niobures's picture
ffmpeg (v6.0/v7.x), gensim, numpy, opencv
be94e5d verified
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html
#include "../precomp.hpp"
#include <opencv2/core/utils/logger.hpp>
#include "opencv2/objdetect/aruco_board.hpp"
#include <opencv2/objdetect/aruco_dictionary.hpp>
#include <numeric>
namespace cv {
namespace aruco {
using namespace std;
struct Board::Impl {
Dictionary dictionary;
std::vector<int> ids;
std::vector<std::vector<Point3f> > objPoints;
Point3f rightBottomBorder;
explicit Impl(const Dictionary& _dictionary):
dictionary(_dictionary)
{}
virtual ~Impl() {}
Impl(const Impl&) = delete;
Impl& operator=(const Impl&) = delete;
virtual void matchImagePoints(InputArrayOfArrays detectedCorners, InputArray detectedIds, OutputArray _objPoints,
OutputArray imgPoints) const;
virtual void generateImage(Size outSize, OutputArray img, int marginSize, int borderBits) const;
};
void Board::Impl::matchImagePoints(InputArrayOfArrays detectedCorners, InputArray detectedIds, OutputArray _objPoints,
OutputArray imgPoints) const {
CV_Assert(detectedIds.total() == detectedCorners.total());
CV_Assert(detectedIds.total() > 0ull);
CV_Assert(detectedCorners.depth() == CV_32F);
size_t nDetectedMarkers = detectedIds.total();
vector<Point3f> objPnts;
objPnts.reserve(nDetectedMarkers);
vector<Point2f> imgPnts;
imgPnts.reserve(nDetectedMarkers);
// look for detected markers that belong to the board and get their information
Mat detectedIdsMat = detectedIds.getMat();
vector<Mat> detectedCornersVecMat;
detectedCorners.getMatVector(detectedCornersVecMat);
CV_Assert((int)detectedCornersVecMat.front().total()*detectedCornersVecMat.front().channels() == 8);
for(unsigned int i = 0; i < nDetectedMarkers; i++) {
int currentId = detectedIdsMat.at<int>(i);
for(unsigned int j = 0; j < ids.size(); j++) {
if(currentId == ids[j]) {
for(int p = 0; p < 4; p++) {
objPnts.push_back(objPoints[j][p]);
imgPnts.push_back(detectedCornersVecMat[i].ptr<Point2f>(0)[p]);
}
}
}
}
// create output
Mat(objPnts).copyTo(_objPoints);
Mat(imgPnts).copyTo(imgPoints);
}
void Board::Impl::generateImage(Size outSize, OutputArray img, int marginSize, int borderBits) const {
CV_Assert(!outSize.empty());
CV_Assert(marginSize >= 0);
img.create(outSize, CV_8UC1);
Mat out = img.getMat();
out.setTo(Scalar::all(255));
out.adjustROI(-marginSize, -marginSize, -marginSize, -marginSize);
// calculate max and min values in XY plane
CV_Assert(objPoints.size() > 0);
float minX, maxX, minY, maxY;
minX = maxX = objPoints[0][0].x;
minY = maxY = objPoints[0][0].y;
for(unsigned int i = 0; i < objPoints.size(); i++) {
for(int j = 0; j < 4; j++) {
minX = min(minX, objPoints[i][j].x);
maxX = max(maxX, objPoints[i][j].x);
minY = min(minY, objPoints[i][j].y);
maxY = max(maxY, objPoints[i][j].y);
}
}
float sizeX = maxX - minX;
float sizeY = maxY - minY;
// now paint each marker
Mat marker;
Point2f outCorners[3];
Point2f inCorners[3];
for(unsigned int m = 0; m < objPoints.size(); m++) {
// transform corners to markerZone coordinates
for(int j = 0; j < 3; j++) {
Point2f pf = Point2f(objPoints[m][j].x, objPoints[m][j].y);
// move top left to 0, 0
pf -= Point2f(minX, minY);
pf.x = pf.x / sizeX * float(out.cols);
pf.y = pf.y / sizeY * float(out.rows);
outCorners[j] = pf;
}
// get marker
Size dst_sz(outCorners[2] - outCorners[0]); // assuming CCW order
dst_sz.width = dst_sz.height = std::min(dst_sz.width, dst_sz.height); //marker should be square
dictionary.generateImageMarker(ids[m], dst_sz.width, marker, borderBits);
if((outCorners[0].y == outCorners[1].y) && (outCorners[1].x == outCorners[2].x)) {
// marker is aligned to image axes
marker.copyTo(out(Rect(outCorners[0], dst_sz)));
continue;
}
// interpolate tiny marker to marker position in markerZone
inCorners[0] = Point2f(-0.5f, -0.5f);
inCorners[1] = Point2f(marker.cols - 0.5f, -0.5f);
inCorners[2] = Point2f(marker.cols - 0.5f, marker.rows - 0.5f);
// remove perspective
Mat transformation = getAffineTransform(inCorners, outCorners);
warpAffine(marker, out, transformation, out.size(), INTER_LINEAR,
BORDER_TRANSPARENT);
}
}
Board::Board(const Ptr<Impl>& _impl):
impl(_impl)
{
CV_Assert(impl);
}
Board::Board():
impl(nullptr)
{}
Board::Board(InputArrayOfArrays objPoints, const Dictionary &dictionary, InputArray ids):
Board(new Board::Impl(dictionary)) {
CV_Assert(objPoints.total() == ids.total());
CV_Assert(objPoints.type() == CV_32FC3 || objPoints.type() == CV_32FC1);
vector<vector<Point3f> > obj_points_vector;
Point3f rightBottomBorder = Point3f(0.f, 0.f, 0.f);
for (unsigned int i = 0; i < objPoints.total(); i++) {
vector<Point3f> corners;
Mat corners_mat = objPoints.getMat(i);
if (corners_mat.type() == CV_32FC1)
corners_mat = corners_mat.reshape(3);
CV_Assert(corners_mat.total() == 4);
for (int j = 0; j < 4; j++) {
const Point3f &corner = corners_mat.at<Point3f>(j);
corners.push_back(corner);
rightBottomBorder.x = std::max(rightBottomBorder.x, corner.x);
rightBottomBorder.y = std::max(rightBottomBorder.y, corner.y);
rightBottomBorder.z = std::max(rightBottomBorder.z, corner.z);
}
obj_points_vector.push_back(corners);
}
ids.copyTo(impl->ids);
impl->objPoints = obj_points_vector;
impl->rightBottomBorder = rightBottomBorder;
}
const Dictionary& Board::getDictionary() const {
CV_Assert(this->impl);
return this->impl->dictionary;
}
const vector<vector<Point3f> >& Board::getObjPoints() const {
CV_Assert(this->impl);
return this->impl->objPoints;
}
const Point3f& Board::getRightBottomCorner() const {
CV_Assert(this->impl);
return this->impl->rightBottomBorder;
}
const vector<int>& Board::getIds() const {
CV_Assert(this->impl);
return this->impl->ids;
}
/** @brief Implementation of draw planar board that accepts a raw Board pointer.
*/
void Board::generateImage(Size outSize, OutputArray img, int marginSize, int borderBits) const {
CV_Assert(this->impl);
impl->generateImage(outSize, img, marginSize, borderBits);
}
void Board::matchImagePoints(InputArrayOfArrays detectedCorners, InputArray detectedIds, OutputArray objPoints,
OutputArray imgPoints) const {
CV_Assert(this->impl);
impl->matchImagePoints(detectedCorners, detectedIds, objPoints, imgPoints);
}
struct GridBoardImpl : public Board::Impl {
GridBoardImpl(const Dictionary& _dictionary, const Size& _size, float _markerLength, float _markerSeparation):
Board::Impl(_dictionary),
size(_size),
markerLength(_markerLength),
markerSeparation(_markerSeparation),
legacyPattern(false)
{
CV_Assert(size.width*size.height > 0 && markerLength > 0 && markerSeparation > 0);
}
// number of markers in X and Y directions
const Size size;
// marker side length (normally in meters)
float markerLength;
// separation between markers in the grid
float markerSeparation;
// set pre4.6.0 chessboard pattern behavior (even row count patterns have a white box in the upper left corner)
bool legacyPattern;
};
GridBoard::GridBoard() {}
GridBoard::GridBoard(const Size& size, float markerLength, float markerSeparation,
const Dictionary &dictionary, InputArray ids):
Board(new GridBoardImpl(dictionary, size, markerLength, markerSeparation)) {
float onePin = markerLength / ((float)(dictionary.markerSize+2));
if (markerSeparation < onePin*.7f) {
CV_LOG_WARNING(NULL, "Marker border " << markerSeparation << " is less than 70% of ArUco pin size "
<< onePin << ". Please increase markerSeparation or decrease markerLength for stable board detection");
}
size_t totalMarkers = (size_t) size.width*size.height;
CV_Assert(ids.empty() || totalMarkers == ids.total());
vector<vector<Point3f> > objPoints;
objPoints.reserve(totalMarkers);
if(!ids.empty()) {
ids.copyTo(impl->ids);
} else {
impl->ids = std::vector<int>(totalMarkers);
std::iota(impl->ids.begin(), impl->ids.end(), 0);
}
// calculate Board objPoints
for (int y = 0; y < size.height; y++) {
for (int x = 0; x < size.width; x++) {
vector <Point3f> corners(4);
corners[0] = Point3f(x * (markerLength + markerSeparation),
y * (markerLength + markerSeparation), 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);
objPoints.push_back(corners);
