centers 80 3rdparty/libwebp/enc/analysis.c const int centers[NUM_MB_SEGMENTS], centers 83 3rdparty/libwebp/enc/analysis.c int min = centers[0], max = centers[0]; centers 88 3rdparty/libwebp/enc/analysis.c if (min > centers[n]) min = centers[n]; centers 89 3rdparty/libwebp/enc/analysis.c if (max < centers[n]) max = centers[n]; centers 95 3rdparty/libwebp/enc/analysis.c const int alpha = 255 * (centers[n] - mid) / (max - min); centers 96 3rdparty/libwebp/enc/analysis.c const int beta = 255 * (centers[n] - min) / (max - min); centers 148 3rdparty/libwebp/enc/analysis.c int centers[NUM_MB_SEGMENTS]; centers 165 3rdparty/libwebp/enc/analysis.c centers[k++] = min_a + (n * range_a) / (2 * nb); centers 180 3rdparty/libwebp/enc/analysis.c while (n < nb - 1 && abs(a - centers[n + 1]) < abs(a - centers[n])) { centers 197 3rdparty/libwebp/enc/analysis.c displaced += abs(centers[n] - new_center); centers 198 3rdparty/libwebp/enc/analysis.c centers[n] = new_center; centers 212 3rdparty/libwebp/enc/analysis.c mb->alpha_ = centers[map[alpha]]; // for the record. centers 220 3rdparty/libwebp/enc/analysis.c SetSegmentAlphas(enc, centers, weighted_average); // pick some alphas. centers 267 apps/traincascade/old_ml_inner_functions.cpp CvMat* centers = _centers; centers 286 apps/traincascade/old_ml_inner_functions.cpp CV_CALL(centers = cvCreateMat (num_of_clusters, dim, CV_32FC1)); centers 295 apps/traincascade/old_ml_inner_functions.cpp CV_CALL(centers = cvCreateMat (num_of_clusters, dim, CV_64FC1)); centers 308 apps/traincascade/old_ml_inner_functions.cpp CV_CALL(cvGetCol (centers, ¢ers_comp, i)); centers 314 apps/traincascade/old_ml_inner_functions.cpp if( (cvGetErrStatus () < 0) || (centers != _centers) ) centers 315 apps/traincascade/old_ml_inner_functions.cpp cvReleaseMat (¢ers); centers 317 apps/traincascade/old_ml_inner_functions.cpp return _centers ? _centers : centers; centers 1340 apps/traincascade/old_ml_inner_functions.cpp const CvMat* centers, CvMat* dst_centers, centers 1395 apps/traincascade/old_ml_inner_functions.cpp if( dst_centers && (!centers || centers->data.ptr != dst_centers->data.ptr) ) centers 1399 apps/traincascade/old_ml_inner_functions.cpp if( !centers ) centers 1402 apps/traincascade/old_ml_inner_functions.cpp if( centers->rows != dst_centers->rows ) centers 1410 apps/traincascade/old_ml_inner_functions.cpp CV_ASSERT( centers->cols == dims_selected ); centers 1412 apps/traincascade/old_ml_inner_functions.cpp for( i = 0; i < centers->rows; i++ ) centers 1413 apps/traincascade/old_ml_inner_functions.cpp CV_CALL( icvConvertDataToSparse( centers->data.ptr + i*centers->step, 0, centers->type, centers 255 apps/traincascade/old_ml_precomp.hpp CvMat* centers CV_DEFAULT(0)); centers 317 apps/traincascade/old_ml_precomp.hpp const CvMat* centers, CvMat* dst_centers, centers 695 modules/calib3d/include/opencv2/calib3d.hpp OutputArray centers, int flags = CALIB_CB_SYMMETRIC_GRID, centers 196 modules/calib3d/misc/java/test/Calib3dTest.java Mat centers = new Mat(); centers 198 modules/calib3d/misc/java/test/Calib3dTest.java assertFalse(Calib3d.findCirclesGrid(img, new Size(5, 5), centers)); centers 206 modules/calib3d/misc/java/test/Calib3dTest.java assertTrue(Calib3d.findCirclesGrid(img, new Size(5, 5), centers)); centers 208 modules/calib3d/misc/java/test/Calib3dTest.java assertEquals(25, centers.rows()); centers 209 modules/calib3d/misc/java/test/Calib3dTest.java assertEquals(1, centers.cols()); centers 210 modules/calib3d/misc/java/test/Calib3dTest.java assertEquals(CvType.CV_32FC2, centers.type()); centers 217 modules/calib3d/misc/java/test/Calib3dTest.java Mat centers = new Mat(); centers 219 modules/calib3d/misc/java/test/Calib3dTest.java assertFalse(Calib3d.findCirclesGrid(img, new Size(3, 5), centers, Calib3d.CALIB_CB_CLUSTERING centers 231 modules/calib3d/misc/java/test/Calib3dTest.java assertTrue(Calib3d.findCirclesGrid(img, new Size(3, 5), centers, Calib3d.CALIB_CB_CLUSTERING centers 234 modules/calib3d/misc/java/test/Calib3dTest.java assertEquals(15, centers.rows()); centers 235 modules/calib3d/misc/java/test/Calib3dTest.java assertEquals(1, centers.cols()); centers 236 modules/calib3d/misc/java/test/Calib3dTest.java assertEquals(CvType.CV_32FC2, centers.type()); centers 1110 modules/calib3d/src/calibinit.cpp cv::AutoBuffer<CvPoint2D32f> centers( quad_count ); centers 1128 modules/calib3d/src/calibinit.cpp centers[i] = ci; centers 1151 modules/calib3d/src/calibinit.cpp CvPoint2D32f temp = centers[skip]; // temporarily make index 'skip' the same as centers 1152 modules/calib3d/src/calibinit.cpp centers[skip] = center; // pattern center (so it is not counted for convex hull) centers 1153 modules/calib3d/src/calibinit.cpp CvMat pointMat = cvMat(1, quad_count, CV_32FC2, centers); centers 1155 modules/calib3d/src/calibinit.cpp centers[skip] = temp; centers 1194 modules/calib3d/src/calibinit.cpp centers[min_box_area_index] = centers[quad_count]; centers 1952 modules/calib3d/src/calibinit.cpp std::vector<Point2f> centers; centers 1965 modules/calib3d/src/calibinit.cpp circlesGridClusterFinder.findGrid(points, patternSize, centers); centers 1966 modules/calib3d/src/calibinit.cpp Mat(centers).copyTo(_centers); centers 1967 modules/calib3d/src/calibinit.cpp return !centers.empty(); centers 1987 modules/calib3d/src/calibinit.cpp centers.clear(); centers 2011 modules/calib3d/src/calibinit.cpp boxFinder.getHoles(centers); centers 2014 modules/calib3d/src/calibinit.cpp boxFinder.getAsymmetricHoles(centers); centers 2023 modules/calib3d/src/calibinit.cpp transform(centers, orgPointsMat, H.inv()); centers 2024 modules/calib3d/src/calibinit.cpp convertPointsFromHomogeneous(orgPointsMat, centers); centers 2026 modules/calib3d/src/calibinit.cpp Mat(centers).copyTo(_centers); centers 2030 modules/calib3d/src/calibinit.cpp boxFinder.getHoles(centers); centers 2033 modules/calib3d/src/calibinit.cpp if (centers.size() < minHomographyPoints) centers 2035 modules/calib3d/src/calibinit.cpp H = CirclesGridFinder::rectifyGrid(boxFinder.getDetectedGridSize(), centers, points, points); centers 2038 modules/calib3d/src/calibinit.cpp Mat(centers).copyTo(_centers); centers 138 modules/calib3d/src/circlesgrid.cpp void CirclesGridClusterFinder::findGrid(const std::vector<cv::Point2f> &points, cv::Size _patternSize, std::vector<Point2f>& centers) centers 141 modules/calib3d/src/circlesgrid.cpp centers.clear(); centers 188 modules/calib3d/src/circlesgrid.cpp parsePatternPoints(patternPoints, rectifiedPatternPoints, centers); centers 392 modules/calib3d/src/circlesgrid.cpp void CirclesGridClusterFinder::parsePatternPoints(const std::vector<cv::Point2f> &patternPoints, const std::vector<cv::Point2f> &rectifiedPatternPoints, std::vector<cv::Point2f> ¢ers) centers 397 modules/calib3d/src/circlesgrid.cpp centers.clear(); centers 415 modules/calib3d/src/circlesgrid.cpp centers.push_back(patternPoints.at(indicesbuf[0])); centers 422 modules/calib3d/src/circlesgrid.cpp centers.clear(); centers 816 modules/calib3d/src/circlesgrid.cpp Mat CirclesGridFinder::rectifyGrid(Size detectedGridSize, const std::vector<Point2f>& centers, centers 819 modules/calib3d/src/circlesgrid.cpp CV_Assert( !centers.empty() ); centers 825 modules/calib3d/src/circlesgrid.cpp getDirection(centers[0], centers[detectedGridSize.width - 1], centers[centers.size() - 1]) < 0; centers 838 modules/calib3d/src/circlesgrid.cpp Mat H = findHomography(Mat(centers), Mat(dstPoints), RANSAC); centers 1092 modules/calib3d/src/circlesgrid.cpp Mat centers; centers 1095 modules/calib3d/src/circlesgrid.cpp