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TengdaHan / TemporalAlignNet

[CVPR'22 Oral] Temporal Alignment Networks for Long-term Video. Tengda Han, Weidi Xie, Andrew Zisserman.
MIT License
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Why is my count for the number of videos in htm_aa_v1.csv 247, 564 instead of 370K? #4

Open fake-warrior8 opened 2 years ago

fake-warrior8 commented 2 years ago

Hi, I downloaded htm_aa_v1.csv from the Oxford server you given, I used np.unique to count the video list and found only 247, 564 videos but not 370k videos. Is there something wrong?

yuanzheng625 commented 2 years ago

htm_aa_v1.csv should be the output of TAN, which will be used for downstream representation learning. It is not the HTM370k training set for TAN.

fake-warrior8 commented 2 years ago

htm_aa_v1.csv should be the output of TAN, which will be used for downstream representation learning. It is not the HTM370k training set for TAN.

Will you release a list of video IDs for HTM370K?

yuanzheng625 commented 2 years ago

I am waiting for the author to release their training code and training set as well.

TengdaHan commented 2 years ago

Hi, HTM-370K is ready to download from the project page. We provide two files:

  1. YouTube ASR sentences: [sentences, start-timestamps, end-timestamps] for each video,
  2. The video IDs in a txt file.

We recently find YouTube ASR quality improves over time -- the ASR file released by the HowTo100M team 3 years ago (https://www.di.ens.fr/willow/research/howto100m/) has many low-quality ASR texts. So we re-downloaded the YouTube ASR files in June and went through the pre-processing pipeline, to release these ASR files with better quality.

I'm working on the rest. Thank you for your patience.