/
cluster_processing.cpp
1700 lines (1354 loc) · 61.7 KB
/
cluster_processing.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
#include "micropoly_device.h"
#include "../../kernels/rthwif/rtbuild/gpu/lcgbp.h"
#include "../../kernels/rthwif/rtbuild/gpu/morton.h"
#if 0
#define DBG_PRINT(x) PRINT(x)
#define DBG_PRINT2(x0,x1) PRINT2(x0,x1)
#define DBG_PRINT3(x0,x1,x2) PRINT3(x0,x1,x2)
#define DBG_PRINT4(x0,x1,x2,x3) PRINT4(x0,x1,x2,x3)
#define DBG_PRINT5(x0,x1,x2,x3,x4) PRINT5(x0,x1,x2,x3,x4)
#else
#define DBG_PRINT(x)
#define DBG_PRINT2(x0,x1)
#define DBG_PRINT3(x0,x1,x2)
#define DBG_PRINT4(x0,x1,x2,x3)
#define DBG_PRINT5(x0,x1,x2,x3,x4)
#endif
#define UNLOCK_BORDER 0
#define MIN_AREA_DISTANCE_FCT 1
#define ENABLE_MT_PREPROCESS 1
#define GENERATE_LODS 1
#define ENABLE_INVALID_MERGE_IDS 1
namespace embree {
typedef gpu::MortonCodePrimitive64x32Bits3D SpaceCurveType;
uint32_t findVertex(std::vector<Vec3f> &vertices, const Vec3f &cv)
{
for (uint32_t i=0;i<vertices.size();i++)
if (cv == vertices[i])
return i;
vertices.push_back(cv);
return vertices.size()-1;
}
void countVertexIDs(std::vector<uint32_t> &vertices, const uint32_t cv)
{
for (uint32_t i=0;i<vertices.size();i++)
if (cv == vertices[i])
return;
vertices.push_back(cv);
}
struct Triangle {
uint32_t v0,v1,v2;
__forceinline Triangle () {}
__forceinline Triangle (const uint32_t v0, const uint32_t v1, const uint32_t v2) : v0(v0), v1(v1), v2(v2) {}
__forceinline bool valid()
{
if (v0 != v1 && v1 != v2 && v2 != v0) return true;
return false;
}
};
struct Quad {
uint32_t v0,v1,v2,v3;
__forceinline Quad () {}
__forceinline Quad (const uint32_t v0, const uint32_t v1, const uint32_t v2, const uint32_t v3) : v0(v0), v1(v1), v2(v2), v3(v3) {}
};
struct BVH2Node
{
BBox3f bounds;
uint32_t leftID,rightID;
uint32_t numLeafPrims;
uint32_t depth;
BVH2Node() {}
BVH2Node(const BBox3f &bounds, uint32_t ID) : bounds(bounds),leftID(ID),rightID(-1),numLeafPrims(1),depth(1) {}
BVH2Node(const BVH2Node &left, const BVH2Node &right, uint32_t lID, uint32_t rID) {
bounds = left.bounds;
bounds.extend(right.bounds);
leftID = lID;
rightID = rID;
numLeafPrims = left.numLeafPrims + right.numLeafPrims;
depth = std::max(left.depth,right.depth)+1;
}
__forceinline bool isLeaf() { return rightID == -1; }
__forceinline uint32_t leafID() { return leftID; }
__forceinline uint32_t items() { return numLeafPrims; }
};
void extractIDs(const uint32_t currentID, BVH2Node *bvh, std::vector<uint32_t> &IDs)
{
if (bvh[currentID].isLeaf())
{
IDs.push_back(bvh[currentID].leafID());
}
else
{
extractIDs(bvh[currentID].leftID,bvh,IDs);
extractIDs(bvh[currentID].rightID,bvh,IDs);
}
}
struct TriangleMesh {
std::vector<Triangle> triangles;
std::vector<Vec3f> vertices;
};
struct QuadMeshCluster {
BBox3f bounds;
bool lod_root;
uint32_t leftID, rightID, neighborID;
uint32_t depth;
std::vector<Quad> quads;
std::vector<Vec3f> vertices;
std::vector<uint32_t> invalidMergeIDs;
__forceinline QuadMeshCluster() : bounds(empty),lod_root(false),leftID(-1), rightID(-1), neighborID(-1), depth(0) {}
__forceinline bool isLeaf() { return leftID == -1 || rightID == -1; }
__forceinline void initBounds()
{
bounds = BBox3f(empty);
for (uint32_t i=0;i<vertices.size();i++)
bounds.extend(vertices[i]);
}
void reorderPLOC();
uint32_t computeTriangleStrip();
bool split(QuadMeshCluster &left, QuadMeshCluster &right);
__forceinline void addInvalidMergeID(const uint32_t ID) { invalidMergeIDs.push_back(ID); }
__forceinline bool isInvalidMergeID(const uint32_t ID)
{
for (uint32_t i=0;i<invalidMergeIDs.size();i++)
if (invalidMergeIDs[i] == ID) return true;
return false;
}
};
void QuadMeshCluster::reorderPLOC()
{
const uint32_t numQuads = quads.size();
Quad *new_quads = new Quad[numQuads];
BBox3f *bounds = new BBox3f[numQuads];
BVH2Node *bvh2 = new BVH2Node[numQuads*2];
uint32_t *index_buffer = new uint32_t[numQuads];
uint32_t *tmp_buffer = new uint32_t[numQuads];
uint32_t *nearest_neighborID = new uint32_t[numQuads];
BBox3f centroidBounds(empty);
for (uint32_t i=0;i<numQuads;i++)
{
const uint32_t v0 = quads[i].v0;
const uint32_t v1 = quads[i].v1;
const uint32_t v2 = quads[i].v2;
const uint32_t v3 = quads[i].v3;
const Vec3f &vtx0 = vertices[v0];
const Vec3f &vtx1 = vertices[v1];
const Vec3f &vtx2 = vertices[v2];
const Vec3f &vtx3 = vertices[v3];
BBox3f quadBounds(empty);
quadBounds.extend(vtx0);
quadBounds.extend(vtx1);
quadBounds.extend(vtx2);
quadBounds.extend(vtx3);
centroidBounds.extend(quadBounds.center());
}
const Vec3f lower = centroidBounds.lower;
const Vec3f diag = centroidBounds.size();
const Vec3f inv_diag = diag != Vec3fa(0.0f) ? Vec3fa(1.0f) / diag : Vec3fa(0.0f);
std::vector<SpaceCurveType> mcodes;
for (uint32_t i=0;i<numQuads;i++)
{
const uint32_t v0 = quads[i].v0;
const uint32_t v1 = quads[i].v1;
const uint32_t v2 = quads[i].v2;
const uint32_t v3 = quads[i].v3;
const Vec3f &vtx0 = vertices[v0];
const Vec3f &vtx1 = vertices[v1];
const Vec3f &vtx2 = vertices[v2];
const Vec3f &vtx3 = vertices[v3];
BBox3fa quadBounds(empty);
quadBounds.extend(vtx0);
quadBounds.extend(vtx1);
quadBounds.extend(vtx2);
quadBounds.extend(vtx3);
bounds[i] = quadBounds;
const uint32_t grid_size = 1 << 21; // 3*21 = 63
const Vec3f grid_base = lower;
const Vec3f grid_extend = diag;
const Vec3f grid_scale = ((float)grid_size * 0.99f) * inv_diag;
const Vec3f centroid = quadBounds.center();
const Vec3f gridpos_f = (centroid-grid_base)*grid_scale;
const uint32_t gx = (uint32_t)gridpos_f.x;
const uint32_t gy = (uint32_t)gridpos_f.y;
const uint32_t gz = (uint32_t)gridpos_f.z;
const uint64_t code = bitInterleave64<uint64_t>(gx,gy,gz);
mcodes.push_back(SpaceCurveType(code,i));
}
std::sort(mcodes.begin(), mcodes.end());
// ==============
uint32_t numPrims = numQuads;
for (uint32_t i=0;i<numPrims;i++)
{
const uint32_t ID = mcodes[i].getIndex();
index_buffer[i] = i;
bvh2[i] = BVH2Node(bounds[ID],ID);
}
const int SEARCH_RADIUS = 16;
uint32_t numPrimitivesAlloc = numPrims;
uint32_t cur_numPrims = numPrims;
while(cur_numPrims > 1)
{
DBG_PRINT(cur_numPrims);
for (uint32_t i=0;i<cur_numPrims;i++)
nearest_neighborID[i] = -1;
for (uint32_t c=0;c<cur_numPrims;c++)
{
// find nearest neighbor
const uint32_t ID = index_buffer[c];
const BBox3f bounds = bvh2[ID].bounds;
float min_area = pos_inf;
int nn = -1;
for (int i=std::max((int)c-SEARCH_RADIUS,0);i<std::min((int)c+SEARCH_RADIUS+1,(int)cur_numPrims);i++)
if (i != c && index_buffer[i] != -1)
{
const uint32_t merge_ID = index_buffer[i];
BBox3f merged_bounds = bvh2[merge_ID].bounds;
merged_bounds.extend(bounds);
const float areaBounds = area(merged_bounds);
if (areaBounds < min_area)
{
min_area = areaBounds;
nn = i;
}
}
nearest_neighborID[c] = nn;
}
for (uint32_t i=0;i<cur_numPrims;i++)
{
if (nearest_neighborID[i] != -1)
{
if ( nearest_neighborID[ nearest_neighborID[i] ] == i)
{
if ( i < nearest_neighborID[i])
{
const uint32_t leftID = index_buffer[i];
const uint32_t rightID = index_buffer[nearest_neighborID[i]];
const uint32_t newID = numPrimitivesAlloc++;
bvh2[newID] = BVH2Node(bvh2[leftID],bvh2[rightID],leftID,rightID);
tmp_buffer[i] = newID;
//tmp_buffer[nearest_neighborID[i]] = -1;
}
else
tmp_buffer[i] = -1;
}
else
tmp_buffer[i] = index_buffer[i];
}
else
tmp_buffer[i] = index_buffer[i];
}
uint32_t new_cur_numPrims = 0;
for (uint32_t i=0;i<cur_numPrims;i++)
if (tmp_buffer[i] != -1)
index_buffer[new_cur_numPrims++] = tmp_buffer[i];
