R package for LiDAR point-cloud processing and deep-learning inference for 3D fuel mapping.
v0.1.0
v0.1.0
- Initial release of FuelDeep3D.
- Added plot_las_3d() for interactive 3D LAS visualization with elevation color ramps.
- Supports custom palettes, fixed zlim, optional coordinate centering, and point sizing controls.
- Includes optional compact legend with readable labels across light/dark backgrounds.
- Adds optional subsampling for large point clouds (max_points) to improve performance.
- Skips interactive visualization during R CMD check and handles missing optional dependencies gracefully.
- Documentation and examples added for key plotting workflows.
5 months ago
Download
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Links
- Source: https://github.com/venkatasivanaga/FuelDeep3D
- JSON API: repos.ecosyste.ms
-
PURL:
pkg:github/venkatasivanaga/FuelDeep3D
Repository Details
- Stars 20
- Forks 5
- Open issues 0
- License other
- Language R
- Size 125 MB
- Created at 8 months ago
- Updated at 4 months ago
- Pushed at 4 months ago
- Last synced at 5 days ago
- Dependencies parsed at Pending
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