| Name | rigid-body-motion JSON |
| Version |
0.9.2
JSON |
| download |
| home_page | None |
| Summary | Python utilities for estimating and transforming rigid body motion. |
| upload_time | 2025-02-09 13:43:09 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
rigid_body_motion
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
.. image:: https://github.com/phausamann/rigid-body-motion/actions/workflows/build.yml/badge.svg
:target: https://github.com/phausamann/rigid-body-motion/actions/workflows/build.yml
.. image:: https://readthedocs.org/projects/rigid-body-motion/badge/?version=latest
:target: https://rigid-body-motion.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://img.shields.io/pypi/v/rigid-body-motion.svg
:target: https://pypi.python.org/pypi/rigid-body-motion
.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
:target: https://github.com/psf/black
=================
rigid-body-motion
=================
Python utilities for estimating and transforming rigid body motion.
Documentation: https://rigid-body-motion.readthedocs.io
Overview
--------
This package provides a high-level interface for transforming arrays
describing motion of rigid bodies between different coordinate systems and
reference frames. The core of the reference frame handling is a fast
re-implementation of ROS's ``tf2`` library using ``numpy`` and
``numpy-quaternion``. The package also provides first-class support for
xarray_ data types.
.. _xarray: https://xarray.pydata.org
Installation
------------
rigid-body-motion can be installed via ``pip``:
.. code-block:: console
$ pip install rigid-body-motion
or via ``conda``:
.. code-block:: console
$ conda install -c phausamann -c conda-forge rigid-body-motion
Highlights
----------
rigid-body-motion makes it possible to:
* Construct trees of static and moving reference frames
* Lookup transforms and velocities across the tree
* Seamlessly transform positions, orientations and velocities across the tree
* Estimate transforms from motion data
* Transform data into different coordinate representations
* Import data from common motion tracking systems
* Visualize reference frames and motion data with matplotlib or RViz
* ... and more!
Credits
-------
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
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