rv1126-rknpu-v1.7.3添加opencv库

rv1126所使用的rknn sdk里默认是不带opencv库的，官方所用的例程里也没有使用opencv，但是这样在进行图像处理的时候有点麻烦了，这里有两种办法:

一是先用python将所需要的图片处理好后在转化为bin格式文件，在使用c++或c进行读取，可以参考->；

二是为其添加opencv库，可以直接在程序中调用opencv接口；下面介绍具体步骤

1：首先利用rv1126的交叉编译工具，将opencv源码生成可在rv1126上运行的库，参考

-> Rv1126移植opencv-CSDN博客

2:将编译生成的install下的所有文件拷贝支/3rdparty/opencv/下

3：编辑CMakeLists.txt

cmake_minimum_required(VERSION 3.4.1)
set(PROJECT_NAME rknn_template)
project(${PROJECT_NAME})set(CMAKE_SYSTEM_NAME Linux)set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS}")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")if(CMAKE_SIZEOF_VOID_P EQUAL 8)message(STATUS "64bit")set(LIB_ARCH lib64)
else()message(STATUS "32bit")set(LIB_ARCH lib)
endif()# rknn api
set(RKNN_API_PATH ${CMAKE_SOURCE_DIR}/../../librknn_api)
include_directories(${RKNN_API_PATH}/include)
set(RKNN_API_LIB ${RKNN_API_PATH}/${LIB_ARCH}/librknn_api.so)# opencv
if(LIB_ARCH STREQUAL "lib")set(OpenCV_DIR ${CMAKE_SOURCE_DIR}/../3rdparty/opencv/opencv-3.4.3/share/OpenCV)message(STATUS "--------armhf")
else()set(OpenCV_DIR ${CMAKE_SOURCE_DIR}/../3rdparty/opencv/opencv-linux-aarch64/share/OpenCV)message(STATUS "aarch64")
endif()
find_package(OpenCV REQUIRED)#stb
include_directories(${CMAKE_SOURCE_DIR}/../3rdparty/)set(CMAKE_INSTALL_RPATH "lib")add_executable(${PROJECT_NAME}src/main.cc
)target_link_libraries(${PROJECT_NAME}${RKNN_API_LIB}${OpenCV_LIBS}dl)# install target and libraries
set(CMAKE_INSTALL_PREFIX ${CMAKE_SOURCE_DIR}/install/${PROJECT_NAME})
install(TARGETS ${PROJECT_NAME} DESTINATION ./)
install(DIRECTORY model DESTINATION ./)
install(PROGRAMS ${RKNN_API_LIB} DESTINATION lib)

 

build.sh

#!/bin/bashset -e# for rv1109/rv1126 armhfGCC_COMPILER=/opt/atk-dlrv1126-toolchain/bin/arm-linux-gnueabihfROOT_PWD=$( cd "$( dirname $0 )" && cd -P "$( dirname "$SOURCE" )" && pwd )# build rockxBUILD_DIR=${ROOT_PWD}/buildif [[ ! -d "${BUILD_DIR}" ]]; thenmkdir -p ${BUILD_DIR}ficd ${BUILD_DIR}cmake .. \-DCMAKE_C_COMPILER=${GCC_COMPILER}-gcc \-DCMAKE_CXX_COMPILER=${GCC_COMPILER}-g++make -j4make installcd -

 

main.cc里加入opencv库

此时有可能报错，使用ldd xxxx查看

这是因为板端没有找到相应的库，此时把缺失的库拷贝到提示缺失的路径下，再次运行即可，若依然有报错则继续添加到相应路径下即可。