一、安裝CUDA(同官方PDF)
1. 訪問下鏈接:
http://developer.download.nvidia ... uda-repo-l4t-r21.3-
6-5-prod_6.5-42_armhf.deb
2. 執行以下命令安裝 “cuda-repo-l4t-r21.3-6-5-prod_6.5-42_armhf.deb”至操作系統。
- sudo dpkg -i cuda-repo-l4t-r21.3-6-5-prod_6.5-42_armhf.deb
- sudo apt-get update
- sudo apt-get install cuda-toolkit-6-5
具體請參考以下鏈接:https://developer.nvidia.com/embedded/linux-tegra
（想跑CUDA例程的可參考http://blog.csdn.net/FRD2009041510/article/details/42042807）
二、安裝OpenCV
（這一步主要參照兩個網站
1.http://blog.csdn.net/FRD2009041510/article/details/42930113
//圖文教程挺詳細的
2.http://elinux.org/Jetson/Installing_OpenCV）
1.安裝 OpenCV4tegra
訪問以下鏈接以下載安裝包“ libopencv4tegra-repo_l4t-r21_2.4.10.1_armhf.
deb ”
http://developer.download.nvidia ... bopencv4tegra-repo_
l4t-r21_2.4.10.1_armhf.deb //最新的庫版本是2.4.12了
執行以下命令進行安裝
- sudo dpkg -i libopencv4tegra-repo_l4t-r21_2.4.10.1_armhf.deb
- sudo apt-get update
- sudo apt-get install libopencv4tegra libopencv4tegra-dev
2.安裝函數庫
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- sudo add-apt-repository universe
- sudo apt-get update
- # Some general development libraries
- sudo apt-get install build-essential make cmake cmake-curses-gui g++
- # libav video input/output development libraries
- sudo apt-get install libavformat-dev libavutil-dev libswscale-dev
- # Video4Linux camera development libraries
- sudo apt-get install libv4l-dev
- # Eigen3 math development libraries
- sudo apt-get install libeigen3-dev
- # OpenGL development libraries (to allow creating graphical windows)
- sudo apt-get install libglew1.6-dev
- # GTK development libraries (to allow creating graphical windows)
- sudo apt-get install libgtk2.0-dev
3.安裝opencv源碼
①.下載源碼（推薦2.4.9）
http://downloads.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.9/opencv-2.4.9.zip
②.解壓
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- cd Downloads
- unzip opencv-2.4.9.zip
- mv opencv-2.4.9 ~
③.Make
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- cd ~/opencv-2.4.9
- mkdir build
- cd build
- cmake -DWITH_CUDA=ON -DCUDA_ARCH_BIN="3.2" -DCUDA_ARCH_PTX="" -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF ..
- sudo make -j4 install
④.配置環境變量
echo "# Use OpenCV and other custom-built libraries." >> ~/.bashrcecho "export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/" >> ~/.bashrc
source ~/.bashrc
⑤.測試
第一個例子：邊緣提取
# 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-2.4.9/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第二個例子：攝像頭圖像的拉普拉斯變換
# 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第三個例子：CPU和GPU進行圖像的霍夫變換
# 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的安裝與配置
1.安裝，使用apt-get，編譯opensource的方法沒有通過//不過！！！貌似只安裝qtcreater就行了，商店裏有
sudo apt-get install qt4-dev-tools #開發包 sudo apt-get install qtcreator #IDE sudo apt-get install qt4-doc #開發幫助文檔 sudo apt-get install qt4-qtconfig #配置工具 sudo apt-get install qt4-demos #DEMO源碼 QT2.配置(這一步的截圖見csdn:http://blog.csdn.net/u012348655/article/details/50564223)
①.打開qt->Tools->Options->Build&Run
②.配置Qt Versions以及Compilers
在termial中輸入which qmake以及which gcc把相應的地址添加進去
3.測試
新建一個控制檯工程
在main.c中加入
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- #include <QCoreApplication>
- #include <cstdio>
- #include <iostream>
- #include <opencv2/core/core.hpp>
- #include <opencv2/highgui/highgui.hpp>
- #include <opencv2/imgproc/imgproc.hpp>
- using namespace cv;
- using namespace std;
- int main(int argc, char *argv[])
- {
- // QCoreApplication a(argc, argv);
- namedWindow( "src", WINDOW_AUTOSIZE );
- printf("hello lena\n");
- Mat src1 = imread( "lena.jpg" );
- while(1)
- {
- imshow( "src", src1 );
- char c = waitKey(30);
- if( 27==c )
- return 0;
- }
- // return a.exec();
- }
在.pro文件中加入
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- SOURCES += main.cpp
- INCLUDEPATH += /usr/local/include \
- /usr/local/include/opencv \
- /usr/local/include/opencv2
- LIBS += /usr/local/lib/libopencv_highgui.so \
- /usr/local/lib/libopencv_core.so \
- /usr/local/lib/libopencv_imgproc.so
在生成的調試文件夾中放入lena.jpg
然後運行