It is a CMU based approach to Yoga Pose Correction in CVPR technology

Followed https://github.com/ZheC/tf-pose-estimation and did changes respectively as per the requirements.

• Improving accuracy of the algorithm. The algorithm fails when the background blends into the picture.
• Algorithm used here is openpose mobilenet thin architecture, however larger more precise models can be used.
• With high power GPUs, the keypoint detection can be done in real-time and instructions can be provided on the go.

Most exercises only work if they are done correctly, i.e in good form. This is why people insist on having personal trainers. However, during the COVID-19 pandemic most gyms were closed and exercises were done at home. This project is a very practical solution to analyse how a person exercises and is he/she doing it right.