Factual package intelligence from PyPI
GPU/CUDA optimized implementation of 3D optical flow algorithms such as Farneback two frame motion estimation and Lucas Kanade dense optical flow algorithms
pip install opticalflow3d
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.17.0>=0.47.0>=0.17.1>=1.6.3>=4.50.0>=10.0.0opticalflow3d publishes 1 wheel and 1 source archive for version 0.3.2. Wheel platform tags: any.
Declared Python classifiers: 3.7, 3.8, 3.9.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .