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FPT-ThaiTuan / Detect-Yoga-Poses-And-Correction-In-Real-Time-Using-Machine-Learning-Algorithms

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Compare SVM mode yoga movement classification accuracy with Linear kernel, Polynomial kernel, RBF (Radial Basis Function) kernel, LSTM with accuracy up to 98%. In addition, it also supports adjusting the practitioner's movements according to standard movements.

machine-learning computer-vision deep-learning support-vector-machines pose-estimation long-short-term-memory svc-model lsmt blazepose yoga-classfication
  • Updated Apr 6, 2024
  • Jupyter Notebook

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