Finalize verified FoundationPose release and pinned restoration guide
Browse files- README.md +12 -3
- catalog.json +6 -5
- metadata/foundationpose/publication.json +13 -0
- metadata/foundationpose/verification.json +32 -0
README.md
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@@ -61,6 +61,7 @@ artifacts are in the archives.
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| sage | True | True | 475.80 | 475.80 |
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| 3dfront | True | True | 273.53 | 273.53 |
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| ycbv | True | True | 3.60 | 3.60 |
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SAGE-10k keeps every room and view of a source layout in the same split,
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using the saved SHA-256 layout split with a 10% test fraction and no validation split.
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@@ -69,14 +70,16 @@ The completed extent dataset retains 19,408 training/evaluation views;
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Archive inventories and SHA-256 checksums are in `bundles/<dataset>/index.json`.
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The extent archives exclude diagnostic subsets, raw downloads, model weights, and model-specific feature caches.
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-
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## FoundationPose on another server
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The FoundationPose bundle preserves original RGB, depth, visible masks, cameras, object mapping, and complete per-object voxel occupancy at 64³.
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Its source manifest has SHA-256 `2c4dcd1cd1e2e56a0eb08f2f92da320f299729c8ce7a2f52828c272cbc1fa0ad`.
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The extracted files occupy 87.82 GB before filesystem overhead.
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The export excludes raw archives, meshes, model weights, image features, SLAT latents, and GT occlusion relations.
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The loaders resolve input paths relative to the restored dataset.
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@@ -98,7 +101,8 @@ Run these commands from the repository root.
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```bash
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python -m preprocess.huggingface download \
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--repo cubec/PartProbe3D-preprocessed --dataset foundationpose --cleanup
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```
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3. Initialize the pinned Pixal3D source.
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@@ -151,9 +155,11 @@ DINOv3 requires approved access to its [gated model repository](https://huggingf
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### Prepare features and train SS
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The [FoundationPose configuration](https://github.com/cube-c/PartProbe3D/blob/
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It creates features under `outputs/ss_multiobj_depth/foundationpose/features` and preserves the saved training/test splits.
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It starts a new run with W&B online by default.
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1. Prepare local features and encoded SS targets.
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@@ -170,6 +176,7 @@ It starts a new run with W&B online by default.
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This configuration needs no source archives, meshes, or additional dataset downloads.
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The `occlusion_object` variant additionally requires a matching GT occlusion cache.
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That cache requires mesh geometry during preparation and is absent from this FoundationPose bundle.
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New SLAT shape encoding and mesh-based evaluation also require geometry or separately transferred targets.
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Exact resume of an existing run requires its matching checkpoint, feature manifests, source hashes, and settings.
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@@ -190,6 +197,8 @@ These previews show saved inputs and GT voxel targets. They use no learned check
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[GT occupancy, test (GLB)](previews/foundationpose/test-occupancy.glb)
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## GT occlusion relations
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Separate archives under `precomputed_occlusion/` preserve the completed GT occlusion caches.
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| sage | True | True | 475.80 | 475.80 |
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| 3dfront | True | True | 273.53 | 273.53 |
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| ycbv | True | True | 3.60 | 3.60 |
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| foundationpose | True | True | 83.19 | 83.19 |
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SAGE-10k keeps every room and view of a source layout in the same split,
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using the saved SHA-256 layout split with a 10% test fraction and no validation split.
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Archive inventories and SHA-256 checksums are in `bundles/<dataset>/index.json`.
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The extent archives exclude diagnostic subsets, raw downloads, model weights, and model-specific feature caches.
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The FoundationPose export contains 46,948 views in 86 verified archives.
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## FoundationPose on another server
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Use [code revision `92ca3ee`](https://github.com/cube-c/PartProbe3D/commit/92ca3eea1dbec6e162e246858eb7bdb7f7fd0701) or a compatible later revision on `slat-shape`.
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The FoundationPose bundle preserves original RGB, depth, visible masks, cameras, object mapping, and complete per-object voxel occupancy at 64³.
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Its source manifest has SHA-256 `2c4dcd1cd1e2e56a0eb08f2f92da320f299729c8ce7a2f52828c272cbc1fa0ad`.
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The extracted files occupy 87.82 GB before filesystem overhead.
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The [verified inventory](https://huggingface.co/datasets/cubec/PartProbe3D-preprocessed/blob/073988c5b5e206570da67f57aada4a2f0ad94e95/bundles/foundationpose/index.json) contains 86 archives totaling 89.33 GB.
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The export excludes raw archives, meshes, model weights, image features, SLAT latents, and GT occlusion relations.
