/*
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                          License Agreement
               For Open Source Computer Vision Library
                       (3-clause BSD License)

Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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*/

#include "precomp.hpp"
#include "opencv2/aruco/charuco.hpp"
#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>


namespace cv {
namespace aruco {

using namespace std;



/**
 */
void CharucoBoard::draw(Size outSize, OutputArray _img, int marginSize, int borderBits) {

    CV_Assert(outSize.area() > 0);
    CV_Assert(marginSize >= 0);

    _img.create(outSize, CV_8UC1);
    _img.setTo(255);
    Mat out = _img.getMat();
    Mat noMarginsImg =
        out.colRange(marginSize, out.cols - marginSize).rowRange(marginSize, out.rows - marginSize);

    double totalLengthX, totalLengthY;
    totalLengthX = _squareLength * _squaresX;
    totalLengthY = _squareLength * _squaresY;

    // proportional transformation
    double xReduction = totalLengthX / double(noMarginsImg.cols);
    double yReduction = totalLengthY / double(noMarginsImg.rows);

    // determine the zone where the chessboard is placed
    Mat chessboardZoneImg;
    if(xReduction > yReduction) {
        int nRows = int(totalLengthY / xReduction);
        int rowsMargins = (noMarginsImg.rows - nRows) / 2;
        chessboardZoneImg = noMarginsImg.rowRange(rowsMargins, noMarginsImg.rows - rowsMargins);
    } else {
        int nCols = int(totalLengthX / yReduction);
        int colsMargins = (noMarginsImg.cols - nCols) / 2;
        chessboardZoneImg = noMarginsImg.colRange(colsMargins, noMarginsImg.cols - colsMargins);
    }

    // determine the margins to draw only the markers
    // take the minimum just to be sure
    double squareSizePixels = min(double(chessboardZoneImg.cols) / double(_squaresX),
                                  double(chessboardZoneImg.rows) / double(_squaresY));

    double diffSquareMarkerLength = (_squareLength - _markerLength) / 2;
    int diffSquareMarkerLengthPixels =
        int(diffSquareMarkerLength * squareSizePixels / _squareLength);

    // draw markers
    Mat markersImg;
    aruco::_drawPlanarBoardImpl(this, chessboardZoneImg.size(), markersImg,
                                diffSquareMarkerLengthPixels, borderBits);

    markersImg.copyTo(chessboardZoneImg);

    // now draw black squares
    for(int y = 0; y < _squaresY; y++) {
        for(int x = 0; x < _squaresX; x++) {

            if(y % 2 != x % 2) continue; // white corner, dont do anything

            double startX, startY;
            startX = squareSizePixels * double(x);
            startY = double(chessboardZoneImg.rows) - squareSizePixels * double(y + 1);

            Mat squareZone = chessboardZoneImg.rowRange(int(startY), int(startY + squareSizePixels))
                                 .colRange(int(startX), int(startX + squareSizePixels));

            squareZone.setTo(0);
        }
    }
}



/**
 */
Ptr<CharucoBoard> CharucoBoard::create(int squaresX, int squaresY, float squareLength,
                                  float markerLength, const Ptr<Dictionary> &dictionary) {

    CV_Assert(squaresX > 1 && squaresY > 1 && markerLength > 0 && squareLength > markerLength);
    Ptr<CharucoBoard> res = makePtr<CharucoBoard>();

    res->_squaresX = squaresX;
    res->_squaresY = squaresY;
    res->_squareLength = squareLength;
    res->_markerLength = markerLength;
    res->dictionary = dictionary;

    float diffSquareMarkerLength = (squareLength - markerLength) / 2;

    // calculate Board objPoints
    for(int y = squaresY - 1; y >= 0; y--) {
        for(int x = 0; x < squaresX; x++) {

            if(y % 2 == x % 2) continue; // black corner, no marker here

            vector< Point3f > corners;
            corners.resize(4);
            corners[0] = Point3f(x * squareLength + diffSquareMarkerLength,
                                 y * squareLength + diffSquareMarkerLength + markerLength, 0);
            corners[1] = corners[0] + Point3f(markerLength, 0, 0);
            corners[2] = corners[0] + Point3f(markerLength, -markerLength, 0);
            corners[3] = corners[0] + Point3f(0, -markerLength, 0);
            res->objPoints.push_back(corners);
            // first ids in dictionary
            int nextId = (int)res->ids.size();
            res->ids.push_back(nextId);
        }
    }

