Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification
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Updated
Sep 3, 2026 - Python
Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification
Real‑time badminton analytics using YOLOv8‑Pose - skeleton overlay, player stats and trajectory visualisation with OpenCV & MoviePy.
A list of badminton video analysis, match analysis, datasets, and video clipping projects.
Machine learning-assisted optimisation of shuttlecock porosity using Gaussian Process Regression and Bayesian optimisation
End-to-end badminton match analysis pipeline — YOLOv8 player tracking, TrackNet shuttlecock trajectory, shot classification, court homography, and an interactive analytics dashboard.
App for tracking your badminton club matches, scores, player ratings
National Winners for Adobe Gensolve 2024
Modern badminton tournament management platform with rankings, player profiles, flexible tournament formats, and mobile-first community-focused experience built using Next.js, Prisma, and PostgreSQL.
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