/*
* Created on: Nov 23, 2010
* Author: Ethan Rublee
*
* A starter sample for using opencv, load up an imagelist
* that was generated with imagelist_creator.cpp
* easy as CV_PI right?
*/
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>
#include <vector>
using namespace cv;
using namespace std;
static void help(char** av)
{
cout << "\nThis program gets you started being able to read images from a list in a file\n"
"Usage:\n./" << av[0] << " image_list.yaml\n"
<< "\tThis is a starter sample, to get you up and going in a copy pasta fashion.\n"
<< "\tThe program reads in an list of images from a yaml or xml file and displays\n"
<< "one at a time\n"
<< "\tTry running imagelist_creator to generate a list of images.\n"
"Using OpenCV version %s\n" << CV_VERSION << "\n" << endl;
}
//读取路径字符串列表
static bool readStringList(const string& filename, vector<string>& l)
{
l.resize(0);//调整容器大小
FileStorage fs(filename, FileStorage::READ);//读取文件
if (!fs.isOpened())
return false;
FileNode n = fs.getFirstTopLevelNode();//首节点
if (n.type() != FileNode::SEQ)
return false;
FileNodeIterator it = n.begin(), it_end = n.end();//迭代器
for (; it != it_end; ++it)
l.push_back((string)*it);//加入列表
return true;
}
//依次显示所有图像灰度图
static int process(const vector<string>& images)
{
namedWindow("image", WINDOW_KEEPRATIO); //保持图像比例 resizable window;
for (size_t i = 0; i < images.size(); i++)
{
Mat image = imread(images[i], IMREAD_GRAYSCALE); // do grayscale processing?
imshow("image", image);
cout << "Press a key to see the next image in the list." << endl;
waitKey(); // wait infinitely for a key to be pressed
}
return 0;
}
int main(int ac, char** av)
{
cv::CommandLineParser parser(ac, av, "{help h||}{@input||}");
if (parser.has("help"))
{
help(av);
return 0;
}
std::string arg = parser.get<std::string>("@input");//文件名
if (arg.empty())
{
help(av);
return 1;
}
vector<string> imagelist;//图像路径列表
if (!readStringList(arg, imagelist))//读取文件路径列表
{
cerr << "Failed to read image list\n" << endl;
help(av);
return 1;
}
return process(imagelist);
}
【opencv450-samples】读取图像路径列表并保持比例显示
最新推荐文章于 2024-04-11 17:02:52 发布
该博客介绍了一个使用OpenCV库的简单示例,演示如何从YAML文件读取一串图像路径,并逐个显示这些图像的灰度版本。程序首先打开一个窗口,然后循环读取并显示文件列表中的每一张图片,等待用户按键继续到下一张。这个例子旨在帮助初学者快速入门OpenCV的图像处理操作。

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