diff options
Diffstat (limited to 'src/Subsampling/example')
4 files changed, 101 insertions, 0 deletions
diff --git a/src/Subsampling/example/CMakeLists.txt b/src/Subsampling/example/CMakeLists.txt new file mode 100644 index 00000000..54349f0c --- /dev/null +++ b/src/Subsampling/example/CMakeLists.txt @@ -0,0 +1,20 @@ +cmake_minimum_required(VERSION 2.6) +project(Subsampling_examples) + +if(CGAL_FOUND) + if (NOT CGAL_VERSION VERSION_LESS 4.8.1) + if (EIGEN3_FOUND) + add_executable(Subsampling_example_pick_n_random_points example_pick_n_random_points.cpp) + add_executable(Subsampling_example_choose_n_farthest_points example_choose_n_farthest_points.cpp) + add_executable(Subsampling_example_sparsify_point_set example_sparsify_point_set.cpp) + target_link_libraries(Subsampling_example_sparsify_point_set ${CGAL_LIBRARY}) + + add_test(Subsampling_example_pick_n_random_points + ${CMAKE_CURRENT_BINARY_DIR}/Subsampling_example_pick_n_random_points) + add_test(Subsampling_example_choose_n_farthest_points + ${CMAKE_CURRENT_BINARY_DIR}/Subsampling_example_choose_n_farthest_points) + add_test(Subsampling_example_sparsify_point_set + ${CMAKE_CURRENT_BINARY_DIR}/Subsampling_example_sparsify_point_set) + endif() + endif () +endif() diff --git a/src/Subsampling/example/example_choose_n_farthest_points.cpp b/src/Subsampling/example/example_choose_n_farthest_points.cpp new file mode 100644 index 00000000..533aba74 --- /dev/null +++ b/src/Subsampling/example/example_choose_n_farthest_points.cpp @@ -0,0 +1,27 @@ +#include <gudhi/choose_n_farthest_points.h> + +#include <CGAL/Epick_d.h> +#include <CGAL/Random.h> + +#include <vector> +#include <iterator> + +int main(void) { + typedef CGAL::Epick_d<CGAL::Dimension_tag<4> > K; + typedef typename K::Point_d Point_d; + + CGAL::Random rd; + + std::vector<Point_d> points; + for (int i = 0; i < 500; ++i) + points.push_back(Point_d(rd.get_double(-1., 1), rd.get_double(-1., 1), + rd.get_double(-1., 1), rd.get_double(-1., 1))); + + K k; + std::vector<Point_d> results; + Gudhi::subsampling::choose_n_farthest_points(k, points, 100, std::back_inserter(results)); + std::cout << "Before sparsification: " << points.size() << " points.\n"; + std::cout << "After sparsification: " << results.size() << " points.\n"; + + return 0; +} diff --git a/src/Subsampling/example/example_pick_n_random_points.cpp b/src/Subsampling/example/example_pick_n_random_points.cpp new file mode 100644 index 00000000..1e38e405 --- /dev/null +++ b/src/Subsampling/example/example_pick_n_random_points.cpp @@ -0,0 +1,27 @@ +#include <gudhi/pick_n_random_points.h> + +#include <CGAL/Epick_d.h> +#include <CGAL/Random.h> + +#include <vector> +#include <iterator> + +int main(void) { + typedef CGAL::Epick_d<CGAL::Dimension_tag<4> > K; + typedef typename K::Point_d Point_d; + + CGAL::Random rd; + + std::vector<Point_d> points; + for (int i = 0; i < 500; ++i) + points.push_back(Point_d(rd.get_double(-1., 1), rd.get_double(-1., 1), + rd.get_double(-1., 1), rd.get_double(-1., 1))); + + K k; + std::vector<Point_d> results; + Gudhi::subsampling::pick_n_random_points(points, 100, std::back_inserter(results)); + std::cout << "Before sparsification: " << points.size() << " points.\n"; + std::cout << "After sparsification: " << results.size() << " points.\n"; + + return 0; +} diff --git a/src/Subsampling/example/example_sparsify_point_set.cpp b/src/Subsampling/example/example_sparsify_point_set.cpp new file mode 100644 index 00000000..b35a18d9 --- /dev/null +++ b/src/Subsampling/example/example_sparsify_point_set.cpp @@ -0,0 +1,27 @@ +#include <gudhi/sparsify_point_set.h> + +#include <CGAL/Epick_d.h> +#include <CGAL/Random.h> + +#include <vector> +#include <iterator> + +int main(void) { + typedef CGAL::Epick_d<CGAL::Dimension_tag<4> > K; + typedef typename K::Point_d Point_d; + + CGAL::Random rd; + + std::vector<Point_d> points; + for (int i = 0; i < 500; ++i) + points.push_back(Point_d(rd.get_double(-1., 1), rd.get_double(-1., 1), + rd.get_double(-1., 1), rd.get_double(-1., 1))); + + K k; + std::vector<Point_d> results; + Gudhi::subsampling::sparsify_point_set(k, points, 0.4, std::back_inserter(results)); + std::cout << "Before sparsification: " << points.size() << " points.\n"; + std::cout << "After sparsification: " << results.size() << " points.\n"; + + return 0; +} |