    // now fill chessboardCorners
    for(int y = 0; y < squaresY - 1; y++) {
        for(int x = 0; x < squaresX - 1; x++) {
            Point3f corner;
            corner.x = (x + 1) * squareLength;
            corner.y = (y + 1) * squareLength;
            corner.z = 0;
            res->chessboardCorners.push_back(corner);
        }
    }

    res->_getNearestMarkerCorners();

    return res;
}



/**
  * Fill nearestMarkerIdx and nearestMarkerCorners arrays
  */
void CharucoBoard::_getNearestMarkerCorners() {

    nearestMarkerIdx.resize(chessboardCorners.size());
    nearestMarkerCorners.resize(chessboardCorners.size());

    unsigned int nMarkers = (unsigned int)ids.size();
    unsigned int nCharucoCorners = (unsigned int)chessboardCorners.size();
    for(unsigned int i = 0; i < nCharucoCorners; i++) {
        double minDist = -1; // distance of closest markers
        Point3f charucoCorner = chessboardCorners[i];
        for(unsigned int j = 0; j < nMarkers; j++) {
            // calculate distance from marker center to charuco corner
            Point3f center = Point3f(0, 0, 0);
            for(unsigned int k = 0; k < 4; k++)
                center += objPoints[j][k];
            center /= 4.;
            double sqDistance;
            Point3f distVector = charucoCorner - center;
            sqDistance = distVector.x * distVector.x + distVector.y * distVector.y;
            if(j == 0 || fabs(sqDistance - minDist) < cv::pow(0.01 * _squareLength, 2)) {
                // if same minimum distance (or first iteration), add to nearestMarkerIdx vector
                nearestMarkerIdx[i].push_back(j);
                minDist = sqDistance;
            } else if(sqDistance < minDist) {
                // if finding a closest marker to the charuco corner
                nearestMarkerIdx[i].clear(); // remove any previous added marker
                nearestMarkerIdx[i].push_back(j); // add the new closest marker index
                minDist = sqDistance;
            }
        }

        // for each of the closest markers, search the marker corner index closer
        // to the charuco corner
        for(unsigned int j = 0; j < nearestMarkerIdx[i].size(); j++) {
            nearestMarkerCorners[i].resize(nearestMarkerIdx[i].size());
            double minDistCorner = -1;
            for(unsigned int k = 0; k < 4; k++) {
                double sqDistance;
                Point3f distVector = charucoCorner - objPoints[nearestMarkerIdx[i][j]][k];
                sqDistance = distVector.x * distVector.x + distVector.y * distVector.y;
                if(k == 0 || sqDistance < minDistCorner) {
                    // if this corner is closer to the charuco corner, assing its index
                    // to nearestMarkerCorners
                    minDistCorner = sqDistance;
                    nearestMarkerCorners[i][j] = k;
                }
            }
        }
    }
}


/**
  * Remove charuco corners if any of their minMarkers closest markers has not been detected
  */
static int _filterCornersWithoutMinMarkers(const Ptr<CharucoBoard> &_board,
                                                    InputArray _allCharucoCorners,
                                                    InputArray _allCharucoIds,
                                                    InputArray _allArucoIds, int minMarkers,
                                                    OutputArray _filteredCharucoCorners,
                                                    OutputArray _filteredCharucoIds) {

    CV_Assert(minMarkers >= 0 && minMarkers <= 2);

    vector< Point2f > filteredCharucoCorners;
    vector< int > filteredCharucoIds;
    // for each charuco corner
    for(unsigned int i = 0; i < _allCharucoIds.getMat().total(); i++) {
        int currentCharucoId = _allCharucoIds.getMat().at< int >(i);
        int totalMarkers = 0; // nomber of closest marker detected
        // look for closest markers
        for(unsigned int m = 0; m < _board->nearestMarkerIdx[currentCharucoId].size(); m++) {
            int markerId = _board->ids[_board->nearestMarkerIdx[currentCharucoId][m]];
            bool found = false;
            for(unsigned int k = 0; k < _allArucoIds.getMat().total(); k++) {
                if(_allArucoIds.getMat().at< int >(k) == markerId) {
                    found = true;
                    break;
                }
            }
            if(found) totalMarkers++;
        }
        // if enough markers detected, add the charuco corner to the final list
        if(totalMarkers >= minMarkers) {
            filteredCharucoIds.push_back(currentCharucoId);
            filteredCharucoCorners.push_back(_allCharucoCorners.getMat().at< Point2f >(i));
        }
    }

    // parse output
    Mat(filteredCharucoCorners).copyTo(_filteredCharucoCorners);
    Mat(filteredCharucoIds).copyTo(_filteredCharucoIds);
    return (int)_filteredCharucoIds.total();
}


/**
  * ParallelLoopBody class for the parallelization of the charuco corners subpixel refinement
  * Called from function _selectAndRefineChessboardCorners()
  */
class CharucoSubpixelParallel : public ParallelLoopBody {
    public:
    CharucoSubpixelParallel(const Mat *_grey, vector< Point2f > *_filteredChessboardImgPoints,
                            vector< Size > *_filteredWinSizes, const Ptr<DetectorParameters> &_params)
        : grey(_grey), filteredChessboardImgPoints(_filteredChessboardImgPoints),
          filteredWinSizes(_filteredWinSizes), params(_params) {}

    void operator()(const Range &range) const CV_OVERRIDE {
        const int begin = range.start;
        const int end = range.end;

        for(int i = begin; i < end; i++) {
            vector< Point2f > in;
            in.push_back((*filteredChessboardImgPoints)[i]);
            Size winSize = (*filteredWinSizes)[i];
            if(winSize.height == -1 || winSize.width == -1)
                winSize = Size(params->cornerRefinementWinSize, params->cornerRefinementWinSize);

            cornerSubPix(*grey, in, winSize, Size(),
                         TermCriteria(TermCriteria::MAX_ITER | TermCriteria::EPS,
                                      params->cornerRefinementMaxIterations,
                                      params->cornerRefinementMinAccuracy));

            (*filteredChessboardImgPoints)[i] = in[0];
        }
    }

    private:
    CharucoSubpixelParallel &operator=(const CharucoSubpixelParallel &); // to quiet MSVC

    const Mat *grey;
    vector< Point2f > *filteredChessboardImgPoints;
    vector< Size > *filteredWinSizes;
    const Ptr<DetectorParameters> &params;
};




/**
  * @brief From all projected chessboard corners, select those inside the image and apply subpixel
  * refinement. Returns number of valid corners.
  */
static int _selectAndRefineChessboardCorners(InputArray _allCorners, InputArray _image,
                                                      OutputArray _selectedCorners,
                                                      OutputArray _selectedIds,
                                                      const vector< Size > &winSizes) {

    const int minDistToBorder = 2; // minimum distance of the corner to the image border
    // remaining corners, ids and window refinement sizes after removing corners outside the image
    vector< Point2f > filteredChessboardImgPoints;
    vector< Size > filteredWinSizes;
    vector< int > filteredIds;

    // filter corners outside the image
    Rect innerRect(minDistToBorder, minDistToBorder, _image.getMat().cols - 2 * minDistToBorder,
                   _image.getMat().rows - 2 * minDistToBorder);
    for(unsigned int i = 0; i < _allCorners.getMat().total(); i++) {
        if(innerRect.contains(_allCorners.getMat().at< Point2f >(i))) {
            filteredChessboardImgPoints.push_back(_allCorners.getMat().at< Point2f >(i));
            filteredIds.push_back(i);
            filteredWinSizes.push_back(winSizes[i]);
        }
    }

    // if none valid, return 0
    if(filteredChessboardImgPoints.size() == 0) return 0;

    // corner refinement, first convert input image to grey
    Mat grey;
    if(_image.getMat().type() == CV_8UC3)
        cvtColor(_image.getMat(), grey, COLOR_BGR2GRAY);
    else
        _image.getMat().copyTo(grey);

    const Ptr<DetectorParameters> params = DetectorParameters::create(); // use default params for corner refinement

    //// For each of the charuco corners, apply subpixel refinement using its correspondind winSize
    // for(unsigned int i=0; i<filteredChessboardImgPoints.size(); i++) {
    //    vector<Point2f> in;
    //    in.push_back(filteredChessboardImgPoints[i]);
    //    Size winSize = filteredWinSizes[i];
    //    if(winSize.height == -1 || winSize.width == -1)
    //        winSize = Size(params.cornerRefinementWinSize, params.cornerRefinementWinSize);
    //    cornerSubPix(grey, in, winSize, Size(),
    //                 TermCriteria(TermCriteria::MAX_ITER | TermCriteria::EPS,
    //                              params->cornerRefinementMaxIterations,
    //                              params->cornerRefinementMinAccuracy));
    //    filteredChessboardImgPoints[i] = in[0];
    //}

    // this is the parallel call for the previous commented loop (result is equivalent)
    parallel_for_(
        Range(0, (int)filteredChessboardImgPoints.size()),
        CharucoSubpixelParallel(&grey, &filteredChessboardImgPoints, &filteredWinSizes, params));

    // parse output
    Mat(filteredChessboardImgPoints).copyTo(_selectedCorners);
    Mat(filteredIds).copyTo(_selectedIds);
    return (int)filteredChessboardImgPoints.size();
}


/**
  * Calculate the maximum window sizes for corner refinement for each charuco corner based on the
  * distance to their closest markers
  */
static void _getMaximumSubPixWindowSizes(InputArrayOfArrays markerCorners, InputArray markerIds,
                                         InputArray charucoCorners, const Ptr<CharucoBoard> &board,
                                         vector< Size > &sizes) {

    unsigned int nCharucoCorners = (unsigned int)charucoCorners.getMat().total();
    sizes.resize(nCharucoCorners, Size(-1, -1));

    for(unsigned int i = 0; i < nCharucoCorners; i++) {
        if(charucoCorners.getMat().at< Point2f >(i) == Point2f(-1, -1)) continue;
        if(board->nearestMarkerIdx[i].size() == 0) continue;

        double minDist = -1;
        int counter = 0;

        // calculate the distance to each of the closest corner of each closest marker
        for(unsigned int j = 0; j < board->nearestMarkerIdx[i].size(); j++) {
            // find marker
            int markerId = board->ids[board->nearestMarkerIdx[i][j]];
            int markerIdx = -1;
            for(unsigned int k = 0; k < markerIds.getMat().total(); k++) {
                if(markerIds.getMat().at< int >(k) == markerId) {
                    markerIdx = k;
                    break;
                }
            }
            if(markerIdx == -1) continue;
            Point2f markerCorner =
                markerCorners.getMat(markerIdx).at< Point2f >(board->nearestMarkerCorners[i][j]);
            Point2f charucoCorner = charucoCorners.getMat().at< Point2f >(i);
            double dist = norm(markerCorner - charucoCorner);
            if(minDist == -1) minDist = dist; // if first distance, just assign it
            minDist = min(dist, minDist);
            counter++;
        }

        // if this is the first closest marker, dont do anything
        if(counter == 0)
            continue;
        else {
            // else, calculate the maximum window size
            int winSizeInt = int(minDist - 2); // remove 2 pixels for safety
            if(winSizeInt < 1) winSizeInt = 1; // minimum size is 1
            if(winSizeInt > 10) winSizeInt = 10; // maximum size is 10
            sizes[i] = Size(winSizeInt, winSizeInt);
        }
    }
}



/**
  * Interpolate charuco corners using approximated pose estimation
  */
static int _interpolateCornersCharucoApproxCalib(InputArrayOfArrays _markerCorners,
                                                 InputArray _markerIds, InputArray _image,
                                                 const Ptr<CharucoBoard> &_board,
                                                 InputArray _cameraMatrix, InputArray _distCoeffs,
                                                 OutputArray _charucoCorners,
                                                 OutputArray _charucoIds) {

    CV_Assert(_image.getMat().channels() == 1 || _image.getMat().channels() == 3);
    CV_Assert(_markerCorners.total() == _markerIds.getMat().total() &&
              _markerIds.getMat().total() > 0);

    // approximated pose estimation using marker corners
    Mat approximatedRvec, approximatedTvec;
    int detectedBoardMarkers;
    Ptr<Board> _b = _board.staticCast<Board>();
    detectedBoardMarkers =
        aruco::estimatePoseBoard(_markerCorners, _markerIds, _b,
                                 _cameraMatrix, _distCoeffs, approximatedRvec, approximatedTvec);

    if(detectedBoardMarkers == 0) return 0;

    // project chessboard corners
    vector< Point2f > allChessboardImgPoints;

    projectPoints(_board->chessboardCorners, approximatedRvec, approximatedTvec, _cameraMatrix,
                  _distCoeffs, allChessboardImgPoints);


    // calculate maximum window sizes for subpixel refinement. The size is limited by the distance
    // to the closes marker corner to avoid erroneous displacements to marker corners
    vector< Size > subPixWinSizes;
    _getMaximumSubPixWindowSizes(_markerCorners, _markerIds, allChessboardImgPoints, _board,
                                 subPixWinSizes);

    // filter corners outside the image and subpixel-refine charuco corners
    return _selectAndRefineChessboardCorners(allChessboardImgPoints, _image, _charucoCorners,
                                             _charucoIds, subPixWinSizes);
}



/**
  * Interpolate charuco corners using local homography
  */
static int _interpolateCornersCharucoLocalHom(InputArrayOfArrays _markerCorners,
                                              InputArray _markerIds, InputArray _image,
                                              const Ptr<CharucoBoard> &_board,
                                              OutputArray _charucoCorners,
                                              OutputArray _charucoIds) {

    CV_Assert(_image.getMat().channels() == 1 || _image.getMat().channels() == 3);
    CV_Assert(_markerCorners.total() == _markerIds.getMat().total() &&
              _markerIds.getMat().total() > 0);

    unsigned int nMarkers = (unsigned int)_markerIds.getMat().total();

    // calculate local homographies for each marker
    vector< Mat > transformations;
    transformations.resize(nMarkers);
    for(unsigned int i = 0; i < nMarkers; i++) {
        vector< Point2f > markerObjPoints2D;
        int markerId = _markerIds.getMat().at< int >(i);
        vector< int >::const_iterator it = find(_board->ids.begin(), _board->ids.end(), markerId);
        if(it == _board->ids.end()) continue;
        int boardIdx = (int)std::distance<std::vector<int>::const_iterator>(_board->ids.begin(), it);
        markerObjPoints2D.resize(4);
        for(unsigned int j = 0; j < 4; j++)
            markerObjPoints2D[j] =
                Point2f(_board->objPoints[boardIdx][j].x, _board->objPoints[boardIdx][j].y);

        transformations[i] = getPerspectiveTransform(markerObjPoints2D, _markerCorners.getMat(i));
    }

    unsigned int nCharucoCorners = (unsigned int)_board->chessboardCorners.size();
    vector< Point2f > allChessboardImgPoints(nCharucoCorners, Point2f(-1, -1));

    // for each charuco corner, calculate its interpolation position based on the closest markers
    // homographies
    for(unsigned int i = 0; i < nCharucoCorners; i++) {
        Point2f objPoint2D = Point2f(_board->chessboardCorners[i].x, _board->chessboardCorners[i].y);

        vector< Point2f > interpolatedPositions;
        for(unsigned int j = 0; j < _board->nearestMarkerIdx[i].size(); j++) {
            int markerId = _board->ids[_board->nearestMarkerIdx[i][j]];
            int markerIdx = -1;
            for(unsigned int k = 0; k < _markerIds.getMat().total(); k++) {
                if(_markerIds.getMat().at< int >(k) == markerId) {
                    markerIdx = k;
                    break;
                }
            }
            if(markerIdx != -1) {
                vector< Point2f > in, out;
                in.push_back(objPoint2D);
                perspectiveTransform(in, out, transformations[markerIdx]);
                interpolatedPositions.push_back(out[0]);
            }
        }

        // none of the closest markers detected
        if(interpolatedPositions.size() == 0) continue;

        // more than one closest marker detected, take middle point
        if(interpolatedPositions.size() > 1) {
            allChessboardImgPoints[i] = (interpolatedPositions[0] + interpolatedPositions[1]) / 2.;
        }
        // a single closest marker detected
        else allChessboardImgPoints[i] = interpolatedPositions[0];
    }

    // calculate maximum window sizes for subpixel refinement. The size is limited by the distance
    // to the closes marker corner to avoid erroneous displacements to marker corners
    vector< Size > subPixWinSizes;
    _getMaximumSubPixWindowSizes(_markerCorners, _markerIds, allChessboardImgPoints, _board,
                                 subPixWinSizes);


    // filter corners outside the image and subpixel-refine charuco corners
    return _selectAndRefineChessboardCorners(allChessboardImgPoints, _image, _charucoCorners,
                                             _charucoIds, subPixWinSizes);
}



/**
  */
int interpolateCornersCharuco(InputArrayOfArrays _markerCorners, InputArray _markerIds,
                              InputArray _image, const Ptr<CharucoBoard> &_board,
                              OutputArray _charucoCorners, OutputArray _charucoIds,
                              InputArray _cameraMatrix, InputArray _distCoeffs, int minMarkers) {

    // if camera parameters are avaible, use approximated calibration
    if(_cameraMatrix.total() != 0) {
        _interpolateCornersCharucoApproxCalib(_markerCorners, _markerIds, _image, _board,
                                                     _cameraMatrix, _distCoeffs, _charucoCorners,
                                                     _charucoIds);
    }
    // else use local homography
    else {
        _interpolateCornersCharucoLocalHom(_markerCorners, _markerIds, _image, _board,
                                                  _charucoCorners, _charucoIds);
    }

    // to return a charuco corner, its closest aruco markers should have been detected
    return _filterCornersWithoutMinMarkers(_board, _charucoCorners, _charucoIds, _markerIds,
                                           minMarkers, _charucoCorners, _charucoIds);
}



/**
  */
void drawDetectedCornersCharuco(InputOutputArray _image, InputArray _charucoCorners,
                                InputArray _charucoIds, Scalar cornerColor) {

