Bindings for mrpt::bayes namespace

Classes
		mrpt.pymrpt.mrpt.config.CLoadableOptions(pybind11_builtins.pybind11_object) TKF_options pybind11_builtins.pybind11_object(builtins.object) CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t CParticleFilter CParticleFilterCapable CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t CProbabilityParticleBase CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t CRejectionSamplingCapable_mrpt_poses_CPose2D_mrpt_bayes_particle_storage_mode_POINTER_t TKFMethod particle_storage_mode   class CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t(pybind11_builtins.pybind11_object)       Method resolution order: CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t pybind11_builtins.pybind11_object builtins.object Methods defined here: OnNewLandmarkAddedToMap(...) OnNewLandmarkAddedToMap(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t, in_obsIdx: int, in_idxNewFeat: int) -> None   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::OnNewLandmarkAddedToMap(size_t, size_t) --> void OnNormalizeStateVector(...) OnNormalizeStateVector(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t) -> None   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::OnNormalizeStateVector() --> void OnPostIteration(...) OnPostIteration(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t) -> None   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::OnPostIteration() --> void __init__(self, /, *args, **kwargs) Initialize self.  See help(type(self)) for accurate signature. getLandmarkCov(...) getLandmarkCov(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t, idx: int, feat_cov: mrpt.pymrpt.mrpt.math.CMatrixFixed_double_2UL_2UL_t) -> None   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::getLandmarkCov(size_t, class mrpt::math::CMatrixFixed<double, 2, 2> &) const --> void getLandmarkMean(...) getLandmarkMean(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t, idx: int, feat: mrpt.pymrpt.mrpt.math.CMatrixFixed_double_2UL_1UL_t) -> None   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::getLandmarkMean(size_t, class mrpt::math::CMatrixFixed<double, 2, 1> &) const --> void getNumberOfLandmarksInTheMap(...) getNumberOfLandmarksInTheMap(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t) -> int   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::getNumberOfLandmarksInTheMap() const --> size_t getProfiler(...) getProfiler(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t) -> mrpt.pymrpt.mrpt.system.CTimeLogger   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::getProfiler() --> class mrpt::system::CTimeLogger & getStateVectorLength(...) getStateVectorLength(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t) -> int   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::getStateVectorLength() const --> size_t internal_getPkk(...) internal_getPkk(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t) -> mrpt.pymrpt.mrpt.math.CMatrixDynamic_double_t   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::internal_getPkk() --> class mrpt::math::CMatrixDynamic<double> & internal_getXkk(...) internal_getXkk(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t) -> mrpt::math::CVectorDynamic<double>   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::internal_getXkk() --> class mrpt::math::CVectorDynamic<double> & isMapEmpty(...) isMapEmpty(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_3UL_2UL_2UL_3UL_double_t) -> bool   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::isMapEmpty() const --> bool Static methods defined here: get_action_size(...) from builtins.PyCapsule get_action_size() -> int   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::get_action_size() --> size_t get_feature_size(...) from builtins.PyCapsule get_feature_size() -> int   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::get_feature_size() --> size_t get_observation_size(...) from builtins.PyCapsule get_observation_size() -> int   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::get_observation_size() --> size_t get_vehicle_size(...) from builtins.PyCapsule get_vehicle_size() -> int   C++: mrpt::bayes::CKalmanFilterCapable<3, 2, 2, 3>::get_vehicle_size() --> size_t Readonly properties defined here: KF_options Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t(pybind11_builtins.pybind11_object)       Method resolution order: CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t pybind11_builtins.pybind11_object builtins.object Methods defined here: OnNewLandmarkAddedToMap(...) OnNewLandmarkAddedToMap(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t, in_obsIdx: int, in_idxNewFeat: int) -> None   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::OnNewLandmarkAddedToMap(size_t, size_t) --> void OnNormalizeStateVector(...) OnNormalizeStateVector(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t) -> None   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::OnNormalizeStateVector() --> void OnPostIteration(...) OnPostIteration(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t) -> None   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::OnPostIteration() --> void __init__(self, /, *args, **kwargs) Initialize self.  See help(type(self)) for accurate signature. getLandmarkCov(...) getLandmarkCov(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t, idx: int, feat_cov: mrpt.pymrpt.mrpt.math.CMatrixFixed_double_3UL_3UL_t) -> None   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::getLandmarkCov(size_t, class mrpt::math::CMatrixFixed<double, 3, 3> &) const --> void getLandmarkMean(...) getLandmarkMean(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t, idx: int, feat: mrpt.pymrpt.mrpt.math.CMatrixFixed_double_3UL_1UL_t) -> None   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::getLandmarkMean(size_t, class mrpt::math::CMatrixFixed<double, 3, 1> &) const --> void getNumberOfLandmarksInTheMap(...) getNumberOfLandmarksInTheMap(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t) -> int   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::getNumberOfLandmarksInTheMap() const --> size_t getProfiler(...) getProfiler(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t) -> mrpt.pymrpt.mrpt.system.CTimeLogger   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::getProfiler() --> class mrpt::system::CTimeLogger & getStateVectorLength(...) getStateVectorLength(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t) -> int   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::getStateVectorLength() const --> size_t internal_getPkk(...) internal_getPkk(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t) -> mrpt.pymrpt.mrpt.math.CMatrixDynamic_double_t   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::internal_getPkk() --> class mrpt::math::CMatrixDynamic<double> & internal_getXkk(...) internal_getXkk(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t) -> mrpt::math::CVectorDynamic<double>   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::internal_getXkk() --> class mrpt::math::CVectorDynamic<double> & isMapEmpty(...) isMapEmpty(self: mrpt.pymrpt.mrpt.bayes.CKalmanFilterCapable_7UL_3UL_3UL_7UL_double_t) -> bool   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::isMapEmpty() const --> bool Static methods defined here: get_action_size(...) from builtins.PyCapsule get_action_size() -> int   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::get_action_size() --> size_t get_feature_size(...) from builtins.PyCapsule get_feature_size() -> int   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::get_feature_size() --> size_t get_observation_size(...) from builtins.PyCapsule get_observation_size() -> int   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::get_observation_size() --> size_t get_vehicle_size(...) from builtins.PyCapsule get_vehicle_size() -> int   C++: mrpt::bayes::CKalmanFilterCapable<7, 3, 3, 7>::get_vehicle_size() --> size_t Readonly properties defined here: KF_options Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilter(pybind11_builtins.pybind11_object)     This class acts as a common interface to the different interfaces (see CParticleFilter::TParticleFilterAlgorithm) any bayes::CParticleFilterCapable class can implement: it is the invoker of particle filter algorithms.    