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The loaders resolve input paths relative to the restored dataset.
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```bash
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python -m preprocess.huggingface download \
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--repo cubec/PartProbe3D-preprocessed --dataset foundationpose --cleanup \
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--revision 073988c5b5e206570da67f57aada4a2f0ad94e95
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```
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3. Initialize the pinned Pixal3D source.
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### Prepare features and train SS
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The [FoundationPose configuration](https://github.com/cube-c/PartProbe3D/blob/92ca3eea1dbec6e162e246858eb7bdb7f7fd0701/ss_multiobj_depth/configs/foundationpose.json) uses GT depth, `depth_embedding` voxel conditioning, global cross-attention, and rank-8 NoRA.
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It creates features under `outputs/ss_multiobj_depth/foundationpose/features` and preserves the saved training/test splits.
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It starts a new run with W&B online by default.
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Online logging requires W&B authentication.
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The setting `training.wandb_mode="disabled"` permits a local run without W&B.
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1. Prepare local features and encoded SS targets.
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This configuration needs no source archives, meshes, or additional dataset downloads.
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The `occlusion_object` variant additionally requires a matching GT occlusion cache.
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That cache requires mesh geometry during preparation and is absent from this FoundationPose bundle.
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A matching GT occlusion overlay can transfer separately without another download of the observation archives.
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New SLAT shape encoding and mesh-based evaluation also require geometry or separately transferred targets.
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Exact resume of an existing run requires its matching checkpoint, feature manifests, source hashes, and settings.
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[GT occupancy, test (GLB)](previews/foundationpose/test-occupancy.glb)
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The [publication report](https://github.com/cube-c/PartProbe3D/blob/139c539/reports/huggingface_foundationpose_training_20261019.md) records checks, dataset identities, and limitations.
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## GT occlusion relations
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Separate archives under `precomputed_occlusion/` preserve the completed GT occlusion caches.
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catalog.json
CHANGED
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@@ -80,11 +80,12 @@
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}
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},
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"source_manifest_sha256": "2c4dcd1cd1e2e56a0eb08f2f92da320f299729c8ce7a2f52828c272cbc1fa0ad",
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"packaged":
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"bytes":
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"uploaded_bytes":
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"uploaded_archives":
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"uploaded":
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}
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]
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}
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}
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},
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"source_manifest_sha256": "2c4dcd1cd1e2e56a0eb08f2f92da320f299729c8ce7a2f52828c272cbc1fa0ad",
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"packaged": true,
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"bytes": 89326489600,
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"uploaded_bytes": 89326489600,
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"uploaded_archives": 86,
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"uploaded": true,
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"revision": "073988c5b5e206570da67f57aada4a2f0ad94e95"
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}
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]
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}
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metadata/foundationpose/publication.json
ADDED
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{
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"complete": true,
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"dataset_revision": "073988c5b5e206570da67f57aada4a2f0ad94e95",
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"workflow_commit": "92ca3eea1dbec6e162e246858eb7bdb7f7fd0701",
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"documentation_commit": "139c539ec3a04bac62115409ea563975cbb6c017",
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"archives": 86,
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"bytes": 89326489600,
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"views": 46948,
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"occlusion_included": false,
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"feature_caches_included": false,
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"geometry_included": false,
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"verified_utc": "2026-10-19T11:27:35.589394+00:00"
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}
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metadata/foundationpose/verification.json
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{
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"complete": true,
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"completed_utc": "2026-10-19T11:27:35.589394+00:00",
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"repo": "cubec/PartProbe3D-preprocessed",
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"revision": "073988c5b5e206570da67f57aada4a2f0ad94e95",
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"archives": 86,
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"bytes": 89326489600,
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"views": 46948,
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"counts": {
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"test": {
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"views": 4692,
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"scenes": 4692
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},
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"train": {
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"views": 42256,
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"scenes": 42256
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}
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},
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"artifact_kind": "extent-training",
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"geometry_included": false,
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"feature_caches_included": false,
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"occlusion_included": false,
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"source_manifest_sha256": "2c4dcd1cd1e2e56a0eb08f2f92da320f299729c8ce7a2f52828c272cbc1fa0ad",
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"index_sha256": "357f8245629cb7b0c0384f3352f084f7dc6c24eed7c3cd146a1c985a0544974b",
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"archive_members": 1919212,
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"all_remote_sizes_match": true,
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"all_remote_sha256_match": true,
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"remote_inventory_matches_local_bytes": true,
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"workflow_commit": "92ca3eea1dbec6e162e246858eb7bdb7f7fd0701",
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"portability_preparation_views": 2,
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"hf_roundtrip_archives": 1
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}
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