if (cur_numPrims == new_cur_numPrims)
FATAL("NO PLOC PRIM REDUCTION IN ITERATION");
cur_numPrims = new_cur_numPrims;
}
const uint32_t rootID = index_buffer[0];
// ==============
std::vector<uint32_t> IDs;
extractIDs(rootID,bvh2,IDs);
if (IDs.size() != numQuads)
{
PRINT2(IDs.size(),numQuads);
FATAL("IDs.size() != numQuads");
}
for (uint32_t i=0;i<numQuads;i++)
new_quads[i] = quads[IDs[i]];
for (uint32_t i=0;i<numQuads;i++)
quads[i] = new_quads[i];
delete [] bounds;
delete [] nearest_neighborID;
delete [] tmp_buffer;
delete [] index_buffer;
delete [] bvh2;
delete [] new_quads;
}
uint32_t QuadMeshCluster::computeTriangleStrip()
{
TriangleMesh mesh;
// === cluster0 ===
for (uint32_t i=0;i<quads.size();i++)
{
uint32_t v0 = findVertex(mesh.vertices, vertices[ quads[i].v0 ]);
uint32_t v1 = findVertex(mesh.vertices, vertices[ quads[i].v1 ]);
uint32_t v2 = findVertex(mesh.vertices, vertices[ quads[i].v2 ]);
uint32_t v3 = findVertex(mesh.vertices, vertices[ quads[i].v3 ]);
Triangle tri0(v0,v1,v3);
Triangle tri1(v1,v2,v3);
if (tri0.valid()) mesh.triangles.push_back(tri0);
if (tri1.valid()) mesh.triangles.push_back(tri1);
}
const uint32_t numTriangles = mesh.triangles.size();
const uint32_t numVertices = mesh.vertices.size();
const uint32_t numIndices = numTriangles*3;
uint32_t *old_indices = (uint32_t*)&*mesh.triangles.begin();
std::vector<unsigned int> new_index_list(meshopt_stripifyBound(numIndices));
uint32_t *new_indices = (uint32_t*)&*new_index_list.begin();
#if 0
meshopt_optimizeVertexCacheStrip(new_indices, old_indices, numIndices, numVertices);
for (uint32_t i=0;i<numIndices;i++)
old_indices[i] = new_indices[i];
#endif
unsigned int restart_index = ~0u;
size_t strip_size = meshopt_stripify(new_indices, old_indices, numIndices, numVertices, restart_index);
return strip_size;
}
bool QuadMeshCluster::split(QuadMeshCluster &left, QuadMeshCluster &right)
{
reorderPLOC();
uint32_t mid = quads.size() / 2;
for (uint32_t i=0;i<mid;i++)
{
uint32_t v0 = findVertex(left.vertices, vertices[ quads[i].v0 ]);
uint32_t v1 = findVertex(left.vertices, vertices[ quads[i].v1 ]);
uint32_t v2 = findVertex(left.vertices, vertices[ quads[i].v2 ]);
uint32_t v3 = findVertex(left.vertices, vertices[ quads[i].v3 ]);
left.quads.push_back(Quad(v0,v1,v2,v3));
}
for (uint32_t i=mid;i<quads.size();i++)
{
uint32_t v0 = findVertex(right.vertices, vertices[ quads[i].v0 ]);
uint32_t v1 = findVertex(right.vertices, vertices[ quads[i].v1 ]);
uint32_t v2 = findVertex(right.vertices, vertices[ quads[i].v2 ]);
uint32_t v3 = findVertex(right.vertices, vertices[ quads[i].v3 ]);
right.quads.push_back(Quad(v0,v1,v2,v3));
}
if (left.vertices.size() <= 256 && left.quads.size() <= LossyCompressedMeshCluster::MAX_QUADS_PER_CLUSTER &&
right.vertices.size() <= 256 && right.quads.size() <= LossyCompressedMeshCluster::MAX_QUADS_PER_CLUSTER)
return true;
else
return false;
}
__forceinline std::pair<int,int> quad_index2(int p, int a0, int a1, int b0, int b1)
{
if (b0 == a0) return std::make_pair(p-1,b1);
else if (b0 == a1) return std::make_pair(p+0,b1);
else if (b1 == a0) return std::make_pair(p-1,b0);
else if (b1 == a1) return std::make_pair(p+0,b0);
else return std::make_pair(0,-1);
}
__forceinline std::pair<int,int> quad_index3(int a0, int a1, int a2, int b0, int b1, int b2)
{
if (b0 == a0) return quad_index2(0,a2,a1,b1,b2);
else if (b0 == a1) return quad_index2(1,a0,a2,b1,b2);
else if (b0 == a2) return quad_index2(2,a1,a0,b1,b2);
else if (b1 == a0) return quad_index2(0,a2,a1,b0,b2);
else if (b1 == a1) return quad_index2(1,a0,a2,b0,b2);
else if (b1 == a2) return quad_index2(2,a1,a0,b0,b2);
else if (b2 == a0) return quad_index2(0,a2,a1,b0,b1);
