Question

opencv 2.4.9机器学习源码有错误吗

Answer 1

<pre t="code" l="cpp">首先找到解压路径下【opencv】-【sources】-【data】-【haarcascades】
路径下面的
"haarcascades_eye_tree_eyeglasses.xml"和"haarcascade_frontalface_alt.xml"文件。，放到自己的工程目录下，然后新建cpp，编写如下代码：
#include "opencv2/core/core.hpp"
#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;

string face_cascade_name = "haarcascade_frontalface_alt.xml";
CascadeClassifier face_cascade;
string window_name = "人脸识别";

void detectAndDisplay( Mat frame );

int main( int argc, char** argv ){
Mat image;
image = imread( argv[1]);

if( argc != 2 || !image.data ){
printf("[error] 没有图片\n");
return -1;
}

if( !face_cascade.load( face_cascade_name ) ){
printf("[error] 无法加载级联分类器文件！\n");
return -1;
}

detectAndDisplay(image);

waitKey(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|CV_HAAR_SCALE_IMAGE, Size(30, 30) );

for( int i = 0; i < faces.size(); i++ ){
Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 );
}

imshow( window_name, frame );
}