CMake构建Linux智能视频监控应用程序配置指南

基础CMake配置

cmake_minimum_required(VERSION 3.10)
project(SmartVideoSurveillance VERSION 1.0 LANGUAGES CXX)

set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)

视频处理依赖配置

OpenCV配置

# 查找OpenCV库
find_package(OpenCV REQUIRED
    COMPONENTS core highgui videoio video objdetect imgproc dnn
)

if(OpenCV_FOUND)
    include_directories(${OpenCV_INCLUDE_DIRS})
    message(STATUS "OpenCV version: ${OpenCV_VERSION}")
endif()

FFmpeg配置

# 查找FFmpeg库
find_package(PkgConfig REQUIRED)
pkg_check_modules(FFMPEG REQUIRED libavcodec libavformat libavutil libswscale)

if(FFMPEG_FOUND)
    include_directories(${FFMPEG_INCLUDE_DIRS})
    link_directories(${FFMPEG_LIBRARY_DIRS})
endif()

深度学习模型集成

# 配置TensorRT (可选)
find_package(TensorRT QUIET)
if(TensorRT_FOUND)
    include_directories(${TensorRT_INCLUDE_DIRS})
    message(STATUS "TensorRT version: ${TensorRT_VERSION}")
endif()

# 配置ONNX Runtime (可选)
find_package(ONNXRuntime QUIET)
if(ONNXRuntime_FOUND)
    include_directories(${ONNXRuntime_INCLUDE_DIRS})
endif()

多线程与硬件加速

# 启用多线程支持
find_package(Threads REQUIRED)

# 检查CUDA支持
option(ENABLE_CUDA "Enable CUDA acceleration" OFF)
if(ENABLE_CUDA)
    find_package(CUDA REQUIRED)
    enable_language(CUDA)
    set(CMAKE_CUDA_STANDARD 17)
    message(STATUS "CUDA version: ${CUDA_VERSION}")
endif()

应用程序配置

# 添加可执行文件
add_executable(smart_surveillance
    src/main.cpp
    src/video_processor.cpp
    src/motion_detector.cpp
    src/object_detector.cpp
)

# 链接库
target_link_libraries(smart_surveillance
    PRIVATE
    ${OpenCV_LIBS}
    ${FFMPEG_LIBRARIES}
    Threads::Threads
)

if(TensorRT_FOUND)
    target_link_libraries(smart_surveillance PRIVATE nvinfer)
endif()

if(ENABLE_CUDA)
    target_link_libraries(smart_surveillance PRIVATE ${CUDA_LIBRARIES})
endif()

安装配置

# 安装可执行文件
install(TARGETS smart_surveillance
    RUNTIME DESTINATION bin
)

# 安装配置文件
install(DIRECTORY config/
    DESTINATION etc/smart_surveillance
)

# 安装模型文件
install(DIRECTORY models/
    DESTINATION share/smart_surveillance/models
)

高级配置技巧

1. 交叉编译支持:

set(CMAKE_SYSTEM_NAME Linux)
set(CMAKE_SYSTEM_PROCESSOR armv7l)  # 针对ARM平台

2. 性能优化标志:

if(CMAKE_BUILD_TYPE STREQUAL "Release")
    add_compile_options(-O3 -march=native -ffast-math)
endif()

3. 日志系统集成:

find_package(spdlog QUIET)
if(spdlog_FOUND)
    target_link_libraries(smart_surveillance PRIVATE spdlog::spdlog)
endif()

4. 单元测试集成:

enable_testing()
find_package(GTest REQUIRED)
add_subdirectory(tests)

5. 版本信息生成:

configure_file(
    ${CMAKE_CURRENT_SOURCE_DIR}/src/version.h.in
    ${CMAKE_CURRENT_BINARY_DIR}/version.h
)

常见问题解决方案

1. OpenCV找不到问题:

   • 确保OpenCV已正确安装
   • 可手动指定路径: set(OpenCV_DIR "/path/to/opencv/build")

2. FFmpeg链接问题:

   • 检查pkg-config路径是否正确
   • 可手动指定库路径: set(FFMPEG_LIBRARIES avcodec avformat avutil swscale)

3. CUDA兼容性问题:

   • 确保CUDA版本与OpenCV版本兼容
   • 使用CUDA_ARCHITECTURES指定计算能力

4. 内存泄漏检测:

option(ENABLE_ASAN "Enable Address Sanitizer" OFF)
if(ENABLE_ASAN)
    add_compile_options(-fsanitize=address -fno-omit-frame-pointer)
    add_link_options(-fsanitize=address)
endif()

通过以上CMake配置，您可以构建一个功能完善的智能视频监控应用程序，支持视频处理、对象检测、运动检测等功能，并能充分利用硬件加速能力。