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// SPDX-FileCopyrightText: Copyright 2024 Kenji Koide | ||
// SPDX-License-Identifier: MIT | ||
#pragma once | ||
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#include <random> | ||
#include <vector> | ||
#include <gtsam/linear/VectorValues.h> | ||
#include <gtsam/nonlinear/NonlinearFactor.h> | ||
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namespace gtsam_points { | ||
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/** | ||
* @brief Utility function for testing Jacobian of a factor. | ||
* @note This function cannot properly evaluate Jacobian of factors that measures errors in a manifold (e.g., BetweenFactor<Pose3>). | ||
* | ||
* @example | ||
auto generate_factor(std::mt19937& mt) { | ||
std::uniform_real_distribution<> udist(-1.0, 1.0); | ||
gtsam::Vector3 rel_pose = Eigen::Vector3d(udist(mt), udist(mt), udist(mt)); | ||
return gtsam::make_shared<gtsam::BetweenFactor<gtsam::Vector3>>(0, 1, rel_pose, gtsam::noiseModel::Isotropic::Sigma(6, 1.0)); | ||
} | ||
gtsam::Values generate_values(std::mt19937& mt) { | ||
std::uniform_real_distribution<> udist(-1.0, 1.0); | ||
gtsam::Values values; | ||
values.insert(0, Eigen::Vector3d(udist(mt), udist(mt), udist(mt))); | ||
values.insert(1, Eigen::Vector3d(udist(mt), udist(mt), udist(mt))); | ||
return values; | ||
} | ||
int main(int argc, char** argv) { | ||
std::mt19937 mt; | ||
for (int i = 0; i < 5; i++) { | ||
gtsam_points::test_factor_jacobian(mt, generate_factor, generate_values); | ||
} | ||
return 0; | ||
} | ||
*/ | ||
template <typename GenerateFactor, typename GenerateValues> | ||
bool test_factor_jacobian(std::mt19937& mt, const GenerateFactor& generate_factor, const GenerateValues& generate_values) { | ||
auto factor = generate_factor(mt); | ||
gtsam::Values values = generate_values(mt); | ||
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std::vector<gtsam::Matrix> Hs_a(factor->keys().size()); | ||
std::vector<gtsam::Matrix> Hs_d(factor->keys().size()); | ||
gtsam::Vector x0 = factor->unwhitenedError(values, Hs_a); | ||
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const double eps = 1e-6; | ||
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for (int i = 0; i < factor->keys().size(); i++) { | ||
const auto key = factor->keys()[i]; | ||
gtsam::VectorValues delta = values.zeroVectors(); | ||
const int D = delta[key].size(); | ||
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gtsam::Matrix Hd(x0.size(), D); | ||
for (int j = 0; j < D; j++) { | ||
delta[key].setZero(); | ||
delta[key][j] = eps; | ||
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gtsam::Vector xi = factor->unwhitenedError(values.retract(delta)); | ||
Hd.col(j) = (xi - x0) / eps; | ||
} | ||
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Hs_d[i] = Hd; | ||
} | ||
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bool ok = true; | ||
for (int i = 0; i < factor->keys().size(); i++) { | ||
ok &= ((Hs_a[i] - Hs_d[i]).array().abs() < 1e-3).all(); | ||
} | ||
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if (ok) { | ||
std::cout << "OK (x0=" << x0.transpose() << ")" << std::endl; | ||
} else { | ||
std::cout << "Failed (x0=" << x0.transpose() << ")" << std::endl; | ||
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for (int i = 0; i < factor->keys().size(); i++) { | ||
std::cout << "*** key " << i << " ***" << std::endl; | ||
std::cerr << "--- Ha ---" << std::endl << Hs_a[i] << std::endl; | ||
std::cerr << "--- Hd ---" << std::endl << Hs_d[i] << std::endl; | ||
std::cerr << "--- err ---" << std::endl << Hs_a[i] - Hs_d[i] << std::endl; | ||
} | ||
} | ||
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return ok; | ||
} | ||
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} // namespace gtsam_points |