main.cpp

#include <iostream>
#include <thread>
#include <atomic>
#include <chrono>
#include <opencv2/opencv.hpp> // For frame capture and processing (OpenCV)
#include <mutex>

class Worker
{
public:
    Worker() : stopFlag(false) {}

    // Start the worker thread
    void start()
    {
        workerThread = std::thread(&Worker::processFrames, this);
    }

    // Stop the worker thread
    void stop()
    {
        stopFlag = true;
        if (workerThread.joinable())
        {
            workerThread.join();
        }
    }

    // Function to simulate frame processing
    void processFrames()
    {
        while (!stopFlag)
        {
            // Simulate frame capture (replace this with actual frame capture)
            cv::Mat frame = cv::Mat::ones(480, 640, CV_8UC3) * 255; // White frame

            // Process the frame (just a simulation here)
            cv::cvtColor(frame, frame, cv::COLOR_BGR2GRAY); // Simulate processing (convert to grayscale)

            // After processing, you can display or do something with the frame
            displayFrame(frame);

            // Sleep for a short duration to simulate frame rate control (30 FPS)
            std::this_thread::sleep_for(std::chrono::milliseconds(33)); // ~30 FPS
        }
    }

    // Display the frame (this could be done using OpenCV or any display mechanism)
    void displayFrame(const cv::Mat &frame)
    {
        // For example, using OpenCV's imshow to display the processed frame
        cv::imshow("Processed Frame", frame);
        cv::waitKey(1); // OpenCV's waitKey to refresh the window
    }

private:
    std::thread workerThread;   // The thread that runs the frame processing
    std::atomic<bool> stopFlag; // Flag to stop the worker thread
    std::mutex frameMutex;      // Mutex to protect shared resources, if necessary
};

int main()
{
    Worker worker;

    // Start the worker thread
    worker.start();

    // Let it process frames for 5 seconds (simulating real-time processing)
    std::this_thread::sleep_for(std::chrono::seconds(5));

    // Stop the worker thread
    worker.stop();

    cv::destroyAllWindows(); // Clean up any OpenCV windows
    return 0;
}