VD
kcg2015/Vehicle-Detection-and-Tracking
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
556 192 +0/wk
GitHub
bayesian-filter bounding-boxes computer-vision detection hungarian-algorithm kalman-filtering keras linear-assignment-problem mobilenet-ssd object-detection occlusion single-shot-multibox-detector
Trend
0
Star & Fork Trend (25 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
kcg2015/Vehicle-Detection-and-Tracking has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Vehicle-Detection-and-Tracking | MultiNet | keras-rcnn | awesome-panoptic-segmentation |
|---|---|---|---|---|
| Stars | 556 | 556 | 556 | 557 |
| Forks | 192 | 244 | 220 | 96 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | NOASSERTION | N/A |
Capability Radar vs MultiNet
Vehicle-Detection-and-Tracking
MultiNet
Maintenance Activity 0
Last code push 2146 days ago.
Community Engagement 100
Fork-to-star ratio: 34.5%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.