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import os
import argparse
import json
import re
import sys
print(sys.path)
# from mova.eval.m4c_evaluator import ChartVQAEvaluator
from llava.eval.m4c_evaluator import TextVQAAccuracyEvaluator, STVQAAccuracyEvaluator
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('--annotation-file', type=str)
parser.add_argument('--result-file', type=str)
parser.add_argument('--result-dir', type=str)
parser.add_argument('--mid_result', type=str)
parser.add_argument('--output_result', type=str)
return parser.parse_args()
def eval_single(annotation_file, result_file):
experiment_name = os.path.splitext(os.path.basename(result_file))[0]
print(experiment_name)
# annotations = json.load(open(annotation_file))['data']
annotations = [
json.loads(q) for q in open(os.path.expanduser(annotation_file), "r")
]
annotations = {(annotation['question_id'], annotation['question'].lower()): annotation for annotation in annotations}
results = [json.loads(line) for line in open(result_file)]
pred_list = []
mid_list = []
for result in results:
annotation = annotations[(result['question_id'], result['prompt'].lower())]
pred_list.append({
"pred_answer": result['text'].lower(),
"gt_answers": [annotation['answer'].lower()],
})
mid_list.append(result)
mid_list[-1]["annotation"] = annotation['answer']
# evaluator = ChartVQAEvaluator()
# acc, acc_list = evaluator.evaluate_relaxed_accuracy(pred_list)
# evaluator = TextVQAAccuracyEvaluator()
evaluator = STVQAAccuracyEvaluator()
acc = evaluator.eval_pred_list(pred_list)
acc = 100. * acc
# for num, d in zip(acc_list, mid_list):
# d["acc"] = num
print('Samples: {}\nAccuracy: {:.2f}%\n'.format(len(pred_list), acc))
return len(pred_list), acc, mid_list
if __name__ == "__main__":
args = get_args()
if args.result_file is not None:
samples, acc, mid_result = eval_single(args.annotation_file, args.result_file)
if args.result_dir is not None:
for result_file in sorted(os.listdir(args.result_dir)):
if not result_file.endswith('.jsonl'):
print(f'Skipping {result_file}')
continue
samples, acc, mid_result = eval_single(args.annotation_file, os.path.join(args.result_dir, result_file))
# with open(args.mid_result, 'w') as f:
# json.dump(mid_result, f, indent=2)
# output_folder = os.path.dirname(args.output_result)
# print(output_folder)
# os.makedirs(os.path.dirname(output_folder), exist_ok=True)
# with open(args.output_result, 'w') as f:
# json.dump({'samples': samples, 'acc': acc}, f, indent=2)
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