85 lines
3.5 KiB
CMake
85 lines
3.5 KiB
CMake
cmake_minimum_required(VERSION 3.10)
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project(FaceDetectionApp)
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# 设置 C++ 标准
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set(CMAKE_CXX_STANDARD 11)
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set(CMAKE_CXX_STANDARD_REQUIRED True)
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# 若未指定构建类型，默认使用 Release
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if(NOT CMAKE_BUILD_TYPE)
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set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
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endif()
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# 默认导出 compile_commands.json（便于 IDE/clangd 索引）
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set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
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set(SFACE_MODEL "${CMAKE_SOURCE_DIR}/models/face_recognition_sface_2021dec.onnx")
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set(SFACE_MODEL_SHA256 "0ba9fbfa01b5270c96627c4ef784da859931e02f04419c829e83484087c34e79")
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if(EXISTS "${SFACE_MODEL}")
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file(SHA256 "${SFACE_MODEL}" SFACE_MODEL_ACTUAL_SHA256)
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if(NOT SFACE_MODEL_ACTUAL_SHA256 STREQUAL SFACE_MODEL_SHA256)
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message(FATAL_ERROR "Bundled SFace model checksum mismatch")
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endif()
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else()
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message(FATAL_ERROR "Missing bundled SFace model: ${SFACE_MODEL}")
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endif()
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# ============================================================================
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# 0. SIMD 加速选项（作用于 libfacedetection 动态库）
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# X86/X64 CPU: cmake -DENABLE_AVX2=ON 或 -DENABLE_AVX512=ON
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# ARM CPU: cmake -DENABLE_NEON=ON
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# 开启后会自动定义对应宏并添加编译器指令集标志，无需手动改头文件。
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# AVX512 / AVX2 / NEON 三者互斥（与头文件中的 #error 检查一致）。
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# ============================================================================
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set(ENABLE_AVX2 ON CACHE BOOL "Enable AVX2 acceleration (X64 CPU)")
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set(ENABLE_AVX512 OFF CACHE BOOL "Enable AVX512 acceleration (X64 CPU)")
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set(ENABLE_NEON OFF CACHE BOOL "Enable NEON acceleration (ARM CPU)")
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# 三者最多只能开启其中一个
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set(_SIMD_ENABLED_COUNT 0)
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foreach(_simd_opt ENABLE_AVX512 ENABLE_AVX2 ENABLE_NEON)
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if(${_simd_opt})
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math(EXPR _SIMD_ENABLED_COUNT "${_SIMD_ENABLED_COUNT} + 1")
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endif()
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endforeach()
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if(_SIMD_ENABLED_COUNT GREATER 1)
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message(FATAL_ERROR "ENABLE_AVX512 / ENABLE_AVX2 / ENABLE_NEON 三者互斥，最多只能开启其中一个。")
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endif()
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# 检测编译器是否支持 -mfpu=neon：
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# - 32 位 ARM (armhf) 需要该标志才能使用 arm_neon.h 内联函数；
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# - AArch64 下 NEON 默认开启，x86 不识别该标志，这两种情况检测结果均为否。
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include(CheckCXXCompilerFlag)
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check_cxx_compiler_flag("-mfpu=neon" CXX_HAS_MFPU_NEON)
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# ============================================================================
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# 1. 依赖查找
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# ============================================================================
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find_package(OpenCV REQUIRED) # app / network_camera_receiver 需要
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find_package(OpenMP) # libfacedetection 可选加速
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find_package(Threads REQUIRED) # network_camera_receiver 后台线程 / app
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message(STATUS "Found OpenCV Version: ${OpenCV_VERSION}")
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if(OpenMP_FOUND)
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message(STATUS "Found OpenMP CXX: ${OpenMP_CXX_VERSION}")
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else()
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message(STATUS "OpenMP not found, building without OpenMP support.")
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endif()
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message(STATUS "Threads library enabled.")
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# ============================================================================
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# 2. 子模块
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# libfacedetection -> SHARED 动态库（人脸检测）
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# network_camera_receiver-> STATIC 静态库（仅抓帧）
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# app -> 可执行程序（编排 收帧->检测->显示）
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# ============================================================================
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add_subdirectory(libfacedetection)
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add_subdirectory(network_camera_receiver)
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add_subdirectory(face_pipeline)
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add_subdirectory(app)
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include(CTest)
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if(BUILD_TESTING)
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add_subdirectory(tests)
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endif()
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