imagenet_preprocess_input {keras} | R Documentation |
Description
Preprocesses a tensor or array encoding a batch of images.
Usage
imagenet_preprocess_input(x, data_format = NULL, mode = "caffe")
Arguments
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.
|
Value
Preprocessed tensor or array.
[Package
keras version 2.15.0
Index]