opencv人脸识别截图，正点原子ov5640

#include <iostream>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <fstream>
#include <stdlib.h>
#include <opencv2/opencv.hpp>
#include <locale>
#include <string>
#include <vector>
#define  MY_SIZE	Size(90, 90)
using namespace cv;
using namespace std;
CascadeClassifier faceCascade;
int main() 
{
	int c=0;
	if (!faceCascade.load("./haarcascade_frontalface_alt.xml")) 
	{
		cout << "导入haarcascade_frontalface_alt.xml时出错 !" << endl;
		return 0;
	} 
	VideoCapture cap(1);
	Mat img, imgGray;
	vector < Rect > faces;
	if (!cap.isOpened()) 
	{
		return 1;
	}
	while (c != 27)
	{
		cap >> img;   
		if (img.channels() == 3)   
				{
			cvtColor(img, imgGray, CV_RGB2GRAY);  
		} 
		else 
		{
			imgGray = img;
		}
		faceCascade.detectMultiScale(imgGray, faces, 1.3, 6, 0, Size(20, 20));
		if (faces.size() > 0) 
		{
			for (int i = 0; i < faces.size(); i++) 
			{
				rectangle(imgGray, 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); 
				Mat faceROI;
				int count = 0;
				faceROI = imgGray(faces[i]);
				resize(faceROI, faceROI, MY_SIZE);
				imwrite("jt.jpg", faceROI);	
			}
		}
	}
	return 0;
}

arm-linux-gnueabihf-g++ -o video1 video.cpp  `pkg-config --cflags --libs opencv`