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>
29 lines
674 B
Bash
29 lines
674 B
Bash
#!/usr/bin/env bash
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# SUM Parts - dump everything about the most recent run attempt
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set -uo pipefail
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RUNROOT="$HOME/sum-parts/runs"
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D="${1:-$(cat "$RUNROOT/.latest" 2>/dev/null)}"
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echo "run dir: $D"
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[ -d "$D" ] || { echo " (missing)"; exit 1; }
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ls -la "$D"
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for f in watchdog.log nohup.out status.txt train.log; do
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echo
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echo "=== $f ==="
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if [ -f "$D/$f" ]; then
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tail -30 "$D/$f"
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else
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echo " (absent)"
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fi
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done
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echo
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echo "=== processes ==="
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pgrep -af 'train_watchdog|main.py' || echo " none running"
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echo
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echo "=== syntax check of watchdog ==="
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bash -n /mnt/d/MYCLAUDE_PROJECT/sum-parts-test/scripts/train_watchdog.sh && echo " OK"
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