在我的主 CMakeLists.txt 中编译 OpenCV 并将其链接到我的项目

我是 cmake 的新手。我有一个使用 dlib 和 opencv 的项目。它们被定义为位于third_party文件夹中的子模块。我想将它们链接到我的主项目，即带有 cmake 的“节点”，但我无法实现。我正在分享我的项目树。我使用 find_package(OpenCV) 和 target_link_libraries(recognition-node ${OPENCV_LIBS}) 方式进行操作，但我需要从源代码进行编译而不安装任何东西。最后，我只想写 'cmake 。 ＆＆ 制作'

.
├── CMakeLists.txt
├── node
│   ├── build.sh
│   ├── CMakeLists.txt
│   ├── configure.sh
│   ├── findfacestask.cpp
│   ├── findfacestask.h
│   ├── main.cpp
│   ├── matrixwrapper.h
│   ├── poolcontext.cpp
│   ├── poolcontext.h
│   ├── recognition.dat
│   ├── recognizefacetask.cpp
│   ├── recognizefacetask.h
│   ├── runscript
│   ├── sp.dat
│   ├── task.cpp
│   ├── task.h
│   ├── unhandledexception.cpp
│   ├── unhandledexception.h
│   ├── webcamfeed.cpp
│   ├── webcamfeed.h
│   ├── wrapper.cpp
│   └── wrapper.h
└── third_party
    ├── dlib
    │   ├── appveyor.yml
    │   ├── CMakeLists.txt
    │   ├── dlib
    │   ├── docs
    │   ├── examples
    │   ├── MANIFEST.in
    │   ├── python_examples
    │   ├── README.md
    │   ├── setup.py
    │   └── tools
    └── opencv
        ├── 3rdparty
        ├── apps
        ├── cmake
        ├── CMakeLists.txt
        ├── CONTRIBUTING.md
        ├── data
        ├── doc
        ├── include
        ├── LICENSE
        ├── modules
        ├── platforms
        ├── README.md
        └── samples

我的顶级 CMakeLists.txt 的内容

cmake_minimum_required(VERSION 2.8.12)

set (CMAKE_CXX_STANDARD 11)

add_subdirectory(node)
add_subdirectory(third_party/dlib)
add_subdirectory(third_party/opencv)

节点/CMakeLists.txt的内容

cmake_minimum_required(VERSION 2.8.12)
project(recognition-node)

set(CMAKE_AUTOMOC ON)

find_package(Qt5Widgets REQUIRED)

add_executable(recognition-node main.cpp  
            webcamfeed.cpp 
            poolcontext.cpp 
            unhandledexception.cpp
            task.cpp
            findfacestask.cpp
            wrapper.cpp
            recognizefacetask.cpp)

target_link_libraries(recognition-node Qt5::Widgets)
target_link_libraries(recognition-node dlib::dlib)
target_link_libraries(recognition-node opencv::core)

它在“make”阶段给出错误：

/home/arnes/workspace/recognition-node/node/poolcontext.h:10:28: fatal error: 
opencv2/core.hpp: No such file or directory

既然你坚持将 opencv 保留在你的项目树中

这是更简单的方法，但我只想以这种方式进行。

这是肯定可以与您在问题中发布的项目树配合使用的解决方案opencv-3.4.1 https://github.com/opencv/opencv/tree/3.4.1。为了简单起见，我将忽略dlib图书馆和Qt依赖性，因为你对此没有任何问题。

Root CMakeLists.txt应有以下内容：

cmake_minimum_required(VERSION 2.8.11) # or anything higher, if you wish
project(recognition-node CXX)

add_subdirectory(node)

The CMakeLists.txt在下面node目录应包含以下内容：

add_subdirectory(third_party)

set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -g") # or any other additional flags

# at this point you can add find_package(Qt5Widgets REQUIRED) and later link your binary against Qt5::widgets as well
add_executable(myExec main.cpp
# and put here all the other source files of your project ...
)
# for linking libs I have put additionally highgui and imgproc to check the solution against OpenCV official sample
target_link_libraries(myExec opencv_core opencv_highgui opencv_imgproc)

target_include_directories(myExec PUBLIC 
    third_party/opencv/modules/calib3d/include
    third_party/opencv/modules/core/include
    third_party/opencv/modules/cudaarithm/include
    third_party/opencv/modules/cudabgsegm/include
    third_party/opencv/modules/cudacodec/include
    third_party/opencv/modules/cudafeatures2d/include
    third_party/opencv/modules/cudafilters/include
    third_party/opencv/modules/cudaimgproc/include
    third_party/opencv/modules/cudalegacy/include
    third_party/opencv/modules/cudaobjdetect/include
    third_party/opencv/modules/cudaoptflow/include
    third_party/opencv/modules/cudastereo/include
    third_party/opencv/modules/cudawarping/include
    third_party/opencv/modules/cudev/include
    third_party/opencv/modules/dnn/include
    third_party/opencv/modules/features2d/include
    third_party/opencv/modules/flann/include
    third_party/opencv/modules/highgui/include
    third_party/opencv/modules/imgcodecs/include
    third_party/opencv/modules/imgproc/include
    third_party/opencv/modules/ml/include
    third_party/opencv/modules/objdetect/include
    third_party/opencv/modules/photo/include
    third_party/opencv/modules/shape/include
    third_party/opencv/modules/stitching/include
    third_party/opencv/modules/superres/include
    third_party/opencv/modules/ts/include
    third_party/opencv/modules/video/include
    third_party/opencv/modules/videoio/include
    third_party/opencv/modules/videostab/include
    third_party/opencv/modules/viz/include
    third_party/opencv/modules/world/include
)

The CMakeLists.txt under third_party应仅包含：

add_subdirectory(opencv)
# add_subdirectory(dlib) # if you will use dlib, of course also add dlib

我用来验证构建的示例是轮廓2.cpp https://docs.opencv.org/3.4.1/d0/d2a/contours2_8cpp-example.html（只需将内容复制粘贴到main.cpp).

然而，我仍然认为使用这个解决方案是一个糟糕的主意。

• OpenCv 确实需要很多时间来编译
• 你必须手动添加包含目录（你可以使用一些宏生成器，但通常它看起来更难看）
• 在你的构建系统中，你有很多你并不真正需要的目标（超过 300 个），包括install target

所以，我的建议是：如果你愿意，可以将此解决方案用于科学目的，但当你真正需要使用它时，只需在系统上（或在本地，如果你不是管理员）编译和安装 OpenCv 即可。