/**
* Takes a 3d plane and draws its transform on the given image.
*/
void TableObjectDetector::drawTablePlane(Mat img, Mat* plane, KinectCalibParams* calib) {
Point pt[1][4];
Mat R = calib->getR();
Mat Rt; transpose(R, Rt);
Mat T = calib->getT();
Mat K = calib->getRGBIntrinsics();
for (int i=0; i<4; i++) {
Mat p = plane->col(i+1);
// Apply extrinsics
Mat prgbw = Rt*p - T;
// Calculate transform to RGB plane
Mat prgb_hat = K*prgbw;
Point prgb((int)(prgb_hat.at<double>(0)/prgb_hat.at<double>(2)),
(int)(prgb_hat.at<double>(1)/prgb_hat.at<double>(2)));
pt[0][i] = prgb;
}
const Point* ppt[1] = {pt[0]};
int npt[] = {4};
fillPoly(img, ppt, npt, 1, Scalar(255, 0, 255), 8);
}
void BodyModel::drawTriangle(Point p1, Point p2, Point p3)
{
Point rook_points[1][3];
rook_points[0][0] = p1;
rook_points[0][1] = p2;
rook_points[0][2] = p3;
const Point* ppt[1] = { rook_points[0] };
int npt[] = { 3 };
fillPoly(_mask, ppt, npt, 1, Scalar(255, 255, 255), 8);
}
void BodyModel::drawPolygon(Point upperRight, Point upperLeft, Point lowerRight, Point lowerLeft)
{
Point rook_points[1][4];
rook_points[0][0] = upperRight;
rook_points[0][3] = upperLeft;
rook_points[0][1] = lowerRight;
rook_points[0][2] = lowerLeft;
const Point* ppt[1] = { rook_points[0] };
int npt[] = { 4 };
fillPoly(_mask, ppt, npt, 1, Scalar(255, 255, 255), 8);
}
void drawPolyPoints() {
int n = poly_points.size();
int npt[] = { n };
/** Create some points */
cv::Point **points = new cv::Point*[1];
points[0]=new cv::Point[n];
for (int i=0; i<n; i++) {
points[0][i] = poly_points[i];
}
const cv::Point* ppt[1] = { points[0] };
fillPoly( grid, ppt, npt, 1, pen_color, line_type);
delete [] points[0];
delete [] points;
}
void BodyModel::drawBodyShape(Point upperRight, Point upperLeft, Point lowerRight, Point lowerLeft, int max)
{
Point rook_points[1][8];
rook_points[0][0] = upperRight;
rook_points[0][7] = upperLeft;
rook_points[0][3] = lowerRight;
rook_points[0][4] = lowerLeft;
rook_points[0][2] = ( upperRight + lowerRight ) / 2;
rook_points[0][1] = ( upperRight + rook_points[0][2] ) / 2 + Point(max, - 2 * abs(max));
rook_points[0][5] = ( upperLeft + lowerLeft ) / 2;
rook_points[0][6] = ( upperLeft + rook_points[0][5] ) / 2 + Point(- max, 0);
const Point* ppt[1] = { rook_points[0] };
int npt[] = { 8 };
fillPoly(_mask, ppt, npt, 1, Scalar(255, 255, 255), 8);
}
// === FUNCTION ======================================================================
// Name: get_masked_frame
// Description: Masks the frame based on slope and roi. Mask returned by pointer.
// =====================================================================================
cv::Mat get_masked_frame ( cv::Rect roi, double slope, cv::Mat* frame, cv::Mat* mask )
{
cv::Point corners[1][4];
//Set the frame
*mask=cv::Mat::zeros( frame->size(), CV_8UC1 );
cv::Mat masked_frame;
if( slope==0 )
{
// TODO: Could use direction handling here.
