Utilities to easily convert between different bounding box formats (YOLO, XYWH, XYXY, etc.).
You can find documentation for the project at here <https://bbox-utils.readthedocs.io/en/latest/>
_.
2D Bounding Box Conversions |Colab Image Demo|
.. |Colab Image Demo| image:: https://colab.research.google.com/assets/colab-badge.svg :target: https://colab.research.google.com/drive/1NGiNhftz-hy671IHdOidkqgnaxaZ88Kn?usp=sharing
3D Bounding Box Conversions |Colab PCD Demo|
.. |Colab PCD Demo| image:: https://colab.research.google.com/assets/colab-badge.svg :target: https://colab.research.google.com/drive/1NR9fR5hWHDtNcOyp8U0nPPjeuXR_auxd?usp=sharing
You can create a 3D bounding box with either:
You can convert between the two forms and also get a triangular polygon to use for plotting triangular meshes.
The majority of the 3D Bounding Box implementation comes from the bbox PyPI package <https://github.com/varunagrawal/bbox>
_.
Visualizations
You can use bbox-utils
to visualize annotations within point clouds or images.
To use point clouds, you will need to install open3d <http://www.open3d.org/docs/release/getting_started.html>
and plotly <https://plotly.com/python/getting-started/>
with either::
pip3 install open3d plotly==4.14.3
pip install
# or
conda install -c open3d-admin open3d
conda install -c plotly plotly=4.14.3
At the time of writing this, open3d
requires Python < 3.9
To use images, you will need to install OpenCV <https://opencv.org/>
_::
pip3 install opencv-python
# or
conda install opencv -c conda-forge
This project uses pre-commit
_, please make sure to install it before making any
changes::
pip install pre-commit
cd bbox-utils
pre-commit install
It is a good idea to update the hooks to the latest version::
pre-commit autoupdate
.. _pre-commit: http://pre-commit.com/
This project has been set up using PyScaffold 4.0rc1. For details and usage information on PyScaffold see https://pyscaffold.org/.