switched to MatrixXd for all wrappers, updated pybind11
Former-commit-id: 332266c090
This commit is contained in:
Executable
+24
@@ -0,0 +1,24 @@
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import igl
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V = igl.eigen.MatrixXd()
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F = igl.eigen.MatrixXi()
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C = igl.eigen.MatrixXd()
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# Load a mesh in OFF format
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igl.readOFF("../tutorial/shared/screwdriver.off", V, F)
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# Plot the mesh
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viewer = igl.viewer.Viewer()
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viewer.data.set_mesh(V, F)
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# Use the z coordinate as a scalar field over the surface
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Z = V.col(2);
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# Compute per-vertex colors
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igl.jet(Z,True,C)
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# Add per-vertex colors
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viewer.data.set_colors(C)
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# Launch the viewer
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viewer.launch()
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@@ -6,7 +6,7 @@ F = igl.eigen.MatrixXi()
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igl.readOFF("../tutorial/shared/bumpy.off",V,F);
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# Compute Gaussian curvature
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K = igl.eigen.VectorXd();
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K = igl.eigen.MatrixXd();
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igl.gaussian_curvature(V,F,K);
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print("igl::gaussian_curvature: \n", K, sep='')
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@@ -2,7 +2,7 @@ m.def("gaussian_curvature", []
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(
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const Eigen::MatrixXd& V,
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const Eigen::MatrixXi& F,
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Eigen::VectorXd& K
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Eigen::MatrixXd& K
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)
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{
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return igl::gaussian_curvature(V,F,K);
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@@ -1,10 +1,11 @@
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m.def("jet", []
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(
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const Eigen::VectorXd& Z,
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const Eigen::MatrixXd& Z,
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const bool normalize,
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Eigen::MatrixXd& C
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)
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{
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assert_is_VectorXd("Z",Z);
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return igl::jet(Z,normalize,C);
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}, __doc_igl_jet,
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py::arg("Z"), py::arg("normalize"), py::arg("C"));
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@@ -1,22 +1,24 @@
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m.def("parula", []
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(
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const Eigen::VectorXd& Z,
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const Eigen::MatrixXd& Z,
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const bool normalize,
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Eigen::MatrixXd& C
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)
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{
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assert_is_VectorXd("Z",Z);
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return igl::parula(Z,normalize,C);
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}, __doc_igl_parula,
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py::arg("Z"), py::arg("normalize"), py::arg("C"));
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m.def("parula", []
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(
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const Eigen::VectorXd& Z,
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const Eigen::MatrixXd& Z,
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const double min_Z,
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const double max_Z,
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Eigen::MatrixXd& C
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)
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{
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assert_is_VectorXd("Z",Z);
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return igl::parula(Z,min_Z,max_Z,C);
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}, __doc_igl_parula,
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py::arg("Z"), py::arg("min_Z"), py::arg("max_Z"), py::arg("C"));
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@@ -2,10 +2,11 @@ m.def("per_face_normals", []
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(
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const Eigen::MatrixXd& V,
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const Eigen::MatrixXi& F,
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const Eigen::VectorXd& Z,
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const Eigen::MatrixXd& Z,
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Eigen::MatrixXd& N
