opencv在hisi平台的移植

最新推荐文章于 2025-02-15 01:01:41 发布

ayanwan

最新推荐文章于 2025-02-15 01:01:41 发布

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分类专栏： Computer Vision 文章标签： opencv 移植交叉编译 arm

本文链接：https://blog.youkuaiyun.com/tfygg/article/details/43448257

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opencv249在hisi3516上的移植总结

经本人尝试opencv249在arm-hisiv200-linux-g++ 可以编译通过，在arm-hisiv100-linux-g++ 下编译会出现错误。本文分别介绍在arm-hisiv200-linux-g++ 和arm-hisiv100-linux-g++ 下opencv的编译方式。

一、arm-hisiv200-linux-g++交叉编译链

Ubuntu12.04

OpenCV-2.4.9

1、在/home下新建文件夹

# mkdir opencv249

把下载的OpenCV-2.4.9.tar.bz2解压到/home/opencv 目录下

2、然后在home/opencv 新建一个 hisiv200-build 文件夹，作为CMake编译hisi版本的工作目录

# mkdir hisiv200-build

3、在终端里调出CMake gui界面：

# cmake-gui

(1)在configure时选择

CMAKE_SYSTEM_NAME:hisiv-linux
C:选择/opt/hisi-linux/x86-arm/arm-hisiv200-linux/target/bin/arm-hisiv200-linux-gcc
C++:选择/opt/hisi-linux/x86-arm/arm-hisiv200-linux/target/bin/arm-hisiv200-linux-g++

修改安装目录：CMAKE_INSTALL_PREFIX:/opt/2.4.9-arm-hisiv200

(2) opencv编译OPENEXR时要用到libImath.so，

在配置界面要把build_opencvxr和with_opencvxr去掉，否则会出现这个问题。

/usr/lib/libImath.so: could not read symbols: File in wrong format

collect2: ld returned 1 exit status

make[2]: *** [lib/libopencv_highgui.so] 错误 1

make[1]: *** [modules/highgui/CMakeFiles/opencv_highgui.dir/all] 错误 2 make: *** [all] 错误 2

还要去掉build_opencv_ocl和with_opencl,否则会出下面的错误

../../lib/libopencv_ocl.so:undefined reference to 'dlopen'

还要去掉tiff库的编译

（3）修改默认安装路径，默认安装目录为/usr/local，但我想对它统一归类，所以我在opt/目录下新建了一个opencv249文件夹，在Cmake-gui里修改CMAKE_INSTALL_PREFIX变量改为/opt/opencv249/hisi

（4）修改hisiv200_build目录下的CMakeCache.txt，CMAKE_EXE_LINKER_FLAGS原来为空，加上-lpthread -lrt

4、进行编译：make

5、make install

这样就移植完成

二、arm-hisiv100-linux-g++交叉编译链

Ubuntu10.04

OpenCV-2.4.2

步骤与上述一致。

三、配置编译环境

1、进入/opt/opencv249/hisi目录下，建立pkgconfig目录，进入目录建立hisiv200-opencv249.pc文件 #gedit hisiv200-opencv249.pc点击打开链接

2、编辑库连接配置文件

#gedit /etc/ld.so.conf/hisiv200-opencv249.pc

在文档中加入/opt/opencv249/hisi/lib

然后启用配置sudo ldconfig

3、配置PKG_CONFIG_PATH

#gedit /etc/bash.bashrc

在文档最后加入export PKG_CONFIG_PATH=/opt/opencv249/hisi:$PKG_CONFIG_PATH

#source /etc/bash/bashrc

4、测试#pkg-config --libs --cflags hisiv200-opencv249

会显示相应的头文件和库即可

四、编译程序

注意：embedded linux不支持OpenCV自己的Highgui，所以不能在目标板上使用cvNameWidow(),cvWaitKey(),cvShowImage()等显示函数，但是可以利用里面的cvLoad()等函数。

本人写了一个脚本文件，与要编译的文件放在同一目录下，直接./ ******，就可以编译C和C++源文件，点击打开链接

注意：要在该脚本文件中加上-static。否则在hisi上无法运行。

如果出现cv异常之类的错误，就是使用了cvNameWidow(),cvWaitKey(),cvShowImage()等显示函数

opencv320在3519上的移植

1、修改opencv-3.2.0/platforms/linux/arm-gnueabi.toolchain.cmake，如下：

set(CMAKE_SYSTEM_NAME Linux)
set(CMAKE_SYSTEM_VERSION 1)
set(CMAKE_SYSTEM_PROCESSOR arm-hisiv500-linux-gnueabi)

set(GCC_COMPILER_VERSION "4.9" CACHE STRING "GCC Compiler version")

set(FLOAT_ABI_SUFFIX "")
if (NOT SOFTFP)
    set(FLOAT_ABI_SUFFIX "hf")
endif()

 #CROSS COMPILE SETTING
set(TOOLCHAIN_DIR "/opt/hisi-linux/x86-arm/arm-hisiv500-linux/")
set(CMAKE_C_COMPILER "/opt/hisi-linux/x86-arm/arm-hisiv500-linux/bin/arm-hisiv500-linux-uclibcgnueabi-gcc")
set(CMAKE_CXX_COMPILER "/opt/hisi-linux/x86-arm/arm-hisiv500-linux/bin/arm-hisiv500-linux-uclibcgnueabi-g++")
set(CMAKE_FIND_ROOT_PATH /opt/hisi-linux/ /opt/hisi-linux/x86-arm/arm-hisiv500-linux/)
set(ARM_LINUX_SYSROOT /opt/hisi-linux/x86-arm/arm-hisiv500-linux/ CACHE PATH "ARM cross compile system root")

MESSAGE(STATUS "This is cross compile dir --->"$(CMAKE_C_COMPILER))




#find_program(CMAKE_C_COMPILER NAMES arm-linux-gnueabi${FLOAT_ABI_SUFFIX}-gcc-${GCC_COMPILER_VERSION})
#find_program(CMAKE_CXX_COMPILER NAMES arm-linux-gnueabi${FLOAT_ABI_SUFFIX}-g++-${GCC_COMPILER_VERSION})
#set(ARM_LINUX_SYSROOT /usr/arm-linux-gnueabi${FLOAT_ABI_SUFFIX} CACHE PATH "ARM cross compilation system root")

#set(CMAKE_CXX_FLAGS           ""                    CACHE STRING "c++ flags")
#set(CMAKE_C_FLAGS             ""                    CACHE STRING "c flags")
#set(CMAKE_SHARED_LINKER_FLAGS ""                    CACHE STRING "shared linker flags")
#set(CMAKE_MODULE_LINKER_FLAGS ""                    CACHE STRING "module linker flags")
#set(CMAKE_EXE_LINKER_FLAGS    "-Wl,-z,nocopyreloc"  CACHE STRING "executable linker flags")

set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mthumb -fdata-sections -Wa,--noexecstack -fsigned-char -Wno-psabi")
set(CMAKE_C_FLAGS   "${CMAKE_C_FLAGS} -mthumb -fdata-sections -Wa,--noexecstack -fsigned-char -Wno-psabi")

set(CMAKE_SHARED_LINKER_FLAGS "-Wl,--fix-cortex-a8 -Wl,--no-undefined -Wl,--gc-sections -Wl,-z,noexecstack -Wl,-z,relro -Wl,-z,now ${CMAKE_SHARED_LINKER_FLAGS}")
set(CMAKE_MODULE_LINKER_FLAGS "-Wl,--fix-cortex-a8 -Wl,--no-undefined -Wl,--gc-sections -Wl,-z,noexecstack -Wl,-z,relro -Wl,-z,now ${CMAKE_MODULE_LINKER_FLAGS}")
set(CMAKE_EXE_LINKER_FLAGS    "-Wl,--fix-cortex-a8 -Wl,--no-undefined -Wl,--gc-sections -Wl,-z,noexecstack -Wl,-z,relro -Wl,-z,now ${CMAKE_EXE_LINKER_FLAGS}")

if(USE_NEON)
  message(WARNING "You use obsolete variable USE_NEON to enable NEON instruction set. Use -DENABLE_NEON=ON instead." )
  set(ENABLE_NEON TRUE)
elseif(USE_VFPV3)
  message(WARNING "You use obsolete variable USE_VFPV3 to enable VFPV3 instruction set. Use -DENABLE_VFPV3=ON instead." )
  set(ENABLE_VFPV3 TRUE)
endif()

#set(CMAKE_FIND_ROOT_PATH ${CMAKE_FIND_ROOT_PATH} ${ARM_LINUX_SYSROOT})

if(EXISTS ${CUDA_TOOLKIT_ROOT_DIR})
    set(CMAKE_FIND_ROOT_PATH ${CMAKE_FIND_ROOT_PATH} ${CUDA_TOOLKIT_ROOT_DIR})
endif()

set( CMAKE_SKIP_RPATH TRUE CACHE BOOL "If set, runtime paths are not added when using shared libraries." )
set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)
set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM ONLY)

# macro to find programs on the host OS
macro( find_host_program )
 set( CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER )
 set( CMAKE_FIND_ROOT_PATH_MODE_LIBRARY NEVER )
 set( CMAKE_FIND_ROOT_PATH_MODE_INCLUDE NEVER )
 if( CMAKE_HOST_WIN32 )
  SET( WIN32 1 )
  SET( UNIX )
 elseif( CMAKE_HOST_APPLE )
  SET( APPLE 1 )
  SET( UNIX )
 endif()
 find_program( ${ARGN} )
 SET( WIN32 )
 SET( APPLE )
 SET( UNIX 1 )
 set( CMAKE_FIND_ROOT_PATH_MODE_PROGRAM ONLY )
 set( CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY )
 set( CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY )
endmacro()

# macro to find packages on the host OS
macro( find_host_package )
 set( CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER )
 set( CMAKE_FIND_ROOT_PATH_MODE_LIBRARY NEVER )
 set( CMAKE_FIND_ROOT_PATH_MODE_INCLUDE NEVER )
 if( CMAKE_HOST_WIN32 )
  SET( WIN32 1 )
  SET( UNIX )
 elseif( CMAKE_HOST_APPLE )
  SET( APPLE 1 )
  SET( UNIX )
 endif()
 find_package( ${ARGN} )
 SET( WIN32 )
 SET( APPLE )
 SET( UNIX 1 )
 set( CMAKE_FIND_ROOT_PATH_MODE_PROGRAM ONLY )
 set( CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY )
 set( CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY )
endmacro()

2、在opencv-3.2.0/platforms/linux/下建立执行cmake的路径:build_softfp，建立好编译后的安装路径：install_dir

3、进入build_softfp，并执行

cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=../install_dir/ -D SOFTFP=ON -D ENABLE_NEON=ON -D CMAKE_TOOLCHAIN_FILE=../arm-gnueabi.toolchain.cmake ../../../

然后make，make install

4、编写测试程序

在opencv-3.2.0/platforms/linux/建立test目录，进入test，

opencv_hisi.c

#include <opencv/cv.h>
#include <opencv/highgui.h>
#include <stdio.h>

int main( int argc, char** argv )
{
    IplImage* pImg; // 声明IplImage指针
    // 载入图像，强制转化为Gray
    if( argc == 3 && (pImg = cvLoadImage( argv[1], 0)) != 0 )
    {
        IplImage* pImg2 = cvCreateImage(cvGetSize(pImg), pImg->depth, pImg->nChannels);
        cvCopy(pImg, pImg2, NULL);
        cvSaveImage(argv[2], pImg2);// 把图像写入文件
        cvReleaseImage( &pImg );    // 释放图像
        cvReleaseImage( &pImg2 );   // 释放图像
        printf("Success！\n");
        return 0;
    }
    printf("Fail！\n");
    return -1;
}

Makefile:

CC = arm-hisiv500-linux-g++

DEMOTAR = opencv_hisi
DEMOOBJ = opencv_hisi.o

CFLAGS += -g -Wall -I$(shell pwd)/../_install/include
LDFLAGS += -L$(shell pwd)/../_install/lib -Wl,-Bdynamic -lopencv_core -lopencv_highgui -lopencv_imgproc -lopencv_imgcodecs -lpthread -lrt

%.o: %.c
    @echo "[Compiling] $< ..."
    @$(CC) $(CFLAGS) -c $<

all: $(DEMOTAR)

$(DEMOTAR):$(DEMOOBJ)
    @$(CC) -o $@ $^ $(LDFLAGS)

.PHONY : clean
clean:
    rm -rf $(DEMOOBJ) $(DEMOTAR)

将对应so库放入hisi3519中，然后执行

./opencv_hisi lena.jpg lena_test.jpg