liuruoze/EasyPR

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

6.4k 2.5k +0/wk

GitHub

artificial-intelligence artificial-neural-networks chinese-characters computer-vision datasets machine-learning opencv opencv3 plate-recognition supervised-learning support-vector-machines unconstrained-situation

Trend 0

Star & Fork Trend (29 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 6.4k

forks 2.5k

Growth Velocity

liuruoze/EasyPR 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	EasyPR	cleverhans	pixie	courses
Stars	6.4k	6.4k	6.4k	6.4k
Forks	2.5k	1.4k	493	592
Weekly Growth	+0	+0	+1	-4
Language	C++	Jupyter Notebook	C++	Python
Sources	1	1	1	1
License	Apache-2.0	MIT	Apache-2.0	N/A

Capability Radar vs cleverhans

EasyPR

cleverhans

Maintenance Activity 0

Last code push 673 days ago.

Community Engagement 100

Fork-to-star ratio: 38.7%. 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 Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.