/external/opencv/cv/src/ |
cvcalibration.cpp | 295 CV_ASSERT( A->cols == B->rows ); 298 L = A->cols; 299 N = B->cols; 305 dABdA->rows == A->rows*B->cols && dABdA->cols == A->rows*A->cols ); 311 dABdB->rows == A->rows*B->cols && dABdB->cols == B->rows*B->cols ); 401 CV_ASSERT( _rvec1->rows == 3 && _rvec1->cols == 1 && CV_ARE_SIZES_EQ(_rvec1, _rvec2) ) [all...] |
/external/ceres-solver/internal/ceres/ |
schur_eliminator_impl.h | 88 const int num_col_blocks = bs->cols.size(); 102 lhs_num_rows += bs->cols[i].size; 122 const int e_block_size = bs->cols[chunk_block_id].size; 138 buffer_size += e_block_size * bs->cols[cell.block_id].size; 184 const int num_col_blocks = bs->cols.size(); 196 const int block_size = bs->cols[i].size; 198 diag(D + bs->cols[i].position, block_size); 232 const int e_block_size = bs->cols[e_block_id].size; 241 diag(D + bs->cols[e_block_id].position, e_block_size); 314 const int e_block_size = bs->cols[e_block_id].size [all...] |
/external/chromium_org/third_party/WebKit/Source/core/rendering/ |
RenderFrameSet.cpp | 137 size_t cols = m_cols.m_sizes.size(); local 143 for (size_t c = 0; c < cols; c++) { 415 size_t cols = m_cols.m_sizes.size(); local 417 for (size_t c = 0; c < cols; ++c) { 436 int cols = frameSet()->totalCols(); local 437 if (rows && cols) { 440 result.setPreventResize(RightFrameEdge, m_cols.m_preventResize[cols]); 441 result.setAllowBorder(RightFrameEdge, m_cols.m_allowBorder[cols]); 460 unsigned cols = frameSet()->totalCols(); local 463 if (m_rows.m_sizes.size() != rows || m_cols.m_sizes.size() != cols) { 500 int cols = frameSet()->totalCols(); local [all...] |
/external/eigen/Eigen/src/Eigenvalues/ |
ComplexSchur.h | 113 : m_matT(matrix.rows(),matrix.cols()), 114 m_matU(matrix.rows(),matrix.cols()), 319 eigen_assert(matrix.cols() == matrix.rows()); 321 if(matrix.cols() == 1) 394 Index iu = m_matT.cols() - 1; 431 m_matT.rightCols(m_matT.cols()-il).applyOnTheLeft(il, il+1, rot.adjoint()); 439 m_matT.rightCols(m_matT.cols()-i).applyOnTheLeft(i, i+1, rot.adjoint());
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Tridiagonalization.h | 131 m_hCoeffs(matrix.cols() > 1 ? matrix.cols()-1 : 1), 353 eigen_assert(n==matA.cols()); 429 eigen_assert(mat.cols()==mat.rows() && diag.size()==mat.rows() && subdiag.size()==mat.rows()-1); 445 CoeffVectorType hCoeffs(mat.cols()-1); 547 Index cols() const { return m_matrix.cols(); } function in struct:Eigen::internal::TridiagonalizationMatrixTReturnType
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/external/eigen/test/ |
nomalloc.cpp | 41 Index cols = m.cols(); local 43 MatrixType m1 = MatrixType::Random(rows, cols), 44 m2 = MatrixType::Random(rows, cols), 45 m3(rows, cols); 50 c = internal::random<Index>(0, cols-1); 54 VERIFY_IS_APPROX(m1.cwiseProduct(m1.block(0,0,rows,cols)), (m1.array()*m1.array()).matrix());
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product_trmv.cpp | 22 Index cols = m.cols(); local 24 MatrixType m1 = MatrixType::Random(rows, cols), 25 m3(rows, cols); 30 m1 = MatrixType::Random(rows, cols);
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product_trsolve.cpp | 30 template<typename Scalar,int Size, int Cols> void trsolve(int size=Size,int cols=Cols) 38 rowmajor = Cols==1 ? ColMajor : RowMajor }; 39 Matrix<Scalar,Size,Cols,colmajor> cmRhs(size,cols); 40 Matrix<Scalar,Size,Cols,rowmajor> rmRhs(size,cols); 41 Matrix<Scalar,Dynamic,Dynamic,colmajor> ref(size,cols); 71 int c = internal::random<int>(0,cols-1) [all...] |
qtvector.cpp | 24 Index cols = m.cols(); local 25 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 26 QVector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
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stddeque.cpp | 21 Index cols = m.cols(); local 22 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 23 std::deque<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
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stdlist.cpp | 21 Index cols = m.cols(); local 22 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 23 std::list<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
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stdvector.cpp | 18 typename MatrixType::Index cols = m.cols(); local 19 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 20 std::vector<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
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stdvector_overload.cpp | 32 typename MatrixType::Index cols = m.cols(); local 33 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 34 std::vector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
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/external/opencv/cvaux/src/ |
cvlevmartrif.cpp | 90 if( Jacobian->rows == numPoints*6 || Jacobian->cols != 36+numPoints*4 ) 205 if( resFunc->rows == 2*numPoints*3 || resFunc->cols != 1 ) 294 numPoints = resultPoints4D->cols; 340 if( projMatrs[i]->rows != 3 || projMatrs[i]->cols != 4 ) 345 if( projPoints[i]->rows != 2 || projPoints[i]->cols != numPoints ) 350 if( resultProjMatrs[i]->rows != 3 || resultProjMatrs[i]->cols != 4 ) 454 numPoints = points->cols;
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/external/chromium_org/third_party/mesa/src/src/mapi/mapi/ |
mapi_abi.py | 47 def __init__(self, cols, attrs): 48 self._parse(cols) 85 def _parse(self, cols): 86 ret = cols.pop(0) 90 name = cols.pop(0) 93 if not cols: 94 raise Exception(cols) 95 elif len(cols) == 1 and cols[0] == 'void': 98 for val in cols [all...] |
/external/eigen/unsupported/Eigen/src/SVD/ |
BDCSVD.h | 44 using Base::cols; 90 BDCSVD(Index rows, Index cols, unsigned int computationOptions = 0) 94 allocate(rows, cols, computationOptions); 198 void allocate(Index rows, Index cols, unsigned int computationOptions); 218 void BDCSVD<MatrixType>::allocate(Index rows, Index cols, unsigned int computationOptions) 220 isTranspose = (cols > rows); 221 if (SVDBase<MatrixType>::allocate(rows, cols, computationOptions)) return; 256 allocate(matrix.rows(), matrix.cols(), computationOptions); 258 m_computed = Matrix<int, Dynamic, Dynamic>::Zero(rows(), cols()); 263 if (this->m_computeFullV) this->m_matrixV = Matrix<int, Dynamic, Dynamic>::Zero(cols(), cols()); [all...] |
/external/mesa3d/src/mapi/mapi/ |
mapi_abi.py | 47 def __init__(self, cols, attrs): 48 self._parse(cols) 85 def _parse(self, cols): 86 ret = cols.pop(0) 90 name = cols.pop(0) 93 if not cols: 94 raise Exception(cols) 95 elif len(cols) == 1 and cols[0] == 'void': 98 for val in cols [all...] |
/external/opencv/ml/src/ |
mlnbayes.cpp | 63 for( int cls = 0; cls < cls_labels->cols; cls++ ) 145 nclasses = cls_labels->cols; 183 if( cls_labels->cols != __cls_labels->cols || 189 nclasses = cls_labels->cols; 297 nclasses = cls_labels->cols; 298 _var_count = avg[0]->cols; 300 if( !CV_IS_MAT(samples) || CV_MAT_TYPE(samples->type) != CV_32FC1 || samples->cols != var_all ) 312 results->cols != 1 && results->rows != 1 || 313 results->cols + results->rows - 1 != samples->rows [all...] |
/external/chromium_org/ui/app_list/views/ |
apps_container_view.cc | 29 int cols; local 32 cols = kExperimentalPreferredCols; 35 cols = kCenteredPreferredCols; 38 cols = kPreferredCols; 41 apps_grid_view_->SetLayout(cols, rows);
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/external/eigen/Eigen/src/Core/ |
CwiseBinaryOp.h | 131 eigen_assert(aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols()); 141 EIGEN_STRONG_INLINE Index cols() const { function in class:Eigen::CwiseBinaryOp 144 return m_rhs.cols(); 146 return m_lhs.cols();
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/external/eigen/test/eigen2/ |
eigen2_newstdvector.cpp | 19 int cols = m.cols(); local 20 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 21 std::vector<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
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eigen2_qtvector.cpp | 24 int cols = m.cols(); local 25 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 26 QVector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
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eigen2_stdvector.cpp | 18 int cols = m.cols(); local 19 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 20 std::vector<MatrixType, aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
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/external/eigen/unsupported/test/ |
jacobisvd.cpp | 40 if (QRPreconditioner == NoQRPreconditioner && m.rows() != m.cols()) 55 MatrixType m = pickrandom ? MatrixType::Random(a.rows(), a.cols()) : a; 72 Index cols = m.cols(); local 79 MatrixType a = MatrixType::Zero(rows, cols);
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/external/opencv/cxcore/src/ |
cximage.cpp | 88 CV_CALL( img = cvCreateImageHeader( cvSize(m->cols,m->rows), 215 CvMatrix::CvMatrix( int rows, int cols, int type, CvMemStorage* storage, bool alloc_data ) 220 cvInitMatHeader( matrix, rows, cols, type, alloc_data ? 221 cvMemStorageAlloc( storage, rows*cols*CV_ELEM_SIZE(type) ) : 0 ); 242 CV_CALL( m = cvCreateMat( src->rows, src->cols, src->type )); 275 CV_CALL( temp_mat = cvCreateMat( m->rows, m->cols,
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