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# Copyright (c) Meta Platforms, Inc. and affiliates. All Rights Reserved
"""Simple script to run the CGF1 evaluator given a prediction file and GT file(s).
Usage: python standalone_cgf1.py --pred_file <path_to_prediction_file> --gt_files <path_to_gt_file1> <path_to_gt_file2> ...
"""
import argparse
from sam3.eval.cgf1_eval import CGF1Evaluator
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"--pred_file",
type=str,
required=True,
help="Path to the prediction file in COCO format.",
)
parser.add_argument(
"--gt_files",
type=str,
nargs="+",
required=True,
help="Paths to the ground truth files in COCO format.",
)
args = parser.parse_args()
if len(args.gt_files) == 0:
raise ValueError("At least one GT file must be provided.")
is_gold = args.gt_files[0].split("_")[-1].startswith("gold_")
if is_gold and len(args.gt_files) < 3:
print(
"WARNING: based on the name, it seems you are using gold GT files. Typically, there should be 3 GT files for gold subsets (a, b, c)."
)
evaluator = CGF1Evaluator(
gt_path=args.gt_files, verbose=True, iou_type="segm"
) # change to bbox if you want detection performance
results = evaluator.evaluate(args.pred_file)
print(results)
if __name__ == "__main__":
main()
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