imagenet_preprocess_input

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Preprocesses a tensor or array encoding a batch of images.

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.

Aliases
  • imagenet_preprocess_input
Documentation reproduced from package keras, version 2.3.0.0, License: MIT + file LICENSE

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