hopefully fixed compile warnings and the doc builder warnings

diff --git a/modules/objdetect/src/cascadedetect.cpp b/modules/objdetect/src/cascadedetect.cpp
index 15a1ca2..ef9d21e 100644 (file)
--- a/modules/objdetect/src/cascadedetect.cpp
+++ b/modules/objdetect/src/cascadedetect.cpp
@@ -464,7 +464,7 @@ bool FeatureEvaluator::setImage( InputArray _image, const std::vector<float>& _s
 {
     Size imgsz = _image.size();
     bool recalcOptFeatures = updateScaleData(imgsz, _scales);
-    
+
     size_t i, nscales = scaleData->size();
     Size sz0 = scaleData->at(0).szi;
     sz0 = Size(std::max(rbuf.cols, (int)alignSize(sz0.width, 16)), std::max(rbuf.rows, sz0.height));
@@ -802,7 +802,7 @@ void LBPEvaluator::computeOptFeatures()
     optfeatures->resize(nfeatures);
     optfeaturesPtr = &(*optfeatures)[0];
     for( fi = 0; fi < nfeatures; fi++ )
-        optfeaturesPtr[fi].setOffsets( ff[fi], sstep );    
+        optfeaturesPtr[fi].setOffsets( ff[fi], sstep );
     copyVectorToUMat(*optfeatures, ufbuf);
 }
 
@@ -1098,7 +1098,7 @@ bool CascadeClassifierImpl::ocl_detectMultiScaleNoGrouping( const std::vector<fl
     {
         if (data.maxNodesPerTree > 1)
             return false;
-        
+
         Ptr<LBPEvaluator> lbp = featureEvaluator.dynamicCast<LBPEvaluator>();
         if( lbp.empty() )
             return false;
@@ -1200,9 +1200,8 @@ void CascadeClassifierImpl::detectMultiScaleNoGrouping( InputArray _image, std::
                                                     bool outputRejectLevels )
 {
     Size imgsz = _image.size();
-    
+
     Mat grayImage;
-    UMat ugrayImage;
     _InputArray gray;
 
     candidates.clear();

diff --git a/modules/objdetect/src/cascadedetect.hpp b/modules/objdetect/src/cascadedetect.hpp
index b568c90..166d05b 100644 (file)
--- a/modules/objdetect/src/cascadedetect.hpp
+++ b/modules/objdetect/src/cascadedetect.hpp
@@ -28,7 +28,7 @@ public:
     };
 
     virtual ~FeatureEvaluator();
-    
+
     virtual bool read(const FileNode& node, Size origWinSize);
     virtual Ptr<FeatureEvaluator> clone() const;
     virtual int getFeatureType() const;
@@ -211,7 +211,7 @@ protected:
     Ptr<CvHaarClassifierCascade> oldCascade;
 
     Ptr<MaskGenerator> maskGenerator;
-    UMat ugrayImage, uimageBuffer;
+    UMat ugrayImage;
     UMat ufacepos, ustages, unodes, uleaves, usubsets;
     ocl::Kernel haarKernel, lbpKernel;
     bool tryOpenCL;

diff --git a/modules/objdetect/src/opencl/cascadedetect.cl b/modules/objdetect/src/opencl/cascadedetect.cl
index 88b3624..09842ba 100644 (file)
--- a/modules/objdetect/src/opencl/cascadedetect.cl
+++ b/modules/objdetect/src/opencl/cascadedetect.cl
@@ -546,7 +546,7 @@ void runLBPClassifierStump(
                         mask |= (CALC_SUM_OFS_( ofs.s9, ofs.sa, ofs.sd, ofs.se, p ) >= cval ? 4 : 0);  // 7
                         mask |= (CALC_SUM_OFS_( ofs.s8, ofs.s9, ofs.sc, ofs.sd, p ) >= cval ? 2 : 0);  // 6
                         mask |= (CALC_SUM_OFS_( ofs.s4, ofs.s5, ofs.s8, ofs.s9, p ) >= cval ? 1 : 0);  // 7
-                        
+
                         s += (bitset[idx] & (1 << mask)) ? st.z : st.w;
                     }