box_xyxy_to_cxcywh

Converts bounding boxes from \((x_{min}, y_{min}, x_{max}, y_{max})\) format to \((c_x, c_y, w, h)\) format.
(x1, y1) refer to top left of bounding box
(x2, y2) refer to bottom right of bounding box

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_xyxy_to_cxcywh function

<dl><dt>boxes</dt>
<dd>(Tensor[N, 4]): boxes in \((x_{min}, y_{min}, x_{max}, y_{max})\) format which will be converted.</dd></dl>

Arguments

box_xyxy_to_cxcywh — box_xyxy_to_cxcywh

<dl>

<dt>boxes</dt>
<dd>(Tensor[N, 4]): boxes in \((x_{min}, y_{min}, x_{max}, y_{max})\) format which will be converted.</dd>

</dl>

box_xyxy_to_cxcywh: box_xyxy_to_cxcywh

Description

Usage

Value

Arguments