This is an example of how to use the netdem library.
#include <fstream>
#include <iostream>
#include <random>
#include <sstream>
#include <string>
using namespace std;
void TestANNvsGeometricTrimesh() {
cout << "particle created ... " << endl;
string root_dir = "local/examples/netdem/ann_models/trimesh_trimesh/";
classifier.
Load(root_dir +
"ann_classifier.xml",
"detection");
regressor.
Load(root_dir +
"ann_regressor.xml",
"resolution");
double dist_min{dist_max};
for (
auto &vert : tri_mesh_1.
vertices) {
dist_min = min(Math::NormL2(vert), dist_min);
}
dist_min *= 0.9;
dist_max = dist_max * 2;
dist_min = dist_min * 2;
double dist_range = dist_max - dist_min;
VecXT<Vec3d> vertices = SphericalVoronoi::Solve(1000, 10000, 1.0e-4);
IGLWrapper::ConvexHull(vertices, &vertices, &facets);
for (int trial = 0; trial < 100; trial++) {
quat[0] = uniform_dist.
Get() * 2.0 - 1.0;
quat[1] = uniform_dist.
Get() * 2.0 - 1.0;
quat[2] = uniform_dist.
Get() * 2.0 - 1.0;
quat[3] = uniform_dist.
Get() * 2.0 - 1.0;
Math::Quaternion::Normalize(&quat);
int id_facet = floor(uniform_dist.
Get() * facets.size());
auto vert_0 = vertices[facets[id_facet][0]];
auto vert_1 = vertices[facets[id_facet][1]];
auto vert_2 = vertices[facets[id_facet][2]];
double u_vert = uniform_dist.
Get();
double v_vert = uniform_dist.
Get() * (1 - u_vert);
double w_vert = 1 - u_vert - v_vert;
pos[0] = u_vert * vert_0[0] + v_vert * vert_1[0] + w_vert * vert_2[0];
pos[1] = u_vert * vert_0[1] + v_vert * vert_1[1] + w_vert * vert_2[1];
pos[2] = u_vert * vert_0[2] + v_vert * vert_1[2] + w_vert * vert_2[2];
Math::Normalize(&pos);
auto dist_pp = dist_min + uniform_dist.
Get() * dist_range;
pos[0] *= dist_pp;
pos[1] *= dist_pp;
pos[2] *= dist_pp;
arma::mat input(7, 1, arma::fill::zeros);
input(0, 0) = obj_p2.
pos[0];
input(1, 0) = obj_p2.
pos[1];
input(2, 0) = obj_p2.
pos[2];
auto output = classifier.
Classify(input);
cnt_solver.
Init(&obj_p1, &obj_p2);
auto cnt_flag_geo = cnt_solver.
Detect();
cout << "ann vs geometric: " << output(0) << ", " << cnt_flag_geo << endl;
if (cnt_flag_geo) {
cnt.SetCollisionModel(&cnt_model);
auto &cnt_geoms = cnt.collision_entries[0].cnt_geoms;
if (cnt_geoms.vol * cnt_geoms.sn > 6.0e-4)
continue;
auto output = regressor.
Predict(input);
cout << ">> ann: " << pow(output(0, 0) / 40.0, 2.0) << ", "
<< output(1, 0) / 40.0 << ", " << output(2, 0) << ", "
<< output(3, 0) << ", " << output(4, 0) << ", " << output(5, 0)
<< ", " << output(6, 0) << ", " << output(7, 0) << endl;
cout << ">> geo: " << cnt_geoms.vol << ", " << cnt_geoms.sn << ", "
<< cnt_geoms.dir_n[0] << ", " << cnt_geoms.dir_n[1] << ", "
<< cnt_geoms.dir_n[2] << ", " << cnt_geoms.pos[0] << ", "
<< cnt_geoms.pos[1] << ", " << cnt_geoms.pos[2] << endl;
}
}
}
A class representing a general neural network.
Definition general_net.hpp:19
void Load(std::string const &filename, std::string const &label)
Loads a previously saved neural network model from a file.
Definition general_net.cpp:74
arma::mat Classify(const arma::mat &data_x)
Classifies input data based on the current neural network model.
Definition general_net.cpp:65
Definition particle.hpp:26
virtual void SetQuaternion(double q_0, double q_1, double q_2, double q_3)
Sets the orientation of the particle using a quaternion.
Definition particle.cpp:103
virtual void SetPosition(double pos_x, double pos_y, double pos_z)
Sets the position of the particle.
Definition particle.cpp:83
Vec4d quaternion
The quaternion of the particle.
Definition particle.hpp:108
Vec3d pos
The position of the particle.
Definition particle.hpp:103
Shape * shape
The shape of the particle.
Definition particle.hpp:45
bool need_update_stl_model
Flag indicating whether STl model intersection-based contact detection and resolution is needed.
Definition particle.hpp:207
A class that represents a feedforward neural network for regression.
Definition regression_net.hpp:21
void Load(std::string const &filename, std::string const &label)
Loads the neural network model from disk.
Definition regression_net.cpp:95
arma::mat Predict(const arma::mat &data_x)
Predicts with the neural network model using input data.
Definition regression_net.cpp:62
virtual double GetBoundSphereRadius() const
Return the inertia of the shape.
Definition shape.cpp:126
Solver for triangle mesh contacts between two particles using boolean operations.
Definition solver_boolean_pp.hpp:18
bool Detect() override
Detects collisions between two particles using boolean operations on their triangle meshes.
Definition solver_boolean_pp.cpp:44
void ResolveInit(ContactPP *const cnt, double timestep) override
Initializes the contact point between two particles at time t = 0.
Definition solver_boolean_pp.cpp:74
void Init(Particle *const p1, Particle *const p2) override
Initializes the collision solver with two particles.
Definition solver_boolean_pp.cpp:22
A class representing a triangular mesh in 3D space.
Definition shape_trimesh.hpp:23
void InitFromSTL(std::string const &file)
Initialize the TriMesh object from an STL file.
void Decimate(int num_nodes)
Decimate the TriMesh object.
Definition shape_trimesh.cpp:121
void AlignAxes()
Align the axes of the TriMesh object.
Definition shape_trimesh.cpp:107
void SetSize(double d) override
Set the size of the TriMesh object.
Definition shape_trimesh.cpp:207
VecXT< Vec3d > vertices
The vertices of the triangular mesh.
Definition shape_trimesh.hpp:28
Contact model that evaluates forces and moments based on volume overlap and relative velocity.
Definition model_volume_based.hpp:13
Definition bond_entry.hpp:7
std::vector< T > VecXT
Definition utils_macros.hpp:31
std::array< double, 3 > Vec3d
Definition utils_macros.hpp:18
std::array< double, 4 > Vec4d
Definition utils_macros.hpp:19