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  1. .gitattributes +7 -0
  2. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/background_less_filtered_colored_pointcloud.ply +3 -0
  3. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/background_mesh.obj +0 -0
  4. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/background_more_filtered_colored_pointcloud.ply +3 -0
  5. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/canonical_object_pcd.ply +3 -0
  6. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/canonical_object_pcd_firstframe.ply +0 -0
  7. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/diagnostics.json +8 -0
  8. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/gravity_calibrated_keypoints.h5 +3 -0
  9. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/gravity_calibrated_megahunter.h5 +3 -0
  10. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/log_geocalib.txt +18 -0
  11. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/log_nksr.txt +40 -0
  12. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/log_obj_tracking.txt +910 -0
  13. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/log_sam3d_gen.txt +67 -0
  14. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/object_mesh.ply +0 -0
  15. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/object_pcd_filtered.ply +3 -0
  16. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/object_pcd_filtered_firstframe.ply +0 -0
  17. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/object_pose.h5 +3 -0
  18. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/object_rgba_aligned.png +3 -0
  19. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/object_sam3d_gaussians.ply +3 -0
  20. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/object_sam3d_mesh.glb +3 -0
  21. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/object_sam3d_mesh_posed.glb +3 -0
  22. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/object_sam3d_mesh_transform.npy +3 -0
  23. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/raw_object_edges.pt +3 -0
  24. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/raw_object_poses.pt +3 -0
  25. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/vis_corresp_alltracker.mp4 +3 -0
  26. megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/vis_corresp_ufm.mp4 +3 -0
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+ "ransac_inlier_std_thresh": 0.05,
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+ "ransac_inlier_dist_thresh": 0.5
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megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/log_geocalib.txt ADDED
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+ /home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2
+ import pynvml # type: ignore[import]
3
+ Loading data from ./demo_data/output_smpl_and_points/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1.h5
4
+ Processing single person: 1
5
+ Using device: cuda
6
+ Running GeoCalib
7
+ Geocalib process time: 0.86 seconds
8
+
9
+ Estimated parameters (Pred):
10
+ Roll: -1.5° (± 1.0)°
11
+ Pitch: -10.8° (± 2.9)°
12
+ vFoV: 62.9° (± 9.9)°
13
+ Focal: 235.4 px (± 32.2 px)
14
+ Computed world rotation matrix
15
+ Processing SMPL data...
16
+ Saved gravity calibrated keypoints to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/gravity_calibrated_keypoints.h5
17
+ Applying gravity calibration to world environment...
18
+ Saved gravity calibrated megahunter data to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/gravity_calibrated_megahunter.h5
megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/log_nksr.txt ADDED
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+ /home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2
+ import pynvml # type: ignore[import]
3
+ Loading calibrated data from ./demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/gravity_calibrated_megahunter.h5
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+ Processing single person for mesh generation: 1
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+ Collecting and filtering points and colors...
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+ Total unique frames: 172
7
+ Frame coverage per person: [('1', 172)]
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+ Collecting and filtering points and colors process time: 7.05 seconds
9
+ [11-26 07:45:40] WARNING Customized build of Open3D is not detected, to resolve this you can do: o3d.py:11
10
+ pip install open3d_pycg_cpu -f https://pycg.huangjh.tech/packages/index.html
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+ [11-26 07:45:41] WARNING Failed to obtain monitor info! vis.py:43
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+ Before voxel downsampling shape: (5649194, 3)
13
+ After voxel downsampling shape: (18540, 3)
14
+
15
+ ================================================================================
16
+ NKSR INPUT POINT CLOUD STATISTICS:
17
+ Points: 18540
18
+ Bounds X: [-1.4193, 0.9121]
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+ Bounds Y: [0.9635, 4.6793]
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+ Bounds Z: [-0.8492, 1.4769]
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+ Center: [0.0177, 3.0898, -0.2375]
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+ Std dev: [0.6736, 0.9295, 0.6004]
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+ ================================================================================
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+ ⚠ Removed 2499 duplicate points
25
+ After cleanup: 16041 points
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+ First round of NKSR meshification
27
+ Trying config 1/4: Fine (detail=0.1, tol=1e-5)
28
+ [11-26 07:45:43] INFO Input scale factor: 0.9778 __init__.py:230
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+ WARNING Symblk-CG-Jacobi-Cuda does not converge in 2000 iterations. solver.py:68
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+ ✓ Config 1 succeeded: 4878 vertices, 9266 faces
31
+ Second round of NKSR meshification (with hole filling)
32
+ Trying config 1/4: Fine (detail=0.1, tol=1e-5)
33
+ [11-26 07:46:17] INFO Input scale factor: 2.8751 __init__.py:230
34
+ [11-26 07:46:18] WARNING Symblk-CG-Jacobi-Cuda does not converge in 2000 iterations. solver.py:68
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+ ✓ Config 1 succeeded: 67579 vertices, 131669 faces
36
+ Background meshifying process time: 37.65 seconds
37
+ Saving mesh generation outputs...
38
+ Saved mesh to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/background_mesh.obj
39
+ Saved colored pointcloud to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/background_less_filtered_colored_pointcloud.ply
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+ Saved colored pointcloud to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/background_more_filtered_colored_pointcloud.ply
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+ /home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
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+ import pynvml # type: ignore[import]
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+ Loaded weights from https://huggingface.co/aharley/alltracker/resolve/main/alltracker.pth
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+
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+
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+ Add edge 100-102, density=0.583738386631012
508
+ Add edge 98-102, density=0.6593018174171448
509
+ Add edge 97-102, density=0.3893062174320221
510
+ Creating new keyframe at frame 00103
511
+ Add edge 102-103, density=0.89497309923172
512
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+ Add edge 99-103, density=0.6000897884368896
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515
+ Add edge 102-104, density=0.5175238847732544
516
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517
+ Add edge 104-105, density=1.0
518
+ Add edge 103-105, density=0.8248613476753235
519
+ Add edge 102-105, density=0.6025878190994263
520
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521
+ Add edge 105-106, density=1.0
522
+ Add edge 104-106, density=1.0
523
+ Add edge 102-106, density=0.6297158598899841
524
+ Add edge 98-106, density=0.2906380891799927
525
+ Add edge 106-107, density=1.0
526
+ Add edge 105-107, density=1.0
527
+ Add edge 103-107, density=0.9214953184127808
528
+ Add edge 102-107, density=0.627102792263031
529
+ Add edge 99-107, density=0.365887850522995
530
+ Add edge 107-108, density=1.0
531
+ Add edge 106-108, density=1.0
532
+ Add edge 104-108, density=1.0
533
+ Add edge 102-108, density=0.6251162886619568
534
+ Add edge 100-108, density=0.3827906847000122
535
+ Add edge 108-109, density=1.0
536
+ Add edge 107-109, density=1.0
537
+ Add edge 105-109, density=1.0
538
+ Add edge 102-109, density=0.684407114982605
539
+ Add edge 101-109, density=0.6209150552749634
540
+ Add edge 109-110, density=1.0
541
+ Add edge 108-110, density=1.0
542
+ Add edge 106-110, density=1.0
543
+ Add edge 102-110, density=0.8267898559570312
544
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545
+ Add edge 109-111, density=1.0
546
+ Add edge 107-111, density=1.0
547
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550
+ Add edge 110-112, density=1.0
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+ Add edge 108-112, density=1.0
552
+ Add edge 104-112, density=1.0
553
+ Add edge 102-112, density=0.9028359055519104
554
+ Add edge 112-113, density=1.0
555
+ Add edge 111-113, density=1.0
556
+ Add edge 109-113, density=1.0
557
+ Add edge 105-113, density=1.0
558
+ Add edge 102-113, density=0.9087963104248047
559
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560
+ Add edge 112-114, density=1.0
561
+ Add edge 110-114, density=1.0
562
+ Add edge 106-114, density=1.0
563
+ Add edge 102-114, density=0.9063513875007629
564
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565
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+ Add edge 113-115, density=1.0
567
+ Add edge 111-115, density=1.0
568
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+ Add edge 102-115, density=0.9026182889938354
570
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571
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572
+ Add edge 114-116, density=1.0
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+ Add edge 112-116, density=1.0
574
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+ Add edge 102-116, density=0.8828375339508057
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578
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+ Add edge 113-117, density=0.9886826872825623
580
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582
+ Add edge 101-117, density=0.3689452111721039
