Fix clang 14 warnings

modules/datasets/src/fr_adience.cpp

@@ -172,7 +172,6 @@ void FR_adienceImp::cv5ToSplits(vector< Ptr<FR_adienceObj> > fileList[5])
 void FR_adienceImp::loadDataset(const string &path)
 {
     // collect real image names
-    unsigned int num = 0;
     vector<string> userNames;
     getDirList(path+"faces/", userNames);
     for (vector<string>::iterator itU=userNames.begin(); itU!=userNames.end(); ++itU)
@@ -185,11 +184,9 @@ void FR_adienceImp::loadDataset(const string &path)
             if (name.length()>3 && name.substr(name.length()-4) == ".jpg")
             {
                 realNames[*itU].push_back(name);
-                num++;
             }
         }
     }
-    //printf("total images number: %u\n", num);
 
     vector< Ptr<FR_adienceObj> > fileList[5];
     for (unsigned int i=0; i<5; ++i)

modules/datasets/src/track_alov.cpp

@@ -247,7 +247,6 @@ void TRACK_alovImpl::loadDataset(const string &rootPath)
 void TRACK_alovImpl::loadDatasetAnnotatedOnly(const string &rootPath)
 {
     vector <int> datasetsLengths;
-    int currDatasetID = 0;
 
     printf("ALOV300++ Annotated Dataset Initialization...\n");
 
@@ -258,7 +257,6 @@ void TRACK_alovImpl::loadDatasetAnnotatedOnly(const string &rootPath)
         for (int k = 0; k < sectionSizes[i]; k++)
         {
             vector <Ptr<TRACK_alovObj> > objects;
-            currDatasetID++;
 
             //Open dataset's ground truth (annotation) file
             string annoPath = fullAnnoPath(rootPath, i, k);

modules/line_descriptor/src/binary_descriptor_matcher.cpp

@@ -639,9 +639,6 @@ void BinaryDescriptorMatcher::Mihasher::query( UINT32* results, UINT32* numres,
   /* number of results so far obtained (up to a distance of s per chunk) */
   UINT32 n = 0;
 
-  /* number of candidates tested with full codes (not counting duplicates) */
-  UINT32 nc = 0;
-
   UINT32 *arr;
   int size = 0;
   UINT32 index;
@@ -707,7 +704,6 @@ void BinaryDescriptorMatcher::Mihasher::query( UINT32* results, UINT32* numres,
                 counter->set( index );
                 hammd = cv::line_descriptor::match( codes.ptr() + (UINT64) index * ( B_over_8 ), Query, B_over_8 );
 
-                nc++;
                 if( hammd <= D && numres[hammd] < maxres )
                   res[hammd * K + numres[hammd]] = index + 1;
 

modules/optflow/src/motempl.cpp

@@ -157,8 +157,6 @@ void calcMotionGradient( InputArray _mhi, OutputArray _mask,
                              double delta1, double delta2,
                              int aperture_size )
 {
-    static int runcase = 0; runcase++;
-
     Mat mhi = _mhi.getMat();
     Size size = mhi.size();
 

modules/optflow/src/rlof/berlof_invoker.hpp

@@ -189,9 +189,6 @@ class TrackerInvoker : public cv::ParallelLoopBody
             int buffIdx = 0;
             cv::Mat GMc0, GMc1, GMc2, GMc3;
             cv::Vec2f Mc0, Mc1, Mc2, Mc3;
-            int noIteration = 0;
-            int noReusedIteration = 0;
-            int noSolvedIteration = 0;
             for( j = 0; j < criteria.maxCount; j++ )
             {
                 cv::Point2f delta(0,0);
@@ -536,7 +533,6 @@ class TrackerInvoker : public cv::ParallelLoopBody
                             {
                                 nextPts[ptidx] = backUpNextPt;
                             }
-                            noIteration++;
                             break;
                         }
 
@@ -612,13 +608,10 @@ class TrackerInvoker : public cv::ParallelLoopBody
                             delta.y = inextPt.y + b - nextPt.y;
                         } // isIn1 != isIn2
                     }
-                    if( hasSolved == false)
-                        noIteration++;
                 }
                 else
                 {
                     hasSolved = false;
-                    noReusedIteration++;
                 }
                 if( hasSolved == false )
                 {
@@ -635,7 +628,6 @@ class TrackerInvoker : public cv::ParallelLoopBody
                 {
                     nextPt += delta;
                     nextPts[ptidx] = nextPt - halfWin;
-                    noSolvedIteration++;
                     break;
                 }
 
@@ -832,9 +824,6 @@ class TrackerInvoker : public cv::ParallelLoopBody
             int buffIdx = 0;
             cv::Mat GMc0, GMc1, GMc2, GMc3;
             cv::Vec4f Mc0, Mc1, Mc2, Mc3;
-            int noIteration = 0;
-            int noReusedIteration = 0;
-            int noSolvedIteration = 0;
             for( j = 0; j < criteria.maxCount; j++ )
             {
                 cv::Point2f delta(0,0);
@@ -859,7 +848,6 @@ class TrackerInvoker : public cv::ParallelLoopBody
                             nextPts[ptidx] = backUpNextPt;
                             gainVecs[ptidx] = backUpGain;
                         }
-                        noIteration++;
                         break;
                     }
 
@@ -1287,7 +1275,6 @@ class TrackerInvoker : public cv::ParallelLoopBody
                             nextPts[ptidx] = backUpNextPt;
                             gainVecs[ptidx] = backUpGain;
                         }
-                        noIteration++;
                         break;
                     }
 
@@ -1399,13 +1386,10 @@ class TrackerInvoker : public cv::ParallelLoopBody
 
                     } // isIn1 != isIn2
                 }
-                    if( hasSolved == false)
-                        noIteration++;
                 }
                 else
                 {
                     hasSolved = false;
-                    noReusedIteration++;
                 }
                 if( hasSolved == false )
                 {
@@ -1430,7 +1414,6 @@ class TrackerInvoker : public cv::ParallelLoopBody
                     nextPt += delta;
                     nextPts[ptidx] = nextPt - halfWin;
                     gainVecs[ptidx]= gainVec + deltaGain;
-                    noSolvedIteration++;
                     break;
                 }
 
@@ -1998,9 +1981,6 @@ namespace radial {
                 int j;
                 cv::Mat GMc0, GMc1, GMc2, GMc3;
                 cv::Vec4f Mc0, Mc1, Mc2, Mc3;
-                int noIteration = 0;
-                int noReusedIteration = 0;
-                int noSolvedIteration = 0;
                 for (j = 0; j < criteria.maxCount; j++)
                 {
                     cv::Point2f delta(0, 0);
@@ -2025,7 +2005,6 @@ namespace radial {
                                 nextPts[ptidx] = backUpNextPt;
                                 gainVecs[ptidx] = backUpGain;
                             }
-                            noIteration++;
                             break;
                         }
 
@@ -2291,7 +2270,6 @@ namespace radial {
                                     nextPts[ptidx] = backUpNextPt;
                                     gainVecs[ptidx] = backUpGain;
                                 }
-                                noIteration++;
                                 break;
                             }
 
@@ -2403,13 +2381,10 @@ namespace radial {
 
                             } // isIn1 != isIn2
                         }
-                        if (hasSolved == false)
-                            noIteration++;
                     }
                     else
                     {
                         hasSolved = false;
-                        noReusedIteration++;
                     }
                     if (hasSolved == false)
                     {
@@ -2434,7 +2409,6 @@ namespace radial {
                         nextPt += delta;
                         nextPts[ptidx] = nextPt - halfWin;
                         gainVecs[ptidx] = gainVec + deltaGain;
-                        noSolvedIteration++;
                         break;
                     }
 

modules/optflow/src/rlof/geo_interpolation.cpp

@@ -297,15 +297,12 @@ Mat interpolate_irregular_knn(
         }
     }
 
-    int global_time = 0;
-
     bool done = false;
     while (!done) {
         if (my_agents.size() == 0) {
             done = true;
             break;
         }
-        global_time++;
 
         std::multimap<float, Vec2i >::iterator current_it = my_agents.begin();
         std::pair<float, Vec2i > current_p = *current_it;

modules/rgbd/src/nonrigid_icp.cpp

@@ -365,8 +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);
 
-    int pix_count = 0;
-
     for(int y = 0; y < oldPoints.size().height; y++)
     {
         for(int x = 0; x < oldPoints.size().width; x++)
@@ -394,8 +392,6 @@ bool ICPImpl::estimateWarpNodes(WarpField& currentWarp, const Affine3f &pose,
 
             float rd = Nc.at<Vec3f>(y, x).dot(diff);
 
-            pix_count++;
-
             int n;
             nodeNeighboursType neighbours = volume->getVoxelNeighbours(p, n);
             float totalNeighbourWeight = 0.f;

modules/stereo/test/test_qds_matching.cpp

@@ -12,14 +12,10 @@ static float disparity_MAE(const Mat &reference, const Mat &estimation)
 {
     int elems=0;
     float error=0;
-    float ref_invalid=0;
     for (int row=0; row< reference.rows; row++){
         for (int col=0; col<reference.cols; col++){
             float ref_val = reference.at<float>(row, col);
             float estimated_val = estimation.at<float>(row, col);
-            if (ref_val == 0){
-                ref_invalid++;
-            }
             // filter out pixels with unknown reference value and pixels whose disparity did not get estimated.
             if (estimated_val == 0 || ref_val == 0 || std::isnan(estimated_val)){
                 continue;

modules/surface_matching/src/icp.cpp

@@ -367,7 +367,7 @@ int ICP::registerModelToScene(const Mat& srcPC, const Mat& dstPC, double& residu
         if (node)
         {
           // select the first node
-          size_t idx = reinterpret_cast<size_t>(node->data)-1, dn=0;
+          size_t idx = reinterpret_cast<size_t>(node->data)-1;
           int dup = (int)node->key-1;
           size_t minIdxD = idx;
           float minDist = distances[idx];
@@ -383,7 +383,6 @@ int ICP::registerModelToScene(const Mat& srcPC, const Mat& dstPC, double& residu
             }
 
             node = node->next;
-            dn++;
           }
 
           indicesModel[ selInd ] = newI[ minIdxD ];

modules/text/src/ocr_beamsearch_decoder.cpp

@@ -611,7 +611,6 @@ void OCRBeamSearchClassifierCNN::eval( InputArray _src, vector< vector<double> >
 
         img = src(Rect(Point(x_c,0),Size(window_size,window_size)));
 
