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Yoga Pose Classification with MoveNet on DepthAI

This demo demonstrates the classification of yoga poses.

Yoga Pose Classification

Recognizes four yoga poses :

Usage

-> python3 demo.py -h
usage: demo.py [-h] [-m {lightning,thunder}] [-i INPUT] [-o OUTPUT]

optional arguments:
  -h, --help            show this help message and exit
  -m {lightning,thunder}, --model {lightning,thunder}
                        Model to use (default=thunder
  -i INPUT, --input INPUT
                        'rgb' or 'rgb_laconic' or path to video/image file to
                        use as input (default: rgb)
  -o OUTPUT, --output OUTPUT
                        Path to output video file

CSV Folder

The fitness_poses_csvs_out_processed_f contains four csv files, each for each yoga pose. It contains information on the sample images of each class. The first column is the image name, and next there are x and y coordinates corresponding to each joint point for that image, nose, left eye, right eye and so on. It contains x and y coordinates for 17 joint keypoints.

Image credits

References