#
foul
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我將實際的籃球比賽影片作為資料，以YOLOv5追蹤裁判位置，再針對籃球常見的四種犯規(阻擋、推人、拉手、進攻犯規)以mediapipe擷取身體結點，透過KNN model trainnig，最後結合完成裁判追蹤及犯規手勢辨識的系統。
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Updated
Nov 29, 2021 - Jupyter Notebook
ArbItro - Empirical Limits of Multi-Task CNN-RNN Pipelines for Football Foul Recognition
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Updated
Apr 15, 2026 - Jupyter Notebook
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