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)