else if (b2 == a1) return quad_index2(1,a0,a2,b0,b1);
else if (b2 == a2) return quad_index2(2,a1,a0,b0,b1);
else return std::make_pair(0,-1);
}
bool findSharedVertex(const std::vector<Vec3f> &vertices, const Vec3f &cv)
{
for (uint32_t i=0;i<vertices.size();i++)
if (cv == vertices[i])
return true;
return false;
}
uint32_t getNumSharedBorderVertices(const QuadMeshCluster &cluster0,const QuadMeshCluster &cluster1)
{
const BBox3f sharedBounds = intersect(cluster0.bounds,cluster1.bounds);
if (sharedBounds.empty()) return 0;
std::vector<Vec3f> cluster0_vertices;
std::vector<Vec3f> cluster1_vertices;
for (uint32_t i=0;i<cluster0.vertices.size();i++)
if (inside(sharedBounds,cluster0.vertices[i]))
cluster0_vertices.push_back(cluster0.vertices[i]);
for (uint32_t i=0;i<cluster1.vertices.size();i++)
if (inside(sharedBounds,cluster1.vertices[i]))
cluster1_vertices.push_back(cluster1.vertices[i]);
uint32_t numSharedVertices = 0;
for (uint32_t i=0;i<cluster0_vertices.size();i++)
numSharedVertices += findSharedVertex(cluster1_vertices,cluster0_vertices[i]) ? 1 : 0;
return numSharedVertices;
}
float getSimplificationRatio(QuadMeshCluster &cluster0,QuadMeshCluster &cluster1)
{
TriangleMesh mesh;
// === cluster0 ===
for (uint32_t i=0;i<cluster0.quads.size();i++)
{
uint32_t v0 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v0 ]);
uint32_t v1 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v1 ]);
uint32_t v2 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v2 ]);
uint32_t v3 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v3 ]);
Triangle tri0(v0,v1,v3);
Triangle tri1(v1,v2,v3);
if (tri0.valid()) mesh.triangles.push_back(tri0);
if (tri1.valid()) mesh.triangles.push_back(tri1);
}
// === cluster1 ===
for (uint32_t i=0;i<cluster1.quads.size();i++)
{
uint32_t v0 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v0 ]);
uint32_t v1 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v1 ]);
uint32_t v2 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v2 ]);
uint32_t v3 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v3 ]);
Triangle tri0(v0,v1,v3);
Triangle tri1(v1,v2,v3);
if (tri0.valid()) mesh.triangles.push_back(tri0);
if (tri1.valid()) mesh.triangles.push_back(tri1);
}
const uint32_t numTriangles = mesh.triangles.size();
const uint32_t numVertices = mesh.vertices.size();
const uint32_t numIndices = numTriangles*3;
Triangle *new_triangles = new Triangle[numTriangles];
Triangle *triangles = &*mesh.triangles.begin();
Vec3f *vertices = &*mesh.vertices.begin();
const float REDUCTION_FACTOR = 0.5f;
const uint32_t expectedTriangles = ceilf(numTriangles * REDUCTION_FACTOR);
const float max_error = 0.1f;
float result_error = 0.0f;
const uint32_t opts = meshopt_SimplifyLockBorder;
const size_t new_numIndices = meshopt_simplify((uint32_t*)new_triangles,(uint32_t*)triangles,numIndices,(float*)vertices,numVertices,sizeof(Vec3f),expectedTriangles*3,max_error,opts,&result_error);
const size_t new_numTriangles = new_numIndices/3;
delete [] new_triangles;
return (float)new_numTriangles / numTriangles;
}
bool mergeSimplifyQuadMeshCluster(QuadMeshCluster &cluster0,QuadMeshCluster &cluster1, std::vector<QuadMeshCluster> &quadMeshes)
{
QuadMeshCluster quadMesh;
TriangleMesh mesh;
// === cluster0 ===
for (uint32_t i=0;i<cluster0.quads.size();i++)
{
uint32_t v0 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v0 ]);
uint32_t v1 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v1 ]);
uint32_t v2 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v2 ]);
uint32_t v3 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v3 ]);
Triangle tri0(v0,v1,v3);
Triangle tri1(v1,v2,v3);
if (tri0.valid()) mesh.triangles.push_back(tri0);
