linux-cpp-yolov8-demo.rar

# cmake needs this line cmake_minimum_required(VERSION 3.0) # Define project name project(yolov8_demo) # Find OpenCV, you may need to set OpenCV_DIR variable # to the absolute path to the directory containing OpenCVConfig.cmake file # via the command line or GUI #find_package(OpenCV REQUIRED) # Release模式下的编译指令 # SET(CMAKE_BUILD_TYPE "Release") # set(CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_RELEASE} -s") # set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -std=c++17 -pthread -Wall -Wl") # Debug模式下的编译指令 SET(CMAKE_BUILD_TYPE "Debug") set(CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_DEBUG}") set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -std=c++17 -pthread") set(OpenCV_LIBS opencv_videoio opencv_imgcodecs opencv_imgproc opencv_core opencv_dnn opencv_highgui) include_directories( /usr/local/include/opencv4 ${PROJECT_SOURCE_DIR}/include ${PROJECT_SOURCE_DIR}/include/onnxruntime ) link_directories( ${PROJECT_SOURCE_DIR}/lib/onnxruntime # 第三方动态库文件 /usr/local/lib/ ) # Declare the executable target built from your sources add_executable(yolov8_demo ${PROJECT_SOURCE_DIR}/src/main.cpp ${PROJECT_SOURCE_DIR}/src/YoloV8.cpp ${PROJECT_SOURCE_DIR}/src/DetectionResult.cpp) # Link your application with OpenCV libraries target_link_libraries(yolov8_demo -lonnxruntime ${OpenCV_LIBS} )