victor-explore/Spectral-Image-Segmentation-with-N-Cut-Algorithm
View on GitHub ↗Related repositories →This repository implements spectral image segmentation using the Normalized Cut (N-cut) algorithm with PyTorch and scikit-image. The implementation includes variants using both basic intensity-based similarity and Gaussian similarity incorporating spatial and color proximity.
active 2024-11-20 → 2024-11-20 (UTC)
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Line chart, 1 days from 2024-11-20 to 2024-11-20. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| victor-explore | 3 | 3 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.