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)
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{
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assert_is_VectorXd("Z",Z);
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return igl::per_face_normals(V,F,Z,N);
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}, __doc_igl_per_face_normals,
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py::arg("V"), py::arg("F"), py::arg("Z"), py::arg("N"));
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@@ -4,8 +4,8 @@ m.def("principal_curvature", []
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const Eigen::MatrixXi& F,
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Eigen::MatrixXd& PD1,
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Eigen::MatrixXd& PD2,
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Eigen::VectorXd& PV1,
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Eigen::VectorXd& PV2,
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Eigen::MatrixXd& PV1,
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Eigen::MatrixXd& PV2,
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unsigned radius,
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bool useKring
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)
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@@ -11,23 +11,119 @@ void python_export_igl_viewer(py::module &m)
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py::module me = m.def_submodule(
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"viewer", "Mesh viewer");
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/////////////////////// DATA
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py::class_<igl::viewer::ViewerData> viewerdata_class(me, "ViewerData");
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viewerdata_class
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.def(py::init<>())
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.def("set_mesh", &igl::viewer::ViewerData::set_mesh)
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.def("set_colors", &igl::viewer::ViewerData::set_colors)
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.def("clear", &igl::viewer::ViewerData::clear)
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;
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//////////////////////// CORE
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py::class_<igl::viewer::ViewerCore> viewercore_class(me, "ViewerCore");
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viewercore_class
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.def(py::init<>())
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//.def("align_camera_center", [](igl::viewer::ViewerCore& core, const Eigen::MatrixXd& V, const Eigen::MatrixXi& F){return core.align_camera_center(V,F);})
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.def("init", &igl::viewer::ViewerCore::init)
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.def("shut", &igl::viewer::ViewerCore::shut)
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//.def("InitSerialization", &igl::viewer::ViewerCore::InitSerialization)
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.def("align_camera_center",
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(void (igl::viewer::ViewerCore::*) (const Eigen::MatrixXd &, const Eigen::MatrixXi &)) &igl::viewer::ViewerCore::align_camera_center
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)
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.def("init", &igl::viewer::ViewerCore::init)
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.def("align_camera_center",
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(void (igl::viewer::ViewerCore::*) (const Eigen::MatrixXd &)) &igl::viewer::ViewerCore::align_camera_center
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)
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.def("clear_framebuffers",&igl::viewer::ViewerCore::clear_framebuffers)
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.def("draw",&igl::viewer::ViewerCore::draw)
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.def("draw_buffer",&igl::viewer::ViewerCore::draw_buffer)
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.def_readwrite("textrenderer",&igl::viewer::ViewerCore::textrenderer)
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.def_readwrite("shininess",&igl::viewer::ViewerCore::shininess)
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.def_property("background_color",
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[](const igl::viewer::ViewerCore& core) {return Eigen::MatrixXd(core.background_color);},
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[](igl::viewer::ViewerCore& core, const Eigen::MatrixXd& v)
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{
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assert_is_Vector3d("background_color",v);
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core.background_color = Vector3f(v.cast<float>());
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})
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// // Colors
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// Eigen::Vector3f background_color;
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// Eigen::Vector3f line_color;
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//
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// // Lighting
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// Eigen::Vector3f light_position;
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// float lighting_factor;
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//
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// // Trackball angle (quaternion)
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// enum RotationType
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// {
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// ROTATION_TYPE_TRACKBALL = 0,
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// ROTATION_TYPE_TWO_AXIS_VALUATOR_FIXED_UP = 1,
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// NUM_ROTATION_TYPES = 2
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// } rotation_type;
