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110 lines
3.3 KiB
110 lines
3.3 KiB
# 获取编译时间
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string(TIMESTAMP COMPILE_TIME 20%y_%m_%d-%H.%M.%S)
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set(build_time ${COMPILE_TIME})
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# 获取当前版本信息
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configure_file(${CMAKE_CURRENT_SOURCE_DIR}/src/Version.h.in ${CMAKE_CURRENT_SOURCE_DIR}/src/Version.h)
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add_definitions(-D_SILENCE_EXPERIMENTAL_FILESYSTEM_DEPRECATION_WARNING)
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SET(ENABLE_CUDA FALSE)
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IF(ENABLE_CUDA)
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add_definitions(-DENABLE_CUDA)
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# 开启cmake的cuda支持
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enable_language(CUDA)
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set(CUDA_ARCHITECTURES "50;52;60;70;75;80")
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set(CMAKE_CUDA_ARCHITECTURES 50 52 60 70 75 80)
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# 注意配置cuda的运行时库设置
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if(WIN32)
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if(CMAKE_BUILD_TYPE MATCHES "Debug")
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set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -Xcompiler=/MDd")
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elseif(CMAKE_BUILD_TYPE MATCHES "RelWithDebInfo")
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set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -Xcompiler=/MD")
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elseif(CMAKE_BUILD_TYPE MATCHES "Release")
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set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -Xcompiler=/MD")
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else()
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set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -Xcompiler=/MD")
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endif()
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endif(WIN32)
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ENDIF(ENABLE_CUDA)
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message("CMAKE_BUILD_TYPE: " ${CMAKE_BUILD_TYPE})
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# 检查 CMAKE_BUILD_TYPE 是否为空
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if(NOT CMAKE_BUILD_TYPE)
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message(FATAL_ERROR "CMAKE_BUILD_TYPE is not set. Please specify a build type (e.g., Debug, Release).")
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endif()
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if(MSVC)
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add_definitions(-D_CRT_SECURE_NO_WARNINGS)
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add_compile_options(/wd4996)
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endif()
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# 配置ceres
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#set(Ceres_DIR "../3rdParty/my_ceres_vc17/lib/cmake/Ceres")
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IF(WIN32)
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set(Ceres_DIR "../3rdParty")
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include_directories(${Ceres_DIR}/include)
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link_directories(${Ceres_DIR}/lib)
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file(GLOB CERES_LIBRARIES ${Ceres_DIR}/lib/*.lib)
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ELSE(WIN32)
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find_package(Ceres REQUIRED)
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ENDIF()
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# 配置openmp
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find_package(OpenMP REQUIRED)
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# 公共头文件（放置在最前面，所有后面定义的模块才都能找到）
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SET(ArithTrkPubInc ${CMAKE_SOURCE_DIR}/public_include)
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include_directories(${ArithTrkPubInc}) # 引入算法公共头文件
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# 全局包含opencv
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link_directories(${OpenCV_LIBS_DIR})
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include_directories(${OpenCV_INCLUDE_DIRS})
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include_directories(${CUDA_INCLUDE_DIRS})
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set(ArithSrcDIR_MAIN "src") # 库源文件路径
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# 使用当前目录、Common目录源码构建
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file(GLOB libsrcs ${ArithSrcDIR_MAIN}/mapKernel.cu ${ArithSrcDIR_MAIN}/*.cpp ${ArithSrcDIR_MAIN}/*.c ${ArithSrcDIR_MAIN}/*.h ${ArithSrcDIR_MAIN}/*.hpp)
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file(GLOB CommonSrc ${ArithSrcDIR_MAIN}/utils/*.cpp ${ArithSrcDIR_MAIN}/utils/*.c ${ArithSrcDIR_MAIN}/utils/*.h ${ArithSrcDIR_MAIN}/utils/*.hpp)
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message("-------------------")
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message(STATUS ${CMAKE_BUILD_TYPE})
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if(WIN32)
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# 添加全局的CUDA编译选项
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# set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -Xcompiler -D__CUDA_NO_HALF_SUPPORT")
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IF(ENABLE_CUDA)
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cuda_add_library(${LIB_STITCH} SHARED ${libsrcs} ${CommonSrc}) # 构建算法库
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ELSE()
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add_library(${LIB_STITCH} SHARED ${libsrcs} ${CommonSrc}) # 构建算法库
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ENDIF()
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else()
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add_library(${LIB_STITCH} SHARED ${libsrcs} ${CommonSrc}) # 构建算法库
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endif()
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# 设置包含路径
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target_include_directories(${LIB_STITCH} PUBLIC
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${ArithTrkPubInc}
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${ArithSrcDIR_MAIN}
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${ArithSrcDIR_MAIN}/utils
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)
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# 算法库链接
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target_link_libraries(${LIB_STITCH}
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OpenMP::OpenMP_CXX
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${OpenCV_LIBS}
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${CERES_LIBRARIES}
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${CUDA_LIBRARIES}
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)
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set(LIBRARY_OUTPUT_PATH ${CMAKE_SOURCE_DIR}/Bin) # 输出算法库路径
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