OpenCV CascadeClassifier sample

CascadeClassifier.cpp

#include <SDKDDKVer.h>
#include <Windows.h>

#include <vector>

#pragma warning(disable:4819)
#pragma warning(disable:4996)

// for OpenCV2
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"

#ifdef _DEBUG
#pragma comment(lib, "opencv_core231d.lib")
#pragma comment(lib, "opencv_imgproc231d.lib")
#pragma comment(lib, "opencv_objdetect231d.lib")
#pragma comment(lib, "opencv_highgui231d.lib")
#else
#pragma comment(lib, "opencv_core231.lib")
#pragma comment(lib, "opencv_imgproc231.lib")
#pragma comment(lib, "opencv_objdetect231.lib")
#pragma comment(lib, "opencv_highgui231.lib")
#endif

int main(int argc, char* argv[])
{
	cv::Mat src_img, gray_img, eq_img, result_img;

	src_img = cv::imread("C:\\opencv-2.3.1\\samples\\c\\lena.jpg", CV_LOAD_IMAGE_COLOR);
	if (src_img.data == NULL) {
		printf("cv::imread() failed...\n");
		return -1;
	}

	cv::cvtColor(src_img, gray_img, CV_RGB2GRAY);
	cv::equalizeHist(gray_img, eq_img);
	result_img = src_img.clone();

	cv::CascadeClassifier cascade;
	if (cascade.load("C:\\opencv-2.3.1\\data\\haarcascades\\haarcascade_eye.xml") == false) {
		printf("cascade.load() failed...\n");
		return -1;
	}
	
	std::vector<cv::Rect> faces;
	cascade.detectMultiScale(
		eq_img,
		faces,
		1.1,          // scale factor
		3,            // minimum neighbors
		0,            // flags
		cv::Size(20, 20) // minimum size
		);

	std::vector<cv::Rect>::const_iterator i;
	for (i = faces.begin(); i != faces.end(); ++i) {
		cv::rectangle(
			result_img,
			cv::Point(i->x, i->y),
			cv::Point(i->x + i->width, i->y + i->height),
			CV_RGB(255, 0, 0),
			2);
	}

	while(true) {
		cv::imshow("result_img", result_img);
		int c = cv::waitKey(0);
		if (c == 27) break;
	}

	return 0;
}