The particle filter is executed on a probability density function (PDF) described by a CParticleFilterCapable object, passed in the constructor or alternatively through the CParticleFilter::executeOn method.    For a complete example and further details, see the  *href="http://www.mrpt.org/Particle_Filter_Tutorial" >Particle Filter tutorial.      The basic SIR algorithm (pfStandardProposal) consists of:                 - Execute a prediction with the given "action".                 - Update the weights of the particles using the likelihood of the "observation".                 - Normalize weights.                 - Perform resampling if the ESS is below the threshold options.BETA.          mrpt::poses::CPoseParticlesPDF     Method resolution order: CParticleFilter pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilter) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilter, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilter) -> None assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilter, : mrpt.pymrpt.mrpt.bayes.CParticleFilter) -> mrpt.pymrpt.mrpt.bayes.CParticleFilter   C++: mrpt::bayes::CParticleFilter::operator=(const class mrpt::bayes::CParticleFilter &) --> class mrpt::bayes::CParticleFilter & executeOn(...) executeOn(*args, **kwargs) Overloaded function.   1. executeOn(self: mrpt.pymrpt.mrpt.bayes.CParticleFilter, obj: mrpt::bayes::CParticleFilterCapable, action: mrpt::obs::CActionCollection, observation: mrpt::obs::CSensoryFrame) -> None   2. executeOn(self: mrpt.pymrpt.mrpt.bayes.CParticleFilter, obj: mrpt::bayes::CParticleFilterCapable, action: mrpt::obs::CActionCollection, observation: mrpt::obs::CSensoryFrame, stats: mrpt::bayes::CParticleFilter::TParticleFilterStats) -> None   Executes a complete prediction + update step of the selected particle  filtering algorithm.     The member CParticleFilter::m_options must be set before calling this  to settle the algorithm parameters.                The object representing the probability distribution  function (PDF) which apply the particle filter algorithm to.                     A pointer to an action in the form of a  CActionCollection,  or nullptr if there is no action.             A pointer to observations in the form of a  CSensoryFrame, or nullptr if there is no observation.      An output structure for gathering statistics of the particle  filter execution, or set to nullptr if you do not need it (see  CParticleFilter::TParticleFilterStats).      CParticleFilterCapable, executeOn   C++: mrpt::bayes::CParticleFilter::executeOn(class mrpt::bayes::CParticleFilterCapable &, const class mrpt::obs::CActionCollection *, const class mrpt::obs::CSensoryFrame *, struct mrpt::bayes::CParticleFilter::TParticleFilterStats *) const --> void Data descriptors defined here: m_options Data and other attributes defined here: TParticleFilterAlgorithm = <class 'mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterAlgorithm'> TParticleFilterOptions = <class 'mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions'> The configuration of a particle filter. TParticleFilterStats = <class 'mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterStats'> Statistics for being returned from the "execute" method. TParticleResamplingAlgorithm = <class 'mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleResamplingAlgorithm'> pfAuxiliaryPFOptimal = <TParticleFilterAlgorithm.pfAuxiliaryPFOptimal: 3> pfAuxiliaryPFStandard = <TParticleFilterAlgorithm.pfAuxiliaryPFStandard: 1> pfOptimalProposal = <TParticleFilterAlgorithm.pfOptimalProposal: 2> pfStandardProposal = <TParticleFilterAlgorithm.pfStandardProposal: 0> prMultinomial = <TParticleResamplingAlgorithm.prMultinomial: 0> prResidual = <TParticleResamplingAlgorithm.prResidual: 1> prStratified = <TParticleResamplingAlgorithm.prStratified: 2> prSystematic = <TParticleResamplingAlgorithm.prSystematic: 3> Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilterCapable(pybind11_builtins.pybind11_object)     This virtual class defines the interface that any particles based PDF class must implement in order to be executed by a mrpt::bayes::CParticleFilter.   See the Particle Filter tutorial explaining how to use the particle filter-related classes.     CParticleFilter, CParticleFilterData     Method resolution order: CParticleFilterCapable pybind11_builtins.pybind11_object builtins.object Methods defined here: ESS(...) ESS(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> float   Returns the normalized ESS (Estimated Sample Size), in the range [0,1].   Note that you do NOT need to normalize the weights before calling this.   C++: mrpt::bayes::CParticleFilterCapable::ESS() const --> double __init__(self, /, *args, **kwargs) Initialize self.  See help(type(self)) for accurate signature. assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, : mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable   C++: mrpt::bayes::CParticleFilterCapable::operator=(const class mrpt::bayes::CParticleFilterCapable &) --> class mrpt::bayes::CParticleFilterCapable & fastDrawSample(...) fastDrawSample(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> int   Draws a random sample from the particle filter, in such a way that each particle has a probability proportional to its weight (in the standard PF algorithm).    This method can be used to generate a variable number of m_particles when resampling: to vary the number of m_particles in the filter.    See prepareFastDrawSample for more information, or the  *href="http://www.mrpt.org/Particle_Filters" >Particle Filter tutorial.    NOTES:                 - You MUST call "prepareFastDrawSample" ONCE before calling this method. That method must be called after modifying the particle filter (executing one step, resampling, etc...)                 - This method returns ONE index for the selected ("drawn") particle, in the range [0,M-1]                 - You do not need to call "normalizeWeights" before calling this.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::fastDrawSample(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) const --> size_t getW(...) getW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, i: int) -> float   Access to i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::getW(size_t) const --> double normalizeWeights(...) normalizeWeights(*args, **kwargs) Overloaded function.   1. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> float   2. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, out_max_log_w: float) -> float   Normalize the (logarithmic) weights, such as the maximum weight is zero.      If provided, will return with the maximum log_w  before normalizing, such as new_weights = old_weights - max_log_w.      The max/min ratio of weights ("dynamic range")   C++: mrpt::bayes::CParticleFilterCapable::normalizeWeights(double *) --> double particlesCount(...) particlesCount(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> int   Get the m_particles count.   C++: mrpt::bayes::CParticleFilterCapable::particlesCount() const --> size_t performResampling(...) performResampling(*args, **kwargs) Overloaded function.   1. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   2. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, out_particle_count: int) -> None   Performs a resample of the m_particles, using the method selected in the  constructor.  After computing the surviving samples, this method internally calls  "performSubstitution" to actually perform the particle replacement.  This method is called automatically by CParticleFilter::execute,  andshould not be invoked manually normally.  To just obtaining the sequence of resampled indexes from a sequence of  weights, use "resample"      The desired number of output particles  after resampling; 0 means don't modify the current number.      resample   C++: mrpt::bayes::CParticleFilterCapable::performResampling(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, size_t) --> void prediction_and_update(...) prediction_and_update(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, action: mrpt::obs::CActionCollection, observation: mrpt::obs::CSensoryFrame, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   Performs the prediction stage of the Particle Filter.   This method simply selects the appropiate protected method according to  the particle filter algorithm to run.        prediction_and_update_pfStandardProposal,prediction_and_update_pfAuxiliaryPFStandard,prediction_and_update_pfOptimalProposal,prediction_and_update_pfAuxiliaryPFOptimal   C++: mrpt::bayes::CParticleFilterCapable::prediction_and_update(const class mrpt::obs::CActionCollection *, const class mrpt::obs::CSensoryFrame *, const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) --> void setW(...) setW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, i: int, w: float) -> None   Modifies i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::setW(size_t, double) --> void Static methods defined here: defaultEvaluator(...) from builtins.PyCapsule defaultEvaluator(PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, obj: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, index: int, action: capsule, observation: capsule) -> float   The default evaluator function, which simply returns the particle  weight.   The action and the observation are declared as "void*" for a greater  flexibility.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::defaultEvaluator(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, const class mrpt::bayes::CParticleFilterCapable *, size_t, const void *, const void *) --> double Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t(CParticleFilterCapable)       Method resolution order: CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t CParticleFilterCapable pybind11_builtins.pybind11_object builtins.object Methods defined here: ESS(...) ESS(*args, **kwargs) Overloaded function.   1. ESS(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::maps::CMultiMetricMapPDF, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER>>>::ESS() const --> double   2. ESS(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> float   Returns the normalized ESS (Estimated Sample Size), in the range [0,1].   Note that you do NOT need to normalize the weights before calling this.   C++: mrpt::bayes::CParticleFilterCapable::ESS() const --> double __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   3. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> None assign(...) assign(*args, **kwargs) Overloaded function.   1. assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::maps::CMultiMetricMapPDF, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER>>>::operator=(const struct mrpt::bayes::CParticleFilterDataImpl<class mrpt::maps::CMultiMetricMapPDF, class std::deque<struct mrpt::bayes::CProbabilityParticle<class mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER> > > &) --> struct mrpt::bayes::CParticleFilterDataImpl<class mrpt::maps::CMultiMetricMapPDF, class std::deque<struct mrpt::bayes::CProbabilityParticle<class mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER> > > &   2. assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable   C++: mrpt::bayes::CParticleFilterCapable::operator=(const class mrpt::bayes::CParticleFilterCapable &) --> class mrpt::bayes::CParticleFilterCapable & derived(...) derived(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> mrpt::maps::CMultiMetricMapPDF   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::maps::CMultiMetricMapPDF, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER>>>::derived() --> class mrpt::maps::CMultiMetricMapPDF & fastDrawSample(...) fastDrawSample(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> int   Draws a random sample from the particle filter, in such a way that each particle has a probability proportional to its weight (in the standard PF algorithm).    This method can be used to generate a variable number of m_particles when resampling: to vary the number of m_particles in the filter.    See prepareFastDrawSample for more information, or the  *href="http://www.mrpt.org/Particle_Filters" >Particle Filter tutorial.    NOTES:                 - You MUST call "prepareFastDrawSample" ONCE before calling this method. That method must be called after modifying the particle filter (executing one step, resampling, etc...)                 - This method returns ONE index for the selected ("drawn") particle, in the range [0,M-1]                 - You do not need to call "normalizeWeights" before calling this.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::fastDrawSample(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) const --> size_t getW(...) getW(*args, **kwargs) Overloaded function.   1. getW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, i: int) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::maps::CMultiMetricMapPDF, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER>>>::getW(size_t) const --> double   2. getW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, i: int) -> float   Access to i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::getW(size_t) const --> double normalizeWeights(...) normalizeWeights(*args, **kwargs) Overloaded function.   1. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> float   2. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, out_max_log_w: float) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::maps::CMultiMetricMapPDF, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER>>>::normalizeWeights(double *) --> double   3. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> float   4. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, out_max_log_w: float) -> float   Normalize the (logarithmic) weights, such as the maximum weight is zero.      If provided, will return with the maximum log_w  before normalizing, such as new_weights = old_weights - max_log_w.      The max/min ratio of weights ("dynamic range")   C++: mrpt::bayes::CParticleFilterCapable::normalizeWeights(double *) --> double particlesCount(...) particlesCount(*args, **kwargs) Overloaded function.   1. particlesCount(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> int   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::maps::CMultiMetricMapPDF, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER>>>::particlesCount() const --> size_t   2. particlesCount(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> int   Get the m_particles count.   C++: mrpt::bayes::CParticleFilterCapable::particlesCount() const --> size_t performResampling(...) performResampling(*args, **kwargs) Overloaded function.   1. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   2. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, out_particle_count: int) -> None   Performs a resample of the m_particles, using the method selected in the  constructor.  After computing the surviving samples, this method internally calls  "performSubstitution" to actually perform the particle replacement.  This method is called automatically by CParticleFilter::execute,  andshould not be invoked manually normally.  To just obtaining the sequence of resampled indexes from a sequence of  weights, use "resample"      The desired number of output particles  after resampling; 0 means don't modify the current number.      resample   C++: mrpt::bayes::CParticleFilterCapable::performResampling(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, size_t) --> void prediction_and_update(...) prediction_and_update(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, action: mrpt.pymrpt.mrpt.obs.CActionCollection, observation: mrpt.pymrpt.mrpt.obs.CSensoryFrame, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   Performs the prediction stage of the Particle Filter.   This method simply selects the appropiate protected method according to  the particle filter algorithm to run.        prediction_and_update_pfStandardProposal,prediction_and_update_pfAuxiliaryPFStandard,prediction_and_update_pfOptimalProposal,prediction_and_update_pfAuxiliaryPFOptimal   C++: mrpt::bayes::CParticleFilterCapable::prediction_and_update(const class mrpt::obs::CActionCollection *, const class mrpt::obs::CSensoryFrame *, const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) --> void setW(...) setW(*args, **kwargs) Overloaded function.   