Show HN: I made a 3D rock climbing analysis tool using iPhone LiDAR [video]

Category: ai-ml

Tags: computer-vision, pose-estimation, 3d-reconstruction, sports-analysis, lidar

Score: 6.0/10 (Innovation: 7, Technical: 7, Documentation: 5, Utility: 5)

A collection of computer vision demos for sports analysis, including a 3D rock climbing tool that uses iPhone LiDAR depth data to reconstruct climbing walls, segment holds, track climber poses, and measure routes in meters. The project combines pose estimation (ViTPose) and segmentation (SAM) models to provide quantitative feedback on climbing technique and route difficulty.

Target audience: AI/ML engineers, computer vision enthusiasts, sports analytics developers, climbers

Repository: https://www.youtube.com/watch?v=vjItC11jF0o · Python · Apache-2.0 · 857 stars

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