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A high-performance implementation of 3D RANSAC (Random Sample Consensus) algorithm using PyTorch and CUDA.
pip install torch-ransac3d
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
torch-ransac3d publishes 1 wheel and 1 source archive for version 2.0.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 .