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@rwmutel rwmutel released this 19 Apr 14:27
· 4 commits to main since this release
1.0.0
9c5f0c0

Release of All Planned Features

Added

  • MuSHRoom colmap cameras parsing
  • Point cloud statistical denoising and optional random downsampling to fixed size
  • Batch experiment runner script that integrated point cloud reconstruction and 3D Gaussian Splatting training into a single scene-wise experiment (and single corresponding Weights&Biases run) is now live, tested, and documented

Fixed

  • reconstruction.skip_n is now a child-parameter of reconstruction and if it is > 1, unneded images, depth maps and cameras won't be loaded into RAM, meaning that less compute resources are used at initialization
  • ARKit intrinsic matrices are parsed well now
  • reconstruction.parameters.voxel_downsample_size is not ignored anymore
  • Error handling is more versatile now

image
Figure 1. Example of WandB log for several launches of batch runner script

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