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Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
pip install ultralytics-rknn
PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.2.2>=1.22.2>=4.6.0>=7.1.2>=5.3.1>=2.23.0>=1.4.1==2.1.0==0.16.0>=4.64.0==1.14.1>=1.1.4The compact report shows 12 of 27 declarations. The interactive dependency graph loads the complete metadata.
ultralytics-rknn publishes 1 wheel and 1 source archive for version 12.0.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.
PyPI lists 17 releases with files. The first dated release is ; 17 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .