Add SLAT target documentation and previews

.gitattributes

@@ -63,3 +63,4 @@ previews/3dfront/train-geometry.glb filter=lfs diff=lfs merge=lfs -text
 previews/ycbv/test-geometry.glb filter=lfs diff=lfs merge=lfs -text
 previews/sage/test-geometry.glb filter=lfs diff=lfs merge=lfs -text
 previews/sage/train-geometry.glb filter=lfs diff=lfs merge=lfs -text
+precomputed_slat/previews/3dfront/fffeddd2444aac00cee8/object_latent_cells.glb filter=lfs diff=lfs merge=lfs -text

precomputed_slat/README.md

@@ -0,0 +1,71 @@
+# Precomputed SLAT-shape targets
+
+These snapshots contain available 32³ SLAT-shape targets for the prepared 3D-FRONT and SAGE-10k training views.
+The frozen TRELLIS.2 shape encoder produced the stored physical object latents.
+The caches retain separate rows for overlapping objects and preserve their saved scene cubes.
+
+| Dataset | Training views | Encoded objects | Failed objects | Completed scene views | Pending scene views | GiB |
+| --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| 3D-FRONT | 39,930 | 240,952 | 0 | 6,720 | 33,210 | 5.19 |
+| SAGE-10k | 17,456 | 397,203 | 3 | 0 | 17,456 | 1.18 |
+
+The snapshots contain target caches in the `slat-shape-targets-v2` format.
+The three failed SAGE-10k objects belong to three different views.
+Their failure records remain in the published data.
+Scene encoding remains partial, as the table shows.
+Frozen DINOv3 and NAF feature caches still require preparation.
+
+The original manifests and per-view completion records remain unchanged.
+Archive completion means that packaging and upload cover every snapshot file.
+The `source_complete` field records preprocessing completeness separately.
+The inventories include archive SHA-256 checksums and encoder checkpoint provenance.
+
+[3D-FRONT inventory](3dfront/index.json) · [SAGE-10k inventory](sage/index.json)
+
+## Restore the caches
+
+Use the PartProbe3D checkout that supports `--bundle-root` and `--artifact-kind slat-shape-targets`.
+Run these commands from the repository root:
+
+```bash
+python -m preprocess.huggingface download \
+  --repo cubec/PartProbe3D-preprocessed --bundle-root precomputed_slat \
+  --dataset 3dfront --cleanup
+python -m preprocess.huggingface download \
+  --repo cubec/PartProbe3D-preprocessed --bundle-root precomputed_slat \
+  --dataset sage --cleanup
+```
+
+Targets restore to `outputs/slat_multiobj_shape/front3d_32/targets/` and `outputs/slat_multiobj_shape/sage_32/targets/`.
+Restoration verifies every archive checksum and rejects replacement of different existing files.
+Add `--revision <commit>` to select a fixed snapshot.
+
+The corresponding extent datasets reside in `bundles/3dfront/` and `bundles/sage/`.
+Target loading requires those datasets and their matching manifests.
+
+## Format and provenance
+
+The latent grid resolution is 32³.
+Each latent row contains 32 feature channels.
+The encoder uses its native 512³ geometry grid.
+Targets retain camera calibration, grid transforms, object identities, and encoding statuses.
+Per-view arrays and metadata retain their original bytes.
+Worker job files, raw assets, and model weights remain outside these archives.
+
+No training checkpoint produced these targets.
+The inventories record the frozen encoder and paired decoder asset hashes.
+Source datasets retain their original licenses and access terms.
+
+## Previews
+
+Colored cells mark encoded latent locations.
+The previews preserve the saved world pose and metric scale.
+
+![RGB, masks, object latents, and scene status](previews/contact_sheet.png)
+
+[Preview counts](previews/metrics.json) · [Encoder checkpoint provenance](previews/provenance.json)
+
+| Dataset | Input RGB | Object masks | Latent cells | Overlap cells |
+| --- | --- | --- | --- | --- |
+| 3D-FRONT | [RGB](previews/3dfront/fffeddd2444aac00cee8/rgb.png) | [Masks](previews/3dfront/fffeddd2444aac00cee8/masks.png) | [GLB](previews/3dfront/fffeddd2444aac00cee8/object_latent_cells.glb) | [GLB](previews/3dfront/fffeddd2444aac00cee8/overlap_cells.glb) |
+| SAGE-10k | [RGB](previews/sage10k/ffff3f93edab20a62d3f/rgb.png) | [Masks](previews/sage10k/ffff3f93edab20a62d3f/masks.png) | [GLB](previews/sage10k/ffff3f93edab20a62d3f/object_latent_cells.glb) | [GLB](previews/sage10k/ffff3f93edab20a62d3f/overlap_cells.glb) |

