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>
26 lines
675 B
Bash
26 lines
675 B
Bash
#!/usr/bin/env bash
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# SUM Parts - did the dataset.test.voxel_max override actually land?
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set -uo pipefail
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LOG="${1:-$HOME/sum-parts/runs/coarse_eval/infer.log}"
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echo "log: $LOG"
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[ -f "$LOG" ] || { echo " missing"; exit 1; }
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echo
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echo "=== opts line (what was overridden) ==="
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grep -a '^opts:' "$LOG" || echo " (none)"
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echo
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echo "=== dataset block from the cfg dump ==="
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sed -n '/^dataset:/,/^datatransforms:/p' "$LOG" | head -25
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echo
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echo "=== how many sub-clouds per tile ==="
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grep -ao 'Test on [0-9]*-th cloud \[[0-9]*\]/\[[0-9]*\]' "$LOG" \
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| sed 's/.*\///' | sort -u | head
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echo
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echo "=== reported metrics ==="
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grep -aE 'test_oa|iou per cls' "$LOG" | tail -4
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