Skip to main content

RING: Recurrent Inertial Graph-based Estimator

Project description

Recurrent Inertial Graph-based Estimator (RING)

Installation

Supports Python=3.10/3.11/3.12 (tested).

Install with pip using

pip install imt-ring

Typically, this will install jax as cpu-only version. Afterwards, gpu-enabled version can be installed with

pip install --upgrade "jax[cuda12_pip]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html

Documentation

Available here.

Quickstart Example

import ring
import numpy as np

T  : int       = 30        # sequence length     [s]
Ts : float     = 0.01      # sampling interval   [s]
B  : int       = 1         # batch size
lam: list[int] = [0, 1, 2] # parent array
N  : int       = len(lam)  # number of bodies
T_i: int       = int(T/Ts) # number of timesteps

X              = np.zeros((B, T_i, N, 9))
# where X is structured as follows:
# X[..., :3]   = acc
# X[..., 3:6]  = gyr
# X[..., 6:9]  = jointaxis

# let's assume we have an IMU on each outer segment of the
# three-segment kinematic chain
X[..., 0, :3]  = acc_segment1
X[..., 2, :3]  = acc_segment3
X[..., 0, 3:6] = gyr_segment1
X[..., 2, 3:6] = gyr_segment3

ringnet = ring.RING(lam, Ts)
yhat, _ = ringnet.apply(X)
# yhat: unit quaternions, shape = (B, T_i, N, 4)

Known fixes

Offscreen rendering with Mujoco

mujoco.FatalError: an OpenGL platform library has not been loaded into this process, this most likely means that a valid OpenGL context has not been created before mjr_makeContext was called

Solution:

import os
os.environ["MUJOCO_GL"] = "egl"

Publications

The following publications utilize this software library, and refer to it as the Random Chain Motion Generator (RCMG) (more specifically the function ring.RCMG):

Other useful ressources

Particularly useful is the following publication from Roy Featherstone

Contact

Simon Bachhuber (simon.bachhuber@fau.de)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

imt_ring-1.6.9.tar.gz (17.5 MB view details)

Uploaded Source

Built Distribution

imt_ring-1.6.9-py3-none-any.whl (17.5 MB view details)

Uploaded Python 3

File details

Details for the file imt_ring-1.6.9.tar.gz.

File metadata

  • Download URL: imt_ring-1.6.9.tar.gz
  • Upload date:
  • Size: 17.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for imt_ring-1.6.9.tar.gz
Algorithm Hash digest
SHA256 b7560cb1c9303c74c5ee2c3f874da3982fd14f7965647c649a59d8d73cd69f5f
MD5 587bd870a50038de79b79bda67f8ed28
BLAKE2b-256 cb390fede07383c5dcfae1c0ba66b8bdb379c6048402495dbb671903fb5fe2a9

See more details on using hashes here.

File details

Details for the file imt_ring-1.6.9-py3-none-any.whl.

File metadata

  • Download URL: imt_ring-1.6.9-py3-none-any.whl
  • Upload date:
  • Size: 17.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for imt_ring-1.6.9-py3-none-any.whl
Algorithm Hash digest
SHA256 d0e8920654f80742306adb61bacab98567b5da7ed7f922afe552fadf80b7be52
MD5 9f0c7319a777a9f6a094bce4bfaf8f91
BLAKE2b-256 57bf39faa2df9e5be3ae890ac7e7b9fed041472d06e719f0862525da1d699dda

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page