|  | 
 | // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2015 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: sameeragarwal@google.com (Sameer Agarwal) | 
 |  | 
 | #ifndef CERES_INTERNAL_FAKE_BUNDLE_ADJUSTMENT_JACOBIAN | 
 | #define CERES_INTERNAL_FAKE_BUNDLE_ADJUSTMENT_JACOBIAN | 
 |  | 
 | #include <memory> | 
 | #include <random> | 
 |  | 
 | #include "ceres/block_sparse_matrix.h" | 
 | #include "ceres/partitioned_matrix_view.h" | 
 |  | 
 | namespace ceres::internal { | 
 | std::unique_ptr<BlockSparseMatrix> CreateFakeBundleAdjustmentJacobian( | 
 |     int num_cameras, | 
 |     int num_points, | 
 |     int camera_size, | 
 |     int point_size, | 
 |     double visibility, | 
 |     std::mt19937& prng); | 
 |  | 
 | template <int kEBlockSize = 3, int kFBlockSize = 6> | 
 | std::pair<std::unique_ptr<PartitionedMatrixView<2, kEBlockSize, kFBlockSize>>, | 
 |           std::unique_ptr<BlockSparseMatrix>> | 
 | CreateFakeBundleAdjustmentPartitionedJacobian(int num_cameras, | 
 |                                               int num_points, | 
 |                                               double visibility, | 
 |                                               std::mt19937& rng) { | 
 |   using PartitionedView = PartitionedMatrixView<2, kEBlockSize, kFBlockSize>; | 
 |   auto block_sparse_matrix = CreateFakeBundleAdjustmentJacobian( | 
 |       num_cameras, num_points, kFBlockSize, kEBlockSize, visibility, rng); | 
 |   auto partitioned_view = | 
 |       std::make_unique<PartitionedView>(*block_sparse_matrix, num_points); | 
 |   return std::make_pair(std::move(partitioned_view), | 
 |                         std::move(block_sparse_matrix)); | 
 | } | 
 |  | 
 | std::pair< | 
 |     std::unique_ptr<PartitionedMatrixView<2, Eigen::Dynamic, Eigen::Dynamic>>, | 
 |     std::unique_ptr<BlockSparseMatrix>> | 
 | CreateFakeBundleAdjustmentPartitionedJacobian(int num_cameras, | 
 |                                               int num_points, | 
 |                                               int camera_size, | 
 |                                               int landmark_size, | 
 |                                               double visibility, | 
 |                                               std::mt19937& rng); | 
 |  | 
 | }  // namespace ceres::internal | 
 |  | 
 | #endif  // CERES_INTERNAL_FAKE_BUNDLE_ADJUSTMENT_JACOBIAN |