Project 

C4093

June 1, 2024

This project utilises computer vision and human pose estimation to deliver approximate details about certain movements and positions when observing a boulderer.

Pythoncapstone-projectcomputer-visioncvpose-detectionpose-estimation

C4093 is the name of the repository the contains code for my undergrad research thesis project. Its called 'C4093' because it's named after the actual thesis unit name "COMP4093" and I have no creativity 😅.

The project explored the use of some ai computer vision technologies in sports climbing. In the project, uploaded footage of a climber is analysed, resulting in a visual representation of the climbers limbs and center of mass as well as some vague stats that are delivered.

It was a learning experience and if I were to do it again i'd definitely put more effort into structuring the code better, making a user interface, and just being clear about what each delivered 'stat' is meant to represent.

I don't recommend the use of this code, and am honestly not particularly proud of it. However, I plan to make another (or revamp this) project using the same technologies in the future.

Lemswell/C4093/README.md


C4093

Make sure you install required libraries in the your python environment. You can do this with the command pip install opencv-python mediapipe numpy csv on your terminal


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