Update run names inside logs, placements and helper scripts to the new SpatialLM/MetaScenes numbering

I12X/Metascenes2_Spatiallm2_MasterSlam2/placements.json

@@ -1,6 +1,6 @@
 {
- "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam2/layout.txt",
- "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam2/intermediate/aligned.ply",
+ "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm2_MasterSlam2/layout.txt",
+ "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm2_MasterSlam2/intermediate/aligned.ply",
  "ckpt": "ULIP-2-PointBERT-10k-xyzrgb-pc-vit_g-objaverse_shapenet-pretrained.pt",
  "n_cand": 16,
  "w_sem": 1.0,

I12X/Metascenes2_Spatiallm2_MasterSlam2/retrieval.log

@@ -4,4 +4,4 @@ model size:
 32.70M
 [encoder] ULIP-2-PointBERT-10k-xyzrgb-pc-vit_g-objaverse_shapenet-pretrained.pt: 226 tensors, missing [], unexpected []
 [bbox_0] curtain          scan pts  48111  16 cand  best a83e1baf sim 0.373 chamfer 0.131 iou 0.38
-done in 19 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm1_MasterSlam2
+done in 19 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm2_MasterSlam2

I12X/Metascenes3_Spatiallm3_MasterSlam3/placements.json

@@ -1,6 +1,6 @@
 {
- "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam3/layout.txt",
- "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam3/intermediate/aligned.ply",
+ "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm3_MasterSlam3/layout.txt",
+ "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm3_MasterSlam3/intermediate/aligned.ply",
  "ckpt": "ULIP-2-PointBERT-10k-xyzrgb-pc-vit_g-objaverse_shapenet-pretrained.pt",
  "n_cand": 16,
  "w_sem": 1.0,

I12X/Metascenes3_Spatiallm3_MasterSlam3/retrieval.log

@@ -14,4 +14,4 @@ model size:
 [bbox_8] chandelier       scan pts 148793  13 cand  best c64c45bf sim 0.17 chamfer 0.165 iou 0.88
 [bbox_9] curtain          scan pts  20446  16 cand  best b0bd00b7 sim 0.197 chamfer 0.103 iou 0.44
 [bbox_10] curtain          scan pts  42259  16 cand  best 7187bae2 sim 0.31 chamfer 0.163 iou 0.30
-done in 61 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm1_MasterSlam3
+done in 61 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm3_MasterSlam3

I12X/Metascenes4_Spatiallm4_MasterSlam4/placements.json

@@ -1,6 +1,6 @@
 {
- "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam4/layout.txt",
- "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam4/intermediate/aligned.ply",
+ "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm4_MasterSlam4/layout.txt",
+ "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm4_MasterSlam4/intermediate/aligned.ply",
  "ckpt": "ULIP-2-PointBERT-10k-xyzrgb-pc-vit_g-objaverse_shapenet-pretrained.pt",
  "n_cand": 16,
  "w_sem": 1.0,

I12X/Metascenes4_Spatiallm4_MasterSlam4/retrieval.log

@@ -6,4 +6,4 @@ model size:
 [bbox_0] chandelier       scan pts 192446  13 cand  best c64c45bf sim 0.231 chamfer 0.178 iou 0.88
 [bbox_1] chandelier       scan pts 142651  13 cand  best c64c45bf sim 0.211 chamfer 0.208 iou 0.88
 [bbox_2] chandelier       scan pts  54464  13 cand  best 5fc95fdd sim 0.164 chamfer 0.208 iou 0.99
-done in 24 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm1_MasterSlam4
+done in 24 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm4_MasterSlam4

I12X/Metascenes5_Spatiallm5_RTABMAP1/placements.json

@@ -1,6 +1,6 @@
 {
- "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP1/layout.txt",
- "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP1/intermediate/aligned.ply",
+ "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm5_RTABMAP1/layout.txt",
+ "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm5_RTABMAP1/intermediate/aligned.ply",
  "ckpt": "ULIP-2-PointBERT-10k-xyzrgb-pc-vit_g-objaverse_shapenet-pretrained.pt",
  "n_cand": 16,
  "w_sem": 1.0,

