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PosePipe is a human pose estimation (HPE) pipeline to facilitate home movement analysis from videos

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PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research

ERD

PosePipe is a human pose estimation (HPE) pipeline to facilitate home movement analysis from videos. It uses DataJoint to manage the interdependencies between algorithms and for data management of the videos and the intermediate outputs. If has wrappers to numerous cutting edge HPE algorithms and output visualizations, which makes it easy to analyze videos differently and determine the best algorithms to use.

Getting Started

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VSCode is recommended. The following can be included in your settings.json to specify black formatting settings.

{
    "python.formatting.blackArgs": [
        "--line-length=120",
        "--include='*py'",
        "--exclude='*ipynb'",
        "--extend-exclude='.env'",
        "--extend-exclude='3rdparty/*'"
    ],
    "editor.rulers": [
        120
    ]
}

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PosePipe is a human pose estimation (HPE) pipeline to facilitate home movement analysis from videos

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  • Python 95.6%
  • Jupyter Notebook 3.8%
  • Other 0.6%