在zedboard板子上运行人脸检测例子

由于opencv 的highgui使用GTK在zedboard下没有交叉编译成功，所以本程序使用QT做了个简单的界面，在QT中调用Opencv函数，进行人脸检测。首先建立QT项目，在主界面中加入一个Lable，并设置成一定大小。mainwindow.h 的代码如下

#ifndef MAINWINDOW_H
#define MAINWINDOW_H

#include <QMainWindow>
#include <cv.h>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <QTimer>
#include <QPixmap>
namespace Ui {
class MainWindow;
}

using namespace cv;

class MainWindow : public QMainWindow
{
Q_OBJECT

public:
explicit MainWindow(QWidget *parent = 0);
~MainWindow();

void detectAndDraw( Mat& img, CascadeClassifier& cascade,
double scale);

private:
Ui::MainWindow *ui;

CvCapture *capture;
IplImage *iplImg, *iplImg2;
Mat frame,frameCopy;
QTimer *timer;
double scale ;
string cascadeName ;
CascadeClassifier cascade;

private slots:
void getFrame();
};

#endif // MAINWINDOW_H

mainwindow.cpp 中代码如下

#include "mainwindow.h"
#include "ui_mainwindow.h"
#include <QDebug>

MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
{
qDebug()<<CV_VERSION;
ui->setupUi(this);
timer = new QTimer(this);
capture = cvCaptureFromCAM(0);

scale = 1;
cascadeName = "/home/wjj/workplace/test/lbpcascade_frontalface.xml";

if(!cascade.load(cascadeName)){

qDebug()<<"ERROR: Could not load classifier cascade";

}

if(capture == NULL){

qDebug()<<"ERROR: Capture from CAM didn't work";

}

timer->start(50);

connect(timer,SIGNAL(timeout()),this,SLOT(getFrame()));
}

void MainWindow::getFrame()
{
iplImg =cvQueryFrame(capture);
frame = iplImg;

if(iplImg->origin == IPL_ORIGIN_TL)
frame.copyTo(frameCopy);
else
flip(frame,frameCopy,0);

detectAndDraw(frameCopy,cascade,scale);

}

void MainWindow::detectAndDraw( Mat& img, CascadeClassifier& cascade,
double scale){
double t = 0;
int i=0;
vector<Rect> faces;

Mat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 );

cvtColor( img, gray, CV_BGR2GRAY );
cv::resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );
equalizeHist( smallImg, smallImg );

t = (double)cvGetTickCount();
cascade.detectMultiScale( smallImg, faces,
1.1, 2, 0
//|CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
|CV_HAAR_SCALE_IMAGE
,
Size(30, 30) );

t = (double)cvGetTickCount() - t;
printf( "detection time = %g ms\n", t/((double)cvGetTickFrequency()*1000.) );
for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )
{

rectangle( img, cvPoint(cvRound(r->x*scale), cvRound(r->y*scale)),
cvPoint(cvRound((r->x + r->width-1)*scale), cvRound((r->y + r->height-1)*scale)),
Scalar(CV_RGB(0,0,255)), 1, 8, 0);

}

QImage image = QImage((const uchar*)(img.data), img.cols, img.rows, QImage::Format_RGB888).rgbSwapped();

ui->label->setPixmap(QPixmap::fromImage(image));
}

MainWindow::~MainWindow()
{
timer->stop();
cvReleaseCapture(&capture);

delete ui;
}

在PC上运行该文件时，需要修改后缀为pro的文件加入如下语句INCLUDEPATH +=/usr/local/include/opencv \/usr/local/include/opencv2LIBS += /usr/local/lib/libopencv_core.so\/usr/local/lib/libopencv_highgui.so\/usr/local/lib/libopencv_imgproc.so\/usr/local/lib/libopencv_objdetect.so可以查看下效果。将QT和opencv一起移植到板卡里修改qmake.conf该文件位于所编译的嵌入式QT文件夹下

/opt/zedboard/qt/install/mkspecs/qws/linux-arm-gnueabi-g++/qmake.conf

在此文件中加入

INCLUDEPATH += /opt/zedboard/opencv_zed/opencv-2.4.4/install/include \

/opt/zedboard/opencv_zed/opencv-2.4.4/install/include/opencv \

/opt/zedboard/opencv_zed/opencv-2.4.4/install/include/opencv2

LIBS += /opt/zedboard/opencv_zed/opencv-2.4.4/install/lib/libopencv_highgui.so \

/opt/zedboard/opencv_zed/opencv-2.4.4/install/lib/libopencv_core.so        \

/opt/zedboard/opencv_zed/opencv-2.4.4/install/lib/libopencv_imgproc.s o \

/opt/zedboard/opencv_zed/opencv-2.4.4/install/lib/*.s

这里opencv的链接库是交叉编译好了的链接库运行qmake -projectqmakemake 生成可执行文件