| --- |
| language: |
| - en |
| tags: |
| - 3d |
| - depth |
| - segmentation |
| - voxel-occupancy |
| pretty_name: PartProbe3D preprocessed datasets |
| configs: |
| - config_name: sage |
| data_files: |
| - split: test |
| path: catalog/sage/test.jsonl |
| - split: train |
| path: catalog/sage/train.jsonl |
| - config_name: 3dfront |
| data_files: |
| - split: test |
| path: catalog/3dfront/test.jsonl |
| - split: train |
| path: catalog/3dfront/train.jsonl |
| - config_name: ycbv |
| data_files: |
| - split: test |
| path: catalog/ycbv/test.jsonl |
| --- |
| |
| # PartProbe3D preprocessed datasets |
|
|
| Saved 64³ training and evaluation inputs for PartProbe3D. These archives preserve |
| RGB, visible object masks, depth and validity, camera calibration, posed meshes, |
| scene occupancy and independent per-object voxel occupancy. Targets describe mesh |
| triangle surfaces, including hidden surfaces and overlapping object channels. |
|
|
| | Dataset | Split | Views | Scenes | |
| | --- | --- | ---: | ---: | |
| | sage | test | 1,952 | 1,000 | |
| | sage | train | 17,456 | 8,931 | |
| | 3dfront | test | 10,066 | 935 | |
| | 3dfront | train | 39,930 | 3,703 | |
| | ycbv | test | 900 | 900 | |
|
|
| 3D-FRONT uses the pinned last 1,000 MIDI rooms for testing and all other rooms |
| for training; all views of a room stay together. There is no validation split. |
| YCB-V is evaluation only. The viewer contains metadata indices; binary training |
| artifacts are in the archives. |
|
|
| ## Upload status |
|
|
| | Dataset | Packaging complete | Upload complete | Packaged GiB | Transferred GiB | |
| | --- | --- | --- | ---: | ---: | |
| | sage | False | False | 317.76 | 317.76 | |
| | 3dfront | True | True | 273.53 | 273.53 | |
| | ycbv | True | True | 3.60 | 3.60 | |
|
|
| SAGE-10k keeps every room and view of a source layout in the same split, |
| using the saved SHA-256 layout split with a 10% test fraction and no validation split. |
| The completed extent dataset retains 19,408 training/evaluation views; |
| 592 source captures were rejected by target preparation. |
|
|
| Archive inventories and SHA-256 checksums are in `bundles/<dataset>/index.json`. |
| FoundationPose currently has raw archives only. Diagnostic subsets, raw downloads, |
| model weights and model-specific feature caches are not included. |
|
|
| ## Restore on another server |
|
|
| Use the PartProbe3D checkout containing `preprocess/huggingface.py` and install its |
| preprocessing dependencies plus `huggingface-hub`. Run from the repository root: |
|
|
| ```bash |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset sage --cleanup |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset 3dfront --cleanup |
| python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset ycbv --cleanup |
| ``` |
|
|
| Downloads resume through Hugging Face. Restoration verifies every archive SHA-256 |
| and refuses to replace different existing data. `--revision <commit>` pins a release. |
| The extracted roots are `datasets/<dataset>/extent/point_cloud`. `--cleanup` downloads |
| and restores one archive at a time, deleting each only after checksum verification and |
| successful extraction. Temporary archives use `datasets/<dataset>/archives/huggingface/`. |
| Without `--cleanup`, all downloaded archives are retained for reuse. |
|
|
| The loaders resolve `sample`, camera, geometry and target paths relative to the |
| dataset root. Historical absolute `file` and raw asset paths remain provenance; |
| loading saved samples and geometry does not require those paths or raw assets. |
|
|
| Prepare the model-specific features on the destination server, then train: |
|
|
| ```bash |
| python -m ss_multiobj_depth.prepare --config ss_multiobj_depth/configs/front3d.json |
| python -m ss_multiobj_depth.train --config ss_multiobj_depth/configs/front3d.json |
| ``` |
|
|
| The mixed 32³ SLAT training config reads the saved 64³ datasets and pools grids online: |
|
|
| ```bash |
| python -m slat_segmentation.train --config slat_segmentation/configs/front3d_sage_32.json |
| ``` |
|
|
| ## Provenance |
|
|
| Original manifests, artifact completion markers, checksums, identities and split |
| policies are retained byte-for-byte inside the archives. Generation settings and |
| code hashes are also available under `metadata/<dataset>/conversion_policy.json`. |
| No model checkpoint was used for this upload; no checkpoint weights are included. |
| Source datasets retain their original licenses and access terms. |
|
|
| ## Input and geometry previews |
|
|
| ### sage: test |
|
|
| View: `0078d732045c32e0e3c2`. |
|
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|  |
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|  |
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|
| [Posed prompted GT geometry (GLB)](previews/sage/test-geometry.glb) |
|
|
| ### sage: train |
|
|
| View: `0002c10ce97a86f789fd`. |
|
|
|  |
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|
|  |
|
|
| [Posed prompted GT geometry (GLB)](previews/sage/train-geometry.glb) |
|
|
| ### 3dfront: test |
|
|
| View: `0001acce61c945bf4470`. |
|
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|  |
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|  |
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|
| [Posed prompted GT geometry (GLB)](previews/3dfront/test-geometry.glb) |
|
|
| ### 3dfront: train |
|
|
| View: `0000b002995b4131d534`. |
|
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|  |
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|  |
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|
| [Posed prompted GT geometry (GLB)](previews/3dfront/train-geometry.glb) |
|
|
| ### ycbv: test |
|
|
| View: `003c09039641a2b2efa1`. |
|
|
|  |
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|
|  |
|
|
| [Posed prompted GT geometry (GLB)](previews/ycbv/test-geometry.glb) |
|
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|