if (tri1.valid()) mesh.triangles.push_back(tri1);
}
// === cluster1 ===
for (uint32_t i=0;i<cluster1.quads.size();i++)
{
uint32_t v0 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v0 ]);
uint32_t v1 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v1 ]);
uint32_t v2 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v2 ]);
uint32_t v3 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v3 ]);
Triangle tri0(v0,v1,v3);
Triangle tri1(v1,v2,v3);
if (tri0.valid()) mesh.triangles.push_back(tri0);
if (tri1.valid()) mesh.triangles.push_back(tri1);
}
DBG_PRINT(mesh.vertices.size());
DBG_PRINT(mesh.triangles.size());
const uint32_t numTriangles = mesh.triangles.size();
const uint32_t numVertices = mesh.vertices.size();
const uint32_t numIndices = numTriangles*3;
Triangle *new_triangles = new Triangle[numTriangles];
Triangle *triangles = &*mesh.triangles.begin();
Vec3f *vertices = &*mesh.vertices.begin();
const float REDUCTION_FACTOR = 0.5f;
uint32_t expectedTriangles = floorf((LossyCompressedMeshCluster::MAX_QUADS_PER_CLUSTER * 4) * REDUCTION_FACTOR);
uint32_t iterations = 0;
while(1)
{
iterations++;
uint32_t opts = meshopt_SimplifyLockBorder;
#if UNLOCK_BORDER == 1
if (iterations > 5)
{
opts = 0;
}
#endif
if (iterations > 10) return false;
bool retry = false;
float result_error = 0.0f;
const size_t new_numIndices = meshopt_simplify((uint32_t*)new_triangles,(uint32_t*)triangles,numIndices,(float*)vertices,numVertices,sizeof(Vec3f),expectedTriangles*3,0.1f,opts,&result_error);
const size_t new_numTriangles = new_numIndices/3;
DBG_PRINT3(expectedTriangles,new_numTriangles,result_error);
for (size_t i=0; i<new_numTriangles; i++)
{
const int a0 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+0].v0 ]);
const int a1 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+0].v1 ]);
const int a2 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+0].v2 ]);
if (i+1 == new_numTriangles) {
quadMesh.quads.push_back(Quad(a0,a1,a2,a2));
continue;
}
const int b0 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+1].v0 ]);
const int b1 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+1].v1 ]);
const int b2 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+1].v2 ]);
const std::pair<int,int> q = quad_index3(a0,a1,a2,b0,b1,b2);
const int a3 = q.second;
if (a3 == -1) {
quadMesh.quads.push_back(Quad(a0,a1,a2,a2));
continue;
}
if (q.first == -1) quadMesh.quads.push_back(Quad(a1,a2,a3,a0));
else if (q.first == 0) quadMesh.quads.push_back(Quad(a3,a1,a2,a0));
else if (q.first == 1) quadMesh.quads.push_back(Quad(a0,a1,a3,a2));
else if (q.first == 2) quadMesh.quads.push_back(Quad(a1,a2,a3,a0));
i++;
}
if (quadMesh.quads.size() > LossyCompressedMeshCluster::MAX_QUADS_PER_CLUSTER) { DBG_PRINT2("RETRY quadMesh.quads.size()",quadMesh.quads.size()); retry = true; }
if (quadMesh.vertices.size() > 256) {
//PRINT("RETRY quadMesh.vertices.size()");
retry = true;
}
if (retry)
{
quadMesh.vertices.clear();
quadMesh.quads.clear();
DBG_PRINT2(quadMesh.vertices.size(),quadMesh.quads.size());
expectedTriangles -= std::max((uint32_t)2,expectedTriangles/10);
}
else
break;
}
DBG_PRINT2(quadMesh.quads.size(),quadMesh.vertices.size());
delete [] new_triangles;
quadMesh.reorderPLOC();
quadMeshes.push_back(quadMesh);
return true;
}
// ==========================================================
void mergeQuadMeshCluster(QuadMeshCluster &cluster0,QuadMeshCluster &cluster1, std::vector<QuadMeshCluster> &quadMeshes)
{
QuadMeshCluster quadMesh = cluster0;
for (uint32_t i=0;i<cluster1.quads.size();i++)
{
uint32_t v0 = findVertex(quadMesh.vertices, cluster1.vertices[ cluster1.quads[i].v0 ]);
uint32_t v1 = findVertex(quadMesh.vertices, cluster1.vertices[ cluster1.quads[i].v1 ]);
