238 lines
7.0 KiB
CMake
238 lines
7.0 KiB
CMake
# CMake lowest version requirement
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cmake_minimum_required(VERSION 3.21)
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# project information
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project(train_RFID_Linux)
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project(${PROJECT_NAME} VERSION 0.1 DESCRIPTION "RFID识别程序 Linux版")
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add_definitions(-std=c++11)
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add_definitions(-DAPI_EXPORTS)
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set(CMAKE_CXX_STANDARD 11)
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set(CMAKE_BUILD_TYPE Debug)
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option(CUDA_USE_STATIC_CUDA_RUNTIME OFF)
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# Set target output directory
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set(PROJECT_SRC_ROOT ${CMAKE_CURRENT_LIST_DIR}/)
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set(CMAKE_MODULE_PATH ${PROJECT_SRC_ROOT}/CMake)
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# 设置项目生成目录
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set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${PROJECT_SRC_ROOT}/app)
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# 设置调用库文件的位置
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set(CMAKE_SKIP_BUILD_RPATH FALSE)
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set(CMAKE_BUILD_WITH_INSTALL_RPATH TRUE)
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set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
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set(CMAKE_INSTALL_RPATH "./lib")
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#
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find_package(Threads REQUIRED)
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# sftp上传
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find_package(Libssh2)
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# boost，指定版本
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set(BOOST_INCLUDEDIR /usr/local/include)
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find_package(Boost 1.65.0 EXACT REQUIRED COMPONENTS system filesystem)
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include_directories(${Boost_INCLUDE_DIRS})
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message(STATUS "Using Boost ${Boost_VERSION}")
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# opencv
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#find_package(OpenCV REQUIRED)
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#message(STATUS "Using OpenCV ${OpenCV_VERSION}")
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# CUDA
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#find_package(CUDA REQUIRED)
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#message(STATUS "Using CUDA ${CUDA_VERSION}")
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# 添加调试信息
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set(CMAKE_CXX_FLAGS_DEBUG "$ENV{CXXFLAGS} -O0 -Wall -g -ggdb")
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -Wall -O0 -Wfatal-errors -pthread -w -g")
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set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -std=c++11 -O0 -Xcompiler -fPIC -g -w ${CUDA_GEN_CODE}")
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# 设置库/头文件路径
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set(SYS_USR_INCLUDE_DIR "/usr/include")
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set(SYS_USR_LIB_DIR "/usr/lib")
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set(SYS_USR_LOCAL_INCLUDE_DIR "/usr/local/include")
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set(SYS_USR_LOCAL_LIB_DIR "/usr/local/lib")
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# set(X86_LINUX_INCLUDE_DIR "/usr/include/x86_64-linux-gnu")
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# set(X86_LINUX_LIB_DIR "/usr/lib/x86_64-linux-gnu")
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set(X86_LINUX_INCLUDE_DIR "/usr/include/aarch64-linux-gnu")
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set(X86_LINUX_INCLUDE_DIR "/usr/lib/aarch64-linux-gnu")
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#OpenCV头文件及库文件
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#set(OPENCV_INCLUDE_DIR ${SYS_USR_LOCAL_INCLUDE_DIR}/opencv4)
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#set(OPENCV_LIB_DIR ${SYS_USR_LOCAL_LIB_DIR})
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#CUDA头文件及库文件
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#set(CUDA_DIR "/usr/local/cuda-11.7")
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#set(CUDA_INCLUDE_DIR ${CUDA_DIR}/include)
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#set(CUDA_LIB_DIR ${CUDA_DIR}/lib64)
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#TensorRT头文件及库文件
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#set(TENSORRT_INCLUDE_DIR ${X86_LINUX_INCLUDE_DIR}) #tensorrt的头文件在/usr/include/aarch64-linux-gnu下
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#set(TENSORRT_LIB_DIR ${X86_LINUX_LIB_DIR}) #tensorrt的库文件在/usr/lib/aarch64-linux-gnu下
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#ai_matrix
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set(ai_matrix_Folder ${PROJECT_SRC_ROOT}/ai_matrix)
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get_filename_component(ai_matrix_ABS_DIR ${ai_matrix_Folder} ABSOLUTE)
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file(GLOB_RECURSE ai_matrix_SRC_FILES
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${ai_matrix_ABS_DIR}/framework/*cpp
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${ai_matrix_ABS_DIR}/myqueue/*cpp
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${ai_matrix_ABS_DIR}/myshell/*cpp
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${ai_matrix_ABS_DIR}/mylog/*cpp
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${ai_matrix_ABS_DIR}/Utils/*cpp
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${ai_matrix_ABS_DIR}/Http/*cpp
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${ai_matrix_ABS_DIR}/Config/*cpp
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)
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include_directories(${ai_matrix_Folder})
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include_directories(${ai_matrix_Folder}/framework)
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include_directories(${ai_matrix_Folder}/myqueue)
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include_directories(${ai_matrix_Folder}/myshell)
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include_directories(${ai_matrix_Folder}/mylog)
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include_directories(${ai_matrix_Folder}/Utils)
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include_directories(${ai_matrix_Folder}/Http)
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include_directories(${ai_matrix_Folder}/Config)
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# DealRfidEngine
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include_directories(${PROJECT_SRC_ROOT}/engine/DealRfidEngine)
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aux_source_directory(${PROJECT_SRC_ROOT}/engine/DealRfidEngine DealRfidEngine_SRC)
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# GetRfidEngine
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include_directories(${PROJECT_SRC_ROOT}/engine/GetRfidEngine)
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aux_source_directory(${PROJECT_SRC_ROOT}/engine/GetRfidEngine GetRfidEngine_SRC)
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# HttpEngine
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include_directories(${PROJECT_SRC_ROOT}/engine/HttpEngine)
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aux_source_directory(${PROJECT_SRC_ROOT}/engine/HttpEngine HttpEngine_SRC)
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# SaveResultEngine
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include_directories(${PROJECT_SRC_ROOT}/engine/SaveResultEngine)
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aux_source_directory(${PROJECT_SRC_ROOT}/engine/SaveResultEngine SaveResultEngine_SRC)
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# SaveRfidEngine
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include_directories(${PROJECT_SRC_ROOT}/engine/SaveRfidEngine)
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aux_source_directory(${PROJECT_SRC_ROOT}/engine/SaveRfidEngine SaveRfidEngine_SRC)
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# VideoAuxiliaryEngine
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include_directories(${PROJECT_SRC_ROOT}/engine/VideoAuxiliaryEngine)
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aux_source_directory(${PROJECT_SRC_ROOT}/engine/VideoAuxiliaryEngine VideoAuxiliaryEngine_SRC)
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# 其他头文件
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include_directories(
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#base include
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${PROJECT_SOURCE_DIR}/base/BlockingQueue
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${PROJECT_SOURCE_DIR}/base/CBase64
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${PROJECT_SOURCE_DIR}/base/CommandParser
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${PROJECT_SOURCE_DIR}/base/CommonDataType
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${PROJECT_SOURCE_DIR}/base/ConfigParser
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${PROJECT_SOURCE_DIR}/base/ErrorCode
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${PROJECT_SOURCE_DIR}/base/FileManager
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${PROJECT_SOURCE_DIR}/base/Log
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#code include
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${PROJECT_SOURCE_DIR}/code/common
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# ${PROJECT_SOURCE_DIR}/code/cuda_utils
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# ${PROJECT_SOURCE_DIR}/code/model
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# ${PROJECT_SOURCE_DIR}/code/preprocess
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# ${PROJECT_SOURCE_DIR}/code/inference
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# ${PROJECT_SOURCE_DIR}/code/postprocess
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${PROJECT_SOURCE_DIR}/code/BaseSocket
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${PROJECT_SOURCE_DIR}/code/BaseComPort
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#third party include
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# ${CUDA_INCLUDE_DIR}
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# ${TENSORRT_INCLUDE_DIR}
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# ${OpenCV_DIR}
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${X86_LINUX_INCLUDE_DIR}
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${SYS_USR_LOCAL_INCLUDE_DIR}
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)
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# 设置链接库路径
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link_directories(${SYS_USR_LOCAL_LIB_DIR}
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${X86_LINUX_LIB_DIR}
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# ${OPENCV_LIB_DIR}
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# ${CUDA_LIB_DIR}
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# ${TENSORRT_LIB_DIR}
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)
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# 源文件
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file(
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GLOB_RECURSE SRCS_LISTS
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${ai_matrix_SRC_FILES}
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#base src
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${PROJECT_SOURCE_DIR}/base/CommandParser/*.cpp
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${PROJECT_SOURCE_DIR}/base/ConfigParser/*.cpp
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${PROJECT_SOURCE_DIR}/base/ErrorCode/*.cpp
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${PROJECT_SOURCE_DIR}/base/FileManager/*.cpp
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${PROJECT_SOURCE_DIR}/base/Log/*.cpp
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#code src
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${PROJECT_SOURCE_DIR}/code/common/*.cpp
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# ${PROJECT_SOURCE_DIR}/code/cuda_utils/*.cpp
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# ${PROJECT_SOURCE_DIR}/code/preprocess/*.cu
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# ${PROJECT_SOURCE_DIR}/code/inference/*.cu
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# ${PROJECT_SOURCE_DIR}/code/postprocess/*.cpp
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${PROJECT_SOURCE_DIR}/code/BaseSocket/*.cpp
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${PROJECT_SOURCE_DIR}/code/BaseComPort/*.cpp
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# engine
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${DealRfidEngine_SRC}
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${GetRfidEngine_SRC}
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${HttpEngine_SRC}
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${SaveResultEngine_SRC}
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${SaveRfidEngine_SRC}
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${VideoAuxiliaryEngine_SRC}
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)
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# 服务端
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add_executable(${PROJECT_NAME}
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${PROJECT_SRC_ROOT}/main.cpp
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${SRCS_LISTS}
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)
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# TensorRT
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#target_link_libraries(
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# ${PROJECT_NAME}
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# nvinfer
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# nvonnxparser
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# nvcaffe_parser
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# nvinfer_plugin
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#)
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target_link_libraries(
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${PROJECT_NAME}
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${Boost_LIBRARIES}
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# ${CUDA_LIBRARIES}
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# ${OpenCV_LIBS}
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${_REFLECTION}
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# FFmpeg
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avformat
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avcodec
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avutil
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avfilter
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swresample
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swscale
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postproc
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rt
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dl
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pthread
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yaml-cpp
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https_sn
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jsoncpp
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curl
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ssh2
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crypto
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-Wl,-z,relro,-z,now,-z,noexecstack -pie -s
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)
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