This project comprise of three python scripts namely,
Data Collection
Data Training
And finally Inference script.
As all of the name suggest do there respective work.
For this project I used mediapipe pose detection to detect the human body pose and after that I made model with simple Dense network using keras and trained the model on the data. After that i just ran the inference file to do the prediction.
pip install mediapipe
pip install keras
pip install tensorflow
pip install opencv-python
pip install numpy
To add data you have to run python data_collection.py and have to provide the name of asana you want to add. To train just run python data_training.py to train the model on newly added data. To Run just run python inference.py and new window will pop up which will be running the predictions. video link : https://youtu.be/sIRqrwZnuHE
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