uint32_t v2 = findVertex(quadMesh.vertices, cluster1.vertices[ cluster1.quads[i].v2 ]);
uint32_t v3 = findVertex(quadMesh.vertices, cluster1.vertices[ cluster1.quads[i].v3 ]);
Quad quad(v0,v1,v2,v3);
quadMesh.quads.push_back(quad);
}
quadMeshes.push_back(quadMesh);
}
bool mergeSimplifyQuadMeshClusterDAG(QuadMeshCluster &cluster0,QuadMeshCluster &cluster1, std::vector<QuadMeshCluster> &quadMeshes)
{
DBG_PRINT3("CLUSTER MERGING",cluster0.quads.size(),cluster1.quads.size());
QuadMeshCluster quadMesh;
TriangleMesh mesh;
// === cluster0 ===
for (uint32_t i=0;i<cluster0.quads.size();i++)
{
uint32_t v0 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v0 ]);
uint32_t v1 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v1 ]);
uint32_t v2 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v2 ]);
uint32_t v3 = findVertex(mesh.vertices, cluster0.vertices[ cluster0.quads[i].v3 ]);
Triangle tri0(v0,v1,v3);
Triangle tri1(v1,v2,v3);
if (tri0.valid()) mesh.triangles.push_back(tri0);
if (tri1.valid()) mesh.triangles.push_back(tri1);
}
// === cluster1 ===
for (uint32_t i=0;i<cluster1.quads.size();i++)
{
uint32_t v0 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v0 ]);
uint32_t v1 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v1 ]);
uint32_t v2 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v2 ]);
uint32_t v3 = findVertex(mesh.vertices, cluster1.vertices[ cluster1.quads[i].v3 ]);
Triangle tri0(v0,v1,v3);
Triangle tri1(v1,v2,v3);
if (tri0.valid()) mesh.triangles.push_back(tri0);
if (tri1.valid()) mesh.triangles.push_back(tri1);
}
DBG_PRINT(mesh.vertices.size());
DBG_PRINT(mesh.triangles.size());
const uint32_t numTriangles = mesh.triangles.size();
const uint32_t numVertices = mesh.vertices.size();
const uint32_t numIndices = numTriangles*3;
Triangle *new_triangles = new Triangle[numTriangles];
Triangle *triangles = &*mesh.triangles.begin();
Vec3f *vertices = &*mesh.vertices.begin();
const float REDUCTION_FACTOR = 0.5f;
uint32_t expectedTriangles = ceilf(numTriangles * REDUCTION_FACTOR); //floorf((LossyCompressedMeshCluster::MAX_QUADS_PER_CLUSTER * 4) * REDUCTION_FACTOR);
uint32_t iterations = 0;
float max_error = 0.1f;
const float REDUCTION_THRESHOLD = 0.8f;
//while(1)
{
iterations++;
uint32_t opts = meshopt_SimplifyLockBorder;
bool retry = false;
size_t new_numIndices = 0;
while(max_error < 1.0f) {
float result_error = 0.0f;
new_numIndices = meshopt_simplify((uint32_t*)new_triangles,(uint32_t*)triangles,numIndices,(float*)vertices,numVertices,sizeof(Vec3f),expectedTriangles*3,max_error,opts,&result_error);
const size_t new_numTriangles = new_numIndices/3;
DBG_PRINT5("SIMPLIFY",new_numTriangles,numTriangles,expectedTriangles,(float)new_numTriangles / numTriangles);
if ((float)new_numTriangles / numTriangles <= REDUCTION_THRESHOLD) break;
//expectedTriangles += std::max(expectedTriangles/10,(uint32_t)1);
expectedTriangles += expectedTriangles/10;
max_error *= 2;
}
const size_t new_numTriangles = new_numIndices/3;
if ((float)new_numTriangles / numTriangles > REDUCTION_THRESHOLD) { DBG_PRINT5("NOT ENOUGH REDUCTION",numTriangles,new_numTriangles,expectedTriangles,iterations); return false; }
DBG_PRINT2(expectedTriangles,new_numTriangles);
for (size_t i=0; i<new_numTriangles; i++)
{
const int a0 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+0].v0 ]);
const int a1 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+0].v1 ]);
const int a2 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+0].v2 ]);
if (i+1 == new_numTriangles) {
quadMesh.quads.push_back(Quad(a0,a1,a2,a2));
continue;
}
const int b0 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+1].v0 ]);
