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
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Updated
May 18, 2024 - Python