交叉编译并移植opencv3.0.0到arm板

问题

项目需求，交叉编译opencv，并移植到arm中。

在opencv2.0以上的版本编译都要借助于cmake工具生成Makefile

2.0一下版本才是使用configure生成Makefile

请确保宿主机已经安装cmake和cmake-gui工具，如果请自行安装

sudo apt-get install cmake cmake-qt-gui  cmake-curses-gui

开发环境

开宿主机：Fedora9.0

交叉编译器：友善之臂arm-linux-gcc4.4.3

自动化编译工具: cmake version 2.8.12.2

编译

下载opencv源代码

项目官网：http://opencv.org/

下载地址：http://opencv.org/downloads.html

源码我放置在自己目录的/opencv/opev3.0.0-src 下

期望的构建目录在/opencv/opencv3-build 下

期望的安装目录是/opt/arm/opencv/opencv3-arm

cmake配置生成makefile

运行cmake的图形化工具cmake-gui

sudo cmake-gui

选择源代码目录/opencv/opev3.0.0-src

选择Build目录/opencv/opencv3-build，大家根据自己设置配置编译目录

点击Configure或者Generator

选择Unix Makefiles，

接着选择Specify options for cross-compiling，

点击Next，接着开始配置交叉编译环境的信息

Operating System填写arm-inux

C Compilers填写您交叉编译器arm-linux-gcc命令的地址

C++ Compilers填写arm-linux-g++的地址

程序库的Target Root填写交叉编译器的bin目录，

然后点击Finish，您的配置信息就出来的

注意默认的安装路径为 修改默认配置，默认安装目录为/usr/local

但是我们交叉编译的来说并不合适，这样会替换我们宿主机上原有的库，

所以我把CMAKE_INSTALL_PREFIX变量改为/opt/arm/opencv/opencv3-arm

好了最后点击Configure进行配置，然后点击Gennerate就会生成Makefile

make编译并且安装

sudo make

sudo make install 

出现问题

我们刚才的配置其实肯定是有问题的，因为一堆依赖库没有配置链接参数，但是我们又不知道需要哪些库，所以我们只能等待出现问题进行解决。

pthread

报错

Linking CXX executable ../../bin/opencv_test_calib3d

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

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

../../lib/libopencv_ts.so: undefined reference to `pthread_key_delete'

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

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

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

很明显是pthread的库，

解决

修改/opt/opencv3-build目录下的CMakeCache.txt

CMAKE_EXE_LINKER_FLAGS原来为空，加上-lpthread -lrt

dlfcn

问题

undefined reference to `dlerror'

undefined reference to `dlopen'

解决

CMAKE_EXE_LINKER_FLAGS继续加上-ldl

parallel_pthreads_set_threads_num

问题

undefined reference to `dlerror'

undefined reference to `dlopen'

Linking CXX executable ../../bin/opencv_perf_core

../../lib/libopencv_core.so: undefined reference to `parallel_pthreads_set_threads_num(int)'

../../lib/libopencv_core.so: undefined reference to `parallel_pthreads_get_threads_num()'

../../lib/libopencv_core.so: undefined reference to `parallel_for_pthreads(cv::Range const&, cv::ParallelLoopBody const&, double)'

解决

这个是编译工具链的问题，解决了快一天

后来重要找到了解决方案Fixed compilation of pthread-based parallel_for with gcc 4.4.3

修改modules/core/src/parallel.cpp，自132行开始添加7处删除5处（+表示要添加，-表示要删除）

 namespace cv

 {

     ParallelLoopBody::~ParallelLoopBody() {}

+#if defined HAVE_PTHREADS && HAVE_PTHREADS

+    void parallel_for_pthreads(const cv::Range& range, const cv::ParallelLoopBody& body, double nstripes);

+    size_t parallel_pthreads_get_threads_num();

+    void parallel_pthreads_set_threads_num(int num);

+#endif

 }

+

 namespace

 {

 #ifdef CV_PARALLEL_FRAMEWORK

 @@ -301,7 +307,7 @@ void cv::parallel_for_(const cv::Range& range, const cv::ParallelLoopBody& body,

         }

 #elif defined HAVE_PTHREADS

-        void parallel_for_pthreads(const Range& range, const ParallelLoopBody& body, double nstripes);

+

         parallel_for_pthreads(range, body, nstripes);

 #else

 @@ -361,8 +367,6 @@ int cv::getNumThreads(void)

 #elif defined HAVE_PTHREADS

-        size_t parallel_pthreads_get_threads_num();

-

         return parallel_pthreads_get_threads_num();

 #else

 @@ -424,8 +428,6 @@ void cv::setNumThreads( int threads )

 #elif defined HAVE_PTHREADS

-    void parallel_pthreads_set_threads_num(int num);

-

     parallel_pthreads_set_threads_num(threads);

 #endif