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

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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FPT-ThaiTuan%2FDetect-Yoga-Poses-And-Correction-In-Real-Time-Using-Machine-Learning-Algorithms

Topics: blazepose, computer-vision, deep-learning, long-short-term-memory, lsmt, machine-learning, pose-estimation, support-vector-machines, svc-model, yoga-classfication

• Files
• Readme
• Dependencies