Add LiDAR point cloud support via OptiX sphere primitives#59
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brendancol merged 2 commits intomasterfrom Feb 27, 2026
Merged
Add LiDAR point cloud support via OptiX sphere primitives#59brendancol merged 2 commits intomasterfrom
brendancol merged 2 commits intomasterfrom
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Sphere primitives (point clouds) now serialize to/from zarr alongside triangle meshes and curves. place_pointcloud(s) stores baked data in _baked_meshes, save_meshes writes type:"sphere" groups with centers/ radii/colors arrays, and load_meshes reconstructs sphere GAS entries. nyc_lidar.py skips LAZ decompression on subsequent runs via zarr cache.
- Move wind particle splatting from CPU (np.add.at ~5ms) to GPU via Numba CUDA kernel with cuda.atomic.add (~0.1ms). Handle NaN terrain for ocean pixels so wind displays over water. - Fix DOF (key 9) requiring AO to be enabled — decouple progressive accumulation from AO so DOF works independently or alongside AO. - Add interactive point cloud color mode cycling (Shift+C) through elevation/intensity/classification/rgb. Store point cloud attributes on accessor for runtime recoloring via build_colors(). - Fix nyc_lidar.py paths to resolve relative to __file__ so it runs from any working directory.
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Summary
place_pointclouds()with process pool for multi-tile scenesexamples/nyc_lidar.py) with USGS 3DEP dataTest plan
examples/nyc_lidar.py— first run loads LAZ tiles, places spheres, saves to zarrsave_meshes/load_meshesround-trip preserves sphere centers, radii, and per-point colorsplace_pointcloudwith single file and various color modes