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GitHub / seung-lab / kimimaro

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seung-lab%2Fkimimaro

Stars: 125
Forks: 21
Open Issues: 13

License: gpl-3.0
Language: C++
Repo Size: 11.1 MB
Dependencies: 28

Created: over 5 years ago
Updated: 7 days ago
Last pushed: 7 days ago
Last synced: 7 days ago

Commit Stats

Commits: 198
Authors: 2
Mean commits per author: 99.0
Development Distribution Score: 0.01
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/seung-lab/kimimaro

Topics: biomedical-image-processing, centerline, centerline-extraction, computer-vision-algorithms, connectomics, cross-section, cross-section-area, image-segmentation, medial-axis-transform, python, python2, python3, skeletonization, skeletons, teasar, volumetric-data, voxel

Files
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    Readme
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    Dependencies
    .github/workflows/build_wheel.yml actions
    requirements.txt pypi
    setup.py pypi