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UFR-Fing

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UFR-Fing
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#!/usr/bin/env bash
# Auto-eval v12: chαΊ‘y sau khi training xong
# Usage: bash sifq/scripts/run_eval_v12.sh [training_pid]
# Nếu không có PID thì chẑy ngay

set -e
REPO_ROOT="/home/aiserver/works/fingerprint"
VENV="$REPO_ROOT/.venv"
CKPT="$REPO_ROOT/sifq/checkpoints_full_v12/last.pt"
SCORES="$REPO_ROOT/sifq/eval_results/sifq_scores_v12.jsonl"
OUTDIR="$REPO_ROOT/sifq/eval_results/v12"

source "$VENV/bin/activate"
cd "$REPO_ROOT"

TRAIN_PID="${1:-}"
if [[ -n "$TRAIN_PID" ]]; then
    echo "[eval_v12] Waiting for training PID $TRAIN_PID to finish..."
    while kill -0 "$TRAIN_PID" 2>/dev/null; do
        sleep 30
    done
    echo "[eval_v12] Training finished. Starting eval..."
fi

mkdir -p "$OUTDIR"

# ── Inference ──────────────────────────────────────────────────────────────
echo "[eval_v12] Running inference on $CKPT ..."
python sifq/scripts/run_infer.py \
    --checkpoint "$CKPT" \
    --output     "$SCORES"

echo "[eval_v12] Inference done: $SCORES"

# ── Evaluation ─────────────────────────────────────────────────────────────
echo "[eval_v12] Running evaluation (Track 2 + Track 4)..."
python sifq/scripts/run_eval.py \
    --sifq-scores "$SCORES" \
    --checkpoint  "$CKPT" \
    --out-dir     "$OUTDIR" \
    --skip-track1

echo "[eval_v12] Eval done. Results in $OUTDIR"
echo ""
echo "=== SUMMARY ==="
cat "$OUTDIR/eval_summary.json"