precomputed_slat/previews/3dfront/fffeddd2444aac00cee8/metrics.json

@@ -0,0 +1,52 @@
+{
+  "label": "3D-FRONT",
+  "key": "3dfront/fffeddd2444aac00cee8",
+  "scene": "3dfront/2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215",
+  "split": "train",
+  "objects": 5,
+  "object_latent_rows": 2744,
+  "union_cells": 2738,
+  "overlap_cells": 6,
+  "overlap_extra_rows": 6,
+  "matched_gt_tokens": 2744,
+  "gt_tokens": 2745,
+  "gt_token_coverage": 0.9996357012750455,
+  "scene_status": "pending",
+  "scene_cells": 0,
+  "target_sha256": "4b0ac6982f338862d37f6bc60fabbbfd162e399543bf343661820f09f9e24f54",
+  "resolution": 32,
+  "object_paths": [
+    "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/511",
+    "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/513",
+    "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/514",
+    "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/515",
+    "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/526"
+  ],
+  "model_to_world": [
+    [
+      0.6511453986167908,
+      1.9975131750106812,
+      -3.0638060569763184,
+      3.4443414211273193
+    ],
+    [
+      -3.6574535369873047,
+      0.35562217235565186,
+      -0.5454568862915039,
+      -2.1058881282806396
+    ],
+    [
+      0.0,
+      3.1119818687438965,
+      2.0289223194122314,
+      0.8417920470237732
+    ],
+    [
+      0.0,
+      0.0,
+      0.0,
+      1.0
+    ]
+  ],
+  "display_frame": "saved world pose and metric scale, Z-up converted to glTF Y-up"
+}

precomputed_slat/previews/3dfront/fffeddd2444aac00cee8/object_latent_cells.glb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76a5737bedda2f27ca183178f27f9cff43f40df5ab44200d356e9e6a535ba130
+size 754036

precomputed_slat/previews/3dfront/fffeddd2444aac00cee8/targets.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b0ac6982f338862d37f6bc60fabbbfd162e399543bf343661820f09f9e24f54
+size 171845