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// Eigen::Quaternionf trackball_angle;
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//
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// // Model viewing parameters
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// float model_zoom;
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// Eigen::Vector3f model_translation;
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//
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// // Model viewing paramters (uv coordinates)
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// float model_zoom_uv;
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// Eigen::Vector3f model_translation_uv;
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//
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// // Camera parameters
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// float camera_zoom;
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// bool orthographic;
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// Eigen::Vector3f camera_eye;
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// Eigen::Vector3f camera_up;
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// Eigen::Vector3f camera_center;
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// float camera_view_angle;
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// float camera_dnear;
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// float camera_dfar;
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//
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// // Visualization options
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// bool show_overlay;
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// bool show_overlay_depth;
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// bool show_texture;
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// bool show_faces;
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// bool show_lines;
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// bool show_vertid;
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// bool show_faceid;
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// bool invert_normals;
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// bool depth_test;
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//
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// // Point size / line width
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// float point_size;
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// float line_width;
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//
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// // Animation
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// bool is_animating;
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// double animation_max_fps;
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//
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// // Caches the two-norm between the min/max point of the bounding box
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// float object_scale;
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//
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// // Viewport size
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// Eigen::Vector4f viewport;
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//
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// // Save the OpenGL transformation matrices used for the previous rendering pass
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// Eigen::Matrix4f view;
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// Eigen::Matrix4f model;
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// Eigen::Matrix4f proj;
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///
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;
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///////////////////////// VIEWER
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py::class_<igl::viewer::Viewer>(me, "Viewer")
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.def(py::init<>())
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.def_readwrite("data", &igl::viewer::Viewer::data)
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+254
-241
@@ -3,223 +3,223 @@
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#include "python.h"
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template <typename Type> void init_fixed_from_buffer_3(Type &v, py::buffer &b) {
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typedef typename Type::Scalar Scalar;
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py::buffer_info info = b.request();
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if (info.format != py::format_descriptor<Scalar>::value())
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throw std::runtime_error("Incompatible buffer format!");
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if (!((info.ndim == 1 && info.strides[0] == sizeof(Scalar)) ||
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(info.ndim == 2 &&
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((info.shape[0] == 1 && info.strides[0] == sizeof(Scalar) &&
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info.shape[1] == 3) ||
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(info.shape[1] == 1 && info.strides[1] == sizeof(Scalar) &&
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info.shape[0] == 3)))))
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throw std::runtime_error("Incompatible buffer dimension!");
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memcpy(v.data(), info.ptr, sizeof(Scalar) * 3);
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}
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/// Creates Python bindings for an Eigen order-1 tensor of size 3 (i.e. a vector/normal/point)
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template <typename Type>
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py::class_<Type> bind_eigen_1_3(py::module &m, const char *name,
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py::object parent = py::object()) {
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typedef typename Type::Scalar Scalar;
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py::class_<Type> vector(m, name, parent);
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vector
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/* Constructors */
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.def(py::init<>())
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.def(py::init<Scalar>())
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.def(py::init<Scalar, Scalar, Scalar>())
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.def("__init__", [](Type &v, const std::vector<Scalar> &v2) {
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if (v2.size() != 3)
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throw std::runtime_error("Incompatible size!");
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memcpy(v.data(), &v2[0], sizeof(Scalar) * 3);
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})
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.def("__init__", [](Type &v, py::buffer b) {
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init_fixed_from_buffer_3(v, b);
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})
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/* Initialization */
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.def("setConstant", [](Type &m, Scalar value) { m.setConstant(value); })
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.def("setZero", [](Type &m) { m.setZero(); })
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/* Arithmetic operators (def_cast forcefully casts the result back to a
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Matrix to avoid type issues with Eigen's crazy expression templates) */
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.def_cast(-py::self)
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.def_cast(py::self + py::self)
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.def_cast(py::self - py::self)
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.def_cast(py::self * Scalar())
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.def_cast(py::self / Scalar())
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.def_cast(py::self += py::self)
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.def_cast(py::self -= py::self)
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.def_cast(py::self *= Scalar())
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.def_cast(py::self /= Scalar())
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/* Comparison operators */
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.def(py::self == py::self)
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.def(py::self != py::self)
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/* Python protocol implementations */
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.def("__len__", [](const Type &) { return (int) 3; })
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.def("__repr__", [](const Type &v) {
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std::ostringstream oss;
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oss << v;
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return oss.str();
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})
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.def("__getitem__", [](const Type &c, int i) {
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if (i < 0 || i >= 3)
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throw py::index_error();
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return c[i];
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})
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.def("__setitem__", [](Type &c, int i, Scalar v) {
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if (i < 0 || i >= 3)
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throw py::index_error();
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c[i] = v;
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})
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/* Buffer access for interacting with NumPy */
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.def_buffer([](Type &m) -> py::buffer_info {
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return py::buffer_info(
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m.data(), /* Pointer to buffer */
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sizeof(Scalar), /* Size of one scalar */
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/* Python struct-style format descriptor */
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py::format_descriptor<Scalar>::value(),
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1, { (size_t) 3 },
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{ sizeof(Scalar) }
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);
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});
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return vector;
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}
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/// Creates Python bindings for a dynamic Eigen order-1 tensor (i.e. a vector)
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template <typename Type>
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py::class_<Type> bind_eigen_1(py::module &m, const char *name,
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py::object parent = py::object()) {
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typedef typename Type::Scalar Scalar;
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/* Many Eigen functions are templated and can't easily be referenced using
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a function pointer, thus a big portion of the binding code below
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instantiates Eigen code using small anonymous wrapper functions */
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py::class_<Type> vector(m, name, parent);
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vector
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/* Constructors */
