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https://github.com/ceres-solver/ceres-solver.git
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82f4b88c34
1. Make the mechanism for writing problems to disk, generic and controllable using an enum DumpType visible in the API. 2. Instead of single file containing protocol buffers, now matrices can be written in a matlab/octave friendly format. This is now the default. 3. The support for writing problems to disk is moved into linear_least_squares_problem.cc/h 4. SparseMatrix now has a ToTextFile virtual method which is implemented by each of its subclasses to write a (i,j,s) triplets. 5. Minor changes to simple_bundle_adjuster to enable logging at startup.
145 lines
5.8 KiB
C++
145 lines
5.8 KiB
C++
// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2010, 2011, 2012 Google Inc. All rights reserved.
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// http://code.google.com/p/ceres-solver/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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//
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// Implementation of the SparseMatrix interface for block sparse
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// matrices.
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#ifndef CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_
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#define CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_
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#include "ceres/block_structure.h"
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#include "ceres/sparse_matrix.h"
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#include "ceres/internal/eigen.h"
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#include "ceres/internal/macros.h"
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#include "ceres/internal/scoped_ptr.h"
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namespace ceres {
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namespace internal {
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class SparseMatrixProto;
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class TripletSparseMatrix;
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// A further extension of the SparseMatrix interface to support block-oriented
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// matrices. The key addition is the RowBlockValues() accessor, which enables
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// the lazy block sparse matrix implementation.
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class BlockSparseMatrixBase : public SparseMatrix {
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public:
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BlockSparseMatrixBase() {}
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virtual ~BlockSparseMatrixBase() {}
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// Convert this matrix into a triplet sparse matrix.
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virtual void ToTripletSparseMatrix(TripletSparseMatrix* matrix) const = 0;
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// Returns a pointer to the block structure. Does not transfer
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// ownership.
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virtual const CompressedRowBlockStructure* block_structure() const = 0;
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// Returns a pointer to a row of the matrix. The returned array is only valid
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// until the next call to RowBlockValues. The caller does not own the result.
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//
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// The returned array is laid out such that cells on the specified row are
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// contiguous in the returned array, though neighbouring cells in row order
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// may not be contiguous in the row values. The cell values for cell
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// (row_block, cell_block) are found at offset
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//
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// block_structure()->rows[row_block].cells[cell_block].position
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//
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virtual const double* RowBlockValues(int row_block_index) const = 0;
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private:
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DISALLOW_COPY_AND_ASSIGN(BlockSparseMatrixBase);
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};
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// This class implements the SparseMatrix interface for storing and
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// manipulating block sparse matrices. The block structure is stored
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// in the CompressedRowBlockStructure object and one is needed to
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// initialize the matrix. For details on how the blocks structure of
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// the matrix is stored please see the documentation
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//
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// internal/ceres/block_structure.h
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//
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class BlockSparseMatrix : public BlockSparseMatrixBase {
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public:
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// Construct a block sparse matrix with a fully initialized
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// CompressedRowBlockStructure objected. The matrix takes over
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// ownership of this object and destroys it upon destruction.
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//
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// TODO(sameeragarwal): Add a function which will validate legal
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// CompressedRowBlockStructure objects.
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explicit BlockSparseMatrix(CompressedRowBlockStructure* block_structure);
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// Construct a block sparse matrix from a protocol buffer.
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#ifndef CERES_DONT_HAVE_PROTOCOL_BUFFERS
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explicit BlockSparseMatrix(const SparseMatrixProto& proto);
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#endif
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BlockSparseMatrix();
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virtual ~BlockSparseMatrix();
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// Implementation of SparseMatrix interface.
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virtual void SetZero();
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virtual void RightMultiply(const double* x, double* y) const;
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virtual void LeftMultiply(const double* x, double* y) const;
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virtual void SquaredColumnNorm(double* x) const;
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virtual void ScaleColumns(const double* scale);
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virtual void ToDenseMatrix(Matrix* dense_matrix) const;
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#ifndef CERES_DONT_HAVE_PROTOCOL_BUFFERS
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virtual void ToProto(SparseMatrixProto* proto) const;
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#endif
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virtual void ToTextFile(FILE* file) const;
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virtual int num_rows() const { return num_rows_; }
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virtual int num_cols() const { return num_cols_; }
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virtual int num_nonzeros() const { return num_nonzeros_; }
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virtual const double* values() const { return values_.get(); }
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virtual double* mutable_values() { return values_.get(); }
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// Implementation of BlockSparseMatrixBase interface.
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virtual void ToTripletSparseMatrix(TripletSparseMatrix* matrix) const;
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virtual const CompressedRowBlockStructure* block_structure() const;
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virtual const double* RowBlockValues(int row_block_index) const {
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return values_.get();
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}
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private:
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int num_rows_;
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int num_cols_;
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int max_num_nonzeros_;
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int num_nonzeros_;
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scoped_array<double> values_;
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scoped_ptr<CompressedRowBlockStructure> block_structure_;
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DISALLOW_COPY_AND_ASSIGN(BlockSparseMatrix);
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};
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} // namespace internal
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} // namespace ceres
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#endif // CERES_INTERNAL_BLOCK_SPARSE_MATRIX_H_
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