HOG+SVM实现行人检测 图像切割

Posted 2022-05-26 fanxinglanyu

1，切割正、负样本图像，并把图片名存为txt

#include 
#include 
#include 
#include  //srand()和rand()函数
#include  //time()函数
#include 
#include 
#include 
#include 
#include 

#define INRIANegativeImageList "/Users/macbookpro/CLionProjects/pedestrian_detection/img_dir/sample_neg.txt" //原始负样本图片文件列表
#define cropNegNum 1214
//负样本图片个数
using namespace std;
using namespace cv;

int CropImageCount = 0; //裁剪出来的负样本图片个数

int main()

   Mat src;
   string ImgName;

   char saveName[256];//裁剪出来的负样本图片文件名
   ifstream fin(INRIANegativeImageList);//打开原始负样本图片文件列表
   //ifstream fin("subset.txt");
   int num = 0;

   //一行一行读取文件列表
   while(getline(fin,ImgName))
   
      cout<<"处理："<<ImgName<<endl;
      ImgName = "/Users/macbookpro/CLionProjects/pedestrian_detection/normalized_images/train/neg/" + ImgName;

      src = imread(ImgName,1);//读取彩色图片

      //src =cvLoadImage(imagename,1);//c的接口，
      // 例子：IplImage *pic = cvLoadImage("timu1.jpg",1); cvShowImage("load",pic);
      //cout<<"宽："<

      //图片大小应该能能至少包含一个64*128的窗口
      if(src.cols >= 64 && src.rows >= 128)
      
         srand(time(NULL));//设置随机数种子

         //从每张图片中随机裁剪10个64*128大小的不包含人的负样本
         for(int i=0; i<10; i++)
         
            int x = ( rand() % (src.cols-64) ); //左上角x坐标
            int y = ( rand() % (src.rows-128) ); //左上角y坐标
            //cout<
            Mat imgROI = src(Rect(x,y,64,128));
            //Rect rect(400,400,300,300);
            // Mat image_cut = Mat(img, rect);
            sprintf(saveName,"/Users/macbookpro/CLionProjects/pedestrian_detection/normalized_images/train/new_neg/noperson%06d.jpg",++CropImageCount);//生成裁剪出的负样本图片的文件名
            imwrite(saveName, imgROI);//保存文件

             //保存裁剪得到的图片名称到txt文件，换行分隔
                if(i<(cropNegNum-1))
                    fout <<"neg" << i << "Cropped"<< num++ << ".png"<< endl;
                
                else if(i==(cropNegNum-1) && j<4)
                    fout <<"neg" << i << "Cropped"<< num++ << ".png"<< endl;
                
                else
                    fout <<"neg" << i << "Cropped"<< num++ << ".png";
                
         
      
   
  cout<<"总共裁剪出"<<CropImageCount<<"张图片"<<endl;