const int b1 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+1].v1 ]);
const int b2 = findVertex(quadMesh.vertices, mesh.vertices[ new_triangles[i+1].v2 ]);
const std::pair<int,int> q = quad_index3(a0,a1,a2,b0,b1,b2);
const int a3 = q.second;
if (a3 == -1) {
quadMesh.quads.push_back(Quad(a0,a1,a2,a2));
continue;
}
if (q.first == -1) quadMesh.quads.push_back(Quad(a1,a2,a3,a0));
else if (q.first == 0) quadMesh.quads.push_back(Quad(a3,a1,a2,a0));
else if (q.first == 1) quadMesh.quads.push_back(Quad(a0,a1,a3,a2));
else if (q.first == 2) quadMesh.quads.push_back(Quad(a1,a2,a3,a0));
i++;
}
if (quadMesh.quads.size() > LossyCompressedMeshCluster::MAX_QUADS_PER_CLUSTER) { DBG_PRINT2("RETRY quadMesh.quads.size()",quadMesh.quads.size()); retry = true; }
if (quadMesh.vertices.size() > 256) {
DBG_PRINT("RETRY quadMesh.vertices.size()");
retry = true;
}
if (retry)
{
DBG_PRINT("SPLIT DAG");
QuadMeshCluster left, right;
const bool split_success = quadMesh.split(left,right);
DBG_PRINT3(split_success,left.quads.size(),right.quads.size());
if (split_success)
{
quadMeshes.push_back(left);
quadMeshes.push_back(right);
}
else
{
DBG_PRINT("SPLIT FAILED");
return false;
}
}
else
quadMeshes.push_back(quadMesh);
}
DBG_PRINT(quadMeshes.size());
for (uint32_t i=0;i<quadMeshes.size();i++)
DBG_PRINT2(quadMeshes[i].quads.size(),quadMeshes[i].vertices.size());
for (uint32_t i=0;i<quadMeshes.size();i++)
quadMeshes[i].reorderPLOC();
delete [] new_triangles;
return true;
}
// ==========================================================
__forceinline uint32_t remap_vtx_index(const uint32_t v, std::map<uint32_t,uint32_t> &index_map, uint32_t &numLocalIndices)
{
auto e = index_map.find(v);
if (e != index_map.end()) return e->second;
const uint32_t ID = numLocalIndices++;
index_map[v] = ID;
return ID;
}
struct HierarchyRange
{
gpu::Range range;
uint32_t parent, left, right;
uint32_t counter, clusterID;
__forceinline HierarchyRange(const gpu::Range &range, const uint32_t parent = -1) : range(range), parent(parent), left(-1), right(-1), counter(0), clusterID(-1) {}
__forceinline bool isLeaf() { return left == -1 || right == -1; }
};
void extractClusters(const uint32_t currentID, BVH2Node *bvh, std::vector<QuadMeshCluster> &clusters, ISPCQuadMesh* mesh, const uint32_t threshold)
{
if (bvh[currentID].items() < threshold || bvh[currentID].isLeaf())
{
std::vector<uint32_t> IDs;
extractIDs(currentID,bvh,IDs);
std::map<uint32_t,uint32_t> index_map;
uint32_t numLocalIndices = 0;
bool fits = true;
int min_index_delta = 0;
int max_index_delta = 0;
for (uint32_t j=0;j<IDs.size();j++)
{
const uint32_t index = IDs[j];
const uint32_t v0 = mesh->quads[index].v0;
const uint32_t v1 = mesh->quads[index].v1;
const uint32_t v2 = mesh->quads[index].v2;
const uint32_t v3 = mesh->quads[index].v3;
const uint32_t new_v0 = remap_vtx_index(v0,index_map,numLocalIndices);
const uint32_t new_v1 = remap_vtx_index(v1,index_map,numLocalIndices);
const uint32_t new_v2 = remap_vtx_index(v2,index_map,numLocalIndices);
const uint32_t new_v3 = remap_vtx_index(v3,index_map,numLocalIndices);
min_index_delta = std::min(min_index_delta,(int)new_v1 - (int)new_v0);
min_index_delta = std::min(min_index_delta,(int)new_v2 - (int)new_v0);
min_index_delta = std::min(min_index_delta,(int)new_v3 - (int)new_v0);
max_index_delta = std::max(max_index_delta,(int)new_v1 - (int)new_v0);
max_index_delta = std::max(max_index_delta,(int)new_v2 - (int)new_v0);
max_index_delta = std::max(max_index_delta,(int)new_v3 - (int)new_v0);
}
if (index_map.size() > 256)
{
DBG_PRINT2(IDs.size(),index_map.size());
DBG_PRINT2(min_index_delta,max_index_delta);
//FATAL("256");
fits = false;
}
if (fits)
