Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification
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Updated
Apr 15, 2025 - 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.
Machine learning-assisted optimisation of shuttlecock porosity using Gaussian Process Regression and Bayesian optimisation
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.
App for tracking your badminton club matches, scores, player ratings
National Winners for Adobe Gensolve 2024
A list of badminton video analysis, match analysis, datasets, and video clipping projects.
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