by Open-source Python pipeline for markerless 2D motion capture and kinematics from a single camera or webcam: 2D pose estimation, clean-up, pixel to meter conversion, and OpenSim inverse kinematics. Used for biomechanics, sports science, and clinical research.
Evidence of impact: published in the Journal of Open Source Software and in peer-reviewed validation papers; used in academic research (see Google Scholar citations); active Discord community of about 200 members who help each other and share their work. All processing runs locally, which makes it compatible with GDPR constraints that cloud-based alternatives struggle with.
Users: researchers, clinicians, sports coaches.
Evidence of impact: published in the Journal of Open Source Software and in peer-reviewed validation papers; used in academic research (see Google Scholar citations); active Discord community of about 200 members who help each other and share their work. All processing runs locally, which makes it compatible with GDPR constraints that cloud-based alternatives struggle with.
Users: researchers, clinicians, sports coaches.
davidpagnon.github.io/Sports2D
github.com/davidpagnon/Sports2DTue, 03 Nov 2026 16:25:25 UTC
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Crawl errorerror: https://github.com/perfanalytics/pose2sim/blob/main/funding.json?raw=true returned 429