Remove unused vars

modules/contrib/src/chamfermatching.cpp

@@ -622,7 +622,6 @@ void ChamferMatcher::Matching::followContour(Mat& templ_img, template_coords_t&
 {
     const int dir[][2] = { {-1,-1}, {-1,0}, {-1,1}, {0,1}, {1,1}, {1,0}, {1,-1}, {0,-1} };
     coordinate_t next;
-    coordinate_t next_temp;
     unsigned char ptr;
 
     assert (direction==-1 || !coords.empty());

modules/gpu/src/cascadeclassifier.cpp

@@ -771,8 +771,6 @@ NCVStatus loadFromXML(const std::string &filename,
     haar.bNeedsTiltedII = false;
     Ncv32u curMaxTreeDepth;
 
-    std::vector<char> xmlFileCont;
-
     std::vector<HaarClassifierNode128> h_TmpClassifierNotRootNodes;
     haarStages.resize(0);
     haarClassifierNodes.resize(0);

modules/imgproc/src/pyramids.cpp

@@ -327,11 +327,10 @@ pyrUp_( const Mat& _src, Mat& _dst, int)
 
     CV_Assert( std::abs(dsize.width - ssize.width*2) == dsize.width % 2 &&
                std::abs(dsize.height - ssize.height*2) == dsize.height % 2);
-    int k, x, sy0 = -PU_SZ/2, sy = sy0, width0 = ssize.width - 1;
+    int k, x, sy0 = -PU_SZ/2, sy = sy0;
 
     ssize.width *= cn;
     dsize.width *= cn;
-    width0 *= cn;
 
     for( x = 0; x < ssize.width; x++ )
         dtab[x] = (x/cn)*2*cn + x % cn;

modules/objdetect/src/matching.cpp

@@ -1396,7 +1396,7 @@ static int createSchedule(const CvLSVMFeaturePyramid *H, const CvLSVMFilterObjec
                    const int n, const int bx, const int by,
                    const int threadsNum, int *kLevels, int **processingLevels)
 {
-    int rootFilterDim, sumPartFiltersDim, i, numLevels, dbx, dby, numDotProducts;
+    int rootFilterDim, sumPartFiltersDim, i, numLevels, dbx, dby;
     int j, minValue, argMin, lambda, maxValue, k;
     int *dotProd, *weights, *disp;
     if (H == NULL || all_F == NULL)
@@ -1420,8 +1420,6 @@ static int createSchedule(const CvLSVMFeaturePyramid *H, const CvLSVMFilterObjec
     // of feature map with part filter
     dbx = 2 * bx;
     dby = 2 * by;
-    // Total number of dot products for all levels
-    numDotProducts = 0;
     lambda = LAMBDA;
     for (i = 0; i < numLevels; i++)
     {
@@ -1429,7 +1427,6 @@ static int createSchedule(const CvLSVMFeaturePyramid *H, const CvLSVMFilterObjec
                      H->pyramid[i + lambda]->sizeY * rootFilterDim +
                      (H->pyramid[i]->sizeX + dbx) *
                      (H->pyramid[i]->sizeY + dby) * sumPartFiltersDim;
-        numDotProducts += dotProd[i];
     }
     // Allocation memory for saving dot product number performed by each thread
     weights = (int *)malloc(sizeof(int) * threadsNum);

modules/ocl/src/arithm.cpp

@@ -2205,7 +2205,6 @@ void cv::ocl::transpose(const oclMat &src, oclMat &dst)
     CV_Assert(src.type() == CV_8UC1  || src.type() == CV_8UC3 || src.type() == CV_8UC4  || src.type() == CV_8SC3  || src.type() == CV_8SC4  ||
               src.type() == CV_16UC2 || src.type() == CV_16SC2 || src.type() == CV_32SC1 || src.type() == CV_32FC1);
 
-    stringstream idxstr;
     oclMat emptyMat;
 
     if( src.data == dst.data && dst.cols == dst.rows )