rk3588rk3588s使用c++多线程异步等优化c++实现源码(yolov5运行可达到142fps)+项目使用说明.zip

cmake_minimum_required(VERSION 3.4.1) project(rknn_yolov5_demo) set(CMAKE_CXX_STANDARD 14) set(CMAKE_CXX_STANDARD_REQUIRED ON) set(CMAKE_CXX_FLAGS "-pthread") # skip 3rd-party lib dependencies set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,--allow-shlib-undefined") # install target and libraries set(CMAKE_INSTALL_PREFIX ${CMAKE_SOURCE_DIR}/install/rknn_yolov5_demo_${CMAKE_SYSTEM_NAME}) set(CMAKE_SKIP_INSTALL_RPATH FALSE) set(CMAKE_BUILD_WITH_INSTALL_RPATH TRUE) set(CMAKE_INSTALL_RPATH "${CMAKE_INSTALL_PREFIX}/lib") # rknn api set(RKNN_API_PATH ${CMAKE_SOURCE_DIR}/../../runtime/RK3588/${CMAKE_SYSTEM_NAME}/librknn_api) set(LIB_ARCH aarch64) set(RKNN_RT_LIB ${CMAKE_SOURCE_DIR}/include/librknnrt.so) #rga set(RGA_PATH ${CMAKE_SOURCE_DIR}/include/3rdparty/rga/RK3588) set(RGA_LIB ${RGA_PATH}/lib/Linux//${LIB_ARCH}/librga.so) include_directories(${RKNN_API_PATH}/include) include_directories(${CMAKE_SOURCE_DIR}/include/3rdparty) include_directories(${RGA_PATH}/include) # opencv find_package(OpenCV REQUIRED) set(CMAKE_INSTALL_RPATH "lib") # rknn_yolov5_demo include_directories( ${CMAKE_SOURCE_DIR}/include) add_executable(rknn_yolov5_demo src/main.cc src/postprocess.cc src/preprocess.cc src/rkYolov5s.cc ) target_link_libraries(rknn_yolov5_demo ${RKNN_RT_LIB} ${OpenCV_LIBS} ${RGA_LIB} ) # install target and libraries set(CMAKE_INSTALL_PREFIX ${CMAKE_SOURCE_DIR}/install/rknn_yolov5_demo_${CMAKE_SYSTEM_NAME}) install(TARGETS rknn_yolov5_demo DESTINATION ./) install(PROGRAMS ${RKNN_RT_LIB} DESTINATION lib) install(PROGRAMS ${RGA_LIB} DESTINATION lib) install(DIRECTORY model DESTINATION ./)