I12X/Metascenes5_Spatiallm5_RTABMAP1/retrieval.log

@@ -12,4 +12,4 @@ model size:
 [bbox_6] floor-standing_lamp: no Objaverse-LVIS category, skipped
 [bbox_7] cushion          scan pts    882  16 cand  best 7d52600a sim 0.038 chamfer 0.107 iou 0.91
 [bbox_8] curtain          scan pts   2108  16 cand  best a83e1baf sim 0.19 chamfer 0.095 iou 0.65
-done in 34 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm1_RTABMAP1
+done in 34 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm5_RTABMAP1

I12X/Metascenes6_Spatiallm6_RTABMAP2/placements.json

@@ -1,6 +1,6 @@
 {
- "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP2/layout.txt",
- "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP2/intermediate/aligned.ply",
+ "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm6_RTABMAP2/layout.txt",
+ "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm6_RTABMAP2/intermediate/aligned.ply",
  "ckpt": "ULIP-2-PointBERT-10k-xyzrgb-pc-vit_g-objaverse_shapenet-pretrained.pt",
  "n_cand": 16,
  "w_sem": 1.0,

I12X/Metascenes6_Spatiallm6_RTABMAP2/retrieval.log

@@ -7,4 +7,4 @@ model size:
 [bbox_1] chandelier       scan pts  34527  13 cand  best 6df3fcc1 sim 0.246 chamfer 0.172 iou 0.60
 [bbox_2] chandelier       scan pts  23257  13 cand  best c64c45bf sim 0.233 chamfer 0.136 iou 0.88
 [bbox_5] cushion          scan pts   5108  16 cand  best 4a29a96d sim 0.081 chamfer 0.101 iou 0.26
-done in 23 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm1_RTABMAP2
+done in 23 s -> /home/lehoangan/LHAN/metascenes/out/I12X_Spatiallm6_RTABMAP2

I12X/Spatiallm2_MasterSlam2/pipeline.log

@@ -1,7 +1,7 @@
-[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam2
+[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm2_MasterSlam2
 up axis (input frame) = [0.829 0.064 0.555]  floor=-1.536 ceiling=0.947 raw height=2.483
 scale factor = 1.0471
-wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam2/intermediate/aligned.ply: 4196264 pts, extent min [-1.59 -1.24 -0.71] max [3.93 7.51 2.95]
+wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm2_MasterSlam2/intermediate/aligned.ply: 4196264 pts, extent min [-1.59 -1.24 -0.71] max [3.93 7.51 2.95]
 [pipeline] cropped: kept 1818712/4196264 points
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:47: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
   _TORCH_CUSTOM_FWD = amp.custom_fwd(cast_inputs=torch.float16)
@@ -39,5 +39,5 @@ The attention mask and the pad token id were not set. As a consequence, you may
 Setting `pad_token_id` to `eos_token_id`:None for open-end generation.
 [pipeline] object seed 0 [llama]: ok in 1.0 s
 [pipeline] chosen seed: 2 (wall support 0.45)
-[pipeline] done in 71.2 s: {'walls': 4, 'doors': 0, 'windows': 1, 'boxes': 1} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam2/layout.txt, room.glb
-/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam2/room_with_scan.glb -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam2/room_with_scan_preview.glb: 300,000 points -> tetrahedra (1.5 cm), 33.6 MB buffer
+[pipeline] done in 71.2 s: {'walls': 4, 'doors': 0, 'windows': 1, 'boxes': 1} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm2_MasterSlam2/layout.txt, room.glb
+/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm2_MasterSlam2/room_with_scan.glb -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm2_MasterSlam2/room_with_scan_preview.glb: 300,000 points -> tetrahedra (1.5 cm), 33.6 MB buffer

