Comments (1)
Hi, thanks for your question! Currently there are several supported formats (like MP4 and GIF). See this function for video loading: https://github.com/Vchitect/VBench/blob/master/vbench/utils.py#L101
VBench has already considered the influence from frame rate and resolution during evaluation.
For example, some dimensions can be sensitive to video frame rate, like "Dynamic Degree". For higher frame rate videos, the dynamics (movement) between two consecutive frames are generally smaller, resulting in a false result of "low dynamic degree". Therefore, we eliminate frame rate's influence at the preprocessing step: https://github.com/Vchitect/VBench/blob/master/vbench/dynamic_degree.py#L86C9-L86C19
So during evaluation, you can directly supply the raw video without any preprocessing to VBench, and VBench will take care of any preprocessing needed for individual evaluation dimensions.
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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
- 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
- Evaluation of True Videos HOT 4
- 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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