There were two issues: * The `new_point_counts_per_curve` was one too large, resulting in `interpolate_from_neighbors` reading invalid memory. * Writing the counts into the existing offsets array didn't quite work because there can be a collision at the offset right between the last old curve and the first new point. There was a race condition where this value could be read and written at the same time.
400 lines
17 KiB
C++
400 lines
17 KiB
C++
/* SPDX-License-Identifier: GPL-2.0-or-later */
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#include "BLI_length_parameterize.hh"
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#include "BLI_task.hh"
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#include "BKE_attribute_math.hh"
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#include "BKE_mesh.h"
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#include "BKE_mesh_sample.hh"
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#include "GEO_add_curves_on_mesh.hh"
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#include "GEO_reverse_uv_sampler.hh"
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/**
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* The code below uses a suffix naming convention to indicate the coordinate space:
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* cu: Local space of the curves object that is being edited.
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* su: Local space of the surface object.
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*/
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namespace blender::geometry {
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using bke::CurvesGeometry;
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struct NeighborCurve {
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/* Curve index of the neighbor. */
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int index;
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/* The weights of all neighbors of a new curve add up to 1. */
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float weight;
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};
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static constexpr int max_neighbors = 5;
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using NeighborCurves = Vector<NeighborCurve, max_neighbors>;
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float3 compute_surface_point_normal(const MLoopTri &looptri,
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const float3 &bary_coord,
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const Span<float3> corner_normals)
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{
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const int l0 = looptri.tri[0];
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const int l1 = looptri.tri[1];
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const int l2 = looptri.tri[2];
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const float3 &l0_normal = corner_normals[l0];
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const float3 &l1_normal = corner_normals[l1];
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const float3 &l2_normal = corner_normals[l2];
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const float3 normal = math::normalize(
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attribute_math::mix3(bary_coord, l0_normal, l1_normal, l2_normal));
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return normal;
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}
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static void initialize_straight_curve_positions(const float3 &p1,
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const float3 &p2,
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MutableSpan<float3> r_positions)
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{
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const float step = 1.0f / float(r_positions.size() - 1);
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for (const int i : r_positions.index_range()) {
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r_positions[i] = math::interpolate(p1, p2, i * step);
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}
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}
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static Array<NeighborCurves> find_curve_neighbors(const Span<float3> root_positions,
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const KDTree_3d &old_roots_kdtree)
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{
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const int tot_added_curves = root_positions.size();
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Array<NeighborCurves> neighbors_per_curve(tot_added_curves);
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threading::parallel_for(IndexRange(tot_added_curves), 128, [&](const IndexRange range) {
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for (const int i : range) {
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const float3 root = root_positions[i];
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std::array<KDTreeNearest_3d, max_neighbors> nearest_n;
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const int found_neighbors = BLI_kdtree_3d_find_nearest_n(
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&old_roots_kdtree, root, nearest_n.data(), max_neighbors);
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float tot_weight = 0.0f;
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for (const int neighbor_i : IndexRange(found_neighbors)) {
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KDTreeNearest_3d &nearest = nearest_n[neighbor_i];
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const float weight = 1.0f / std::max(nearest.dist, 0.00001f);
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tot_weight += weight;
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neighbors_per_curve[i].append({nearest.index, weight});
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}
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/* Normalize weights. */
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for (NeighborCurve &neighbor : neighbors_per_curve[i]) {
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neighbor.weight /= tot_weight;
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}
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}
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});
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return neighbors_per_curve;
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}
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template<typename T, typename GetValueF>
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void interpolate_from_neighbors(const Span<NeighborCurves> neighbors_per_curve,
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const T &fallback,
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const GetValueF &get_value_from_neighbor,
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MutableSpan<T> r_interpolated_values)
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{
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attribute_math::DefaultMixer<T> mixer{r_interpolated_values};
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threading::parallel_for(r_interpolated_values.index_range(), 512, [&](const IndexRange range) {
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for (const int i : range) {
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const NeighborCurves &neighbors = neighbors_per_curve[i];
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if (neighbors.is_empty()) {
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mixer.mix_in(i, fallback, 1.0f);
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}
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else {
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for (const NeighborCurve &neighbor : neighbors) {
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const T neighbor_value = get_value_from_neighbor(neighbor.index);
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mixer.mix_in(i, neighbor_value, neighbor.weight);
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}
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}
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}
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mixer.finalize(range);
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});
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}
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static void interpolate_position_without_interpolation(
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CurvesGeometry &curves,
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const int old_curves_num,
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const Span<float3> root_positions_cu,
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const Span<float> new_lengths_cu,
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const Span<float3> new_normals_su,
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const float4x4 &surface_to_curves_normal_mat)
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{
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const int added_curves_num = root_positions_cu.size();
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const OffsetIndices points_by_curve = curves.points_by_curve();
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MutableSpan<float3> positions_cu = curves.positions_for_write();
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threading::parallel_for(IndexRange(added_curves_num), 256, [&](const IndexRange range) {
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for (const int i : range) {
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const int curve_i = old_curves_num + i;
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const IndexRange points = points_by_curve[curve_i];
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const float3 &root_cu = root_positions_cu[i];
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const float length = new_lengths_cu[i];
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const float3 &normal_su = new_normals_su[i];
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const float3 normal_cu = math::normalize(surface_to_curves_normal_mat * normal_su);
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const float3 tip_cu = root_cu + length * normal_cu;
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initialize_straight_curve_positions(root_cu, tip_cu, positions_cu.slice(points));
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}
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});
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}
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static void interpolate_position_with_interpolation(CurvesGeometry &curves,
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const Span<float3> root_positions_cu,
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const Span<NeighborCurves> neighbors_per_curve,
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const int old_curves_num,
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const Span<float> new_lengths_cu,
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const Span<float3> new_normals_su,
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const bke::CurvesSurfaceTransforms &transforms,
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const Span<MLoopTri> looptris,
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const ReverseUVSampler &reverse_uv_sampler,
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const Span<float3> corner_normals_su)
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{
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MutableSpan<float3> positions_cu = curves.positions_for_write();
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const int added_curves_num = root_positions_cu.size();
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const OffsetIndices points_by_curve = curves.points_by_curve();
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const Span<float2> uv_coords = curves.surface_uv_coords();
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threading::parallel_for(IndexRange(added_curves_num), 256, [&](const IndexRange range) {
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for (const int added_curve_i : range) {
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const NeighborCurves &neighbors = neighbors_per_curve[added_curve_i];
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const int curve_i = old_curves_num + added_curve_i;
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const IndexRange points = points_by_curve[curve_i];
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const float length_cu = new_lengths_cu[added_curve_i];
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const float3 &normal_su = new_normals_su[added_curve_i];
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const float3 normal_cu = math::normalize(transforms.surface_to_curves_normal * normal_su);
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const float3 &root_cu = root_positions_cu[added_curve_i];
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if (neighbors.is_empty()) {
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/* If there are no neighbors, just make a straight line. */
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const float3 tip_cu = root_cu + length_cu * normal_cu;
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initialize_straight_curve_positions(root_cu, tip_cu, positions_cu.slice(points));
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continue;
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}
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positions_cu.slice(points).fill(root_cu);
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for (const NeighborCurve &neighbor : neighbors) {
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const int neighbor_curve_i = neighbor.index;
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const float2 neighbor_uv = uv_coords[neighbor_curve_i];
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const ReverseUVSampler::Result result = reverse_uv_sampler.sample(neighbor_uv);
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if (result.type != ReverseUVSampler::ResultType::Ok) {
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continue;
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}
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const float3 neighbor_normal_su = compute_surface_point_normal(
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looptris[result.looptri_index], result.bary_weights, corner_normals_su);
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const float3 neighbor_normal_cu = math::normalize(transforms.surface_to_curves_normal *
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neighbor_normal_su);
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/* The rotation matrix used to transform relative coordinates of the neighbor curve
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* to the new curve. */
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float normal_rotation_cu[3][3];
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rotation_between_vecs_to_mat3(normal_rotation_cu, neighbor_normal_cu, normal_cu);
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const IndexRange neighbor_points = points_by_curve[neighbor_curve_i];
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const float3 &neighbor_root_cu = positions_cu[neighbor_points[0]];
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/* Sample the positions on neighbors and mix them into the final positions of the curve.
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* Resampling is necessary if the length of the new curve does not match the length of the
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* neighbors or the number of handle points is different.