    CV_Assert(_image.getMat().total() != 0 &&
              (_image.getMat().channels() == 1 || _image.getMat().channels() == 3));
    CV_Assert((_charucoCorners.getMat().total() == _charucoIds.getMat().total()) ||
              _charucoIds.getMat().total() == 0);

    unsigned int nCorners = (unsigned int)_charucoCorners.getMat().total();
    for(unsigned int i = 0; i < nCorners; i++) {
        Point2f corner = _charucoCorners.getMat().at< Point2f >(i);

        // draw first corner mark
        rectangle(_image, corner - Point2f(3, 3), corner + Point2f(3, 3), cornerColor, 1, LINE_AA);

        // draw ID
        if(_charucoIds.total() != 0) {
            int id = _charucoIds.getMat().at< int >(i);
            stringstream s;
            s << "id=" << id;
            putText(_image, s.str(), corner + Point2f(5, -5), FONT_HERSHEY_SIMPLEX, 0.5,
                    cornerColor, 2);
        }
    }
}


/**
  * Check if a set of 3d points are enough for calibration. Z coordinate is ignored.
  * Only axis paralel lines are considered
  */
static bool _arePointsEnoughForPoseEstimation(const vector< Point3f > &points) {

    if(points.size() < 4) return false;

    vector< double > sameXValue; // different x values in points
    vector< int > sameXCounter;  // number of points with the x value in sameXValue
    for(unsigned int i = 0; i < points.size(); i++) {
        bool found = false;
        for(unsigned int j = 0; j < sameXValue.size(); j++) {
            if(sameXValue[j] == points[i].x) {
                found = true;
                sameXCounter[j]++;
            }
        }
        if(!found) {
            sameXValue.push_back(points[i].x);
            sameXCounter.push_back(1);
        }
    }

    // count how many x values has more than 2 points
    int moreThan2 = 0;
    for(unsigned int i = 0; i < sameXCounter.size(); i++) {
        if(sameXCounter[i] >= 2) moreThan2++;
    }

    // if we have more than 1 two xvalues with more than 2 points, calibration is ok
    if(moreThan2 > 1)
        return true;
    else
        return false;
}


/**
  */
bool estimatePoseCharucoBoard(InputArray _charucoCorners, InputArray _charucoIds,
                              const Ptr<CharucoBoard> &_board, InputArray _cameraMatrix, InputArray _distCoeffs,
                              OutputArray _rvec, OutputArray _tvec, bool useExtrinsicGuess) {

    CV_Assert((_charucoCorners.getMat().total() == _charucoIds.getMat().total()));

    // need, at least, 4 corners
    if(_charucoIds.getMat().total() < 4) return false;

    vector< Point3f > objPoints;
    objPoints.reserve(_charucoIds.getMat().total());
    for(unsigned int i = 0; i < _charucoIds.getMat().total(); i++) {
        int currId = _charucoIds.getMat().at< int >(i);
        CV_Assert(currId >= 0 && currId < (int)_board->chessboardCorners.size());
        objPoints.push_back(_board->chessboardCorners[currId]);
    }

    // points need to be in different lines, check if detected points are enough
    if(!_arePointsEnoughForPoseEstimation(objPoints)) return false;

    solvePnP(objPoints, _charucoCorners, _cameraMatrix, _distCoeffs, _rvec, _tvec, useExtrinsicGuess);

    return true;
}




/**
  */
double calibrateCameraCharuco(InputArrayOfArrays _charucoCorners, InputArrayOfArrays _charucoIds,
                              const Ptr<CharucoBoard> &_board, Size imageSize,
                              InputOutputArray _cameraMatrix, InputOutputArray _distCoeffs,
                              OutputArrayOfArrays _rvecs, OutputArrayOfArrays _tvecs,
                              OutputArray _stdDeviationsIntrinsics,
                              OutputArray _stdDeviationsExtrinsics,
                              OutputArray _perViewErrors,
                              int flags, TermCriteria criteria) {

    CV_Assert(_charucoIds.total() > 0 && (_charucoIds.total() == _charucoCorners.total()));

    // Join object points of charuco corners in a single vector for calibrateCamera() function
    vector< vector< Point3f > > allObjPoints;
    allObjPoints.resize(_charucoIds.total());
    for(unsigned int i = 0; i < _charucoIds.total(); i++) {
        unsigned int nCorners = (unsigned int)_charucoIds.getMat(i).total();
        CV_Assert(nCorners > 0 && nCorners == _charucoCorners.getMat(i).total());
        allObjPoints[i].reserve(nCorners);

        for(unsigned int j = 0; j < nCorners; j++) {
            int pointId = _charucoIds.getMat(i).at< int >(j);
            CV_Assert(pointId >= 0 && pointId < (int)_board->chessboardCorners.size());
            allObjPoints[i].push_back(_board->chessboardCorners[pointId]);
        }
    }

    return calibrateCamera(allObjPoints, _charucoCorners, imageSize, _cameraMatrix, _distCoeffs,
                           _rvecs, _tvecs, _stdDeviationsIntrinsics, _stdDeviationsExtrinsics,
                           _perViewErrors, flags, criteria);
}



