Spaces:
Runtime error
Runtime error
File size: 1,743 Bytes
5244231 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
import os
import argparse
import json
from llava.eval.m4c_evaluator import EvalAIAnswerProcessor
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('--dir', type=str, default="./playground/data/eval/vqav2")
parser.add_argument('--ckpt', type=str, required=True)
parser.add_argument('--split', type=str, required=True)
return parser.parse_args()
if __name__ == '__main__':
args = parse_args()
src = os.path.join(args.dir, 'answers', args.split, args.ckpt, 'merge.jsonl')
test_split = os.path.join(args.dir, 'llava_vqav2_mscoco_test2015.jsonl')
dst = os.path.join(args.dir, 'answers_upload', args.split, f'{args.ckpt}.json')
os.makedirs(os.path.dirname(dst), exist_ok=True)
results = []
error_line = 0
for line_idx, line in enumerate(open(src)):
try:
results.append(json.loads(line))
except:
error_line += 1
results = {x['question_id']: x['text'] for x in results}
test_split = [json.loads(line) for line in open(test_split)]
split_ids = set([x['question_id'] for x in test_split])
print(f'total results: {len(results)}, total split: {len(test_split)}, error_line: {error_line}')
all_answers = []
answer_processor = EvalAIAnswerProcessor()
for x in test_split:
if x['question_id'] not in results:
all_answers.append({
'question_id': x['question_id'],
'answer': ''
})
else:
all_answers.append({
'question_id': x['question_id'],
'answer': answer_processor(results[x['question_id']])
})
with open(dst, 'w') as f:
json.dump(all_answers, open(dst, 'w'))
|