vs2017 + opencv343 視頻人臉檢測

//視頻人臉檢測
#include "pch.h"
#include<opencv2/objdetect/objdetect.hpp>  
#include<opencv2/highgui/highgui.hpp>  
#include<opencv2/imgproc/imgproc.hpp>  
#include <iostream>

using namespace cv;
using namespace std;

CascadeClassifier faceCascade;

int main()
{
	//bool a = faceCascade.load("C:\\myProjects\\faceDetector\\faceDetector\\Face\\haarcascade_frontalface_alt2.xml");
	//bool a = faceCascade.load("C:\\myProjects\\faceDetector\\faceDetector\\Face\\haarcascade_eye.xml");
	bool a = faceCascade.load("C:\\myProjects\\faceDetector\\faceDetector\\Face\\haarcascade_eye_tree_eyeglasses.xml");
	VideoCapture capture;
	// 打開攝像頭
	capture.open(0);
//      capture.open("video.avi");    // 打開視頻
	if (!capture.isOpened())
	{
		cout << "open camera failed. " << endl;
		return -1;
	}

	Mat img, imgGray;
	vector<Rect> faces;
	while (1)
	{
		// 讀取圖像至img
		capture >> img;
		if (img.empty())
		{
			continue;
		}

		if (img.channels() == 3)
		{
			cvtColor(img, imgGray, CV_RGB2GRAY);
		}
		else
		{
			imgGray = img;
		}
		// 檢測人臉
		faceCascade.detectMultiScale(imgGray, faces, 1.2, 6, 0, Size(0, 0));

		if (faces.size() > 0)
		{
			for (int i = 0; i < faces.size(); i++)
			{
				rectangle(img, Point(faces[i].x, faces[i].y), Point(faces[i].x + faces[i].width, faces[i].y + faces[i].height), Scalar(0, 255, 0), 1, 8);
			}
		}
		// 顯示
		imshow("CamerFace", img); 

		// delay ms 等待按鍵退出
		if (waitKey(1) > 0)		
		{
			break;
		}
	}

	return 0;
}

寫給自己的文章，做個記錄。

參考博客：https://blog.csdn.net/qq_30155503/article/details/79475461