Factual package intelligence from PyPI

torch-jpeg-blockiness 1.0.4 package intelligence

The higher the blockiness metric value, the more likely it is that the image was JPEG-compressed at a low quality. Re-implementation of blockiness from "Rethinking Image Super-Resolution from Training Data Perspectives"

pip install torch-jpeg-blockiness

Current version
1.0.4
Python requirement
>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
5.4 MiB
Release history
4 releases with files
Median release cadence
0 days

torch-jpeg-blockiness dependencies

PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch ==2.6.*
  2. numpy ==2.2.*

Compatibility and release files

torch-jpeg-blockiness publishes 1 wheel and 1 source archive for version 1.0.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .