Opencv3.1.0移植/人脸识别

opencv3.1.0移植到7688

修改/home/xl/OpenCV/opencv-3.1.0/platforms/linux目录下的

arm-gnueabi.toolchain.cmake这个文件，为了区分其它的配置文件我改名为arm-gnueabi_7688.toolchain.cmake，

修改后如下：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image002.jpg

为方便管理创建opencv_7688目录,在它下面再创建两个目录

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image004.jpg

进入7688_build_dir 目录执行下面这条命令

$ cmake -D CMAKE_BUILD_TYPE=Release-D CMAKE_INSTALL_PREFIX=../7688_install_dir/ -D SOFTFP=ON -D ENABLE_NEON=ON -DCMAKE_TOOLCHAIN_FILE=../../arm-gnueabi_7688.toolchain.cmake ../../../../

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image006.jpg

注意路径要对应，最后面是源码目录

正常结束如下：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image008.jpg

之后在当前目录下多了许多文件如下：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image010.jpg

前面只是配置还不真正编译，执行make开始编译

移植opencv3.1.0到gk8602

修改/home/xl/OpenCV/opencv-3.1.0/platforms/linux目录下的

arm-gnueabi.toolchain.cmake这个文件，修改如下

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image012.jpg

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image014.jpg

然后在当前目录下创建两个文件夹，gk8602_build_dir，gk8602_install_dir，

进入gk8602_build_dir目录执行如下一条命令

cmake -DCMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=../ gk8602_install_dir / -DSOFTFP=ON -D ENABLE_NEON=ON -DCMAKE_TOOLCHAIN_FILE=../arm-gnueabi.toolchain.cmake ../../../  

之后会在当前目录下生成许多文件及目录，如下图：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image016.jpg

再执行make命令进行编译，make install 安装（会自动安装到gk8602_install_dir目录，这里的内容是要放到开发板上去的）

为方便管理，在linux目录下创建一个gk_test目录，如下

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image018.jpg

进入gk_test目录编写cpp文件

$vim  LoadImage.cpp

#include <iostream>

#include <string>

#include <opencv2/opencv.hpp>

using namespace std;

using namespace cv;

int main(int argc,char* argv[]){

    string path="/home/zzz/facedata/lena.jpg";

     Mat image = imread(path, 1 );

     if(image.isContinuous()){

         cout<<"read picture successfully!"<<endl;

     }else{

         cout<<"fail to read picture!"<<endl;

     }

     return 0;

}

再编写CMakeLists.txt文件如下：

# this is required

set(CMAKE_SYSTEM_NAME Linux)

#注意文件对应的路径别弄错了

set(CMAKE_FIND_ROOT_PATH/opt/goke/ct_glibc/4.6.1/usr/ /opt/goke/ct_glibc/4.6.1/usr)

set(ARM_LINUX_SYSROOT/opt/goke/ct_glibc/4.6.1/usr/ CACHE PATH "ARM cross compile systemroot")

# search for programs in the buildhost directories (not necessary)

SET(CMAKE_FIND_ROOT_PATH_MODE_PROGRAMNEVER)

# for libraries and headers inthe target directories

SET(CMAKE_FIND_ROOT_PATH_MODE_LIBRARYONLY)

SET(CMAKE_FIND_ROOT_PATH_MODE_INCLUDEONLY)

set(TOOLCHAIN_DIR"/opt/goke/ct_glibc/4.6.1/usr/")

set(CMAKE_C_COMPILER"/opt/goke/ct_glibc/4.6.1/usr/bin/arm-goke-linux-gnueabi-gcc")

set(CMAKE_CXX_COMPILER"/opt/goke/ct_glibc/4.6.1/usr/bin/arm-goke-linux-gnueabi-g++")

set(CMAKE_VERBOSE_MAKEFILE ON)

cmake_minimum_required(VERSION2.8)

project( LoadImage )

set(OpenCV_DIR/home/xl/OpenCV/opencv-3.1.0/platforms/linux/gk8602_build_dir/)

include_directories(/home/xl/OpenCV/opencv-3.1.0/platforms/linux/gk8602_install_dir/include)

#set(OpenCV_DIR /home/zzz/software/opencv-2.4.9/release)

#include_directories(/home/zzz/software/opencv-2.4.9/build/include)

find_package( OpenCV REQUIRED )

add_executable( LoadImageLoadImage.cpp )

target_link_libraries(LoadImage ${OpenCV_LIBS} )

再执行cmake. 如下：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image020.jpg

执行后如下：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image022.jpg

编译时出错如下：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image024.jpg

于是修改CMakeCache.txt加下下面一个标志

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image026.jpg

加了上面的内容后再make如下提示：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image028.jpg

修改CMakeLists.txt如下，直接指定库的路径

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image030.jpg

再编译出错：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image032.jpg

用ar –t命令查看下库里面包含的文件，再用ar –x 把库里的文件取出来，看下是什么格式，如下：

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image034.jpg

发现库的是x86_64的，而我们要用在开发板上应该是这种格式才行

file:///C:/Users/Administrator/AppData/Local/Temp/msohtmlclip1/01/clip_image036.jpg

移植opencv3.1.0到hi3516a

参考文章：

一、交叉编译opencv3.1.0

1、修改cmake文件
在源码的platforms下已经有对各平台的交叉编译支持，我们只需要做一些简单的修改。

[zzz@localhostplatforms]$ pwd

/home/zzz/software/opencv-3.1.0/platforms

[zzz@localhostplatforms]$ ll

total 28

drwxr-xr-x. 4 zzz zzz 4096 Dec 18 23:02 android

drwxr-xr-x. 3 zzz zzz 4096 Dec 18 23:02 ios

drwxr-xr-x. 4 zzz zzz 4096 Jan 22 17:24 linux

drwxr-xr-x. 2 zzz zzz 4096 Dec 18 23:02 osx

-rw-r--r--. 1 zzz zzz  323 Dec 18 23:02 readme.txt

drwxr-xr-x. 2 zzz zzz 4096 Dec 18 23:02 scripts

drwxr-xr-x. 2 zzz zzz 4096 Dec 18 23:02 winrt

我们的目标是交叉编译到arm上，那么就进入到linux下：

[zzz@localhost linux]$ pwd

/home/zzz/software/opencv-3.1.0/platforms/linux

[zzz@localhost linux]$ ll

total 20

-rw-r--r--.  1 zzz zzz 4196 Jan22 16:35arm-gnueabi.toolchain.cmake

...

arm-gnueabi.toolchain.cmake指明了交叉编译的一些路径等设置，我们根据实际情况对其进行适当修改：

set(CMAKE_SYSTEM_NAMELinux)

set(CMAKE_SYSTEM_VERSION1)

set(CMAKE_SYSTEM_PROCESSORarm-hisiv300-linux-gnueabi)

set(GCC_COMPILER_VERSION"4.6" CACHE STRING "GCCCompiler version")

set(FLOAT_ABI_SUFFIX"")

if (NOT SOFTFP)

    set(FLOAT_ABI_SUFFIX"hf")

endif()

#CROSS COMPILESETTING

set(TOOLCHAIN_DIR"/opt/hisi-linux/x86-arm/arm-hisiv300-linux/")

set(CMAKE_C_COMPILER"/opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-gcc")

set(CMAKE_CXX_COMPILER"/opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-g++")

set(CMAKE_FIND_ROOT_PATH/opt/hisi-linux/ /opt/hisi-linux/x86-arm/arm-hisiv300-linux/)

set(ARM_LINUX_SYSROOT/opt/hisi-linux/x86-arm/arm-hisiv300-linux/ CACHE PATH "ARM cross compile system root")

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

#find_program(CMAKE_C_COMPILER NAMESarm-linux-gnueabi${FLOAT_ABI_SUFFIX}-gcc-${GCC_COMPILER_VERSION})

#find_program(CMAKE_CXX_COMPILER NAMESarm-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 systemroot")

#set(CMAKE_CXX_FLAGS          ""                    CACHESTRING "c++ flags")

#set(CMAKE_C_FLAGS            ""                    CACHESTRING "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 NEONinstruction set. Use -DENABLE_NEON=ON instead." )

  set(ENABLE_NEONTRUE)

elseif(USE_VFPV3)

  message(WARNING "You use obsolete variable USE_VFPV3 to enable VFPV3instruction set. Use -DENABLE_VFPV3=ON instead." )

  set(ENABLE_VFPV3TRUE)

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 "Ifset, runtime paths are not added when using shared libraries." )

set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDEONLY)

set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARYONLY)

set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAMONLY)

# 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、交叉编译
设置好了以后，开始进行交叉编译：
建立好执行cmake的路径:build_softfp，建立好编译后的安装路径：install_dir

[zzz@localhost linux]$ ll

total 20

-rw-r--r--.  1 zzz zzz4196 Jan 22 16:35 arm-gnueabi.toolchain.cmake

drwxrwxr-x. 15 zzz zzz4096 Jan 22 16:38 build_softfp

drwxrwxr-x.  6 zzz zzz4096 Jan 22 15:51 install_dir

执行：

[zzz@localhost build_softfp]$ pwd

/home/zzz/software/opencv-3.1.0/platforms/linux/build_softfp

[zzz@localhost build_softfp]$ cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=../install_dir/ -D SOFTFP=ON -DENABLE_NEON=ON -DCMAKE_TOOLCHAIN_FILE=../arm-gnueabi.toolchain.cmake ../../../

等待10几分钟。

之后还要执行make ,makeinstall,完成，再执行下面的测试

二、编写测试程序

1、程序内容
简单测试对图片的加载：

#include <iostream>

#include <string>

#include <opencv2/opencv.hpp>

using namespace std;

using namespace cv;

int main(int argc,char*argv[]){

   string path="/home/zzz/facedata/lena.jpg";

    Mat image = imread( path, 1 );

    if(image.isContinuous()){

         cout<<"read picture successfully!"<<endl;

    }else{

         cout<<"fail to read picture!"<<endl;

    }

    return 0;

}

2、编译
CMakeLists.txt:

# this is required

set(CMAKE_SYSTEM_NAME Linux)

set(CMAKE_FIND_ROOT_PATH /opt/hisi-linux/ /opt/hisi-linux/x86-arm/arm-hisiv300-linux/)

set(ARM_LINUX_SYSROOT/opt/hisi-linux/x86-arm/arm-hisiv300-linux/ CACHE PATH "ARM cross compile system root")

# search for programs in the build host directories (notnecessary)

SET(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)

# for libraries and headers in the target directories

SET(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)

SET(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)

set(TOOLCHAIN_DIR "/opt/hisi-linux/x86-arm/arm-hisiv300-linux/")

set(CMAKE_C_COMPILER "/opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-gcc")

set(CMAKE_CXX_COMPILER "/opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-g++")

set(CMAKE_VERBOSE_MAKEFILE ON)

cmake_minimum_required(VERSION 2.8)

project( LoadImage )

set(OpenCV_DIR /home/zzz/software/opencv-3.1.0/platforms/linux/build_softfp/)

include_directories(/home/zzz/software/opencv-3.1.0/platforms/linux/install_dir/include)

#set(OpenCV_DIR /home/zzz/software/opencv-2.4.9/release)

#include_directories(/home/zzz/software/opencv-2.4.9/build/include)

find_package( OpenCV REQUIRED )

add_executable( LoadImage LoadImage.cpp )

target_link_libraries( LoadImage ${OpenCV_LIBS} )

可以把上半部分的内容抽取出来，作为交叉编译的指示文件：

# this is required

set(CMAKE_SYSTEM_NAMELinux)

set(CMAKE_FIND_ROOT_PATH/opt/hisi-linux/ /opt/hisi-linux/x86-arm/arm-hisiv300-linux/)

set(ARM_LINUX_SYSROOT/opt/hisi-linux/x86-arm/arm-hisiv300-linux/ CACHE PATH "ARM cross compile system root")

# search for programs in the build host directories (not necessary)

SET(CMAKE_FIND_ROOT_PATH_MODE_PROGRAMNEVER)

# for libraries and headers in the target directories

SET(CMAKE_FIND_ROOT_PATH_MODE_LIBRARYONLY)

SET(CMAKE_FIND_ROOT_PATH_MODE_INCLUDEONLY)

set(TOOLCHAIN_DIR"/opt/hisi-linux/x86-arm/arm-hisiv300-linux/")

set(CMAKE_C_COMPILER"/opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-gcc")

set(CMAKE_CXX_COMPILER"/opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-g++")

set(CMAKE_VERBOSE_MAKEFILEON)

执行如下：

[zzz@localhost basictest]$ cmake .

-- The C compiler identification is GNU 4.8.3

-- The CXX compiler identification is GNU 4.8.3

-- Check for working C compiler: /opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-gcc

-- Check for working C compiler: /opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-gcc-- works

-- Detecting C compiler ABI info

-- Detecting C compiler ABI info - done

-- Check for working CXX compiler: /opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-g++

-- Check for working CXX compiler: /opt/hisi-linux/x86-arm/arm-hisiv300-linux/bin/arm-hisiv300-linux-uclibcgnueabi-g++-- works

-- Detecting CXX compiler ABI info

-- Detecting CXX compiler ABI info - done

-- Configuring done

-- Generating done

-- Build files have been written to:/home/zzz/workspace/arm-opencv3.1.0/src/basictest

[zzz@localhost basictest]$ make

Scanning dependencies of targetLoadImage

[100%] Building CXX objectCMakeFiles/LoadImage.dir/LoadImage.cpp.o

Linking CXX executable LoadImage

[100%] Built target LoadImage

[zzz@localhost basictest]$

三、在板上运行
需要设置好LD_LIBRARY_PATH，使其也指向一开始生成的opencv的库文件路径，或者直接将这些库拷贝到LD_LIBRARY_PATH指定的当前路径中。

四、问题
一开始没有设定好cmake的交叉编译设置，导致在编译测试程序的时候，使用的是系统的c++编译器在编译链接，结果提示无法读取opencv的so的符号等。所以对cmake的设置要在实践中慢慢掌握全面一些。

后记（2016-1-28）：
由于使用的板子有浮点运算单元以及neon，但是上面的编译脚本没有使用相关的参数，包括编译opencv的库以及编译自己的执行程序时都没有用上。因此，编译出来的程序没有用上硬件浮点单元的特性。需要进行修改：
1、修改opencv的交叉编译脚本
主要是设置:

27

28 set(CMAKE_CXX_FLAGS           "-mthumb -mcpu=cortex-a7 -mfloat-abi=softfp-mfpu=neon-vfpv4 -mno-unaligned-access -fno-aggressi    ve-loop-optimizations"    CACHE STRING "c++ flags")

29 set(CMAKE_C_FLAGS             "${CMAKE_CXX_FLAGS}"                    CACHE STRING "c flags")

30 set(CMAKE_SHARED_LINKER_FLAGS"${CMAKE_CXX_FLAGS}"                    CACHE STRING "shared linkerflags")

31 set(CMAKE_MODULE_LINKER_FLAGS"${CMAKE_CXX_FLAGS}"                    CACHE STRING "module linkerflags")

32 set(CMAKE_EXE_LINKER_FLAGS    "${CMAKE_CXX_FLAGS}-Wl,-z,nocopyreloc"  CACHE STRING "executable linker flags")

33

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

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

36

37 #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}")

38 #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}")

39 #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}")

40

我这里只需要生成so，是否只需要设置CMAKE_SHARED_LINKER_FLAGS这个就可以了？

2、编译出来的so的情况：

[zzz@localhost build_softfp]$ cmake-D CMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=../install_dir/ -D SOFTFP=ON-DENABLE_NEON=ON -DCMAKE_TOOLCHAIN_FILE=../arm-gnueabi.toolchain.cmake ../../../

[zzz@localhost build_softfp]$ readelf-a lib/libopencv_imgproc.so.2.4.9

...

Attribute Section: aeabi

File Attributes

Tag_CPU_name: "Cortex-A7"

Tag_CPU_arch: v7

Tag_CPU_arch_profile: Application

Tag_ARM_ISA_use: Yes

Tag_THUMB_ISA_use: Thumb-2

Tag_FP_arch: VFPv4

Tag_Advanced_SIMD_arch: NEONv1 with Fused-MAC

Tag_ABI_PCS_wchar_t: 4

Tag_ABI_FP_denormal: Needed

Tag_ABI_FP_exceptions: Needed

Tag_ABI_FP_number_model: IEEE 754

Tag_ABI_align_needed: 8-byte

Tag_ABI_enum_size: int

Tag_ABI_HardFP_use: SP and DP

Tag_CPU_unaligned_access: v6

Tag_MPextension_use: Allowed

Tag_DIV_use: Allowed in v7-A with integer division extension

Tag_Virtualization_use: TrustZone andVirtualization Extensions

[zzz@localhost build_softfp]$

·         

我加了一个-DENABLE_NEON=ON，不加也可以。

3、修改执行程序的脚本
在toolchainfile里增加：

set(CMAKE_CXX_FLAGS          "-mthumb -mcpu=cortex-a7-mfloat-abi=softfp -mfpu=neon-vfpv4 -mno-unaligned-access-fno-aggressive-loop-optimizations"    CACHE STRING "c++ flags")

set(CMAKE_C_FLAGS            "${CMAKE_CXX_FLAGS}"                    CACHE STRING "c flags")

set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_CXX_FLAGS}"                    CACHE STRING "shared linkerflags")

set(CMAKE_MODULE_LINKER_FLAGS "${CMAKE_CXX_FLAGS}"                    CACHE STRING "module linkerflags")

set(CMAKE_EXE_LINKER_FLAGS   "${CMAKE_CXX_FLAGS}-Wl,-z,nocopyreloc"  CACHE STRING "executable linker flags")

经过测试，其实不设置CMAEK_CXX_FLAGS,CMAKE_C_FLAGS及其他，只设置CMAKE_EXE_LINKER_FLAGS，都能达到目标。
产生的exe的情况：

Attribute Section: aeabi

File Attributes

Tag_CPU_name: "Cortex-A7"

Tag_CPU_arch: v7

Tag_CPU_arch_profile: Application

Tag_ARM_ISA_use: Yes

Tag_THUMB_ISA_use: Thumb-2

Tag_FP_arch: VFPv4

Tag_Advanced_SIMD_arch: NEONv1 with Fused-MAC

Tag_ABI_PCS_wchar_t: 4

Tag_ABI_FP_denormal: Needed

Tag_ABI_FP_exceptions: Needed

Tag_ABI_FP_number_model: IEEE 754

Tag_ABI_align_needed: 8-byte

Tag_ABI_enum_size: int

Tag_ABI_HardFP_use: SP and DP

Tag_CPU_unaligned_access: v6

Tag_MPextension_use: Allowed

Tag_DIV_use: Allowed in v7-A with integer division extension

Tag_Virtualization_use: TrustZone andVirtualization Extensions