remove_small_boxes

Remove boxes which contains at least one side smaller than min_size.

Provides access to datasets, models and preprocessing
facilities for deep learning with images. Integrates seamlessly
with the 'torch' package and it's 'API' borrows heavily from
'PyTorch' vision package.

Daniel Falbel

torchvision

Models, Datasets and Transformations for Images

Christophe Regouby

Akanksha Koshti

Derrick Richard

 RStudio

remove_small_boxes function

<dl><dt>boxes</dt>
<dd>(Tensor[N, 4]): boxes in \((x_{min}, y_{min}, x_{max}, y_{max})\) format
with<ul>
<li>\(0 \leq x_{min} &lt; x_{max}\) and</li>
<li>\(0 \leq y_{min} &lt; y_{max}\).</li>
</ul></dd>
<dt>min_size</dt>
<dd>(float): minimum size</dd></dl>

Arguments

Remove Small Boxes — remove_small_boxes

<dl>

<dt>boxes</dt>
<dd>(Tensor[N, 4]): boxes in \((x_{min}, y_{min}, x_{max}, y_{max})\) format
with<ul>
<li>\(0 \leq x_{min} &lt; x_{max}\) and</li>
<li>\(0 \leq y_{min} &lt; y_{max}\).</li>
</ul></dd>


<dt>min_size</dt>
<dd>(float): minimum size</dd>

</dl>

remove_small_boxes: Remove Small Boxes

Description

Usage

Value

Arguments