opencv贾老师系列18——人脸识别实战2

LBPH算法

在这里插入代码片

读取并保存人脸数据

#include "pch.h"
#include 
#include 

using namespace std;
using namespace cv;

string haar_face_datapath = "E:/opencv/opencv3.4/opencv/build/etc/haarcascades/haarcascade_frontalface_alt_tree.xml";

int main(int argc, char** argv)
{
	VideoCapture capture(0);
	if (!capture.isOpened())
	{
		cout << "could not open the camera..." << endl;
		return -1;
	}
	Size S = Size((int)capture.get(CV_CAP_PROP_FRAME_WIDTH), (int)capture.get(CV_CAP_PROP_FRAME_HEIGHT));
	int fps = capture.get(CV_CAP_PROP_FPS); 

	CascadeClassifier faceDetector;
	faceDetector.load(haar_face_datapath);


	Mat frame;
	namedWindow("camera-demo", CV_WINDOW_NORMAL);
	vector<Rect> faces;
	int count = 0;
	while (capture.read(frame))
	{
		flip(frame, frame, 1);
		faceDetector.detectMultiScale(frame, faces, 1.01, 1, 0, Size(100, 120), Size(380, 400));
		for (int i = 0; i < faces.size(); i++)
		{
			if (count % 10 == 0)
			{
				//将图像保存为同一个大小
				Mat dst;
				resize(frame(faces[i]), dst, Size(100, 100));
				//保存图像
				imwrite(format("D:/face/face_%d.jpg", count), dst);
			}
			rectangle(frame, faces[i], Scalar(0, 0, 255), 2, 8, 0);
		}
		imshow("camera_demo", frame);
		char c = waitKey(10);
		if (c == 27)
		{
			break;
		}
		count++;
	}


	capture.release();
	waitKey(0);
	return 0;
}


	capture.release();
	waitKey(0);
	return 0;
}

训练形成平均脸文件