Factual package intelligence from PyPI

trajectron 0.1.3 package intelligence

A unofficial library for the Trajectron++ method, proposed by Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, and Marco Pavone in the entitled paper Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data.

pip install trajectron

Current version
0.1.3
Python requirement
>=3.6
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
8.9 MiB
Release history
3 releases with files
Median release cadence
0 days

trajectron dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib
  2. numpy ==1.16.4
  3. pandas ==0.25.1
  4. scipy ==1.3.1
  5. seaborn ==0.9.0
  6. tensorboard ==1.14.0
  7. tensorboardX ==1.8
  8. tensorflow ==1.14.0
  9. tensorflow-estimator ==1.14.0
  10. torch ==1.4.0
  11. pyquaternion ==0.9.5
  12. pytest ==5.3.0
  13. orjson ==2.1.4
  14. ncls ==0.0.51
  15. dill ==0.3.1.1
  16. tqdm ==4.45.0
  17. notebook ==6.0.3
  18. scikit-learn ==0.22.1
  19. opencv-python ==4.1.1.26
  20. nuscenes-devkit ==1.0.6

Compatibility and release files

trajectron publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .