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

Blur the input image using a Gaussian filter with a random kernel size.

icevision_GaussianBlur(
  blur_limit = list(3, 7),
  sigma_limit = 0,
  always_apply = FALSE,
  p = 0.5
)

<table summary="R argblock">
<tr valign="top">
<td><code>blur_limit</code></td>
<td>
blur_limit
</td>
</tr>
<tr valign="top">
<td><code>sigma_limit</code></td>
<td>
sigma_limit
</td>
</tr>
<tr valign="top">
<td><code>always_apply</code></td>
<td>
always_apply
</td>
</tr>
<tr valign="top">
<td><code>p</code></td>
<td>
p
</td>
</tr>
</table>

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

`blur_limit`	blur_limit
`sigma_limit`	sigma_limit
`always_apply`	always_apply
`p`	p

icevision_GaussianBlur

Description

Usage

Arguments

Value

Targets

Image types

fastai

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