hannalaguilar / yoga-classifier

Yoga pose classification model based on pose estimation (BlazePose 3D)

Yoga Classifier

Yoga has become increasingly popular over the years, providing many health benefits. In our project, we aim to create a Multilayer Perceptron model that can identify yoga poses. We use BlazePose 3D to identify the keypoints and calculate the normalized distances. Our testing accuracy is 100%, a very good result. Our recommendation for future work is to use a dataset with a higher variety of poses and return feedback about the performed exercises.

The report is in the report folder.

Dataset

How tu run the code

Create an environment and activate it:

conda create --name ci-yoga python=3.9
conda activate ci-yoga
pip install -r requirements.txt

The main code is in the yoga folder:

• To process data yoga/process_data:
  • make_dataset.py: to transform images into datasets of key points
• Models yoga/models:
  • build_features.py : to transform the pose keypoints dataset into final_dataset.csv
  • train_model.py: train three classifiers and save performance information in test_sats.csv
  • analysis.py: useful plots to compare the models