}
}
impl->objPoints = objPoints;
impl->rightBottomBorder = Point3f(size.width * markerLength + markerSeparation * (size.width - 1),
size.height * markerLength + markerSeparation * (size.height - 1), 0.f);
}
Size GridBoard::getGridSize() const {
CV_Assert(impl);
return static_pointer_cast<GridBoardImpl>(impl)->size;
}
float GridBoard::getMarkerLength() const {
CV_Assert(impl);
return static_pointer_cast<GridBoardImpl>(impl)->markerLength;
}
float GridBoard::getMarkerSeparation() const {
CV_Assert(impl);
return static_pointer_cast<GridBoardImpl>(impl)->markerSeparation;
}
struct CharucoBoardImpl : Board::Impl {
CharucoBoardImpl(const Dictionary& _dictionary, const Size& _size, float _squareLength, float _markerLength):
Board::Impl(_dictionary),
size(_size),
squareLength(_squareLength),
markerLength(_markerLength),
legacyPattern(false)
{}
// chessboard size
Size size;
// Physical size of chessboard squares side (normally in meters)
float squareLength;
// Physical marker side length (normally in meters)
float markerLength;
// set pre4.6.0 chessboard pattern behavior (even row count patterns have a white box in the upper left corner)
bool legacyPattern;
// vector of chessboard 3D corners precalculated
std::vector<Point3f> chessboardCorners;
// for each charuco corner, nearest marker index in ids array
std::vector<std::vector<int> > nearestMarkerIdx;
// for each charuco corner, nearest marker corner id of each marker
std::vector<std::vector<int> > nearestMarkerCorners;
void createCharucoBoard();
void calcNearestMarkerCorners();
void matchImagePoints(InputArrayOfArrays detectedCharuco, InputArray detectedIds,
OutputArray objPoints, OutputArray imgPoints) const override;
void generateImage(Size outSize, OutputArray img, int marginSize, int borderBits) const override;
};
void CharucoBoardImpl::createCharucoBoard() {
float diffSquareMarkerLength = (squareLength - markerLength) / 2;
int totalMarkers = (int)(ids.size());
// calculate Board objPoints
int nextId = 0;
objPoints.clear();
for(int y = 0; y < size.height; y++) {
for(int x = 0; x < size.width; x++) {
if(legacyPattern && (size.height % 2 == 0)) { // legacy behavior only for even row count patterns
if((y + 1) % 2 == x % 2) continue; // black corner, no marker here
} else {
if(y % 2 == x % 2) continue; // black corner, no marker here
}
vector<Point3f> corners(4);
corners[0] = Point3f(x * squareLength + diffSquareMarkerLength,
y * squareLength + diffSquareMarkerLength, 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);
objPoints.push_back(corners);
// first ids in dictionary
if (totalMarkers == 0)
ids.push_back(nextId);
nextId++;
}
}
if (totalMarkers > 0 && nextId != totalMarkers)
CV_Error(cv::Error::StsBadSize, "Size of ids must be equal to the number of markers: "+std::to_string(nextId));
// now fill chessboardCorners
chessboardCorners.clear();
for(int y = 0; y < size.height - 1; y++) {
for(int x = 0; x < size.width - 1; x++) {
Point3f corner;
corner.x = (x + 1) * squareLength;
corner.y = (y + 1) * squareLength;
corner.z = 0;
chessboardCorners.push_back(corner);
}
}
rightBottomBorder = Point3f(size.width * squareLength, size.height * squareLength, 0.f);
calcNearestMarkerCorners();
}
/** Fill nearestMarkerIdx and nearestMarkerCorners arrays */
void CharucoBoardImpl::calcNearestMarkerCorners() {
nearestMarkerIdx.clear();
nearestMarkerCorners.clear();
nearestMarkerIdx.resize(chessboardCorners.size());
nearestMarkerCorners.resize(chessboardCorners.size());
unsigned int nMarkers = (unsigned int)objPoints.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;
}
}
}
}
}
void CharucoBoardImpl::matchImagePoints(InputArrayOfArrays detectedCharuco, InputArray detectedIds,
OutputArray outObjPoints, OutputArray outImgPoints) const {
CV_CheckEQ(detectedIds.total(), detectedCharuco.total(), "Number of corners and ids must be equal");
CV_Assert(detectedIds.total() > 0ull);
CV_Assert(detectedCharuco.depth() == CV_32F);
// detectedCharuco includes charuco corners as vector<Point2f> or Mat.
