Register filtered Omni6DPose SOPE training components
Browse files- README.md +66 -0
- training/index.json +77 -0
README.md
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Historical MessyKitchens mask archives now reside under [_deprecated/messykitchen/original_masks/evaluation](https://huggingface.co/datasets/cubec/PartProbe3D-preprocessed/tree/main/_deprecated/messykitchen/original_masks/evaluation).
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Current evaluation downloads exclude these archives.
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Historical MessyKitchens mask archives now reside under [_deprecated/messykitchen/original_masks/evaluation](https://huggingface.co/datasets/cubec/PartProbe3D-preprocessed/tree/main/_deprecated/messykitchen/original_masks/evaluation).
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Current evaluation downloads exclude these archives.
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<!-- partprobe3d-omni6dpose:start -->
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## Omni6DPose SOPE
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This release contains 3 selected frames per SOPE sequence.
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It contains 55,848 usable views from 18,617 sequences.
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The visibility requirement excludes 3 source views.
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The official splits contain 44,788 training views and 11,060 test views.
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All selected frames use one dataset and the same component paths.
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Every retained mask covers strictly more than 0.1% of the native image.
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At 640 by 480 pixels, each retained object covers at least 308 pixels.
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Each view contains at least two retained objects.
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The observation, object, SS, and scene components use this selection.
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Native RGB, perfect metric depth, instance labels, and calibration come from SOPE.
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The observation bundle stores these arrays in sample NPZ files.
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Targets contain surface voxel occupancy at resolution 64.
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PointCloudExtent uses near and far trim fractions of 0.0525, far margin 0.125, and padding 1.31.
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Object latents and scene latents use resolution 32.
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SS targets contain native latents with shape `8×16×16×16`.
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| Component | Views | Transfer, GB |
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| --- | ---: | ---: |
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| [training/observations/omni6dpose](training/observations/omni6dpose/index.json) | 44,804 | 70.945 |
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| [training/shape/32/omni6dpose](training/shape/32/omni6dpose/index.json) | 44,788 | 1.739 |
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| [training/ss/omni6dpose](training/ss/omni6dpose/index.json) | 55,848 | 145.935 |
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| [optional/held_out/omni6dpose](optional/held_out/omni6dpose/index.json) | 11,044 | 17.792 |
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| [optional/geometry/omni6dpose](optional/geometry/omni6dpose/index.json) | 55,848 | 12.039 |
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| [optional/scene_mask_area/32/omni6dpose](optional/scene_mask_area/32/omni6dpose/index.json) | 44,788 | 1.573 |
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The core observations include all training views and 16 test views for monitoring.
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The held-out component adds the remaining 11,044 test views.
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The SS component contains all 55,848 views.
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Optional geometry contains canonical GLBs and per-frame instance transforms.
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Filtered scene latents occupy the same namespace as the other filtered datasets.
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Restore all training components with this command:
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```bash
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python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --task all-training --dataset omni6dpose --cleanup
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```
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Restore optional components with these commands:
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```bash
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python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset omni6dpose --bundle-root optional/held_out --cleanup
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python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset omni6dpose --bundle-root optional/geometry --cleanup
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python -m preprocess.huggingface download --repo cubec/PartProbe3D-preprocessed --dataset omni6dpose --bundle-root optional/scene_mask_area/32 --cleanup
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```
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Use project Git revision `513895b85af6e56716e1ed51d9352639a27e8e8d` or a later revision.
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The committed code patch is available at [code/omni6dpose.patch](code/omni6dpose.patch).
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Apply this patch to project Git revision `32d92a1e1b9e99eafaac9dda13c43e676a7aeeb3` when necessary.
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Model weights remain separate from this dataset.
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Component manifests preserve model hashes, source hashes, and generation settings.
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The shape encoder is `TRELLIS.2 shape_enc_next_dc_f16c32_fp16`.
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Its safetensors SHA-256 is `f37c5ff5b983b68e9946060000f09bc131f3e84318a2c8b7430a81e4b4636c41`.
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The paired Pixal3D decoder SHA-256 is `e3b718d3e43e4f8780e9a24ac6fff231811a67e3b058e336e10fe654c911d581`.
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Preview: [RGB, masks, extent, meshes, and voxels](previews/omni6dpose/extent_voxels.png).
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The [release inventory](releases/omni6dpose/index.json) records source identities and component checksums.
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Dataset credit: [Omni6DPose](https://jiyao06.github.io/Omni6DPose/).
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Source documentation: [Omni6DPoseAPI](https://github.com/Omni6DPose/Omni6DPoseAPI).
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<!-- partprobe3d-omni6dpose:end -->
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training/index.json
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"target_scope": "masked_objects_complete_occupancy"
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},
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"shape_excluded_views": []
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}
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},
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"optional": {
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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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"target_scope": "masked_objects_complete_occupancy"
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},
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"shape_excluded_views": []
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},
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"omni6dpose": {
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"source_manifest_sha256": "51a2acd982c2a898d4ead7836709d6d59b7de549d79f107565e6e8f81988e089",
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"source_views": 55848,
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"views": 44804,
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"resolution": 64,
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"training_views": 44788,
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"monitor_views": 16,
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"required": [
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"training/observations/omni6dpose",
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"training/shape/32/omni6dpose",
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"training/ss/omni6dpose"
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],
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"bytes": 218618449920,
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"mask_policy": {
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"version": "visible-mask-area-v1",
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"minimum_area_fraction": 0.001,
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"comparison": "strictly greater",
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"resolution": "native"
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},
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"shape_excluded_views": [],
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"components": [
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{
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"path": "training/observations/omni6dpose",
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"views": 44804,
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"bytes": 70944645120
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},
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{
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"path": "training/shape/32/omni6dpose",
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"views": 44788,
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"bytes": 1738895360
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},
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{
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"path": "training/ss/omni6dpose",
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"views": 55848,
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"bytes": 145934909440
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}
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],
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"frames_per_sequence": 3,
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"source_frames": 55851,
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"git_revision": "513895b85af6e56716e1ed51d9352639a27e8e8d",
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"source_sequences": 18617,
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"test_views": 11060,
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"encoded_objects": 628348
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}
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},
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"optional": {
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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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"held_out/omni6dpose": {
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"component": "optional/held_out/omni6dpose",
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"bytes": 17792389120,
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"views": 11044,
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"mask_policy": {
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"version": "visible-mask-area-v1",
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"minimum_area_fraction": 0.001,
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"comparison": "strictly greater",
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"resolution": "native"
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}
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},
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"geometry/omni6dpose": {
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"component": "optional/geometry/omni6dpose",
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"bytes": 12039178240,
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"views": 55848,
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"mask_policy": {
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"version": "visible-mask-area-v1",
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"minimum_area_fraction": 0.001,
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"comparison": "strictly greater",
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"resolution": "native"
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}
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},
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"scene_mask_area/32/omni6dpose": {
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"component": "optional/scene_mask_area/32/omni6dpose",
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"bytes": 1572689920,
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"views": 44788,
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"mask_policy": {
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"version": "visible-mask-area-v1",
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"minimum_area_fraction": 0.001,
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"comparison": "strictly greater",
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"resolution": "native"
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}
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}
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},
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"base_git_revision": "aac7b493e1e5e10512857a2582233c99fedda9c5",
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