-        int patch_count = 0;
         vector< vector<double> > data_pool(9);
 
 
@@ -652,7 +651,6 @@ void OCRBeamSearchClassifierCNN::eval( InputArray _src, vector< vector<double> >
                             data_pool[7].insert(data_pool[7].end(),patch.begin(),patch.end());
                         if ((quad_id == 19)||(quad_id == 24)||(quad_id == 20)||(quad_id == 25))
                             data_pool[8].insert(data_pool[8].end(),patch.begin(),patch.end());
-                        patch_count++;
                     }
                 }
 

modules/text/src/ocr_hmm_decoder.cpp

@@ -1028,7 +1028,6 @@ void OCRHMMClassifierCNN::eval( InputArray _src, vector<int>& out_class, vector<
     Mat quad;
     Mat tmp;
 
-    int patch_count = 0;
     vector< vector<double> > data_pool(9);
 
 
@@ -1071,7 +1070,6 @@ void OCRHMMClassifierCNN::eval( InputArray _src, vector<int>& out_class, vector<
                         data_pool[7].insert(data_pool[7].end(),patch.begin(),patch.end());
                     if ((quad_id == 19)||(quad_id == 24)||(quad_id == 20)||(quad_id == 25))
                         data_pool[8].insert(data_pool[8].end(),patch.begin(),patch.end());
-                    patch_count++;
                 }
             }
 

modules/text/src/text_detector_swt.cpp

@@ -597,7 +597,6 @@ vector<cv::Rect> findValidChains(const Mat& input_image, const Mat& SWTImage, co
         avgCompi.Blue /= compi.points.size();
         colorAverages.push_back(avgCompi);
     }
-    int count = 0;
     std::vector<ChainedComponent> chains;
     for (size_t i = 0; i < components.size(); i++) {
         const Component& compi = components[i];
@@ -632,7 +631,6 @@ vector<cv::Rect> findValidChains(const Mat& input_image, const Mat& SWTImage, co
                             dir.y = dy;
                             chain.dir = dir;
                             chains.push_back(chain);
-                            count++;
                         }
 
             }

modules/tracking/src/multiTracker.cpp

@@ -207,15 +207,12 @@ using namespace impl;
 				tld::TrackerTLDImpl::Nexpert nExpert(imageForDetector, boundingBoxes[k], tldModel->detector, tracker->params);
 				std::vector<Mat_<uchar> > examplesForModel, examplesForEnsemble;
 				examplesForModel.reserve(100); examplesForEnsemble.reserve(100);
-				int negRelabeled = 0;
 				for (int i = 0; i < (int)detectorResults[k].size(); i++)
 				{
 					bool expertResult;
 					if (detectorResults[k][i].isObject)
 					{
 						expertResult = nExpert(detectorResults[k][i].rect);
-						if (expertResult != detectorResults[k][i].isObject)
-							negRelabeled++;
 					}
 					else
 					{
@@ -279,7 +276,6 @@ namespace impl {
 		Mat tmp;
 		int dx = initSize.width / 10, dy = initSize.height / 10;
 		Size2d size = img.size();
-		int npos = 0, nneg = 0;
 		double maxSc = -5.0;
 		Rect2d maxScRect;
 		int scaleID;
@@ -404,8 +400,6 @@ namespace impl {
 			//TLD Model Extraction
 			tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->getModel()));
 
-			npos = 0;
-			nneg = 0;
 			maxSc = -5.0;
 
 			for (int i = 0; i < (int)ensBuffer[k].size(); i++)
@@ -427,13 +421,8 @@ namespace impl {
 
 				if (!labPatch.isObject)
 				{
-					nneg++;
 					continue;
 				}
-				else
-				{
-					npos++;
-				}
 				scValue = tldModel->detector->Sc(standardPatch);
 				if (scValue > maxSc)
 				{
@@ -472,8 +461,6 @@ 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;
 		int scaleID;
@@ -541,7 +528,6 @@ 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);
@@ -598,8 +584,6 @@ namespace impl {
 			tracker = static_cast<tld::TrackerTLDImpl*>(trackerPtr);
 			//TLD Model Extraction
 			tldModel = ((tld::TrackerTLDModel*)static_cast<TrackerModel*>(tracker->getModel()));
-			npos = 0;
-			nneg = 0;
 			maxSc = -5.0;
 
 			//Prepare batch of patches
@@ -639,13 +623,8 @@ namespace impl {
 
 				if (!labPatch.isObject)
 				{
-					nneg++;
 					continue;
 				}
-				else
-				{
-					npos++;
-				}
 				scValue = resultSc[i];
 				if (scValue > maxSc)
 				{