NearestNeighbourSearch(const object pycloud, const SearchType searchType = NNSNabo::KDTREE_LINEAR_HEAP, const Index dim = maxI, const dict params = dict())
{
// build cloud
eigenFromBoostPython(cloud, pycloud, "cloud");
// build params
Nabo::Parameters _params;
object it = params.iteritems();
for(int i = 0; i < len(params); ++i)
{
const tuple item(it.attr("next")());
const std::string key = extract<std::string>(item[0]);
const object val(item[1]);
const std::string valType(val.ptr()->ob_type->tp_name);
if (valType == "int")
{
const int iVal = extract<int>(val);
if (iVal >= 0)
_params[key] = (unsigned)iVal;
else
_params[key] = iVal;
}
}
// create search
nns = NNSNabo ::create(cloud, dim, searchType, 0, _params);
}
inline std::map<T1, T2> dict_to_map(const dict& d) {
std::map<T1, T2> result;
stl_input_iterator<tuple> begin(d.iteritems()), end;
std::transform(begin, end, map_inserter(result),
boost::bind(tuple_to_pair<T1, T2>(), _1));
return result;
}