This project is about a HPC(HumanPoseClassifier) implemented by Machine Learning and Deep Learning.
This program is extended to WEB UI

- count squat,lunge,pushup
- angle Feedback
Squat: Leg angle
Pushup: Elbow anple
Lunge : Leg angle and waist angle
- MSE Feedback : compare with the expert pose (User must stand with 45 degree)
src: Main project source code
src/Posture_DeepLearning : the HPE implemented by DeepLearning(main_tf.py)
src/Posture_MachineLearning : the HPE implemented by MachineLearning(main.py)
custom: You can collect data, extract features, and also train by the custom data set
custom/Posture_CollectData : Collect custom data by cv2, extract features, and save the extracted features to .CSV
custom/Posture_Data : The extracted feature I used to train
custom/Posture_Train : You can train the data by ML and DL