// Python bindings could add extra dimension to detectedCharuco and therefore vector<Mat> case is additionally processed.
CV_Assert((detectedCharuco.isMat() || detectedCharuco.isVector() || detectedCharuco.isMatVector() || detectedCharuco.isUMatVector())
&& detectedCharuco.depth() == CV_32F);
size_t nDetected = detectedCharuco.total();
vector<Point3f> objPnts(nDetected);
vector<Point2f> imgPnts(nDetected);
Mat detectedCharucoMat, detectedIdsMat = detectedIds.getMat();
if (!detectedCharuco.isMatVector()) {
detectedCharucoMat = detectedCharuco.getMat();
CV_Assert(detectedCharucoMat.checkVector(2));
}
std::vector<Mat> detectedCharucoVecMat;
if (detectedCharuco.isMatVector()) {
detectedCharuco.getMatVector(detectedCharucoVecMat);
}
for(size_t i = 0ull; i < nDetected; i++) {
int pointId = detectedIdsMat.at<int>((int)i);
CV_Assert(pointId >= 0 && pointId < (int)chessboardCorners.size());
objPnts[i] = chessboardCorners[pointId];
if (detectedCharuco.isMatVector()) {
CV_Assert((int)detectedCharucoVecMat[i].total() * detectedCharucoVecMat[i].channels() == 2);
imgPnts[i] = detectedCharucoVecMat[i].ptr<Point2f>(0)[0];
}
else
imgPnts[i] = detectedCharucoMat.ptr<Point2f>(0)[i];
}
Mat(objPnts).copyTo(outObjPoints);
Mat(imgPnts).copyTo(outImgPoints);
}
void CharucoBoardImpl::generateImage(Size outSize, OutputArray img, int marginSize, int borderBits) const {
CV_Assert(!outSize.empty());
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);
// the size of the chessboard square depends on the location of the chessboard
float pixInSquare = 0.f;
// the size of the chessboard in pixels
Size pixInChessboard(noMarginsImg.cols, noMarginsImg.rows);
// determine the zone where the chessboard is placed
float pixInSquareX = (float)noMarginsImg.cols / (float)size.width;
float pixInSquareY = (float)noMarginsImg.rows / (float)size.height;
Point startChessboard(0, 0);
if (pixInSquareX <= pixInSquareY) {
// the width of "noMarginsImg" image determines the dimensions of the chessboard
pixInSquare = pixInSquareX;
pixInChessboard.height = cvRound(pixInSquare*size.height);
int rowsMargin = (noMarginsImg.rows - pixInChessboard.height) / 2;
startChessboard.y = rowsMargin;
}
else {
// the height of "noMarginsImg" image determines the dimensions of the chessboard
pixInSquare = pixInSquareY;
pixInChessboard.width = cvRound(pixInSquare*size.width);
int colsMargin = (noMarginsImg.cols - pixInChessboard.width) / 2;
startChessboard.x = colsMargin;
}
// determine the zone where the chessboard is located
Mat chessboardZoneImg = noMarginsImg(Rect(startChessboard, pixInChessboard));
// marker size in pixels
const float pixInMarker = markerLength/squareLength*pixInSquare;
// the size of the marker margin in pixels
const float pixInMarginMarker = 0.5f*(pixInSquare - pixInMarker);
// determine the zone where the aruco markers are located
int endArucoX = cvRound(pixInSquare*(size.width-1)+pixInMarginMarker+pixInMarker);
int endArucoY = cvRound(pixInSquare*(size.height-1)+pixInMarginMarker+pixInMarker);
Mat arucoZone = chessboardZoneImg(Range(cvRound(pixInMarginMarker), endArucoY), Range(cvRound(pixInMarginMarker), endArucoX));
// draw markers
Board::Impl::generateImage(arucoZone.size(), arucoZone, 0, borderBits);
// now draw black squares
for(int y = 0; y < size.height; y++) {
for(int x = 0; x < size.width; x++) {
if(legacyPattern && (size.height % 2 == 0)) { // legacy behavior only for even row count patterns
if((y + 1) % 2 != x % 2) continue; // white corner, dont do anything
} else {
if(y % 2 != x % 2) continue; // white corner, dont do anything
}
float startX = pixInSquare * float(x);
float startY = pixInSquare * float(y);
