linux arm aarch 是 opencv 交叉编译与使用"/>
【OpenCV(3)】linux arm aarch 是 opencv 交叉编译与使用
文章目录
- 1、直接找github 别人编译好的
- 2、自主编译
- 参考
- 3使用
- CMake
- 检查
- 参考
1、直接找github 别人编译好的
测试很多，找到一个可用的。
它用了超级模块！
OpenCV的world模块也称为超级模块（super-module），它结合了用户选择的所有其它模块。在编译OpenCV库时，有需要勾选BUILD_opencv_world模块，其作用是将所有模块的库文件合并成一个大的库文件，方便在链接时候的操作。
这样就不用自主编译了。但是已经自主编译了一个，还是记录下吧。
2、自主编译
找了很多github的编译好的文件，都没法用。还是自己编译吧。
opencv的交叉编译工具链在…/opencv3.4.16/platforms/linux 路径下，linux文件夹下是一些.cmake文件，对应不同的移植对象，本人需要在NVIDIA的Xavier部署模型，所以选择aarch64-gnu.toolchain.cmake 工具链。在opencv3.4.16目录下，编写build.sh文件，然后执行./build.sh --mlu-arch=SD5223C --cpu-arch=aarch64。 具体的buld.sh 这样写
这个脚本只有2个地方需要修改：
- 如果你的交叉编译器的地址修改，第53行
TOOLCHAIN_ROOT="/tmp/aarch64--glibc--stable-2020.08-1"。 TARGET_C_COMPILER和TARGET_CXX_COMPILER地址，需要注意。其他地方都很好理解。如果不理解，请在评论区讨论。
TARGET_C_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-gccTARGET_CXX_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-g++
#!/bin/bash
################################################################################
if [ $NEUWARE_HOME ] ;thenecho "NEUWARE_HOME: ${NEUWARE_HOME} has been set."
elseexport NEUWARE_HOME="/usr/local/neuware"echo "set NEUWARE_HOME: ${NEUWARE_HOME} by default."
fiBUILD_DIR="build"
rm -rf "$BUILD_DIR"
mkdir -p "$BUILD_DIR"BUILD_MODE="release"
MLU_ARCH=""
TARGET_CPU_ARCH="x86_64-linux-gnu"
TARGET_C_COMPILER="$(which gcc)"
TARGET_CXX_COMPILER="$(which g++)"
if [ $# != 0 ]; thenwhile [ $# != 0 ]; docase "$1" in--cpu-arch=*)TMP_STRING=$1TARGET_CPU_ARCH=${TMP_STRING#*=};TARGET_CPU_ARCH=${TARGET_CPU_ARCH}-linux-gnu;shift;;--mlu-arch=*)TMP_MLU_ARCH=${1}MLU_ARCH=${TMP_MLU_ARCH#*=}shift;;-d | --debug)BUILD_MODE="debug"echo "-- Using debug mode."shift;;-v | --verbose)BUILD_VERBOSE="VERBOSE=1"shift;;esacdone
fi## TOOLCHAIN_ROOT not exist, use default env
if [ ! "${TOOLCHAIN_ROOT}" ]; thenif [ "$TARGET_CPU_ARCH" == "aarch64-linux-gnu" ]; thenif [ "$MLU_ARCH" == "SD5223" ]; then#TOOLCHAIN_ROOT="/tools/gcc/gcc-9/gcc-stable-9.3.0-2020.08-x86_64_aarch4-linux-gnu"TOOLCHAIN_ROOT="/tools/gcc/gcc-9/gcc-stable-9.3.0-2020.08-x86_64_aarch4-linux-gnu"elseTOOLCHAIN_ROOT="/tmp/gcc-linaro-6.2.1-2016.11-x86_64_aarch64-linux-gnu"fiecho "Using default TOOLCHAIN_ROOT=${TOOLCHAIN_ROOT}"if [ -f ${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-gcc ]; thenTARGET_C_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-gccTARGET_CXX_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-g++elseTARGET_C_COMPILER=${TOOLCHAIN_ROOT}/bin/aarch64-linux-gccTARGET_CXX_COMPILER=${TOOLCHAIN_ROOT}/bin/aarch64-linux-g++fifi
elseecho "Using TOOLCHAIN_ROOT=${TOOLCHAIN_ROOT}"if [ "$TARGET_CPU_ARCH" == "aarch64-linux-gnu" ]; thenif [ -f ${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-gcc ]; thenTARGET_C_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-gccTARGET_CXX_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-g++elseTARGET_C_COMPILER=${TOOLCHAIN_ROOT}/bin/aarch64-linux-gccTARGET_CXX_COMPILER=${TOOLCHAIN_ROOT}/bin/aarch64-linux-g++fifi
fiif [[ -f /proc/cpuinfo ]]; thenMJOBS=$(grep -c processor /proc/cpuinfo)
elseMJOBS=4
