v2026.10.6

harry7557558/spirula-studiov2026.10.6Oct 6, 2026by harry7557558

Upgrading?

AI Summary

This release adds region-of-interest training, a redesigned home screen, and experimental LiDAR-based metric scale recovery with depth and normal map computation. It also improves 360-camera depth estimation, mask handling, GPS usage, and stability during training and meshing.

Key Highlights

  • Region of interest (ROI) support in training
  • Redesigned GUI home screen retaining recently opened items across formats
  • Experimental LiDAR scan support for metric scale and depth/normal maps
  • Separate masks for feature points versus training (useful for sky and texture-rich clouds)
  • Stability fixes for training divergence and occasional meshing crashes

New Features

  • Region of interest (ROI) training
  • Redesigned home screen with recent items of various formats
  • Faster depth and normal map estimation for 360 cameras
  • Separate feature-point and training masks
  • LiDAR-based metric scale recovery (experimental)
  • Warning message on known incompatible hardware and drivers
  • Mouse-wheel zooming while editing masks
  • Improved support for various input image formats and GPS-based dataset creation

Full Release Notes

Changelog
- Support region of interest (ROI) in training
- Redesigned GUI home screen to keep recently opened items of various formats
- Faster depth and normal map estimation for 360 cameras
- Support separate masks for feature points and training (useful for sky and texture-rich clouds)
- Support using LiDAR scans to recover metric scale and compute depth and normal maps
- Reduced unnecessary step reruns when updating datasets after adjusting parameters
- Improved support for various input image formats
- Improved support for utilizing GPS in dataset creation
- Addressed occasional training divergence
- Addressed occasional crashes during meshing
- Added warning message on known incompatible hardware and drivers
- Support zooming using mouse wheel when editing masks

Notes:
- This release carries difference in both training and dataset creation intended to be improvement. Please submit an issue if you notice significant regression in quality or resource usage compared to previous versions.
- LiDAR support was tested on a limited set of publicly available datasets. It is currently an experimental feature. Community feedback is welcome.

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