I12X/Spatiallm3_MasterSlam3/pipeline.log

@@ -1,7 +1,7 @@
-[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam3
+[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm3_MasterSlam3
 up axis (input frame) = [0.882 0.041 0.469]  floor=-1.798 ceiling=2.120 raw height=3.918
 scale factor = 0.6635
-wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam3/intermediate/aligned.ply: 5513479 pts, extent min [-2.73 -3.   -2.63] max [ 5.03 10.21  3.27]
+wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm3_MasterSlam3/intermediate/aligned.ply: 5513479 pts, extent min [-2.73 -3.   -2.63] max [ 5.03 10.21  3.27]
 [pipeline] cropped: kept 2824391/5513479 points
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:47: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
   _TORCH_CUSTOM_FWD = amp.custom_fwd(cast_inputs=torch.float16)
@@ -39,5 +39,5 @@ The attention mask and the pad token id were not set. As a consequence, you may
 Setting `pad_token_id` to `eos_token_id`:None for open-end generation.
 [pipeline] object seed 0 [llama]: ok in 2.4 s
 [pipeline] chosen seed: 1 (wall support 0.37)
-[pipeline] done in 91.7 s: {'walls': 8, 'doors': 2, 'windows': 6, 'boxes': 11} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam3/layout.txt, room.glb
-/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam3/room_with_scan.glb -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam3/room_with_scan_preview.glb: 300,000 points -> tetrahedra (1.5 cm), 33.6 MB buffer
+[pipeline] done in 91.7 s: {'walls': 8, 'doors': 2, 'windows': 6, 'boxes': 11} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm3_MasterSlam3/layout.txt, room.glb
+/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm3_MasterSlam3/room_with_scan.glb -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm3_MasterSlam3/room_with_scan_preview.glb: 300,000 points -> tetrahedra (1.5 cm), 33.6 MB buffer

I12X/Spatiallm4_MasterSlam4/pipeline.log

@@ -1,7 +1,7 @@
-[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam4
+[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm4_MasterSlam4
 up axis (input frame) = [0.908 0.032 0.418]  floor=-3.420 ceiling=2.149 raw height=5.570
 scale factor = 0.4668
-wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam4/intermediate/aligned.ply: 4362681 pts, extent min [-3.53 -7.33 -0.56] max [2.47 2.19 2.74]
+wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm4_MasterSlam4/intermediate/aligned.ply: 4362681 pts, extent min [-3.53 -7.33 -0.56] max [2.47 2.19 2.74]
 [pipeline] cropped: kept 1613633/4362681 points
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:47: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
   _TORCH_CUSTOM_FWD = amp.custom_fwd(cast_inputs=torch.float16)
@@ -39,5 +39,5 @@ The attention mask and the pad token id were not set. As a consequence, you may
 Setting `pad_token_id` to `eos_token_id`:None for open-end generation.
 [pipeline] object seed 0 [llama]: ok in 1.2 s
 [pipeline] chosen seed: 0 (wall support 0.44)
-[pipeline] done in 73.3 s: {'walls': 4, 'doors': 2, 'windows': 1, 'boxes': 3} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam4/layout.txt, room.glb
-/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam4/room_with_scan.glb -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_MasterSlam4/room_with_scan_preview.glb: 300,000 points -> tetrahedra (1.5 cm), 33.6 MB buffer
+[pipeline] done in 73.3 s: {'walls': 4, 'doors': 2, 'windows': 1, 'boxes': 3} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm4_MasterSlam4/layout.txt, room.glb
+/home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm4_MasterSlam4/room_with_scan.glb -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm4_MasterSlam4/room_with_scan_preview.glb: 300,000 points -> tetrahedra (1.5 cm), 33.6 MB buffer

I12X/Spatiallm5_RTABMAP1/pipeline.log

@@ -1,7 +1,7 @@
-[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP1
+[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm5_RTABMAP1
 up axis (input frame) = [-0.018 -0.006 -1.   ]  floor=-1.259 ceiling=1.175 raw height=2.434
 scale factor = 1.0683
-wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP1/intermediate/aligned.ply: 601222 pts, extent min [-1.62 -3.72 -2.01] max [5.51 9.47 2.68]
+wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm5_RTABMAP1/intermediate/aligned.ply: 601222 pts, extent min [-1.62 -3.72 -2.01] max [5.51 9.47 2.68]
 [pipeline] cropped: kept 429260/601222 points
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:47: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
   _TORCH_CUSTOM_FWD = amp.custom_fwd(cast_inputs=torch.float16)
@@ -19,7 +19,11 @@ wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP1/interme
   @_TORCH_CUSTOM_BWD
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:411: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead.
   @_TORCH_CUSTOM_BWD
-
+
+Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
+Loading checkpoint shards:  50%|█████     | 1/2 [00:00<00:00,  2.48it/s]
+Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.83it/s]
+Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.54it/s]
 [pipeline] loaded models/SpatialLM1.1-Llama-1B (bfloat16) in 5.0 s
 [pipeline] thinned cropped.ply with a 4.0 cm voxel to 105982 points
 The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
@@ -36,4 +40,4 @@ The attention mask and the pad token id were not set. As a consequence, you may
 Setting `pad_token_id` to `eos_token_id`:None for open-end generation.
 [pipeline] object seed 0 [llama]: ok in 2.0 s
 [pipeline] chosen seed: 2 (wall support 0.45)
-[pipeline] done in 22.8 s: {'walls': 12, 'doors': 4, 'windows': 2, 'boxes': 9} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP1/layout.txt, room.glb
+[pipeline] done in 22.8 s: {'walls': 12, 'doors': 4, 'windows': 2, 'boxes': 9} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm5_RTABMAP1/layout.txt, room.glb

I12X/Spatiallm6_RTABMAP2/pipeline.log

@@ -1,7 +1,7 @@
-[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP2
+[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm6_RTABMAP2
 up axis (input frame) = [-0.     0.018 -1.   ]  floor=-1.633 ceiling=1.278 raw height=2.911
 scale factor = 0.8932
-wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP2/intermediate/aligned.ply: 778298 pts, extent min [-4.45 -3.67 -2.08] max [1.82 8.73 2.93]
+wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm6_RTABMAP2/intermediate/aligned.ply: 778298 pts, extent min [-4.45 -3.67 -2.08] max [1.82 8.73 2.93]
 [pipeline] cropped: kept 703121/778298 points
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:47: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
   _TORCH_CUSTOM_FWD = amp.custom_fwd(cast_inputs=torch.float16)
@@ -19,7 +19,11 @@ wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP2/interme
   @_TORCH_CUSTOM_BWD
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:411: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead.
   @_TORCH_CUSTOM_BWD
-
+
+Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
+Loading checkpoint shards:  50%|█████     | 1/2 [00:00<00:00,  2.49it/s]
+Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.90it/s]
+Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.59it/s]
 [pipeline] loaded models/SpatialLM1.1-Llama-1B (bfloat16) in 5.0 s
 [pipeline] thinned cropped.ply with a 5.0 cm voxel to 118034 points
 The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
@@ -37,4 +41,4 @@ Setting `pad_token_id` to `eos_token_id`:None for open-end generation.
 [pipeline] object seed 0 [llama]: ok in 34.7 s
 [pipeline] boxes: kept 7 of 182 (dropped repeats and boxes outside the room)
 [pipeline] chosen seed: 1 (wall support 0.61)
-[pipeline] done in 56.2 s: {'walls': 4, 'doors': 1, 'windows': 3, 'boxes': 7} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm1_RTABMAP2/layout.txt, room.glb
+[pipeline] done in 56.2 s: {'walls': 4, 'doors': 1, 'windows': 3, 'boxes': 7} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I12X_Spatiallm6_RTABMAP2/layout.txt, room.glb

I87X/Metascenes2_Spatiallm2_MasterSlam2/placements.json

@@ -1,6 +1,6 @@
 {
- "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm1_MasterSlam2/layout.txt",
- "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm1_MasterSlam2/intermediate/aligned.ply",
+ "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm2_MasterSlam2/layout.txt",
+ "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm2_MasterSlam2/intermediate/aligned.ply",
  "ckpt": "ULIP-2-PointBERT-10k-xyzrgb-pc-vit_g-objaverse_shapenet-pretrained.pt",
  "n_cand": 16,
  "w_sem": 1.0,