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*
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* TODO: The lengths can be cached so they aren't recomputed if a curve is a neighbor for
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* multiple new curves. Also, allocations could be avoided by reusing some arrays. */
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const Span<float3> neighbor_positions_cu = positions_cu.slice(neighbor_points);
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if (neighbor_positions_cu.size() == 1) {
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/* Skip interpolating positions from neighbors with only one point. */
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continue;
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}
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Array<float, 32> lengths(length_parameterize::segments_num(neighbor_points.size(), false));
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length_parameterize::accumulate_lengths<float3>(neighbor_positions_cu, false, lengths);
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const float neighbor_length_cu = lengths.last();
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Array<float, 32> sample_lengths(points.size());
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const float length_factor = std::min(1.0f, length_cu / neighbor_length_cu);
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const float resample_factor = (1.0f / (points.size() - 1.0f)) * length_factor;
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for (const int i : sample_lengths.index_range()) {
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sample_lengths[i] = i * resample_factor * neighbor_length_cu;
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}
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Array<int, 32> indices(points.size());
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Array<float, 32> factors(points.size());
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length_parameterize::sample_at_lengths(lengths, sample_lengths, indices, factors);
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for (const int i : IndexRange(points.size())) {
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const float3 sample_cu = math::interpolate(neighbor_positions_cu[indices[i]],
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neighbor_positions_cu[indices[i] + 1],
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factors[i]);
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const float3 relative_to_root_cu = sample_cu - neighbor_root_cu;
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float3 rotated_relative_coord = relative_to_root_cu;
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mul_m3_v3(normal_rotation_cu, rotated_relative_coord);
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positions_cu[points[i]] += neighbor.weight * rotated_relative_coord;
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}
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}
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}
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});
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}
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AddCurvesOnMeshOutputs add_curves_on_mesh(CurvesGeometry &curves,
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const AddCurvesOnMeshInputs &inputs)
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{
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AddCurvesOnMeshOutputs outputs;
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const bool use_interpolation = inputs.interpolate_length || inputs.interpolate_point_count ||
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inputs.interpolate_shape;
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Vector<float3> root_positions_cu;
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Vector<float3> bary_coords;
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Vector<const MLoopTri *> looptris;
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Vector<float2> used_uvs;
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/* Find faces that the passed in uvs belong to. */
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const Span<float3> surface_positions = inputs.surface->vert_positions();
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const Span<MLoop> surface_loops = inputs.surface->loops();
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for (const int i : inputs.uvs.index_range()) {
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const float2 &uv = inputs.uvs[i];
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const ReverseUVSampler::Result result = inputs.reverse_uv_sampler->sample(uv);
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if (result.type != ReverseUVSampler::ResultType::Ok) {
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outputs.uv_error = true;
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continue;
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}
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const MLoopTri &looptri = inputs.surface_looptris[result.looptri_index];
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bary_coords.append(result.bary_weights);
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looptris.append(&looptri);
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const float3 root_position_su = attribute_math::mix3<float3>(
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result.bary_weights,
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surface_positions[surface_loops[looptri.tri[0]].v],
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surface_positions[surface_loops[looptri.tri[1]].v],
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surface_positions[surface_loops[looptri.tri[2]].v]);
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root_positions_cu.append(inputs.transforms->surface_to_curves * root_position_su);
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used_uvs.append(uv);
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}
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Array<NeighborCurves> neighbors_per_curve;
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if (use_interpolation) {
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BLI_assert(inputs.old_roots_kdtree != nullptr);
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neighbors_per_curve = find_curve_neighbors(root_positions_cu, *inputs.old_roots_kdtree);
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}
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const int added_curves_num = root_positions_cu.size();
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const int old_points_num = curves.points_num();
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const int old_curves_num = curves.curves_num();
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const int new_curves_num = old_curves_num + added_curves_num;
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/* Grow number of curves first, so that the offsets array can be filled. */
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curves.resize(old_points_num, new_curves_num);
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const IndexRange new_curves_range = curves.curves_range().drop_front(old_curves_num);
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/* Compute new curve offsets. */
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MutableSpan<int> curve_offsets = curves.offsets_for_write();
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Array<int> new_point_counts_per_curve(added_curves_num);
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if (inputs.interpolate_point_count && old_curves_num > 0) {
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const OffsetIndices<int> old_points_by_curve{curve_offsets.take_front(old_curves_num + 1)};
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interpolate_from_neighbors<int>(
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neighbors_per_curve,
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inputs.fallback_point_count,
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[&](const int curve_i) { return old_points_by_curve.size(curve_i); },
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new_point_counts_per_curve);
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}
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else {
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new_point_counts_per_curve.fill(inputs.fallback_point_count);
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}
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curve_offsets[old_curves_num] = old_points_num;
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int offset = old_points_num;
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for (const int i : new_point_counts_per_curve.index_range()) {
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const int point_count_in_curve = new_point_counts_per_curve[i];
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curve_offsets[old_curves_num + i + 1] = offset + point_count_in_curve;
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offset += point_count_in_curve;
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}
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const int new_points_num = curves.offsets().last();
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curves.resize(new_points_num, new_curves_num);
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MutableSpan<float3> positions_cu = curves.positions_for_write();
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/* The new elements are added at the end of the arrays. */
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outputs.new_points_range = curves.points_range().drop_front(old_points_num);
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outputs.new_curves_range = curves.curves_range().drop_front(old_curves_num);
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/* Initialize attachment information. */
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MutableSpan<float2> surface_uv_coords = curves.surface_uv_coords_for_write();
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surface_uv_coords.take_back(added_curves_num).copy_from(used_uvs);
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/* Determine length of new curves. */
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Array<float> new_lengths_cu(added_curves_num);
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if (inputs.interpolate_length) {
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const OffsetIndices points_by_curve = curves.points_by_curve();
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interpolate_from_neighbors<float>(
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neighbors_per_curve,
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inputs.fallback_curve_length,
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[&](const int curve_i) {
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const IndexRange points = points_by_curve[curve_i];
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float length = 0.0f;
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for (const int segment_i : points.drop_back(1)) {
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const float3 &p1 = positions_cu[segment_i];
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const float3 &p2 = positions_cu[segment_i + 1];
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length += math::distance(p1, p2);
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}
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return length;
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},
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new_lengths_cu);
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}
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else {
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new_lengths_cu.fill(inputs.fallback_curve_length);
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}
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/* Find surface normal at root points. */
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Array<float3> new_normals_su(added_curves_num);
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threading::parallel_for(IndexRange(added_curves_num), 256, [&](const IndexRange range) {
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for (const int i : range) {
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new_normals_su[i] = compute_surface_point_normal(
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*looptris[i], bary_coords[i], inputs.corner_normals_su);
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}
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});
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/* Initialize position attribute. */
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if (inputs.interpolate_shape) {
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interpolate_position_with_interpolation(curves,
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root_positions_cu,
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neighbors_per_curve,
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old_curves_num,
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new_lengths_cu,
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new_normals_su,
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*inputs.transforms,
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inputs.surface_looptris,
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*inputs.reverse_uv_sampler,
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inputs.corner_normals_su);
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}
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else {
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interpolate_position_without_interpolation(curves,
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old_curves_num,
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root_positions_cu,
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new_lengths_cu,
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new_normals_su,
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inputs.transforms->surface_to_curves_normal);
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}
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curves.fill_curve_types(new_curves_range, CURVE_TYPE_CATMULL_ROM);
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bke::MutableAttributeAccessor attributes = curves.attributes_for_write();
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/* Explicitly set all other attributes besides those processed above to default values. */
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Set<std::string> attributes_to_skip{{"position", "curve_type", "surface_uv_coordinate"}};
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attributes.for_all(
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[&](const bke::AttributeIDRef &id, const bke::AttributeMetaData /*meta_data*/) {
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if (attributes_to_skip.contains(id.name())) {
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return true;
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}
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bke::GSpanAttributeWriter attribute = attributes.lookup_for_write_span(id);
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const CPPType &type = attribute.span.type();
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GMutableSpan new_data = attribute.span.slice(attribute.domain == ATTR_DOMAIN_POINT ?
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outputs.new_points_range :
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outputs.new_curves_range);
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type.fill_assign_n(type.default_value(), new_data.data(), new_data.size());
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attribute.finish();
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return true;
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});
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return outputs;
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}
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} // namespace blender::geometry
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