在树莓派Ubuntu Mate中安装OpenCV

在树莓派Ubuntu Mate中配置opencv与在ubuntu 14.04中配置opencv的过程没有什么大的差别，如果看过在ubuntu中配置opencv的话可以不用再看这篇了，这篇博文只是作为学习笔记。

1. Install OpenCV in Ubuntu:

(1) Update the list of package repositories:

sudo apt-get update
sudo apt-get upgrade

(2) Remove previously installed FFMPEG and x264 libraries:

sudo apt-get remove ffmpeg x264-dev

(3) Install the necessary packages for compiling the OpenCV sources:

sudo apt-get install ocl-icd-libopencl1 build-essential checkinstall cmake pkg-config yasm libjpeg-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine2-dev libgstreamer0.10-dev  libgstreamer-plugins-base0.10-dev libv4l-dev python-dev python-numpy libtbb-dev libqt4-dev libgtk2.0-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils

(4) Make a directory to download and build OpenCV:

mkdir opencv
cd opencv

(5) Download the OpenCV sources for Linux, then unzip it:

wget -O opencv-2.4.10.zip http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.10/opencv-2.4.10.zip/download unzip opencv-2.4.10.zip
cd opencv-2.4.10

(6) Create a directory to compile the OpenCV sources:

mkdir build
cd build

(7) Building OpenCV sources with CMake and install:

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON ..

(8) Make and install:

make
sudo make install
sudo sh -c 'echo "/usr/local/lib">/etc/ld.so.conf.d/opencv.conf'
sudo ldconfig

(9) Restart the system for everything to take effect:

sudo shutdown -r now

2. Test OpenCV in Ubuntu:

(1) Create a directory DisplayImage for test project:

mkdir DisplayImage
cd DisplayImage

(2) Create DisplayImage.cpp and edit it:

gedit DisplayImage.cpp

Then edit the DisplayImage.cpp:

#include <stdio.h>
#include <opencv2/opencv.hpp>
using namespace cv;

int main(int argc, char** argv)
{
if(argc!= 2)
{
printf("usage:DisplayImage.out <Image_Path>\n");
return -1;
}

Mat image;
image = imread(argv[1], 1);

if(!image.data)
{
printf("Noimage data\n");
return -1;
}

namedWindow("DisplayImage",CV_WINDOW_AUTOSIZE);
imshow("DisplayImage", image);

waitKey(0);
return 0;
}

(3) Create a CMake file:

gedit CMakeLists.txt

Then edit the CMakeLists.txt:

cmake_minimum_required(VERSION 2.8)
project(DisplayImage)
find_package(OpenCV REQUIRED)
add_executable(DisplayImage DisplayImage.cpp)
target_link_libraries(DisplayImage ${OpenCV_LIBS})

(4) Generate the executable file:

cmake .
make

(5) Execute it:

./DisplayImage lena.jpg

lena.jpg is the test image

本文根据www.Micro_Studios.com的视频教程整理。特此感谢！