%PROJECT_TYPE% SET release_prefix=paho_mqtt_%PROJECT_TYPE% SET cmake_prefix_path= IF "%PROJECT_TYPE%..." == "cpp" ( SET cmake_prefix_path=-DCMAKE_PREFIX_PATH=%sh_folder%\release\paho_mqtt_c%rel_suffix...BUILD_SAMPLES% ^ %_build_test% ^ -DCMAKE_DEBUG_POSTFIX=_d ^ -DWITH_STATIC_CRT=%with_static_crt% ^ %cmake_prefix_path...release_prefix=paho_mqtt_$PROJECT_TYPE machine=$(g++ -dumpmachine) [ -n "$MACHINE" ] && machine=$MACHINE cmake_prefix_path...= [ "$PROJECT_TYPE" = "cpp" ] && cmake_prefix_path=-DCMAKE_PREFIX_PATH=$sh_folder/release/paho_mqtt_c
--config RelWithDebInfo --target install libtiff可以以CMAKE_PREFIX_PATH作为依赖库，在设置了CMAKE_PREFIX_PATH变量之后，就会优化在这个目录中寻找
=================================== #check Qt's path if(NOT EXISTS "${QT_DIR}") #try to use env set(CMAKE_PREFIX_PATH..."$ENV{QTDIR}") message(STATUS "using QT_DIR from env: ${CMAKE_PREFIX_PATH}") else() set(CMAKE_PREFIX_PATH..."${QT_DIR}") endif() if(NOT EXISTS "${CMAKE_PREFIX_PATH}") message(FATAL_ERROR "Qt's directory is invalid...${CMAKE_PREFIX_PATH}") endif() #check Qt version set(QT_VERSION_PREFIX Qt5) find_package(Qt6 COMPONENTS
QT配置，如下： set(CMAKE_PREFIX_PATH ${CMAKE_PREFIX_PATH} "/home/relaybot/Qt5/5.6/gcc_64/lib/cmake/Qt5Widgets
if (NOT WS) set(WS "X11") set(WS_DEFINE "${WS}") endif () if (NOT DEFINED CMAKE_PREFIX_PATH...) set(CMAKE_PREFIX_PATH $ENV{CMAKE_PREFIX_PATH}) endif () add_definitions(-D${WS_DEFINE
于是想用cmake 添加gtest set(CMAKE_PREFIX_PATH "/path/to/gtest/install/path/cmake/path" ${CMAKE_PREFIX_PATH
--config RelWithDebInfo --target install 其中，设置CMAKE_PREFIX_PATH能够保证能够正确找到安装在这么目录下的zlib，而BUILD_DOC、BUILD_EXAMPLES
CXX compile features - done -- Using CATKIN_DEVEL_PREFIX: /home/shiyanlou/Code/demo/devel -- Using CMAKE_PREFIX_PATH...fake_localizationConfig.cmake fake_localization-config.cmake Add the installation prefix of "fake_localization" to CMAKE_PREFIX_PATH...fake_localizationConfig.cmake fake_localization-config.cmake Add the installation prefix of "fake_localization" to CMAKE_PREFIX_PATH...shiyanlou/Code/demo/build" #### -- Using CATKIN_DEVEL_PREFIX: /home/shiyanlou/Code/demo/devel -- Using CMAKE_PREFIX_PATH
--config RelWithDebInfo --target install 应该来说，这几个指令前文都介绍过，没有什么特别的，最关键的还是在于配置CMAKE_PREFIX_PATH，这个目录需要放置体检安装好的
如果是直接使用的vcpkg，那么需要将vcpkg集成到CMake搜索路径中： vcpkg integrate install 如果是像笔者一样，是将iconv复制到自己仓库中使用，那么需要在CMake的内置变量CMAKE_PREFIX_PATH...中增加自己的仓库路径（比如修改CMakePresets.json文件中CMAKE_PREFIX_PATH的配置）。
LD_LIBRARY_PATH:/usr/local/opencv3/lib 5 CmakeLists.txt设置 opencv3.1.0 需要手动设置 寻找到opencv-config.cmake set(CMAKE_PREFIX_PATH
/A_export) # 告诉 CMake 去哪里找 A set(CMAKE_PREFIX_PATH "${A_INSTALL_DIR}") find_package(${A_PROJECT_NAME...开发和测试 A 在测试通过后，用 cmake --install 导出 A_export/ 将 A_export/ 提供给 B（打包 zip 或共享） 开发者 B 不需要 A 源码 只要设置 CMAKE_PREFIX_PATH
CMAKE_CXX_STANDARD 11) SET(CMAKE_CXX_STANDARD_REQUIRED ON) SET(CMAKE_INCLUDE_CURRENT_DIR ON) # 【QT】CMAKE_PREFIX_PATH...实际值为本地安装的QT中的对应编译环境的目录 SET(CMAKE_PREFIX_PATH "D:\\Programs\\Qt\\Qt5.14.2\\5.14.2\\msvc2017_64") # 配置了上述后...+ADD_COMPILE_DEFINITIONS($:_ITERATOR_DEBUG_LEVEL=0>) # 【QT】CMAKE_PREFIX_PATH 实际值为本地安装的...QT中的对应编译环境的目录 SET(CMAKE_PREFIX_PATH "D:\\Programs\\Qt\\Qt5.14.2\\5.14.2\\msvc2017_64") 不出意外，此时我们已经处理了所有的编译和链接过程中的问题
following names: GlogConfig.cmake glog-config.cmake Add the installation prefix of "Glog" to CMAKE_PREFIX_PATH
recursive https://github.com/pytorch/pytorch cd pytorch make clean # make clean is needed in my case export CMAKE_PREFIX_PATH
GOTO :loop :pare_end :: cJSON源码文件夹名(与当前脚本在同一级文件夹) SET src_folder=cJSON SET release_prefix=cJSON SET cmake_prefix_path...CMAKE %sh_folder%\%src_folder% -G "Visual Studio 14 2015 Win64" -DCMAKE_INSTALL_PREFIX=%OUTDIR% ^ %cmake_prefix_path
CMAKE_PREFIX_PATH是一个非常关键的CMake变量，用于指定CMake查找依赖项、库、包等的优先搜索路径。
ranlib)# CMAKE_STAGING_PREFIX 变量用于指定安装到主机的路经set(CMAKE_STAGING_PREFIX ${LIBRARY_DIR}/${COMPILER_PREFIX})# CMAKE_PREFIX_PATH...变量用于指定要编译的文件所在的安装位置set(CMAKE_PREFIX_PATH ${CMAKE_STAGING_PREFIX})include_directories(SYSTEM ${CMAKE_STAGING_PREFIX...交叉编译宏变量，指定 c 的编译工具；CMAKE_CXX_COMPILER ，交叉编译宏变量，指定 c++ 的编译工具 ；CMAKE_STAGING_PREFIX ，交叉编译变量，指定安装到主机上的路径 ；CMAKE_PREFIX_PATH
Cudnn 6 及以上 如果不想编译 cuda 版本的话：命令行执行 export NO_CUDA=1 1. export CMAKE_PREFIX_PATH="$(dirname $(which conda
BUILD_SHARED_LIBS=OFF 生成curl静态库,如果生成动态库,可以不加此选项 # CURL_USE_OPENSSL=ON 指定使用OPENSSL,如果不需要支持HTTPS,可以不加此选项 # CMAKE_PREFIX_PATH
云服务器
ICP备案
即时通信 IM
云直播
对象存储
