EaseYoga (Machine Learning)

A machine learning models with neural network architecture and TensorFlow lite as the model format. The dataset used is broken down into training, validation, and testing. The image dataset will be processed using MoveNet as a data augmentation tool to obtain landmark coordinates, and then the data will be processed using input reshaping and data normalization. The training model uses the keras.Sequential method where the model results will be exported in .tflite format.

Table of Contents

• Machine-Learning
• Table of Contents
• Installation
• Necessary Libraries

Installation

This is where your installation instructions go. You can add snippets here that your readers can copy-paste with click:

git clone https://github.com/CH2-PS254/Model-ML

After you clone, you can run the main.py :

python main.py

Make sure that Python and all the required libraries are installed

Necessary Libraries

This machine learning model requires the following Python libraries installed:

• enum
• typing
• matplotlib
• os
• cv2
• tqdm
• pandas
• scikit-learn
• tensorflow
• wget

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