fipushd ${BUILD_DIR}cmake -DCMAKE_BUILD_TYPE="${BUILD_MODE}" \-DTOOLCHAIN_ROOT="${TOOLCHAIN_ROOT}" \-DTARGET_CPU_ARCH="${TARGET_CPU_ARCH}" \-DCMAKE_C_COMPILER="${TARGET_C_COMPILER}" \-DCMAKE_CXX_COMPILER="${TARGET_CXX_COMPILER}" \-DMLU_ARCH="${MLU_ARCH}" \-DCMAKE_INSTALL_PREFIX=../aarch_64_install \-DCMAKE_TOOLCHAIN_FILE=../platforms/linux/aarch64-gnu.toolchain.cmake \..make -j$MJOBS ${BUILD_VERBOSE}
popd
这个脚本还是很好用的，如果理解里面的知识点的话！！
make install
编译结束后进入aarch_64_install文件夹，里面生成bin，include，lib，share四个文件夹。
参考
3使用
可以直接通过指定export OPENCV_DIR=xxx指定依赖的opencv，默认需要的组织目录(aarch64架构下建议使用该种形式)：
|-- ${OPENCV_DIR}| |-- include| | |-- opencv2| |-- lib| | |-- libxxxCMake
# cmake file for samples
cmake_minimum_required(VERSION 2.8)
project(SAMPLES)
set(CMAKE_CXX_STANDARD 11) set(EXECUTABLE_OUTPUT_PATH "${CMAKE_CURRENT_SOURCE_DIR}/bin")
set(TOOLCHAIN_ROOT ${TOOLCHAIN_ROOT})
set(TARGET_CPU_ARCH ${TARGET_CPU_ARCH})
if(${TARGET_CPU_ARCH} MATCHES "aarch64-linux-gnu")include_directories(${TOOLCHAIN_ROOT}/aarch64-linux-gnu/include/c++/6.2.1/)include_directories(${TOOLCHAIN_ROOT}/aarch64-linux-gnu/include/c++/6.2.1/aarch64-linux-gnu/)include_directories(${TOOLCHAIN_ROOT}/aarch64-linux-gnu/)
endif()################################################################################
# opencv lib
################################################################################if(NOT HAVE_OPENCV)if("$ENV{OPENCV_DIR}" STREQUAL "")find_package(OpenCV REQUIRED)set(HAVE_OPENCV true)message("find_package(OpenCV REQUIRED) required.")else()message("find_package(OpenCV REQUIRED) No!")include_directories("$ENV{OPENCV_DIR}/include")link_directories("$ENV{OPENCV_DIR}/lib")set(OpenCV_LIBS opencv_core opencv_imgproc opencv_highgui opencv_imgcodecs)set(HAVE_OPENCV true)endif()
endif()if(NOT HAVE_OPENCV)message(FATAL_ERROR "Cannot find opencv which is required.")
else()#message(${OpenCV_INCLUDE_DIRS})message("ok required.")
endif()
include_directories( ${OpenCV_INCLUDE_DIRS} )set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -fPIC -Wall -Werror -pthread")
message(STATUS "Project: ${PROJECT_SOURCE_DIR}" )
message(STATUS "Project SOURCE dir: ${SAMPLES_SOURCE_DIR}" )
message(STATUS "Project BINARY dir: ${PROJECT_BINARY_DIR}" )function(gensample sample_file)set(sample_root_name ${CMAKE_CURRENT_SOURCE_DIR}/${sample_file}.cpp)add_executable(sample_${sample_file} ${sample_root_name} )target_link_libraries(sample_${sample_file} ${OpenCV_LIBS})
endfunction()################################################################################
# Build Samples
################################################################################
set(MLU_ARCH)if ("${MLU_ARCH}" MATCHES "SD5223")gensample(OpenCVTest)
else()gensample(OpenCVTest)
endif()#include <iostream>
#include "opencv2/core.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"int main()
{cv::Mat srcImage = cv::imread("1.jpg");cv::Mat img;cv::cvtColor(srcImage, img, cv::COLOR_BGR2RGB);//cv::imwrite("resize_input.jpg", srcImage);cv::imwrite("resize_input.jpg", img);//cv::Mat img;cv::cvtColor(srcImage, img, cv::COLOR_BGR2RGB);cv::imshow("源图像",srcImage);cv::waitKey(0);return 0;
}
sh脚本
#!/bin/bash
################################################################################
export OPENCV_DIR=/mnt/ef2301-sdk-0.10.0/board/develop_workspace/inference/OpenCV3.0.0-master/arm-obj_relif [ $NEUWARE_HOME ] ;thenecho "NEUWARE_HOME: ${NEUWARE_HOME} has been set."
elseexport NEUWARE_HOME="/usr/local/neuware"echo "set NEUWARE_HOME: ${NEUWARE_HOME} by default."
fiBUILD_DIR="build"
rm -rf "$BUILD_DIR"
mkdir -p "$BUILD_DIR"BUILD_MODE="release"
MLU_ARCH=""
TARGET_CPU_ARCH="x86_64-linux-gnu"
TARGET_C_COMPILER="$(which gcc)"
TARGET_CXX_COMPILER="$(which g++)"
if [ $# != 0 ]; thenwhile [ $# != 0 ]; docase "$1" in--cpu-arch=*)TMP_STRING=$1TARGET_CPU_ARCH=${TMP_STRING#*=};TARGET_CPU_ARCH=${TARGET_CPU_ARCH}-linux-gnu;shift;;--mlu-arch=*)TMP_MLU_ARCH=${1}MLU_ARCH=${TMP_MLU_ARCH#*=}shift;;-d | --debug)BUILD_MODE="debug"echo "-- Using debug mode."shift;;-v | --verbose)BUILD_VERBOSE="VERBOSE=1"shift;;esacdone
fi## TOOLCHAIN_ROOT not exist, use default env
if [ ! "${TOOLCHAIN_ROOT}" ]; thenif [ "$TARGET_CPU_ARCH" == "aarch64-linux-gnu" ]; thenif [ "$MLU_ARCH" == "SD5223" ]; then#TOOLCHAIN_ROOT="/tools/gcc/gcc-9/gcc-stable-9.3.0-2020.08-x86_64_aarch4-linux-gnu"TOOLCHAIN_ROOT="/tools/gcc/gcc-9/gcc-stable-9.3.0-2020.08-x86_64_aarch4-linux-gnu"elseTOOLCHAIN_ROOT="/tmp/gcc-linaro-6.2.1-2016.11-x86_64_aarch64-linux-gnu"fiecho "Using default TOOLCHAIN_ROOT=${TOOLCHAIN_ROOT}"if [ -f ${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-gcc ]; thenTARGET_C_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-gccTARGET_CXX_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-g++elseTARGET_C_COMPILER=${TOOLCHAIN_ROOT}/bin/aarch64-linux-gccTARGET_CXX_COMPILER=${TOOLCHAIN_ROOT}/bin/aarch64-linux-g++fifi
elseecho "Using TOOLCHAIN_ROOT=${TOOLCHAIN_ROOT}"if [ "$TARGET_CPU_ARCH" == "aarch64-linux-gnu" ]; thenif [ -f ${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-gcc ]; thenTARGET_C_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-gccTARGET_CXX_COMPILER=${TOOLCHAIN_ROOT}/bin/${TARGET_CPU_ARCH}-g++elseTARGET_C_COMPILER=${TOOLCHAIN_ROOT}/bin/aarch64-linux-gccTARGET_CXX_COMPILER=${TOOLCHAIN_ROOT}/bin/aarch64-linux-g++fifi
fiif [[ -f /proc/cpuinfo ]]; thenMJOBS=$(grep -c processor /proc/cpuinfo)
elseMJOBS=4
fipushd ${BUILD_DIR}cmake -DCMAKE_BUILD_TYPE="${BUILD_MODE}" \-DTOOLCHAIN_ROOT="${TOOLCHAIN_ROOT}" \-DTARGET_CPU_ARCH="${TARGET_CPU_ARCH}" \-DCMAKE_C_COMPILER="${TARGET_C_COMPILER}" \-DCMAKE_CXX_COMPILER="${TARGET_CXX_COMPILER}" \-DMLU_ARCH="${MLU_ARCH}" \..make -j$MJOBS ${BUILD_VERBOSE}
popd检查
利用file draw_image检查可执行文件格式是否支持arrch64
draw_image: ELF 64-bit LSB shared object, ARM aarch64, version 1 (GNU/Linux), dynamically linked, interpreter /lib/ld-linux-aarch64.so.1, for GNU/Linux 3.7.0, BuildID[sha1]=42f4ae7c66a0875bc0d49e4195ff35aa08f15cbe, not stripped
出现如上结果说明可执行文件支持ARM arrch64。
移植ARM端执行
将 aarch_64_install文件夹下的include和lib里的文件分别拷贝到ARM板的/usr/include 和/usr/lib下 然后打开终端执行可执行文件即可。
参考
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【OpenCV(3)】linux arm aarch 是 opencv 交叉编译与使用
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