Merge pull request #3434 from asmorkalov:as/xcode_warning_supression

-Wunused-but-set-variable warnings fix after XCode update with clang 13.1

Author: asmorkalov

modules/barcode/src/decoder/ean8_decoder.cpp

@@ -27,7 +27,6 @@ Result Ean8Decoder::decode(const vector<uchar> &data) const
     uint start = pattern.second;
     Counter counter(vector<int>{0, 0, 0, 0});
     size_t end = data.size();
-    int first_char_bit = 0;
     for (int i = 0; i < 4 && start < end; ++i)
     {
         int bestMatch = decodeDigit(data, counter, start, get_A_or_C_Patterns());
@@ -37,7 +36,6 @@ Result Ean8Decoder::decode(const vector<uchar> &data) const
         }
         decode_result[i] = static_cast<char>('0' + bestMatch % 10);
         start = counter.sum + start;
-        first_char_bit += (bestMatch >= 10) << i;
     }
 
     Counter middle_counter(vector<int>(MIDDLE_PATTERN().size()));

modules/ccalib/src/ccalib.cpp

@@ -246,23 +246,14 @@ void CustomPattern::check_matches(vector<Point2f>& matched, const vector<Point2f
     vector<Point2f> proj;
     perspectiveTransform(pattern, proj, H);
 
-    int deleted = 0;
-    double error_sum = 0;
-    double error_sum_filtered = 0;
     for (uint i = 0; i < proj.size(); ++i)
     {
         double error = norm(matched[i] - proj[i]);
-        error_sum += error;
         if (error >= MAX_PROJ_ERROR_PX)
         {
             deleteStdVecElem(good, i);
             deleteStdVecElem(matched, i);
             deleteStdVecElem(pattern_3d, i);
-            ++deleted;
-        }
-        else
-        {
-            error_sum_filtered += error;
         }
     }
 }

modules/intensity_transform/src/bimef.cpp

@@ -345,7 +345,6 @@ static double minimize_scalar_bounded(const Mat_<float>& I, double begin, double
     double rat = 0.0, e = 0.0;
     double x = xf;
     double fx = -entropy(applyK(I, static_cast<float>(x)));
-    int num = 1;
     double fu = std::numeric_limits<double>::infinity();
 
     double ffulc = fx, fnfc = fx;
@@ -398,7 +397,6 @@ static double minimize_scalar_bounded(const Mat_<float>& I, double begin, double
         double si = sgn(rat) + (rat == 0);
         x = xf + si * std::max(std::abs(rat), tol1);
         fu = -entropy(applyK(I, static_cast<float>(x)));
-        num += 1;
 
         if (fu <= fx) {
             if (x >= xf) {

modules/line_descriptor/src/binary_descriptor_matcher.cpp

@@ -642,11 +642,6 @@ void BinaryDescriptorMatcher::Mihasher::query( UINT32* results, UINT32* numres,
   /* number of candidates tested with full codes (not counting duplicates) */
   UINT32 nc = 0;
 
-  /* counting everything retrieved (duplicates are counted multiple times)
-   number of lookups (and xors) */
-  UINT32 nl = 0;
-
-  UINT32 nd = 0;
   UINT32 *arr;
   int size = 0;
   UINT32 index;
@@ -672,8 +667,6 @@ void BinaryDescriptorMatcher::Mihasher::query( UINT32* results, UINT32* numres,
       else
         curb = b - 1;
       UINT64 chunksk = chunks[k];
-      /* number of bit-strings with s number of 1s */
-      nl += xornum[s + 1] - xornum[s];
 
       /* the bit-string with s number of 1s */
       UINT64 bitstr = 0;
@@ -706,7 +699,6 @@ void BinaryDescriptorMatcher::Mihasher::query( UINT32* results, UINT32* numres,
           arr = H[k].query( chunksk ^ bitstr, &size );  // lookup
           if( size )
           { /* the corresponding bucket is not empty */
-            nd += size;
             for ( int c = 0; c < size; c++ )
             {
               index = arr[c];

modules/rgbd/src/nonrigid_icp.cpp

@@ -365,7 +365,6 @@ bool ICPImpl::estimateWarpNodes(WarpField& currentWarp, const Affine3f &pose,
     std::cout << "median: " << med << " from " << residuals.size() << " residuals " << std::endl;
     float sigma = MAD_SCALE * median(residuals);
 
-    float total_error = 0;
     int pix_count = 0;
 
     for(int y = 0; y < oldPoints.size().height; y++)
@@ -395,7 +394,6 @@ bool ICPImpl::estimateWarpNodes(WarpField& currentWarp, const Affine3f &pose,
 
             float rd = Nc.at<Vec3f>(y, x).dot(diff);
 
