Transform: use a kd-tree to calculate proportional distances

While speedup is non-linear, it gives ~30% speedup for ~6 million verts.

D3993 by @Al with edits.
This commit is contained in:
Campbell Barton 2019-08-16 18:20:53 +10:00
parent 9dab57a9f8
commit bdf8450713
Notes: blender-bot 2023-02-14 03:44:41 +01:00
Referenced by issue #61951, Improve UV proportional editing performance on high poly meshes
1 changed files with 108 additions and 36 deletions

View File

@ -52,6 +52,7 @@
#include "BLI_string.h"
#include "BLI_bitmap.h"
#include "BLI_rect.h"
#include "BLI_kdtree.h"
#include "BKE_action.h"
#include "BKE_animsys.h"
@ -235,8 +236,9 @@ static void sort_trans_data_selected_first(TransInfo *t)
}
}
/* distance calculated from not-selected vertex to nearest selected vertex
* warning; this is loops inside loop, has minor N^2 issues, but by sorting list it is OK */
/**
* Distance calculated from not-selected vertex to nearest selected vertex.
*/
static void set_prop_dist(TransInfo *t, const bool with_dist)
{
int a;
@ -255,54 +257,124 @@ static void set_prop_dist(TransInfo *t, const bool with_dist)
}
}
/* Count number of selected. */
int td_table_len = 0;
FOREACH_TRANS_DATA_CONTAINER (t, tc) {
TransData *tob = tc->data;
for (a = 0; a < tc->data_len; a++, tob++) {
TransData *td = tc->data;
for (a = 0; a < tc->data_len; a++, td++) {
if (td->flag & TD_SELECTED) {
td_table_len++;
}
else {
/* By definition transform-data has selected items in beginning. */
break;
}
}
}
tob->rdist = 0.0f; // init, it was mallocced
/* Pointers to selected's #TransData.
* Used to find #TransData from the index returned by #BLI_kdtree_find_nearest. */
TransData **td_table = MEM_mallocN(sizeof(*td_table) * td_table_len, __func__);
if ((tob->flag & TD_SELECTED) == 0) {
TransData *td;
int i;
float dist_sq, vec[3];
/* Create and fill kd-tree of selected's positions - in global or proj_vec space. */
KDTree_3d *td_tree = BLI_kdtree_3d_new(td_table_len);
tob->rdist = -1.0f; // signal for next loop
int td_table_index = 0;
FOREACH_TRANS_DATA_CONTAINER (t, tc) {
TransData *td = tc->data;
for (a = 0; a < tc->data_len; a++, td++) {
if (td->flag & TD_SELECTED) {
/* Initialize, it was mallocced. */
float vec[3];
td->rdist = 0.0f;
for (i = 0, td = tc->data; i < tc->data_len; i++, td++) {
if (td->flag & TD_SELECTED) {
if (use_island) {
sub_v3_v3v3(vec, tob->iloc, td->iloc);
}
else {
sub_v3_v3v3(vec, tob->center, td->center);
}
mul_m3_v3(tob->mtx, vec);
if (proj_vec) {
float vec_p[3];
project_v3_v3v3(vec_p, vec, proj_vec);
sub_v3_v3(vec, vec_p);
}
dist_sq = len_squared_v3(vec);
if ((tob->rdist == -1.0f) || (dist_sq < SQUARE(tob->rdist))) {
tob->rdist = sqrtf(dist_sq);
if (use_island) {
copy_v3_v3(tob->center, td->center);
copy_m3_m3(tob->axismtx, td->axismtx);
}
}
if (use_island) {
if (tc->use_local_mat) {
mul_v3_m4v3(vec, tc->mat, td->iloc);
}
else {
break; /* by definition transdata has selected items in beginning */
mul_v3_m3v3(vec, td->mtx, td->iloc);
}
}
else {
if (tc->use_local_mat) {
mul_v3_m4v3(vec, tc->mat, td->center);
}
else {
mul_v3_m3v3(vec, td->mtx, td->center);
}
}
if (proj_vec) {
float vec_p[3];
project_v3_v3v3(vec_p, vec, proj_vec);
sub_v3_v3(vec, vec_p);
}
BLI_kdtree_3d_insert(td_tree, td_table_index, vec);
td_table[td_table_index++] = td;
}
else {
/* By definition transform-data has selected items in beginning. */
break;
}
}
}
BLI_assert(td_table_index == td_table_len);
BLI_kdtree_3d_balance(td_tree);
/* For each non-selected vertex, find distance to the nearest selected vertex. */
FOREACH_TRANS_DATA_CONTAINER (t, tc) {
TransData *td = tc->data;
for (a = 0; a < tc->data_len; a++, td++) {
if ((td->flag & TD_SELECTED) == 0) {
float vec[3];
if (use_island) {
if (tc->use_local_mat) {
mul_v3_m4v3(vec, tc->mat, td->iloc);
}
else {
mul_v3_m3v3(vec, td->mtx, td->iloc);
}
}
else {
if (tc->use_local_mat) {
mul_v3_m4v3(vec, tc->mat, td->center);
}
else {
mul_v3_m3v3(vec, td->mtx, td->center);
}
}
if (proj_vec) {
float vec_p[3];
project_v3_v3v3(vec_p, vec, proj_vec);
sub_v3_v3(vec, vec_p);
}
KDTreeNearest_3d nearest;
const int td_index = BLI_kdtree_3d_find_nearest(td_tree, vec, &nearest);
td->rdist = -1.0f;
if (td_index != -1) {
td->rdist = nearest.dist;
if (use_island) {
copy_v3_v3(td->center, td_table[td_index]->center);
copy_m3_m3(td->axismtx, td_table[td_index]->axismtx);
}
}
if (with_dist) {
tob->dist = tob->rdist;
td->dist = td->rdist;
}
}
}
}
BLI_kdtree_3d_free(td_tree);
MEM_freeN(td_table);
}
/* ************************** CONVERSIONS ************************* */