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.def(py::init<>())
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.def(py::init<size_t>())
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.def("__init__", [](Type &v, const std::vector<Scalar> &v2) {
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new (&v) Type(v2.size());
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memcpy(v.data(), &v2[0], sizeof(Scalar) * v2.size());
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})
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.def("__init__", [](Type &v, py::buffer b) {
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py::buffer_info info = b.request();
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if (info.format != py::format_descriptor<Scalar>::value()) {
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throw std::runtime_error("Incompatible buffer format!");
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} else if (info.ndim == 1 && info.strides[0] == sizeof(Scalar)) {
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new (&v) Type(info.shape[0]);
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memcpy(v.data(), info.ptr, sizeof(Scalar) * info.shape[0]);
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} else if (info.ndim == 2 && ((info.shape[0] == 1 && info.strides[0] == sizeof(Scalar))
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|| (info.shape[1] == 1 && info.strides[1] == sizeof(Scalar)))) {
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new (&v) Type(info.shape[0] * info.shape[1]);
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memcpy(v.data(), info.ptr, sizeof(Scalar) * info.shape[0] * info.shape[1]);
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} else {
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throw std::runtime_error("Incompatible buffer dimension!");
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}
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})
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/* Size query functions */
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.def("size", [](const Type &m) { return m.size(); })
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.def("cols", [](const Type &m) { return m.cols(); })
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.def("rows", [](const Type &m) { return m.rows(); })
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/* Initialization */
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.def("setZero", [](Type &m) { m.setZero(); })
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.def("setConstant", [](Type &m, Scalar value) { m.setConstant(value); })
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/* Resizing */
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.def("resize", [](Type &m, size_t s0) { m.resize(s0); })
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.def("resizeLike", [](Type &m, const Type &m2) { m.resizeLike(m2); })
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.def("conservativeResize", [](Type &m, size_t s0) { m.conservativeResize(s0); })
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/* Component-wise operations */
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.def("cwiseAbs", &Type::cwiseAbs)
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.def("cwiseAbs2", &Type::cwiseAbs2)
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.def("cwiseSqrt", &Type::cwiseSqrt)
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.def("cwiseInverse", &Type::cwiseInverse)
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.def("cwiseMin", [](const Type &m1, const Type &m2) -> Type { return m1.cwiseMin(m2); })
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.def("cwiseMax", [](const Type &m1, const Type &m2) -> Type { return m1.cwiseMax(m2); })
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.def("cwiseMin", [](const Type &m1, Scalar s) -> Type { return m1.cwiseMin(s); })
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.def("cwiseMax", [](const Type &m1, Scalar s) -> Type { return m1.cwiseMax(s); })
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.def("cwiseProduct", [](const Type &m1, const Type &m2) -> Type { return m1.cwiseProduct(m2); })
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.def("cwiseQuotient", [](const Type &m1, const Type &m2) -> Type { return m1.cwiseQuotient(m2); })
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/* Arithmetic operators (def_cast forcefully casts the result back to a
|
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Type to avoid type issues with Eigen's crazy expression templates) */
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.def_cast(-py::self)
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.def_cast(py::self + py::self)
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.def_cast(py::self - py::self)
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.def_cast(py::self * Scalar())
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.def_cast(py::self / Scalar())
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.def("__rmul__", [](const Type& a, const Scalar& b)
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{
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return Type(b * a);
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})
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/* Arithmetic in-place operators */
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.def_cast(py::self += py::self)
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.def_cast(py::self -= py::self)
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.def_cast(py::self *= py::self)
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.def_cast(py::self *= Scalar())
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.def_cast(py::self /= Scalar())
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/* Comparison operators */
|
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.def(py::self == py::self)
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.def(py::self != py::self)
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|
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/* Python protocol implementations */
|
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.def("__repr__", [](const Type &v) {
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std::ostringstream oss;
|
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oss << v.transpose();
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return oss.str();
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})
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.def("__getitem__", [](const Type &m, size_t i) {
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if (i >= (size_t) m.size())
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throw py::index_error();
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return m[i];
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})
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.def("__setitem__", [](Type &m, size_t i, Scalar v) {
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if (i >= (size_t) m.size())
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throw py::index_error();
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m[i] = v;
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})
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|
||||
/* Buffer access for interacting with NumPy */
|
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.def_buffer([](Type &m) -> py::buffer_info {
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return py::buffer_info(
|
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m.data(), /* Pointer to buffer */
|
||||
sizeof(Scalar), /* Size of one scalar */
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||||
/* Python struct-style format descriptor */
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||||
py::format_descriptor<Scalar>::value(),
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1, /* Number of dimensions */
|
||||
{ (size_t) m.size() }, /* Buffer dimensions */
|
||||
{ sizeof(Scalar) } /* Strides (in bytes) for each index */
|
||||
);
|
||||
})
|
||||
|
||||
/* Static initializers */
|
||||
.def_static("Zero", [](size_t n) { return Type(Type::Zero(n)); })
|
||||
.def_static("Ones", [](size_t n) { return Type(Type::Ones(n)); })
|
||||
.def_static("Constant", [](size_t n, Scalar value) { return Type(Type::Constant(n, value)); })
|
||||
.def("MapMatrix", [](const Type& m, size_t r, size_t c)
|
||||
{
|
||||
return Eigen::Matrix<Scalar,Eigen::Dynamic,Eigen::Dynamic>(Eigen::Map<const Eigen::Matrix<Scalar,Eigen::Dynamic,Eigen::Dynamic>>(m.data(),r,c));
|
||||
})
|
||||
;
|
||||
return vector;
|
||||
}
|
||||
// template <typename Type> void init_fixed_from_buffer_3(Type &v, py::buffer &b) {
|
||||
// typedef typename Type::Scalar Scalar;
|
||||
//
|
||||
// py::buffer_info info = b.request();
|
||||
// if (info.format != py::format_descriptor<Scalar>::value())
|
||||
// throw std::runtime_error("Incompatible buffer format!");
|
||||
// if (!((info.ndim == 1 && info.strides[0] == sizeof(Scalar)) ||
|
||||
// (info.ndim == 2 &&
|
||||
// ((info.shape[0] == 1 && info.strides[0] == sizeof(Scalar) &&
|
||||
// info.shape[1] == 3) ||
|
||||
// (info.shape[1] == 1 && info.strides[1] == sizeof(Scalar) &&
|
||||
// info.shape[0] == 3)))))
|
||||
// throw std::runtime_error("Incompatible buffer dimension!");
|
||||
//
|
||||
// memcpy(v.data(), info.ptr, sizeof(Scalar) * 3);
|
||||
// }
|
||||
//
|
||||
// /// Creates Python bindings for an Eigen order-1 tensor of size 3 (i.e. a vector/normal/point)
|
||||
// template <typename Type>
|
||||
// py::class_<Type> bind_eigen_1_3(py::module &m, const char *name,
|
||||
// py::object parent = py::object()) {
|
||||
// typedef typename Type::Scalar Scalar;
|
||||
//
|
||||
// py::class_<Type> vector(m, name, parent);
|
||||
// vector
|
||||
// /* Constructors */
|
||||
// .def(py::init<>())
|
||||
// .def(py::init<Scalar>())
|
||||
// .def(py::init<Scalar, Scalar, Scalar>())
|
||||
// .def("__init__", [](Type &v, const std::vector<Scalar> &v2) {
|
||||
// if (v2.size() != 3)
|
||||
// throw std::runtime_error("Incompatible size!");
|
||||
// memcpy(v.data(), &v2[0], sizeof(Scalar) * 3);
|
||||
// })
|
||||
// .def("__init__", [](Type &v, py::buffer b) {
|
||||
// init_fixed_from_buffer_3(v, b);
|
||||
// })
|
||||
//
|
||||
// /* Initialization */
|
||||
// .def("setConstant", [](Type &m, Scalar value) { m.setConstant(value); })
|
||||
// .def("setZero", [](Type &m) { m.setZero(); })
|
||||
//
|
||||
// /* Arithmetic operators (def_cast forcefully casts the result back to a
|
||||
// Matrix to avoid type issues with Eigen's crazy expression templates) */
|
||||
// .def_cast(-py::self)
|
||||
// .def_cast(py::self + py::self)
|
||||
// .def_cast(py::self - py::self)
|
||||
// .def_cast(py::self * Scalar())
|
||||
// .def_cast(py::self / Scalar())
|
||||
// .def_cast(py::self += py::self)
|
||||
// .def_cast(py::self -= py::self)
|
||||
// .def_cast(py::self *= Scalar())
|
||||
// .def_cast(py::self /= Scalar())
|
||||
//
|
||||
// /* Comparison operators */
|
||||
// .def(py::self == py::self)
|
||||
// .def(py::self != py::self)
|
||||
//
|
||||
// /* Python protocol implementations */
|
||||
// .def("__len__", [](const Type &) { return (int) 3; })
|
||||
// .def("__repr__", [](const Type &v) {
|
||||
// std::ostringstream oss;
|
||||
// oss << v;
|
||||
// return oss.str();
|
||||
// })
|
||||
// .def("__getitem__", [](const Type &c, int i) {
|
||||
// if (i < 0 || i >= 3)
|
||||
// throw py::index_error();
|
||||
// return c[i];
|
||||
// })
|
||||
// .def("__setitem__", [](Type &c, int i, Scalar v) {
|
||||
// if (i < 0 || i >= 3)
|
||||
// throw py::index_error();
|
||||
// c[i] = v;
|
||||
// })
|
||||
//
|
||||
// /* Buffer access for interacting with NumPy */
|
||||
// .def_buffer([](Type &m) -> py::buffer_info {
|
||||
// return py::buffer_info(
|
||||
// m.data(), /* Pointer to buffer */
|
||||
// sizeof(Scalar), /* Size of one scalar */
|
||||
// /* Python struct-style format descriptor */
|
||||
// py::format_descriptor<Scalar>::value(),
|
||||
// 1, { (size_t) 3 },
|
||||
// { sizeof(Scalar) }
|
||||
// );
|
||||
// });
|
||||
// return vector;
|
||||
// }
|
||||
//
|
||||
// /// Creates Python bindings for a dynamic Eigen order-1 tensor (i.e. a vector)
