#!/usr/bin/env bash
# Regenerate metric manifests from benchmark JSON (uses datasets/; portable for inference).
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# shellcheck source=eval_common.sh
source "${SCRIPT_DIR}/eval_common.sh"

INPUT_JSON="${INPUT_JSON:-${DATASETS_DIR}/hoi_crosstest_20251107.json}"
OBJ_TABLE="${OBJ_TABLE:-${DATASETS_DIR}/prompt_translated3.json}"
OBJ_DINO_OUT="${OBJ_DINO_OUT:-${MANIFESTS_DIR}/obj_dino_crosstest.json}"
TVA_OUT="${TVA_OUT:-${MANIFESTS_DIR}/tva_crosstest.json}"

python3 "${SCRIPT_DIR}/prepare_eval_jsons.py" \
  --input "${INPUT_JSON}" \
  --obj_table "${OBJ_TABLE}" \
  --obj_dino_out "${OBJ_DINO_OUT}" \
  --tva_out "${TVA_OUT}"