I87X/Metascenes2_Spatiallm2_MasterSlam2/retrieval.log

@@ -4,4 +4,4 @@ model size:
 32.70M
 [encoder] ULIP-2-PointBERT-10k-xyzrgb-pc-vit_g-objaverse_shapenet-pretrained.pt: 226 tensors, missing [], unexpected []
 [bbox_0] curtain          scan pts      0  16 cand  best caf84f96 sim None chamfer 0.000 iou 0.16
-done in 15 s -> /home/lehoangan/LHAN/metascenes/out/I87X_Spatiallm1_MasterSlam2
+done in 15 s -> /home/lehoangan/LHAN/metascenes/out/I87X_Spatiallm2_MasterSlam2

I87X/Spatiallm2_MasterSlam2/pipeline.log

@@ -1,4 +1,4 @@
-[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm1_MasterSlam2
+[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm2_MasterSlam2
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:47: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
   _TORCH_CUSTOM_FWD = amp.custom_fwd(cast_inputs=torch.float16)
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:96: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead.
@@ -17,7 +17,7 @@
   @_TORCH_CUSTOM_BWD
 up axis (input frame) = [-0.021 -0.935 -0.354]  floor=-0.562 ceiling=1.845 raw height=2.407
 scale factor = 1.0802
-wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm1_MasterSlam2/intermediate/aligned.ply: 1979769 pts, extent min [-4.2  -4.46 -0.9 ] max [2.46 6.73 2.7 ]
+wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm2_MasterSlam2/intermediate/aligned.ply: 1979769 pts, extent min [-4.2  -4.46 -0.9 ] max [2.46 6.73 2.7 ]
 Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
 Loading checkpoint shards:  50%|█████     | 1/2 [00:00<00:00,  2.18it/s]
 Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.42it/s]
@@ -39,4 +39,4 @@ Setting `pad_token_id` to `eos_token_id`:None for open-end generation.
 [pipeline] object seed 0 [llama]: ok in 5.7 s
 [pipeline] boxes: kept 1 of 29 (dropped repeats and boxes outside the room)
 [pipeline] chosen seed: 0 (wall support 0.33)
-[pipeline] done in 31.2 s: {'walls': 4, 'doors': 1, 'windows': 3, 'boxes': 1} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm1_MasterSlam2/layout.txt, room.glb
+[pipeline] done in 31.2 s: {'walls': 4, 'doors': 1, 'windows': 3, 'boxes': 1} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/I87X_Spatiallm2_MasterSlam2/layout.txt, room.glb

P64/Metascenes1_Spatiallm1_MasterSlam1/ms_all.sh

@@ -2,7 +2,7 @@
 # MetaScenes-style asset replacement for every Spatiallm1_* folder, all runs in parallel, then upload to HF.
 M=~/LHAN/metascenes; V=~/LHAN/SpatialLM/outputs/v2; R=~/LHAN/RoSE
 PY=~/miniconda3/envs/metascenes/bin/python; BPY=~/miniconda3/envs/sam3d-objects/bin/python
-RUNS="Bedroom1_Spatiallm1_MasterSlam1 P63_Spatiallm1_MasterSlam1 P64_Spatiallm1_MasterSlam1 I87X_Spatiallm1_MasterSlam1 I87X_Spatiallm1_MasterSlam2 I12X_Spatiallm1_MasterSlam1 I12X_Spatiallm1_MasterSlam2 I12X_Spatiallm1_MasterSlam3 I12X_Spatiallm1_MasterSlam4"
+RUNS="Bedroom1_Spatiallm1_MasterSlam1 P63_Spatiallm1_MasterSlam1 P64_Spatiallm1_MasterSlam1 I87X_Spatiallm1_MasterSlam1 I87X_Spatiallm2_MasterSlam2 I12X_Spatiallm1_MasterSlam1 I12X_Spatiallm2_MasterSlam2 I12X_Spatiallm3_MasterSlam3 I12X_Spatiallm4_MasterSlam4"
 cd $M/rose
 $PY prefetch.py $(for r in $RUNS; do echo $V/$r/layout.txt; done) 2>&1 | grep -vE "Downloaded|it/s" | tail -n 3
 one() {