|
||||
// template <typename Type>
|
||||
// py::class_<Type> bind_eigen_1(py::module &m, const char *name,
|
||||
// py::object parent = py::object()) {
|
||||
// typedef typename Type::Scalar Scalar;
|
||||
//
|
||||
// /* Many Eigen functions are templated and can't easily be referenced using
|
||||
// a function pointer, thus a big portion of the binding code below
|
||||
// instantiates Eigen code using small anonymous wrapper functions */
|
||||
// py::class_<Type> vector(m, name, parent);
|
||||
//
|
||||
// vector
|
||||
// /* Constructors */
|
||||
// .def(py::init<>())
|
||||
// .def(py::init<size_t>())
|
||||
// .def("__init__", [](Type &v, const std::vector<Scalar> &v2) {
|
||||
// new (&v) Type(v2.size());
|
||||
// memcpy(v.data(), &v2[0], sizeof(Scalar) * v2.size());
|
||||
// })
|
||||
// .def("__init__", [](Type &v, py::buffer b) {
|
||||
// py::buffer_info info = b.request();
|
||||
// if (info.format != py::format_descriptor<Scalar>::value()) {
|
||||
// throw std::runtime_error("Incompatible buffer format!");
|
||||
// } else if (info.ndim == 1 && info.strides[0] == sizeof(Scalar)) {
|
||||
// new (&v) Type(info.shape[0]);
|
||||
// memcpy(v.data(), info.ptr, sizeof(Scalar) * info.shape[0]);
|
||||
// } else if (info.ndim == 2 && ((info.shape[0] == 1 && info.strides[0] == sizeof(Scalar))
|
||||
// || (info.shape[1] == 1 && info.strides[1] == sizeof(Scalar)))) {
|
||||
// new (&v) Type(info.shape[0] * info.shape[1]);
|
||||
// memcpy(v.data(), info.ptr, sizeof(Scalar) * info.shape[0] * info.shape[1]);
|
||||
// } else {
|
||||
// throw std::runtime_error("Incompatible buffer dimension!");
|
||||
// }
|
||||
// })
|
||||
//
|
||||
// /* Size query functions */
|
||||
// .def("size", [](const Type &m) { return m.size(); })
|
||||
// .def("cols", [](const Type &m) { return m.cols(); })
|
||||
// .def("rows", [](const Type &m) { return m.rows(); })
|
||||
//
|
||||
// /* Initialization */
|
||||
// .def("setZero", [](Type &m) { m.setZero(); })
|
||||
// .def("setConstant", [](Type &m, Scalar value) { m.setConstant(value); })
|
||||
//
|
||||
// /* Resizing */
|
||||
// .def("resize", [](Type &m, size_t s0) { m.resize(s0); })
|
||||
// .def("resizeLike", [](Type &m, const Type &m2) { m.resizeLike(m2); })
|
||||
// .def("conservativeResize", [](Type &m, size_t s0) { m.conservativeResize(s0); })
|
||||
//
|
||||
// /* Component-wise operations */
|
||||
// .def("cwiseAbs", &Type::cwiseAbs)
|
||||
// .def("cwiseAbs2", &Type::cwiseAbs2)
|
||||
// .def("cwiseSqrt", &Type::cwiseSqrt)
|
||||
// .def("cwiseInverse", &Type::cwiseInverse)
|
||||
// .def("cwiseMin", [](const Type &m1, const Type &m2) -> Type { return m1.cwiseMin(m2); })
|
||||
// .def("cwiseMax", [](const Type &m1, const Type &m2) -> Type { return m1.cwiseMax(m2); })
|
||||
// .def("cwiseMin", [](const Type &m1, Scalar s) -> Type { return m1.cwiseMin(s); })
|
||||
// .def("cwiseMax", [](const Type &m1, Scalar s) -> Type { return m1.cwiseMax(s); })
|
||||
// .def("cwiseProduct", [](const Type &m1, const Type &m2) -> Type { return m1.cwiseProduct(m2); })
|
||||
// .def("cwiseQuotient", [](const Type &m1, const Type &m2) -> Type { return m1.cwiseQuotient(m2); })
|
||||
//
|
||||
// /* Arithmetic operators (def_cast forcefully casts the result back to a
|
||||
// Type to avoid type issues with Eigen's crazy expression templates) */
|
||||
// .def_cast(-py::self)
|
||||
// .def_cast(py::self + py::self)
|
||||
// .def_cast(py::self - py::self)
|
||||
// .def_cast(py::self * Scalar())
|
||||
// .def_cast(py::self / Scalar())
|
||||
//
|
||||
// .def("__rmul__", [](const Type& a, const Scalar& b)
|
||||
// {
|
||||
// return Type(b * a);
|
||||
// })
|
||||
//
|
||||
//
|
||||
// /* Arithmetic in-place operators */
|
||||
// .def_cast(py::self += py::self)
|
||||
// .def_cast(py::self -= py::self)
|
||||
// .def_cast(py::self *= py::self)
|
||||
// .def_cast(py::self *= Scalar())
|
||||
// .def_cast(py::self /= Scalar())
|
||||
//
|
||||
// /* Comparison operators */
|
||||
// .def(py::self == py::self)
|
||||
// .def(py::self != py::self)
|
||||
//
|
||||
// /* Python protocol implementations */
|
||||
// .def("__repr__", [](const Type &v) {
|
||||
// std::ostringstream oss;
|
||||
// oss << v.transpose();
|
||||
// return oss.str();
|
||||
// })
|
||||
// .def("__getitem__", [](const Type &m, size_t i) {
|
||||
// if (i >= (size_t) m.size())
|
||||
// throw py::index_error();
|
||||
// return m[i];
|
||||
// })
|
||||
// .def("__setitem__", [](Type &m, size_t i, Scalar v) {
|
||||
// if (i >= (size_t) m.size())
|
||||
// throw py::index_error();
|
||||
// m[i] = v;
|
||||
// })
|
||||
//
|
||||
// /* Buffer access for interacting with NumPy */
|
||||
// .def_buffer([](Type &m) -> py::buffer_info {
|
||||
// return py::buffer_info(
|
||||
// m.data(), /* Pointer to buffer */
|
||||
// sizeof(Scalar), /* Size of one scalar */
|
||||
// /* Python struct-style format descriptor */
|
||||
// py::format_descriptor<Scalar>::value(),
|
||||
// 1, /* Number of dimensions */
|
||||
// { (size_t) m.size() }, /* Buffer dimensions */
|
||||
// { sizeof(Scalar) } /* Strides (in bytes) for each index */
|
||||
// );
|
||||
// })
|
||||
//
|
||||
// /* Static initializers */
|
||||
// .def_static("Zero", [](size_t n) { return Type(Type::Zero(n)); })
|
||||
// .def_static("Ones", [](size_t n) { return Type(Type::Ones(n)); })
|
||||
// .def_static("Constant", [](size_t n, Scalar value) { return Type(Type::Constant(n, value)); })
|
||||
// .def("MapMatrix", [](const Type& m, size_t r, size_t c)
|
||||
// {
|
||||
// return Eigen::Matrix<Scalar,Eigen::Dynamic,Eigen::Dynamic>(Eigen::Map<const Eigen::Matrix<Scalar,Eigen::Dynamic,Eigen::Dynamic>>(m.data(),r,c));
|
||||
// })
|
||||
// ;
|
||||
// return vector;
|
||||
// }
|
||||
|
||||
/// Creates Python bindings for a dynamic Eigen order-2 tensor (i.e. a matrix)
|
||||
template <typename Type>
|
||||
@@ -266,6 +266,19 @@ py::class_<Type> bind_eigen_2(py::module &m, const char *name,
|
||||
.def("cols", [](const Type &m) { return m.cols(); })
|
||||
.def("rows", [](const Type &m) { return m.rows(); })
|
||||
|
||||
/* Extract rows and colums */
|
||||
.def("col", [](const Type &m, int i) {