/**
 */
double calibrateCameraCharuco(InputArrayOfArrays _charucoCorners, InputArrayOfArrays _charucoIds,
  const Ptr<CharucoBoard> &_board, Size imageSize,
  InputOutputArray _cameraMatrix, InputOutputArray _distCoeffs,
  OutputArrayOfArrays _rvecs, OutputArrayOfArrays _tvecs, int flags,
  TermCriteria criteria) {
    return calibrateCameraCharuco(_charucoCorners, _charucoIds, _board, imageSize, _cameraMatrix, _distCoeffs, _rvecs,
      _tvecs, noArray(), noArray(), noArray(), flags, criteria);
}


/**
 */
void detectCharucoDiamond(InputArray _image, InputArrayOfArrays _markerCorners,
                          InputArray _markerIds, float squareMarkerLengthRate,
                          OutputArrayOfArrays _diamondCorners, OutputArray _diamondIds,
                          InputArray _cameraMatrix, InputArray _distCoeffs) {

    CV_Assert(_markerIds.total() > 0 && _markerIds.total() == _markerCorners.total());

    const float minRepDistanceRate = 1.302455f;

    // create Charuco board layout for diamond (3x3 layout)
    Ptr<Dictionary> dict = getPredefinedDictionary(PREDEFINED_DICTIONARY_NAME(0));
    Ptr<CharucoBoard> _charucoDiamondLayout = CharucoBoard::create(3, 3, squareMarkerLengthRate, 1., dict);


    vector< vector< Point2f > > diamondCorners;
    vector< Vec4i > diamondIds;

    // stores if the detected markers have been assigned or not to a diamond
    vector< bool > assigned(_markerIds.total(), false);
    if(_markerIds.total() < 4) return; // a diamond need at least 4 markers

    // convert input image to grey
    Mat grey;
    if(_image.getMat().type() == CV_8UC3)
        cvtColor(_image.getMat(), grey, COLOR_BGR2GRAY);
    else
        _image.getMat().copyTo(grey);

    // for each of the detected markers, try to find a diamond
    for(unsigned int i = 0; i < _markerIds.total(); i++) {
        if(assigned[i]) continue;

        // calculate marker perimeter
        float perimeterSq = 0;
        Mat corners = _markerCorners.getMat(i);
        for(int c = 0; c < 4; c++) {
          Point2f edge = corners.at< Point2f >(c) - corners.at< Point2f >((c + 1) % 4);
          perimeterSq += edge.x*edge.x + edge.y*edge.y;
        }
        // maximum reprojection error relative to perimeter
        float minRepDistance = sqrt(perimeterSq) * minRepDistanceRate;

        int currentId = _markerIds.getMat().at< int >(i);

        // prepare data to call refineDetectedMarkers()
        // detected markers (only the current one)
        vector< Mat > currentMarker;
        vector< int > currentMarkerId;
        currentMarker.push_back(_markerCorners.getMat(i));
        currentMarkerId.push_back(currentId);

        // marker candidates (the rest of markers if they have not been assigned)
        vector< Mat > candidates;
        vector< int > candidatesIdxs;
        for(unsigned int k = 0; k < assigned.size(); k++) {
            if(k == i) continue;
            if(!assigned[k]) {
                candidates.push_back(_markerCorners.getMat(k));
                candidatesIdxs.push_back(k);
            }
        }
        if(candidates.size() < 3) break; // we need at least 3 free markers

        // modify charuco layout id to make sure all the ids are different than current id
        for(int k = 1; k < 4; k++)
            _charucoDiamondLayout->ids[k] = currentId + 1 + k;
        // current id is assigned to [0], so it is the marker on the top
        _charucoDiamondLayout->ids[0] = currentId;

        // try to find the rest of markers in the diamond
        vector< int > acceptedIdxs;
        Ptr<Board> _b = _charucoDiamondLayout.staticCast<Board>();
        aruco::refineDetectedMarkers(grey, _b,
                                     currentMarker, currentMarkerId,
                                     candidates, noArray(), noArray(), minRepDistance, -1, false,
                                     acceptedIdxs);

        // if found, we have a diamond
        if(currentMarker.size() == 4) {

            assigned[i] = true;

