/*!
Display a rectangle.
\param rectangle : Rectangle characteristics.
\param color : Rectangle color.
\param fill : When set to true fill the rectangle.
\param thickness : Thickness of the four lines used to display the
rectangle. This parameter is only useful when \e fill is set to
false.
*/
void
vpDisplayOpenCV::displayRectangle(const vpRect &rectangle,
const vpColor &color, bool fill,
unsigned int thickness)
{
if (displayHasBeenInitialized)
{
if (fill == false) {
if (color.id < vpColor::id_unknown) {
cvRectangle( background,
cvPoint( vpMath::round( rectangle.getLeft() ),
vpMath::round( rectangle.getBottom() ) ),
cvPoint( vpMath::round( rectangle.getRight() ),
vpMath::round( rectangle.getTop() ) ),
col[color.id], (int)thickness);
}
else {
cvcolor = CV_RGB(color.R, color.G, color.B) ;
cvRectangle( background,
cvPoint( vpMath::round( rectangle.getLeft() ),
vpMath::round( rectangle.getBottom() ) ),
cvPoint( vpMath::round( rectangle.getRight() ),
vpMath::round( rectangle.getTop() ) ),
cvcolor, (int)thickness);
}
}
else {
if (color.id < vpColor::id_unknown) {
cvRectangle( background,
cvPoint( vpMath::round( rectangle.getLeft() ),
vpMath::round( rectangle.getBottom() ) ),
cvPoint( vpMath::round( rectangle.getRight() ),
vpMath::round( rectangle.getTop() ) ),
col[color.id], CV_FILLED);
}
else {
cvcolor = CV_RGB(color.R, color.G, color.B) ;
cvRectangle( background,
cvPoint( vpMath::round( rectangle.getLeft() ),
vpMath::round( rectangle.getBottom() ) ),
cvPoint( vpMath::round( rectangle.getRight() ),
vpMath::round( rectangle.getTop() ) ),
cvcolor, CV_FILLED);
}
}
}
else
{
vpERROR_TRACE("OpenCV not initialized " ) ;
throw(vpDisplayException(vpDisplayException::notInitializedError,
"OpenCV not initialized")) ;
}
}
/*!
Check if an image point belongs to a rectangle.
\param rect : the rectangle.
\return Returns true if the point belongs to the rectangle.
*/
bool vpImagePoint::inRectangle( const vpRect &rect ) const
{
return ( this->i <= rect.getBottom() &&
this->i >= rect.getTop() &&
this->j <= rect.getRight() &&
this->j >= rect.getLeft());
}
/*!
Return the percentage of overlapping for two rectangles.
\param r1: First rectangle.
\param r2: Second rectangle.
\return The percentage of overlapping or -1.0 if they don't overlap.
*/
double vpCascadeClassifier::getPercentageOfOverlap(const vpRect &r1, const vpRect &r2) {
double left = (std::max)(r1.getLeft(), r2.getLeft());
double right = (std::min)(r1.getRight(), r2.getRight());
double bottom = (std::min)(r1.getBottom(), r2.getBottom());
double top = (std::max)(r1.getTop(), r2.getTop());
if(left < right && bottom > top) {
double overlap_area = (right-left)*(bottom-top);
double r1_area = r1.getWidth()*r1.getHeight();
double r2_area = r2.getWidth()*r2.getHeight();
double percentage = overlap_area / (r1_area + r2_area - overlap_area) * 100.0;
return percentage;
}
return -1;
}
/*!
Return the average intensity in the region.
\param I: Grayscale image.
\param rect: Bounding box corresponding to the desired region.
\return The average intensity in the region or -1.0 if the region is outside of the image.
*/
double vpCascadeClassifier::getMeanIntensity(const vpImage<unsigned char> &I, const vpRect &rect) {
bool is_inside = (rect.getLeft() >= 0 && rect.getTop() >= 0
&& rect.getRight() < I.getWidth() && rect.getBottom() < I.getHeight());
unsigned int total = 0;
if(is_inside) {
for(unsigned int i = (unsigned int) rect.getTop(); i < (unsigned int) rect.getBottom(); i++) {
for(unsigned int j = (unsigned int) rect.getLeft(); j < (unsigned int) rect.getRight(); j++) {
total += I[i][j];
}
}
return total / ((double) rect.getWidth()*rect.getHeight());
}
return -1.0;
}
/*!
Return the median intensitie in the region.
\param I: Grayscale image.
\param rect: Bounding box corresponding to the desired region.
\return The median intensitie in the region or -1.0 if the region is outside of the image.
*/
double vpCascadeClassifier::getMedianIntensity(const vpImage<unsigned char> &I, const vpRect &rect) {
bool is_inside = (rect.getLeft() >= 0 && rect.getTop() >= 0
&& rect.getRight() < I.getWidth() && rect.getBottom() < I.getHeight());
if(is_inside) {
std::vector<double> v((size_t) (rect.getWidth() * rect.getHeight()));
for(unsigned int i = (unsigned int) rect.getTop(); i < (unsigned int) rect.getBottom(); i++) {
for(unsigned int j = (unsigned int) rect.getLeft(); j < (unsigned int) rect.getRight(); j++) {
size_t index = (size_t) ( (i-rect.getTop())*rect.getWidth() + (j-rect.getLeft()) );
v[index] = I[i][j];
}
}
return getMedian(v);
}
return -1.0;
}