haar+svm车辆检测_harr_C++_车辆检测_SVM_源码

#include "stdafx.h" #include <cv.h> #include <highgui.h> #include <Windows.h> #include <time.h> #include <iostream> #pragma comment(lib, "opencv_objdetect246d.lib") using namespace cv; using namespace std; //const char * cascade_name = "E:\\dt\\model.xml";//加载分类器 const char * cascade_name = "D:\\Visual Studio 2017\\Projects\\haar+svm车辆检测\\model.xml"; void detec_and_draw(IplImage * img)//检测视频中的车辆 { static CvMemStorage * storage = 0; static CvHaarClassifierCascade * cascade = 0; int scale = 1; CvPoint pt1,pt2; cascade = (CvHaarClassifierCascade*)cvLoad(cascade_name,0,0,0); storage = cvCreateMemStorage(0); cvClearMemStorage(storage); if(cascade) { CvSeq * car = cvHaarDetectObjects(img,cascade,storage,1.3,4,0,cvSize(20,20),cvSize(90,90)); for(int i = 0; i<(car?car->total:0);i++) { CvRect * r = (CvRect*)cvGetSeqElem(car,i); pt1.x = r->x*scale; pt2.x = (r->x+r->width)*scale; pt1.y = r->y*scale; pt2.y = (r->y+r->height)*scale; cvRectangle(img,pt1,pt2,CV_RGB(255,255,0),2,8,0); } } namedWindow("after",1); cvShowImage("after",img); return; } int main(int argc, char** argv) { CvCapture * capture = cvCreateFileCapture ("D:\\Visual Studio 2017\\Projects\\haar+svm车辆检测\\5.flv"); //读取视频 // CvCapture * capture = cvCreateFileCapture ("D:\\5.flv"); double fps=cvGetCaptureProperty(capture, CV_CAP_PROP_FPS ); //读取视频的帧率 int vfps = 1000 / fps; //计算每帧播放的时间 double frames=cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_COUNT);//读取视频中有多少帧 IplImage * frame; int i=1; while(i){ i++; frame = cvQueryFrame( capture ); //抓取帧 if(!frame)break; double start = GetTickCount(); detec_and_draw(frame); double end=GetTickCount(); cout << end-start <<"ms"<< endl; char c = cvWaitKey(vfps/10); if(c == 27 )break; } cvReleaseCapture(&capture); cvDestroyWindow("example"); }