Download scripts/prepare_eval_jsons.sh from ProAudience/agenthoi-eval: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ProAudience/agenthoi-eval/resolve/main/scripts/prepare_eval_jsons.sh
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curl -L -o prepare_eval_jsons.sh https://huggingface.co/datasets/ProAudience/agenthoi-eval/resolve/main/scripts/prepare_eval_jsons.sh
691 Bytes
| # 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}" | |