Comments (3)
Hi @xmu-xiaoma666, this prompt is caused by this line. I think two factors will cause such an error, 1) the video is not found, 2) the video is damaged. If nothing is wrong with the video, a suggestion is to debug the line and the RawVideoExtractor itself.
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I have the same mistakes. Would you finally solve this problem? What's wrong with these videos?The raw_video_data's shapes of these videos are [1] causing the error. However, I have tired to make a demo.py to check the wrong videos independently. The raw_video_data's shapes of these videos are more than 3 proving there is nothing wrong with the raw videos. I have no idea to solve this problem.
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Hi @shirlyliu, do you mean your demo.py can extract the right tensor from these wrong videos? If so, a not wise approach is to set video_path
at here with a wrong video arbitrarily, then print the shape. Maybe something wrong in rawvideo_util.py
.
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Related Issues (20)
- Use my own videos HOT 1
- Question about the calculation method of loss when there are multiple gpus HOT 1
- Results on MSRVTT and MSVD HOT 3
- running the project HOT 1
- Problem about reproducing the model HOT 1
- Reproduction on LSMDC DataSet HOT 6
- What do Pair, L, T stand for in the code? HOT 3
- How to use this repo to retrieve clips among videos by text?
- train dataset is shuffled regardless of seed
- AttributeError: Caught AttributeError in DataLoader worker process 0.
- Video-to-video retrieval?
- ValueError: Parameter config in `CLIP4Clip(config)` should be an instance of class `PretrainedConfig`. To create a model from a Google pretrained model use `model = CLIP4Clip.from_pretrained(PRETRAINED_MODEL_NAME)`
- Problem about Multi-GPU-Train architecture
- post-pretrain or downstream tasks parameters
- Evaluation Procedure for Reporting Performance
- About 3D Patch Linear
- Large performance drop if trained with fp32. HOT 1
- [PAD_TOKEN] is not used, but just adding 0
- train files HOT 1
- Directly pass the entire config as a argument to a function
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