corners[0][0] = roi.br();
corners[0][1] = cv::Point( frame->cols, roi.y+roi.height );
corners[0][2] = corners[0][1]-cv::Point( 0, roi.height );
corners[0][3] = corners[0][0]-cv::Point( 0, roi.height );
}
else if( isinf( slope ) )
{
{
corners[0][0] = cv::Point( roi.x, frame->rows );
corners[0][1] = cv::Point( roi.x, roi.y+roi.height);
}
{
corners[0][0] = roi.tl();
corners[0][1] = cv::Point( roi.x, 0 );
}
corners[0][2] = corners[0][1]+cv::Point( roi.width, 0);
corners[0][3] = corners[0][0]+cv::Point( roi.width, 0 );
}
else
{
corners[0][0].x = ( int ) ( (frame->rows + slope*roi.x-roi.y)/slope );
corners[0][0].y = frame->rows;
corners[0][1] = cv::Point( ( int )( (-roi.y + slope * roi.x ) / slope ), 0 );
corners[0][2] = corners[0][1] + cv::Point(roi.width, 0);
corners[0][3] = corners[0][0] + cv::Point(roi.width, 0);
}
// This is weird, but follows OpenCV docs.
const cv::Point* ppt[1] = { corners[0] };
const int npt[] = { 4 };
fillPoly( *mask, ppt, npt, 1, 255 );
frame->copyTo(masked_frame, *mask);
return masked_frame;
} // ----- end of function get_masked_frame -----
void RoadDetection::drawRoadShape(Mat frame, vector<Point> points, Scalar color, double alpha)
{
Mat copy;
Point shapePoints[1][3];
int npt[] = { 3 };
if (points.size() <= 0)
{
return;
}
for (size_t i = 0; i < points.size(); i++)
{
shapePoints[0][i] = points[i];
}
const Point* ppt[1] = { shapePoints[0] };
frame.copyTo(copy);
fillPoly(copy, ppt, npt, 1, color, CV_AA);
addWeighted(copy, alpha, frame, 1.0 - alpha, 0.0, frame);
}
void FieldLineDetector::createThresholdedImg(Mat& src)
{
vector<vector<cv::Point> > cont;
vector<vector<cv::Point> > contPoly;
vector<Vec4i> hierarchy;
Mat imgBwInv;
imgThres = threshold(src);
// find large contours and remove them from thresholded image
bitwise_not(imgThres, imgBwInv);
findContours(imgBwInv, cont, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE,
cv::Point(0, 0));
for (int i = 0; i < cont.size(); i++)
{
double area = contourArea(cont[i]);
if (area > 100000)
{
contPoly.push_back(cont[i]);
}
}
fillPoly(imgThres, contPoly, Scalar(255, 255, 255));
imshow("thres", imgThres);
}
void drawTriangle(int mx, int my, int x, int y, Mat img){
int thickness = 1;
int lineType = 8;
int wide = WIDE/mx;
int height = HEIGHT/my;
Point center=getCenter(mx,my,x,y);
/** Create some points */
Point rook_points[1][3];
rook_points[0][0] = Point( center.x, center.y-(height/2-5) );
rook_points[0][1] = Point( center.x-(wide/2-5), center.y+(height/2-5) );
rook_points[0][2] = Point( center.x+(wide/2-5), center.y+(height/2-5) );
const Point* ppt[1] = { rook_points[0] };
int npt[] = { 3 };
fillPoly( img,
ppt,
npt,
thickness,
Scalar( 255, 255, 255 ),
lineType );
}
void ModelMaker::extractModel(cv::Mat origframe)
{
// qDebug()<<"Frame is"<<frame.empty();
for(int i = 0; i < centroids.size(); i++) {
Mat subtractedframe(origframe);
subtractedframe = subtractBack(origframe);
Mat polymask = subtractedframe.clone();
// cv::cvtColor(frameMat, frameMat, CV_BGR2BGRA);
// cv::cvtColor(polymask, polymask, CV_BGR2BGRA);
//cv::rectangle(mask, Point( 0, 0 ), Point( mask.cols, mask.rows), Scalar( 0, 255,0,255 ),-1, 8 ); //Fill all mask in
polymask.setTo(Scalar(0,0,0,0));
//Polgon Masking
polygon = paintCanvas->polygons.at(i);
Point poly_points[polygon.size()];
//Find point furthest from center
Point furthest = Point(paintCanvas->centerPoint.x()*xscale,paintCanvas->centerPoint.y()*yscale); //set to center
int scaledcenterx = paintCanvas->centerPoint.x()*xscale;
int scaledcentery = paintCanvas->centerPoint.y()*yscale;
int scaledheadx= paintCanvas->headPoint.x()*xscale;
int scaledheady=paintCanvas->headPoint.y()*yscale;
float biggestdistancesquared=0;
for(int j=0;j<polygon.size();j++)
{
poly_points[j]=Point(xscale*polygon.at(j).x(), yscale*polygon.at(j).y());
Point candidate = Point(xscale*polygon.at(j).x(), yscale*polygon.at(j).y());
