Question

我正在尝试将此代码用于实时相机Feed的背景减法。但是这段代码在两个窗口都给出了白色图像。问题是，当使用来自同一相机的视频文件进行测试时，它工作正常，没有任何错误，但当视频文件被相机输入替换时，它变为白色，并且在运行窗口终端中显示错误：

HIGHGUI错误：V4L2：无法获取属性（1） - 无效参数

从摄像机进纸拍摄视频时，会不断重复上述错误。请帮忙解决这个问题。

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/video/background_segm.hpp>
#include <cv.h>
#include <iostream>
#include <sstream>

using namespace cv;
using namespace std;

Mat frame; //current frame
Mat fgMaskMOG; //fg mask generated by MOG method
Mat fgMaskMOG2; //fg mask fg mask generated by MOG2 method
Ptr<BackgroundSubtractor> pMOG; //MOG Background subtractor
Ptr<BackgroundSubtractor> pMOG2; //MOG2 Background subtractor
int keyboard;

int main()
{
//create GUI windows
namedWindow("Frame",0);
//namedWindow("FG Mask MOG",0);
namedWindow("FG Mask MOG 2",0);
namedWindow("eroded",0);
namedWindow("eroded2",0);
//create Background Subtractor objects

pMOG= new BackgroundSubtractorMOG(); //MOG approach
pMOG2 = new BackgroundSubtractorMOG2(); //MOG2 approach

//create the capture object
VideoCapture capture(0);

//read input data. ESC or 'q' for quitting
while( (char)keyboard != 'q' && (char)keyboard != 27 )
{
    //read the current frame
    if(!capture.read(frame))
    {
        cerr << "Unable to read next frame." << endl;
        cerr << "Exiting..." << endl;
        exit(EXIT_FAILURE);
    }
   //update the background model
   //AND HERE!!!
   //pMOG->operator()(frame, fgMaskMOG);
   pMOG2->operator()(frame, fgMaskMOG2);
   //get the frame number and write it on the current frame
   stringstream ss;
   rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
   cv::Scalar(255,255,255), -1);
   ss << capture.get(CV_CAP_PROP_POS_FRAMES);
   string frameNumberString = ss.str();
   putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
   FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
   //show the current frame and the fg masks
   imshow("Frame", frame);


   imshow("FG Mask MOG", fgMaskMOG);
   imshow("FG Mask MOG 2", fgMaskMOG2);
   //get the input from the keyboard
   keyboard = waitKey( 30 );


}

 //delete capture object
capture.release();

//destroy GUI windows
distroyAllWindows();
return EXIT_SUCCESS;
}

Answer 1

我认为属性

CV_CAP_PROP_POS_FRAMES

对相机无效。

使用opencv mog检测器和来自实时摄像机馈送的c ++进行背景减法

1 个答案: