Factual package intelligence from PyPI

robustness-benchmark 0.0.2 package intelligence

Demo module for IQA/VQA Metrics Robustness Benchmark.

pip install robustness-benchmark

Current version
0.0.2
Python requirement
>=3.7
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.2 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

robustness-benchmark dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. setuptools ==59.5.0
  2. av ==10.0.0
  3. numpy ==1.19.5
  4. pandas ==1.1.5
  5. Pillow ==10.0.0
  6. scikit-image ==0.17.2
  7. scikit-learn ==1.3.0
  8. scipy ==1.4.1
  9. torchvision ==0.11.3
  10. tqdm ==4.57.0
  11. torch >=1.10.2
  12. opencv-python ==4.2.0.32

Compatibility and release files

robustness-benchmark publishes 1 wheel and 1 source archive for version 0.0.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 1 release 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 .