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+ Add edge 117-118, density=0.9986510872840881
584
+ Add edge 116-118, density=0.9878597259521484
585
+ Add edge 114-118, density=0.9716726541519165
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+ Add edge 110-118, density=0.972122311592102
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+ Add edge 102-118, density=0.627248227596283
588
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589
+ Add edge 117-119, density=0.9799376130104065
590
+ Add edge 115-119, density=0.9634418487548828
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+ Add edge 103-119, density=0.8274632096290588
593
+ Add edge 102-119, density=0.49308961629867554
594
+ Creating new keyframe at frame 00120
595
+ Add edge 119-120, density=1.0
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+ Add edge 118-120, density=0.9938730597496033
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+ Add edge 116-120, density=0.949671745300293
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+ Add edge 112-120, density=0.949671745300293
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600
+ Add edge 120-121, density=1.0
601
+ Add edge 119-121, density=0.9969696998596191
602
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603
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604
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605
+ Add edge 121-122, density=1.0
606
+ Add edge 120-122, density=0.9991227984428406
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+ Add edge 119-122, density=0.9916666746139526
608
+ Add edge 118-122, density=0.9763157963752747
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+ Add edge 114-122, density=0.9429824352264404
610
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611
+ Add edge 122-123, density=1.0
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+ Add edge 121-123, density=1.0
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+ Add edge 119-123, density=0.9921225309371948
614
+ Add edge 115-123, density=0.9391685128211975
615
+ Add edge 107-123, density=0.9177243113517761
616
+ Add edge 123-124, density=1.0
617
+ Add edge 122-124, density=1.0
618
+ Add edge 120-124, density=0.99956214427948
619
+ Add edge 119-124, density=0.9833624958992004
620
+ Add edge 116-124, density=0.9045534133911133
621
+ Add edge 108-124, density=0.9203152656555176
622
+ Add edge 124-125, density=1.0
623
+ Add edge 123-125, density=1.0
624
+ Add edge 121-125, density=1.0
625
+ Add edge 119-125, density=0.9803235530853271
626
+ Add edge 117-125, density=0.9470922350883484
627
+ Add edge 109-125, density=0.8924354910850525
628
+ Add edge 125-126, density=1.0
629
+ Add edge 124-126, density=1.0
630
+ Add edge 122-126, density=0.9995644688606262
631
+ Add edge 119-126, density=0.9790940880775452
632
+ Add edge 118-126, density=0.9359756112098694
633
+ Add edge 110-126, density=0.8780487775802612
634
+ Add edge 126-127, density=1.0
635
+ Add edge 125-127, density=1.0
636
+ Add edge 123-127, density=1.0
637
+ Add edge 119-127, density=0.9856521487236023
638
+ Add edge 111-127, density=0.8704347610473633
639
+ Add edge 127-128, density=1.0
640
+ Add edge 126-128, density=1.0
641
+ Add edge 124-128, density=1.0
642
+ Add edge 120-128, density=0.9986996054649353
643
+ Add edge 119-128, density=0.9856957197189331
644
+ Add edge 112-128, density=0.8742955923080444
645
+ Add edge 128-129, density=1.0
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+ Add edge 127-129, density=1.0
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+ Add edge 125-129, density=1.0
648
+ Add edge 121-129, density=0.9935539364814758
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+ Add edge 119-129, density=0.9892565608024597
650
+ Add edge 113-129, density=0.8904168605804443
651
+ Add edge 129-130, density=1.0
652
+ Add edge 128-130, density=1.0
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+
654
+ Add edge 122-130, density=0.99956876039505
655
+ Add edge 119-130, density=0.9900819063186646
656
+ Add edge 114-130, density=0.9124622941017151
657
+ Add edge 130-131, density=1.0
658
+ Add edge 129-131, density=1.0
659
+ Add edge 127-131, density=1.0
660
+ Add edge 123-131, density=1.0
661
