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This is the companion paper to the ICPR 2024 Paper “GolfPose: From Regular Posture to Golf Swing Posture”. It details our GolfSwing dataset and GolfPose model. For the GolfSwing dataset, we introduce the equipment used, data recording steps, and post-processing methods. Regarding the GolfPose models, we discuss parameters for fine-tuning both object detectors and 2D/3D pose models, along with integration methods for inference. Finally, we present metrics to evaluate the performance of 2D and 3D pose models and compare the 2D pose model with a pre-trained model.

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Implementation and Reproducibility Notes on GolfSwing Dataset and GolfPose Models

  • 会议论文

  • 发表日期：

    2026年

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  • Ming-Han Lee,
  • Yu-Chen Zhang,
  • Kun-Ru Wu,
  • Yu-Chee Tseng

摘要

This is the companion paper to the ICPR 2024 Paper “GolfPose: From Regular Posture to Golf Swing Posture”. It details our GolfSwing dataset and GolfPose model. For the GolfSwing dataset, we introduce the equipment used, data recording steps, and post-processing methods. Regarding the GolfPose models, we discuss parameters for fine-tuning both object detectors and 2D/3D pose models, along with integration methods for inference. Finally, we present metrics to evaluate the performance of 2D and 3D pose models and compare the 2D pose model with a pre-trained model.