{
QuadMeshCluster cluster;
for (uint32_t j=0;j<IDs.size();j++)
{
const uint32_t index = IDs[j];
const uint32_t v0 = mesh->quads[index].v0;
const uint32_t v1 = mesh->quads[index].v1;
const uint32_t v2 = mesh->quads[index].v2;
const uint32_t v3 = mesh->quads[index].v3;
const uint32_t remaped_v0 = remap_vtx_index(v0,index_map,numLocalIndices);
const uint32_t remaped_v1 = remap_vtx_index(v1,index_map,numLocalIndices);
const uint32_t remaped_v2 = remap_vtx_index(v2,index_map,numLocalIndices);
const uint32_t remaped_v3 = remap_vtx_index(v3,index_map,numLocalIndices);
cluster.quads.push_back(Quad(remaped_v0,remaped_v1,remaped_v2,remaped_v3));
}
cluster.vertices.resize(numLocalIndices);
for (std::map<uint32_t,uint32_t>::iterator i=index_map.begin(); i != index_map.end(); i++)
{
const uint32_t old_v = (*i).first;
const uint32_t new_v = (*i).second;
cluster.vertices[new_v] = mesh->positions[0][old_v];
}
cluster.initBounds();
cluster.depth = 1;
cluster.lod_root = true;
if (cluster.quads.size() > LossyCompressedMeshCluster::MAX_QUADS_PER_CLUSTER) FATAL("cluster.quads");
if (numLocalIndices > 256) FATAL("cluster.vertices");
clusters.push_back(cluster);
return;
}
}
extractClusters(bvh[currentID].leftID,bvh,clusters,mesh,threshold);
extractClusters(bvh[currentID].rightID,bvh,clusters,mesh,threshold);
}
// ======================================================================================================================================================================================
// ======================================================================================================================================================================================
// ======================================================================================================================================================================================
template<typename SpaceCurveType>
std::vector<QuadMeshCluster> extractRangesPLOC(std::vector<SpaceCurveType> &mcodes,const std::vector<BBox3f> &plocBounds, ISPCQuadMesh* mesh, const uint32_t threshold)
{
std::vector<QuadMeshCluster> clusters;
const uint32_t numPrims = mcodes.size();
DBG_PRINT(numPrims);
uint32_t *index_buffer = new uint32_t[numPrims];
uint32_t *tmp_buffer = new uint32_t[numPrims];
uint32_t *nearest_neighborID = new uint32_t[numPrims];
BVH2Node *bvh2 = new BVH2Node[numPrims*2];
for (uint32_t i=0;i<numPrims;i++)
{
const uint32_t ID = mcodes[i].getIndex();
index_buffer[i] = i;
bvh2[i] = BVH2Node(plocBounds[ID],ID);
}
const int SEARCH_RADIUS = 16;
std::atomic<uint32_t> numPrimitives(numPrims);
uint32_t cur_numPrims = numPrims;
while(cur_numPrims > 1)
{
DBG_PRINT(cur_numPrims);
for (uint32_t i=0;i<cur_numPrims;i++)
nearest_neighborID[i] = -1;
#if ENABLE_MT_PREPROCESS == 1
parallel_for((uint32_t)0, cur_numPrims, [&] (const range<uint32_t>& r)
{
for (uint32_t c=r.begin();c<r.end();c++)
#else
for (uint32_t c=0;c<cur_numPrims;c++)
#endif
{
// find nearest neighbor
const uint32_t ID = index_buffer[c];
const BBox3f bounds = bvh2[ID].bounds;
float min_area = pos_inf;
int nn = -1;
int start = std::max((int)c-SEARCH_RADIUS,0);
int end = std::min((int)c+SEARCH_RADIUS+1,(int)cur_numPrims);
int plus = 1;
for (int i=start;i!=end;i+=plus)
if (i != c && index_buffer[i] != -1)
{
const uint32_t merge_ID = index_buffer[i];
BBox3f merged_bounds = bvh2[merge_ID].bounds;
merged_bounds.extend(bounds);
const float areaBounds = area(merged_bounds);
if (areaBounds < min_area)
{
min_area = areaBounds;
nn = i;
}
}
nearest_neighborID[c] = nn;
}
#if ENABLE_MT_PREPROCESS == 1
});
#endif
#if ENABLE_MT_PREPROCESS == 1
parallel_for((uint32_t)0, cur_numPrims, [&] (const range<uint32_t>& r)
{