OpenCV人脸检测 人脸打码_图片快速人脸打码

.xml文件路径为本地绝对路径，应用代码时需要修改。
代码如下：

#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>


using namespace std;
using namespace cv;

void detectAndDisplay( Mat frame );

String face_cascade_name = "C:\\Program Files\\OpenCV2.4.11\\opencv\\sources\\data\\lbpcascades\\lbpcascade_frontalface.xml";
String eyes_cascade_name = "C:\\Program Files\\OpenCV2.4.11\\opencv\sources\\data\\haarcascades\\haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
string window_name = "detectionresult";

RNG rng(12345);


int main( int argc, const char** argv )
{
	Mat frame;
	face_cascade.load( face_cascade_name );
	if( !face_cascade.load( face_cascade_name ) )
	{ printf("--(!)Error loading\n"); return -1; };
   frame = imread("1.png");
   detectAndDisplay(frame);
   waitKey(0);
	return 0;
}
void detectAndDisplay( Mat frame )
{
	std::vector<Rect> faces;
	Mat frame_gray;
	cvtColor( frame, frame_gray, CV_BGR2GRAY );
	equalizeHist( frame_gray, frame_gray );
	face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0, Size(20, 20) );
	for( int i = 0; i < faces.size(); i++ )
	{
		Mat faceROI = frame_gray( faces[i] );
		Mat faceOrg = frame( faces[i] );
		blur(faceOrg, faceOrg, Size(25,25));  
		std::vector<Rect> eyes;
	}
	imshow( window_name, frame );
}


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效果图：