Mat squareZone = chessboardZoneImg(Range(cvRound(startY), cvRound(startY + pixInSquare)),
Range(cvRound(startX), cvRound(startX + pixInSquare)));
squareZone.setTo(0);
}
}
}
CharucoBoard::CharucoBoard(){}
CharucoBoard::CharucoBoard(const Size& size, float squareLength, float markerLength,
const Dictionary &dictionary, InputArray ids):
Board(new CharucoBoardImpl(dictionary, size, squareLength, markerLength)) {
CV_Assert(size.width > 1 && size.height > 1 && markerLength > 0 && squareLength > markerLength);
float onePin = markerLength / ((float)(dictionary.markerSize+2));
float markerSeparation = (squareLength - markerLength)/2.f;
if (markerSeparation < onePin*.7f) {
CV_LOG_WARNING(NULL, "Marker border " << markerSeparation << " is less than 70% of ArUco pin size "
<< onePin <<". Please increase markerSeparation or decrease markerLength for stable board detection");
}
ids.copyTo(impl->ids);
static_pointer_cast<CharucoBoardImpl>(impl)->createCharucoBoard();
}
Size CharucoBoard::getChessboardSize() const {
CV_Assert(impl);
return static_pointer_cast<CharucoBoardImpl>(impl)->size;
}
float CharucoBoard::getSquareLength() const {
CV_Assert(impl);
return static_pointer_cast<CharucoBoardImpl>(impl)->squareLength;
}
float CharucoBoard::getMarkerLength() const {
CV_Assert(impl);
return static_pointer_cast<CharucoBoardImpl>(impl)->markerLength;
}
void CharucoBoard::setLegacyPattern(bool legacyPattern) {
CV_Assert(impl);
if (static_pointer_cast<CharucoBoardImpl>(impl)->legacyPattern != legacyPattern)
{
static_pointer_cast<CharucoBoardImpl>(impl)->legacyPattern = legacyPattern;
static_pointer_cast<CharucoBoardImpl>(impl)->createCharucoBoard();
}
}
bool CharucoBoard::getLegacyPattern() const {
CV_Assert(impl);
return static_pointer_cast<CharucoBoardImpl>(impl)->legacyPattern;
}
bool CharucoBoard::checkCharucoCornersCollinear(InputArray charucoIds) const {
CV_Assert(impl);
Mat charucoIdsMat = charucoIds.getMat();
unsigned int nCharucoCorners = (unsigned int)charucoIdsMat.total();
if (nCharucoCorners <= 2)
return true;
// only test if there are 3 or more corners
auto board = static_pointer_cast<CharucoBoardImpl>(impl);
CV_Assert(board->chessboardCorners.size() >= charucoIdsMat.total());
Vec<double, 3> point0(board->chessboardCorners[charucoIdsMat.at<int>(0)].x,
board->chessboardCorners[charucoIdsMat.at<int>(0)].y, 1);
Vec<double, 3> point1(board->chessboardCorners[charucoIdsMat.at<int>(1)].x,
board->chessboardCorners[charucoIdsMat.at<int>(1)].y, 1);
// create a line from the first two points.
Vec<double, 3> testLine = point0.cross(point1);
Vec<double, 3> testPoint(0, 0, 1);
double divisor = sqrt(testLine[0]*testLine[0] + testLine[1]*testLine[1]);
CV_Assert(divisor != 0.0);
// normalize the line with normal
testLine /= divisor;
double dotProduct;
for (unsigned int i = 2; i < nCharucoCorners; i++){
testPoint(0) = board->chessboardCorners[charucoIdsMat.at<int>(i)].x;
testPoint(1) = board->chessboardCorners[charucoIdsMat.at<int>(i)].y;
// if testPoint is on testLine, dotProduct will be zero (or very, very close)
dotProduct = testPoint.dot(testLine);
if (std::abs(dotProduct) > 1e-6){
return false;
}
}
// no points found that were off of testLine, return true that all points collinear.
return true;
}
std::vector<Point3f> CharucoBoard::getChessboardCorners() const {
CV_Assert(impl);
return static_pointer_cast<CharucoBoardImpl>(impl)->chessboardCorners;
}
std::vector<std::vector<int> > CharucoBoard::getNearestMarkerIdx() const {
CV_Assert(impl);
return static_pointer_cast<CharucoBoardImpl>(impl)->nearestMarkerIdx;
}
std::vector<std::vector<int> > CharucoBoard::getNearestMarkerCorners() const {
CV_Assert(impl);
return static_pointer_cast<CharucoBoardImpl>(impl)->nearestMarkerCorners;
}
}
}