227 lines
9.8 KiB
C++
227 lines
9.8 KiB
C++
// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2015 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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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: keir@google.com (Keir Mierle)
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//
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// This is the implementation of the public Problem API. The pointer to
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// implementation (PIMPL) idiom makes it possible for Ceres internal code to
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// refer to the private data members without needing to exposing it to the
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// world. An alternative to PIMPL is to have a factory which returns instances
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// of a virtual base class; while that approach would work, it requires clients
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// to always put a Problem object into a scoped pointer; this needlessly muddies
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// client code for little benefit. Therefore, the PIMPL comprise was chosen.
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#ifndef CERES_PUBLIC_PROBLEM_IMPL_H_
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#define CERES_PUBLIC_PROBLEM_IMPL_H_
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#include <map>
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#include <vector>
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#include "ceres/internal/macros.h"
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#include "ceres/internal/port.h"
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#include "ceres/internal/scoped_ptr.h"
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#include "ceres/collections_port.h"
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#include "ceres/problem.h"
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#include "ceres/types.h"
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namespace ceres {
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class CostFunction;
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class LossFunction;
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class LocalParameterization;
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struct CRSMatrix;
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namespace internal {
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class Program;
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class ResidualBlock;
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class ProblemImpl {
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public:
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typedef std::map<double*, ParameterBlock*> ParameterMap;
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typedef HashSet<ResidualBlock*> ResidualBlockSet;
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ProblemImpl();
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explicit ProblemImpl(const Problem::Options& options);
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~ProblemImpl();
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// See the public problem.h file for description of these methods.
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ResidualBlockId AddResidualBlock(
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CostFunction* cost_function,
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LossFunction* loss_function,
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const std::vector<double*>& parameter_blocks);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0, double* x1);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0, double* x1, double* x2);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0, double* x1, double* x2,
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double* x3);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0, double* x1, double* x2,
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double* x3, double* x4);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0, double* x1, double* x2,
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double* x3, double* x4, double* x5);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0, double* x1, double* x2,
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double* x3, double* x4, double* x5,
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double* x6);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0, double* x1, double* x2,
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double* x3, double* x4, double* x5,
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double* x6, double* x7);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0, double* x1, double* x2,
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double* x3, double* x4, double* x5,
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double* x6, double* x7, double* x8);
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ResidualBlockId AddResidualBlock(CostFunction* cost_function,
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LossFunction* loss_function,
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double* x0, double* x1, double* x2,
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double* x3, double* x4, double* x5,
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double* x6, double* x7, double* x8,
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double* x9);
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void AddParameterBlock(double* values, int size);
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void AddParameterBlock(double* values,
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int size,
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LocalParameterization* local_parameterization);
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void RemoveResidualBlock(ResidualBlock* residual_block);
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void RemoveParameterBlock(double* values);
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void SetParameterBlockConstant(double* values);
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void SetParameterBlockVariable(double* values);
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void SetParameterization(double* values,
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LocalParameterization* local_parameterization);
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const LocalParameterization* GetParameterization(double* values) const;
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void SetParameterLowerBound(double* values, int index, double lower_bound);
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void SetParameterUpperBound(double* values, int index, double upper_bound);
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bool Evaluate(const Problem::EvaluateOptions& options,
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double* cost,
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std::vector<double>* residuals,
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std::vector<double>* gradient,
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CRSMatrix* jacobian);
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int NumParameterBlocks() const;
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int NumParameters() const;
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int NumResidualBlocks() const;
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int NumResiduals() const;
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int ParameterBlockSize(const double* parameter_block) const;
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int ParameterBlockLocalSize(const double* parameter_block) const;
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bool HasParameterBlock(const double* parameter_block) const;
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void GetParameterBlocks(std::vector<double*>* parameter_blocks) const;
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void GetResidualBlocks(std::vector<ResidualBlockId>* residual_blocks) const;
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void GetParameterBlocksForResidualBlock(
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const ResidualBlockId residual_block,
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std::vector<double*>* parameter_blocks) const;
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const CostFunction* GetCostFunctionForResidualBlock(
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const ResidualBlockId residual_block) const;
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const LossFunction* GetLossFunctionForResidualBlock(
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const ResidualBlockId residual_block) const;
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void GetResidualBlocksForParameterBlock(
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const double* values,
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std::vector<ResidualBlockId>* residual_blocks) const;
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const Program& program() const { return *program_; }
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Program* mutable_program() { return program_.get(); }
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const ParameterMap& parameter_map() const { return parameter_block_map_; }
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const ResidualBlockSet& residual_block_set() const {
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CHECK(options_.enable_fast_removal)
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<< "Fast removal not enabled, residual_block_set is not maintained.";
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return residual_block_set_;
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}
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private:
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ParameterBlock* InternalAddParameterBlock(double* values, int size);
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void InternalRemoveResidualBlock(ResidualBlock* residual_block);
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bool InternalEvaluate(Program* program,
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double* cost,
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std::vector<double>* residuals,
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std::vector<double>* gradient,
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CRSMatrix* jacobian);
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// Delete the arguments in question. These differ from the Remove* functions
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// in that they do not clean up references to the block to delete; they
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// merely delete them.
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template<typename Block>
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void DeleteBlockInVector(std::vector<Block*>* mutable_blocks,
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Block* block_to_remove);
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void DeleteBlock(ResidualBlock* residual_block);
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void DeleteBlock(ParameterBlock* parameter_block);
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const Problem::Options options_;
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// The mapping from user pointers to parameter blocks.
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std::map<double*, ParameterBlock*> parameter_block_map_;
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// Iff enable_fast_removal is enabled, contains the current residual blocks.
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ResidualBlockSet residual_block_set_;
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// The actual parameter and residual blocks.
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internal::scoped_ptr<internal::Program> program_;
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// When removing residual and parameter blocks, cost/loss functions and
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// parameterizations have ambiguous ownership. Instead of scanning the entire
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// problem to see if the cost/loss/parameterization is shared with other
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// residual or parameter blocks, buffer them until destruction.
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//
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// TODO(keir): See if it makes sense to use sets instead.
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std::vector<CostFunction*> cost_functions_to_delete_;
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std::vector<LossFunction*> loss_functions_to_delete_;
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std::vector<LocalParameterization*> local_parameterizations_to_delete_;
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CERES_DISALLOW_COPY_AND_ASSIGN(ProblemImpl);
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};
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} // namespace internal
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} // namespace ceres
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#endif // CERES_PUBLIC_PROBLEM_IMPL_H_
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