P64/Metascenes2_Spatiallm2_RTABMAP1/placements.json

@@ -1,6 +1,6 @@
 {
- "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm1_RTABMAP1/layout.txt",
- "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm1_RTABMAP1/intermediate/aligned.ply",
+ "layout": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm2_RTABMAP1/layout.txt",
+ "cloud": "/home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm2_RTABMAP1/intermediate/aligned.ply",
  "ckpt": "ULIP-2-PointBERT-10k-xyzrgb-pc-vit_g-objaverse_shapenet-pretrained.pt",
  "n_cand": 16,
  "w_sem": 1.0,

P64/Metascenes2_Spatiallm2_RTABMAP1/retrieval.log

@@ -30,4 +30,4 @@ model size:
 [bbox_24] air_conditioner  scan pts   1289  16 cand  best da8f719b sim 0.1 chamfer 0.042 iou 0.86
 [bbox_25] air_conditioner  scan pts    605  16 cand  best da8f719b sim 0.071 chamfer 0.046 iou 0.86
 [bbox_26] painting         scan pts  19661  16 cand  best 49fc5dd4 sim 0.48 chamfer 0.034 iou 0.66
-done in 108 s -> /home/lehoangan/LHAN/metascenes/out/P64_Spatiallm1_RTABMAP1
+done in 108 s -> /home/lehoangan/LHAN/metascenes/out/P64_Spatiallm2_RTABMAP1

P64/Spatiallm2_RTABMAP1/pipeline.log

@@ -1,7 +1,7 @@
-[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm1_RTABMAP1
+[pipeline] output folder: /home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm2_RTABMAP1
 up axis (input frame) = [-0. -0.  1.]  floor=-1.275 ceiling=2.427 raw height=3.702
 scale factor = 0.7023
-wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm1_RTABMAP1/intermediate/aligned.ply: 652783 pts, extent min [-2.05 -3.33 -0.08] max [4.02 3.86 2.71]
+wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm2_RTABMAP1/intermediate/aligned.ply: 652783 pts, extent min [-2.05 -3.33 -0.08] max [4.02 3.86 2.71]
 [pipeline] cropped: kept 652728/652783 points
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:47: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
   _TORCH_CUSTOM_FWD = amp.custom_fwd(cast_inputs=torch.float16)
@@ -19,7 +19,11 @@ wrote /home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm1_RTABMAP1/intermed
   @_TORCH_CUSTOM_BWD
 /home/lehoangan/miniconda3/envs/spatiallm/lib/python3.11/site-packages/spconv/pytorch/functional.py:411: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead.
   @_TORCH_CUSTOM_BWD
-
+
+Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
+Loading checkpoint shards:  50%|█████     | 1/2 [00:00<00:00,  2.48it/s]
+Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.83it/s]
+Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.54it/s]
 [pipeline] loaded models/SpatialLM1.1-Llama-1B (bfloat16) in 5.0 s
 [pipeline] thinned cropped.ply with a 4.0 cm voxel to 119623 points
 The attention mask and the pad token id were not set. As a consequence, you may observe unexpected behavior. Please pass your input's `attention_mask` to obtain reliable results.
@@ -36,4 +40,4 @@ The attention mask and the pad token id were not set. As a consequence, you may
 Setting `pad_token_id` to `eos_token_id`:None for open-end generation.
 [pipeline] object seed 0 [llama]: ok in 5.3 s
 [pipeline] chosen seed: 2 (wall support 0.64)
-[pipeline] done in 24.3 s: {'walls': 10, 'doors': 3, 'windows': 0, 'boxes': 27} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm1_RTABMAP1/layout.txt, room.glb
+[pipeline] done in 24.3 s: {'walls': 10, 'doors': 3, 'windows': 0, 'boxes': 27} -> /home/lehoangan/LHAN/SpatialLM/outputs/v2/P64_Spatiallm2_RTABMAP1/layout.txt, room.glb