// // Software License Agreement (BSD License) // // Copyright (c) 2019 CNRS-LAAS INRIA // Author: Joseph Mirabel // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions // are met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following // disclaimer in the documentation and/or other materials provided // with the distribution. // * Neither the name of CNRS-LAAS. nor the names of its // contributors may be used to endorse or promote products derived // from this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS // FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE // COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, // INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, // BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; // LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER // CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT // LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN // ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE // POSSIBILITY OF SUCH DAMAGE. #include <boost/python.hpp> #include <boost/python/suite/indexing/vector_indexing_suite.hpp> #include <eigenpy/registration.hpp> #include "fcl.hh" #include <hpp/fcl/fwd.hh> #include <hpp/fcl/distance.h> using namespace boost::python; using namespace hpp::fcl; struct DistanceRequestWrapper { static Vec3f getNearestPoint1(const DistanceResult & res) { return res.nearest_points[0]; } static Vec3f getNearestPoint2(const DistanceResult & res) { return res.nearest_points[1]; } }; void exposeDistanceAPI () { if(!eigenpy::register_symbolic_link_to_registered_type<DistanceRequest>()) { class_ <DistanceRequest> ("DistanceRequest", init<optional<bool,FCL_REAL,FCL_REAL> >()) .def_readwrite ("enable_nearest_points", &DistanceRequest::enable_nearest_points) .def_readwrite ("rel_err" , &DistanceRequest::rel_err) .def_readwrite ("abs_err" , &DistanceRequest::abs_err) ; } if(!eigenpy::register_symbolic_link_to_registered_type<DistanceResult>()) { class_ <DistanceResult> ("DistanceResult", init<>()) .def_readwrite ("min_distance", &DistanceResult::min_distance) .def_readwrite ("normal", &DistanceResult::normal) //.def_readwrite ("nearest_points", &DistanceResult::nearest_points) .def("getNearestPoint1",&DistanceRequestWrapper::getNearestPoint1) .def("getNearestPoint2",&DistanceRequestWrapper::getNearestPoint2) .def_readonly ("o1", &DistanceResult::o1) .def_readonly ("o2", &DistanceResult::o2) .def_readwrite ("b1", &DistanceResult::b1) .def_readwrite ("b2", &DistanceResult::b2) .def ("clear", &DistanceResult::clear) ; } if(!eigenpy::register_symbolic_link_to_registered_type< std::vector<DistanceResult> >()) { class_< std::vector<DistanceResult> >("StdVec_DistanceResult") .def(vector_indexing_suite< std::vector<DistanceResult> >()) ; } def ("distance", static_cast< FCL_REAL (*)(const CollisionObject*, const CollisionObject*, const DistanceRequest&, DistanceResult&) > (&distance)); def ("distance", static_cast< FCL_REAL (*)( const CollisionGeometry*, const Transform3f&, const CollisionGeometry*, const Transform3f&, const DistanceRequest&, DistanceResult&) > (&distance)); }