#!/usr/bin/env bash
# SUM Parts - re-score existing predictions without re-running inference
#
# The prediction plys are already on disk; only the scoring changed. No GPU,
# takes seconds.
set -uo pipefail

SCRIPTS="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
DATA="$HOME/sum-parts/data/face_labeling/texsp_pcl"
LOGROOT="$HOME/sum-parts/semantic_segmentation/PointNeXt_bundle/examples/segmentation/log/sumv2_triangle"
OUT="$HOME/sum-parts/runs/coarse_eval"

source "$HOME/miniconda3/etc/profile.d/conda.sh"
conda activate sumparts

mkdir -p "$OUT"

VIS=$(find "$LOGROOT" -type d -name visualization -printf '%T@ %p\n' \
      | sort -rn | head -1 | cut -d' ' -f2-)
[ -n "$VIS" ] || { echo "no visualization directory found"; exit 1; }

echo "predictions: $VIS"
echo "ground truth: $DATA/val"
echo

python "$SCRIPTS/coarse_eval.py" --pred-dir "$VIS" --gt-dir "$DATA/val" \
    | tee "$OUT/coarse.txt"