void
vpPlotCurve::plotPoint(const vpImage<unsigned char> &I, const vpImagePoint &iP, const double x, const double y)
{
nbPoint++;
if (nbPoint > 1)
{
vpDisplay::displayLine(I,lastPoint, iP, color, thickness);
}
#if defined (VISP_HAVE_DISPLAY)
double top;
double left;
double width;
double height;
if (iP.get_i() <= lastPoint.get_i()) {top = iP.get_i()-5; height = lastPoint.get_i() - top+10;}
else {top = lastPoint.get_i()-5; height = iP.get_i() - top+10;}
if (iP.get_j() <= lastPoint.get_j()) {left = iP.get_j()-5; width = lastPoint.get_j() - left+10;}
else {left = lastPoint.get_j()-5; width = iP.get_j() - left+10;}
vpDisplay::flushROI(I,vpRect(left,top,width,height));
#endif
lastPoint = iP;
pointListx.push_back(x);
pointListy.push_back(y);
pointListz.push_back(0.0);
}
void
vpPlotCurve::plotPoint(vpImage<unsigned char> &I, vpImagePoint iP, const double x, const double y)
{
pointListx.end();
pointListy.end();
pointListz.end();
nbPoint++;
if (nbPoint > 1)
{
vpDisplay::displayLine(I,lastPoint, iP, color);
}
#if( defined VISP_HAVE_X11 || defined VISP_HAVE_GDI )
double top;
double left;
double width;
double height;
if (iP.get_i() <= lastPoint.get_i()) {top = iP.get_i()-5; height = lastPoint.get_i() - top+10;}
else {top = lastPoint.get_i()-5; height = iP.get_i() - top+10;}
if (iP.get_j() <= lastPoint.get_j()) {left = iP.get_j()-5; width = lastPoint.get_j() - left+10;}
else {left = lastPoint.get_j()-5; width = iP.get_j() - left+10;}
vpDisplay::flushROI(I,vpRect(left,top,width,height));
#endif
lastPoint = iP;
pointListx.addRight(x);
pointListy.addRight(y);
pointListz.addRight(0.0);
}
QRect LvlScene::getViewportRect()
{
QRect vpRect(0,0,0,0);
if(_viewPort)
{
vpRect.setLeft(this->_viewPort->horizontalScrollBar()->value());
vpRect.setTop(this->_viewPort->verticalScrollBar()->value());
vpRect.setWidth(_viewPort->viewport()->width());
vpRect.setHeight(_viewPort->viewport()->height());
}
return vpRect;
}
/*!
Compute the detection and the brightness filtering (if set).
\param I: Image.
\param scaleFactor: Parameter specifying how much the image size is reduced at each image scale.
\param minNeighbors: Parameter specifying how many neighbors each candidate rectangle should have to retain it.
\param minSize: Minimum possible object size. Objects smaller than that are ignored.
\param maxSize: Maximum possible object size. Objects larger than that are ignored.
*/
void vpCascadeClassifier::computeDetection(const vpImage<unsigned char> &I, const double scaleFactor, const int minNeighbors,
const cv::Size &minSize, const cv::Size &maxSize) {
m_objectBoundingBoxes.clear();
m_vectorOfDetectedObjects.clear();
cv::Mat matImg;
vpImageConvert::convert(I, matImg);
std::vector<cv::Rect> objects;
m_classifierDetector.detectMultiScale(matImg, objects, scaleFactor, minNeighbors, 0, minSize, maxSize);
for(std::vector<cv::Rect>::const_iterator it = objects.begin(); it != objects.end(); ++it) {
m_objectBoundingBoxes.push_back(vpRect(it->x, it->y, it->width, it->height));
}
//Predefined brightness filtering
if(m_brightnessFilterType != NO_BRIGHTNESS_FILTER) {
filterTooDarkObjects(I, m_objectBoundingBoxes);
filterTooBrightObjects(I, m_objectBoundingBoxes);
}
}
