Document GT occlusion cache upload and restoration

README.md

@@ -64,6 +64,62 @@ The extent archives exclude diagnostic subsets, raw downloads, model weights, an
 FoundationPose currently has raw archives only.
 
 
+## GT occlusion relations
+
+Separate archives under `precomputed_occlusion/` preserve the completed GT occlusion caches.
+The caches contain directed `[front, back]` relations from calibrated visible masks and posed GT mesh silhouettes.
+Each archive preserves the original matrices, completion records, and manifest bytes.
+
+| Dataset | Training views | Test views | Archives | Size, MB |
+| --- | ---: | ---: | ---: | ---: |
+| 3D-FRONT | 39,930 | 10,066 | 3 | 240.01 |
+| SAGE-10k | 17,456 | 1,952 | 3 | 103.45 |
+| Total | 57,386 | 12,018 | 6 | 343.46 |
+
+MB means decimal megabytes.
+The inventories at `precomputed_occlusion/<dataset>/index.json` record archive sizes and SHA-256 checksums.
+They also preserve the source policy and checksum of the matching extent manifest.
+
+### Download GT occlusion caches
+
+Restore the matching extent datasets before these overlays.
+Run these commands from the repository root.
+
+```bash
+python -m preprocess.huggingface download \
+  --repo cubec/PartProbe3D-preprocessed --bundle-root precomputed_occlusion \
+  --dataset 3dfront --revision 88cdf8f0e880a33e7cafa580ee9722776f16aa28 --cleanup
+python -m preprocess.huggingface download \
+  --repo cubec/PartProbe3D-preprocessed --bundle-root precomputed_occlusion \
+  --dataset sage --revision 88cdf8f0e880a33e7cafa580ee9722776f16aa28 --cleanup
+```
+
+The commands restore `datasets/<dataset>/extent/point_cloud/occlusion/`.
+The downloader verifies each archive and refuses to replace different existing files.
+The dataset reader checks the extent manifest identity before reading GT relations.
+
+SS training with occlusion-aware object cross-attention reads these relations.
+SLAT shape tokens already have instance identities and require no occlusion matrix.
+Frozen image features and SLAT shape latents remain separate artifacts.
+
+
+### Publish GT occlusion caches
+
+Package the verified caches from the prepared extent roots:
+
+```bash
+python -m preprocess.huggingface pack --artifact-kind gt-occlusion \
+  --dataset 3dfront=datasets/3dfront/extent/point_cloud \
+  --dataset sage=datasets/sage/extent/point_cloud \
+  --output outputs/huggingface/gt_occlusion
+python -m preprocess.huggingface upload \
+  --repo cubec/PartProbe3D-preprocessed --bundle-root precomputed_occlusion \
+  --dataset 3dfront --dataset sage --output outputs/huggingface/gt_occlusion
+```
+
+Packaging checks every matrix checksum and its completion record.
+The uploader publishes complete inventories after it verifies all remote archives.
+
 ## SLAT shape: upload and download specification
 
 The repository contains prepared extent datasets and separate SLAT-shape targets.

precomputed_occlusion/README.md

@@ -0,0 +1,54 @@
+# GT occlusion relations
+
+Separate archives under `precomputed_occlusion/` preserve the completed GT occlusion caches.
+The caches contain directed `[front, back]` relations from calibrated visible masks and posed GT mesh silhouettes.
+Each archive preserves the original matrices, completion records, and manifest bytes.
+
+| Dataset | Training views | Test views | Archives | Size, MB |
+| --- | ---: | ---: | ---: | ---: |
+| 3D-FRONT | 39,930 | 10,066 | 3 | 240.01 |
+| SAGE-10k | 17,456 | 1,952 | 3 | 103.45 |
+| Total | 57,386 | 12,018 | 6 | 343.46 |
+
+MB means decimal megabytes.
+The inventories at `precomputed_occlusion/<dataset>/index.json` record archive sizes and SHA-256 checksums.
+They also preserve the source policy and checksum of the matching extent manifest.
+
+## Download GT occlusion caches
+
+Restore the matching extent datasets before these overlays.
+Run these commands from the repository root.
+
+```bash
+python -m preprocess.huggingface download \
+  --repo cubec/PartProbe3D-preprocessed --bundle-root precomputed_occlusion \
+  --dataset 3dfront --revision 88cdf8f0e880a33e7cafa580ee9722776f16aa28 --cleanup
+python -m preprocess.huggingface download \
+  --repo cubec/PartProbe3D-preprocessed --bundle-root precomputed_occlusion \
+  --dataset sage --revision 88cdf8f0e880a33e7cafa580ee9722776f16aa28 --cleanup
+```
+
+The commands restore `datasets/<dataset>/extent/point_cloud/occlusion/`.
+The downloader verifies each archive and refuses to replace different existing files.
+The dataset reader checks the extent manifest identity before reading GT relations.
+
+SS training with occlusion-aware object cross-attention reads these relations.
+SLAT shape tokens already have instance identities and require no occlusion matrix.
+Frozen image features and SLAT shape latents remain separate artifacts.
+
+## Publish GT occlusion caches
+
+Package the verified caches from the prepared extent roots:
+
+```bash
+python -m preprocess.huggingface pack --artifact-kind gt-occlusion \
+  --dataset 3dfront=datasets/3dfront/extent/point_cloud \
+  --dataset sage=datasets/sage/extent/point_cloud \
+  --output outputs/huggingface/gt_occlusion
+python -m preprocess.huggingface upload \
+  --repo cubec/PartProbe3D-preprocessed --bundle-root precomputed_occlusion \
+  --dataset 3dfront --dataset sage --output outputs/huggingface/gt_occlusion
+```
+
+Packaging checks every matrix checksum and its completion record.
+The uploader publishes complete inventories after it verifies all remote archives.