float distancecandidatesquared;
//Find furthest
distancecandidatesquared= (candidate.x - scaledcenterx)*(candidate.x - scaledcenterx) + (candidate.y - scaledcentery)*(candidate.y - scaledcentery);
if(distancecandidatesquared>biggestdistancesquared){
biggestdistancesquared=distancecandidatesquared;
qDebug()<<"biggcandidate x "<<candidate.x <<" y "<<candidate.y << " distance ="<<biggestdistancesquared;
}
}
const Point* ppt[1] = { poly_points };
int npt[] = { polygon.size() };
fillPoly( polymask,
ppt,
npt,
1,
Scalar( 255, 255,255,255 ),
8,
0);
//Debug
// cv::circle(origframe,cv::Point(scaledcenterx,scaledcentery),1,Scalar(255,255,255,255),2);
// cv::circle(origframe,cv::Point(scaledheadx,scaledheady),1,Scalar(255,0,255, 254),2);
//cv::circle(polymask,cv::Point(scaledcenterx,scaledcentery),1,Scalar(255,255,255,255),2);
// cv::circle(polymask,cv::Point(scaledheadx,scaledheady),1,Scalar(255,0,255, 254),2);
// cv::circle(subtractedframe,cv::Point(scaledcenterx,scaledcentery),1,Scalar(255,255,255,255),2);
// cv::circle(subtractedframe,cv::Point(scaledheadx,scaledheady),1,Scalar(255,0,255, 254),2);
//background subtraction: take original image, apply background as a mask, save over original
//bitwise_and(subtractedframe, polymask, subtractedframe);
qDebug()<<"Roi "<<x1<<" "<<y1<<" "<<x2<<" "<<y2<<" ";
cv::cvtColor(polymask,polymask, CV_RGB2GRAY);
//Full alpha mask = polygon selection (a =200) + BG subtracted organism (a= 255) + Center Mark ( a = 250) + head mark (a = 240)
//Set Head to alpha=240
//Set Center to Alpha = 250
//Everything inside mask == alpha 200
//Everything outside alpha=100;
//BG subtracted ant = 255
Mat maskedsubtraction;
subtractedframe.copyTo(maskedsubtraction,polymask); // note that m.copyTo(m,mask) will have no masking effect
cvtColor(maskedsubtraction, maskedsubtraction,CV_BGR2GRAY);
polymask = polymask+155; //255 moves to 255, 0 moves to 155
polymask = polymask - 55; //255 moves to 200, 155 moves to 100
maskedsubtraction = polymask+maskedsubtraction;
cv::circle(maskedsubtraction,cv::Point(scaledcenterx,scaledcentery),1,Scalar(250),2); //Encode the Center
cv::circle(maskedsubtraction,cv::Point(scaledheadx,scaledheady),1,Scalar(240),2); //encode the head
Mat bgr;
bgr=origframe.clone();
Mat alpha;
maskedsubtraction.copyTo(alpha);
Mat bgra;
cvtColor(origframe, bgra,CV_BGR2BGRA); //Copy the origframe, we'll write over it next
// forming array of matrices is quite efficient operations,
// because the matrix data is not copied, only the headers
Mat in[] = { bgr, alpha };
// BGRa[0] -> bgr[0], BGRa[1] -> bgr[1],
// BGRa[2] -> bgr[2], BGRa[3] -> alpha[0]
int from_to[] = { 0,0, 1,1, 2,2, 3,3 };
mixChannels( in, 2, &bgra, 1, from_to, 4 ); // input array, number of files in input array, destination, number of files in destination, from-to array, number of pairs in from-to
QString ext = ".png";
// QString fullframe = savepath+paintCanvas->polyNames.at(i)+"_"+QString::number(centroids[i].x())+"_"+QString::number(centroids[i].y())+"_"+QString::number(currentFrame)+ext;
QString modelfilename = savepath+paintCanvas->polyNames.at(i)+"_f"+QString::number(currentFrame)+ext;
//DEBUG IMAGES
/*
imwrite(modelfilename.toStdString()+"_subtraction",subtractedframe);
imwrite(modelfilename.toStdString()+"_polymask",polymask);
imwrite(modelfilename.toStdString()+"_alpha",alpha);
*/
//save out Model
//Full Keyframe
// imwrite(modelfilename.toStdString()+"_keyframe",bgra); //Disabled for now
qDebug()<<"Saved out: "<<modelfilename;
//***Crop and Rotate ***//
qDebug()<<"crop centered on "<<scaledcenterx<<" "<<scaledcentery;
//crop the frame based on ROI
Point2f src_center(scaledcenterx, scaledcentery);
//To do this correctly use getRectSubPix instead of frameMat(MYROI) method
// getRectSubPix only works with certain image formats (this is undocumented in opencv : P
// so we have to do that cutting and mixing again!
