Training Visualizer

The Omniverse Kaolin Training Visualizer extension allows interactive visualization of 3D checkpoints exported using Kaolin Library. By scrubbing through iterations, one can see the progression of training over time, and visualize multiple textures and labels that may be predicted for each 3D model. The 3D checkpoints can include meshes, point clouds and voxel grids in any number of categories, with multiple textures and labels supported for meshes. The extension also allows creating and saving custom layouts for visualizing results consistently across experiments.

Interface

Ref #	Option	Result
1	Training Directory	Loads checkpoints produced with the Kaolin Library’s timelapse feature from the selected directory.
2	Iteration	Sets scene to selected iteration number.
3	Saved Layouts	Load a previously saved layout.
4	Save Current Layout	Save the current layout. Saves the loaded categories and all applied transformations.
5	Select Categories	Loads the selected categories onto the scene.
6	Grid Spacing Factor	Reduces/Increases the spacing between assets.
7	Rotate	Rotates assets, in degrees.
8	Texture Mode	Selects from saved checkpoint textures.
9	Demo	Opens a browser window to this documentation.