#includeusing namespace cv; int main() { VideoCapture cap(0); if (!cap.isOpened()) { std::cout << "Error: Could not open video capture device" << std::endl; return -1; } while (true) { Mat frame; cap >> frame; imshow("Live Video Feed", frame); waitKey(1); } return 0; }
#includeusing namespace cv; int main() { VideoCapture cap("video.mp4"); if (!cap.isOpened()) { std::cout << "Error: Could not open video file" << std::endl; return -1; } while (true) { Mat frame; cap >> frame; if (frame.empty()) { std::cout << "End of video" << std::endl; break; } imshow("Video", frame); waitKey(1); } return 0; }
#includeIn these examples, the Video package library is from OpenCV (Open Source Computer Vision Library) which is widely used for image and video processing applications.using namespace cv; int main() { VideoCapture cap("video.mp4"); if (!cap.isOpened()) { std::cout << "Error: Could not open video file" << std::endl; return -1; } int codec = VideoWriter::fourcc('M', 'J', 'P', 'G'); Size size(cap.get(CAP_PROP_FRAME_WIDTH), cap.get(CAP_PROP_FRAME_HEIGHT)); VideoWriter output("output.mp4", codec, cap.get(CAP_PROP_FPS), size); if (!output.isOpened()) { std::cout << "Error: Could not open output video file" << std::endl; return -1; } while (true) { Mat frame; cap >> frame; if (frame.empty()) { std::cout << "End of video" << std::endl; break; } // Apply image processing techniques to frame output.write(frame); imshow("Processed Video", frame); waitKey(1); } return 0; }