preprocess_input: Preprocess input for pre-defined imagenet networks
In kerasR: R Interface to the Keras Deep Learning Library
preprocess_input R Documentation
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 documentation built on Aug. 17, 2022, 5:06 p.m.
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| preprocess_input | R Documentation |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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