动态库

1.依赖环境

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

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

sudo make -j8
sudo make install

1. 打开ld.so.conf文件

sudo gedit /etc/ld.so.conf

最文件后新加一行：

include /usr/local/lib
2. 运行

sudo ldconfig

3. 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

然后运行：

source /etc/bash.bashrc

验证安装
运行以下command查看安装版本，至此安装完成。

pkg-config opencv --modversion

• pkg-config opencv —modversion

  cd /usr/local/lib
  sudo mkdir pkgconfig
  cd pkgconfig
  sudo touch opencv.pc
  

  opencv.pc

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

Name: opencv Description: The opencv library Version:4.0.1 Cflags: -I${includedir}/opencv4 Libs: -L${libdir} -lopencv_shape -lopencv_stitching -lopencv_objdetect -lopencv_superres -lopencv_videostab -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_imgcodecs -lopencv_video -lopencv_photo -lopencv_ml -lopencv_imgproc -lopencv_flann -lopencv_core

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## cmake file

cmake_minimum_required(VERSION 3.0) # 设置cmake版本 project(hair_color) # 设置工程名字

ubuntu opencv build

find_package( OpenCV REQUIRED )

message(STATUS “OpenCV library status:”)

message(STATUS “ version: ${OpenCV_VERSION}”)

message(STATUS “ libraries: ${OpenCV_LIBS}”)

message(STATUS “ include path: ${OpenCV_INCLUDE_DIRS}”)

message(STATUS “ LD_LIBRARY_PATH path: ${LD_LIBRARY_PATH}”)

# Add OpenCV headers location to your include paths

include_directories(${OpenCV_INCLUDE_DIRS})

add_executable(${PROJECT_NAME} main.cpp ) #生成可执行文件

target_link_libraries(${PROJECT_NAME} ${OpenCV_LIBS} )

target_link_libraries(${PROJECT_NAME} ${OpenCV_LIBS} )

target_link_libraries( ${PROJECT_NAME} )

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# 
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# 静态库
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## 参考
[https://blog.csdn.net/a731062834/article/details/115232225](https://blog.csdn.net/a731062834/article/details/115232225)<br />[https://www.jianshu.com/p/ee7273af2914](https://www.jianshu.com/p/ee7273af2914)<br />将 OpenCV 编译成静态库 cmake .. -DBUILD_SHARED_LIBS=NO<br />以OpenCV-4.0.0为例说明在Ubuntu环境下的静态库编译与链接方法：
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### 1、编译配置
opencv依赖第三方的库，所以当把opencv编译成静态库的时候，注意要把它运行时必要的依赖库也编译进来，opencv源码内有自己的3rdparty，主要有：libjpeg、libpng、libtiff、libzlib、libwebp、libprotobuf、ffmpeg（用到video时编译）、libgtk（用于显示界面显示，服务器部署不会用到），可以通过cmake -LA来查看配置的编译信息，再根据信息考虑把opencv的哪些module编译进来。

cmake -DEXECUTABLE_OUTPUT_PATH:PATH=$(pwd) \ -DCMAKE_BUILD_TYPE=RELEASE \ -DCMAKE_INSTALL_PREFIX=/usr/local \ -DBUILD_JASPER=ON \ -DBUILD_JAVA=OFF \ -DBUILD_JPEG=ON \ #编译opencv 3rdparty自带的libjpeg -DBUILD_PERF_TESTS=OFF \ -DBUILD_PNG=ON \ #编译opencv 3rdparty自带的libpng -DBUILD_PROTOBUF=ON \ #编译opencv 3rdparty自带的libprotobuf -DBUILD_SHARED_LIBS=NO \ #编译成静态库 -DBUILD_TESTS=OFF \ -DBUILD_TIFF=ON \ #编译opencv 3rdparty自带的libtiff -DBUILD_ZLIB=ON \ #编译opencv 3rdparty自带的libzlib -DBUILD_WEBP=ON \ #编译opencv 3rdparty自带的libwebp -DBUILD_opencv_apps=OFF \ -DBUILD_opencv_core=ON \ -DBUILD_opencv_calib3d=ON \ -DBUILD_opencv_dnn=ON \ -DBUILD_opencv_features2d=ON \ -DBUILD_opencv_flann=ON \ -DBUILD_opencv_gapi=OFF \ -DBUILD_opencv_highgui=ON \ -DBUILD_opencv_imgcodecs=ON \ -DBUILD_opencv_imgproc=ON \ -DBUILD_opencv_java_bindings_generator=OFF \ -DBUILD_opencv_js=OFF \ -DBUILD_opencv_ml=ON \ -DBUILD_opencv_objdetect=OFF \ -DBUILD_opencv_photo=OFF \ -DBUILD_opencv_python2=OFF \ -DBUILD_opencv_python3=OFF \ -DBUILD_opencv_python_bindings_generator=OFF \ -DBUILD_opencv_stitching=OFF \ -DBUILD_opencv_ts=OFF \ -DBUILD_opencv_video=OFF \ -DBUILD_opencv_videoio=OFF \ -DWITH_GTK=OFF \ -DWITH_GTK_2_X=OFF \ -DWITH_LAPACK=OFF \

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### 2、链接
链接时指定opencv的静态库以及依赖的库。另外需要注意头文件的问题，通过CMakeLists把opencv加入项目编译时，由于opencv编译完成后要install才会把所用的头文件集中拷贝到一个地方，所以事先将头文件拷贝到了项目的opencv目录下。

set(opencv_libs #项目用到的库 opencv_core opencv_dnn opencv_imgproc opencv_imgcodecs opencv_ml opencv_calib3d opencv_highgui zlib libjasper libjpeg-turbo libpng libtiff IlmImf libprotobuf libwebp)

编译opencv

add_subdirectory(${CMAKE_SOURCE_DIR}/3rdparty/opencv-4.0.0)

增加头文件路径

include_directories(${CMAKE_SOURCE_DIR}/3rdparty/opencv-4.0.0/include)

链接opencv静态库

target_link_libraries(demo ${opencv_libs} -lrt -lpthread)

CMAKE_MINIMUM_REQUIRED(VERSION 3.1) SET(PROJECT_NAME opencv_test) #opencv_test 是你项目名字，可以自己修改

PROJECT(${PROJECT_NAME}) set(OpenCV_DIR ~/work/opencv-4.5.0_build_static/build) #你之前源码包里的build文件夹，防止版本冲突 find_package(OpenCV 4 REQUIRED) #寻找这个包 opencv 包名 4 最低版本号 REQUIRED 如果没找到就报错

aux_source_directory(src DIR_SRCS) # src 是你存放源码的文件夹，如果在本目录aux_source_directory(. DIR_SRCS) add_executable(${PROJECT_NAME} ${DIR_SRCS}) target_link_libraries(${PROJECT_NAME} ${OpenCV_LIBS})

原文链接：https://blog.csdn.net/qq_38032876/article/details/108869259

完整代码

cmake_minimum_required(VERSION 3.0) # 设置cmake版本 project(hair_color) # 设置工程名字

ubuntu opencv build

message(STATUS “ version: ${OpenCV_VERSION}”) message(STATUS “ libraries: ${OpenCV_LIBS}”) message(STATUS “ include path: ${OpenCV_INCLUDE_DIRS}”) message(STATUS “ LD_LIBRARY_PATH path: ${LD_LIBRARY_PATH}”)

# Add OpenCV headers location to your include paths

include_directories(${MNN_ROOT}) set(OpenCV_DIR /media/wwf/data/ubuntuSoft/opencv-4.3.0/static_release ) #你之前源码包里的build文件夹，防止版本冲突 find_package(OpenCV 4 REQUIRED) #寻找这个包 opencv 包名 4 最低版本号 REQUIRED 如果没找到就报错 set(opencv_libs #项目用到的库 opencv_core opencv_dnn opencv_imgproc opencv_imgcodecs opencv_ml opencv_calib3d opencv_highgui zlib libjasper libjpeg-turbo libpng libtiff IlmImf libprotobuf libwebp)

#编译opencv

add_subdirectory(${CMAKE_SOURCE_DIR}/3rdparty/opencv-4.0.0)

#增加头文件路径

include_directories(${CMAKE_SOURCE_DIR}/3rdparty/opencv-4.0.0/include)

#链接opencv静态库

target_link_libraries(demo ${opencv_libs} -lrt -lpthread)

add_executable(${PROJECT_NAME} main.cpp ) #生成可执行文件

target_link_libraries(${PROJECT_NAME} ${opencv_libs} -lrt -lpthread )

```