SoftwareApplication
name: det2d-read
description: Python package to read 2D human poses from json files
description: 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.
code repository: https://data.4tu.nl/v3/datasets/2e7f333d-f828-4c78-a47d-26ae7d162e08.git
author: https://orcid.org/0000-0002-3202-9401
keywords: Pose detection/tracklet conversion
keywords: Data loading
keywords: Multiprocessing
keywords: 2D pose detection
programming language: JSON
programming language: Markdown
programming language: Other
programming language: Python
programming language: YAML
license:
  creative work: creativeWork
    name: MIT
reference publication: j.medengphy.2025.104289

https://orcid.org/0000-0002-3202-9401
type: Person
given name: Rick
family name: Butler
name: Rick Butler

j.medengphy.2025.104289
type: ScholarlyArticle
name: Benchmarking 2D human pose estimators and trackers for workflow analysis in the cardiac catheterization laboratory
pagination: 104289
url: https://doi.org/10.1016%2Fj.medengphy.2025.104289