+ Add edge 119-131, density=0.9912511110305786
662
+ Add edge 115-131, density=0.9225721955299377
663
+ Add edge 131-132, density=1.0
664
+ Add edge 130-132, density=1.0
665
+ Add edge 128-132, density=1.0
666
+ Add edge 124-132, density=1.0
667
+ Add edge 119-132, density=0.9887882471084595
668
+ Add edge 116-132, density=0.9305735230445862
669
+ Add edge 132-133, density=1.0
670
+ Add edge 131-133, density=1.0
671
+ Add edge 129-133, density=1.0
672
+ Add edge 125-133, density=1.0
673
+ Add edge 119-133, density=0.985873281955719
674
+ Add edge 117-133, density=0.8938356041908264
675
+ Add edge 133-134, density=1.0
676
+ Add edge 132-134, density=1.0
677
+ Add edge 130-134, density=1.0
678
+ Add edge 126-134, density=1.0
679
+ Add edge 119-134, density=0.9519480466842651
680
+ Add edge 118-134, density=0.8670995831489563
681
+ Add edge 134-135, density=1.0
682
+ Add edge 133-135, density=1.0
683
+ Add edge 131-135, density=1.0
684
+ Add edge 127-135, density=1.0
685
+ Add edge 119-135, density=0.9031277298927307
686
+ Add edge 135-136, density=1.0
687
+ Add edge 134-136, density=1.0
688
+ Add edge 132-136, density=1.0
689
+ Add edge 128-136, density=1.0
690
+ Add edge 120-136, density=1.0
691
+ Add edge 119-136, density=0.9551979303359985
692
+ Add edge 136-137, density=1.0
693
+ Add edge 135-137, density=1.0
694
+ Add edge 133-137, density=1.0
695
+ Add edge 129-137, density=1.0
696
+ Add edge 121-137, density=1.0
697
+ Add edge 119-137, density=0.983116865158081
698
+ Add edge 137-138, density=1.0
699
+ Add edge 136-138, density=1.0
700
+ Add edge 134-138, density=1.0
701
+ Add edge 130-138, density=1.0
702
+ Add edge 122-138, density=0.9973969459533691
703
+ Add edge 119-138, density=0.9770064949989319
704
+ Add edge 138-139, density=1.0
705
+ Add edge 137-139, density=1.0
706
+ Add edge 135-139, density=1.0
707
+ Add edge 131-139, density=1.0
708
+ Add edge 123-139, density=0.9969956874847412
709
+ Add edge 119-139, density=0.9343347549438477
710
+ Add edge 139-140, density=1.0
711
+ Add edge 138-140, density=1.0
712
+ Add edge 136-140, density=1.0
713
+ Add edge 132-140, density=1.0
714
+ Add edge 124-140, density=1.0
715
+ Add edge 119-140, density=0.9332759380340576
716
+ Add edge 140-141, density=1.0
717
+ Add edge 139-141, density=1.0
718
+ Add edge 137-141, density=1.0
719
+ Add edge 133-141, density=1.0
720
+ Add edge 125-141, density=1.0
721
+ Add edge 119-141, density=0.8584415316581726
722
+ Add edge 141-142, density=1.0
723
+ Add edge 140-142, density=1.0
724
+ Add edge 138-142, density=1.0
725
+ Add edge 134-142, density=1.0
726
+ Add edge 126-142, density=1.0
727
+ Add edge 119-142, density=0.7513135075569153
728
+ Add edge 142-143, density=1.0
729
+ Add edge 141-143, density=1.0
730
+ Add edge 139-143, density=1.0
731
+ Add edge 135-143, density=1.0
732
+ Add edge 127-143, density=0.9899078607559204
733
+ Add edge 119-143, density=0.7586660981178284
734
+ Add edge 143-144, density=1.0
735
+ Add edge 142-144, density=1.0
736
+ Add edge 140-144, density=1.0
737
+ Add edge 136-144, density=1.0
738
+ Add edge 128-144, density=1.0
739
+ Add edge 119-144, density=0.748792290687561
740
+ Add edge 144-145, density=1.0
741
+ Add edge 143-145, density=1.0
742
+ Add edge 141-145, density=1.0
743
+ Add edge 137-145, density=1.0
744
+ Add edge 129-145, density=1.0
745
+ Add edge 119-145, density=0.772747278213501
746
+ Add edge 145-146, density=1.0
747
+ Add edge 144-146, density=1.0
748
+ Add edge 142-146, density=1.0
749
+ Add edge 138-146, density=1.0
750
+ Add edge 130-146, density=1.0
751
+ Add edge 119-146, density=0.7395696043968201
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+ Add edge 146-147, density=1.0
753
+ Add edge 145-147, density=1.0
754
+ Add edge 143-147, density=1.0
755
+ Add edge 139-147, density=1.0
756
+ Add edge 131-147, density=1.0
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+ Add edge 119-147, density=0.7773386240005493
758
+ Add edge 147-148, density=1.0
759
+ Add edge 146-148, density=1.0
760
+ Add edge 144-148, density=1.0
761
+ Add edge 140-148, density=1.0
762
+ Add edge 132-148, density=1.0
763
+ Add edge 119-148, density=0.8422671556472778
764
+ Add edge 148-149, density=1.0
765
+ Add edge 147-149, density=1.0
766
+ Add edge 145-149, density=1.0
