【行人检测】opencv自带

直接上opencv自带的行人检测。

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"

#include <stdio.h>
#include <string.h>
#include <ctype.h>

using namespace cv;
using namespace std;

int main()
{
	Mat img;
	FILE* f = 0;
	char _filename[1024];

	img = imread("007.jpg");

	HOGDescriptor hog;
	hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());
	namedWindow("people detector", 1);

	for(;;)
	{
		char* filename = _filename;
		if(f)
		{
			if(!fgets(filename, (int)sizeof(_filename)-2, f))
				break;
			//while(*filename && isspace(*filename))
			//	++filename;
			if(filename[0] == '#')
				continue;
			int l = strlen(filename);
			while(l > 0 && isspace(filename[l-1]))
				--l;
			filename[l] = '\0';
			img = imread(filename);
		}
		printf("%s:\n", filename);
		if(!img.data)
			continue;

		fflush(stdout);
		vector<Rect> found, found_filtered;
		double t = (double)getTickCount();
		// run the detector with default parameters. to get a higher hit-rate
		// (and more false alarms, respectively), decrease the hitThreshold and
		// groupThreshold (set groupThreshold to 0 to turn off the grouping completely).
		hog.detectMultiScale(img, found, 0, Size(8,8), Size(32,32), 1.05, 2);
		t = (double)getTickCount() - t;
		printf("tdetection time = %gms\n", t*1000./cv::getTickFrequency());
		size_t i, j;
		for( i = 0; i < found.size(); i++ )
		{
			Rect r = found[i];
			for( j = 0; j < found.size(); j++ )
				if( j != i && (r & found[j]) == r)
					break;
			if( j == found.size() )
				found_filtered.push_back(r);
		}
		for( i = 0; i < found_filtered.size(); i++ )
		{
			Rect r = found_filtered[i];
			// the HOG detector returns slightly larger rectangles than the real objects.
			// so we slightly shrink the rectangles to get a nicer output.
			r.x += cvRound(r.width*0.1);
			r.width = cvRound(r.width*0.8);
			r.y += cvRound(r.height*0.07);
			r.height = cvRound(r.height*0.8);
			rectangle(img, r.tl(), r.br(), cv::Scalar(0,255,0), 3);
		}
		imshow("people detector", img);
		int c = waitKey(0) & 255;
		if( c == 'q' || c == 'Q' || !f)
			break;
	}
	if(f)
		fclose(f);
	return 0;
}