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I wonder where does val_label.npy, val_out.npy, and val.npy came from?
My guess is that they are randomly drawn from the validation split of the seen classes in the val setting.
For example, for NTU 55/5, we also take the 50/5 split in the 55 seen classes for training the gate module, and the val*.npys are taken from the validation split of the 50 seen classes.
I have another question about the size of val*.npys:
for NTU 55/5, you take 2000 samples
for NTU 48/12, you take 1440 samples
for NTU 110/10, you take 3240 samples
for NTU 96/24, you take 7200 samples.
I wonder if I could know how do you decide how many samples to take?
Thanks in advance!
The text was updated successfully, but these errors were encountered:
Hi,
I wonder where does
val_label.npy
,val_out.npy
, andval.npy
came from?My guess is that they are randomly drawn from the validation split of the seen classes in the val setting.
For example, for NTU 55/5, we also take the 50/5 split in the 55 seen classes for training the gate module, and the val*.npys are taken from the validation split of the 50 seen classes.
I have another question about the size of
val*.npy
s:I wonder if I could know how do you decide how many samples to take?
Thanks in advance!
The text was updated successfully, but these errors were encountered: