如何在OpenCV中捕获图像并以pgm格式保存? [英] How do I capture images in OpenCV and saving in pgm format?

问题描述

我通常对编程是全新的，并且正在从事一个项目，该项目需要从我的网络摄像头(可能使用OpenCV)捕获图像，并将图像另存为pgm文件.

I am brand new to programming in general, and am working on a project for which I need to capture images from my webcam (possibly using OpenCV), and save the images as pgm files.

最简单的方法是什么? Willow Garage提供了以下用于图像捕获的代码:

What's the simplest way to do this? Willow Garage provides this code for image capturing:

http://opencv.willowgarage.com/wiki/CameraCapture

使用此代码作为基础，我如何将其修改为:

Using this code as a base, how might I modify it to:

1. 每2秒从实时摄像头捕获一次图像
2. 将图像保存为pgm格式的文件夹

非常感谢您可以提供的任何帮助！

Thanks so much for any help you can provide!

推荐答案

首先，请使用较新的网站- opencv.org .使用过时的引用会导致连锁效应，当新用户看到旧的引用，阅读旧的文档并再次发布旧的链接时.

First of all, please use newer site - opencv.org. Using outdated references leads to chain effect, when new users see old references, read old docs and post old links again.

实际上没有理由使用旧的C API.取而代之的是，您可以使用较新的C ++接口，该接口除其他功能外还可以优雅地处理视频捕获.这是 VideoCapture 上的文档的简化版示例:

There's actually no reason to use old C API. Instead, you can use newer C++ interface, which, among other things, handles capturing video gracefully. Here's shortened version of example from docs on VideoCapture:

#include "opencv2/opencv.hpp"

using namespace cv;

int main(int, char**)
{
    VideoCapture cap(0); // open the default camera
    if(!cap.isOpened())  // check if we succeeded
        return -1;

    for(;;)
    {
        Mat frame;
        cap >> frame; // get a new frame from camera
        // do any processing
        imwrite("path/to/image.png", frame);
        if(waitKey(30) >= 0) break;   // you can increase delay to 2 seconds here
    }
    // the camera will be deinitialized automatically in VideoCapture destructor
    return 0;
}

此外，如果您是编程新手，请考虑对OpenCV- cv2 模块使用 Python接口.人们通常认为Python比C ++更简单，使用Python，您可以在交互式控制台中直接使用OpenCV函数.使用cv2捕获视频看起来像这样(此处):

Also, if you are new to programming, consider using Python interface to OpenCV - cv2 module. Python is often considered simpler than C++, and using it you can play around with OpenCV functions right in an interactive console. Capturing video with cv2 looks something like this (adopted code from here):

import numpy as np
import cv2

cap = cv2.VideoCapture(0)

while(True):
    # Capture frame-by-frame
    ret, frame = cap.read()
    # do what you want with frame
    #  and then save to file
    cv2.imwrite('path/to/image.png', frame)
    if cv2.waitKey(30) & 0xFF == ord('q'): # you can increase delay to 2 seconds here
        break

# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()

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