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THGS — LERF-OVS language_features (precomputed)
Precomputed per-view language features for the 4 LERF-OVS scenes
(figurines, ramen, teatime, waldo_kitchen), used as input to the
THGS pipeline (merge_proj.py, Stage 3 replay).
For each training image there are two files:
| file | content |
|---|---|
frame_XXXXX_s.npy |
per-view SAM segmentation maps (4-level, LangSplat-variant SAM) |
frame_XXXXX_f.npy |
per-mask CLIP features |
Generated with scripts/image_encoding.py using the
segment-anything-langsplat
SAM variant (the standard segment-anything does not work — generate()
must return a 4-level tuple) and sam_vit_h_4b8939.pth.
Regenerating from scratch takes ~4 GPU-hours; this dataset lets you skip that.
Usage
Download into your THGS repo so the layout becomes
data/lerf_ovs/<scene>/language_features/*.npy:
hf download JUNHAKBAE/THGS-lerf-ovs-language-features \
--repo-type dataset --local-dir data/lerf_ovs
Total size ≈ 9 GB (figurines 3.4G, ramen 1.5G, teatime 2.0G, waldo_kitchen 2.1G).
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