Factual package intelligence from PyPI

dlc2action 1.0 package intelligence

DLC2Action is a deep learning based action segmentation toolbox. It is designed to work directly on top of markerless pose estimation softwares such as DeepLabCut. It allows to train and evaluate various state-of-the-art action segmentation models on your own data.

pip install dlc2action

Current version
1.0
Python requirement
>=3.10
License
GNU Lesser General Public License v3 (LGPLv3)
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
510.8 KiB
Release history
5 releases with files
Median release cadence
321 days

dlc2action dependencies

PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tqdm
  2. torch
  3. numpy
  4. scipy
  5. pandas
  6. matplotlib
  7. editdistance
  8. optuna
  9. openpyxl
  10. plotly
  11. ruamel.yaml
  12. p_tqdm
  13. click
  14. pyinquirer
  15. pytest
  16. tables
  17. torchvision
  18. tika
  19. pdfplumber
  20. ftfy
  21. regex
  22. scikit-learn
  23. einops
  24. ipykernel
  25. opencv-python

The compact report shows 25 of 27 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

dlc2action publishes 1 wheel and 1 source archive for version 1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .