data-veil/run1.txt at main · TangYewLabs/data-veil · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46

=== Depth ===
  shape:             (64, 96)
  trusted min..max:  0.463 .. 3.542
  veiled  min..max:  0.463 .. 3.542
  mean abs diff:     0.339
  max  abs diff:     2.701

=== LiDAR ranges ===
  shape:             (128,)
  trusted min..max:  1.418 .. 4.105
  veiled  min..max:  1.418 .. 4.105
  mean abs diff:     0.907
  max  abs diff:     2.672

=== Radar map ===
  shape:             (48, 32)
  trusted min..max:  0.000 .. 1.026
  veiled  min..max:  0.000 .. 1.020
  mean abs diff:     0.118
  max  abs diff:     0.974

=== Thermal ===
  shape:             (48, 64)
  trusted min..max:  24.329 .. 35.798
  veiled  min..max:  24.329 .. 35.312
  mean abs diff:     1.184
  max  abs diff:     6.445

=== IMU gyro (gx, gy, gz) ===
  shape:             (3, 200)
  trusted min..max:  -0.418 .. 0.408
  veiled  min..max:  -1.275 .. 1.878
  mean abs diff:     0.215
  max  abs diff:     1.836

=== IMU accel (ax, ay, az) ===
  shape:             (3, 200)
  trusted min..max:  -9.959 .. 0.332
  veiled  min..max:  -16.057 .. 5.545
  mean abs diff:     1.121
  max  abs diff:     6.373

Integration example complete.
This is how you would call data_veil_core on raw sensor arrays.
Trusted = used internally; veiled = sent to untrusted consumers.