KMEANS_RANDOM_CENTERS, centers); centers 1096 modules/calib3d/src/circlesgrid.cpp CV_Assert( centers.type() == CV_32FC1 ); centers 1102 modules/calib3d/src/circlesgrid.cpp int maxIdx = (fabs(centers.at<float> (i, 0)) < fabs(centers.at<float> (i, 1))); centers 1103 modules/calib3d/src/circlesgrid.cpp if (centers.at<float> (i, maxIdx) > 0) centers 1105 modules/calib3d/src/circlesgrid.cpp Point2f vec(centers.at<float> (i, 0), centers.at<float> (i, 1)); centers 65 modules/calib3d/src/circlesgrid.hpp void findGrid(const std::vector<cv::Point2f> &points, cv::Size patternSize, std::vector<cv::Point2f>& centers); centers 74 modules/calib3d/src/circlesgrid.hpp void parsePatternPoints(const std::vector<cv::Point2f> &patternPoints, const std::vector<cv::Point2f> &rectifiedPatternPoints, std::vector<cv::Point2f> ¢ers); centers 152 modules/calib3d/src/circlesgrid.hpp static cv::Mat rectifyGrid(cv::Size detectedGridSize, const std::vector<cv::Point2f>& centers, const std::vector< centers 2836 modules/core/include/opencv2/core.hpp int flags, OutputArray centers = noArray() ); centers 831 modules/core/misc/java/test/CoreTest.java Mat centers = new Mat(); centers 833 modules/core/misc/java/test/CoreTest.java Core.kmeans(data, 2, labels, criteria, 6, Core.KMEANS_RANDOM_CENTERS, centers); centers 850 modules/core/misc/java/test/CoreTest.java assertMatEqual(expected_centers, centers, EPS); centers 37 modules/core/perf/perf_math.cpp Mat labels, centers; centers 56 modules/core/perf/perf_math.cpp attempts, KMEANS_PP_CENTERS, centers); centers 108 modules/core/src/kmeans.cpp int* centers = &_centers[0]; centers 113 modules/core/src/kmeans.cpp centers[0] = (unsigned)rng % N; centers 117 modules/core/src/kmeans.cpp dist[i] = normL2Sqr(data + step*i, data + step*centers[0], dims); centers 148 modules/core/src/kmeans.cpp centers[k] = bestCenter; centers 155 modules/core/src/kmeans.cpp const float* src = data + step*centers[k]; centers 180 modules/core/src/kmeans.cpp const int K = centers.rows; centers 181 modules/core/src/kmeans.cpp const int dims = centers.cols; centers 191 modules/core/src/kmeans.cpp const float* center = centers.ptr<float>(k); centers 212 modules/core/src/kmeans.cpp const Mat& centers; centers 257 modules/core/src/kmeans.cpp Mat centers(K, dims, type), old_centers(K, dims, type), temp(1, dims, type); centers 302 modules/core/src/kmeans.cpp swap(centers, old_centers); centers 307 modules/core/src/kmeans.cpp generateCentersPP(data, centers, K, rng, SPP_TRIALS); centers 311 modules/core/src/kmeans.cpp generateRandomCenter(_box, centers.ptr<float>(k), rng); centers 323 modules/core/src/kmeans.cpp centers = Scalar(0); centers 331 modules/core/src/kmeans.cpp float* center = centers.ptr<float>(k); centers 375 modules/core/src/kmeans.cpp float* new_center = centers.ptr<float>(k); centers 376 modules/core/src/kmeans.cpp float* old_center = centers.ptr<float>(max_k); centers 410 modules/core/src/kmeans.cpp float* center = centers.ptr<float>(k); centers 438 modules/core/src/kmeans.cpp KMeansDistanceComputer(dist, labels, data, centers)); centers 450 modules/core/src/kmeans.cpp centers.copyTo(_centers); centers 4225 modules/core/src/matrix.cpp cv::Mat data = cv::cvarrToMat(_samples), labels = cv::cvarrToMat(_labels), centers; centers 4228 modules/core/src/matrix.cpp centers = cv::cvarrToMat(_centers); centers 4230 modules/core/src/matrix.cpp centers = centers.reshape(1); centers 4233 modules/core/src/matrix.cpp CV_Assert( !centers.empty() ); centers 4234 modules/core/src/matrix.cpp CV_Assert( centers.rows == cluster_count ); centers 4235 modules/core/src/matrix.cpp CV_Assert( centers.cols == data.cols ); centers 4236 modules/core/src/matrix.cpp CV_Assert( centers.depth() == data.depth() ); centers 4243 modules/core/src/matrix.cpp flags, _centers ? cv::_OutputArray(centers) : cv::_OutputArray() ); centers 64 modules/cudaimgproc/src/hough_circles.cpp int buildCentersList_gpu(PtrStepSzi accum, unsigned int* centers, int threshold); centers 65 modules/cudaimgproc/src/hough_circles.cpp int circlesAccumRadius_gpu(const unsigned int* centers, int centersCount, const unsigned int* list, int count, centers 188 modules/cudaimgproc/src/hough_circles.cpp unsigned int* centers = list_.ptr<unsigned int>(1); centers 204 modules/cudaimgproc/src/hough_circles.cpp int centersCount = buildCentersList_gpu(accum_, centers, votesThreshold_); centers 220 modules/cudaimgproc/src/hough_circles.cpp cudaSafeCall( cudaMemcpy(oldBuf, centers, centersCount * sizeof(ushort2), cudaMemcpyDeviceToHost) ); centers 292 modules/cudaimgproc/src/hough_circles.cpp cudaSafeCall( cudaMemcpy(centers, newBuf, newCount * sizeof(unsigned int), cudaMemcpyHostToDevice) ); centers 298 modules/cudaimgproc/src/hough_circles.cpp int circlesCount = circlesAccumRadius_gpu(centers, centersCount, srcPoints, pointsCount, result_.ptr<float3>(), maxCircles_, centers 79 modules/features2d/src/blobdetector.cpp virtual void findBlobs(InputArray image, InputArray binaryImage, std::vector<Center> ¢ers) const; centers 190 modules/features2d/src/blobdetector.cpp void SimpleBlobDetectorImpl::findBlobs(InputArray _image, InputArray _binaryImage, std::vector<Center> ¢ers) const centers 194 modules/features2d/src/blobdetector.cpp centers.clear(); centers 291 modules/features2d/src/blobdetector.cpp centers.push_back(center); centers 314 modules/features2d/src/blobdetector.cpp std::vector < std::vector<Center> > centers; centers 326 modules/features2d/src/blobdetector.cpp for (size_t j = 0; j < centers.size(); j++) centers 328 modules/features2d/src/blobdetector.cpp double dist = norm(centers[j][ centers[j].size() / 2 ].location - curCenters[i].location); centers 329 modules/features2d/src/blobdetector.cpp isNew = dist >= params.minDistBetweenBlobs && dist >= centers[j][ centers[j].size() / 2 ].radius && dist >= curCenters[i].radius; centers 332 modules/features2d/src/blobdetector.cpp centers[j].push_back(curCenters[i]); centers 334 modules/features2d/src/blobdetector.cpp size_t k = centers[j].size() - 1; centers 335 modules/features2d/src/blobdetector.cpp while( k > 0 && centers[j][k].radius < centers[j][k-1].radius ) centers 337 modules/features2d/src/blobdetector.cpp centers[j][k] = centers[j][k-1]; centers 340 modules/features2d/src/blobdetector.cpp centers[j][k] = curCenters[i]; centers 348 modules/features2d/src/blobdetector.cpp std::copy(newCenters.begin(), newCenters.end(), std::back_inserter(centers)); centers 351 modules/features2d/src/blobdetector.cpp for (size_t i = 0; i < centers.size(); i++) centers 353 modules/features2d/src/blobdetector.cpp if (centers[i].size() < params.minRepeatability) centers 357 modules/features2d/src/blobdetector.cpp for (size_t j = 0; j < centers[i].size(); j++) centers 359 modules/features2d/src/blobdetector.cpp sumPoint += centers[i][j].confidence * centers[i][j].location; centers 360 modules/features2d/src/blobdetector.cpp normalizer += centers[i][j].confidence; centers 363 modules/features2d/src/blobdetector.cpp KeyPoint kpt(sumPoint, (float)(centers[i][centers[i].size() / 2].radius) * 2.0f); centers 518 modules/flann/include/opencv2/flann.hpp int hierarchicalClustering(const Mat& features, Mat& centers, const ::cvflann::KMeansIndexParams& params, centers 528 modules/flann/include/opencv2/flann.hpp CV_Assert(centers.type() == CvType<DistanceType>::type()); centers 529 modules/flann/include/opencv2/flann.hpp CV_Assert(centers.isContinuous()); centers 530 modules/flann/include/opencv2/flann.hpp ::cvflann::Matrix<DistanceType> m_centers((DistanceType*)centers.ptr<DistanceType>(0), centers.rows, centers.cols); centers 