如何捕捉车道偏离并生成警告 我只是另一个初学者,在开放的简历和C++中。 我使用两台摄像机通过俯视图检测车道,并已成功检测和标记车道。但现在我想在车道交叉或偏离时生成警告。我一到最后期限,请尽快帮助我。我们将不胜感激 cv::VideoCapture camera0 (0); cv::VideoCapture camera1 (1); if( !camera0.isOpened() ) return 1; if( !camera1.isOpened() ) return 1; while(true) { //capture and retrieve each frames of the video sequentially, one frame at time will be displayed // capture from 1st camera Mat edges0, edges1; cv::Mat3b frame0; camera0 >> frame0; // Performing edge detection on camera 1 Mat dst0, cdst0; GaussianBlur(frame0, frame0, Size(7,7), 1.5, 1.5); Canny(frame0, dst0, 50, 200, 3); cvtColor(dst0, cdst0, CV_GRAY2BGR); vector<Vec4i> lines; HoughLinesP(dst0, lines, 1, CV_PI/180, 50, 50, 100 ); for( size_t i = 0; i < lines.size(); i++ ) { Vec4i l = lines[i]; line( cdst0, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, CV_AA); } //capturing frames from second camera cv::Mat3b frame1; camera1 >> frame1; // performing edge detection on camera 2 Mat dst1, cdst1; GaussianBlur(frame1, frame1, Size(7,7), 1.5, 1.5); Canny(frame1, dst1, 50, 200, 3); cvtColor(dst1, cdst1, CV_GRAY2BGR); HoughLinesP(dst1, lines, 1, CV_PI/180, 50, 50, 100 ); for( size_t i = 0; i < lines.size(); i++ ) { Vec4i l = lines[i]; line( cdst1, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, CV_AA); } cv::imshow("Left Lane", cdst0); cv::imshow("Right Lane", cdst1); //wait for 40 milliseconds int c = cvWaitKey(30); //exit the loop if user press "Esc" key (ASCII value of "Esc" is 27) if(27 == char(c)) break; } return 0;

如何捕捉车道偏离并生成警告 我只是另一个初学者,在开放的简历和C++中。 我使用两台摄像机通过俯视图检测车道,并已成功检测和标记车道。但现在我想在车道交叉或偏离时生成警告。我一到最后期限,请尽快帮助我。我们将不胜感激 cv::VideoCapture camera0 (0); cv::VideoCapture camera1 (1); if( !camera0.isOpened() ) return 1; if( !camera1.isOpened() ) return 1; while(true) { //capture and retrieve each frames of the video sequentially, one frame at time will be displayed // capture from 1st camera Mat edges0, edges1; cv::Mat3b frame0; camera0 >> frame0; // Performing edge detection on camera 1 Mat dst0, cdst0; GaussianBlur(frame0, frame0, Size(7,7), 1.5, 1.5); Canny(frame0, dst0, 50, 200, 3); cvtColor(dst0, cdst0, CV_GRAY2BGR); vector<Vec4i> lines; HoughLinesP(dst0, lines, 1, CV_PI/180, 50, 50, 100 ); for( size_t i = 0; i < lines.size(); i++ ) { Vec4i l = lines[i]; line( cdst0, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, CV_AA); } //capturing frames from second camera cv::Mat3b frame1; camera1 >> frame1; // performing edge detection on camera 2 Mat dst1, cdst1; GaussianBlur(frame1, frame1, Size(7,7), 1.5, 1.5); Canny(frame1, dst1, 50, 200, 3); cvtColor(dst1, cdst1, CV_GRAY2BGR); HoughLinesP(dst1, lines, 1, CV_PI/180, 50, 50, 100 ); for( size_t i = 0; i < lines.size(); i++ ) { Vec4i l = lines[i]; line( cdst1, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, CV_AA); } cv::imshow("Left Lane", cdst0); cv::imshow("Right Lane", cdst1); //wait for 40 milliseconds int c = cvWaitKey(30); //exit the loop if user press "Esc" key (ASCII value of "Esc" is 27) if(27 == char(c)) break; } return 0;,c++,opencv,C++,Opencv,}您的输入图像在哪里?您观察到的和期望的输出是什么?我没有看到您跟踪对象并检查其是否穿过tripwire的代码

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您的输入图像在哪里?您观察到的和期望的输出是什么?我没有看到您跟踪对象并检查其是否穿过tripwire的代码