detection_pot/calibration.cpp

#include <iostream>
#include <filesystem>
#include <lccv.hpp>
#include <opencv2/opencv.hpp>
#include <thread>

int main(int argc, char *argv[])
{

    for (int i = 0; i < argc; i++) {
        if (std::string(argv[i]) == "--help")
        {
            std::cout << "Usage: " << argv[0] << " <directory>" << std::endl;
            std::cout << "directory: The directory containing the calibration images." << std::endl;
            return 0;
        }
    }

    if (argc < 2) {
        std::cout << "Usage: " << argv[0] << " <directory>" << std::endl;
        return 1;
    }

    // Set the chessboard size (number of inner corners in width and height)
    cv::Size chessboardSize(6, 9);

    cv::Size imgSize;

    // Create vectors to store the detected chessboard corners and corresponding image points
    std::vector<std::vector<cv::Point3f>> objectPoints; // 3D world points
    std::vector<std::vector<cv::Point2f>> imagePoints;  // 2D image points

    // Generate the 3D world points for the chessboard corners
    std::vector<cv::Point3f> worldPoints;
    for (int i = 0; i < chessboardSize.height; ++i) {
        for (int j = 0; j < chessboardSize.width; ++j) {
            worldPoints.emplace_back(j, i, 0); // Assuming the chessboard lies in the XY plane (Z=0)
        }
    }

    lccv::PiCamera* cam = new lccv::PiCamera;
    cam->options->video_width=1920;
    cam->options->video_height=1080;
    cam->options->framerate=5;
    cam->options->verbose=true;
    cv::namedWindow("Video",cv::WINDOW_NORMAL);
    cam->startVideo();


    char key;

    while(key != 27) {
        cv::Mat image, imageCopy, imgNotRotated;
        if(!cam->getVideoFrame(imgNotRotated,1000)){
            std::cout<<"Timeout error"<<std::endl;
            continue;
        }

        cv::flip(imgNotRotated, image, -1);

        // Convert the image to grayscale
        cv::Mat gray;
        cv::cvtColor(image, gray, cv::COLOR_BGR2GRAY);

        // Find chessboard corners
        std::vector<cv::Point2f> corners;

        // if (findChessboardCorners(gray, chessboardSize, corners)) {
        //     // Refine corner locations
        //     cv::cornerSubPix(gray, corners, cv::Size(11, 11), cv::Size(-1, -1),
        //                      cv::TermCriteria(cv::TermCriteria::EPS + cv::TermCriteria::MAX_ITER, 30, 0.001));
        //
        //     // Store object and image points
        //     objectPoints.push_back(worldPoints);
        //     imagePoints.push_back(corners);
        // }

        putText(gray, "Press 'c' to add current frame. 'ESC' to finish and calibrate",
                cv::Point(10, 20), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar(255, 0, 0), 2);

        imshow("Video", gray);
        key = (char)cv::waitKey(500);
        if(key == 'c' && findChessboardCorners(gray, chessboardSize, corners)) {
            // Refine corner locations
            cv::cornerSubPix(gray, corners, cv::Size(11, 11), cv::Size(-1, -1),
                             cv::TermCriteria(cv::TermCriteria::EPS + cv::TermCriteria::MAX_ITER, 30, 0.001));

            // Store object and image points
            objectPoints.push_back(worldPoints);
            imagePoints.push_back(corners);
        }
    }

    cv::Mat cameraMatrix, distCoeffs;
    std::vector<cv::Mat> rvecs, tvecs;

    calibrateCamera(objectPoints, imagePoints, imgSize,
                        cameraMatrix, distCoeffs, rvecs, tvecs);

    cv::FileStorage fs("./calibration_results.yaml", cv::FileStorage::WRITE);
    fs << "cameraMatrix" << cameraMatrix;
    fs << "distCoeffs" << distCoeffs;
    fs.release(); // Release the file

    cv::destroyAllWindows();

    return 0;
}