gtsam/python/handwritten/nonlinear/NonlinearFactor.cpp

76 lines
2.8 KiB
C++

/* ----------------------------------------------------------------------------
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
* See LICENSE for the license information
* -------------------------------------------------------------------------- */
/**
* @brief exports virtual class NonlinearFactor to python
* @author Ellon Paiva Mendes (LAAS-CNRS)
**/
#include <boost/python.hpp>
#define NO_IMPORT_ARRAY
#include <numpy_eigen/NumpyEigenConverter.hpp>
#include "gtsam/nonlinear/NonlinearFactor.h"
using namespace boost::python;
using namespace gtsam;
// Wrap around pure virtual class NonlinearFactor.
// All pure virtual methods should be wrapped. Non-pure may be wrapped if we want to mimic the
// overloading through inheritance in Python.
// See: http://www.boost.org/doc/libs/1_59_0/libs/python/doc/tutorial/doc/html/python/exposing.html#python.class_virtual_functions
struct NonlinearFactorWrap : NonlinearFactor, wrapper<NonlinearFactor>
{
double error (const Values & values) const {
return this->get_override("error")(values);
}
size_t dim () const {
return this->get_override("dim")();
}
boost::shared_ptr<GaussianFactor> linearize(const Values & values) const {
return this->get_override("linearize")(values);
}
};
// Similarly for NoiseModelFactor:
struct NoiseModelFactorWrap : NoiseModelFactor, wrapper<NoiseModelFactor> {
// NOTE(frank): Add all these again as I can't figure out how to derive
double error (const Values & values) const {
return this->get_override("error")(values);
}
size_t dim () const {
return this->get_override("dim")();
}
boost::shared_ptr<GaussianFactor> linearize(const Values & values) const {
return this->get_override("linearize")(values);
}
Vector unwhitenedError(const Values& x,
boost::optional<std::vector<Matrix>&> H = boost::none) const {
return this->get_override("unwhitenedError")(x, H);
}
};
void exportNonlinearFactor() {
class_<NonlinearFactorWrap, boost::noncopyable>("NonlinearFactor")
.def("error", pure_virtual(&NonlinearFactor::error))
.def("dim", pure_virtual(&NonlinearFactor::dim))
.def("linearize", pure_virtual(&NonlinearFactor::linearize));
register_ptr_to_python<boost::shared_ptr<NonlinearFactor> >();
class_<NoiseModelFactorWrap, boost::noncopyable>("NoiseModelFactor")
.def("error", pure_virtual(&NoiseModelFactor::error))
.def("dim", pure_virtual(&NoiseModelFactor::dim))
.def("linearize", pure_virtual(&NoiseModelFactor::linearize))
.def("unwhitenedError", pure_virtual(&NoiseModelFactor::unwhitenedError));
register_ptr_to_python<boost::shared_ptr<NoiseModelFactor> >();
}