load_img

Load image from a file as PIL object

Provides a consistent interface to the 'Keras' Deep Learning Library
directly from within R. 'Keras' provides specifications for describing dense
neural networks, convolution neural networks (CNN) and recurrent neural networks
(RNN) running on top of either 'TensorFlow' or 'Theano'. Type conversions between
Python and R are automatically handled correctly, even when the default
choices would otherwise lead to errors. Includes complete R documentation
and many working examples.

Taylor Arnold

kerasR

R Interface to the Keras Deep Learning Library

Andrie de Vries

load_img function

<dl><dt>path</dt>
<dd>Path to image file</dd>
<dt>grayscale</dt>
<dd>Boolean, whether to load the image as grayscale.</dd>
<dt>target_size</dt>
<dd>If NULL, the default, loads the image in its native
resolution. Otherwise, set this to a vector giving
desired (img_height, img_width).</dd></dl>

Arguments

Taylor B. Arnold, <a href="/link/taylor.arnold%40acm.org?package=kerasR&version=0.8.1" data-mini-rdoc="kerasR::taylor.arnold@acm.org">taylor.arnold@acm.org</a>

Author

Load image from a file as PIL object — load_img

<dl>

<dt>path</dt>
<dd>Path to image file</dd>


<dt>grayscale</dt>
<dd>Boolean, whether to load the image as grayscale.</dd>


<dt>target_size</dt>
<dd>If NULL, the default, loads the image in its native
resolution. Otherwise, set this to a vector giving
desired (img_height, img_width).</dd>

</dl>

Taylor B. Arnold, <a href='mailto:taylor.arnold@acm.org'>taylor.arnold@acm.org</a>

load_img: Load image from a file as PIL object

Description

Usage

Arguments

Author

References

See Also