CT/liver/scripts/run_improved_v2_training_eval.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}"

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

mkdir -p logs experiments/benchmark/full_multitask_improved_v2 experiments/hcc_external_improved_v2

echo "[improved_v2] train full multitask model"
run_py -m liver_tace.train --config configs/benchmark/full_multitask_improved_v2.yaml

echo "[improved_v2] evaluate WAW internal validation"
run_py -m liver_tace.evaluate \
  --config configs/benchmark/full_multitask_improved_v2.yaml \
  --checkpoint experiments/benchmark/full_multitask_improved_v2/checkpoints/best.pt \
  --output-dir experiments/benchmark/full_multitask_improved_v2

echo "[improved_v2] evaluate HCC-TACE-Seg external validation"
run_py -m liver_tace.hcc_external_benchmark --config configs/hcc_external_improved_v2.yaml

echo "[improved_v2] generate visualizations"
run_py -m liver_tace.visualize_results \
  --waw-config configs/benchmark/full_multitask_improved_v2.yaml \
  --waw-checkpoint experiments/benchmark/full_multitask_improved_v2/checkpoints/best.pt \
  --hcc-config configs/hcc_external_improved_v2.yaml \
  --output-dir experiments/visualizations/improved_v2_method \
  --n-cases 6 \
  --device auto

echo "[improved_v2] done"