SI
foolwood/SiamMask
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
3.5k 809 +0/wk
GitHub
computer-vision cvpr2019 deep-learning object-tracking pytorch read-time video-object-segmentation visual-tracking
Trend
0
Star & Fork Trend (30 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
foolwood/SiamMask has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | SiamMask | LSTM-Human-Activity-Recognition | ml-workspace | Awesome-Quant-Machine-Learning-Trading |
|---|---|---|---|---|
| Stars | 3.5k | 3.5k | 3.5k | 3.6k |
| Forks | 809 | 936 | 456 | 633 |
| Weekly Growth | +0 | -1 | +0 | +4 |
| Language | Python | Jupyter Notebook | Jupyter Notebook | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | N/A |
Capability Radar vs LSTM-Human-Activity-Recognition
SiamMask
LSTM-Human-Activity-Recognition
Maintenance Activity 0
Last code push 419 days ago.
Community Engagement 100
Fork-to-star ratio: 22.8%. 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.