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Data_augV7 : Proba sequentielles + Minor improvements

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Harle, Antoine (Contracteur) 2020-01-22 16:53:27 -05:00
parent f2019aae4a
commit dc18397660
4 changed files with 317 additions and 11 deletions
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16
higher/transformations.py
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@ -187,20 +187,20 @@ def float_parameter(level, maxval):
A float that results from scaling `maxval` according to `level`.
"""
#return float(level) * maxval / PARAMETER_MAX
return (level * maxval / PARAMETER_MAX)#.to(torch.float)
#return float(level) * maxval / PARAMETER_MAX
return (level * maxval / PARAMETER_MAX)#.to(torch.float)
#def int_parameter(level, maxval): #Perte de gradient
"""Helper function to scale `val` between 0 and maxval .
Args:
"""Helper function to scale `val` between 0 and maxval .
Args:
level: Level of the operation that will be between [0, `PARAMETER_MAX`].
maxval: Maximum value that the operation can have. This will be scaled
to level/PARAMETER_MAX.
Returns:
Returns:
An int that results from scaling `maxval` according to `level`.
"""
#return int(level * maxval / PARAMETER_MAX)
# return (level * maxval / PARAMETER_MAX)
"""
#return int(level * maxval / PARAMETER_MAX)
# return (level * maxval / PARAMETER_MAX)
def flipLR(x):
"""Flip horizontaly/Left-Right images.