            // calculate diamond id, acceptedIdxs array indicates the markers taken from candidates
            // array
            Vec4i markerId;
            markerId[0] = currentId;
            for(int k = 1; k < 4; k++) {
                int currentMarkerIdx = candidatesIdxs[acceptedIdxs[k - 1]];
                markerId[k] = _markerIds.getMat().at< int >(currentMarkerIdx);
                assigned[currentMarkerIdx] = true;
            }

            // interpolate the charuco corners of the diamond
            vector< Point2f > currentMarkerCorners;
            Mat aux;
            interpolateCornersCharuco(currentMarker, currentMarkerId, grey, _charucoDiamondLayout,
                                      currentMarkerCorners, aux, _cameraMatrix, _distCoeffs);

            // if everything is ok, save the diamond
            if(currentMarkerCorners.size() > 0) {
                // reorder corners
                vector< Point2f > currentMarkerCornersReorder;
                currentMarkerCornersReorder.resize(4);
                currentMarkerCornersReorder[0] = currentMarkerCorners[2];
                currentMarkerCornersReorder[1] = currentMarkerCorners[3];
                currentMarkerCornersReorder[2] = currentMarkerCorners[1];
                currentMarkerCornersReorder[3] = currentMarkerCorners[0];

                diamondCorners.push_back(currentMarkerCornersReorder);
                diamondIds.push_back(markerId);
            }
        }
    }


    if(diamondIds.size() > 0) {
        // parse output
        Mat(diamondIds).copyTo(_diamondIds);

        _diamondCorners.create((int)diamondCorners.size(), 1, CV_32FC2);
        for(unsigned int i = 0; i < diamondCorners.size(); i++) {
            _diamondCorners.create(4, 1, CV_32FC2, i, true);
            for(int j = 0; j < 4; j++) {
                _diamondCorners.getMat(i).at< Point2f >(j) = diamondCorners[i][j];
            }
        }
    }
}




/**
  */
void drawCharucoDiamond(const Ptr<Dictionary> &dictionary, Vec4i ids, int squareLength, int markerLength,
                        OutputArray _img, int marginSize, int borderBits) {

    CV_Assert(squareLength > 0 && markerLength > 0 && squareLength > markerLength);
    CV_Assert(marginSize >= 0 && borderBits > 0);

    // create a charuco board similar to a charuco marker and print it
    Ptr<CharucoBoard> board =
        CharucoBoard::create(3, 3, (float)squareLength, (float)markerLength, dictionary);

    // assign the charuco marker ids
    for(int i = 0; i < 4; i++)
        board->ids[i] = ids[i];

    Size outSize(3 * squareLength + 2 * marginSize, 3 * squareLength + 2 * marginSize);
    board->draw(outSize, _img, marginSize, borderBits);
}


/**
 */
void drawDetectedDiamonds(InputOutputArray _image, InputArrayOfArrays _corners,
                          InputArray _ids, Scalar borderColor) {


    CV_Assert(_image.getMat().total() != 0 &&
              (_image.getMat().channels() == 1 || _image.getMat().channels() == 3));
    CV_Assert((_corners.total() == _ids.total()) || _ids.total() == 0);

    // calculate colors
    Scalar textColor, cornerColor;
    textColor = cornerColor = borderColor;
    swap(textColor.val[0], textColor.val[1]);     // text color just sawp G and R
    swap(cornerColor.val[1], cornerColor.val[2]); // corner color just sawp G and B

    int nMarkers = (int)_corners.total();
    for(int i = 0; i < nMarkers; i++) {
        Mat currentMarker = _corners.getMat(i);
        CV_Assert(currentMarker.total() == 4 && currentMarker.type() == CV_32FC2);

        // draw marker sides
        for(int j = 0; j < 4; j++) {
            Point2f p0, p1;
            p0 = currentMarker.at< Point2f >(j);
            p1 = currentMarker.at< Point2f >((j + 1) % 4);
            line(_image, p0, p1, borderColor, 1);
        }

        // draw first corner mark
        rectangle(_image, currentMarker.at< Point2f >(0) - Point2f(3, 3),
                  currentMarker.at< Point2f >(0) + Point2f(3, 3), cornerColor, 1, LINE_AA);

        // draw id composed by four numbers
        if(_ids.total() != 0) {
            Point2f cent(0, 0);
            for(int p = 0; p < 4; p++)
                cent += currentMarker.at< Point2f >(p);
            cent = cent / 4.;
            stringstream s;
            s << "id=" << _ids.getMat().at< Vec4i >(i);
            putText(_image, s.str(), cent, FONT_HERSHEY_SIMPLEX, 0.5, textColor, 2);
        }
    }
}
}
}
