|
@@ -31,7 +31,7 @@ VertexFaceMap create_vertex_face_map(const TriangleMesh &mesh) {
|
|
|
return vmap;
|
|
|
}
|
|
|
|
|
|
-// Find transformed mesh ground level without copy and with parallell reduce.
|
|
|
+// Find transformed mesh ground level without copy and with parallel reduce.
|
|
|
double find_ground_level(const TriangleMesh &mesh,
|
|
|
const Transform3d & tr,
|
|
|
size_t threads)
|
|
@@ -40,15 +40,13 @@ double find_ground_level(const TriangleMesh &mesh,
|
|
|
|
|
|
auto minfn = [](double a, double b) { return std::min(a, b); };
|
|
|
|
|
|
- auto findminz = [&mesh, &tr] (size_t vi, double submin) {
|
|
|
- Vec3d v = tr * mesh.its.vertices[vi].template cast<double>();
|
|
|
- return std::min(submin, v.z());
|
|
|
+ auto accessfn = [&mesh, &tr] (size_t vi) {
|
|
|
+ return (tr * mesh.its.vertices[vi].template cast<double>()).z();
|
|
|
};
|
|
|
|
|
|
double zmin = mesh.its.vertices.front().z();
|
|
|
-
|
|
|
- return ccr_par::reduce(size_t(0), vsize, zmin, findminz, minfn,
|
|
|
- vsize / threads);
|
|
|
+ size_t granularity = vsize / threads;
|
|
|
+ return ccr_par::reduce(size_t(0), vsize, zmin, minfn, accessfn, granularity);
|
|
|
}
|
|
|
|
|
|
// Try to guess the number of support points needed to support a mesh
|
|
@@ -65,7 +63,7 @@ double calculate_model_supportedness(const TriangleMesh & mesh,
|
|
|
|
|
|
double zmin = find_ground_level(mesh, tr, Nthr);
|
|
|
|
|
|
- auto score_mergefn = [&mesh, &tr, zmin](size_t fi, double subscore) {
|
|
|
+ auto accessfn = [&mesh, &tr, zmin](size_t fi) {
|
|
|
|
|
|
static const Vec3d DOWN = {0., 0., -1.};
|
|
|
|
|
@@ -83,21 +81,18 @@ double calculate_model_supportedness(const TriangleMesh & mesh,
|
|
|
double zlvl = zmin + 0.1;
|
|
|
if (p1.z() <= zlvl && p2.z() <= zlvl && p3.z() <= zlvl) {
|
|
|
// score += area * POINTS_PER_UNIT_AREA;
|
|
|
- return subscore;
|
|
|
+ return 0.;
|
|
|
}
|
|
|
|
|
|
double phi = 1. - std::acos(N.dot(DOWN)) / PI;
|
|
|
- phi = phi * (phi > 0.5);
|
|
|
+// phi = phi * (phi > 0.5);
|
|
|
|
|
|
// std::cout << "area: " << area << std::endl;
|
|
|
|
|
|
- subscore += area * POINTS_PER_UNIT_AREA * phi;
|
|
|
-
|
|
|
- return subscore;
|
|
|
+ return area * POINTS_PER_UNIT_AREA * phi;
|
|
|
};
|
|
|
|
|
|
- double score = ccr_seq::reduce(size_t(0), facesize, 0., score_mergefn,
|
|
|
- std::plus<double>{}, facesize / Nthr);
|
|
|
+ double score = ccr_par::reduce(size_t(0), facesize, 0., std::plus<double>{}, accessfn, facesize / Nthr);
|
|
|
|
|
|
return score / mesh.its.indices.size();
|
|
|
}
|
|
@@ -107,7 +102,7 @@ std::array<double, 2> find_best_rotation(const ModelObject& modelobj,
|
|
|
std::function<void(unsigned)> statuscb,
|
|
|
std::function<bool()> stopcond)
|
|
|
{
|
|
|
- static const unsigned MAX_TRIES = 100;
|
|
|
+ static const unsigned MAX_TRIES = 10000;
|
|
|
|
|
|
// return value
|
|
|
std::array<double, 2> rot;
|
|
@@ -158,10 +153,10 @@ std::array<double, 2> find_best_rotation(const ModelObject& modelobj,
|
|
|
.max_iterations(max_tries)
|
|
|
.rel_score_diff(1e-6)
|
|
|
.stop_condition(stopcond),
|
|
|
- 10 /*grid size*/);
|
|
|
+ 100 /*grid size*/);
|
|
|
|
|
|
- // We are searching rotations around the three axes x, y, z. Thus the
|
|
|
- // problem becomes a 3 dimensional optimization task.
|
|
|
+ // We are searching rotations around only two axes x, y. Thus the
|
|
|
+ // problem becomes a 2 dimensional optimization task.
|
|
|
// We can specify the bounds for a dimension in the following way:
|
|
|
auto b = opt::Bound{-PI, PI};
|
|
|
|