Opencv批量处理图片的两种方法

﹏ヽ暗。殇╰゛Y 2022-05-30 06:49 826阅读 0赞

转自：[http://blog.csdn.net/hei\_ya/article/details/51387624][http_blog.csdn.net_hei_ya_article_details_51387624]

在生成训练集的时通常需要对文件夹中图片进行批处理，本文简要介绍图像批量读取、处理、保存的方法。

方法一：

1.生成图片描述文件

对于有多幅图像的文件夹，首先生成txt文件，保存图片路径。

![Center][]

在DOS模式下导入文件夹路径并生成TXT文件：

![Center 1][]

![20160512214349675][]

2.通过TXT批量处理图片

<span style="font-size:18px;">#include<opencv2/opencv.hpp>
    #include<iostream>
    #include<time.h>
    #include<fstream>
    
    using namespace std;
    using namespace cv;
    
    void main()
    {
    	ifstream file("C:/Users/Administrator/Desktop/date/MIT/MIT人脸库/faces/face.txt");
    
    	int img_index = 0;
    
    	while (!file.eof())
    	{
    		char txt_cont[200];
    		file.getline(txt_cont,200);
    
    		char img_file[200],save_file[200];
    
    		sprintf(img_file, "C:/Users/Administrator/Desktop/date/MIT/MIT人脸库/faces/%s", txt_cont);
    		sprintf(save_file, "C:/Users/Administrator/Desktop/date/MIT/MIT人脸库/save/%d.jpg", img_index);
    
    		Mat src = imread(img_file);
    
    		img_index++;
    		
    		imwrite(save_file,src);
    	}
    	
    }</span>

方法二：

利用Directory类实现文件夹中特定格式图像的遍历，Directory的头文件是windows.h。

#include<opencv2/opencv.hpp>
    #include<iostream>
    #include<vector>
    #include<string>
    #include <windows.h>
    
    using namespace std;
    using namespace cv;
    
    
    void main()
    {
    	Directory dir;
    
    	string path1 = "C:\\Users\\Administrator\\Desktop\\date\\MIT\\MIT人脸库\\faces";
    	string  exten1 = "*.bmp";
    
    	vector<string> filenames = dir.GetListFiles(path1, exten1, false);
    
    	int size = filenames.size();
    
    	for (int i = 0; i < size;i++)
    	{
    		cout << filenames[i] << endl;
    	}
    }

![Center 2][]

2. Directory类定义为

class CV_EXPORTS Directory  
    {  
    public:  
        static std::vector<std::string> GetListFiles  ( const std::string& path, const std::string & exten = "*", bool addPath = true );  
        static std::vector<std::string> GetListFilesR ( const std::string& path, const std::string & exten = "*", bool addPath = true );  
        static std::vector<std::string> GetListFolders( const std::string& path, const std::string & exten = "*", bool addPath = true );  
    };

具体用法如下，使用这个类时，应该加上contrib.hpp头文件

#include <iostream>  
    using namespace std;  
      
    #include <opencv2\opencv.hpp>  
    #include <opencv2\highgui\highgui.hpp>  
    #include <opencv2\contrib\contrib.hpp>  
    using namespace cv;  
      
    int main(int argc, char* argv[])  
    {  
        string dir_path = "D:\\opencv_pic\\test\\";  
        Directory dir;  
        vector<string> fileNames = dir.GetListFiles(dir_path, "*.jpg", false);  
      
        for(int i = 0; i < fileNames.size(); i++)  
        {  
            //get image name  
            string fileName = fileNames[i];  
            string fileFullName = dir_path + fileName;  
            cout<<"File name:"<<fileName<<endl;  
            cout<<"Full path:"<<fileFullName<<endl;  
      
            //load image  
            IplImage* srcImg = cvLoadImage(fileFullName.c_str(), CV_LOAD_IMAGE_UNCHANGED);  
            cvShowImage("src", srcImg);  
            cvWaitKey(0);  
        }  
        return 0;  
    }

参考： [http://blog.csdn.net/qq\_34784753/article/details/68935628][http_blog.csdn.net_qq_34784753_article_details_68935628]

[http_blog.csdn.net_hei_ya_article_details_51387624]: http://blog.csdn.net/hei_ya/article/details/51387624
[Center]: /images/20220530/d042257804ba49119cf53952797b2cc1.png
[Center 1]: /images/20220530/6f09ef0b3e994a97adffbf0b3b7beeac.png
[20160512214349675]: /images/20220530/c423b186b8a644f0b1ce251815345004.png
[Center 2]: /images/20220530/80397d08817c4484aa41f3423859e8ce.png
[http_blog.csdn.net_qq_34784753_article_details_68935628]: http://blog.csdn.net/qq_34784753/article/details/68935628