dim               127 apps/traincascade/old_ml_inner_functions.cpp     int dim = A->rows;
dim               132 apps/traincascade/old_ml_inner_functions.cpp     for( i = 0; i < dim; i++ )
dim               143 apps/traincascade/old_ml_inner_functions.cpp         for( j = i + 1; j < dim; j++ )
dim               160 apps/traincascade/old_ml_inner_functions.cpp     int dim = sample->cols;
dim               166 apps/traincascade/old_ml_inner_functions.cpp     CvMat* utmat = cvCreateMat(dim, dim, sample->type);
dim               167 apps/traincascade/old_ml_inner_functions.cpp     CvMat* vect = cvCreateMatHeader(1, dim, sample->type);
dim               220 apps/traincascade/old_ml_inner_functions.cpp     int dim = sample->cols;
dim               227 apps/traincascade/old_ml_inner_functions.cpp     CvMat* vect = cvCreateMatHeader(1, dim, CV_32FC1);
dim               242 apps/traincascade/old_ml_inner_functions.cpp         utmats[i] = cvCreateMat(dim, dim, CV_32FC1);
dim               277 apps/traincascade/old_ml_inner_functions.cpp     int dim = data ? data->cols : 0;
dim               286 apps/traincascade/old_ml_inner_functions.cpp             CV_CALL(centers = cvCreateMat (num_of_clusters, dim, CV_32FC1));
dim               295 apps/traincascade/old_ml_inner_functions.cpp             CV_CALL(centers = cvCreateMat (num_of_clusters, dim, CV_64FC1));
dim               304 apps/traincascade/old_ml_inner_functions.cpp     for (i = 0; i < dim; i++)
dim               799 modules/core/include/opencv2/core.hpp CV_EXPORTS_W void reduce(InputArray src, OutputArray dst, int dim, int rtype, int dtype = -1);
dim              1496 modules/core/include/opencv2/core/core_c.h CVAPI(void)  cvReduce( const CvArr* src, CvArr* dst, int dim CV_DEFAULT(-1),
dim               113 modules/core/include/opencv2/core/opencl/runtime/autogenerated/opencl_clamdfft.hpp extern CL_RUNTIME_EXPORT clAmdFftStatus (*clAmdFftCreateDefaultPlan)(clAmdFftPlanHandle* plHandle, cl_context context, const clAmdFftDim dim, const size_t* clLengths);
dim               134 modules/core/include/opencv2/core/opencl/runtime/autogenerated/opencl_clamdfft.hpp extern CL_RUNTIME_EXPORT clAmdFftStatus (*clAmdFftSetPlanInStride)(clAmdFftPlanHandle plHandle, const clAmdFftDim dim, size_t* clStrides);
dim               136 modules/core/include/opencv2/core/opencl/runtime/autogenerated/opencl_clamdfft.hpp extern CL_RUNTIME_EXPORT clAmdFftStatus (*clAmdFftSetPlanOutStride)(clAmdFftPlanHandle plHandle, const clAmdFftDim dim, size_t* clStrides);
dim               648 modules/core/include/opencv2/core/types_c.h     dim[CV_MAX_DIM];
dim              1083 modules/core/perf/opencl/perf_arithm.cpp             dim = get<2>(params), op = get<3>(params);
dim              1085 modules/core/perf/opencl/perf_arithm.cpp             dstSize(dim == 0 ? srcSize.width : 1, dim == 0 ? 1 : srcSize.height);
dim              1094 modules/core/perf/opencl/perf_arithm.cpp     OCL_TEST_CYCLE() cv::reduce(src, dst, dim, op, dtype);
dim              1114 modules/core/perf/opencl/perf_arithm.cpp             dim = get<2>(params), op = get<3>(params);
dim              1116 modules/core/perf/opencl/perf_arithm.cpp             dstSize(dim == 0 ? srcSize.width : 1, dim == 0 ? 1 : srcSize.height);
dim              1125 modules/core/perf/opencl/perf_arithm.cpp     OCL_TEST_CYCLE() cv::reduce(src, dst, dim, op, dtype);
dim               253 modules/core/src/array.cpp         mat->dim[i].size = sizes[i];
dim               256 modules/core/src/array.cpp         mat->dim[i].step = (int)step;
dim               307 modules/core/src/array.cpp         sizes[i] = src->dim[i].size;
dim               362 modules/core/src/array.cpp         matnd->dim[0].size = mat->rows;
dim               363 modules/core/src/array.cpp         matnd->dim[0].step = mat->step;
dim               364 modules/core/src/array.cpp         matnd->dim[1].size = mat->cols;
dim               365 modules/core/src/array.cpp         matnd->dim[1].step = CV_ELEM_SIZE(mat->type);
dim               461 modules/core/src/array.cpp                     if( hdr->dim[j].size != hdr0->dim[j].size )
dim               472 modules/core/src/array.cpp             if( step != hdr->dim[j].step )
dim               474 modules/core/src/array.cpp             step *= hdr->dim[j].size;
dim               489 modules/core/src/array.cpp         size *= hdr0->dim[j].size;
dim               497 modules/core/src/array.cpp         iterator->stack[i] = hdr0->dim[i].size;
dim               512 modules/core/src/array.cpp             iterator->ptr[i] += iterator->hdr[i]->dim[dims-1].step;
dim               517 modules/core/src/array.cpp         const int size = iterator->hdr[0]->dim[dims-1].size;
dim               520 modules/core/src/array.cpp             iterator->ptr[i] -= (size_t)size*iterator->hdr[i]->dim[dims-1].step;
dim               861 modules/core/src/array.cpp         if( mat->dim[0].size == 0 )
dim               869 modules/core/src/array.cpp             total_size = (size_t)mat->dim[0].size*(mat->dim[0].step != 0 ?
dim               870 modules/core/src/array.cpp                          (size_t)mat->dim[0].step : total_size);
dim               877 modules/core/src/array.cpp                 size_t size = (size_t)mat->dim[i].step*mat->dim[i].size;
dim               969 modules/core/src/array.cpp             mat->dim[i].step = (int)cur_step;
dim               970 modules/core/src/array.cpp             cur_step *= mat->dim[i].size;
dim              1060 modules/core/src/array.cpp                 int size1 = mat->dim[0].size, size2 = 1;
dim              1066 modules/core/src/array.cpp                         size1 *= mat->dim[i].size;
dim              1069 modules/core/src/array.cpp                     size2 = mat->dim[1].size;
dim              1076 modules/core/src/array.cpp                 *step = mat->dim[0].step;
dim              1138 modules/core/src/array.cpp                 sizes[i] = mat->dim[i].size;
dim              1201 modules/core/src/array.cpp         size = mat->dim[index].size;
dim              1692 modules/core/src/array.cpp         size_t size = mat->dim[0].size;
dim              1698 modules/core/src/array.cpp             size *= mat->dim[j].size;
dim              1713 modules/core/src/array.cpp                 int sz = mat->dim[j].size;
dim              1717 modules/core/src/array.cpp                     ptr += (idx - t*sz)*mat->dim[j].step;
dim              1825 modules/core/src/array.cpp             (unsigned)y >= (unsigned)(mat->dim[0].size) ||
dim              1826 modules/core/src/array.cpp             (unsigned)x >= (unsigned)(mat->dim[1].size) )
dim              1829 modules/core/src/array.cpp         ptr = mat->data.ptr + (size_t)y*mat->dim[0].step + x*mat->dim[1].step;
dim              1857 modules/core/src/array.cpp             (unsigned)z >= (unsigned)(mat->dim[0].size) ||
dim              1858 modules/core/src/array.cpp             (unsigned)y >= (unsigned)(mat->dim[1].size) ||
dim              1859 modules/core/src/array.cpp             (unsigned)x >= (unsigned)(mat->dim[2].size) )
dim              1862 modules/core/src/array.cpp         ptr = mat->data.ptr + (size_t)z*mat->dim[0].step +
dim              1863 modules/core/src/array.cpp               (size_t)y*mat->dim[1].step + x*mat->dim[2].step;
dim              1902 modules/core/src/array.cpp             if( (unsigned)idx[i] >= (unsigned)(mat->dim[i].size) )
dim              1904 modules/core/src/array.cpp             ptr += (size_t)idx[i]*mat->dim[i].step;
dim              2464 modules/core/src/array.cpp         int size1 = matnd->dim[0].size, size2 = 1;
dim              2476 modules/core/src/array.cpp                 size2 *= matnd->dim[i].size;
dim              2479 modules/core/src/array.cpp             size2 = matnd->dims == 1 ? 1 : matnd->dim[1].size;
dim              2627 modules/core/src/array.cpp             int last_dim_size = mat->dim[mat->dims-1].size*CV_MAT_CN(mat->type);
dim              2641 modules/core/src/array.cpp             header->dim[header->dims-1].size = new_size;
dim              2666 modules/core/src/array.cpp             size1 = mat->dim[0].size;
dim              2668 modules/core/src/array.cpp                 size1 *= mat->dim[i].size;
dim              2696 modules/core/src/array.cpp                 header->dim[i].size = new_sizes[i];
dim              2697 modules/core/src/array.cpp                 header->dim[i].step = step;
dim              2216 modules/core/src/dxt.cpp             clAmdFftDim dim = dft_size.height == 1 || dft_rows ? CLFFT_1D : CLFFT_2D;
dim              2253 modules/core/src/dxt.cpp             CLAMDDFT_Assert(clAmdFftCreateDefaultPlan(&plHandle, (cl_context)ocl::Context::getDefault().ptr(), dim, clLengthsIn))
dim              2260 modules/core/src/dxt.cpp             CLAMDDFT_Assert(clAmdFftSetPlanInStride(plHandle, dim, clStridesIn))
dim              2261 modules/core/src/dxt.cpp             CLAMDDFT_Assert(clAmdFftSetPlanOutStride(plHandle, dim, clStridesOut))
dim              2262 modules/core/src/dxt.cpp             CLAMDDFT_Assert(clAmdFftSetPlanDistance(plHandle, clStridesIn[dim], clStridesOut[dim]))
dim               563 modules/core/src/matrix.cpp         _sizes[i] = m->dim[i].size;
dim               564 modules/core/src/matrix.cpp         _steps[i] = m->dim[i].step;
dim              3527 modules/core/src/matrix.cpp                        int dim, int op, int op0, int stype, int dtype)
dim              3536 modules/core/src/matrix.cpp     bool useOptimized = 1 == dim && _src.cols() > min_opt_cols && (wgs >= buf_cols);
dim              3596 modules/core/src/matrix.cpp                                       ops[op], dim, cn, ddepth, ocl::typeToStr(useOptimized ? ddepth : sdepth),
dim              3608 modules/core/src/matrix.cpp         Size dsize(dim == 0 ? src.cols : 1, dim == 0 ? 1 : src.rows);
dim              3616 modules/core/src/matrix.cpp             k.args(srcarg, temparg, 1.0f / (dim == 0 ? src.rows : src.cols));
dim              3629 modules/core/src/matrix.cpp void cv::reduce(InputArray _src, OutputArray _dst, int dim, int op, int dtype)
dim              3644 modules/core/src/matrix.cpp                ocl_reduce(_src, _dst, dim, op, op0, stype, dtype))
dim              3647 modules/core/src/matrix.cpp     _dst.create(dim == 0 ? 1 : src.rows, dim == 0 ? src.cols : 1, dtype);
dim              3661 modules/core/src/matrix.cpp     if( dim == 0 )
dim              3773 modules/core/src/matrix.cpp         temp.convertTo(dst, dst.type(), 1./(dim == 0 ? src.rows : src.cols));
dim              4113 modules/core/src/matrix.cpp cvReduce( const CvArr* srcarr, CvArr* dstarr, int dim, int op )
dim              4117 modules/core/src/matrix.cpp     if( dim < 0 )
dim              4118 modules/core/src/matrix.cpp         dim = src.rows > dst.rows ? 0 : src.cols > dst.cols ? 1 : dst.cols == 1;
dim              4120 modules/core/src/matrix.cpp     if( dim > 1 )
dim              4123 modules/core/src/matrix.cpp     if( (dim == 0 && (dst.cols != src.cols || dst.rows != 1)) ||
dim              4124 modules/core/src/matrix.cpp         (dim == 1 && (dst.rows != src.rows || dst.cols != 1)) )
dim              4130 modules/core/src/matrix.cpp     cv::reduce(src, dst, dim, op, dst.type());
dim              5405 modules/core/src/matrix.cpp         dim[i].step = (int)m.step[i];
dim               180 modules/core/src/opencl/reduce2.cl #if dim == 0 // reduce to a single row
dim               212 modules/core/src/opencl/reduce2.cl #elif dim == 1 // reduce to a single column
dim              3612 modules/core/src/persistence.cpp     if( mat->dim[0].size > 0 && mat->data.ptr )
dim              1714 modules/core/test/ocl/test_arithm.cpp     int sdepth, ddepth, cn, dim, dtype;
dim              1726 modules/core/test/ocl/test_arithm.cpp         dim = GET_PARAM(2);
dim              1739 modules/core/test/ocl/test_arithm.cpp         Size dstRoiSize = Size(dim == 0 ? roiSize.width : 1, dim == 0 ? 1 : roiSize.height);
dim              1756 modules/core/test/ocl/test_arithm.cpp         OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_SUM, dtype));
dim              1757 modules/core/test/ocl/test_arithm.cpp         OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_SUM, dtype));
dim              1772 modules/core/test/ocl/test_arithm.cpp         OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_MAX, dtype));
dim              1773 modules/core/test/ocl/test_arithm.cpp         OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_MAX, dtype));
dim              1787 modules/core/test/ocl/test_arithm.cpp         OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_MIN, dtype));
dim              1788 modules/core/test/ocl/test_arithm.cpp         OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_MIN, dtype));
dim              1802 modules/core/test/ocl/test_arithm.cpp         OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_AVG, dtype));
dim              1803 modules/core/test/ocl/test_arithm.cpp         OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_AVG, dtype));
dim                15 modules/core/test/test_mat.cpp     int checkOp( const Mat& src, int dstType, int opType, const Mat& opRes, int dim );
dim                16 modules/core/test/test_mat.cpp     int checkCase( int srcType, int dstType, int dim, Size sz );
dim                17 modules/core/test/test_mat.cpp     int checkDim( int dim, Size sz );
dim                22 modules/core/test/test_mat.cpp void testReduce( const Mat& src, Mat& sum, Mat& avg, Mat& max, Mat& min, int dim )
dim                25 modules/core/test/test_mat.cpp     if( dim == 0 ) // row
dim                46 modules/core/test/test_mat.cpp     if( dim == 0 )
dim                71 modules/core/test/test_mat.cpp     avg = avg * (1.0 / (dim==0 ? (double)src.rows : (double)src.cols));
dim                85 modules/core/test/test_mat.cpp int Core_ReduceTest::checkOp( const Mat& src, int dstType, int opType, const Mat& opRes, int dim )
dim               136 modules/core/test/test_mat.cpp     reduce( src, _dst, dim, opType, dstType );
dim               155 modules/core/test/test_mat.cpp         const char* dimStr = dim == 0 ? "ROWS" : "COLS";
dim               165 modules/core/test/test_mat.cpp int Core_ReduceTest::checkCase( int srcType, int dstType, int dim, Size sz )
dim               174 modules/core/test/test_mat.cpp         testReduce<uchar>( src, sum, avg, max, min, dim );
dim               176 modules/core/test/test_mat.cpp         testReduce<char>( src, sum, avg, max, min, dim );
dim               178 modules/core/test/test_mat.cpp         testReduce<unsigned short int>( src, sum, avg, max, min, dim );
dim               180 modules/core/test/test_mat.cpp         testReduce<short int>( src, sum, avg, max, min, dim );
dim               182 modules/core/test/test_mat.cpp         testReduce<int>( src, sum, avg, max, min, dim );
dim               184 modules/core/test/test_mat.cpp         testReduce<float>( src, sum, avg, max, min, dim );
dim               186 modules/core/test/test_mat.cpp         testReduce<double>( src, sum, avg, max, min, dim );
dim               191 modules/core/test/test_mat.cpp     tempCode = checkOp( src, dstType, CV_REDUCE_SUM, sum, dim );
dim               195 modules/core/test/test_mat.cpp     tempCode = checkOp( src, dstType, CV_REDUCE_AVG, avg, dim );
dim               199 modules/core/test/test_mat.cpp     tempCode = checkOp( src, dstType, CV_REDUCE_MAX, max, dim );
dim               203 modules/core/test/test_mat.cpp     tempCode = checkOp( src, dstType, CV_REDUCE_MIN, min, dim );
dim               209 modules/core/test/test_mat.cpp int Core_ReduceTest::checkDim( int dim, Size sz )
dim               214 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_8UC1, CV_8UC1, dim, sz );
dim               217 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_8UC1, CV_32SC1, dim, sz );
dim               220 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_8UC1, CV_32FC1, dim, sz );
dim               223 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_8UC1, CV_64FC1, dim, sz );
dim               227 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_16UC1, CV_32FC1, dim, sz );
dim               230 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_16UC1, CV_64FC1, dim, sz );
dim               234 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_16SC1, CV_32FC1, dim, sz );
dim               237 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_16SC1, CV_64FC1, dim, sz );
dim               241 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_32FC1, CV_32FC1, dim, sz );
dim               244 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_32FC1, CV_64FC1, dim, sz );
dim               248 modules/core/test/test_mat.cpp     tempCode = checkCase( CV_64FC1, CV_64FC1, dim, sz );
dim              2362 modules/core/test/test_math.cpp         const int dim = theRNG().uniform(1,10);
dim              2364 modules/core/test/test_math.cpp         Mat x(axisCount + 1, dim, CV_32FC1),
dim              2365 modules/core/test/test_math.cpp             y(axisCount + 1, dim, CV_32FC1);
dim              2366 modules/core/test/test_math.cpp         Mat anglesInDegrees(axisCount + 1, dim, CV_32FC1);
dim               647 modules/cudaarithm/include/opencv2/cudaarithm.hpp CV_EXPORTS void reduce(InputArray mtx, OutputArray vec, int dim, int reduceOp, int dtype = -1, Stream& stream = Stream::Null());
dim               357 modules/cudaarithm/perf/perf_reductions.cpp     const int dim = GET_PARAM(4);
dim               369 modules/cudaarithm/perf/perf_reductions.cpp         TEST_CYCLE() cv::cuda::reduce(d_src, dst, dim, reduceOp, CV_32F);
dim               377 modules/cudaarithm/perf/perf_reductions.cpp         TEST_CYCLE() cv::reduce(src, dst, dim, reduceOp, CV_32F);
dim               230 modules/cudafeatures2d/test/test_features2d.cpp     int dim;
dim               242 modules/cudafeatures2d/test/test_features2d.cpp         dim = GET_PARAM(2);
dim               256 modules/cudafeatures2d/test/test_features2d.cpp         queryBuf.create(queryDescCount, dim, CV_32SC1);
dim               265 modules/cudafeatures2d/test/test_features2d.cpp         trainBuf.create(queryDescCount * countFactor, dim, CV_32FC1);
dim               275 modules/cudafeatures2d/test/test_features2d.cpp                 int elem = rng(dim);
dim               136 modules/features2d/perf/perf_batchDistance.cpp     const int dim = 500;
dim               143 modules/features2d/perf/perf_batchDistance.cpp     Mat buf( queryDescCount, dim, CV_32SC1 );
dim               162 modules/features2d/perf/perf_batchDistance.cpp             int elem = rng(dim);
dim               418 modules/features2d/src/matchers.cpp     int dim = -1;
dim               426 modules/features2d/src/matchers.cpp             dim = descriptors[i-1].cols;
dim               436 modules/features2d/src/matchers.cpp         dim = descriptors[0].cols;
dim               439 modules/features2d/src/matchers.cpp     CV_Assert( dim > 0 );
dim               445 modules/features2d/src/matchers.cpp         mergedDescriptors.create( count, dim, type );
dim               450 modules/features2d/src/matchers.cpp                 CV_Assert( descriptors[i].cols == dim && descriptors[i].type() == type );
dim                62 modules/features2d/test/ocl/test_brute_force_matcher.cpp     int dim;
dim                73 modules/features2d/test/ocl/test_brute_force_matcher.cpp         dim = GET_PARAM(1);
dim                82 modules/features2d/test/ocl/test_brute_force_matcher.cpp         queryBuf.create(queryDescCount, dim, CV_32SC1);
dim                91 modules/features2d/test/ocl/test_brute_force_matcher.cpp         trainBuf.create(queryDescCount * countFactor, dim, CV_32FC1);
dim               101 modules/features2d/test/ocl/test_brute_force_matcher.cpp                 int elem = rng(dim);
dim                61 modules/features2d/test/test_matchers_algorithmic.cpp     static const int dim = 500;
dim               167 modules/features2d/test/test_matchers_algorithmic.cpp     Mat buf( queryDescCount, dim, CV_32SC1 );
dim               186 modules/features2d/test/test_matchers_algorithmic.cpp             int elem = rng(dim);
dim                53 modules/flann/include/opencv2/flann/kdtree_single_index.h     KDTreeSingleIndexParams(int leaf_max_size = 10, bool reorder = true, int dim = -1)
dim                58 modules/flann/include/opencv2/flann/kdtree_single_index.h         (*this)["dim"] = dim;
dim               389 modules/flann/include/opencv2/flann/kdtree_single_index.h     void computeMinMax(int* ind, int count, int dim, ElementType& min_elem, ElementType& max_elem)
dim               391 modules/flann/include/opencv2/flann/kdtree_single_index.h         min_elem = dataset_[ind[0]][dim];
dim               392 modules/flann/include/opencv2/flann/kdtree_single_index.h         max_elem = dataset_[ind[0]][dim];
dim               394 modules/flann/include/opencv2/flann/kdtree_single_index.h             ElementType val = dataset_[ind[i]][dim];
dim              3719 modules/imgproc/src/histogram.cpp             sizes[i] = mat->dim[i].size;
dim              1381 modules/imgproc/test/test_convhull.cpp     const int dim = max(height, width);
dim              1382 modules/imgproc/test/test_convhull.cpp     const Point center = Point(dim*2, dim*2);
dim              1390 modules/imgproc/test/test_convhull.cpp     Mat image = Mat::zeros(dim*4, dim*4, CV_8UC1);
dim               355 modules/imgproc/test/test_imgwarp_strict.cpp     void generate_buffer(double scale, dim& _dim);
dim               356 modules/imgproc/test/test_imgwarp_strict.cpp     void resize_1d(const Mat& _src, Mat& _dst, int dy, const dim& _dim);
dim               512 modules/imgproc/test/test_imgwarp_strict.cpp void CV_Resize_Test::resize_1d(const Mat& _src, Mat& _dst, int dy, const dim& _dim)
dim               574 modules/imgproc/test/test_imgwarp_strict.cpp void CV_Resize_Test::generate_buffer(double scale, dim& _dim)
dim               590 modules/imgproc/test/test_imgwarp_strict.cpp     dim dims[] = { dim(dsize.width), dim(dsize.height) };
dim               244 modules/ml/src/em.cpp         int dim = samples.cols;
dim               268 modules/ml/src/em.cpp              means->rows == nclusters && means->cols == dim &&
dim               276 modules/ml/src/em.cpp             const Size covSize(dim, dim);
dim               477 modules/ml/src/em.cpp         int dim = trainSamples.cols;
dim               533 modules/ml/src/em.cpp                 covs[clusterIndex].create(dim, dim, CV_64FC1);
dim               570 modules/ml/src/em.cpp         int dim = sample.cols;
dim               572 modules/ml/src/em.cpp         Mat L(1, nclusters, CV_64FC1), centeredSample(1, dim, CV_64F);
dim               581 modules/ml/src/em.cpp                 for( i = 0; i < dim; i++ )
dim               587 modules/ml/src/em.cpp                 for( i = 0; i < dim; i++ )
dim               595 modules/ml/src/em.cpp             for(int di = 0; di < dim; di++)
dim               621 modules/ml/src/em.cpp         res[0] = std::log(expDiffSum)  + maxLVal - 0.5 * dim * CV_LOG2PI;
dim               651 modules/ml/src/em.cpp         int dim = trainSamples.cols;
dim               658 modules/ml/src/em.cpp         means.create(nclusters, dim, CV_64FC1);
dim               693 modules/ml/src/em.cpp                 covsEigenValues[clusterIndex].create(1, dim, CV_64FC1);
dim               698 modules/ml/src/em.cpp                 covs[clusterIndex].create(dim, dim, CV_64FC1);
dim               715 modules/ml/src/em.cpp                     for(int di = 0; di < dim; di++ )
dim               724 modules/ml/src/em.cpp                 clusterCov /= dim;
dim               119 modules/ml/src/inner_functions.cpp     int dim = A.rows;
dim               120 modules/ml/src/inner_functions.cpp     S.create(dim, dim, CV_32F);
dim               124 modules/ml/src/inner_functions.cpp     for( i = 0; i < dim; i++ )
dim               139 modules/ml/src/inner_functions.cpp         for( j = i + 1; j < dim; j++ )
dim               155 modules/ml/src/inner_functions.cpp     int dim = (int)mean.total();
dim               157 modules/ml/src/inner_functions.cpp     _samples.create(nsamples, dim, CV_32F);
dim               212 modules/ml/src/kdtree.cpp         int count = last - first + 1, dim = -1;
dim               241 modules/ml/src/kdtree.cpp                 dim = j;
dim               248 modules/ml/src/kdtree.cpp         nodes[nidx].idx = dim;
dim               251 modules/ml/src/kdtree.cpp         nodes[nidx].boundary = medianPartition(ptofs, first, last, data + dim);