getRectSubPix(bgr, cv::Size(sqrt(biggestdistancesquared)*2,sqrt(biggestdistancesquared)*2), src_center, bgr);
getRectSubPix(alpha, cv::Size(sqrt(biggestdistancesquared)*2,sqrt(biggestdistancesquared)*2), src_center, alpha);
Mat bgracropped;
cvtColor(bgr, bgracropped,CV_BGR2BGRA); //Copy the origframe, we'll write over it next
Mat inagain[] = { bgr, alpha };
int from_to2[] = { 0,0, 1,1, 2,2, 3,3 };
//Note: the height and width dimensions have to be the same for the inputs and outputs
mixChannels( inagain, 2, &bgracropped, 1, from_to2, 4 ); // input array, number of files in input array, destination, number of files in destination, from-to array, number of pairs in from-to
//rotate the cropped frame about the center of the cropped frame.
qDebug()<<"Rotate that image "<<angle;
bgracropped = rotateImage(bgracropped, angle);//Rotate full image about this center
//after I rotate clear the global angle
angle =0;
//debug
angle=-1;
// Save the Nicely Rotated and Cropped Model File
imwrite(modelfilename.toStdString(),bgracropped);
centroids.clear();
maxXY.clear();
minXY.clear();
paintCanvas->polyNames.clear();
paintCanvas->polygons.clear();
paintCanvas->masks.pop_back();
polyinfo = "Polygon cleared";
paintCanvas->temp.clear();
ui->statusBar->showMessage(polyinfo,2000);
paintCanvas->replyMask = replyNull;
capture.set(CV_CAP_PROP_POS_FRAMES,(double)currentFrame);
}
}
Scalar refineSegments(const Mat& img,
Mat& mask,
Mat& dst,
vector<Point>& contour,
vector<Point>& second_contour,
Point2i& previous)
{
// int niters = 3;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
Mat temp;
blur(mask, temp, Size(11,11));
temp = temp > 85.0;
findContours( temp, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE );
if(dst.data==NULL)
dst = Mat::zeros(img.size(), CV_8UC1);
else
dst.setTo(Scalar(0));
if( contours.size() == 0 )
return Scalar(-1,-1);
// iterate through all the top-level contours,
// draw each connected component with its own random color
int idx = 0, largestComp = -1, secondlargest = -1;
double maxWArea = 0, maxJArea = 0;
vector<double> justarea(contours.size());
vector<double> weightedarea(contours.size());
// for( ; idx >= 0; idx = hierarchy[idx][0] )
for (; idx<contours.size(); idx++)
{
const vector<Point>& c = contours[idx];
Scalar _mean = mean(Mat(contours[idx]));
justarea[idx] = fabs(contourArea(Mat(c)));
weightedarea[idx] = fabs(contourArea(Mat(c))) /
((previous.x >- 1) ? (1.0 + norm(Point(_mean[0],_mean[1])-previous)) : 1.0); //consider distance from last blob
}
for (idx = 0; idx<contours.size(); idx++) {
if( weightedarea[idx] > maxWArea )
{
maxWArea = weightedarea[idx];
largestComp = idx;
}
}
for (idx = 0; idx < contours.size(); idx++) {
if ( justarea[idx] > maxJArea && idx != largestComp ) {
maxJArea = justarea[idx];
secondlargest = idx;
}
}
Scalar color( 255 );
// cout << "largest cc " << largestComp << endl;
// drawContours( dst, contours, largestComp, color, CV_FILLED); //, 8, hierarchy );
// for (idx=0; idx<contours[largestComp].size()-1; idx++) {
// line(dst, contours[largestComp][idx], contours[largestComp][idx+1], color, 2);
//
if(largestComp >= 0) {
//find top-left values
int maxx = -INT_MAX,miny = INT_MAX;
int num = contours[largestComp].size();
for (int i=0; i<num; i++) {
if(contours[largestComp][i].x > maxx) maxx = contours[largestComp][i].x;
if(contours[largestComp][i].y < miny) miny = contours[largestComp][i].y;
