opencv_contrib/modules/aruco/samples/detect_diamonds.cpp

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#include <opencv2/highgui.hpp>
#include <opencv2/aruco/charuco.hpp>
#include <vector>
#include <iostream>

using namespace std;
using namespace cv;


namespace {
const char* about = "Detect ChArUco markers";
const char* keys  =
        "{sl       |       | Square side length (in meters) }"
        "{ml       |       | Marker side length (in meters) }"
        "{d        |       | dictionary: DICT_4X4_50=0, DICT_4X4_100=1, DICT_4X4_250=2,"
        "DICT_4X4_1000=3, DICT_5X5_50=4, DICT_5X5_100=5, DICT_5X5_250=6, DICT_5X5_1000=7, "
        "DICT_6X6_50=8, DICT_6X6_100=9, DICT_6X6_250=10, DICT_6X6_1000=11, DICT_7X7_50=12,"
        "DICT_7X7_100=13, DICT_7X7_250=14, DICT_7X7_1000=15, DICT_ARUCO_ORIGINAL = 16}"
        "{c        |       | Output file with calibrated camera parameters }"
        "{as       |       | Automatic scale. The provided number is multiplied by the last"
        "diamond id becoming an indicator of the square length. In this case, the -sl and "
        "-ml are only used to know the relative length relation between squares and markers }"
        "{v        |       | Input from video file, if ommited, input comes from camera }"
        "{ci       | 0     | Camera id if input doesnt come from video (-v) }"
        "{dp       |       | File of marker detector parameters }"
        "{rs       |       | Apply refind strategy }"
        "{r        |       | show rejected candidates too }";
}

/**
 */
static bool readCameraParameters(string filename, Mat &camMatrix, Mat &distCoeffs) {
    FileStorage fs(filename, FileStorage::READ);
    if(!fs.isOpened())
        return false;
    fs["camera_matrix"] >> camMatrix;
    fs["distortion_coefficients"] >> distCoeffs;
    return true;
}


/**
 */
static bool readDetectorParameters(string filename, Ptr<aruco::DetectorParameters> &params) {
    FileStorage fs(filename, FileStorage::READ);
    if(!fs.isOpened())
        return false;
    fs["adaptiveThreshWinSizeMin"] >> params->adaptiveThreshWinSizeMin;
    fs["adaptiveThreshWinSizeMax"] >> params->adaptiveThreshWinSizeMax;
    fs["adaptiveThreshWinSizeStep"] >> params->adaptiveThreshWinSizeStep;
    fs["adaptiveThreshConstant"] >> params->adaptiveThreshConstant;
    fs["minMarkerPerimeterRate"] >> params->minMarkerPerimeterRate;
    fs["maxMarkerPerimeterRate"] >> params->maxMarkerPerimeterRate;
    fs["polygonalApproxAccuracyRate"] >> params->polygonalApproxAccuracyRate;
    fs["minCornerDistanceRate"] >> params->minCornerDistanceRate;
    fs["minDistanceToBorder"] >> params->minDistanceToBorder;
    fs["minMarkerDistanceRate"] >> params->minMarkerDistanceRate;
    fs["doCornerRefinement"] >> params->doCornerRefinement;
    fs["cornerRefinementWinSize"] >> params->cornerRefinementWinSize;
    fs["cornerRefinementMaxIterations"] >> params->cornerRefinementMaxIterations;
    fs["cornerRefinementMinAccuracy"] >> params->cornerRefinementMinAccuracy;
    fs["markerBorderBits"] >> params->markerBorderBits;
    fs["perspectiveRemovePixelPerCell"] >> params->perspectiveRemovePixelPerCell;
    fs["perspectiveRemoveIgnoredMarginPerCell"] >> params->perspectiveRemoveIgnoredMarginPerCell;
    fs["maxErroneousBitsInBorderRate"] >> params->maxErroneousBitsInBorderRate;
    fs["minOtsuStdDev"] >> params->minOtsuStdDev;
    fs["errorCorrectionRate"] >> params->errorCorrectionRate;
    return true;
}


/**
 */
int main(int argc, char *argv[]) {
    CommandLineParser parser(argc, argv, keys);
    parser.about(about);

    if(argc < 4) {
        parser.printMessage();
        return 0;
    }

    float squareLength = parser.get<float>("sl");
    float markerLength = parser.get<float>("ml");
    int dictionaryId = parser.get<int>("d");
    bool showRejected = parser.has("r");
    bool estimatePose = parser.has("c");
    bool autoScale = parser.has("as");
    float autoScaleFactor = autoScale ? parser.get<float>("as") : 1.f;

    Ptr<aruco::DetectorParameters> detectorParams = aruco::DetectorParameters::create();
    if(parser.has("dp")) {
        bool readOk = readDetectorParameters(parser.get<string>("dp"), detectorParams);
        if(!readOk) {
            cerr << "Invalid detector parameters file" << endl;
            return 0;
        }
    }

    int camId = parser.get<int>("ci");
    String video;

    if(parser.has("v")) {
        video = parser.get<String>("v");
    }

    if(!parser.check()) {
        parser.printErrors();
        return 0;
    }

    Ptr<aruco::Dictionary> dictionary =
        aruco::getPredefinedDictionary(aruco::PREDEFINED_DICTIONARY_NAME(dictionaryId));

    Mat camMatrix, distCoeffs;
    if(estimatePose) {
        bool readOk = readCameraParameters(parser.get<string>("c"), camMatrix, distCoeffs);
        if(!readOk) {
            cerr << "Invalid camera file" << endl;
            return 0;
        }
    }

    VideoCapture inputVideo;
    int waitTime;
    if(!video.empty()) {
        inputVideo.open(video);
        waitTime = 0;
    } else {
        inputVideo.open(camId);
        waitTime = 10;
    }

    double totalTime = 0;
    int totalIterations = 0;

    while(inputVideo.grab()) {
        Mat image, imageCopy;
        inputVideo.retrieve(image);

        double tick = (double)getTickCount();

        vector< int > markerIds;
        vector< Vec4i > diamondIds;
        vector< vector< Point2f > > markerCorners, rejectedMarkers, diamondCorners;
        vector< Vec3d > rvecs, tvecs;

        // detect markers
        aruco::detectMarkers(image, dictionary, markerCorners, markerIds, detectorParams,
                             rejectedMarkers);

        // detect diamonds
        if(markerIds.size() > 0)
            aruco::detectCharucoDiamond(image, markerCorners, markerIds,
                                        squareLength / markerLength, diamondCorners, diamondIds,
                                        camMatrix, distCoeffs);

        // estimate diamond pose
        if(estimatePose && diamondIds.size() > 0) {
            if(!autoScale) {
                aruco::estimatePoseSingleMarkers(diamondCorners, squareLength, camMatrix,
                                                 distCoeffs, rvecs, tvecs);
            } else {
                // if autoscale, extract square size from last diamond id
                for(unsigned int i = 0; i < diamondCorners.size(); i++) {
                    float autoSquareLength = autoScaleFactor * float(diamondIds[i].val[3]);
                    vector< vector< Point2f > > currentCorners;
                    vector< Vec3d > currentRvec, currentTvec;
                    currentCorners.push_back(diamondCorners[i]);
                    aruco::estimatePoseSingleMarkers(currentCorners, autoSquareLength, camMatrix,
                                                     distCoeffs, currentRvec, currentTvec);
                    rvecs.push_back(currentRvec[0]);
                    tvecs.push_back(currentTvec[0]);
                }
            }
        }


        double currentTime = ((double)getTickCount() - tick) / getTickFrequency();
        totalTime += currentTime;
        totalIterations++;
        if(totalIterations % 30 == 0) {
            cout << "Detection Time = " << currentTime * 1000 << " ms "
                 << "(Mean = " << 1000 * totalTime / double(totalIterations) << " ms)" << endl;
        }


        // draw results
        image.copyTo(imageCopy);
        if(markerIds.size() > 0)
            aruco::drawDetectedMarkers(imageCopy, markerCorners);


        if(showRejected && rejectedMarkers.size() > 0)
            aruco::drawDetectedMarkers(imageCopy, rejectedMarkers, noArray(), Scalar(100, 0, 255));

        if(diamondIds.size() > 0) {
            aruco::drawDetectedDiamonds(imageCopy, diamondCorners, diamondIds);

            if(estimatePose) {
                for(unsigned int i = 0; i < diamondIds.size(); i++)
                    aruco::drawAxis(imageCopy, camMatrix, distCoeffs, rvecs[i], tvecs[i],
                                    squareLength * 0.5f);
            }
        }

        imshow("out", imageCopy);
        char key = (char)waitKey(waitTime);
        if(key == 27) break;
    }

    return 0;
}