vs+opencv人脸识别

 #include<opencv2\opencv.hpp>
 #include<opencv2\highgui.hpp>
 #include<opencv2\imgproc\imgproc.hpp>

using namespace cv;

int main()
{
	Mat picture = imread("yeah.jpg");//图片必须添加到工程目录下 ,也就是和 main.cpp文件放在一个文件夹下！！！
	imshow("测试程序", picture);
	Mat element = getStructuringElement(MORPH_RECT, Size(15, 15));
	Mat dstimage;
	erode(picture, dstimage, element);
	imshow("腐蚀操作", dstimage);
	waitKey(0);
}

#include <iostream>  
#include <opencv2\opencv.hpp>
#include<E:\Program Files\opencv\build\include\opencv2\core\core.hpp>//填写自己路径
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\imgproc/imgproc.hpp>
#include <opencv2\objdetect/objdetect.hpp>

#include <string>  

using namespace cv;
using namespace std;

//#pragma comment(lib, "opencv_world330.lib")

vector<Rect> detectFaces(Mat img_gray) {
	vector<Rect> faces;
	CascadeClassifier faces_cascade;
	
	string xmlPath = "E:\\Program Files\\opencv\\sources\\data\\haarcascades_cuda\\haarcascade_frontalface_alt.xml";//填写自己路径
	if (!faces_cascade.load(xmlPath)) {
		cout << "不能加载指定的xml文件" << endl;
		return faces;
	}

	faces_cascade.detectMultiScale(img_gray, faces, 1.21, 3, 0 | CV_HAAR_SCALE_IMAGE, Size(50, 50), Size(100, 100));
	//faces_cascade.detectMultiScale(img_gray, faces, 1.1, 3, 0,Size(30,30),Size(50,50));

	//faces_cascade.detectMultiScale(img_gray, faces, 1.1, 3, 0, Size(10, 10), Size(100, 100));
	//cout << "222" << endl;
	return faces;
}

void drawFaces(Mat img, vector<Rect> faces) {

	namedWindow("draw faces");
	for (size_t i = 0; i < faces.size(); i++) {
		Point center(faces[i].x + faces[i].width / 2, faces[i].y + faces[i].height / 2);
		ellipse(img, center, Size(faces[i].width / 2, faces[i].height / 1.5), 0, 0, 360, Scalar(0, 255, 0), 2, 8, 0);

	}
	imshow("draw faces", img);

}
void saveFaces(Mat img, Mat img_gray) {
	vector<Rect> faces = detectFaces(img_gray);
	for (size_t i = 0; i < faces.size(); i++)
	{

		stringstream buffer;
		buffer << i;
		string saveName = "facesicon\\" + buffer.str() + ".jpg";
		Rect roi = faces[i];
		imwrite(saveName, img(roi));
	}



}

void detectDrawEyes(Mat img, Mat img_gray) {
	vector<Rect> faces = detectFaces(img_gray);
	CascadeClassifier faces_cascade;
	
	string xmlPath = "E:\\Program Files\\opencv\\sources\\data\\haarcascades_cuda\\haarcascade_eye.xml";//填写自己路径

	for (size_t i = 0; i < faces.size(); i++) {

		Mat faceROI = img_gray(faces[i]);

		CascadeClassifier eyes_cascade;
		eyes_cascade.load(xmlPath);
		vector<Rect> eyes;
		eyes_cascade.detectMultiScale(faceROI, eyes, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));

		for (size_t j = 0; j < eyes.size(); j++)
		{
			Point eyes_center(faces[i].x + eyes[j].x + eyes[j].width / 2, faces[i].y + eyes[j].y + eyes[j].height / 2);
			int r = cvRound((eyes[j].width + eyes[j].height)*0.25);
			circle(img, eyes_center, r, Scalar(255, 0, 0), 1, 8, 0);
		}


	}
	namedWindow("detectDrawEyes");

	Mat temImage = img, dstImage1;
	resize(temImage, dstImage1, Size(temImage.cols / 2, temImage.rows / 2), 0, 0, INTER_LINEAR);
	imshow("detectDrawEyes", dstImage1);

}
int main() {

	/*


	// 读入一张图片（游戏原画）
	Mat img = imread("pic.jpg");
	// 创建一个名为 "游戏原画"窗口
	namedWindow("游戏原画");
	// 在窗口中显示游戏原画
	imshow("游戏原画", img);
	// 等待6000 ms后窗口自动关闭
	waitKey(6000);
	int a;
	cin >> a;
	return 0;
	*/


	Mat img = imread("xj.jpg");//找一张有人脸的图片（毕业照之类的）
	Mat img_gray;
	namedWindow("原画");
	imshow("原画", img);


	cvtColor(img, img_gray, COLOR_BGR2GRAY);



	equalizeHist(img_gray, img_gray);


	namedWindow("灰度图");
	imshow("灰度图", img_gray);

	vector<Rect> faces = detectFaces(img_gray);
	saveFaces(img, img_gray);

	drawFaces(img, faces);

	detectDrawEyes(img, img_gray);
	waitKey(0);
	return 0;
}