Hi @ALL ,
I just tried training a model for Punch/Flex gesture and was not able to understand why are we adding 4 and dividing by 8 similarly for 2000 and 4000 for gx values:
tensor += [
(df['aX'][index] + 4) / 8,
(df['aY'][index] + 4) / 8,
(df['aZ'][index] + 4) / 8,
(df['gX'][index] + 2000) / 4000,
(df['gY'][index] + 2000) / 4000,
(df['gZ'][index] + 2000) / 4000
]
If I capture my own custom data will these value change if yes then how we can feed in the right values for normalising the input tensor
Thanks
Hi @ALL ,
I just tried training a model for Punch/Flex gesture and was not able to understand why are we adding 4 and dividing by 8 similarly for 2000 and 4000 for gx values:
tensor += [
(df['aX'][index] + 4) / 8,
(df['aY'][index] + 4) / 8,
(df['aZ'][index] + 4) / 8,
(df['gX'][index] + 2000) / 4000,
(df['gY'][index] + 2000) / 4000,
(df['gZ'][index] + 2000) / 4000
]
If I capture my own custom data will these value change if yes then how we can feed in the right values for normalising the input tensor
Thanks