CommissarMa/Crowd_counting_from_scratch
This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.
Star & Fork Trend (17 data points)
Multi-Source Signals
Growth Velocity
CommissarMa/Crowd_counting_from_scratch has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Crowd_counting_from_scratch | rse-grand-challenge | remo-python | lacmus |
|---|---|---|---|---|
| Stars | 187 | 187 | 187 | 186 |
| Forks | 43 | 59 | 25 | 29 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | NOASSERTION | GPL-3.0 |
Capability Radar vs rse-grand-challenge
Last code push 1109 days ago.
Fork-to-star ratio: 23.0%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.