Stitching Mask Generation

In [5]:

    

import numpy as np
stitching_size = 32
random_percent = np.linspace(0, 1, stitching_size)
print(random_percent)


    

    




[ 0.          0.03225806  0.06451613  0.09677419  0.12903226  0.16129032
  0.19354839  0.22580645  0.25806452  0.29032258  0.32258065  0.35483871
  0.38709677  0.41935484  0.4516129   0.48387097  0.51612903  0.5483871
  0.58064516  0.61290323  0.64516129  0.67741935  0.70967742  0.74193548
  0.77419355  0.80645161  0.83870968  0.87096774  0.90322581  0.93548387
  0.96774194  1.        ]

In [6]:

    

import numpy as np
nbr_of_values = 26
amplitude_value = np.linspace(100, 0, nbr_of_values)
print(amplitude_value)


    

    




[ 100.   96.   92.   88.   84.   80.   76.   72.   68.   64.   60.   56.
   52.   48.   44.   40.   36.   32.   28.   24.   20.   16.   12.    8.
    4.    0.]