opencv2.4.2移植到ARM中

原文地址：opencv2.4.2移植到ARM中作者：elvis
一、编译环境及库文件

linux环境：fedora14

交叉编译：4.5.1

arm板子：tiny6410

libz:

zlib-1.2.7

libjpeg:

jpegsrc.v7

libpng:

libpng-1.5.10

libyasm:

yasm-1.2.0

opencv:

opencv-2.4.2

libx264:

x264-snapshot-20120608-2245

libxvid:

xvidcore-1.3.2

lffmpeg:

ffmpeg-0.10.3

cmake:
cmake-2.8.8-Linux-i386.tar,gz

二、opencv-2.4.1的移植过程

1、libz的交叉编译：

# ./configure
--prefix=/opt/FriendlyARM/toolschain/4.5.1/arm-none-linux-gnueabi
--shared

修改makefile

CC=arm-linux-gcc

AR=arm-linux-ar rc

RANLIB=arm-linux-ranlib

CDSHARED=arm-linux-gcc -shared -wl,
-soname,libz.so.1,--version-script,zl

lib.map

#make

#make install

2、libjpeg的交叉编译：

#./configure --host=arm-linux
--prefix=/opt/FriendlyARM/toolschain/4.5.1/arm-none-linux-gnueabi
--enable-shared --enable-static

#make install

3、libpng的交叉编译

#./configure --host=arm-linux
--prefix=/opt/FriendlyARM/toolschain/4.5.1/arm-none-linux-gnueabi
--enable-shared --enable-static

#make

#make install

4、yasm的交叉编译:

#./configure --host=arm-linux
--prefix=/opt/FriendlyARM/toolschain/4.5.1/arm-none-linux-gnueabi
--enable-shared --enable-static

#make

#make install

5、libx264的交叉编译:

#CC=arm-linux-gcc ./configure --enable-shared --host=arm-linux
--disable-asm
--prefix=/opt/FriendlyARM/toolschain/4.5.1/arm-none-linux-gnueabi

#make

#make install

6、libxvid的交叉编译:

#cd build/generic

#./configure
--prefix=/opt/FriendlyARM/toolschain/4.5.1/arm-none-linux-gnueabi
--host=arm-linux --disable-assembly

#make

#make install

7、ffmpeg的交叉编译:

#./configure
--prefix=/opt/FriendlyARM/toolschain/4.5.1/arm-none-linux-gnueabi
--enable-shared --disable-static --enable-gpl
--enable-cross-compile --arch=arm --disable-stripping
--target-os=linux --enable-libx264 --enable-libxvid
--cc=arm-linux-gcc --enable-swscale

#make

#make install

8.cmake-gui安装

到官网上下载已经编译好的cmake-2.8.8-Linux-i386.tar,gz，解压就可以了



9、opencv2.4.1的交叉编译:

用到的主要目录说明：

交叉编译工具链所在目录
/opt/FriendlyARM/toolschain/4.5.1/

安装opencv的目录 /usr/local/

opencv源码所在目录 /home/6410/opencv/opencv-2.4.2/

编译好的opencv库所在目录 /home/6410/opencv/opencv-2.4.2/build

#mkdir build

#cd build

#cmake-gui

选择源代码目录/home/6410/opencv/opencv-2.4.2/

选择Build目录：/home/6410/opencv/opencv-2.4.2/build

点击Configure，保持generator为Unix Makefiles，选择Specify options for
cross-compiling，点击Next,

Operating System填写arm-linux

C
Compilers填写opt/FriendlyARM/toolschain/4.5.1/bin/arm-linux-gcc

C++
Compilers填写opt/FriendlyARM/toolschain/4.5.1//bin/arm-linux-g++

程序库的Target Root填写opt/FriendlyARM/toolschain/4.5.1/

然后点击Finish。

默认安装目录为/usr/local，点击Generate生成Makefile。

#make

错误一：

Linking CXX executable ../../bin/opencv_createsamples

../../lib/libopencv_core.so: undefined reference to
`clock_gettime'

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFerrorHandler'

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFrealloc'

../../lib/libopencv_core.so: undefined reference to
`pthread_key_create

解决方法：

修改CMakeCache.txt，CMAKE_EXE_LINKER_FLAGS原来为空，加上-lpthread
-lrt，重新编译，错误消除

错误二：

Linking CXX executable ../../bin/opencv_createsamples

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFerrorHandler'

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFrealloc'

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFmalloc'

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFmemcpy'

../../lib/libopencv_highgui.so: undefined reference to
`TIFFOpen'

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFfree'

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFwarningHandler'

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFmemcmp'

../../lib/libopencv_highgui.so: undefined reference to
`_TIFFmemset'


解决方法：修改CMakeCache.txt，WITH_TIFF:BOOL=ON，改成OFF，重新编译，错误消除。

#make install

三、测试

测试程序：

#include <cv.h>


#include <cxcore.h>


#include <highgui.h>








int main(int argc,char **argv)

{

CvCapture*
capture = NULL;

IplImage*
frame = NULL;




if(!(capture
= cvCaptureFromCAM(-1)))

{




fprintf(stderr, "Can not open camera./n");




return -1;

}






cvNamedWindow("video", 1);





while(frame
= cvQueryFrame( capture ) )

{




cvShowImage("video", frame);


}






cvDestroyWindow("video");



cvReleaseCapture(&capture);


return 0;


}

编译：

＃arm-linux-g++ -o opencv_test opencv_test.cpp -I /usr/local/include
-L /usr/local/lib -lopencv_core -lopencv_highgui -lpthread
-lrt

单个opencv的make就花了大概1个半小时，终于成功了，但是这只是开始，要想运用opecv+qt+x264+ffmpeg做东西，这还需要更长远的学习啊