}
//crop contour to 150x150 "window"
vector<Point> newblob = contours[largestComp];
// int maxxp150 = MAX(maxx-200,0),minyp150 = MIN(miny+170,480);
//
// for (int i=0; i<num; i++) {
// Point _p = contours[largestComp][i];
// if(_p.x > maxxp150 && _p.y < minyp150) newblob.push_back(_p);
// else newblob.push_back(Point(MAX(_p.x,maxxp150),MIN(_p.y,minyp150)));
// }
Point* pts = &(newblob[0]);
num = newblob.size();
fillPoly(dst, (const Point**)(&pts), &num, 1, color);
Scalar b = mean(Mat(newblob)); //center of the blob
b[0] += 40; b[1] -= 40;
b[2] = justarea[largestComp];
contour.clear();
contour = newblob;
second_contour.clear();
if(secondlargest >= 0) {
second_contour = contours[secondlargest];
b[3] = maxJArea;
}
previous.x = b[0]; previous.y = b[1];
return b;
} else
return Scalar(-1,-1);
}
void PlateLines::processImage(Mat inputImage, vector<TextLine> textLines, float sensitivity)
{
if (this->debug)
cout << "PlateLines findLines" << endl;
timespec startTime;
getTimeMonotonic(&startTime);
// Ignore input images that are pure white or pure black
Scalar avgPixelIntensity = mean(inputImage);
if (avgPixelIntensity[0] >= 252)
return;
else if (avgPixelIntensity[0] <= 3)
return;
// Do a bilateral filter to clean the noise but keep edges sharp
Mat smoothed(inputImage.size(), inputImage.type());
adaptiveBilateralFilter(inputImage, smoothed, Size(3,3), 45, 45);
int morph_elem = 2;
int morph_size = 2;
Mat element = getStructuringElement( morph_elem, Size( 2*morph_size + 1, 2*morph_size+1 ), Point( morph_size, morph_size ) );
Mat edges(inputImage.size(), inputImage.type());
Canny(smoothed, edges, 66, 133);
// Create a mask that is dilated based on the detected characters
Mat mask = Mat::zeros(inputImage.size(), CV_8U);
for (unsigned int i = 0; i < textLines.size(); i++)
{
vector<vector<Point> > polygons;
polygons.push_back(textLines[i].textArea);
fillPoly(mask, polygons, Scalar(255,255,255));
}
dilate(mask, mask, getStructuringElement( 1, Size( 1 + 1, 2*1+1 ), Point( 1, 1 ) ));
bitwise_not(mask, mask);
// AND canny edges with the character mask
bitwise_and(edges, mask, edges);
vector<PlateLine> hlines = this->getLines(edges, sensitivity, false);
vector<PlateLine> vlines = this->getLines(edges, sensitivity, true);
for (unsigned int i = 0; i < hlines.size(); i++)
this->horizontalLines.push_back(hlines[i]);
for (unsigned int i = 0; i < vlines.size(); i++)
this->verticalLines.push_back(vlines[i]);
// if debug is enabled, draw the image
if (this->debug)
{
Mat debugImgHoriz(edges.size(), edges.type());
Mat debugImgVert(edges.size(), edges.type());
edges.copyTo(debugImgHoriz);
edges.copyTo(debugImgVert);
cvtColor(debugImgHoriz,debugImgHoriz,CV_GRAY2BGR);
cvtColor(debugImgVert,debugImgVert,CV_GRAY2BGR);
for( size_t i = 0; i < this->horizontalLines.size(); i++ )
{
line( debugImgHoriz, this->horizontalLines[i].line.p1, this->horizontalLines[i].line.p2, Scalar(0,0,255), 1, CV_AA);
}
for( size_t i = 0; i < this->verticalLines.size(); i++ )
{
line( debugImgVert, this->verticalLines[i].line.p1, this->verticalLines[i].line.p2, Scalar(0,0,255), 1, CV_AA);
}
vector<Mat> images;
images.push_back(debugImgHoriz);
images.push_back(debugImgVert);
Mat dashboard = drawImageDashboard(images, debugImgVert.type(), 1);
displayImage(pipelineData->config, "Hough Lines", dashboard);
}
if (pipelineData->config->debugTiming)
{
timespec endTime;
getTimeMonotonic(&endTime);
