PoomsAI: An Accuracy Auto-grader Using Bottom-up Human Pose Estimation
We used OpenPose (https://github.com/CMU-Perceptual-Computing-Lab/openpose) to generate human pose estimations from videos of athlete performances. You will need some kind of GPU if you wish to recreate the results from the data. In our case, we used AWS to run the networks provided by OpenPose.
PoomsAI Paper.pdf - 6.819 project paper
converter.py - algorithm for stopping point detection
hand_techniques.py - grading algorithm for hands
kicks.py - grading algorithm for kicks
stances.py - grading algorithm for stances
Taegeuk1.txt - Description for each stopping point
data - videos for modeling
results - processed videos