| | import pathlib |
| | from vlmeval.dataset.utils.mmdocbench_eval import update_data_format, eval_mmdocbench |
| |
|
| | from .image_base import ImageBaseDataset |
| | from ..smp import * |
| |
|
| |
|
| | class MMDocBench(ImageBaseDataset): |
| | TYPE = 'MMDoc' |
| | DATASET_URL = { |
| | 'MMDocBench': '' |
| | } |
| | DATASET_MD5 = {'MMDocBench': None} |
| |
|
| | @classmethod |
| | def evaluate(self, eval_file, **judge_kwargs): |
| | data = load(eval_file) |
| | data2 = update_data_format(data) |
| | data2.drop("task", axis=1, inplace=True) |
| | data2.drop("sub_task", axis=1, inplace=True) |
| | data2.drop("image_path", axis=1, inplace=True) |
| | data2.drop("full_prediction", axis=1, inplace=True) |
| | data2.drop("raw_question", axis=1, inplace=True) |
| | data2.drop("question", axis=1, inplace=True) |
| | data2 = json.loads(data2.to_json(orient="records")) |
| | accs = {"Visual Perception": 0, "Visual Reasoning": 0} |
| | cnts = {"Visual Perception": 0, "Visual Reasoning": 0} |
| | for r in data2: |
| | cnts[r["category"]] += 1 |
| | accs[r["category"]] += eval_mmdocbench("" if r["prediction"] is None else r["prediction"], r["answer"], strict=False) |
| | for k in accs: |
| | accs[k] = accs[k] / cnts[k] |
| | accs["Overall"] = (accs["Visual Perception"] + accs["Visual Reasoning"]) / 2 |
| | df_score = pd.DataFrame.from_dict(accs, orient='index', columns=['accuracy']) |
| | |
| | df_score.to_excel(eval_file.replace('.xlsx', '_score.xlsx'), index=True) |
| | return df_score |
| |
|
| | def build_prompt(self, line): |
| | if isinstance(line, int): |
| | line = self.data.iloc[line] |
| |
|
| | if self.meta_only: |
| | tgt_path = toliststr(line['image_path']) |
| | else: |
| | tgt_path = self.dump_image(line) |
| |
|
| | question = line['question'] |
| | msgs = [] |
| | if isinstance(tgt_path, list): |
| | msgs.extend([dict(type='image', value=p) for p in tgt_path]) |
| | else: |
| | msgs = [dict(type='image', value=tgt_path)] |
| | msgs.append(dict(type='text', value=question)) |
| |
|
| | return msgs |
| |
|
