基于YOLOv5和onnxruntime C++实现目标检测（源码+说明文档）.rar

cmake_minimum_required(VERSION 3.19) # 确定cmake最低版本需求 project(yolov5_cpp) # 项目名称 set(CMAKE_BUILD_TYPE Release) # 配置编译类型 Debug、Release debug检测时间比release长 # CMake 标准 设置c++14 set(CMAKE_CXX_STANDARD 14) # 如果不设置的话，则之前设置的STANDARD 14标准可能会失效。因此，其和后一条语句一般是连用的。 set(CMAKE_CXX_STANDARD_REQUIRED ON) # 头文件搜索路径 include_directories("yolov5_onnxruntime/") # opencv下载后的路径,opencv编译路径 set(OpenCV_DIR G:/down/cpp/opencv-4.5.4/build/x64/vc15/lib) # 自动寻找安装的库，把头文件和库文件添加到 ${OpenCV_INCLUDE_DIRS}、 ${OpenCV_LIBRARIES} find_package(OpenCV REQUIRED) # 指定库文件目录 include include_directories(${OpenCV_INCLUDE_DIRS}) # onnxruntime set设置路径变量 set(ONNXRUNTIME_DIR G:/down/cpp/onnxruntime-win-x64-gpu-1.12.1) # 指定库文件目录 include include_directories(${ONNXRUNTIME_DIR}/include) ## 打印消息 #message(STATUS "ONNXRUNTIME_DIR: ${ONNXRUNTIME_DIR}") #message(STATUS "OpenCV_DIR: ${OpenCV_DIR}") # 编译生成exe，项目名称，需要编译的文件 add_executable(${PROJECT_NAME} yolov5_onnxruntime/detect_file.cpp yolov5_onnxruntime/onnx_run.cpp) #add_executable(${PROJECT_NAME} yolov5_onnxruntime/detect_video.cpp yolov5_onnxruntime/onnx_run.cpp) #add_executable(${PROJECT_NAME} main.cpp) # 项目名称 链接OpenCV库.lib文件 target_link_libraries(${PROJECT_NAME} ${OpenCV_LIBS}) # windows下使用 if (WIN32) # 链接onnxruntime库 .lib文件 target_link_libraries(${PROJECT_NAME} ${ONNXRUNTIME_DIR}/lib/onnxruntime.lib) endif (WIN32) # linux下使用 if (UNIX) target_link_libraries(${PROJECT_NAME} ${ONNXRUNTIME_DIR}/lib/libonnxruntime.so) endif (UNIX)