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fixed a bug in the non-max-suppression filter procedure
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bad927325f
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@ -631,9 +631,10 @@ void ERFilterNM::er_merge(ERStat *parent, ERStat *child)
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child->probability = classifier->eval(*child);
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}
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if ( ((classifier!=NULL)?(child->probability >= minProbability):true) &&
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if ( (((classifier!=NULL)?(child->probability >= minProbability):true)||(nonMaxSuppression)) &&
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((child->area >= (minArea*region_mask.rows*region_mask.cols)) &&
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(child->area <= (maxArea*region_mask.rows*region_mask.cols))) )
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(child->area <= (maxArea*region_mask.rows*region_mask.cols)) &&
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(child->rect.width > 2) && (child->rect.height > 2)) )
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{
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num_accepted_regions++;
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@ -699,38 +700,73 @@ ERStat* ERFilterNM::er_save( ERStat *er, ERStat *parent, ERStat *prev )
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regions->back().parent = parent;
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if (prev != NULL)
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{
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prev->next = &(regions->back());
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}
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else if (parent != NULL)
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parent->child = &(regions->back());
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ERStat *old_prev = NULL;
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ERStat *this_er = ®ions->back();
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if (this_er->parent == NULL)
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{
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this_er->probability = 0;
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}
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if (nonMaxSuppression)
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{
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if (this_er->parent == NULL)
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{
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this_er->probability = 0; //TODO this makes sense in order to select at least one region in short tree's but is it really necessary?
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this_er->max_probability_ancestor = this_er;
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this_er->min_probability_ancestor = this_er;
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//cout << "This is the root so now min_p is " << this_er->probability << " and max_p is " << this_er->probability << endl;
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}
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else
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{
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this_er->max_probability_ancestor = (this_er->probability > parent->max_probability_ancestor->probability)? this_er : parent->max_probability_ancestor;
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this_er->min_probability_ancestor = (this_er->probability < parent->min_probability_ancestor->probability)? this_er : parent->min_probability_ancestor;
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//cout << "This is NOT the root so now min_p is " << this_er->min_probability_ancestor->probability << " and max_p is " << this_er->max_probability_ancestor->probability << endl;
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/*
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if ( (this_er->max_probability_ancestor->probability > minProbability) && (this_er->max_probability_ancestor->probability - this_er->min_probability_ancestor->probability > minProbabilityDiff))
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{
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cout << " local máxima detcected on " << this_er->max_probability_ancestor->probability << endl;
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this_er->max_probability_ancestor->local_maxima = true;
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//TODO check here if the last local_maxima can be also suppressed, is the following correct?
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//if (this_er->min_probability_ancestor->local_maxima)
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// this_er->min_probability_ancestor->local_maxima = false;
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this_er->max_probability_ancestor = this_er;
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this_er->min_probability_ancestor = this_er;
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cout << " so now min_p is " << this_er->min_probability_ancestor->probability << " and max_p is " << this_er->max_probability_ancestor->probability << endl;
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}
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else if ((this_er->min_probability_ancestor->local_maxima) && (this_er->probability > (this_er->min_probability_ancestor->probability))) {
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cout << " NO local máxima detcected on " << this_er->max_probability_ancestor->probability << endl;
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cout << " and min_p was local maxima and this_er->p > min_p" << endl;
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cout << " so mark as local maxima "<< this_er->max_probability_ancestor << endl;
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cout << " and unmark "<< this_er->min_probability_ancestor << endl;
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this_er->max_probability_ancestor->local_maxima = true;
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this_er->min_probability_ancestor->local_maxima = false;
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}*/
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if ( (this_er->max_probability_ancestor->probability > minProbability) && (this_er->max_probability_ancestor->probability - this_er->min_probability_ancestor->probability > minProbabilityDiff))
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{
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//cout << " local máxima detcected on " << this_er->max_probability_ancestor->probability << endl;
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this_er->max_probability_ancestor->local_maxima = true;
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if ((this_er->max_probability_ancestor == this_er) && (this_er->parent->local_maxima))
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{
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//cout << " local máxima undetcected on " << this_er->parent->probability << endl;
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this_er->parent->local_maxima = false;
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}
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}
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else if (this_er->probability < this_er->parent->probability)
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{
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this_er->min_probability_ancestor = this_er;
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}
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else if (this_er->probability > this_er->parent->probability)
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{
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this_er->max_probability_ancestor = this_er;
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}
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}
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}
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@ -769,7 +805,7 @@ ERStat* ERFilterNM::er_tree_filter ( InputArray image, ERStat * stat, ERStat *pa
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findContours( region, contours, hierarchy, RETR_TREE, CHAIN_APPROX_NONE, Point(0, 0) );
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//TODO check epsilon parameter of approxPolyDP (set empirically) : we want more precission
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// if the region is very small because otherwise we'll loose all the convexities
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approxPolyDP( Mat(contours[0]), contour_poly, max(rect.width,rect.height)/25, true );
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approxPolyDP( Mat(contours[0]), contour_poly, min(rect.width,rect.height)/17, true );
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bool was_convex = false;
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@ -1084,8 +1120,13 @@ Ptr<ERFilter> createERFilterNM1(const Ptr<ERFilter::Callback>& cb, int threshold
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CV_Assert( (thresholdDelta >= 0) && (thresholdDelta <= 128) );
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CV_Assert( (minProbabilityDiff >= 0.) && (minProbabilityDiff <= 1.) );
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<<<<<<< HEAD
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Ptr<ERFilterNM> filter = makePtr<ERFilterNM>();
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=======
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Ptr<ERFilterNM> filter = new ERFilterNM();
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>>>>>>> fixed a bug in the non-max-suppression filter procedure
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if (cb == NULL)
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filter->setCallback(makePtr<ERClassifierNM1>());
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else
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@ -1131,3 +1172,4 @@ Ptr<ERFilter> createERFilterNM2(const Ptr<ERFilter::Callback>& cb, float minProb
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}
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}
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