PY
lucasb-eyer/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
2.0k 425 +0/wk
GitHub
computer-vision crf cython eigen machine-learning pairwise-potentials unary-potentials
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Star & Fork Trend (17 data points)
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lucasb-eyer/pydensecrf has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | pydensecrf | theseus | EvalAI | intel-extension-for-pytorch |
|---|---|---|---|---|
| Stars | 2.0k | 2.0k | 2.0k | 2.0k |
| Forks | 425 | 146 | 987 | 314 |
| Weekly Growth | +0 | +0 | +0 | -1 |
| Language | C++ | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | NOASSERTION | Apache-2.0 |
Capability Radar vs theseus
pydensecrf
theseus
Maintenance Activity 0
Last code push 765 days ago.
Community Engagement 100
Fork-to-star ratio: 21.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.