def preprocess_input(x, data_format=None):
"""Preprocesses a tensor encoding a batch of images.
# Arguments
x: input Numpy tensor, 4D.
data_format: data format of the image tensor.
# Returns
Preprocessed tensor.
"""
x = _preprocess_input(x, data_format=data_format)
x *= 0.017 # scale values
return x
def preprocess_input(x, data_format=None):
"""Preprocesses a tensor encoding a batch of images.
# Arguments
x: input Numpy tensor, 4D.
data_format: data format of the image tensor.
# Returns
Preprocessed tensor.
"""
x = _preprocess_input(x, data_format=data_format)
x *= 0.017 # scale values
return x
def preprocess_input(x, **kwargs):
return _preprocess_input(x, mode='torch', **kwargs)
def preprocess_input(x, **kwargs):
kwargs = {k: v for k, v in kwargs.items() if k in ['backend', 'layers', 'models', 'utils']}
return _preprocess_input(x, mode='torch', **kwargs)