fixed bug reported by Irina K. Also tried to fix LBP detector regression in quality (probably it did not help but still ...)

modules/objdetect/src/cascadedetect.cpp

@@ -88,6 +88,9 @@ void groupRectangles(std::vector<Rect>& rectList, int groupThreshold, double eps
         rrects[cls].height += rectList[i].height;
         rweights[cls]++;
     }
+
+	bool useDefaultWeights = false;
+
     if ( levelWeights && weights && !weights->empty() && !levelWeights->empty() )
     {
         for( i = 0; i < nlabels; i++ )
@@ -102,6 +105,8 @@ void groupRectangles(std::vector<Rect>& rectList, int groupThreshold, double eps
                 rejectWeights[cls] = (*levelWeights)[i];
         }
     }
+	else
+		useDefaultWeights = true;
 
     for( i = 0; i < nclasses; i++ )
     {
@@ -154,7 +159,7 @@ void groupRectangles(std::vector<Rect>& rectList, int groupThreshold, double eps
         {
             rectList.push_back(r1);
             if( weights )
-                weights->push_back(l1);
+                weights->push_back(useDefaultWeights ? n1 : l1);
             if( levelWeights )
                 levelWeights->push_back(w1);
         }
@@ -575,17 +580,20 @@ bool HaarEvaluator::read(const FileNode& node, Size _origWinSize)
     nchannels = hasTiltedFeatures ? 3 : 2;
     normrect = Rect(1, 1, origWinSize.width - 2, origWinSize.height - 2);
 
+    localSize = lbufSize = Size(0, 0);
     if (ocl::haveOpenCL())
     {
         String vname = ocl::Device::getDefault().vendor();
         if (vname == "Advanced Micro Devices, Inc." ||
             vname == "AMD")
+        {
             localSize = Size(8, 8);
             lbufSize = Size(origWinSize.width + localSize.width,
                             origWinSize.height + localSize.height);
             if (lbufSize.area() > 1024)
                 lbufSize = Size(0, 0);
         }
+    }
 
     return true;
 }
@@ -757,6 +765,7 @@ bool LBPEvaluator::read( const FileNode& node, Size _origWinSize )
             return false;
     }
     nchannels = 1;
+    localSize = lbufSize = Size(0, 0);
     if (ocl::haveOpenCL())
     {
         const ocl::Device& device = ocl::Device::getDefault();

modules/objdetect/src/cascadedetect.hpp

@@ -608,7 +608,7 @@ inline int predictCategoricalStump( CascadeClassifierImpl& cascade,
     const CascadeClassifierImpl::Data::Stump* cascadeStumps = &cascade.data.stumps[0];
     const CascadeClassifierImpl::Data::Stage* cascadeStages = &cascade.data.stages[0];
 
-    float tmp = 0;
+    double tmp = 0;
     for( int si = 0; si < nstages; si++ )
     {
         const CascadeClassifierImpl::Data::Stage& stage = cascadeStages[si];
@@ -625,7 +625,7 @@ inline int predictCategoricalStump( CascadeClassifierImpl& cascade,
 
         if( tmp < stage.threshold )
         {
-            sum = (double)tmp;
+            sum = tmp;
             return -si;
         }