Factual package intelligence from PyPI

segmentation-robustness-framework 0.3.1 package intelligence

Segmentation Robustness Framework - a powerful toolkit for evaluating the robustness of semantic segmentation models against adversarial attacks.

pip install segmentation-robustness-framework

Current version
0.3.1
Python requirement
<4.0,>=3.12
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
144.6 KiB
Release history
5 releases with files
Median release cadence
2 days

segmentation-robustness-framework dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib <4.0.0,>=3.10.0
  2. numpy <3.0.0,>=2.3.0
  3. pandas <3.0.0,>=2.3.1
  4. pyyaml <7.0.0,>=6.0.2
  5. torch ==2.6.0
  6. torchvision ==0.21.0
  7. tqdm <5.0.0,>=4.67.1
  8. types-pyyaml <7.0.0.0,>=6.0.12.20240917

Compatibility and release files

segmentation-robustness-framework publishes 1 wheel and 1 source archive for version 0.3.1. Wheel platform tags: any.

Declared Python classifiers: 3.12, 3.13.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

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

The project does not publish external project URLs in its PyPI metadata.