imagenet_preprocess_input: Preprocesses a tensor or array encoding a batch of images.

Description Usage Arguments Value

View source: R/applications.R

Description

Preprocesses a tensor or array encoding a batch of images.

Usage

1
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.


keras documentation built on Oct. 9, 2019, 1:04 a.m.