matches.cpp

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#include "matches.h"
 
namespace python
{
        namespace pointmatcher
        {
                void pybindMatches(py::class_<PM>& p_class)
                {
                        py::class_<Matches> pyMatches(p_class, "Matches");
 
                        pyMatches.doc() = R"pbdoc(
Result of the data-association step (Matcher::findClosests), before outlier rejection.
 
This class holds a list of associated reference identifiers, along with the corresponding \e squared distance, for all points in the reading.
A single point in the reading can have one or multiple matches.
)pbdoc";
 
                        using Dists = Matches::Dists;
                        using Ids = Matches::Ids;
 
                        pyMatches
//                      .def_readonly_static("InvalidId", &Matches::InvalidId, "In case of too few matches the ids are filled with InvalidId") FIXME
//                      .def_readonly_static("InvalidDist", &Matches::InvalidDist, "In case of too few matches the dists are filled with InvalidDist") FIXME
 
                                .def(py::init<>()).def(py::init<const Dists&, const Ids>(), py::arg("dists"), py::arg("ids"))
                                .def(py::init<const int, const int>(), py::arg("knn"), py::arg("pointsCount"))
 
                                .def_readwrite("dists", &Matches::dists, "squared distances to closest points")
                                .def_readwrite("ids", &Matches::ids, "identifiers of closest points")
 
                                .def("getDistsQuantile", &Matches::getDistsQuantile, py::arg("quantile"))
                                .def("getMedianAbsDeviation", &Matches::getMedianAbsDeviation)
                                .def("getStandardDeviation", &Matches::getStandardDeviation);
                }
        }
}