IDE：CodeBLocks Opencv
版本：2.4.6
语言：C++
以下是黄色检测的代码，我能够成功执行。
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>
using namespace cv;
using namespace std;
Mat GetThresholdedImage(Mat image_here)
{
Mat image_here1=image_here;
cvtColor(image_here,image_here1,CV_BGR2HSV);
inRange(image_here1, Scalar(20, 100, 100), Scalar(30, 255, 255), image_here1);
return image_here1;
}
int main(int argc, char* argv[])
{
VideoCapture cap(0); // open the video camera no. 0
if (!cap.isOpened()) // if not success, exit program
{
cout << "Cannot open the video cam" << endl;
return -1;
}
double dWidth = cap.get(CV_CAP_PROP_FRAME_WIDTH); //width of frames of ideo
double dHeight = cap.get(CV_CAP_PROP_FRAME_HEIGHT); //height of frames of the video
Mat imgtrack(dWidth,dHeight,CV_8UC3);
imgtrack.setTo(0);
cout << "Frame size : " << dWidth << " x " << dHeight << endl;
namedWindow("MyVideo",CV_WINDOW_AUTOSIZE); //create a window called "MyVideo"
while (1)
{
Mat frame;
bool bSuccess = cap.read(frame); // read a new frame from video
//imshow("MyVideo", frame);
if (!bSuccess) //if not success, break loop
{
cout << "Cannot read a frame from video stream" << endl;
break;
}
Mat imgYellowThresh=GetThresholdedImage(frame);
imshow("MyVideo", imgYellowThresh);
cout<<endl<<"moving to imgproc";
cout<<"end";
if (waitKey(30) == 27)
{
cout << "esc key is pressed by user" << endl;
break;
}
}
return 0;
}
以下是我用于跟踪黄色对象的代码。问题是它编译并成功运行，但是没有显示最终视频输出的输出窗口，程序突然结束，没有任何错误或异常等。我已经看过很多其他代码和页面，但找不到解决方案。
我使用 opencv 教程来构建我的代码。由于这里提到的代码是 C 风格的，所以我自己做了一些更改来构建 C++ 代码。 http://opencv-srf.blogspot.in/2010/09/object-detection-using-color-seperation.html
我还添加了一堆 cout 之类的“开始阈值”等来检查问题。直到一份声明cout<<"\n area if starting \n";正在打印，但其余的则没有。此外，我warning: unknown escape sequence: '\040'与声明一致cout"\n about to add\n";。由于我对图像处理和opencv都是新手，所以我不知道如何工作。
请帮忙。
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <iostream>
using namespace cv;
using namespace std;
Mat imgtrack;
int lastX=-1;
int lastY=-1;
Mat GetThresholdedImage(Mat image_here)
{
Mat image_here1=image_here;
cvtColor(image_here,image_here1,CV_BGR2HSV);
inRange(image_here1, Scalar(20, 100, 100), Scalar(30, 255, 255), image_here1);
return image_here1;
}
int main(int argc, char* argv[])
{
VideoCapture cap(0); // open the video camera no. 0
if (!cap.isOpened()) // if not success, exit program
{
cout << "Cannot open the video cam" << endl;
return -1;
}
double dWidth = cap.get(CV_CAP_PROP_FRAME_WIDTH); //width of frames of ideo
double dHeight = cap.get(CV_CAP_PROP_FRAME_HEIGHT); //height of frames of the video
Mat imgtrack(dWidth,dHeight,CV_8UC3);
imgtrack.setTo(0);
cout << "Frame size : " << dWidth << " x " << dHeight << endl;
namedWindow("MyVideo",CV_WINDOW_AUTOSIZE); //create a window called "MyVideo"
while (1)
{
Mat frame;
bool bSuccess = cap.read(frame); // read a new frame from video
//imshow("MyVideo", frame);
if (!bSuccess) //if not success, break loop
{
cout << "Cannot read a frame from video stream" << endl;
break;
}
cout<<"\nstarting thresholding\n";
Mat imgYellowThresh=GetThresholdedImage(frame);
cout<<"\nDone Thresholding\n";
Moments m=moments(imgYellowThresh,true);
double moment10=m.m10;
double moment01=m.m01;
double area=m.m00;
cout<<"\n area if starting\n";
if(area>1000)
{
cout<<"\n inside if\n"; //not printing any cout from here on
int posX=moment10/area;
int posY=moment01/area;
if(lastX>=0 && lastY>=0 && posX>=0 && posY>=0)
{
line(imgtrack,Point(posX,posY),Point(lastX,lastY),Scalar(255,0,0),4);
}
lastX=posX;
lastY=posY;
imshow("MyVideo", frame);
add(frame,imgtrack,frame);
cout<<"end";
if (waitKey(30) == 27)
{
cout << "esc key is pressed by user" << endl;
break;
}
}
return 0;
}
}