41FastList<Key> createKeyList(
const Vector& I) {
43 for (
int i = 0; i < I.size(); i++)
49FastList<Key> createKeyList(std::string s,
const Vector& I) {
52 for (
int i = 0; i < I.size(); i++)
53 set.push_back(Symbol(c, I[i]));
58KeyVector createKeyVector(
const Vector& I) {
60 for (
int i = 0; i < I.size(); i++)
66KeyVector createKeyVector(std::string s,
const Vector& I) {
69 for (
int i = 0; i < I.size(); i++)
70 set.push_back(Symbol(c, I[i]));
75KeySet createKeySet(
const Vector& I) {
77 for (
int i = 0; i < I.size(); i++)
83KeySet createKeySet(std::string s,
const Vector& I) {
86 for (
int i = 0; i < I.size(); i++)
87 set.insert(
symbol(c, I[i]));
95 const auto points2 = values.
extract<gtsam::Vector>();
97 Matrix result(points.size() + points2.size(), 2);
100 for (
const auto& key_value : points) {
101 result.row(j++) = key_value.second;
103 for (
const auto& key_value : points2) {
104 if (key_value.second.rows() == 2) {
105 result.row(j++) = key_value.second;
115 const auto points2 = values.
extract<gtsam::Vector>();
117 Matrix result(points.size() + points2.size(), 3);
120 for (
const auto& key_value : points) {
121 result.row(j++) = key_value.second;
123 for (
const auto& key_value : points2) {
124 if (key_value.second.rows() == 3) {
125 result.row(j++) = key_value.second;
135 result.
insert(key_value.first, key_value.second);
142 Matrix result(poses.size(), 3);
144 for(
const auto& key_value: poses)
145 result.row(j++) << key_value.second.x(), key_value.second.y(), key_value.second.theta();
153 result.
insert(key_value.first, key_value.second);
160 Matrix result(poses.size(), 12);
162 for(
const auto& key_value: poses) {
163 result.row(j).segment(0, 3) << key_value.second.rotation().matrix().row(0);
164 result.row(j).segment(3, 3) << key_value.second.rotation().matrix().row(1);
165 result.row(j).segment(6, 3) << key_value.second.rotation().matrix().row(2);
166 result.row(j).tail(3) = key_value.second.translation();
182 if (vectors.size() == 0) {
185 auto dim = vectors.begin()->second.size();
186 Matrix result(vectors.size(), dim);
187 Eigen::Index rowi = 0;
188 for (
const auto& kv : vectors) {
189 if (kv.second.size() != dim) {
190 throw std::runtime_error(
191 "Tried to extract different-sized vectors into a single matrix");
193 result.row(rowi) = kv.second;
216 for (
const auto& [key, value] : values.
extract<gtsam::Vector>()) {
217 if (value.rows() == 2) {
236 int32_t seed = 42u) {
239 for (
const auto& [key, value] : values.
extract<
Pose2>()) {
261 for (
const auto& [key, value] : values.
extract<gtsam::Vector>()) {
262 if (value.rows() == 3) {
282 int32_t seed = 42u) {
284 Vector6{sigmaR, sigmaR, sigmaR, sigmaT, sigmaT, sigmaT});
286 for (
const auto& [key, value] : values.
extract<
Pose3>()) {
303 throw std::invalid_argument(
"insertBackProjections: Z must be 2*J");
304 if (Z.cols() != J.size())
305 throw std::invalid_argument(
306 "insertBackProjections: J and Z must have same number of entries");
307 for (
int k = 0; k < Z.cols(); k++) {
308 Point2 p(Z(0, k), Z(1, k));
327 const Cal3_S2::shared_ptr K,
const Pose3& body_P_sensor =
Pose3()) {
329 throw std::invalid_argument(
"addMeasurements: Z must be 2*K");
330 if (Z.cols() != J.size())
331 throw std::invalid_argument(
332 "addMeasurements: J and Z must have same number of entries");
333 for (
int k = 0; k < Z.cols(); k++) {
336 Point2(Z(0, k), Z(1, k)), model, i,
Key(J(k)), K, body_P_sensor));
345 for(
const NonlinearFactor::shared_ptr& f: graph)
351 for(
const NonlinearFactor::shared_ptr& f: graph) {
352 std::shared_ptr<const GenericProjectionFactor<Pose3, Point3> > p =
353 std::dynamic_pointer_cast<const GenericProjectionFactor<Pose3, Point3> >(
356 errors.col(k++) = p->unwhitenedError(values);
377 world.
insert(key, base.compose(pose));
378 }
catch ([[maybe_unused]]
const std::exception& e1) {
383 }
catch ([[maybe_unused]]
const std::exception& e2) {
386 std::cerr <<
"Values[key] is neither Pose2 nor Point2, so skip" << std::endl;
The most common 5DOF 3D->2D calibration.
Base class for all pinhole cameras.
3D Pose manifold SO(3) x R^3 and group SE(3)
sampling from a NoiseModel
A non-templated config holding any types of Manifold-group elements.
Factor Graph consisting of non-linear factors.
Non-linear factor base classes.
Reprojection of a LANDMARK to a 2D point.
Global functions in a separate testing namespace.
Definition chartTesting.h:28
FastVector< Key > KeyVector
Define collection type once and for all - also used in wrappers.
Definition Key.h:91
Key symbol(unsigned char c, std::uint64_t j)
Create a symbol key from a character and index, i.e.
Definition Symbol.h:139
Vector3 Point3
As of GTSAM 4, in order to make GTSAM more lean, it is now possible to just typedef Point3 to Vector3...
Definition Point3.h:38
Vector2 Point2
As of GTSAM 4, in order to make GTSAM more lean, it is now possible to just typedef Point2 to Vector2...
Definition Point2.h:32
noiseModel::Base::shared_ptr SharedNoiseModel
Aliases.
Definition NoiseModel.h:846
Eigen::Ref< const Matrix, 0, Eigen::Stride< Eigen::Dynamic, Eigen::Dynamic > > ConstMatrixView
Dynamic-stride const Matrix view for accepting NumPy arrays without copies.
Definition Matrix.h:42
std::uint64_t Key
Integer nonlinear key type.
Definition types.h:43
A pinhole camera class that has a Pose3 and a Calibration.
Definition PinholeCamera.h:34
Point3 backproject(const Point2 &p, double depth, OptionalJacobian< 3, 6 > Dresult_dpose={}, OptionalJacobian< 3, 2 > Dresult_dp={}, OptionalJacobian< 3, 1 > Dresult_ddepth={}, OptionalJacobian< 3, DimK > Dresult_dcal={}) const
backproject a 2-dimensional point to a 3-dimensional point at given depth
Definition PinholePose.h:133
A 2D pose (Point2,Rot2).
Definition Pose2.h:39
Point2 transformFrom(const Point2 &point, OptionalJacobian< 2, 3 > Dpose={}, OptionalJacobian< 2, 2 > Dpoint={}) const
Return point coordinates in global frame.
Definition Pose2.cpp:257
A 3D pose (R,t) : (Rot3,Point3).
Definition Pose3.h:42
IsDerived< DERIVEDFACTOR > push_back(std::shared_ptr< DERIVEDFACTOR > factor)
Add a factor directly using a shared_ptr.
Definition FactorGraph.h:147
static std::function< bool(Key)> ChrTest(unsigned char c)
Return a filter function that returns true when evaluated on a Key whose character (when converted to...
Definition Symbol.cpp:66
static shared_ptr Sigmas(const Vector &sigmas, bool smart=true)
A diagonal noise model created by specifying a Vector of sigmas, i.e.
Definition NoiseModel.cpp:299
static shared_ptr Sigma(size_t dim, double sigma, bool smart=true)
An isotropic noise model created by specifying a standard deviation sigma.
Definition NoiseModel.cpp:706
Sampling structure that keeps internal random number generators for diagonal distributions specified ...
Definition Sampler.h:32
T perturb(const T &value) const
Perturb a value by sampling in its tangent space and applying retract.
Definition Sampler.h:113
Definition NonlinearFactorGraph.h:57
A non-templated config holding any types of Manifold-group elements.
Definition Values.h:65
void update(Key j, const Value &val)
single element change of existing element
Definition Values.cpp:186
const ValueType at(Key j) const
Retrieve a variable by key j.
Definition Values-inl.h:260
void insert(Key j, const Value &val)
Add a variable with the given j, throws KeyAlreadyExists<J> if j is already present.
Definition Values.cpp:170
KeyVector keys() const
Returns a vector of keys in the config.
Definition Values.cpp:235
Values extract(const KeyVector &keys) const
Returns a new Values holding copies of the values at the given keys, whatever their types.
Definition Values.cpp:252
Non-linear factor for a constraint derived from a 2D measurement.
Definition ProjectionFactor.h:43
void perturbPose3(Values &values, double sigmaT, double sigmaR, int32_t seed=42u)
Perturbs all 3D pose values (Pose3) in a Values container using diagonal Gaussian noise.
Definition utilities.h:281
Matrix extractPoint2(const Values &values)
Extract all Point2 values into a single matrix [x y].
Definition utilities.h:92
Values localToWorld(const Values &local, const Pose2 &base, const KeyVector user_keys=KeyVector())
Convert from local to world coordinates.
Definition utilities.h:362
Matrix extractVectors(const Values &values, char c)
Extract all Vector values with a given symbol character into an mxn matrix, where m is the number of ...
Definition utilities.h:180
Matrix extractPoint3(const Values &values)
Extract all Point3 values into a single matrix [x y z].
Definition utilities.h:112
void insertBackprojections(Values &values, const PinholeCamera< Cal3_S2 > &camera, const Vector &J, ConstMatrixView Z, double depth)
Insert a number of initial point values by backprojecting.
Definition utilities.h:300
Matrix reprojectionErrors(const NonlinearFactorGraph &graph, const Values &values)
Calculate the errors of all projection factors in a graph.
Definition utilities.h:341
void perturbPoint2(Values &values, double sigma, int32_t seed=42u)
Perturbs all 2D point values in a Values container using isotropic Gaussian noise.
Definition utilities.h:210
void perturbPose2(Values &values, double sigmaT, double sigmaR, int32_t seed=42u)
Perturbs all 2D pose values (Pose2) in a Values container using diagonal Gaussian noise.
Definition utilities.h:235
void insertProjectionFactors(NonlinearFactorGraph &graph, Key i, const Vector &J, ConstMatrixView Z, const SharedNoiseModel &model, const Cal3_S2::shared_ptr K, const Pose3 &body_P_sensor=Pose3())
Insert multiple projection factors for a single pose key.
Definition utilities.h:325
Values allPose2s(const Values &values)
Extract all Pose3 values.
Definition utilities.h:132
Values allPose3s(const Values &values)
Extract all Pose3 values.
Definition utilities.h:150
Matrix extractPose3(const Values &values)
Extract all Pose3 values into a single matrix [r11 r12 r13 r21 r22 r23 r31 r32 r33 x y z].
Definition utilities.h:158
Matrix extractPose2(const Values &values)
Extract all Pose2 values into a single matrix [x y theta].
Definition utilities.h:140
void perturbPoint3(Values &values, double sigma, int32_t seed=42u)
Perturbs all 3D point values in a Values container using isotropic Gaussian noise.
Definition utilities.h:255