Comments (4)
Hi, thanks for your interest in our work. Could you let us know which step you get stuck at? We are happy to assist.
from vbench.
Yes, after download the VBench_full_info.json (not edited and I don't know what the content means), then I run
vbench evaluate --videos_path ./videos/ --dimension "imaging_quality"
,
Then I got
site-packages/vbench/imaging_quality.py", line 20, in technical_quality average_score = sum([o['video_results'] for o in video_results]) / len(video_results) ZeroDivisionError: division by zero
The reason is because the video_list
inputed in the following
site-packages/vbench/imaging_quality.py", line 33, in compute_imaging_quality all_results, video_results = technical_quality(model, video_list, device)
is empty.
But under the given path ./videos/
, there are hundreds of videos, I can't solve this.
from vbench.
Can you provide ls ./videos
?
from vbench.
OK, I know, it's about writing your own VBench_full.json
; My goal is not to evaluate AIGC generated videos but true videos, so I rewrite VBench module and it worked.
from vbench.
Related Issues (20)
- FileNotFoundError: [Errno 2] No such file or directory: './VBench_full_info.json' HOT 3
- Cannot find and process videos under provided directory HOT 2
- Evaluation data issues HOT 1
- generating videos from images HOT 9
- how to execute the project ? HOT 2
- FileNotFoundError: [Errno 2] No such file or directory: './VBench_full_info.json' HOT 2
- how to use detectron2(which require torch<=1.10) and the torch>=1.12 in requirement HOT 1
- provide the pretrained weights for reproducing the results in leaderboard HOT 3
- What does the result means? HOT 2
- Why is the SVD not included? HOT 2
- Where can I find open source video data? HOT 2
- Where is the human preference data? HOT 3
- About the size and number of frames HOT 2
- Some problems HOT 13
- LeaderBoard code HOT 6
- LeaderBoard sampled videos
- run inference on customized video and prompt?
- score range for each dimension? HOT 2
- Request for detailed instructions for submitting evaluation results to the leaderboard
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