538 modules/flann/include/opencv2/flann.hpp FLANN_DEPRECATED int hierarchicalClustering(const Mat& features, Mat& centers, const ::cvflann::KMeansIndexParams& params) centers 544 modules/flann/include/opencv2/flann.hpp return hierarchicalClustering< L2<ELEM_TYPE> >(features, centers, params); centers 547 modules/flann/include/opencv2/flann.hpp return hierarchicalClustering< L1<ELEM_TYPE> >(features, centers, params); centers 279 modules/flann/include/opencv2/flann/flann_base.hpp int hierarchicalClustering(const Matrix<typename Distance::ElementType>& points, Matrix<typename Distance::ResultType>& centers, centers 285 modules/flann/include/opencv2/flann/flann_base.hpp int clusterNum = kmeans.getClusterCenters(centers); centers 108 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h void chooseCentersRandom(int k, int* dsindices, int indices_length, int* centers, int& centers_length) centers 124 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h centers[index] = dsindices[rnd]; centers 127 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h DistanceType sq = distance(dataset[centers[index]], dataset[centers[j]], dataset.cols); centers 149 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h void chooseCentersGonzales(int k, int* dsindices, int indices_length, int* centers, int& centers_length) centers 156 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h centers[0] = dsindices[rnd]; centers 164 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h DistanceType dist = distance(dataset[centers[0]],dataset[dsindices[j]],dataset.cols); centers 166 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h DistanceType tmp_dist = distance(dataset[centers[i]],dataset[dsindices[j]],dataset.cols); centers 177 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h centers[index] = dsindices[best_index]; centers 200 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h void chooseCentersKMeanspp(int k, int* dsindices, int indices_length, int* centers, int& centers_length) centers 210 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h centers[0] = dsindices[index]; centers 255 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h centers[centerCount] = dsindices[bestNewIndex]; centers 286 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h void GroupWiseCenterChooser(int k, int* dsindices, int indices_length, int* centers, int& centers_length) centers 297 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h centers[0] = dsindices[index]; centers 334 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h centers[centerCount] = dsindices[bestNewIndex]; centers 652 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h void computeLabels(int* dsindices, int indices_length, int* centers, int centers_length, int* labels, DistanceType& cost) centers 657 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h DistanceType dist = distance(point, dataset[centers[0]], veclen_); centers 660 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h DistanceType new_dist = distance(point, dataset[centers[j]], veclen_); centers 693 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h std::vector<int> centers(branching); centers 697 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h (this->*chooseCenters)(branching, dsindices, indices_length, ¢ers[0], centers_length); centers 709 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h computeLabels(dsindices, indices_length, ¢ers[0], centers_length, &labels[0], cost); centers 724 modules/flann/include/opencv2/flann/hierarchical_clustering_index.h node->childs[i]->pivot = centers[i]; centers 107 modules/flann/include/opencv2/flann/kmeans_index.h void chooseCentersRandom(int k, int* indices, int