C++ opencv lib 安装

Posted on | In , |

1、 Windows OpenCV c++

1、下载

下载OpenCV已经编译好的MinGW版本：https://github.com/huihut/OpenCV-MinGW-Build

2、配置

1
2
3
4
5
6
7
8
9
cmake_minimum_required(VERSION 3.15)
project(opencv_demo)

set(CMAKE_CXX_STANDARD 14)

add_executable(opencv_demo main.cpp)
set(OpenCV_DIR D:/opencv/OpenCV-MinGW-Build-OpenCV-4.0.0-rc-x64)
FIND_PACKAGE(OpenCV REQUIRED)
TARGET_LINK_LIBRARIES(opencv_demo ${OpenCV_LIBS})

3、使用

ref:

https://zhuanlan.zhihu.com/p/488576922

2、Ubuntu OpenCV c++

https://blog.csdn.net/qq_41962968/article/details/122848097

1、安装准备

安装最低要求（Ubuntu 18.04 作为参考）

1
2
3
4
5
6
sudo apt update && sudo apt install -y cmake g++ wget unzip

#安装依赖
sudo apt-get install build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg-dev libswscale-dev libtiff5-dev
sudo apt-get install libgtk2.0-dev
sudo apt-get install pkg-config

2、下载opencv

1
2
3
4
5
6
7
mkdir OpencvRoute && cd OpencvRoute 
wget -O opencv.zip https://github.com/opencv/opencv/archive/4.x.zip
unzip opencv.zip
mv opencv-4.x opencv
cd opencv 
makdir build
cd build

3、cmake

1
sudo cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..

4、编译

1
sudo make -j8

可以使用sudo make -j 8 、sudo make -j4 、sudo make
我这里就使用sudo make -j 8了
5、安装

1
sudo make install

6、配置环境

1
2
3
4
5
6
7
8
9
10
11
12
13
14
用gedit或者vim打开/etc/ld.so.conf
在文件中加上一行 /usr/loacal/lib
其中/user/loacal是opencv安装路径也就是makefile中指定的安装路

sudo gedit /etc/ld.so.conf


运行sudo ldconfig,
修改bash.bashrc文件

sudo gedit /etc/bash.bashrc 
 在文件末尾加入：
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH

然后在命令行中输入

1
source /etc/bash.bashrc

在命令行中输入如下命令：

1
pkg-config opencv --modversion

至此opencv的安装就完成了

如果出现 找不到opencv.pc的问题

手动创建opencv.pc：

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
cd /usr/local/lib
sudo mkdir pkgconfig && cd pkgconfig
sudo gedit opencv.pc
然后添加：

prefix=/usr/local
exec_prefix=${prefix}
includedir=/usr/local/include
libdir=/usr/local/lib

Name: OpenCV
Description: Open Source Computer Vision Library
Version: 4.4.0
Libs: -L${exec_prefix}/lib -lopencv_stitching -lopencv_superres -lopencv_videostab -lopencv_aruco -lopencv_bgsegm -lopencv_bioinspired -lopencv_ccalib -lopencv_dnn_objdetect -lopencv_dpm -lopencv_face -lopencv_photo -lopencv_freetype -lopencv_fuzzy -lopencv_hdf -lopencv_hfs -lopencv_img_hash -lopencv_line_descriptor -lopencv_optflow -lopencv_reg -lopencv_rgbd -lopencv_saliency -lopencv_stereo -lopencv_structured_light -lopencv_phase_unwrapping -lopencv_surface_matching -lopencv_tracking -lopencv_datasets -lopencv_text -lopencv_dnn -lopencv_plot -lopencv_xfeatures2d -lopencv_shape -lopencv_video -lopencv_ml -lopencv_ximgproc -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_flann -lopencv_xobjdetect -lopencv_imgcodecs -lopencv_objdetect -lopencv_xphoto -lopencv_imgproc -lopencv_core
Libs.private: -ldl -lm -lpthread -lrt
Cflags: -I${includedir}

7、测试Demo

写个程序测试下：
首先建立一个文件夹OpenCV_Code，下面新建一个cpp文件，名为test.cpp

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
#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("No image data \n");
   return -1;
 }
 namedWindow("Display Image", WINDOW_AUTOSIZE );
 imshow("Display Image", image);
 waitKey(0);
 return 0;
}

再此文件夹下继续新建一个文件，名为 CMakeLists.txt：

1
2
3
4
5
cmake_minimum_required(VERSION 2.8)
project( test )
find_package( OpenCV REQUIRED )
add_executable( test test.cpp )
target_link_libraries( test ${OpenCV_LIBS} )
1
2
$ cmake ..
$ make

此时OpenCV_Code文件夹中已经产生了可执行文件test，下载Lina.jpg放在OpenCV_Code下，运行

./test Lina.jpg

库API

<opencv2/highgui/highgui.hpp>

<opencv2/imgproc/imgproc.hpp>

<opencv2/calib3d/calib3d.hpp>