| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2016 Google Inc. All rights reserved. | 
 | // http://ceres-solver.org/ | 
 | // | 
 | // 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: vitus@google.com (Michael Vitus) | 
 |  | 
 | #include <fstream> | 
 | #include <iostream> | 
 | #include <string> | 
 |  | 
 | #include "ceres/ceres.h" | 
 | #include "common/read_g2o.h" | 
 | #include "gflags/gflags.h" | 
 | #include "glog/logging.h" | 
 | #include "pose_graph_3d_error_term.h" | 
 | #include "types.h" | 
 |  | 
 | DEFINE_string(input, "", "The pose graph definition filename in g2o format."); | 
 |  | 
 | namespace ceres { | 
 | namespace examples { | 
 | namespace { | 
 |  | 
 | // Constructs the nonlinear least squares optimization problem from the pose | 
 | // graph constraints. | 
 | void BuildOptimizationProblem(const VectorOfConstraints& constraints, | 
 |                               MapOfPoses* poses, | 
 |                               ceres::Problem* problem) { | 
 |   CHECK(poses != nullptr); | 
 |   CHECK(problem != nullptr); | 
 |   if (constraints.empty()) { | 
 |     LOG(INFO) << "No constraints, no problem to optimize."; | 
 |     return; | 
 |   } | 
 |  | 
 |   ceres::LossFunction* loss_function = nullptr; | 
 |   ceres::Manifold* quaternion_manifold = new EigenQuaternionManifold; | 
 |  | 
 |   for (const auto& constraint : constraints) { | 
 |     auto pose_begin_iter = poses->find(constraint.id_begin); | 
 |     CHECK(pose_begin_iter != poses->end()) | 
 |         << "Pose with ID: " << constraint.id_begin << " not found."; | 
 |     auto pose_end_iter = poses->find(constraint.id_end); | 
 |     CHECK(pose_end_iter != poses->end()) | 
 |         << "Pose with ID: " << constraint.id_end << " not found."; | 
 |  | 
 |     const Eigen::Matrix<double, 6, 6> sqrt_information = | 
 |         constraint.information.llt().matrixL(); | 
 |     // Ceres will take ownership of the pointer. | 
 |     ceres::CostFunction* cost_function = | 
 |         PoseGraph3dErrorTerm::Create(constraint.t_be, sqrt_information); | 
 |  | 
 |     problem->AddResidualBlock(cost_function, | 
 |                               loss_function, | 
 |                               pose_begin_iter->second.p.data(), | 
 |                               pose_begin_iter->second.q.coeffs().data(), | 
 |                               pose_end_iter->second.p.data(), | 
 |                               pose_end_iter->second.q.coeffs().data()); | 
 |  | 
 |     problem->SetManifold(pose_begin_iter->second.q.coeffs().data(), | 
 |                          quaternion_manifold); | 
 |     problem->SetManifold(pose_end_iter->second.q.coeffs().data(), | 
 |                          quaternion_manifold); | 
 |   } | 
 |  | 
 |   // The pose graph optimization problem has six DOFs that are not fully | 
 |   // constrained. This is typically referred to as gauge freedom. You can apply | 
 |   // a rigid body transformation to all the nodes and the optimization problem | 
 |   // will still have the exact same cost. The Levenberg-Marquardt algorithm has | 
 |   // internal damping which mitigates this issue, but it is better to properly | 
 |   // constrain the gauge freedom. This can be done by setting one of the poses | 
 |   // as constant so the optimizer cannot change it. | 
 |   auto pose_start_iter = poses->begin(); | 
 |   CHECK(pose_start_iter != poses->end()) << "There are no poses."; | 
 |   problem->SetParameterBlockConstant(pose_start_iter->second.p.data()); | 
 |   problem->SetParameterBlockConstant(pose_start_iter->second.q.coeffs().data()); | 
 | } | 
 |  | 
 | // Returns true if the solve was successful. | 
 | bool SolveOptimizationProblem(ceres::Problem* problem) { | 
 |   CHECK(problem != nullptr); | 
 |  | 
 |   ceres::Solver::Options options; | 
 |   options.max_num_iterations = 200; | 
 |   options.linear_solver_type = ceres::SPARSE_NORMAL_CHOLESKY; | 
 |  | 
 |   ceres::Solver::Summary summary; | 
 |   ceres::Solve(options, problem, &summary); | 
 |  | 
 |   std::cout << summary.FullReport() << '\n'; | 
 |  | 
 |   return summary.IsSolutionUsable(); | 
 | } | 
 |  | 
 | // Output the poses to the file with format: id x y z q_x q_y q_z q_w. | 
 | bool OutputPoses(const std::string& filename, const MapOfPoses& poses) { | 
 |   std::fstream outfile; | 
 |   outfile.open(filename.c_str(), std::istream::out); | 
 |   if (!outfile) { | 
 |     LOG(ERROR) << "Error opening the file: " << filename; | 
 |     return false; | 
 |   } | 
 |   for (const auto& pair : poses) { | 
 |     outfile << pair.first << " " << pair.second.p.transpose() << " " | 
 |             << pair.second.q.x() << " " << pair.second.q.y() << " " | 
 |             << pair.second.q.z() << " " << pair.second.q.w() << '\n'; | 
 |   } | 
 |   return true; | 
 | } | 
 |  | 
 | }  // namespace | 
 | }  // namespace examples | 
 | }  // namespace ceres | 
 |  | 
 | int main(int argc, char** argv) { | 
 |   google::InitGoogleLogging(argv[0]); | 
 |   GFLAGS_NAMESPACE::ParseCommandLineFlags(&argc, &argv, true); | 
 |  | 
 |   CHECK(FLAGS_input != "") << "Need to specify the filename to read."; | 
 |  | 
 |   ceres::examples::MapOfPoses poses; | 
 |   ceres::examples::VectorOfConstraints constraints; | 
 |  | 
 |   CHECK(ceres::examples::ReadG2oFile(FLAGS_input, &poses, &constraints)) | 
 |       << "Error reading the file: " << FLAGS_input; | 
 |  | 
 |   std::cout << "Number of poses: " << poses.size() << '\n'; | 
 |   std::cout << "Number of constraints: " << constraints.size() << '\n'; | 
 |  | 
 |   CHECK(ceres::examples::OutputPoses("poses_original.txt", poses)) | 
 |       << "Error outputting to poses_original.txt"; | 
 |  | 
 |   ceres::Problem problem; | 
 |   ceres::examples::BuildOptimizationProblem(constraints, &poses, &problem); | 
 |  | 
 |   CHECK(ceres::examples::SolveOptimizationProblem(&problem)) | 
 |       << "The solve was not successful, exiting."; | 
 |  | 
 |   CHECK(ceres::examples::OutputPoses("poses_optimized.txt", poses)) | 
 |       << "Error outputting to poses_original.txt"; | 
 |  | 
 |   return 0; | 
 | } |