Performance improvements
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@ -323,8 +323,7 @@ struct GlobalModelInfo {
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float calculate_point_visibility(const Vec3f &position) const {
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std::vector<size_t> points = find_nearby_points(mesh_samples_tree, position, mesh_samples_radius);
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if (points.empty()) {
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size_t idx = find_closest_point(mesh_samples_tree, position);
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return mesh_samples_visibility[idx];
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return 1.0f;
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}
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float total_weight = 0;
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@ -622,18 +621,22 @@ void compute_global_occlusion(GlobalModelInfo &result, const PrintObject *po) {
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result.mesh_samples_tree = KDTreeIndirect<3, float, CoordinateFunctor>(result.mesh_samples_coordinate_functor,
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result.mesh_samples.positions.size());
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result.mesh_samples_radius = sqrt(
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4.0f * (result.mesh_samples.total_area / SeamPlacer::raycasting_visibility_samples_count) / PI);
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10.0f * (result.mesh_samples.total_area / SeamPlacer::raycasting_visibility_samples_count) / PI);
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BOOST_LOG_TRIVIAL(debug)
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<< "SeamPlacer: Compute visiblity sample points: end; mesh_sample_radius: " << result.mesh_samples_radius;
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<< "SeamPlacer: Compute visiblity sample points: end";
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BOOST_LOG_TRIVIAL(debug)
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<< "SeamPlacer:build AABB tree: start";
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<< "SeamPlacer: Mesh sample raidus: " << result.mesh_samples_radius;
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BOOST_LOG_TRIVIAL(debug)
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<< "SeamPlacer: build AABB tree: start";
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auto raycasting_tree = AABBTreeIndirect::build_aabb_tree_over_indexed_triangle_set(triangle_set.vertices,
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triangle_set.indices);
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BOOST_LOG_TRIVIAL(debug)
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<< "SeamPlacer:build AABB tree: end";
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<< "SeamPlacer: build AABB tree: end";
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result.mesh_samples_visibility = raycast_visibility(raycasting_tree, triangle_set, result.mesh_samples,
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negative_volumes_start_index);
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@ -122,7 +122,7 @@ struct PrintObjectSeamData
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class SeamPlacer {
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public:
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// Number of samples generated on the mesh. There are sqr_rays_per_sample_point*sqr_rays_per_sample_point rays casted from each samples
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static constexpr size_t raycasting_visibility_samples_count = 40000;
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static constexpr size_t raycasting_visibility_samples_count = 25000;
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//square of number of rays per sample point
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static constexpr size_t sqr_rays_per_sample_point = 8;
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@ -135,7 +135,7 @@ public:
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// determines angle importance compared to visibility ( neutral value is 1.0f. )
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static constexpr float angle_importance = 0.6f;
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static constexpr float angle_importance = 0.5f;
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// If enforcer or blocker is closer to the seam candidate than this limit, the seam candidate is set to Blocker or Enforcer
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static constexpr float enforcer_blocker_distance_tolerance = 0.35f;
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@ -144,7 +144,7 @@ public:
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// When searching for seam clusters for alignment:
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// following value describes, how much worse score can point have and still be picked into seam cluster instead of original seam point on the same layer
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static constexpr float seam_align_score_tolerance = 0.27f;
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static constexpr float seam_align_score_tolerance = 0.3f;
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// seam_align_tolerable_dist - if next layer closes point is too far away, break string
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static constexpr float seam_align_tolerable_dist = 1.0f;
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// if the seam of the current layer is too far away, and the closest seam candidate is not very good, layer is skipped.
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@ -7,7 +7,7 @@
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namespace Slic3r {
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TriangleSetSamples sample_its_uniform_parallel(size_t samples_count, const indexed_triangle_set &triangle_set) {
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std::vector<float> triangles_area(triangle_set.indices.size());
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std::vector<double> triangles_area(triangle_set.indices.size());
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tbb::parallel_for(tbb::blocked_range<size_t>(0, triangle_set.indices.size()),
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[&triangle_set, &triangles_area](
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@ -16,28 +16,27 @@ TriangleSetSamples sample_its_uniform_parallel(size_t samples_count, const index
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const Vec3f &a = triangle_set.vertices[triangle_set.indices[t_idx].x()];
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const Vec3f &b = triangle_set.vertices[triangle_set.indices[t_idx].y()];
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const Vec3f &c = triangle_set.vertices[triangle_set.indices[t_idx].z()];
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float area = 0.5f * (b - a).cross(c - a).norm();
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double area = double(0.5 * (b - a).cross(c - a).norm());
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triangles_area[t_idx] = area;
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}
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});
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std::map<float, size_t> area_sum_to_triangle_idx;
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std::map<double, size_t> area_sum_to_triangle_idx;
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float area_sum = 0;
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for (size_t t_idx = 0; t_idx < triangles_area.size(); ++t_idx) {
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area_sum += triangles_area[t_idx];
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area_sum_to_triangle_idx[area_sum] = t_idx;
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}
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std::random_device rnd_device;
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std::mt19937 mersenne_engine { rnd_device() };
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std::mt19937_64 mersenne_engine { };
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// random numbers on interval [0, 1)
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std::uniform_real_distribution<float> fdistribution;
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std::uniform_real_distribution<double> fdistribution;
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auto get_random = [&fdistribution, &mersenne_engine]() {
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return Vec3f { fdistribution(mersenne_engine), fdistribution(mersenne_engine), fdistribution(mersenne_engine) };
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return Vec3d { fdistribution(mersenne_engine), fdistribution(mersenne_engine), fdistribution(mersenne_engine) };
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};
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std::vector<Vec3f> random_samples(samples_count);
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std::vector<Vec3d> random_samples(samples_count);
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std::generate(random_samples.begin(), random_samples.end(), get_random);
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TriangleSetSamples result;
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@ -50,11 +49,11 @@ TriangleSetSamples sample_its_uniform_parallel(size_t samples_count, const index
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[&triangle_set, &area_sum_to_triangle_idx, &area_sum, &random_samples, &result](
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tbb::blocked_range<size_t> r) {
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for (size_t s_idx = r.begin(); s_idx < r.end(); ++s_idx) {
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float t_sample = random_samples[s_idx].x() * area_sum;
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double t_sample = random_samples[s_idx].x() * area_sum;
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size_t t_idx = area_sum_to_triangle_idx.upper_bound(t_sample)->second;
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float sq_u = std::sqrt(random_samples[s_idx].y());
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float v = random_samples[s_idx].z();
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double sq_u = std::sqrt(random_samples[s_idx].y());
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double v = random_samples[s_idx].z();
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Vec3f A = triangle_set.vertices[triangle_set.indices[t_idx].x()];
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Vec3f B = triangle_set.vertices[triangle_set.indices[t_idx].y()];
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