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标题: 【交流帖】妙算上cuda、opencv以及qt的配置 [打印本页]

作者: kaka 时间: 2016-1-22 22:54
标题: 【交流帖】妙算上cuda、opencv以及qt的配置

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 ... uda-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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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 ... bopencv4tegra-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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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.安装函数库

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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.安装opencv源码

①.下载源码（推荐2.4.10）2.4.9装到75%就会出错

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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cd ~/opencv-2.4.10
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.配置环境变量

echo "# Use OpenCV and other custom-built libraries." >> ~/.bashrcecho "export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib/" >> ~/.bashrc
source ~/.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-2.4.9/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 QT2.配置(这一步的截图见csdn:http://blog.csdn.net/u012348655/article/details/50564223)

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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