precomputed_slat/previews/metrics.json

@@ -0,0 +1,141 @@
+{
+  "created_at": "2026-10-15T12:08:00+09:00",
+  "views": [
+    {
+      "label": "3D-FRONT",
+      "key": "3dfront/fffeddd2444aac00cee8",
+      "scene": "3dfront/2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215",
+      "split": "train",
+      "objects": 5,
+      "object_latent_rows": 2744,
+      "union_cells": 2738,
+      "overlap_cells": 6,
+      "overlap_extra_rows": 6,
+      "matched_gt_tokens": 2744,
+      "gt_tokens": 2745,
+      "gt_token_coverage": 0.9996357012750455,
+      "scene_status": "pending",
+      "scene_cells": 0,
+      "target_sha256": "4b0ac6982f338862d37f6bc60fabbbfd162e399543bf343661820f09f9e24f54",
+      "resolution": 32,
+      "object_paths": [
+        "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/511",
+        "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/513",
+        "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/514",
+        "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/515",
+        "2e3dc383-7463-471b-a083-5c74edc8cc8b/Bedroom-70215/furniture/526"
+      ],
+      "model_to_world": [
+        [
+          0.6511453986167908,
+          1.9975131750106812,
+          -3.0638060569763184,
+          3.4443414211273193
+        ],
+        [
+          -3.6574535369873047,
+          0.35562217235565186,
+          -0.5454568862915039,
+          -2.1058881282806396
+        ],
+        [
+          0.0,
+          3.1119818687438965,
+          2.0289223194122314,
+          0.8417920470237732
+        ],
+        [
+          0.0,
+          0.0,
+          0.0,
+          1.0
+        ]
+      ],
+      "display_frame": "saved world pose and metric scale, Z-up converted to glTF Y-up"
+    },
+    {
+      "label": "SAGE-10k",
+      "key": "sage10k/ffff3f93edab20a62d3f",
+      "scene": "sage/20251225_110017_layout_4d87d284/room_ca9699a5",
+      "split": "train",
+      "objects": 37,
+      "object_latent_rows": 262,
+      "union_cells": 185,
+      "overlap_cells": 49,
+      "overlap_extra_rows": 77,
+      "matched_gt_tokens": 262,
+      "gt_tokens": 265,
+      "gt_token_coverage": 0.9886792452830189,
+      "scene_status": "pending",
+      "scene_cells": 0,
+      "target_sha256": "9b2dff449e132859d63829fe653d573885946bf7b77b956aa37396af7f12b927",
+      "resolution": 32,
+      "object_paths": [
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_sofa_f6750cf7",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_stool_5da1c049",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_coffeetable_3c4501af",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_coffeetable_c69ff0a0",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_coffeetable_dd309636",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_coffeetable_7448bb60",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_palm_1e28c5a9",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_palm_89c4322d",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_palm_cb9b2d45",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_basket_3c5fc7e0",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_basket_3cc85bc6",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_d90c52e5",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_aea95150",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_f5eee47a",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_8a1ad64b",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_397ec3b4",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_5e31e9b8",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_52180476",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_de3c0b2c",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_666a715d",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_bc5ee2f4",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book1_2_74afa121",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book2_2_31abd594",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book3_1_aef37232",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vase1_8ee8a28f",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vase3_7ecfaf42",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vase1_69293d14",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vase2_c19d48b2",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book4_f6ea9a15",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book3c4501af_2_33c23770",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vasec69ff0a0_2bdc33be",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_walllamp_be1f9052",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_painting_cb03b657",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_print_46552246",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_tapestry_5ccba29e",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_artpiece_61c6b2fb",
+        "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_artpiece_1448d4d1"
+      ],
+      "model_to_world": [
+        [
+          -17.12369728088379,
+          -0.2592599391937256,
+          4.368001937866211,
+          6.580594062805176
+        ],
+        [
+          4.375689506530762,
+          -1.014580488204956,
+          17.09361457824707,
+          3.9747314453125
+        ],
+        [
+          5.562262650471439e-09,
+          17.64287567138672,
+          1.0471816062927246,
+          1.3561573028564453
+        ],
+        [
+          0.0,
+          0.0,
+          0.0,
+          1.0
+        ]
+      ],
+      "display_frame": "saved world pose and metric scale, Z-up converted to glTF Y-up"
+    }
+  ]
+}

precomputed_slat/previews/provenance.json

@@ -0,0 +1,237 @@
+[
+  {
+    "label": "3D-FRONT",
+    "targets": "/app/PartProbe3D/outputs/slat_multiobj_shape/front3d_32/targets",
+    "models": {
+      "upstream_revision": "cdbb2bbffbf4e6f298b5f2af3d1d76a8d823d2af",
+      "encoder": "/app/PartProbe3D/checkpoints/huggingface/hub/models--microsoft--TRELLIS.2-4B/snapshots/af44b45f2e35a493886929c6d786e563ec68364d/ckpts/shape_enc_next_dc_f16c32_fp16",
+      "encoder_sha256": {
+        ".json": "5a960a5c419d70f8d4a7a6b6e52ae689cd948c88bd7ed92346adfbf82cd12007",
+        ".safetensors": "f37c5ff5b983b68e9946060000f09bc131f3e84318a2c8b7430a81e4b4636c41"
+      },
+      "decoder": "/app/PartProbe3D/checkpoints/Pixal3D/ckpts/shape_dec_next_dc_f16c32_fp16",
+      "decoder_sha256": {
+        ".json": "5f1b856dffce79466fb18f5f0eefc08f08c673b24b3c05b20359c0b6d318a209",
+        ".safetensors": "e3b718d3e43e4f8780e9a24ac6fff231811a67e3b058e336e10fe654c911d581"
+      },
+      "paired_decoder": "/app/PartProbe3D/checkpoints/huggingface/hub/models--microsoft--TRELLIS.2-4B/snapshots/af44b45f2e35a493886929c6d786e563ec68364d/ckpts/shape_dec_next_dc_f16c32_fp16",
+      "paired_decoder_sha256": {
+        ".json": "5f1b856dffce79466fb18f5f0eefc08f08c673b24b3c05b20359c0b6d318a209",
+        ".safetensors": "e3b718d3e43e4f8780e9a24ac6fff231811a67e3b058e336e10fe654c911d581"
+      },
+      "pipeline": "/app/PartProbe3D/checkpoints/Pixal3D/pipeline.json",
+      "pipeline_sha256": "1647217de06e32477702d14895e826fea73497d94537b809a53637f13482a237",
+      "normalization": {
+        "mean": [
+          0.781296,
+          0.018091,
+          -0.495192,
+          -0.558457,
+          1.06053,
+          0.093252,
+          1.518149,
+          -0.933218,
+          -0.732996,
+          2.604095,
+          -0.118341,
+          -2.143904,
+          0.495076,
+          -2.179512,
+          -2.130751,
+          -0.996944,
+          0.261421,
+          -2.217463,
+          1.260067,
+          -0.150213,
+          3.790713,
+          1.481266,
+          -1.046058,
+          -1.523667,
+          -0.059621,
+          2.22078,
+          1.621212,
+          0.87723,
+          0.567247,
+          -3.175944,
+          -3.186688,
+          1.578665
+        ],
+        "std": [
+          5.972266,
+          4.706852,
+          5.44501,
+          5.209927,
+          5.32022,
+          4.547237,
+          5.020802,
+          5.444004,
+          5.226681,
+          5.683095,
+          4.831436,
+          5.286469,
+          5.652043,
+          5.367606,
+          5.525084,
+          4.730578,
+          4.805265,
+          5.124013,
+          5.530808,
+          5.619001,
+          5.10393,
+          5.41767,
+          5.269677,
+          5.547194,
+          5.634698,
+          5.235274,
+          6.110351,
+          5.511298,
+          6.237273,
+          4.879207,
+          5.347008,
+          5.405691
+        ]
+      }
+    },
+    "manifest_sha256": "569d1a5ecc80d971eab1896f31daeb087315bae3b32bd82d9c8086130bc107d9",
+    "source_history": [
+      {
+        "targets.py": "28ca940088532213a03a5e8136a57292ab372002e73ffad6dcc5055267ccf9f0",
+        "encode.py": "9c270005bb59efc81054626737f62eb1f1700710a9cbfc0507f2865423f782f6",
+        "storage.py": "57420b5842665805db06123c5ef4f46f352cf0ec1f6fb557c4c531a583aa8f71"
+      },
+      {
+        "targets.py": "dbe05257f215e8c3955c5e24ce2e61f13e979139bbc85e2c1e7801c7e839ce98",
+        "encode.py": "9c270005bb59efc81054626737f62eb1f1700710a9cbfc0507f2865423f782f6",
+        "storage.py": "21263c891371a9331d31c5eb44a2b3f56289c28c9e409f624a6ede4f1e990407"
+      },
+      {
+        "targets.py": "85ea5b59ed05756319fbf7f129e1ed4c4584644eb646a9ae1c15eb278b8f491e",
+        "encode.py": "9c270005bb59efc81054626737f62eb1f1700710a9cbfc0507f2865423f782f6",
+        "storage.py": "21263c891371a9331d31c5eb44a2b3f56289c28c9e409f624a6ede4f1e990407"
+      },
+      {