1. setW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, i: int, w: float) -> None   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::maps::CMultiMetricMapPDF, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER>>>::setW(size_t, double) --> void   2. setW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_maps_CMultiMetricMapPDF_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, i: int, w: float) -> None   Modifies i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::setW(size_t, double) --> void Static methods defined here: defaultEvaluator(...) from builtins.PyCapsule defaultEvaluator(PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, obj: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, index: int, action: capsule, observation: capsule) -> float   The default evaluator function, which simply returns the particle  weight.   The action and the observation are declared as "void*" for a greater  flexibility.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::defaultEvaluator(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, const class mrpt::bayes::CParticleFilterCapable *, size_t, const void *, const void *) --> double Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t(CParticleFilterCapable)       Method resolution order: CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t CParticleFilterCapable pybind11_builtins.pybind11_object builtins.object Methods defined here: ESS(...) ESS(*args, **kwargs) Overloaded function.   1. ESS(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPointPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>>>::ESS() const --> double   2. ESS(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> float   Returns the normalized ESS (Estimated Sample Size), in the range [0,1].   Note that you do NOT need to normalize the weights before calling this.   C++: mrpt::bayes::CParticleFilterCapable::ESS() const --> double __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   3. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> None assign(...) assign(*args, **kwargs) Overloaded function.   1. assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPointPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>>>::operator=(const struct mrpt::bayes::CParticleFilterDataImpl<class mrpt::poses::CPointPDFParticles, class std::deque<struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER> > > &) --> struct mrpt::bayes::CParticleFilterDataImpl<class mrpt::poses::CPointPDFParticles, class std::deque<struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER> > > &   2. assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable   C++: mrpt::bayes::CParticleFilterCapable::operator=(const class mrpt::bayes::CParticleFilterCapable &) --> class mrpt::bayes::CParticleFilterCapable & derived(...) derived(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> mrpt::poses::CPointPDFParticles   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPointPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>>>::derived() --> class mrpt::poses::CPointPDFParticles & fastDrawSample(...) fastDrawSample(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> int   Draws a random sample from the particle filter, in such a way that each particle has a probability proportional to its weight (in the standard PF algorithm).    This method can be used to generate a variable number of m_particles when resampling: to vary the number of m_particles in the filter.    See prepareFastDrawSample for more information, or the  *href="http://www.mrpt.org/Particle_Filters" >Particle Filter tutorial.    NOTES:                 - You MUST call "prepareFastDrawSample" ONCE before calling this method. That method must be called after modifying the particle filter (executing one step, resampling, etc...)                 - This method returns ONE index for the selected ("drawn") particle, in the range [0,M-1]                 - You do not need to call "normalizeWeights" before calling this.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::fastDrawSample(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) const --> size_t getW(...) getW(*args, **kwargs) Overloaded function.   1. getW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, i: int) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPointPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>>>::getW(size_t) const --> double   2. getW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, i: int) -> float   Access to i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::getW(size_t) const --> double normalizeWeights(...) normalizeWeights(*args, **kwargs) Overloaded function.   1. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> float   2. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, out_max_log_w: float) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPointPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>>>::normalizeWeights(double *) --> double   3. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> float   4. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, out_max_log_w: float) -> float   Normalize the (logarithmic) weights, such as the maximum weight is zero.      If provided, will return with the maximum log_w  before normalizing, such as new_weights = old_weights - max_log_w.      The max/min ratio of weights ("dynamic range")   C++: mrpt::bayes::CParticleFilterCapable::normalizeWeights(double *) --> double particlesCount(...) particlesCount(*args, **kwargs) Overloaded function.   1. particlesCount(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> int   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPointPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>>>::particlesCount() const --> size_t   2. particlesCount(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> int   Get the m_particles count.   C++: mrpt::bayes::CParticleFilterCapable::particlesCount() const --> size_t performResampling(...) performResampling(*args, **kwargs) Overloaded function.   1. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   2. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, out_particle_count: int) -> None   Performs a resample of the m_particles, using the method selected in the  constructor.  After computing the surviving samples, this method internally calls  "performSubstitution" to actually perform the particle replacement.  This method is called automatically by CParticleFilter::execute,  andshould not be invoked manually normally.  To just obtaining the sequence of resampled indexes from a sequence of  weights, use "resample"      The desired number of output particles  after resampling; 0 means don't modify the current number.      resample   C++: mrpt::bayes::CParticleFilterCapable::performResampling(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, size_t) --> void prediction_and_update(...) prediction_and_update(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, action: mrpt.pymrpt.mrpt.obs.CActionCollection, observation: mrpt.pymrpt.mrpt.obs.CSensoryFrame, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   Performs the prediction stage of the Particle Filter.   This method simply selects the appropiate protected method according to  the particle filter algorithm to run.        prediction_and_update_pfStandardProposal,prediction_and_update_pfAuxiliaryPFStandard,prediction_and_update_pfOptimalProposal,prediction_and_update_pfAuxiliaryPFOptimal   C++: mrpt::bayes::CParticleFilterCapable::prediction_and_update(const class mrpt::obs::CActionCollection *, const class mrpt::obs::CSensoryFrame *, const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) --> void setW(...) setW(*args, **kwargs) Overloaded function.   1. setW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, i: int, w: float) -> None   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPointPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>>>::setW(size_t, double) --> void   2. setW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPointPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, i: int, w: float) -> None   Modifies i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::setW(size_t, double) --> void Static methods defined here: defaultEvaluator(...) from builtins.PyCapsule defaultEvaluator(PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, obj: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, index: int, action: capsule, observation: capsule) -> float   The default evaluator function, which simply returns the particle  weight.   The action and the observation are declared as "void*" for a greater  flexibility.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::defaultEvaluator(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, const class mrpt::bayes::CParticleFilterCapable *, size_t, const void *, const void *) --> double Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t(CParticleFilterCapable)       Method resolution order: CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t CParticleFilterCapable pybind11_builtins.pybind11_object builtins.object Methods defined here: ESS(...) ESS(*args, **kwargs) Overloaded function.   1. ESS(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPose3DPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>>>::ESS() const --> double   2. ESS(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> float   Returns the normalized ESS (Estimated Sample Size), in the range [0,1].   Note that you do NOT need to normalize the weights before calling this.   C++: mrpt::bayes::CParticleFilterCapable::ESS() const --> double __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   3. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None assign(...) assign(*args, **kwargs) Overloaded function.   1. assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPose3DPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>>>::operator=(const struct mrpt::bayes::CParticleFilterDataImpl<class mrpt::poses::CPose3DPDFParticles, class std::deque<struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE> > > &) --> struct mrpt::bayes::CParticleFilterDataImpl<class mrpt::poses::CPose3DPDFParticles, class std::deque<struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE> > > &   2. assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable   C++: mrpt::bayes::CParticleFilterCapable::operator=(const class mrpt::bayes::CParticleFilterCapable &) --> class mrpt::bayes::CParticleFilterCapable & derived(...) derived(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> mrpt::poses::CPose3DPDFParticles   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPose3DPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>>>::derived() --> class mrpt::poses::CPose3DPDFParticles & fastDrawSample(...) fastDrawSample(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> int   Draws a random sample from the particle filter, in such a way that each particle has a probability proportional to its weight (in the standard PF algorithm).    This method can be used to generate a variable number of m_particles when resampling: to vary the number of m_particles in the filter.    See prepareFastDrawSample for more information, or the  *href="http://www.mrpt.org/Particle_Filters" >Particle Filter tutorial.    NOTES:                 - You MUST call "prepareFastDrawSample" ONCE before calling this method. That method must be called after modifying the particle filter (executing one step, resampling, etc...)                 - This method returns ONE index for the selected ("drawn") particle, in the range [0,M-1]                 - You do not need to call "normalizeWeights" before calling this.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::fastDrawSample(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) const --> size_t getW(...) getW(*args, **kwargs) Overloaded function.   1. getW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, i: int) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPose3DPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>>>::getW(size_t) const --> double   2. getW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, i: int) -> float   Access to i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::getW(size_t) const --> double normalizeWeights(...) normalizeWeights(*args, **kwargs) Overloaded function.   1. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> float   2. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, out_max_log_w: float) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPose3DPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>>>::normalizeWeights(double *) --> double   3. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> float   4. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, out_max_log_w: float) -> float   Normalize the (logarithmic) weights, such as the maximum weight is zero.      If provided, will return with the maximum log_w  before normalizing, such as new_weights = old_weights - max_log_w.      The max/min ratio of weights ("dynamic range")   C++: mrpt::bayes::CParticleFilterCapable::normalizeWeights(double *) --> double particlesCount(...) particlesCount(*args, **kwargs) Overloaded function.   1. particlesCount(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> int   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPose3DPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>>>::particlesCount() const --> size_t   2. particlesCount(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> int   Get the m_particles count.   C++: mrpt::bayes::CParticleFilterCapable::particlesCount() const --> size_t performResampling(...) performResampling(*args, **kwargs) Overloaded function.   1. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   2. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, out_particle_count: int) -> None   Performs a resample of the m_particles, using the method selected in the  constructor.  After computing the surviving samples, this method internally calls  "performSubstitution" to actually perform the particle replacement.  This method is called automatically by CParticleFilter::execute,  andshould not be invoked manually normally.  To just obtaining the sequence of resampled indexes from a sequence of  weights, use "resample"      The desired number of output particles  after resampling; 0 means don't modify the current number.      resample   C++: mrpt::bayes::CParticleFilterCapable::performResampling(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, size_t) --> void prediction_and_update(...) prediction_and_update(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, action: mrpt.pymrpt.mrpt.obs.CActionCollection, observation: mrpt.pymrpt.mrpt.obs.CSensoryFrame, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   Performs the prediction stage of the Particle Filter.   This method simply selects the appropiate protected method according to  the particle filter algorithm to run.        prediction_and_update_pfStandardProposal,prediction_and_update_pfAuxiliaryPFStandard,prediction_and_update_pfOptimalProposal,prediction_and_update_pfAuxiliaryPFOptimal   C++: mrpt::bayes::CParticleFilterCapable::prediction_and_update(const class mrpt::obs::CActionCollection *, const class mrpt::obs::CSensoryFrame *, const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) --> void setW(...) setW(*args, **kwargs) Overloaded function.   1. setW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, i: int, w: float) -> None   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPose3DPDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>>>::setW(size_t, double) --> void   2. setW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPose3DPDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, i: int, w: float) -> None   Modifies i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::setW(size_t, double) --> void Static methods defined here: defaultEvaluator(...) from builtins.PyCapsule defaultEvaluator(PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, obj: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, index: int, action: capsule, observation: capsule) -> float   The default evaluator function, which simply returns the particle  weight.   The action and the observation are declared as "void*" for a greater  flexibility.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::defaultEvaluator(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, const class mrpt::bayes::CParticleFilterCapable *, size_t, const void *, const void *) --> double Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t(CParticleFilterCapable)       Method resolution order: CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t CParticleFilterCapable pybind11_builtins.pybind11_object builtins.object Methods defined here: ESS(...) ESS(*args, **kwargs) Overloaded function.   1. ESS(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPosePDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>>>::ESS() const --> double   2. ESS(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> float   Returns the normalized ESS (Estimated Sample Size), in the range [0,1].   Note that you do NOT need to normalize the weights before calling this.   C++: mrpt::bayes::CParticleFilterCapable::ESS() const --> double __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   3. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None assign(...) assign(*args, **kwargs) Overloaded function.   1. assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPosePDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>>>::operator=(const struct mrpt::bayes::CParticleFilterDataImpl<class mrpt::poses::CPosePDFParticles, class std::deque<struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE> > > &) --> struct mrpt::bayes::CParticleFilterDataImpl<class mrpt::poses::CPosePDFParticles, class std::deque<struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE> > > &   2. assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable   C++: mrpt::bayes::CParticleFilterCapable::operator=(const class mrpt::bayes::CParticleFilterCapable &) --> class mrpt::bayes::CParticleFilterCapable & derived(...) derived(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> mrpt::poses::CPosePDFParticles   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPosePDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>>>::derived() --> class mrpt::poses::CPosePDFParticles & fastDrawSample(...) fastDrawSample(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> int   Draws a random sample from the particle filter, in such a way that each particle has a probability proportional to its weight (in the standard PF algorithm).    This method can be used to generate a variable number of m_particles when resampling: to vary the number of m_particles in the filter.    See prepareFastDrawSample for more information, or the  *href="http://www.mrpt.org/Particle_Filters" >Particle Filter tutorial.    NOTES:                 - You MUST call "prepareFastDrawSample" ONCE before calling this method. That method must be called after modifying the particle filter (executing one step, resampling, etc...)                 - This method returns ONE index for the selected ("drawn") particle, in the range [0,M-1]                 - You do not need to call "normalizeWeights" before calling this.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::fastDrawSample(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) const --> size_t getW(...) getW(*args, **kwargs) Overloaded function.   1. getW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, i: int) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPosePDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>>>::getW(size_t) const --> double   2. getW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, i: int) -> float   Access to i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::getW(size_t) const --> double normalizeWeights(...) normalizeWeights(*args, **kwargs) Overloaded function.   1. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> float   2. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, out_max_log_w: float) -> float   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPosePDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>>>::normalizeWeights(double *) --> double   3. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable) -> float   4. normalizeWeights(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, out_max_log_w: float) -> float   Normalize the (logarithmic) weights, such as the maximum weight is zero.      If provided, will return with the maximum log_w  before normalizing, such as new_weights = old_weights - max_log_w.      The max/min ratio of weights ("dynamic range")   C++: mrpt::bayes::CParticleFilterCapable::normalizeWeights(double *) --> double particlesCount(...) particlesCount(*args, **kwargs) Overloaded function.   1. particlesCount(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> int   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPosePDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>>>::particlesCount() const --> size_t   2. particlesCount(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> int   Get the m_particles count.   C++: mrpt::bayes::CParticleFilterCapable::particlesCount() const --> size_t performResampling(...) performResampling(*args, **kwargs) Overloaded function.   1. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   2. performResampling(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, out_particle_count: int) -> None   Performs a resample of the m_particles, using the method selected in the  constructor.  After computing the surviving samples, this method internally calls  "performSubstitution" to actually perform the particle replacement.  This method is called automatically by CParticleFilter::execute,  andshould not be invoked manually normally.  To just obtaining the sequence of resampled indexes from a sequence of  weights, use "resample"      The desired number of output particles  after resampling; 0 means don't modify the current number.      resample   C++: mrpt::bayes::CParticleFilterCapable::performResampling(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, size_t) --> void prediction_and_update(...) prediction_and_update(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, action: mrpt.pymrpt.mrpt.obs.CActionCollection, observation: mrpt.pymrpt.mrpt.obs.CSensoryFrame, PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions) -> None   Performs the prediction stage of the Particle Filter.   This method simply selects the appropiate protected method according to  the particle filter algorithm to run.        prediction_and_update_pfStandardProposal,prediction_and_update_pfAuxiliaryPFStandard,prediction_and_update_pfOptimalProposal,prediction_and_update_pfAuxiliaryPFOptimal   C++: mrpt::bayes::CParticleFilterCapable::prediction_and_update(const class mrpt::obs::CActionCollection *, const class mrpt::obs::CSensoryFrame *, const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &) --> void setW(...) setW(*args, **kwargs) Overloaded function.   1. setW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, i: int, w: float) -> None   C++: mrpt::bayes::CParticleFilterDataImpl<mrpt::poses::CPosePDFParticles, std::deque<mrpt::bayes::CProbabilityParticle<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>>>::setW(size_t, double) --> void   2. setW(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterDataImpl_mrpt_poses_CPosePDFParticles_std_deque_mrpt_bayes_CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, i: int, w: float) -> None   Modifies i'th particle (logarithm) weight, where first one is index 0.   C++: mrpt::bayes::CParticleFilterCapable::setW(size_t, double) --> void Static methods defined here: defaultEvaluator(...) from builtins.PyCapsule defaultEvaluator(PF_options: mrpt.pymrpt.mrpt.bayes.CParticleFilter.TParticleFilterOptions, obj: mrpt.pymrpt.mrpt.bayes.CParticleFilterCapable, index: int, action: capsule, observation: capsule) -> float   The default evaluator function, which simply returns the particle  weight.   The action and the observation are declared as "void*" for a greater  flexibility.      