767
+ Add edge 141-149, density=1.0
768
+ Add edge 133-149, density=1.0
769
+ Add edge 119-149, density=0.8707840442657471
770
+ Add edge 149-150, density=1.0
771
+ Add edge 148-150, density=1.0
772
+ Add edge 146-150, density=1.0
773
+ Add edge 142-150, density=1.0
774
+ Add edge 134-150, density=1.0
775
+ Add edge 119-150, density=0.7725679278373718
776
+ Add edge 150-151, density=1.0
777
+ Add edge 149-151, density=1.0
778
+ Add edge 147-151, density=1.0
779
+ Add edge 143-151, density=1.0
780
+ Add edge 135-151, density=1.0
781
+ Add edge 119-151, density=0.850811779499054
782
+ Add edge 151-152, density=1.0
783
+ Add edge 150-152, density=1.0
784
+ Add edge 148-152, density=1.0
785
+ Add edge 144-152, density=1.0
786
+ Add edge 136-152, density=1.0
787
+ Add edge 119-152, density=0.8944371342658997
788
+ Add edge 152-153, density=1.0
789
+ Add edge 151-153, density=1.0
790
+ Add edge 149-153, density=1.0
791
+ Add edge 145-153, density=1.0
792
+ Add edge 137-153, density=1.0
793
+ Add edge 119-153, density=0.8861429691314697
794
+ Add edge 153-154, density=1.0
795
+ Add edge 152-154, density=1.0
796
+ Add edge 150-154, density=1.0
797
+ Add edge 146-154, density=1.0
798
+ Add edge 138-154, density=1.0
799
+ Add edge 119-154, density=0.8736239671707153
800
+ Add edge 154-155, density=1.0
801
+ Add edge 153-155, density=1.0
802
+ Add edge 151-155, density=1.0
803
+ Add edge 147-155, density=1.0
804
+ Add edge 139-155, density=1.0
805
+ Add edge 119-155, density=0.897851824760437
806
+ Add edge 155-156, density=1.0
807
+ Add edge 154-156, density=1.0
808
+ Add edge 152-156, density=1.0
809
+ Add edge 148-156, density=1.0
810
+ Add edge 140-156, density=1.0
811
+ Add edge 119-156, density=0.8981930613517761
812
+ Add edge 156-157, density=1.0
813
+ Add edge 155-157, density=1.0
814
+ Add edge 153-157, density=1.0
815
+ Add edge 149-157, density=1.0
816
+ Add edge 141-157, density=1.0
817
+ Add edge 119-157, density=0.9026431441307068
818
+ Add edge 157-158, density=1.0
819
+ Add edge 156-158, density=1.0
820
+ Add edge 154-158, density=1.0
821
+ Add edge 150-158, density=1.0
822
+ Add edge 142-158, density=1.0
823
+ Add edge 119-158, density=0.8942265510559082
824
+ Add edge 158-159, density=1.0
825
+ Add edge 157-159, density=1.0
826
+ Add edge 155-159, density=1.0
827
+ Add edge 151-159, density=1.0
828
+ Add edge 143-159, density=1.0
829
+ Add edge 119-159, density=0.908410370349884
830
+ Add edge 159-160, density=1.0
831
+ Add edge 158-160, density=1.0
832
+ Add edge 156-160, density=1.0
833
+ Add edge 152-160, density=1.0
834
+ Add edge 144-160, density=1.0
835
+ Add edge 119-160, density=0.9122502207756042
836
+ Add edge 160-161, density=1.0
837
+ Add edge 159-161, density=1.0
838
+ Add edge 157-161, density=1.0
839
+ Add edge 153-161, density=1.0
840
+ Add edge 145-161, density=1.0
841
+ Add edge 119-161, density=0.915180504322052
842
+ Add edge 161-162, density=1.0
843
+ Add edge 160-162, density=1.0
844
+ Add edge 158-162, density=1.0
845
+ Add edge 154-162, density=1.0
846
+ Add edge 146-162, density=1.0
847
+ Add edge 119-162, density=0.8928884863853455
848
+ Add edge 162-163, density=1.0
849
+ Add edge 161-163, density=1.0
850
+ Add edge 159-163, density=1.0
851
+ Add edge 155-163, density=1.0
852
+ Add edge 147-163, density=1.0
853
+ Add edge 119-163, density=0.891218900680542
854
+ Add edge 163-164, density=1.0
855
+ Add edge 162-164, density=1.0
856
+ Add edge 160-164, density=1.0
857
+ Add edge 156-164, density=1.0
858
+ Add edge 148-164, density=1.0
859
+ Add edge 119-164, density=0.8608202338218689
860
+ Add edge 164-165, density=1.0
861
+ Add edge 163-165, density=1.0
862
+ Add edge 161-165, density=1.0
863
+ Add edge 157-165, density=1.0
864
+ Add edge 149-165, density=1.0
865
+ Add edge 119-165, density=0.8488675951957703
866
+ Add edge 165-166, density=1.0
867
+ Add edge 164-166, density=1.0
868
+ Add edge 162-166, density=1.0
869
+ Add edge 158-166, density=1.0
870
+ Add edge 150-166, density=1.0
871
+ Add edge 119-166, density=0.7948381304740906
872
+ Add edge 166-167, density=1.0
873
+ Add edge 165-167, density=1.0
874
+ Add edge 163-167, density=1.0
875
+ Add edge 159-167, density=1.0
876
+ Add edge 151-167, density=1.0
877
+ Add edge 119-167, density=0.8443087935447693