-            total_error += tukeyWeight(rd, sigma) * rd * rd;
             pix_count++;
 
             int n;

modules/stereo/src/stereo_binary_bm.cpp

@@ -341,15 +341,6 @@ namespace cv
                 }
 
                 Mat left = preFilteredImg0, right = preFilteredImg1;
-
-                int ndisp = params.numDisparities;
-
-                int wsz = params.kernelSize;
-                int bufSize0 = (int)((ndisp + 2)*sizeof(int));
-                bufSize0 += (int)((height + wsz + 2)*ndisp*sizeof(int));
-                bufSize0 += (int)((height + wsz + 2)*sizeof(int));
-                bufSize0 += (int)((height + wsz + 2)*ndisp*(wsz + 2)*sizeof(uchar) + 256);
-
                 int bufSize1 = (int)((width + params.preFilterSize + 2) * sizeof(int) + 256);
                 if(params.usePrefilter == true)
                 {

modules/structured_light/src/graycodepattern.cpp

@@ -259,9 +259,6 @@ bool GrayCodePattern_Impl::decode( const std::vector< std::vector<Mat> >& patter
     Mat& disparityMap_ = *( Mat* ) disparityMap.getObj();
     disparityMap_ = Mat( cam_height, cam_width, CV_64F, double( 0 ) );
 
-    double number_of_pixels_cam1 = 0;
-    double number_of_pixels_cam2 = 0;
-
     for( int i = 0; i < params.width; i++ )
     {
       for( int j = 0; j < params.height; j++ )
@@ -278,8 +275,6 @@ bool GrayCodePattern_Impl::decode( const std::vector< std::vector<Mat> >& patter
         double sump1x = 0;
         double sump2x = 0;
 
-        number_of_pixels_cam1 += cam1Pixs.size();
-        number_of_pixels_cam2 += cam2Pixs.size();
         for( int c1 = 0; c1 < (int) cam1Pixs.size(); c1++ )
         {
           p1 = cam1Pixs[c1];

modules/tracking/src/multiTracker.cpp

@@ -279,7 +279,6 @@ namespace impl {
 		Mat tmp;
 		int dx = initSize.width / 10, dy = initSize.height / 10;
 		Size2d size = img.size();
-		double scale = 1.0;
 		int npos = 0, nneg = 0;
 		double maxSc = -5.0;
 		Rect2d maxScRect;
@@ -348,7 +347,6 @@ namespace impl {
 			scaleID++;
 			size.width /= tld::SCALE_STEP;
 			size.height /= tld::SCALE_STEP;
-			scale *= tld::SCALE_STEP;
 			resize(img, tmp, size, 0, 0, tld::DOWNSCALE_MODE);
 			resized_imgs.push_back(tmp);
 			GaussianBlur(resized_imgs[scaleID], tmp, tld::GaussBlurKernelSize, 0.0f);

modules/tracking/src/tldDetector.cpp

@@ -363,7 +363,6 @@ namespace tld {
 			Mat tmp;
 			int dx = initSize.width / 10, dy = initSize.height / 10;
 			Size2d size = img.size();
-			double scale = 1.0;
 			int npos = 0, nneg = 0;
 			double maxSc = -5.0;
 			Rect2d maxScRect;
@@ -398,7 +397,6 @@ namespace tld {
 				scaleID++;
 				size.width /= SCALE_STEP;
 				size.height /= SCALE_STEP;
-				scale *= SCALE_STEP;
 				resize(img, tmp, size, 0, 0, DOWNSCALE_MODE);
 				resized_imgs.push_back(tmp);
 				GaussianBlur(resized_imgs[scaleID], tmp, GaussBlurKernelSize, 0.0f);

modules/wechat_qrcode/src/zxing/qrcode/detector/detector.cpp

@@ -684,15 +684,14 @@ int Detector::fitLine(vector<Ref<ResultPoint> > &oldPoints, float &k, float &b,
     int num = fitPoints.size();
     if (num < 2) return -1;
 
-    double x = 0, y = 0, xx = 0, xy = 0, yy = 0, tem = 0;
+    double x = 0, y = 0, xx = 0, xy = 0, tem = 0;
     for (int i = 0; i < num; i++) {
         int point_x = fitPoints[i]->getX();
         int point_y = fitPoints[i]->getY();
         x += point_x;
         y += point_y;
         xx += point_x * point_x;
         xy += point_x * point_y;
-        yy += point_y * point_y;
     }
 
     tem = xx * num - x * x;