prepareFastDrawSample   C++: mrpt::bayes::CParticleFilterCapable::defaultEvaluator(const struct mrpt::bayes::CParticleFilter::TParticleFilterOptions &, const class mrpt::bayes::CParticleFilterCapable *, size_t, const void *, const void *) --> double Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t(pybind11_builtins.pybind11_object)       Method resolution order: CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> None assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t   C++: mrpt::bayes::CParticleFilterData<mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER>::operator=(const class mrpt::bayes::CParticleFilterData<class mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER> &) --> class mrpt::bayes::CParticleFilterData<class mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER> & clearParticles(...) clearParticles(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_maps_CRBPFParticleData_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   C++: mrpt::bayes::CParticleFilterData<mrpt::maps::CRBPFParticleData, mrpt::bayes::particle_storage_mode::POINTER>::clearParticles() --> void Data descriptors defined here: m_particles Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t(pybind11_builtins.pybind11_object)       Method resolution order: CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> None assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t   C++: mrpt::bayes::CParticleFilterData<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>::operator=(const class mrpt::bayes::CParticleFilterData<struct mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER> &) --> class mrpt::bayes::CParticleFilterData<struct mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER> & clearParticles(...) clearParticles(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   C++: mrpt::bayes::CParticleFilterData<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>::clearParticles() --> void getMostLikelyParticle(...) getMostLikelyParticle(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> mrpt::bayes::CProbabilityParticle<mrpt::math::TPoint3D_<float>, (mrpt::bayes::particle_storage_mode)1>   C++: mrpt::bayes::CParticleFilterData<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>::getMostLikelyParticle() const --> const struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER> * Data descriptors defined here: m_particles Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t(pybind11_builtins.pybind11_object)       Method resolution order: CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t   C++: mrpt::bayes::CParticleFilterData<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>::operator=(const class mrpt::bayes::CParticleFilterData<struct mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE> &) --> class mrpt::bayes::CParticleFilterData<struct mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE> & clearParticles(...) clearParticles(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   C++: mrpt::bayes::CParticleFilterData<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>::clearParticles() --> void getMostLikelyParticle(...) getMostLikelyParticle(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> mrpt::bayes::CProbabilityParticle<mrpt::math::TPose2D, (mrpt::bayes::particle_storage_mode)0>   C++: mrpt::bayes::CParticleFilterData<mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE>::getMostLikelyParticle() const --> const struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPose2D, mrpt::bayes::particle_storage_mode::VALUE> * Data descriptors defined here: m_particles Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t(pybind11_builtins.pybind11_object)       Method resolution order: CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, arg0: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, : mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t   C++: mrpt::bayes::CParticleFilterData<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>::operator=(const class mrpt::bayes::CParticleFilterData<struct mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE> &) --> class mrpt::bayes::CParticleFilterData<struct mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE> & clearParticles(...) clearParticles(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   C++: mrpt::bayes::CParticleFilterData<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>::clearParticles() --> void getMostLikelyParticle(...) getMostLikelyParticle(self: mrpt.pymrpt.mrpt.bayes.CParticleFilterData_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> mrpt::bayes::CProbabilityParticle<mrpt::math::TPose3D, (mrpt::bayes::particle_storage_mode)0>   C++: mrpt::bayes::CParticleFilterData<mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE>::getMostLikelyParticle() const --> const struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPose3D, mrpt::bayes::particle_storage_mode::VALUE> * Data descriptors defined here: m_particles Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CProbabilityParticleBase(pybind11_builtins.pybind11_object)       Method resolution order: CProbabilityParticleBase pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase) -> None   doc   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase, logw: float) -> None   3. __init__(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase, arg0: mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase) -> None assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase, : mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase) -> mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase   C++: mrpt::bayes::CProbabilityParticleBase::operator=(const struct mrpt::bayes::CProbabilityParticleBase &) --> struct mrpt::bayes::CProbabilityParticleBase & Data descriptors defined here: log_w Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t(CProbabilityParticleBase)       Method resolution order: CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t CProbabilityParticleBase pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, arg0: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> None assign(...) assign(*args, **kwargs) Overloaded function.   1. assign(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, : mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t) -> mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t   C++: mrpt::bayes::CProbabilityParticle<mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER>::operator=(const struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER> &) --> struct mrpt::bayes::CProbabilityParticle<struct mrpt::math::TPoint3D_<float>, mrpt::bayes::particle_storage_mode::POINTER> &   2. assign(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPoint3D_float_mrpt_bayes_particle_storage_mode_POINTER_t, : mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase) -> mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase   C++: mrpt::bayes::CProbabilityParticleBase::operator=(const struct mrpt::bayes::CProbabilityParticleBase &) --> struct mrpt::bayes::CProbabilityParticleBase & Data descriptors defined here: d log_w Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t(CProbabilityParticleBase)       Method resolution order: CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t CProbabilityParticleBase pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, data: mrpt.pymrpt.mrpt.math.TPose2D, logw: float) -> None assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPose2D_mrpt_bayes_particle_storage_mode_VALUE_t, : mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase) -> mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase   C++: mrpt::bayes::CProbabilityParticleBase::operator=(const struct mrpt::bayes::CProbabilityParticleBase &) --> struct mrpt::bayes::CProbabilityParticleBase & Data descriptors defined here: d log_w Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t(CProbabilityParticleBase)       Method resolution order: CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t CProbabilityParticleBase pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, data: mrpt.pymrpt.mrpt.math.TPose3D, logw: float) -> None assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CProbabilityParticle_mrpt_math_TPose3D_mrpt_bayes_particle_storage_mode_VALUE_t, : mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase) -> mrpt.pymrpt.mrpt.bayes.CProbabilityParticleBase   C++: mrpt::bayes::CProbabilityParticleBase::operator=(const struct mrpt::bayes::CProbabilityParticleBase &) --> struct mrpt::bayes::CProbabilityParticleBase & Data descriptors defined here: d log_w Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class CRejectionSamplingCapable_mrpt_poses_CPose2D_mrpt_bayes_particle_storage_mode_POINTER_t(pybind11_builtins.pybind11_object)       Method resolution order: CRejectionSamplingCapable_mrpt_poses_CPose2D_mrpt_bayes_particle_storage_mode_POINTER_t pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.CRejectionSamplingCapable_mrpt_poses_CPose2D_mrpt_bayes_particle_storage_mode_POINTER_t) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.CRejectionSamplingCapable_mrpt_poses_CPose2D_mrpt_bayes_particle_storage_mode_POINTER_t, arg0: mrpt.pymrpt.mrpt.bayes.CRejectionSamplingCapable_mrpt_poses_CPose2D_mrpt_bayes_particle_storage_mode_POINTER_t) -> None assign(...) assign(self: mrpt.pymrpt.mrpt.bayes.CRejectionSamplingCapable_mrpt_poses_CPose2D_mrpt_bayes_particle_storage_mode_POINTER_t, : mrpt.pymrpt.mrpt.bayes.CRejectionSamplingCapable_mrpt_poses_CPose2D_mrpt_bayes_particle_storage_mode_POINTER_t) -> mrpt.pymrpt.mrpt.bayes.CRejectionSamplingCapable_mrpt_poses_CPose2D_mrpt_bayes_particle_storage_mode_POINTER_t   C++: mrpt::bayes::CRejectionSamplingCapable<mrpt::poses::CPose2D, mrpt::bayes::particle_storage_mode::POINTER>::operator=(const class mrpt::bayes::CRejectionSamplingCapable<class mrpt::poses::CPose2D, mrpt::bayes::particle_storage_mode::POINTER> &) --> class mrpt::bayes::CRejectionSamplingCapable<class mrpt::poses::CPose2D, mrpt::bayes::particle_storage_mode::POINTER> & Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class TKFMethod(pybind11_builtins.pybind11_object)       Method resolution order: TKFMethod pybind11_builtins.pybind11_object builtins.object Methods defined here: __and__(...) __and__(self: object, other: object) -> object __eq__(...) __eq__(self: object, other: object) -> bool __ge__(...) __ge__(self: object, other: object) -> bool __getstate__(...) __getstate__(self: object) -> int __gt__(...) __gt__(self: object, other: object) -> bool __hash__(...) __hash__(self: object) -> int __index__(...) __index__(self: mrpt.pymrpt.mrpt.bayes.TKFMethod) -> int __init__(...) __init__(self: mrpt.pymrpt.mrpt.bayes.TKFMethod, value: int) -> None __int__(...) __int__(self: mrpt.pymrpt.mrpt.bayes.TKFMethod) -> int __invert__(...) __invert__(self: object) -> object __le__(...) __le__(self: object, other: object) -> bool __lt__(...) __lt__(self: object, other: object) -> bool __ne__(...) __ne__(self: object, other: object) -> bool __or__(...) __or__(self: object, other: object) -> object __rand__(...) __rand__(self: object, other: object) -> object __repr__(...) __repr__(self: object) -> str __ror__(...) __ror__(self: object, other: object) -> object __rxor__(...) __rxor__(self: object, other: object) -> object __setstate__(...) __setstate__(self: mrpt.pymrpt.mrpt.bayes.TKFMethod, state: int) -> None __str__ = name(...) name(self: handle) -> str __xor__(...) __xor__(self: object, other: object) -> object Readonly properties defined here: __members__ name name(self: handle) -> str value Data and other attributes defined here: kfEKFAlaDavison = <TKFMethod.kfEKFAlaDavison: 1> kfEKFNaive = <TKFMethod.kfEKFNaive: 0> kfIKF = <TKFMethod.kfIKF: 3> kfIKFFull = <TKFMethod.kfIKFFull: 2> Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class TKF_options(mrpt.pymrpt.mrpt.config.CLoadableOptions)     Generic options for the Kalman Filter algorithm in itself.     Method resolution order: TKF_options mrpt.pymrpt.mrpt.config.CLoadableOptions pybind11_builtins.pybind11_object builtins.object Methods defined here: __init__(...) __init__(*args, **kwargs) Overloaded function.   1. __init__(self: mrpt.pymrpt.mrpt.bayes.TKF_options, verb_level_ref: mrpt.pymrpt.mrpt.system.VerbosityLevel) -> None   2. __init__(self: mrpt.pymrpt.mrpt.bayes.TKF_options, arg0: mrpt.pymrpt.mrpt.bayes.TKF_options) -> None   3. __init__(self: mrpt.pymrpt.mrpt.bayes.TKF_options, arg0: mrpt.pymrpt.mrpt.bayes.TKF_options) -> None loadFromConfigFile(...) loadFromConfigFile(self: mrpt.pymrpt.mrpt.bayes.TKF_options, iniFile: mrpt.pymrpt.mrpt.config.CConfigFileBase, section: str) -> None   C++: mrpt::bayes::TKF_options::loadFromConfigFile(const class mrpt::config::CConfigFileBase &, const std::string &) --> void Data descriptors defined here: IKF_iterations debug_verify_analytic_jacobians debug_verify_analytic_jacobians_threshold enable_profiler method use_analytic_observation_jacobian use_analytic_transition_jacobian Methods inherited from mrpt.pymrpt.mrpt.config.CLoadableOptions: assign(...) assign(self: mrpt.pymrpt.mrpt.config.CLoadableOptions, : mrpt.pymrpt.mrpt.config.CLoadableOptions) -> mrpt.pymrpt.mrpt.config.CLoadableOptions   C++: mrpt::config::CLoadableOptions::operator=(const class mrpt::config::CLoadableOptions &) --> class mrpt::config::CLoadableOptions & dumpToConsole(...) dumpToConsole(self: mrpt.pymrpt.mrpt.config.CLoadableOptions) -> None   Just like  but sending the text to the console  (std::cout)    C++: mrpt::config::CLoadableOptions::dumpToConsole() const --> void loadFromConfigFileName(...) loadFromConfigFileName(self: mrpt.pymrpt.mrpt.config.CLoadableOptions, config_file: str, section: str) -> None   Behaves like loadFromConfigFile, but you can pass directly a file name  and a temporary CConfigFile object will be created automatically to load  the file.      loadFromConfigFile   C++: mrpt::config::CLoadableOptions::loadFromConfigFileName(const std::string &, const std::string &) --> void saveToConfigFile(...) saveToConfigFile(self: mrpt.pymrpt.mrpt.config.CLoadableOptions, target: mrpt::config::CConfigFileBase, section: str) -> None   This method saves the options to a ".ini"-like file or memory-stored  string list.      loadFromConfigFile, saveToConfigFileName   C++: mrpt::config::CLoadableOptions::saveToConfigFile(class mrpt::config::CConfigFileBase &, const std::string &) const --> void saveToConfigFileName(...) saveToConfigFileName(self: mrpt.pymrpt.mrpt.config.CLoadableOptions, config_file: str, section: str) -> None   Behaves like saveToConfigFile, but you can pass directly a file name and  a temporary CConfigFile object will be created automatically to save the  file.      saveToConfigFile, loadFromConfigFileName   C++: mrpt::config::CLoadableOptions::saveToConfigFileName(const std::string &, const std::string &) const --> void Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.   class particle_storage_mode(pybind11_builtins.pybind11_object)       Method resolution order: particle_storage_mode pybind11_builtins.pybind11_object builtins.object Methods defined here: __eq__(...) __eq__(self: object, other: object) -> bool __getstate__(...) __getstate__(self: object) -> int __hash__(...) __hash__(self: object) -> int __index__(...) __index__(self: mrpt.pymrpt.mrpt.bayes.particle_storage_mode) -> int __init__(...) __init__(self: mrpt.pymrpt.mrpt.bayes.particle_storage_mode, value: int) -> None __int__(...) __int__(self: mrpt.pymrpt.mrpt.bayes.particle_storage_mode) -> int __ne__(...) __ne__(self: object, other: object) -> bool __repr__(...) __repr__(self: object) -> str __setstate__(...) __setstate__(self: mrpt.pymrpt.mrpt.bayes.particle_storage_mode, state: int) -> None __str__ = name(...) name(self: handle) -> str Readonly properties defined here: __members__ name name(self: handle) -> str value Data and other attributes defined here: POINTER = <particle_storage_mode.POINTER: 1> VALUE = <particle_storage_mode.VALUE: 0> Static methods inherited from pybind11_builtins.pybind11_object: __new__(*args, **kwargs) from pybind11_builtins.pybind11_type Create and return a new object.  See help(type) for accurate signature.

Data
		kfEKFAlaDavison = <TKFMethod.kfEKFAlaDavison: 1> kfEKFNaive = <TKFMethod.kfEKFNaive: 0> kfIKF = <TKFMethod.kfIKF: 3> kfIKFFull = <TKFMethod.kfIKFFull: 2>