Factual package intelligence from PyPI

wildgs-slam 1.0.7 package intelligence

WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments (CVPR 2025)

pip install wildgs-slam

Current version
1.0.7
Python requirement
>=3.9
License
MIT
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
1.9 MiB
Release history
6 releases with files
Median release cadence
0 days

wildgs-slam dependencies

PyPI declares 38 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0
  2. torchvision
  3. numpy
  4. pillow
  5. imageio
  6. joblib
  7. pandas
  8. scikit-image
  9. scikit-learn
  10. scipy
  11. ninja
  12. setuptools
  13. timm ==0.9.10
  14. plyfile >=0.8.1
  15. tqdm
  16. opencv-python
  17. munch
  18. evo
  19. open3d
  20. torchmetrics
  21. imgviz
  22. lpips
  23. rich
  24. kornia
  25. mmengine

The compact report shows 25 of 38 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

wildgs-slam publishes 0 wheels and 1 source archive for version 1.0.7. Wheel platform tags: No wheel platform tags.

Declared Python classifiers: 3.10, 3.11, 3.9.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .