Comments (3)
ArrowLuo
commented on July 22, 2024
1
Hi @HuBot2020, It is ok for the postfix of the feature filename, e.g., '.mp4.npy' or '.npy'. We have no other processing on the extracted feature. But I do not know what the difference is between the '.mp4.npy shared by the dataset owner and ours.
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ArrowLuo
commented on July 22, 2024
Hi @ShinJQ, I am afraid that I can not share the file now. The official CSV contains about 1.2M video ids so you can generate the HowTo100M.csv easily. Best.
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HuBot2020
commented on July 22, 2024
Hi @ArrowLuo , sorry to bother, but I'm noticing that the pre-extracted feature files for HowTo100M supplied by the dataset owner have a file extension of '.mp4.npy' while in the README for uniVL you have the feature file with file extension '.npy'. Is this of any concern? Did you and your team do any extra processing for the feature files to get the '.npy' file extension for feature files?
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Related Issues (20)
- How to fine-tune with additional layers before UniVL? HOT 2
- Run Without Distributed HOT 3
- TypeError: bad operand type for unary -: 'list' HOT 6
- How to run captioning task on my own video datasets? HOT 1
- Pre-training acceleration using multi-machine distributed training HOT 1
- This repo is missing important files HOT 1
- Unable to run video captioning code HOT 3
- where to get transcript to generate youcookii_data.pickle HOT 2
- end-to-end video file captioning process HOT 3
- feature & data shape HOT 6
- How can I create my video feature pickle HOT 4
- video only test for youcook HOT 2
- How to only input text feature or video feature HOT 2
- Is there a code for Finetune on CMU-MOSI here? HOT 1
- Issues about Freezing some additional layers instead of meanP in CLIP4Clip HOT 2
- Error message (torch.distributed.elastic.multiprocessing.errors.ChildFailedError:)
- Estimate of zero-shot performance HOT 1
- Zero score (every output is None) on evaluation captioning with pretrained model HOT 1
- Non-Configurable GPU Count via Arguments
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