box_iou

Return intersection-over-union (Jaccard index) of boxes.
Both sets of boxes are expected to be in \((x_{min}, y_{min}, x_{max}, y_{max})\) format with
\(0 \leq x_{min} &lt; x_{max}\) and \(0 \leq y_{min} &lt; y_{max}\).

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_iou function

<dl><dt>boxes1</dt>
<dd>(Tensor[N, 4])</dd>
<dt>boxes2</dt>
<dd>(Tensor[M, 4])</dd></dl>

Arguments

Box IoU — box_iou

<dl>

<dt>boxes1</dt>
<dd>(Tensor[N, 4])</dd>


<dt>boxes2</dt>
<dd>(Tensor[M, 4])</dd>

</dl>

box_iou: Box IoU

Description

Usage

Value

Arguments