitor in or use a remote viewer such as X Tunneling or VNC or TeamViewer on your desktop.cd ~/opencv-2.4.10/samples/cppg++ edge.cpp -lopencv_core -lopencv_imgproc -lopencv_highgui -o edge(Or for OpenCV 3.0: g++ edge.cpp -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_imgcodecs -o edge)./edge

第二个例子：摄像头图像的拉普拉斯变换

# If you have a USB webcam plugged in to your board, then test one of the live camera programs and linking to every OpenCV module.g++ laplace.cpp -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_calib3d -lopencv_contrib -lopencv_features2d -lopencv_flann -lopencv_gpu -lopencv_legacy -lopencv_ml -lopencv_objdetect -lopencv_photo -lopencv_stitching -lopencv_superres -lopencv_video -lopencv_videostab -o laplace(Or for OpenCV 3.0: g++ laplace.cpp -lopencv_adas -lopencv_bgsegm -lopencv_bioinspired -lopencv_calib3d -lopencv_ccalib -lopencv_core -lopencv_datasets -lopencv_face -lopencv_features2d -lopencv_flann -lopencv_highgui -lopencv_imgcodecs -lopencv_imgproc -lopencv_latentsvm -lopencv_line_descriptor -lopencv_ml -lopencv_objdetect -lopencv_optflow -lopencv_photo -lopencv_reg -lopencv_rgbd -lopencv_saliency -lopencv_shape -lopencv_stitching -lopencv_superres -lopencv_surface_matching -lopencv_text -lopencv_tracking -lopencv_videoio -lopencv_video -lopencv_videostab -lopencv_xfeatures2d -lopencv_ximgproc -lopencv_xobjdetect -lopencv_xphoto -o laplace)./laplace

第三个例子：CPU和GPU进行图像的霍夫变换

# Test a GPU accelerated OpenCV sample.cd ../gpug++ houghlines.cpp -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_calib3d -lopencv_contrib -lopencv_features2d -lopencv_flann -lopencv_gpu -lopencv_legacy -lopencv_ml -lopencv_objdetect -lopencv_photo -lopencv_stitching -lopencv_superres -lopencv_video -lopencv_videostab -o houghlines./houghlines ../cpp/logo_in_clutter.png

三、QT的安装与配置

1.安装，使用apt-get，编译opensource的方法没有通过//不过！！！貌似只安装qtcreater就行了，商店里有

sudo apt-get install qt4-dev-tools #开发包 　　sudo apt-get install qtcreator #IDE　　sudo apt-get install qt4-doc #开发帮助文档 　　sudo apt-get install qt4-qtconfig #配置工具 　　sudo apt-get install qt4-demos #DEMO源码  QT

2.配置

①.打开qt->Tools->Options->Build&Run

②.配置Qt Versions以及Compilers

在termial中输入which qmake以及which gcc把相应的地址添加进去

3.测试

新建一个控制台工程

在main.c中加入

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1. #include <QCoreApplication>  
2. #include <cstdio>  
3. #include <iostream>  
4. #include <opencv2/core/core.hpp>  
5. #include <opencv2/highgui/highgui.hpp>  
6. #include <opencv2/imgproc/imgproc.hpp>  
7.   
8. using namespace cv;  
9. using namespace std;  
10.   
11. int main(int argc, char *argv[])  
12. {  
13. //    QCoreApplication a(argc, argv);  
14.   
15.     namedWindow( "src", WINDOW_AUTOSIZE );  
16.     printf("hello lena\n");  
17.     Mat src1 = imread( "lena.jpg" );  
18.     while(1)  
19.     {  
20.         imshow( "src", src1 );  
21.         char c =  waitKey(30);  
22.         if( 27==c )  
23.             return 0;  
24.     }  
25.   
26. //    return a.exec();  
27. }  

在.pro文件中加入

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1. SOURCES += main.cpp  
2. INCLUDEPATH += /usr/local/include \  
3.                 /usr/local/include/opencv \  
4.                 /usr/local/include/opencv2  
5.   
6. LIBS += /usr/local/lib/libopencv_highgui.so \  
7.         /usr/local/lib/libopencv_core.so    \  
8.         /usr/local/lib/libopencv_imgproc.so  

在生成的调试文件夹中放入lena.jpg
然后运行

大功告成啦！