+        "targets.py": "85ea5b59ed05756319fbf7f129e1ed4c4584644eb646a9ae1c15eb278b8f491e",
+        "encode.py": "9c270005bb59efc81054626737f62eb1f1700710a9cbfc0507f2865423f782f6",
+        "storage.py": "ba5f3b2509b0e313a8e4ff062a30e8d2b7a6de258f4aff237e61cc1ef9707b88"
+      }
+    ],
+    "progress": {
+      "phase": "objects",
+      "selected": 39930,
+      "completed": 39930,
+      "pending": 0,
+      "seconds": 5856.37566383509,
+      "stopped": false
+    }
+  },
+  {
+    "label": "SAGE-10k",
+    "targets": "/app/PartProbe3D/outputs/slat_multiobj_shape/sage_32/targets",
+    "models": {
+      "upstream_revision": "cdbb2bbffbf4e6f298b5f2af3d1d76a8d823d2af",
+      "encoder": "/app/PartProbe3D/checkpoints/huggingface/hub/models--microsoft--TRELLIS.2-4B/snapshots/af44b45f2e35a493886929c6d786e563ec68364d/ckpts/shape_enc_next_dc_f16c32_fp16",
+      "encoder_sha256": {
+        ".json": "5a960a5c419d70f8d4a7a6b6e52ae689cd948c88bd7ed92346adfbf82cd12007",
+        ".safetensors": "f37c5ff5b983b68e9946060000f09bc131f3e84318a2c8b7430a81e4b4636c41"
+      },
+      "decoder": "/app/PartProbe3D/checkpoints/Pixal3D/ckpts/shape_dec_next_dc_f16c32_fp16",
+      "decoder_sha256": {
+        ".json": "5f1b856dffce79466fb18f5f0eefc08f08c673b24b3c05b20359c0b6d318a209",
+        ".safetensors": "e3b718d3e43e4f8780e9a24ac6fff231811a67e3b058e336e10fe654c911d581"
+      },
+      "paired_decoder": "/app/PartProbe3D/checkpoints/huggingface/hub/models--microsoft--TRELLIS.2-4B/snapshots/af44b45f2e35a493886929c6d786e563ec68364d/ckpts/shape_dec_next_dc_f16c32_fp16",
+      "paired_decoder_sha256": {
+        ".json": "5f1b856dffce79466fb18f5f0eefc08f08c673b24b3c05b20359c0b6d318a209",
+        ".safetensors": "e3b718d3e43e4f8780e9a24ac6fff231811a67e3b058e336e10fe654c911d581"
+      },
+      "pipeline": "/app/PartProbe3D/checkpoints/Pixal3D/pipeline.json",
+      "pipeline_sha256": "1647217de06e32477702d14895e826fea73497d94537b809a53637f13482a237",
+      "normalization": {
+        "mean": [
+          0.781296,
+          0.018091,
+          -0.495192,
+          -0.558457,
+          1.06053,
+          0.093252,
+          1.518149,
+          -0.933218,
+          -0.732996,
+          2.604095,
+          -0.118341,
+          -2.143904,
+          0.495076,
+          -2.179512,
+          -2.130751,
+          -0.996944,
+          0.261421,
+          -2.217463,
+          1.260067,
+          -0.150213,
+          3.790713,
+          1.481266,
+          -1.046058,
+          -1.523667,
+          -0.059621,
+          2.22078,
+          1.621212,
+          0.87723,
+          0.567247,
+          -3.175944,
+          -3.186688,
+          1.578665
+        ],
+        "std": [
+          5.972266,
+          4.706852,
+          5.44501,
+          5.209927,
+          5.32022,
+          4.547237,
+          5.020802,
+          5.444004,
+          5.226681,
+          5.683095,
+          4.831436,
+          5.286469,
+          5.652043,
+          5.367606,
+          5.525084,
+          4.730578,
+          4.805265,
+          5.124013,
+          5.530808,
+          5.619001,
+          5.10393,
+          5.41767,
+          5.269677,
+          5.547194,
+          5.634698,
+          5.235274,
+          6.110351,
+          5.511298,
+          6.237273,
+          4.879207,
+          5.347008,
+          5.405691
+        ]
+      }
+    },
+    "manifest_sha256": "1901aa394a08b9cde021d4c21d6c1afab8a4be98befa1b717186eb275c25cef4",
+    "source_history": [
+      {
+        "targets.py": "85ea5b59ed05756319fbf7f129e1ed4c4584644eb646a9ae1c15eb278b8f491e",
+        "encode.py": "9c270005bb59efc81054626737f62eb1f1700710a9cbfc0507f2865423f782f6",
+        "storage.py": "ba5f3b2509b0e313a8e4ff062a30e8d2b7a6de258f4aff237e61cc1ef9707b88"
+      }
+    ],
+    "progress": {
+      "phase": "objects",
+      "selected": 17456,
+      "completed": 17456,
+      "pending": 0,
+      "seconds": 23841.66978025809,
+      "stopped": false
+    }
+  }
+]