878
+ Add edge 167-168, density=1.0
879
+ Add edge 166-168, density=1.0
880
+ Add edge 164-168, density=1.0
881
+ Add edge 160-168, density=1.0
882
+ Add edge 152-168, density=1.0
883
+ Add edge 119-168, density=0.870491087436676
884
+ Add edge 168-169, density=1.0
885
+ Add edge 167-169, density=1.0
886
+ Add edge 165-169, density=1.0
887
+ Add edge 161-169, density=1.0
888
+ Add edge 153-169, density=1.0
889
+ Add edge 119-169, density=0.8764731287956238
890
+ Add edge 169-170, density=1.0
891
+ Add edge 168-170, density=1.0
892
+ Add edge 166-170, density=1.0
893
+ Add edge 162-170, density=1.0
894
+ Add edge 154-170, density=1.0
895
+ Add edge 119-170, density=0.8834061026573181
896
+ Add edge 170-171, density=1.0
897
+ Add edge 169-171, density=1.0
898
+ Add edge 167-171, density=1.0
899
+ Add edge 163-171, density=1.0
900
+ Add edge 155-171, density=1.0
901
+
902
+ Add edge 119-171, density=0.8770706057548523
903
+ 📊 Statistical outlier filtering: neighbors=20, std_ratio=2.5
904
+ Kept 240847/245907 points (97.9%)
905
+ 🎯 Radius outlier filtering: min_points=6, radius=0.009534408415768424
906
+ Kept 240739/240847 points (100.0%)
907
+ 📊 Statistical outlier filtering: neighbors=20, std_ratio=2.5
908
+ Kept 2013/2052 points (98.1%)
909
+ 🎯 Radius outlier filtering: min_points=6, radius=0.007789072173425964
910
+ Kept 42/2013 points (2.1%)
megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/log_sam3d_gen.txt ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ /home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2
+ import pynvml # type: ignore[import]
3
+ 2025-11-26 07:54:02.078 | INFO | sam3d_objects.pipeline.inference_pipeline:set_attention_backend:15 - GPU name is NVIDIA RTX 5000 Ada Generation
4
+ /home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/lightning/fabric/__init__.py:41: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
5
+ 2025-11-26 07:54:03.629 | INFO | sam3d_objects.model.backbone.tdfy_dit.modules.sparse:__from_env:39 - [SPARSE] Backend: spconv, Attention: sdpa
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+ 2025-11-26 07:54:06.586 | INFO | sam3d_objects.model.backbone.tdfy_dit.modules.attention:__from_env:30 - [ATTENTION] Using backend: sdpa
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+ 2025-11-26 07:54:07.743 | WARNING | sam3d_objects.data.dataset.tdfy.preprocessor:__post_init__:51 - No rgb pointmap normalizer provided, using scale + shift
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+ 2025-11-26 07:54:07.743 | WARNING | sam3d_objects.data.dataset.tdfy.preprocessor:__post_init__:51 - No rgb pointmap normalizer provided, using scale + shift
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+ 2025-11-26 07:54:08.412 | WARNING | sam3d_objects.data.dataset.tdfy.preprocessor:__post_init__:51 - No rgb pointmap normalizer provided, using scale + shift
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+ /home/yinshaofeng/third_party/moge/moge/model/v1.py:172: UserWarning: The following deprecated/invalid arguments are ignored: {'output_mask': True, 'split_head': True}
11
+ warnings.warn(f"The following deprecated/invalid arguments are ignored: {deprecated_kwargs}")
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+ 2025-11-26 07:54:11.606 | WARNING | sam3d_objects.data.dataset.tdfy.preprocessor:__post_init__:51 - No rgb pointmap normalizer provided, using scale + shift
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+ 2025-11-26 07:54:11.607 | INFO | sam3d_objects.pipeline.inference_pipeline:__init__:98 - self.device: cuda
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+ 2025-11-26 07:54:11.607 | INFO | sam3d_objects.pipeline.inference_pipeline:__init__:99 - CUDA_VISIBLE_DEVICES: 1
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+ 2025-11-26 07:54:11.607 | INFO | sam3d_objects.pipeline.inference_pipeline:__init__:100 - Actually using GPU: 0
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+ 2025-11-26 07:54:11.607 | INFO | sam3d_objects.pipeline.inference_pipeline:init_pose_decoder:295 - Using pose decoder: ScaleShiftInvariant
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+ 2025-11-26 07:54:11.607 | INFO | sam3d_objects.pipeline.inference_pipeline:__init__:131 - Loading model weights...
