代码接上次的人脸检测 文件名是file0001~4000 在scanf里用%04d
#include<opencv2/objdetect/objdetect.hpp>
#include<opencv2/highgui/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include<opencv2/highgui/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
using namespace cv;
using namespace std;
//人脸检测的类
CascadeClassifier faceCascade;
using namespace std;
//人脸检测的类
CascadeClassifier faceCascade;
int main()
{
faceCascade.load("haarcascade_frontalface_alt2.xml"); //加载分类器,注意文件路径
int num =4000;
char fileName[50];
for (int j = 1; j<= num; j++)
{
sprintf_s(fileName, "D:\\123\\files\\file%04d.jpg", j);
Mat img = imread(fileName);
Mat imgGray;
{
faceCascade.load("haarcascade_frontalface_alt2.xml"); //加载分类器,注意文件路径
int num =4000;
char fileName[50];
for (int j = 1; j<= num; j++)
{
sprintf_s(fileName, "D:\\123\\files\\file%04d.jpg", j);
Mat img = imread(fileName);
Mat imgGray;
vector<Rect> faces;
if (img.empty())
{
return 1;
}
{
return 1;
}
if (img.channels() == 3)
{
cvtColor(img, imgGray, CV_RGB2GRAY);
}
else
{
imgGray = img;
}
{
cvtColor(img, imgGray, CV_RGB2GRAY);
}
else
{
imgGray = img;
}
faceCascade.detectMultiScale(imgGray, faces, 1.2, 6, 0, Size(0, 0)); //检测人脸
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); //框出人脸位置
}
}
{
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); //框出人脸位置
}
}
imshow("FacesOfPrettyGirl", img);
waitKey(0);
}
waitKey(0);
return 0;
}
}
waitKey(0);
return 0;
}