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Query for Pre-training Details #6

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bruceyo opened this issue May 17, 2021 · 2 comments
Open

Query for Pre-training Details #6

bruceyo opened this issue May 17, 2021 · 2 comments

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@bruceyo
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bruceyo commented May 17, 2021

Hi Kyle Min, thank you for releasing the code and pre-trained model.

Could you kindly provide the training details like below for reproducing the accuracy on Kinetics? Thank you.

  1. image size, is it resized to 224384 (heightwidth);
  2. number of video frames, is it 32 frames, or 64 frames, or whole video frames;
  3. do you use normalization by using the mean ([0.485, 0.456, 0.406]) and std ([0.229, 0.224, 0.225]).

Right now, without normalization and follow your code (i.e., the pre-processing in the main.py), I could get around 55% of accuracy on Kinetics 400 by using the image size of 224*384 and 32 frames.

Thank you in advance and appreciate your excellent work.

@kylemin
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kylemin commented May 21, 2021

Hi,
Thank you for your interest.

We followed the standard convention of Deepmind/I3D. Please refer to the previous discussion: link. All the training/testing details are in the original I3D paper.

@bruceyo
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bruceyo commented May 22, 2021

Hi,
Thank you for your interest.

We followed the standard convention of Deepmind/I3D. Please refer to the previous discussion: link. All the training/testing details are in the original I3D paper.

Thank you for the kind reply. I note that the I3D paper uses the whole video. I also found that using more video frames leads to better performance. Thank you again :)

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