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-// Ceres Solver - A fast non-linear least squares minimizer
-// Copyright 2010, 2011, 2012, 2013 Google Inc. All rights reserved.
-// http://code.google.com/p/ceres-solver/
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are met:
-//
-// * Redistributions of source code must retain the above copyright notice,
-// this list of conditions and the following disclaimer.
-// * Redistributions in binary form must reproduce the above copyright notice,
-// this list of conditions and the following disclaimer in the documentation
-// and/or other materials provided with the distribution.
-// * Neither the name of Google Inc. nor the names of its contributors may be
-// used to endorse or promote products derived from this software without
-// specific prior written permission.
-//
-// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
-// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
-// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
-// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
-// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
-// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
-// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-// POSSIBILITY OF SUCH DAMAGE.
-//
-// Author: keir@google.com (Keir Mierle)
-
-#ifndef CERES_INTERNAL_PARAMETER_BLOCK_H_
-#define CERES_INTERNAL_PARAMETER_BLOCK_H_
-
-#include <algorithm>
-#include <cstdlib>
-#include <limits>
-#include <string>
-#include "ceres/array_utils.h"
-#include "ceres/collections_port.h"
-#include "ceres/integral_types.h"
-#include "ceres/internal/eigen.h"
-#include "ceres/internal/port.h"
-#include "ceres/internal/scoped_ptr.h"
-#include "ceres/local_parameterization.h"
-#include "ceres/stringprintf.h"
-#include "glog/logging.h"
-
-namespace ceres {
-namespace internal {
-
-class ProblemImpl;
-class ResidualBlock;
-
-// The parameter block encodes the location of the user's original value, and
-// also the "current state" of the parameter. The evaluator uses whatever is in
-// the current state of the parameter when evaluating. This is inlined since the
-// methods are performance sensitive.
-//
-// The class is not thread-safe, unless only const methods are called. The
-// parameter block may also hold a pointer to a local parameterization; the
-// parameter block does not take ownership of this pointer, so the user is
-// responsible for the proper disposal of the local parameterization.
-class ParameterBlock {
- public:
- // TODO(keir): Decide what data structure is best here. Should this be a set?
- // Probably not, because sets are memory inefficient. However, if it's a
- // vector, you can get into pathological linear performance when removing a
- // residual block from a problem where all the residual blocks depend on one
- // parameter; for example, shared focal length in a bundle adjustment
- // problem. It might be worth making a custom structure that is just an array
- // when it is small, but transitions to a hash set when it has more elements.
- //
- // For now, use a hash set.
- typedef HashSet<ResidualBlock*> ResidualBlockSet;
-
- // Create a parameter block with the user state, size, and index specified.
- // The size is the size of the parameter block and the index is the position
- // of the parameter block inside a Program (if any).
- ParameterBlock(double* user_state, int size, int index) {
- Init(user_state, size, index, NULL);
- }
-
- ParameterBlock(double* user_state,
- int size,
- int index,
- LocalParameterization* local_parameterization) {
- Init(user_state, size, index, local_parameterization);
- }
-
- // The size of the parameter block.
- int Size() const { return size_; }
-
- // Manipulate the parameter state.
- bool SetState(const double* x) {
- CHECK(x != NULL)
- << "Tried to set the state of constant parameter "
- << "with user location " << user_state_;
- CHECK(!is_constant_)
- << "Tried to set the state of constant parameter "
- << "with user location " << user_state_;
-
- state_ = x;
- return UpdateLocalParameterizationJacobian();
- }
-
- // Copy the current parameter state out to x. This is "GetState()" rather than
- // simply "state()" since it is actively copying the data into the passed
- // pointer.
- void GetState(double *x) const {
- if (x != state_) {
- memcpy(x, state_, sizeof(*state_) * size_);
- }
- }
-
- // Direct pointers to the current state.
- const double* state() const { return state_; }
- const double* user_state() const { return user_state_; }
- double* mutable_user_state() { return user_state_; }
- LocalParameterization* local_parameterization() const {
- return local_parameterization_;
- }
- LocalParameterization* mutable_local_parameterization() {
- return local_parameterization_;
- }
-
- // Set this parameter block to vary or not.
- void SetConstant() { is_constant_ = true; }
- void SetVarying() { is_constant_ = false; }
- bool IsConstant() const { return is_constant_; }
-
- // This parameter block's index in an array.
- int index() const { return index_; }
- void set_index(int index) { index_ = index; }
-
- // This parameter offset inside a larger state vector.
- int state_offset() const { return state_offset_; }
- void set_state_offset(int state_offset) { state_offset_ = state_offset; }
-
- // This parameter offset inside a larger delta vector.
- int delta_offset() const { return delta_offset_; }
- void set_delta_offset(int delta_offset) { delta_offset_ = delta_offset; }
-
- // Methods relating to the parameter block's parameterization.
-
- // The local to global jacobian. Returns NULL if there is no local
- // parameterization for this parameter block. The returned matrix is row-major
- // and has Size() rows and LocalSize() columns.
- const double* LocalParameterizationJacobian() const {
- return local_parameterization_jacobian_.get();
- }
-
- int LocalSize() const {
- return (local_parameterization_ == NULL)
- ? size_
- : local_parameterization_->LocalSize();
- }
-
- // Set the parameterization. The parameterization can be set exactly once;
- // multiple calls to set the parameterization to different values will crash.
- // It is an error to pass NULL for the parameterization. The parameter block
- // does not take ownership of the parameterization.
- void SetParameterization(LocalParameterization* new_parameterization) {
- CHECK(new_parameterization != NULL) << "NULL parameterization invalid.";
- CHECK(new_parameterization->GlobalSize() == size_)
- << "Invalid parameterization for parameter block. The parameter block "
- << "has size " << size_ << " while the parameterization has a global "
- << "size of " << new_parameterization->GlobalSize() << ". Did you "
- << "accidentally use the wrong parameter block or parameterization?";
- if (new_parameterization != local_parameterization_) {
- CHECK(local_parameterization_ == NULL)
- << "Can't re-set the local parameterization; it leads to "
- << "ambiguous ownership.";
- local_parameterization_ = new_parameterization;
- local_parameterization_jacobian_.reset(
- new double[local_parameterization_->GlobalSize() *
- local_parameterization_->LocalSize()]);
- CHECK(UpdateLocalParameterizationJacobian())
- << "Local parameterization Jacobian computation failed for x: "
- << ConstVectorRef(state_, Size()).transpose();
- } else {
- // Ignore the case that the parameterizations match.
- }
- }
-
- void SetUpperBound(int index, double upper_bound) {
- CHECK_LT(index, size_);
-
- if (upper_bounds_.get() == NULL) {
- upper_bounds_.reset(new double[size_]);
- std::fill(upper_bounds_.get(),
- upper_bounds_.get() + size_,
- std::numeric_limits<double>::max());
- }
-
- upper_bounds_[index] = upper_bound;
- };
-
- void SetLowerBound(int index, double lower_bound) {
- CHECK_LT(index, size_);
-
- if (lower_bounds_.get() == NULL) {
- lower_bounds_.reset(new double[size_]);
- std::fill(lower_bounds_.get(),
- lower_bounds_.get() + size_,
- -std::numeric_limits<double>::max());
- }
-
- lower_bounds_[index] = lower_bound;
- }
-
- // Generalization of the addition operation. This is the same as
- // LocalParameterization::Plus() followed by projection onto the
- // hyper cube implied by the bounds constraints.
- bool Plus(const double *x, const double* delta, double* x_plus_delta) {
- if (local_parameterization_ != NULL) {
- if (!local_parameterization_->Plus(x, delta, x_plus_delta)) {
- return false;
- }
- } else {
- VectorRef(x_plus_delta, size_) = ConstVectorRef(x, size_) +
- ConstVectorRef(delta, size_);
- }
-
- // Project onto the box constraints.
- if (lower_bounds_.get() != NULL) {
- for (int i = 0; i < size_; ++i) {
- x_plus_delta[i] = std::max(x_plus_delta[i], lower_bounds_[i]);
- }
- }
-
- if (upper_bounds_.get() != NULL) {
- for (int i = 0; i < size_; ++i) {
- x_plus_delta[i] = std::min(x_plus_delta[i], upper_bounds_[i]);
- }
- }
-
- return true;
- }
-
- string ToString() const {
- return StringPrintf("{ user_state=%p, state=%p, size=%d, "
- "constant=%d, index=%d, state_offset=%d, "
- "delta_offset=%d }",
- user_state_,
- state_,
- size_,
- is_constant_,
- index_,
- state_offset_,
- delta_offset_);
- }
-
- void EnableResidualBlockDependencies() {
- CHECK(residual_blocks_.get() == NULL)
- << "Ceres bug: There is already a residual block collection "
- << "for parameter block: " << ToString();
- residual_blocks_.reset(new ResidualBlockSet);
- }
-
- void AddResidualBlock(ResidualBlock* residual_block) {
- CHECK(residual_blocks_.get() != NULL)
- << "Ceres bug: The residual block collection is null for parameter "
- << "block: " << ToString();
- residual_blocks_->insert(residual_block);
- }
-
- void RemoveResidualBlock(ResidualBlock* residual_block) {
- CHECK(residual_blocks_.get() != NULL)
- << "Ceres bug: The residual block collection is null for parameter "
- << "block: " << ToString();
- CHECK(residual_blocks_->find(residual_block) != residual_blocks_->end())
- << "Ceres bug: Missing residual for parameter block: " << ToString();
- residual_blocks_->erase(residual_block);
- }
-
- // This is only intended for iterating; perhaps this should only expose
- // .begin() and .end().
- ResidualBlockSet* mutable_residual_blocks() {
- return residual_blocks_.get();
- }
-
- double LowerBoundForParameter(int index) const {
- if (lower_bounds_.get() == NULL) {
- return -std::numeric_limits<double>::max();
- } else {
- return lower_bounds_[index];
- }
- }
-
- double UpperBoundForParameter(int index) const {
- if (upper_bounds_.get() == NULL) {
- return std::numeric_limits<double>::max();
- } else {
- return upper_bounds_[index];
- }
- }
-
- private:
- void Init(double* user_state,
- int size,
- int index,
- LocalParameterization* local_parameterization) {
- user_state_ = user_state;
- size_ = size;
- index_ = index;
- is_constant_ = false;
- state_ = user_state_;
-
- local_parameterization_ = NULL;
- if (local_parameterization != NULL) {
- SetParameterization(local_parameterization);
- }
-
- state_offset_ = -1;
- delta_offset_ = -1;
- }
-
- bool UpdateLocalParameterizationJacobian() {
- if (local_parameterization_ == NULL) {
- return true;
- }
-
- // Update the local to global Jacobian. In some cases this is
- // wasted effort; if this is a bottleneck, we will find a solution
- // at that time.
-
- const int jacobian_size = Size() * LocalSize();
- InvalidateArray(jacobian_size,
- local_parameterization_jacobian_.get());
- if (!local_parameterization_->ComputeJacobian(
- state_,
- local_parameterization_jacobian_.get())) {
- LOG(WARNING) << "Local parameterization Jacobian computation failed"
- "for x: " << ConstVectorRef(state_, Size()).transpose();
- return false;
- }
-
- if (!IsArrayValid(jacobian_size, local_parameterization_jacobian_.get())) {
- LOG(WARNING) << "Local parameterization Jacobian computation returned"
- << "an invalid matrix for x: "
- << ConstVectorRef(state_, Size()).transpose()
- << "\n Jacobian matrix : "
- << ConstMatrixRef(local_parameterization_jacobian_.get(),
- Size(),
- LocalSize());
- return false;
- }
- return true;
- }
-
- double* user_state_;
- int size_;
- bool is_constant_;
- LocalParameterization* local_parameterization_;
-
- // The "state" of the parameter. These fields are only needed while the
- // solver is running. While at first glance using mutable is a bad idea, this
- // ends up simplifying the internals of Ceres enough to justify the potential
- // pitfalls of using "mutable."
- mutable const double* state_;
- mutable scoped_array<double> local_parameterization_jacobian_;
-
- // The index of the parameter. This is used by various other parts of Ceres to
- // permit switching from a ParameterBlock* to an index in another array.
- int32 index_;
-
- // The offset of this parameter block inside a larger state vector.
- int32 state_offset_;
-
- // The offset of this parameter block inside a larger delta vector.
- int32 delta_offset_;
-
- // If non-null, contains the residual blocks this parameter block is in.
- scoped_ptr<ResidualBlockSet> residual_blocks_;
-
- // Upper and lower bounds for the parameter block. SetUpperBound
- // and SetLowerBound lazily initialize the upper_bounds_ and
- // lower_bounds_ arrays. If they are never called, then memory for
- // these arrays is never allocated. Thus for problems where there
- // are no bounds, or only one sided bounds we do not pay the cost of
- // allocating memory for the inactive bounds constraints.
- //
- // Upon initialization these arrays are initialized to
- // std::numeric_limits<double>::max() and
- // -std::numeric_limits<double>::max() respectively which correspond
- // to the parameter block being unconstrained.
- scoped_array<double> upper_bounds_;
- scoped_array<double> lower_bounds_;
-
- // Necessary so ProblemImpl can clean up the parameterizations.
- friend class ProblemImpl;
-};
-
-} // namespace internal
-} // namespace ceres
-
-#endif // CERES_INTERNAL_PARAMETER_BLOCK_H_