Download vendor/libigl/tests/include/igl/fast_winding_number.cpp from AVSim/simulation-package: direct link, hf CLI and curl.
- Browser
- Download file 3.17 kB
-
https://huggingface.co/datasets/AVSim/simulation-package/resolve/main/vendor/libigl/tests/include/igl/fast_winding_number.cpp
- Command line
-
hf download hf://datasets/AVSim/simulation-package/vendor/libigl/tests/include/igl/fast_winding_number.cpp
-
curl -L -o fast_winding_number.cpp https://huggingface.co/datasets/AVSim/simulation-package/resolve/main/vendor/libigl/tests/include/igl/fast_winding_number.cpp
3.17 kB
| // This file is part of libigl, a simple c++ geometry processing library. | |
| // | |
| // Copyright (C) 2019 Alec Jacobson <alecjacobson@gmail.com> | |
| // | |
| // This Source Code Form is subject to the terms of the Mozilla Public License | |
| // v. 2.0. If a copy of the MPL was not distributed with this file, You can | |
| // obtain one at http://mozilla.org/MPL/2.0/. | |
| TEST_CASE("fast_winding_number: one_point_cloud", "[igl]") | |
| { | |
| Eigen::MatrixXd P(1,3); | |
| P<<0.1,0.2,0.3; | |
| // Unit normal | |
| Eigen::MatrixXd N(1,3); | |
| N<<4,5,6; | |
| N /= N.row(0).norm(); | |
| Eigen::VectorXd A(1,1); | |
| A(0) = 0.7; | |
| std::vector<std::vector<int > > O_PI; | |
| Eigen::MatrixXi O_CH; | |
| Eigen::MatrixXd O_CN; | |
| Eigen::VectorXd O_W; | |
| igl::octree(P,O_PI,O_CH,O_CN,O_W); | |
| Eigen::MatrixXd O_CM; | |
| Eigen::VectorXd O_R; | |
| Eigen::MatrixXd O_EC; | |
| igl::fast_winding_number(P,N,A,O_PI,O_CH,2,O_CM,O_R,O_EC); | |
| Eigen::MatrixXd Q(4,3); | |
| Q<< | |
| 0, 0, 0, | |
| 4,-3, 2, | |
| -1, 1, 3, | |
| 0, 5,-2; | |
| Eigen::VectorXd WiP; | |
| igl::fast_winding_number(P,N,A,O_PI,O_CH,O_CM,O_R,O_EC,Q,2,WiP); | |
| Eigen::VectorXd WiP_cached(4); | |
| WiP_cached<< | |
| 0.38779369004261133, | |
| -0.00041235296362485, | |
| -0.00362978253577090, | |
| -0.00041235296362485; | |
| test_common::assert_near(WiP,WiP_cached,1e-15); | |
| } | |
| TEST_CASE("fast_winding_number: meshes", "[igl]" "[slow]") | |
| { | |
| const auto test_case = [](const std::string ¶m) | |
| { | |
| INFO(param); | |
| Eigen::MatrixXd V; | |
| Eigen::MatrixXi F; | |
| igl::read_triangle_mesh(test_common::data_path(param),V,F); | |
| // vertex centroid will be our query | |
| Eigen::MatrixXd Q = V.array().colwise().mean(); | |
| Eigen::VectorXd Wexact(1,1); | |
| Wexact(0,0) = igl::winding_number(V,F,Eigen::RowVector3d(Q)); | |
| // SOUP | |
| { | |
| INFO("soup"); | |
| igl::FastWindingNumberBVH fwn_bvh; | |
| igl::fast_winding_number(V,F,2,fwn_bvh); | |
| Eigen::VectorXd Wfwn_soup; | |
| igl::fast_winding_number(fwn_bvh,2,Q,Wfwn_soup); | |
| test_common::assert_near(Wfwn_soup,Wexact,1e-2); | |
| } | |
| // CLOUD | |
| // triangle barycenters, normals and areas will be our point cloud | |
| { | |
| INFO("cloud"); | |
| Eigen::MatrixXd BC,N; | |
| Eigen::VectorXd A; | |
| igl::barycenter(V,F,BC); | |
| igl::per_face_normals(V,F,N); | |
| igl::doublearea(V,F,A); | |
| A *= 0.5; | |
| Eigen::VectorXd Wfwn_cloud; | |
| std::vector<std::vector<int > > O_PI; | |
| Eigen::MatrixXi O_CH; | |
| Eigen::MatrixXd O_CN; | |
| Eigen::VectorXd O_W; | |
| igl::octree(BC,O_PI,O_CH,O_CN,O_W); | |
| Eigen::MatrixXd O_CM; | |
| Eigen::VectorXd O_R; | |
| Eigen::MatrixXd O_EC; | |
| igl::fast_winding_number(BC,N,A,O_PI,O_CH,2,O_CM,O_R,O_EC); | |
| igl::fast_winding_number(BC,N,A,O_PI,O_CH,O_CM,O_R,O_EC,Q,2,Wfwn_cloud); | |
| test_common::assert_near(Wfwn_cloud,Wexact,1e-2); | |
| } | |
| }; | |
| // FWN clouds using barycenters won't work well for very coarse models like the cube | |
| test_common::run_test_cases<std::string>( | |
| {"bunny.off", "elephant.off", "hemisphere.obj"}, | |
| test_case); | |
| } | |