File size: 1,651 Bytes
c728d79
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
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"))