Register aligned scene latents for three training datasets
Browse files- README.md +36 -0
- training/index.json +21 -0
README.md
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@@ -267,3 +267,39 @@ The downloader checks archive hashes before extraction.
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The training loader checks dataset and frozen codec identities.
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The image encoders compute features during training.
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<!-- partprobe3d-ss-targets:end -->
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The training loader checks dataset and frozen codec identities.
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The image encoders compute features during training.
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<!-- partprobe3d-ss-targets:end -->
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<!-- partprobe3d-scenes:start -->
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## Voxel-aligned 32³ scene latents
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These optional caches contain one token per saved reference voxel.
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Overlapping objects share that token and retain separate membership labels.
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The `latent_valid` flag identifies cells with a native encoder output.
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Invalid cells retain their reference coordinates and contain zero latent values.
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The archives preserve the original NPZ files, calibration transforms, and codec provenance.
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| Dataset | Training views | Transfer, GB |
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| --- | ---: | ---: |
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| [3dfront](optional/scene/32/3dfront/index.json) | 39,930 | 4.590 |
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| [sage](optional/scene/32/sage/index.json) | 17,456 | 1.176 |
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| [foundationpose](optional/scene/32/foundationpose/index.json) | 42,256 | 5.046 |
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Restore the matching observation bundles before reading scene targets.
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The `slat-seg` task downloads those observations without SS or object latent targets.
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```bash
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python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task slat-seg
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```
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Restore the selected scene caches:
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```bash
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python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset 3dfront --bundle-root optional/scene/32 --cleanup
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python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset sage --bundle-root optional/scene/32 --cleanup
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python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset foundationpose --bundle-root optional/scene/32 --cleanup
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```
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The restored caches reside under `datasets/<dataset>/slat/32/scene_targets/`.
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`dataloader.slat_scene.SceneTargetDataset` reads them with their matching saved observations.
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Raw meshes and source datasets are unnecessary for this reader.
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Scene downloads remain separate from object targets and default task downloads.
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<!-- partprobe3d-scenes:end -->
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training/index.json
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"evaluation/ycbv": {
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"component": "optional/evaluation/ycbv",
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"bytes": 1669857280
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}
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},
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"base_git_revision": "aac7b493e1e5e10512857a2582233c99fedda9c5",
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"evaluation/ycbv": {
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"component": "optional/evaluation/ycbv",
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"bytes": 1669857280
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},
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"scene/32/3dfront": {
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"component": "optional/scene/32/3dfront",
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"bytes": 4590407680,
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"views": 39930,
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"resolution": 32,
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"source_manifest_sha256": "7e4c7f6b1bee374b3cb8469e7cf7ae0f3452d06084630c93c004c866b83e8489"
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},
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"scene/32/sage": {
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"component": "optional/scene/32/sage",
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"bytes": 1176248320,
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"views": 17456,
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"resolution": 32,
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"source_manifest_sha256": "0eb124ca62c846bc37604ae5b6e56b50fd50511c46a23a36924122dff1c92b5f"
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},
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"scene/32/foundationpose": {
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"component": "optional/scene/32/foundationpose",
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"bytes": 5046333440,
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"views": 42256,
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"resolution": 32,
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"source_manifest_sha256": "08bc7afbadab1fe27bf8ba1c039b428cebe582937ad18b8332f698295b2189e2"
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}
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},
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"base_git_revision": "aac7b493e1e5e10512857a2582233c99fedda9c5",
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