kerasR: preprocess_input – R documentation

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preprocess_input

Preprocess input for pre-defined imagenet networks

Description

These assume you have already converted images into a three channel, 224 by 224 matrix with load_img and img_to_array. The processing differs based on the model so set the appropriate model that you are using.

Usage

preprocess_input(img, model = c("Xception", "VGG16", "VGG19", "ResNet50",
  "InceptionV3"))

Arguments

`img`	the input image, as an array
`model`	the model you wish to preprocess to

Author(s)

Taylor B. Arnold, taylor.arnold@acm.org

References

Chollet, Francois. 2015. Keras: Deep Learning library for Theano and TensorFlow.

kerasR

R Interface to the Keras Deep Learning Library

v0.6.1

LGPL-2

Authors

Taylor Arnold [aut, cre]

Initial release