|
||||
if (i<0 || i>=m.cols())
|
||||
throw std::runtime_error("Column index out of bound.");
|
||||
return Eigen::Matrix<Scalar,Eigen::Dynamic,Eigen::Dynamic>(m.col(i));
|
||||
})
|
||||
.def("row", [](const Type &m, int i) {
|
||||
if (i<0 || i>=m.rows())
|
||||
throw std::runtime_error("Row index out of bound.");
|
||||
return Eigen::Matrix<Scalar,Eigen::Dynamic,Eigen::Dynamic>(m.row(i));
|
||||
})
|
||||
|
||||
|
||||
/* Initialization */
|
||||
.def("setZero", [](Type &m) { m.setZero(); })
|
||||
.def("setIdentity", [](Type &m) { m.setIdentity(); })
|
||||
@@ -565,14 +578,14 @@ void python_export_vector(py::module &m) {
|
||||
"eigen", "Wrappers for Eigen types");
|
||||
|
||||
/* Bindings for VectorXd */
|
||||
bind_eigen_1<Eigen::VectorXd> (me, "VectorXd");
|
||||
py::implicitly_convertible<py::buffer, Eigen::VectorXd>();
|
||||
py::implicitly_convertible<double, Eigen::VectorXd>();
|
||||
// bind_eigen_1<Eigen::VectorXd> (me, "VectorXd");
|
||||
// py::implicitly_convertible<py::buffer, Eigen::VectorXd>();
|
||||
// py::implicitly_convertible<double, Eigen::VectorXd>();
|
||||
|
||||
/* Bindings for VectorXi */
|
||||
bind_eigen_1<Eigen::VectorXi> (me, "VectorXi");
|
||||
py::implicitly_convertible<py::buffer, Eigen::VectorXi>();
|
||||
py::implicitly_convertible<double, Eigen::VectorXi>();
|
||||
// bind_eigen_1<Eigen::VectorXi> (me, "VectorXi");
|
||||
// py::implicitly_convertible<py::buffer, Eigen::VectorXi>();
|
||||
// py::implicitly_convertible<double, Eigen::VectorXi>();
|
||||
|
||||
/* Bindings for MatrixXd */
|
||||
bind_eigen_2<Eigen::MatrixXd> (me, "MatrixXd");
|
||||
@@ -584,24 +597,24 @@ void python_export_vector(py::module &m) {
|
||||
py::implicitly_convertible<py::buffer, Eigen::MatrixXi>();
|
||||
py::implicitly_convertible<double, Eigen::MatrixXi>();
|
||||
|
||||
/* Bindings for Vector3d */
|
||||
auto vector3 = bind_eigen_1_3<Eigen::Vector3d>(me, "Vector3d");
|
||||
vector3
|
||||
.def("norm", [](const Eigen::Vector3d &v) { return v.norm(); })
|
||||
.def("squaredNorm", [](const Eigen::Vector3d &v) { return v.squaredNorm(); })
|
||||
.def("normalize", [](Eigen::Vector3d &v) { v.normalize(); })
|
||||
.def("normalized", [](const Eigen::Vector3d &v) -> Eigen::Vector3d { return v.normalized(); })
|
||||
.def("dot", [](const Eigen::Vector3d &v1, const Eigen::Vector3d &v2) { return v1.dot(v2); })
|
||||
.def("cross", [](const Eigen::Vector3d &v1, const Eigen::Vector3d &v2) -> Eigen::Vector3d { return v1.cross(v2); })
|
||||
.def_property("x", [](const Eigen::Vector3d &v) -> double { return v.x(); },
|
||||
[](Eigen::Vector3d &v, double x) { v.x() = x; }, "X coordinate")
|
||||
.def_property("y", [](const Eigen::Vector3d &v) -> double { return v.y(); },
|
||||
[](Eigen::Vector3d &v, double y) { v.y() = y; }, "Y coordinate")
|
||||
.def_property("z", [](const Eigen::Vector3d &v) -> double { return v.z(); },
|
||||
[](Eigen::Vector3d &v, double z) { v.z() = z; }, "Z coordinate");
|
||||
|
||||
py::implicitly_convertible<py::buffer, Eigen::Vector3d>();
|
||||
py::implicitly_convertible<double, Eigen::Vector3d>();
|
||||
// /* Bindings for Vector3d */
|
||||
// auto vector3 = bind_eigen_1_3<Eigen::Vector3d>(me, "Vector3d");
|
||||
// vector3
|
||||
// .def("norm", [](const Eigen::Vector3d &v) { return v.norm(); })
|
||||
// .def("squaredNorm", [](const Eigen::Vector3d &v) { return v.squaredNorm(); })
|
||||
// .def("normalize", [](Eigen::Vector3d &v) { v.normalize(); })
|
||||
// .def("normalized", [](const Eigen::Vector3d &v) -> Eigen::Vector3d { return v.normalized(); })
|
||||
// .def("dot", [](const Eigen::Vector3d &v1, const Eigen::Vector3d &v2) { return v1.dot(v2); })
|
||||
// .def("cross", [](const Eigen::Vector3d &v1, const Eigen::Vector3d &v2) -> Eigen::Vector3d { return v1.cross(v2); })
|
||||
// .def_property("x", [](const Eigen::Vector3d &v) -> double { return v.x(); },
|
||||
// [](Eigen::Vector3d &v, double x) { v.x() = x; }, "X coordinate")
|
||||
// .def_property("y", [](const Eigen::Vector3d &v) -> double { return v.y(); },
|
||||
// [](Eigen::Vector3d &v, double y) { v.y() = y; }, "Y coordinate")
|
||||
// .def_property("z", [](const Eigen::Vector3d &v) -> double { return v.z(); },
|
||||
// [](Eigen::Vector3d &v, double z) { v.z() = z; }, "Z coordinate");
|
||||
//
|
||||
// py::implicitly_convertible<py::buffer, Eigen::Vector3d>();
|
||||
// py::implicitly_convertible<double, Eigen::Vector3d>();
|
||||
|
||||
/* Bindings for SparseMatrix<double> */
|
||||
bind_eigen_sparse_2< Eigen::SparseMatrix<double> > (me, "SparseMatrixd");
|
||||
|
||||
@@ -3,6 +3,30 @@
|
||||
#include <string>
|
||||
#include <fstream>
|
||||
|
||||
void assert_is_VectorXd(const std::string name, const Eigen::MatrixXd& v)
|
||||
{
|
||||
if (v.cols() != 1)
|
||||
throw std::runtime_error(name + " must be a column vector.");
|
||||
}
|
||||
|
||||
void assert_is_RowVectorXd(const std::string name, const Eigen::MatrixXd& v)
|
||||
{
|
||||
if (v.rows() != 1)
|
||||
throw std::runtime_error(name + " must be a row vector.");
|
||||
}
|
||||
|
||||
void assert_is_Vector3d(const std::string name, const Eigen::MatrixXd& v)
|
||||
{
|
||||
if ((v.cols() != 1) || (v.rows() != 3))
|
||||
throw std::runtime_error(name + " must be a column vector with 3 entries.");
|
||||
}
|
||||
|
||||
void assert_is_RowVector3d(const std::string name, const Eigen::MatrixXd& v)
|
||||
{
|
||||
if ((v.cols() != 3) || (v.rows() != 1))
|
||||
throw std::runtime_error(name + " must be a row vector with 3 entries.");
|
||||
}
|
||||
|
||||
extern void python_export_vector(py::module &);
|
||||
extern void python_export_igl(py::module &);
|
||||
extern void python_export_igl_viewer(py::module &);
|
||||
|
||||
@@ -9,4 +9,11 @@
|
||||
|
||||
#include "py_doc.h"
|
||||
|
||||
#include <Eigen/Dense>
|
||||
|
||||
void assert_is_VectorXd(const std::string name, const Eigen::MatrixXd& v);
|
||||
void assert_is_RowVectorXd(const std::string name, const Eigen::MatrixXd& v);
|
||||
void assert_is_Vector3d(const std::string name, const Eigen::MatrixXd& v);
|
||||
void assert_is_RowVector3d(const std::string name, const Eigen::MatrixXd& v);
|
||||
|
||||
namespace py = pybind;
|
||||
|
||||
Reference in New Issue
Block a user