CT/liver/scripts/run_recent_benchmark.sh

#!/usr/bin/env bash
set -euo pipefail

ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
cd "$ROOT_DIR"

export PYTHONPATH="$ROOT_DIR/src:${PYTHONPATH:-}"
CONDA_ENV="${CONDA_ENV:-ct}"
CONFIG="${1:-configs/recent_benchmark.yaml}"

run_py() {
  conda run --no-capture-output -n "$CONDA_ENV" python "$@"
}

mkdir -p logs experiments/recent_benchmark

for method in \
  nnunet_resenc_2024 \
  transunet_media_2024 \
  segmamba_miccai_2024 \
  swin_umamba_miccai_2024 \
  hybridmamba_miccai_2025
do
  echo "[recent-benchmark] train/eval ${method}"
  run_py -m liver_tace.recent_segmentation_benchmark --config "$CONFIG" --method "$method"
done

echo "[recent-benchmark] aggregate"
run_py -m liver_tace.aggregate_benchmark --config "$CONFIG" --output-dir experiments/recent_benchmark

echo "[recent-benchmark] done: experiments/recent_benchmark/benchmark_summary.csv"