indices_length, int* centers, int& centers_length) centers 123 modules/flann/include/opencv2/flann/kmeans_index.h centers[index] = indices[rnd]; centers 126 modules/flann/include/opencv2/flann/kmeans_index.h DistanceType sq = distance_(dataset_[centers[index]], dataset_[centers[j]], dataset_.cols); centers 148 modules/flann/include/opencv2/flann/kmeans_index.h void chooseCentersGonzales(int k, int* indices, int indices_length, int* centers, int& centers_length) centers 155 modules/flann/include/opencv2/flann/kmeans_index.h centers[0] = indices[rnd]; centers 163 modules/flann/include/opencv2/flann/kmeans_index.h DistanceType dist = distance_(dataset_[centers[0]],dataset_[indices[j]],dataset_.cols); centers 165 modules/flann/include/opencv2/flann/kmeans_index.h DistanceType tmp_dist = distance_(dataset_[centers[i]],dataset_[indices[j]],dataset_.cols); centers 176 modules/flann/include/opencv2/flann/kmeans_index.h centers[index] = indices[best_index]; centers 199 modules/flann/include/opencv2/flann/kmeans_index.h void chooseCentersKMeanspp(int k, int* indices, int indices_length, int* centers, int& centers_length) centers 209 modules/flann/include/opencv2/flann/kmeans_index.h centers[0] = indices[index]; centers 252 modules/flann/include/opencv2/flann/kmeans_index.h centers[centerCount] = indices[bestNewIndex]; centers 530 modules/flann/include/opencv2/flann/kmeans_index.h int getClusterCenters(Matrix<DistanceType>& centers) centers 532 modules/flann/include/opencv2/flann/kmeans_index.h int numClusters = centers.rows; centers 547 modules/flann/include/opencv2/flann/kmeans_index.h centers[i][j] = center[j]; centers 832 modules/flann/include/opencv2/flann/kmeans_index.h DistanceType** centers = new DistanceType*[branching]; centers 835 modules/flann/include/opencv2/flann/kmeans_index.h centers[i] = new DistanceType[veclen_]; centers 838 modules/flann/include/opencv2/flann/kmeans_index.h centers[i][k] = (DistanceType)dcenters[i][k]; centers 864 modules/flann/include/opencv2/flann/kmeans_index.h variance -= distance_(centers[c], ZeroIterator<ElementType>(), veclen_); centers 868 modules/flann/include/opencv2/flann/kmeans_index.h node->childs[c]->pivot = centers[c]; centers 1019 modules/imgproc/src/hough.cpp CvSeq *nz, *centers; centers 1045 modules/imgproc/src/hough.cpp centers = cvCreateSeq( CV_32SC1, sizeof(CvSeq), sizeof(int), storage ); centers 1114 modules/imgproc/src/hough.cpp cvSeqPush(centers, &base); centers 1118 modules/imgproc/src/hough.cpp center_count = centers->total; centers 1123 modules/imgproc/src/hough.cpp cvCvtSeqToArray( centers, &sort_buf[0] ); centers 1127 modules/imgproc/src/hough.cpp cvClearSeq( centers ); centers 1128 modules/imgproc/src/hough.cpp cvSeqPushMulti( centers, &sort_buf[0], center_count ); centers 1138 modules/imgproc/src/hough.cpp for( i = 0; i < centers->total; i++ ) centers 1140 modules/imgproc/src/hough.cpp int ofs = *(int*)cvGetSeqElem( centers, i ); centers 267 modules/stitching/include/opencv2/stitching/detail/motion_estimators.hpp Graph &span_tree, std::vector<int> ¢ers); centers 813 modules/stitching/src/motion_estimators.cpp Graph &span_tree, std::vector<int> ¢ers) centers 875 modules/stitching/src/motion_estimators.cpp centers.clear(); centers 878 modules/stitching/src/motion_estimators.cpp centers.push_back(i); centers 879 modules/stitching/src/motion_estimators.cpp CV_Assert(centers.size() > 0 && centers.size() <= 2); centers 81 samples/cpp/delaunay2.cpp vector<Point2f> centers; centers 82 samples/cpp/delaunay2.cpp subdiv.getVoronoiFacetList(vector<int>(), facets, centers); centers 101 samples/cpp/delaunay2.cpp circle(img, centers[i], 3, Scalar(), FILLED, LINE_AA, 0); centers 40 samples/cpp/kmeans.cpp Mat centers; centers 58 samples/cpp/kmeans.cpp 3, KMEANS_PP_CENTERS, centers);