imagenet_preprocess_input: Preprocesses a tensor or array encoding a batch of images.
In dfalbel/keras: R Interface to 'Keras'

Preprocesses a tensor or array encoding a batch of images.

1	imagenet_preprocess_input(x, data_format = NULL, mode = "caffe")

x

Input Numpy or symbolic tensor, 3D or 4D.

data_format

Data format of the image tensor/array.

mode

One of "caffe", "tf", or "torch"

caffe: will convert the images from RGB to BGR, then will zero-center each color channel with respect to the ImageNet dataset, without scaling.
tf: will scale pixels between -1 and 1, sample-wise.
torch: will scale pixels between 0 and 1 and then will normalize each channel with respect to the ImageNet dataset.

Preprocessed tensor or array.

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.