DIODEM -- A Diverse Inertial and Optical Dataset of kinEmatic chain Motion
Project description
DIODEM -- A Diverse Inertial and Optical Dataset of KinEmatic chain Motion
This repository contains the source code of a Python Package (published on PyPI under imt-diodem) that allows for easy-access to the DIODEM dataset.
ℹ️ Installation:
You can install with
pip install imt-diodem.
ℹ️ Documentation:
You can access the Diodem Data Description here.
The dataset files are hosted on Harvard Dataverse (https://doi.org/10.7910/DVN/SGJLZA). This Python Package then downloads the required dataset files from Dataverse on-demand.
Quickstart
import diodem
# concatenates 3 motions: the motion01, motion02 and motion03
data = diodem.load_data(
exp_id = 1,
motion_start = 1,
motion_stop = 3,
resample_to_hz = 100
)
print(data.keys())
# ['seg1', 'seg2', 'seg3', 'seg4', 'seg5']
print(data['seg1'].keys())
# ['imu_rigid', 'imu_nonrigid', 'marker1', 'marker2', 'marker3', 'marker4', 'quat']
print(data['seg1']['imu_rigid'].keys())
# ['acc', 'gyr', 'mag']
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publish-to-pypi.yml on simon-bachhuber/diodem
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simon-bachhuber/diodem@a5c1bc243139d6681156b6fbf62f75a1e505a9c3 - Branch / Tag:
refs/heads/main - Owner: https://github.com/simon-bachhuber
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public
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github-hosted - Publication workflow:
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