Python utilities for estimating and transforming rigid body motion.
Project description
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.
Installation
rigid-body-motion can be installed via pip:
$ pip install rigid-body-motion
or via conda:
$ 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.
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