Python package to read 2D human poses from json files
DOI:10.4121/97d8618d-d456-4c13-9a6c-637217643fdb.v1
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DOI: 10.4121/97d8618d-d456-4c13-9a6c-637217643fdb
DOI: 10.4121/97d8618d-d456-4c13-9a6c-637217643fdb
Datacite citation style
Butler, Rick (2025): Python package to read 2D human poses from json files. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/97d8618d-d456-4c13-9a6c-637217643fdb.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
by
Rick Butler
About 200 coronary angiogram procedures were recorded from a distance in the Reinier de Graaf hospital, Delft, NL.
Human pose data were extracted from these videos and saved.
As the dataset is large, a tool was needed to read the pose data for usage.
This Python package reads poses from .det2d.json files, and converts between detection and tracklet formats.
For large datasets, it offers functions to read pose data one file at a time such that the entire dataset need not be loaded into memory.
It uses multiprocessing to buffer poses in memory for faster access.
History
- 2025-04-29 first online, published, posted
Publisher
4TU.ResearchDataFormat
Python/.py, settings/.json, data/.det2d.json, synchronisation/.vipr.json, packaging/.toml, documentation/.md, requirements/.txtAssociated peer-reviewed publication
Benchmarking 2D human pose estimators and trackers for workflow analysis in the cardiac catheterization laboratoryCode hosting project url
https://gitlab.tudelft.nl/medical-process-engineering/det2d-read.gitOrganizations
TU Delft, Faculty of Mechanical Engineering, Department of Biomechanical Engineering, Medical Process EngineeringTo access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/2e7f333d-f828-4c78-a47d-26ae7d162e08.git "det2d-read"