precomputed_slat/previews/sage10k/ffff3f93edab20a62d3f/metrics.json

@@ -0,0 +1,84 @@
+{
+  "label": "SAGE-10k",
+  "key": "sage10k/ffff3f93edab20a62d3f",
+  "scene": "sage/20251225_110017_layout_4d87d284/room_ca9699a5",
+  "split": "train",
+  "objects": 37,
+  "object_latent_rows": 262,
+  "union_cells": 185,
+  "overlap_cells": 49,
+  "overlap_extra_rows": 77,
+  "matched_gt_tokens": 262,
+  "gt_tokens": 265,
+  "gt_token_coverage": 0.9886792452830189,
+  "scene_status": "pending",
+  "scene_cells": 0,
+  "target_sha256": "9b2dff449e132859d63829fe653d573885946bf7b77b956aa37396af7f12b927",
+  "resolution": 32,
+  "object_paths": [
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_sofa_f6750cf7",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_stool_5da1c049",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_coffeetable_3c4501af",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_coffeetable_c69ff0a0",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_coffeetable_dd309636",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_coffeetable_7448bb60",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_palm_1e28c5a9",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_palm_89c4322d",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_palm_cb9b2d45",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_basket_3c5fc7e0",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_basket_3cc85bc6",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_d90c52e5",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_aea95150",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_f5eee47a",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_8a1ad64b",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_succulent_397ec3b4",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_5e31e9b8",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_52180476",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_de3c0b2c",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_666a715d",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_cushion_bc5ee2f4",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book1_2_74afa121",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book2_2_31abd594",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book3_1_aef37232",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vase1_8ee8a28f",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vase3_7ecfaf42",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vase1_69293d14",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vase2_c19d48b2",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book4_f6ea9a15",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_book3c4501af_2_33c23770",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_vasec69ff0a0_2bdc33be",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_walllamp_be1f9052",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_painting_cb03b657",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_print_46552246",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_tapestry_5ccba29e",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_artpiece_61c6b2fb",
+    "20251225_110017_layout_4d87d284/room_ca9699a5/room_ca9699a5_artpiece_1448d4d1"
+  ],
+  "model_to_world": [
+    [
+      -17.12369728088379,
+      -0.2592599391937256,
+      4.368001937866211,
+      6.580594062805176
+    ],
+    [
+      4.375689506530762,
+      -1.014580488204956,
+      17.09361457824707,
+      3.9747314453125
+    ],
+    [
+      5.562262650471439e-09,
+      17.64287567138672,
+      1.0471816062927246,
+      1.3561573028564453
+    ],
+    [
+      0.0,
+      0.0,
+      0.0,
+      1.0
+    ]
+  ],
+  "display_frame": "saved world pose and metric scale, Z-up converted to glTF Y-up"
+}

precomputed_slat/previews/sage10k/ffff3f93edab20a62d3f/targets.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9b2dff449e132859d63829fe653d573885946bf7b77b956aa37396af7f12b927
+size 21753