INPUT_MEAN and INPUT_STD, how the values come?

[chunhuaqiushi1989]

hello, all my friends,
in the code:
norm_lidar = (lidar - self._mc.INPUT_MEAN) / self._mc.INPUT_STD

x, y, z, intensity, distance

mc.INPUT_MEAN = np.array([[[10.88, 0.23, -1.04, 0.21, 12.12]]])
mc.INPUT_STD = np.array([[[11.47, 6.91, 0.86, 0.16, 12.32]]])

And I don't understand how the values(INPUT_MEAN and INPUT_STD) are from?

[Meranre]

i think it's mean of {x,y,z,intensity , distance } and variance of the same data , you can calculate them with your own data if you want , here they have already calculate them i think

[Zhen-ao]

i think it's mean of {x,y,z,intensity , distance } and variance of the same data , you can calculate them with your own data if you want , here they have already calculate them i think

@Meranre Hi~ I also have this problem. This is the value I calculated:

#x, y, z, intensity, distance
mc.INPUT_MEAN = np.array([[[-0.1023, 0.4952, -1.0545, 0.2877, 11.7127]]])
mc.INPUT_STD = np.array([[[12.2958, 9.4287, 0.86, 0.1450, 10.24]]])

I calculate the mean of all x, y, and z in the data set. Especially the value of x=-0.1023 I calculated is quite different from the value providedx= 10.88 . How did you solve it?