nbrightandClaude Opus 5
609d9a6972
Reproduces the SUM Parts (CVPR 2025) face-labeling benchmark on a single consumer GPU, then applies it to drone-photogrammetry road survey meshes. Verified on RTX 3060 12GB / WSL2 Ubuntu 22.04 / CUDA 11.8 / torch 2.0.1: - CUDA extensions build (pointnet2_batch, pointops, chamfer_dist, emd, subsampling) - PointNet 100 epochs reaches mIoU 17.19, matching the paper's reported 15.1 - OBJ -> PLY conversion round-trips through the model and yields per-point predictions Four upstream source patches, all idempotent, originals preserved: - numpy aliases removed in 1.24 (np.long etc.) and collections ABCs moved in python 3.10 - the blind test split ships label = -1, which crashed ConfusionMatrix - mode=val referenced `epoch` before assignment Documents the traps that cost the most time, including VRAM overflow silently falling back to host RAM on WSL2 (25-100x slowdown, no OOM) and the colour scale mismatch between r/g/b float32 and red/green/blue uint8. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
25 lines
737 B
Bash
25 lines
737 B
Bash
#!/usr/bin/env bash
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# SUM Parts - what actually landed on disk after extraction
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set -euo pipefail
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DATA="$HOME/sum-parts/data"
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cd "$DATA"
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printf '%-26s %8s %10s\n' "directory" "ply" "size"
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printf -- '--------------------------------------------------\n'
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for d in */; do
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n=$(find "$d" -name '*.ply' 2>/dev/null | wc -l)
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s=$(du -sh "$d" 2>/dev/null | cut -f1)
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printf '%-26s %8s %10s\n' "$d" "$n" "$s"
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done
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echo
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echo "=== ply per split, two levels down ==="
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find . -mindepth 2 -maxdepth 3 -type d 2>/dev/null | sort | while IFS= read -r d; do
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n=$(find "$d" -maxdepth 1 -name '*.ply' 2>/dev/null | wc -l)
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[ "$n" -gt 0 ] && printf '%-52s %4s ply\n' "$d" "$n"
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done
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echo
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echo "total on disk: $(du -sh "$DATA" | cut -f1)"
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