jjparkcv
jjparkcv
Thanks for the reply @rosinality Using your parameters, the 'filter_parameters' function outputs cutoff frequency as: p['cutoffs'] => [2.0, 2.82842712474619, 4.0, 5.656854249492381, 7.999999999999999, 11.313708498984761, 16.0, 22.627416997969526, 31.999999999999996, 45.254833995939045, 64.00000000000001, 90.50966799187808, 128.0,...
Hi, thank you for your clarifications. On a separate note, could you explain a bit about padding for upsampling and downsampling? The paper says it avoids zero-padding because it introduces...
Ah, I think I get it. So the zero-padding is only affecting the margins, not the main signal?
I see. I think your guess is quite reasonable. Except I wonder if the unbalanced padding (i.e., different right and left padding) would introduce any bias. But other than that,...
I'm curious about this too... I would like to have access to the 3D models.
May I ask what do you do after you get the transform.json file? @lixinghe1999