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Show HN: 3D to 2D, point clouds flattening (geometry images)

Quality: 8/10 Relevance: 9/10

Summary

flatpoints applies geometry images to point clouds: each 3D point maps to a 2D pixel, producing a square pixel grid that preserves neighborhood relationships. The project supports building 2D representations of 3D data for CNNs, with optional compression and visualization tools, and includes quickstart and examples (bunny, dragon, elephant). It cites foundational geometry-image work and provides MIT-licensed code.

🚀 Service construit par Johan Denoyer