"Thank you for your work, I have a question about clip_timestamp. I noticed that when calculating the FVD (Fréchet Video Distance) metric, only the first clip_timestamp frames are taken into account. Is this a reasonable approach? Does it meet the requirements of the paper? For example, if I want to test related metrics on the UCF101 dataset, how should I choose?"

Hi! Thanks for your work. I have this error when running demo.py: RuntimeError: forward() is missing value for argument 'x'. Declaration: forward(torch.src.i3dpt_jit.I3D self, Tensor x, bool rescale=False, bool resize=False, bool return_features=False) -> Tensor. It comes from line 27 in fvd/styleganv/fvd.py. It seems that the input is taken as self' and no value for argument x'.

Hello. In the README you say that with scipy>1.9 FVD calculations will be wrong. Could you, please, fix the calculation method for newer versions of scipy or at least elaborate further on why that happens?

hi,
how come you calculate the fvd score with the output of the logits layer? Doesnt the idea of the FID and FVD come from using the feature space?

Hi, thanks for your codebase! In calculate_lpips.py, it says image should be RGB, IMPORTANT: normalized to [-1,1]. https://github.com/JunyaoHu/common_metrics_on_video_quality/blob/c12e449540cf27c1b1412c8012ecc35413fda6a7/calculate_lpips.py#L26C59-L26C59 However, in the README notice section, it says Make sure the pixel value of videos should be in [0, 1].

What's the difference between i3d_pretrained_400.pt and i3d_torchscript.pt? I don't know much about this.

How do I use it when I test fvd?

I have a question. When testing indicators, should the number of frames and the number of videos generated by the algorithm be the same as the test video?

Hello, how can I calculate the FVD of 8 frames short video? Thank you!

Nice practical tool kit ！

I have a question about using the code to calculate FVD on a whole dataset. I have thousands of videos, and I think it is hard for me to calculate FVD simply by setting the parameter 'NUMBER_OF_VIDEOS' to e.g. 4000 considering the computation cost.

So, how should I calculate FVD on a large dataset, maybe by iteratively calculating batch by batch and then average the number ?

Thanks in advance!