open-compass / open-compass/VLMEvalKit
Longvideobench的评测是不是有bug?
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- Python
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Description
if video_llm:
message.append(dict(type='video', value=osp.join(self.data_root, line['video_path'])))
else:
if not self.use_subtitle:
with open(osp.join(self.data_root, "subtitles", line["subtitle_path"])) as f:
subtitles = json.load(f)
frame_message = insert_subtitles_into_frames(
frames,
[ind_ / fps for ind_ in indices],
subtitles,
line["starting_timestamp_for_subtitles"],
line["duration"]
)
message += frame_message
else:
for im in frames:
message.append(dict(type='image', value=im))
如果模型是video_llm是不是相当于无论怎么设置其实都是不加字幕的?但longvideobench应该是默认加字幕来评测的吧。
然后if not self.use_subtitle这块感觉命名有点疑惑,虽然这个相当于默认加字幕是合理的,但是这个命名感觉让人困惑。
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First steps
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Research direction
Start from the shown Python subtitle-handling branch and trace the LongVideoBench evaluation entry point, including video_llm and use_subtitle. Verify whether video_llm bypasses subtitles and whether the default matches LongVideoBench’s stated evaluation behavior; done means the behavior and the confusing option naming are resolved consistently.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100