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+ 2025-11-26 07:54:11.710 | INFO | sam3d_objects.model.io:load_model_from_checkpoint:158 - Loading checkpoint from assets/ckpt_sam3dobjects/sam-3d-objects/checkpoints/ss_generator.ckpt
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+ 2025-11-26 07:54:16.408 | INFO | sam3d_objects.model.io:load_model_from_checkpoint:158 - Loading checkpoint from assets/ckpt_sam3dobjects/sam-3d-objects/checkpoints/slat_generator.ckpt
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+ 2025-11-26 07:54:17.280 | INFO | sam3d_objects.model.io:load_model_from_checkpoint:158 - Loading checkpoint from assets/ckpt_sam3dobjects/sam-3d-objects/checkpoints/ss_decoder.ckpt
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+ 2025-11-26 07:54:17.391 | INFO | sam3d_objects.model.io:load_model_from_checkpoint:158 - Loading checkpoint from assets/ckpt_sam3dobjects/sam-3d-objects/checkpoints/slat_decoder_gs.ckpt
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+ 2025-11-26 07:54:17.485 | INFO | sam3d_objects.model.io:load_model_from_checkpoint:158 - Loading checkpoint from assets/ckpt_sam3dobjects/sam-3d-objects/checkpoints/slat_decoder_gs_4.ckpt
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+ 2025-11-26 07:54:17.572 | INFO | sam3d_objects.model.io:load_model_from_checkpoint:158 - Loading checkpoint from assets/ckpt_sam3dobjects/sam-3d-objects/checkpoints/slat_decoder_mesh.ckpt
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+ 2025-11-26 07:54:17.680 | INFO | sam3d_objects.model.backbone.dit.embedder.dino:__init__:31 - Loading DINO model: dinov2_vitl14_reg from facebookresearch/dinov2 (source: github)
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+ 2025-11-26 07:54:18.548 | INFO | sam3d_objects.model.backbone.dit.embedder.dino:__init__:44 - Loaded DINO model - type: <class 'dinov2.models.vision_transformer.DinoVisionTransformer'>, embed_dim: 1024, patch_size: (14, 14)
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+ 2025-11-26 07:54:18.551 | INFO | sam3d_objects.model.backbone.dit.embedder.dino:__init__:31 - Loading DINO model: dinov2_vitl14_reg from facebookresearch/dinov2 (source: github)
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+ 2025-11-26 07:54:19.002 | INFO | sam3d_objects.model.backbone.dit.embedder.dino:__init__:44 - Loaded DINO model - type: <class 'dinov2.models.vision_transformer.DinoVisionTransformer'>, embed_dim: 1024, patch_size: (14, 14)
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+ 2025-11-26 07:54:19.012 | INFO | sam3d_objects.model.io:load_model_from_checkpoint:158 - Loading checkpoint from assets/ckpt_sam3dobjects/sam-3d-objects/checkpoints/ss_generator.ckpt
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+ 2025-11-26 07:54:21.148 | INFO | sam3d_objects.model.backbone.dit.embedder.dino:__init__:31 - Loading DINO model: dinov2_vitl14_reg from facebookresearch/dinov2 (source: github)
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+ 2025-11-26 07:54:21.601 | INFO | sam3d_objects.model.backbone.dit.embedder.dino:__init__:44 - Loaded DINO model - type: <class 'dinov2.models.vision_transformer.DinoVisionTransformer'>, embed_dim: 1024, patch_size: (14, 14)
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+ 2025-11-26 07:54:21.604 | INFO | sam3d_objects.model.backbone.dit.embedder.dino:__init__:31 - Loading DINO model: dinov2_vitl14_reg from facebookresearch/dinov2 (source: github)
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+ 2025-11-26 07:54:22.054 | INFO | sam3d_objects.model.backbone.dit.embedder.dino:__init__:44 - Loaded DINO model - type: <class 'dinov2.models.vision_transformer.DinoVisionTransformer'>, embed_dim: 1024, patch_size: (14, 14)
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+ 2025-11-26 07:54:22.059 | INFO | sam3d_objects.model.io:load_model_from_checkpoint:158 - Loading checkpoint from assets/ckpt_sam3dobjects/sam-3d-objects/checkpoints/slat_generator.ckpt
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+ 2025-11-26 07:54:23.198 | INFO | sam3d_objects.pipeline.inference_pipeline:override_ss_generator_cfg_config:436 - ss_generator parameters: inference_steps=25, cfg_strength=7, cfg_interval=[0, 500], rescale_t=3, cfg_strength_pm=0.0
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+ 2025-11-26 07:54:23.198 | INFO | sam3d_objects.pipeline.inference_pipeline:override_slat_generator_cfg_config:458 - slat_generator parameters: inference_steps=25, cfg_strength=1, cfg_interval=[0, 500], rescale_t=1
