海思移植opencv+車輛檢測

1.確保ubuntu能上網

2.安裝cmake

代碼: 全選

sudo apt-get install cmake-gui

3.下載OpenCV2.4.9 Linux版源碼，不要用最新的3.0.0

http://opencv.org/downloads.html

4.解壓opencv源碼

代碼: 全選

unzip opencv-2.4.9.zip

5.創建一個build目錄用于編譯和一個output目錄用于存放編譯完成后的海思平臺的opencv：

代碼: 全選

xlab@xlab-dev:~/zhouhua/opencv/opencv-2.4.9$ ls

3rdparty? ?? ???LICENSE? ? apps? ?data??include? ? modules? ? samples

CMakeLists.txt??README.md??cmake??doc? ?index.rst??platforms

xlab@xlab-dev:~/zhouhua/opencv/opencv-2.4.9$ cd ..

xlab@xlab-dev:~/zhouhua/opencv$ ls

build??opencv-2.4.9??opencv-2.4.9.zip??output

xlab@xlab-dev:~/zhouhua/opencv$ mkdir build

xlab@xlab-dev:~/zhouhua/opencv$ mkdir output

6.執行cmake-gui

代碼: 全選

xlab@xlab-dev:~/zhouhua/opencv/opencv-2.4.9$ cmake-gui

點擊Browse Source選擇~/zhouhua/opencv/opencv-2.4.9

點擊Browse Build選擇~/zhouhua/opencv/build

然后點擊Configure

此時出現的對話框選擇最后一項：Specify options for cross-compiling

下一步

Operating System填寫arm-hisiv100nptl-linux

C填寫arm-hisiv100nptl-linux-gcc

C++填寫arm-hisiv100nptl-linux-g++

下一步，然后等待Configuration done

然后在出現的列表中修改CMAKE_INSTALL_PREFIX為~/zhouhua/opencv/output

然后點擊Generate

等待Generation done

即可關閉cmake軟件。

7.進入build目錄執行make

代碼: 全選

xlab@xlab-dev:~/zhouhua/opencv/build$ make

提示出錯：

代碼: 全選

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

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

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

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

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

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

修改CMakeCache.txt大約200行處

//Flags used by the linker.

CMAKE_EXE_LINKER_FLAGS:STRING= -lpthread -lrt

繼續make

可能出現如下錯誤

代碼: 全選

CMake Error at /home/xlab/zhouhua/opencv/opencv-2.4.9/cmake/cl2cpp.cmake:50 (string):

string does not recognize sub-command MD5

make[2]: *** [modules/ocl/opencl_kernels.cpp] Error 1

make[1]: *** [modules/ocl/CMakeFiles/opencv_ocl.dir/all] Error 2

make: *** [all] Error 2

刪除/home/xlab/zhouhua/opencv/opencv-2.4.9/cmake/cl2cpp.cmake的第50行的內容即可。

繼續make

完成后執行make install

代碼: 全選

xlab@xlab-dev:~/zhouhua/opencv/output$ ls

LICENSE??bin??include??lib??share

8.得到了include和lib目錄就可以編寫程序了，來試試最常用的車輛檢測吧

編寫如下代碼

代碼: 全選

[cpp] view plain copy

#include"cv.h"

#include"highgui.h"

#include"stdio.h"

/******************fortime?mesurement*************************/

#include

structtimeval?tpstart,tpend;

unsigned?longtimeuses;

voidtimeRec()

{

gettimeofday(&tpstart,0);

}

int?timeRep()

{

gettimeofday(&tpend,0);

timeuses=(tpend.tv_sec-tpstart.tv_sec)*1000000+tpend.tv_usec-tpstart.tv_usec;

printf("use?time:%uus\n",timeuses);

return?timeuses;

}

/********************end**************************************/

int?main(intargc,?char*?argv[])

{

IplImage*?img=?NULL;

CvMemStorage*?storage?=cvCreateMemStorage(0);

CvHaarClassifierCascade*cascade?=?cvLoadHaarClassifierCascade("./model.xml",cvSize(24,24));

//CvHaarClassifierCascade*?cascade?=(CvHaarClassifierCascade*)cvLoad("./lbpcascade_frontalface.xml",?0,0,?0);

CvSeq*?faces;

//加載圖像

img?=?cvLoadImage(argv[1],?0);

printf("img?w=%d?h=%d\n",img->width,?img->height);

//檢測并計時

timeRec();

faces?=?cvHaarDetectObjects(img,cascade,??storage,?1.1,?3,?0,cvSize(24,24)?);

timeRep();

if?(faces->total?==?0){

printf("no?face!\n");

}

printf("car=?%d\n",?faces->total);

//釋放內存

cvReleaseImage(&img);

printf("car?detected!?car.jpg!\n");

}

編譯成功，然后拷貝車輛分類器文件過來。

再找個圖片過來，我這里就用car.jpg了。

將/root/jiang/OpenCV/output/lib下的libopencv_imgproc.so、libopencv_objdetect.so、libopencv_highgui.so和libopencv_core.so復制到u盤，將u盤中這4個動態庫做軟連接庫到/lib目錄下。

代碼: 全選

ln -s /mnt/udisk/libopencv_imgproc.so /lib/libopencv_imgproc.so

ln -s /mnt/udisk/libopencv_objdetect.so /lib/libopencv_objdetect.so

ln -s /mnt/udisk/libopencv_highgui.so /lib/libopencv_highgui.so

ln -s /mnt/udisk/libopencv_core.so /lib/libopencv_core.so

備注：

刪除軟鏈接：

rm -rf ?/lib/libopencv_core.so 注意不是rm -rf ?/lib/libopencv_core.so/

然后到car所在的/mnt/udisk目錄去執行即可：

# ./car car.jpg

img w=686h=398

use time:18323188us

car = 5

cardetected! in car.jpg!

OpenCV 交通智能體

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