box_area

Computes the area of a set of bounding boxes, which are specified by its
\((x_{min}, y_{min}, x_{max}, y_{max})\) coordinates.

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

box_area function

<dl><dt>boxes</dt>
<dd>(Tensor[N, 4]): boxes for which the area will be computed. They
are expected to be 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></dl>

Arguments

Box Area — box_area

<dl>

<dt>boxes</dt>
<dd>(Tensor[N, 4]): boxes for which the area will be computed. They
are expected to be 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>

</dl>

box_area: Box Area

Description

Usage

Value

Arguments