DR
HichTala/draw2
DRAW 2 (Detect and Recognize A Wide range of cards) Object detector trained to detect Yu-Gi-Oh! cards in all types of images, and in particular in dueling images.
65 3 +1/wk
GitHub
deep-learning object-detection yu-gi-oh
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
HichTala/draw2 has +1 stars this period . 7-day velocity: 1.6%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | draw2 | Collaborative-Perception-in-Autonomous-Driving | turkey | splunk-mltk-container-docker |
|---|---|---|---|---|
| Stars | 65 | 65 | 66 | 64 |
| Forks | 3 | 3 | 13 | 36 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | N/A | HTML | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | AGPL-3.0 | N/A | MIT | Apache-2.0 |
Capability Radar vs Collaborative-Perception-in-Autonomous-Driving
draw2
Collaborative-Perception-in-Autonomous-Driving
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 69
Fork-to-star ratio: 4.6%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 100
+1 stars this period — 1.54% growth rate.
License Clarity 70
Licensed under AGPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.