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+ 2025-11-26 07:54:23.199 | INFO | sam3d_objects.pipeline.inference_pipeline:__init__:196 - Loading model weights completed!
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+ 2025-11-26 07:54:23.304 | INFO | sam3d_objects.pipeline.inference_pipeline:sample_sparse_structure:662 - Sampling sparse structure: inference_steps=25, strength=7, interval=[0, 500], rescale_t=3, cfg_strength_pm=0.0
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+ 2025-11-26 07:54:23.305 | INFO | sam3d_objects.pipeline.inference_pipeline:get_condition_input:631 - Running condition embedder ...
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+ 2025-11-26 07:54:23.475 | INFO | sam3d_objects.pipeline.inference_pipeline:get_condition_input:635 - Condition embedder finishes!
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+ 2025-11-26 07:54:28.197 | INFO | sam3d_objects.pipeline.inference_pipeline:sample_sparse_structure:712 - Downsampled coords from 25655 to 25048
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+ 2025-11-26 07:54:28.210 | INFO | sam3d_objects.pipeline.inference_pipeline_pointmap:run:367 - Rescaling scale by 1 after downsampling
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+ 2025-11-26 07:54:28.210 | INFO | sam3d_objects.pipeline.inference_pipeline:sample_slat:742 - Sampling sparse latent: inference_steps=25, strength=1, interval=[0, 500], rescale_t=1
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+ 2025-11-26 07:54:28.210 | INFO | sam3d_objects.pipeline.inference_pipeline:get_condition_input:631 - Running condition embedder ...
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+ 2025-11-26 07:54:28.253 | INFO | sam3d_objects.pipeline.inference_pipeline:get_condition_input:635 - Condition embedder finishes!
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+ 2025-11-26 07:54:36.042 | INFO | sam3d_objects.pipeline.inference_pipeline:decode_slat:604 - Decoding sparse latent...
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+ 2025-11-26 07:54:50.295 | INFO | sam3d_objects.pipeline.inference_pipeline:postprocess_slat_output:538 - Postprocessing mesh with option with_mesh_postprocess True, with_texture_baking True...
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+ /home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/torch/utils/cpp_extension.py:1964: UserWarning: TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation.
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+ If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'].
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+ warnings.warn(
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+ [SPARSE][CONV] spconv algo: auto
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+ Warp 1.9.1 initialized:
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+ CUDA Toolkit 12.8, Driver 12.8
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+ Devices:
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+ "cpu" : "x86_64"
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+ "cuda:0" : "NVIDIA RTX 5000 Ada Generation" (31 GiB, sm_89, mempool enabled)
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+ Kernel cache:
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+ /home/yinshaofeng/.cache/warp/1.9.1
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+ INFO- Loaded 11421 vertices and 22748 faces.
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+
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+
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+
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+ 2025-11-26 07:55:10.854 | INFO | sam3d_objects.pipeline.inference_pipeline_pointmap:run:401 - Running layout post optimization method...
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+ 2025-11-26 07:55:10.923 | INFO | sam3d_objects.pipeline.inference_pipeline_pointmap:run:415 - Finished!
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+ Path length 0.663043846851098
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+ Path jerk magnitude 4.519901251434647e-05
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+ Path jerk magnitude (smoothed) 1.0343021696819655e-07
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+
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