jetson nano csi摄像头 tensorrt 运行yolov8检测 项目代码

cmake_minimum_required(VERSION 3.10) project(yolov8) add_definitions(-std=c++17) add_definitions(-DAPI_EXPORTS) option(CUDA_USE_STATIC_CUDA_RUNTIME OFF) set(CMAKE_CXX_STANDARD 17) set(CMAKE_BUILD_TYPE Debug) # TODO(Call for PR): make cmake compatible with Windows set(CMAKE_CUDA_COMPILER /usr/local/cuda/bin/nvcc) enable_language(CUDA) # include and link dirs of cuda and tensorrt, you need adapt them if yours are different # cuda include_directories(/usr/local/cuda/include) link_directories(/usr/local/cuda/lib64) # tensorrt # TODO(Call for PR): make TRT path configurable from command line # tensorrt include_directories(/usr/include/aarch64-linux-gnu/) link_directories(/usr/lib/aarch64-linux-gnu/) # other include_directories(/usr/local/include) link_directories(/usr/local/lib) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -Wall -Ofast -Wfatal-errors -D_MWAITXINTRIN_H_INCLUDED") include_directories(${PROJECT_SOURCE_DIR}/src) include_directories(${PROJECT_SOURCE_DIR}/include) find_package(OpenCV) include_directories(${OpenCV_INCLUDE_DIRS}) add_executable(yolov8 yolov8.cpp ${SRCS}) target_link_libraries(yolov8 libnvinfer_plugin.so) target_link_libraries(yolov8 nvinfer) target_link_libraries(yolov8 cudart) target_link_libraries(yolov8 ${OpenCV_LIBS})