Factual package intelligence from PyPI

xn-ultralytics 1.0.3 package intelligence

This is a public fork of Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. Free for anyone to use, for non-commercial purposes.

pip install xn-ultralytics

Current version
1.0.3
Python requirement
>=3.7
License
AGPL-3.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.1 MiB
Release history
4 releases with files
Median release cadence
0 days

xn-ultralytics dependencies

PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.2.2
  2. opencv-python >=4.6.0
  3. Pillow >=7.1.2
  4. PyYAML >=5.3.1
  5. requests >=2.23.0
  6. scipy >=1.4.1
  7. torch >=1.7.0
  8. torchvision >=0.8.1
  9. tqdm >=4.64.0
  10. pandas >=1.1.4
  11. seaborn >=0.11.0
  12. psutil

Compatibility and release files

xn-ultralytics publishes 1 wheel and 1 source archive for version 1.0.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.7, 3.8, 3.9.

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 .