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 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);