The 'fastai' <https://docs.fast.ai/index.html> library
simplifies training fast and accurate neural networks
using modern best practices. It is based on research
in to deep learning best practices undertaken
at 'fast.ai', including 'out of the box' support
for vision, text, tabular, audio, time series, and
collaborative filtering models.

Interface to 'fastai'

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7

<p>Creates a 'Dataset' from a list of images.
</p>

icevision_Dataset_from_images(images, tfm = NULL, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>images</code></td>
<td>
<p>'Sequence' of images in memory (numpy arrays).</p>
</td>
</tr>
<tr valign="top">
<td><code>tfm</code></td>
<td>
<p>Transforms to be applied to each item.</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>additional arguments</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#icevision_Dataset_from_images

icevision_Dataset_from_images

Description

Usage

Arguments

Value

fastai

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`images`	'Sequence' of images in memory (numpy arrays).
`tfm`	Transforms to be applied to each item.
`...`	additional arguments