opencv实现多图像读取并显示，sprintf_s函数，static_cast

最新推荐文章于 2025-05-19 08:53:21 发布

原创最新推荐文章于 2025-05-19 08:53:21 发布 · 885 阅读

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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>

using namespace cv;
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;

vector<Rect> faces;

  if (img.empty())
  {
   return 1;
  }

  if (img.channels() == 3)
  {
   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
   }
  }

imshow("FacesOfPrettyGirl", img);

waitKey(0);

}
waitKey(0);
return 0;
}