Skip to content

Algorithms for perceptually grounded evaluation of scientific visualizations, using neural reconstruction and embedding models to quantify clarity and interpretability.

Notifications You must be signed in to change notification settings

lanl/model-of-perception

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

NeRF Visualization and Analysis

This repository contains code for Neural Radiance Fields (NeRF) visualization and analysis, including Cinema database generation, reconstruction scripts, and various plotting utilities.

Copyright and Licensing

O# Reference: O5029

This software is provided for copyright assertion confirmation as referenced by O5029.

Components

  • NeRF IMDB: Tools for creating Cinema databases from NeRF data
  • Reconstruction: Scripts for 3D reconstruction from NeRF models
  • Visualization: Various plotting and visualization utilities
  • Cinema Integration: PyCinema and Synema integration for interactive visualization

Key Scripts

  • reconstruct.py - Main reconstruction script
  • plotL2.py - L2 error plotting and analysis
  • align.py - Data alignment utilities
  • viewScalar.py, viewer.py - Visualization tools

Dependencies

  • NumPy
  • Matplotlib
  • SciPy
  • PyVista
  • VTK
  • PyTorch

About

Algorithms for perceptually grounded evaluation of scientific visualizations, using neural reconstruction and embedding models to quantify clarity and interpretability.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages