0、安装前准备:
(1)安装编译工具
sudo apt-get install build-essential -y
(2)安装依赖包
sudo apt-get install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev -y
sudo apt-get -y remove ffmpeg x264 libx264-dev
sudo apt-get -y install libopencv-dev
sudo apt-get -y install build-essential checkinstall cmake pkg-config yasm
sudo apt-get -y install libtiff4-dev libjpeg-dev libjasper-dev
sudo apt-get -y install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev
sudo apt-get -y install python-dev python-numpy
sudo apt-get -y install libtbb-dev
sdo apt-get -y install libqt4-dev libgtk2.0-dev
sudo apt-get -y install libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev
sudo apt-get -y install x264 v4l-utils ffmpeg
sudo apt-get -y install libgtk2.0-dev
(3)安装可选包
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev -y
sudo apt-get install libgtk2.0-dev -y
sudo apt-get install pkg-config -y
(4)安装cmake
sudo apt install cmake
1、从GitHub下载opencv3.2.0并解压
wget https://github.com/Itseez/opencv/archive/3.2.0.zip
unzip 3.2.0.zip
2、进入OpenCV的目录下,编译安装OpenCV 3.2.0 源码。
- cd opencv-3.2.0/
- mkdir build
- cd build
- cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/home/hlx -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D WITH_OPENMP=ON ..
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/home/hlx -D WITH_TBB=ON -D BUILD_SHARED_LIBS=OFF -D WITH_OPENMP=ON -D ENABLE_PRECOMPILED_HEADERS=OFF ..
这里安装了anaconda会导致出错Makefile:160: recipe for target 'all' failed。以上两个第一个没测试成功,注释掉anaconda的环境变量没成功,测试第二个才成功。
- make -j20
#-j8是8条线程make 速度快。可以参考 http://blog.csdn.net/jasonzzj/article/details/53337653
- sudo make install
3、配置OpenCV环境变量,将opencv的库加入到路径,从而让系统可以找到。
sudo /bin/bash -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
sudo ldconfig
4、使配置生效
sudo gedit /etc/bash.bashrc
末尾加入
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig export PKG_CONFIG_PATH
保存退出
source /etc/bash.bashrc
5、测试实例
//文件名test_lena.cpp
#include <stdio.h>
#include <opencv2/opencv.hpp>
using namespace cv;
int main( )
{
Mat image;
//按照自己的目录
image = imread("/home/ross/opencv-3.2.0/samples/data/lena.jpg", 1 );
if ( !image.data )
{
printf("No image data \n");
return -1;
}
namedWindow("Display Image", WINDOW_AUTOSIZE );
imshow("Display Image", image);
waitKey(0);
return 0;
}
(1)编译
g++ test_lena.cpp -o lena.o `pkg-config --cflags --libs opencv`
(2)运行
./lena.o
(3)效果如图
reference:
https://blog.csdn.net/excellent_sun/article/details/84136474