mkurc1/climbingcrux_model
The climbing crux model is a machine-learning project that aims to recognize climbing holds and the distance between them from a photo and suggest routes that fit the user's climbing level.
This helps climbers and gym setters create personalized climbing routes. You provide a photo of a climbing wall, and it identifies the holds and their distances. Then, based on your climbing level, it suggests routes. This tool is for anyone involved in setting or exploring new climbing challenges.
No commits in the last 6 months.
Use this if you want to automatically identify climbing holds and generate customized routes from a photo of a climbing wall.
Not ideal if you're looking for a fully-fledged climbing route management system with social features or real-time tracking.
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33
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 08, 2024
Commits (30d)
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