cout << "Plate Lines Time: " << diffclock(startTime, endTime) << "ms." << endl;
}
}
void MainWindow::mouseHandler(int event, int x, int y, int flags, void* param)
{
MainWindow* window = (MainWindow*) param;
if (window->mode == 3) {
x = bound(x, window->R, window->_src.cols-1-window->R);
y = bound(y, window->R, window->_src.rows-1-window->R);
}
else {
x = bound(x, 0, window->_src.cols-1);
y = bound(y, 0, window->_src.rows-1);
}
// user press left button
if (event == CV_EVENT_LBUTTONDOWN && !window->drag) {
if (window->mode == 1)
window->point = Point(x, y);
else if (window->mode == 2) {
window->points.clear();
window->points.push_back(Point(x, y));
}
else if (window->mode == 3) {
Rect box = Rect(x-window->R, y-window->R, 1+window->R*2, 1+window->R*2);
Mat temp;
medianBlur(window->_dst(box), temp, window->kernel);
temp.copyTo(window->_dst(box), window->round_mask);
window->round_mask.copyTo(window->zone(box), window->round_mask);
imshow("Image", window->_dst);
}
window->drag = true;
}
// user drag the mouse
if (event == CV_EVENT_MOUSEMOVE && window->drag) {
Mat temp = window->_dst.clone();
if (window->mode == 1)
rectangle(temp, window->point, Point(x, y), CV_RGB(255, 0, 0), 2, 8, 0);
else if (window->mode == 2) {
window->pts = (const Point*)Mat(window->points).data;
window->npts = window->points.size();
window->points.push_back(Point(x, y));
polylines(temp, &window->pts, &window->npts, 1, false, Scalar(0,0,255), 2, 8, 0);
}
else if (window->mode == 3) {
Rect box = Rect(x-window->R, y-window->R, 1+window->R*2, 1+window->R*2);
Mat temp;
medianBlur(window->_dst(box), temp, window->kernel);
temp.copyTo(window->_dst(box), window->round_mask);
window->round_mask.copyTo(window->zone(box), window->round_mask);
imshow("Image", window->_dst);
return;
}
imshow("Image", temp);
}
// user release left button
if (event == CV_EVENT_LBUTTONUP && window->drag) {
if (window->mode == 1) {
Point temp(window->point);
window->point.x = min(x, temp.x);
x = max(x, temp.x);
window->point.y = min(y, temp.y);
y = max(y, temp.y);
rectangle(window->zone, window->point, Point(x, y), Scalar(255), CV_FILLED, 8, 0);
Rect box = Rect(window->point.x, window->point.y, x - window->point.x, y - window->point.y);
if (window->style == 1) {
medianBlur(window->_dst(box), window->_dst(box), window->kernel);
medianBlur(window->_dst(box), window->_dst(box), window->kernel);
}
else {
Mat mask = Mat::zeros(window->_src.size(), CV_8UC1);
rectangle(mask, window->point, Point(x, y), CV_RGB(255, 255, 255), CV_FILLED, 8, 0);
inpaint(window->_dst, mask, window->_dst, 5, INPAINT_TELEA);
}
}
else if (window->mode == 2) {
Rect box = boundingRect(window->points);
vector< vector<Point> > contour;
contour.push_back(window->points);
Mat mask = Mat::zeros(window->_src.size(), CV_8UC1);
fillPoly(mask, contour, Scalar(255));
fillPoly(window->zone, contour, Scalar(255));
if (window->style == 1) {
Mat temp;
medianBlur(window->_dst(box), temp, window->kernel);
medianBlur(temp, temp, window->kernel);
temp.copyTo(window->_dst(box), mask(box));
}
else
inpaint(window->_dst, mask, window->_dst, 5, INPAINT_TELEA);
}
imshow("Image", window->_dst);
window->drag = false;
}
// user click right button: reset all
if (event == CV_EVENT_RBUTTONUP) {
window->_dst = window->_src.clone();
window->zone = Mat::zeros(window->_src.size(), CV_8UC1);
window->drag = false;
imshow("Image", window->_dst);
}
}
