一次性检测出一个文件夹下的所有人脸

来源：互联网发布：数据库是什么文件编辑：程序博客网时间：2024/04/24 16:28

一次性检测出一个文件夹下的所有人脸——人脸检测。

#include "stdafx.h"#include <stdio.h>#include <string>#include <opencv2/objdetect/objdetect.hpp>#include "opencv2/imgproc/imgproc.hpp"  #include "opencv2/highgui/highgui.hpp"  #include "opencv2/opencv.hpp"  #include <opencv2/core/core.hpp>#include<iostream>   #include<fstream>#include <opencv.hpp>//#include<iomanip.h>#include "facedetect-dll.h"#pragma comment(lib,"libfacedetect.lib")using namespace cv;using namespace std;int main(){int sum = 0;//boundingbox_test.txtofstream f("E:\\boundingbox2.txt");//打开文件用于写，若文件不存在就创建它if (!f)//打开文件失败则结束运行return -1;for (int i = 0; i < 5; i++){//训练集中共有281个检测不到任何脸；测试集中共有189个string image_name = "E:\\ESR test\\test\\";//加载训练数据image_name = image_name + to_string(i + 1) + ".jpg";//to_string将整型转换为字符串型Mat srcImage = imread(image_name, 0);if (srcImage.empty()){fprintf(stderr, "Can not load the image file.\n");return -1;}int * pResults = NULL;pResults = facedetect_multiview((unsigned char*)(srcImage.ptr(0)), srcImage.cols, srcImage.rows, srcImage.step,1.2f, 5, 24);printf("%d faces detected.\n", (pResults ? *pResults : 0));if (*pResults!= 0){for (int i = 0; i < (pResults ? *pResults : 0); i++)//print the detection results{short * p = ((short*)(pResults + 1)) + 6 * i;int x = p[0];int y = p[1];int w = p[2];int h = p[3];int neighbors = p[4];int angle = p[5];f<< x <<" "<< y <<" "<< w <<" "<< h << endl;//使用插入运算符写文件内容//f<< setw(20) << "家庭地址："<< endl;//printf("face_rect=[%d, %d, %d, %d], neighbors=%d, angle=%d\n", x, y, w, h, neighbors, angle);}}else{f << "0   0    0    0" << endl;//使用插入运算符写文件内容//cout << i + 1 << endl;sum++;}}//cout << "sum=" << sum << endl;f.close();//关闭文件waitKey(0);return 0;}

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