adithyanraj03/CourtKeyNet

CourtKeyNet is an open source deep learning model for high fidelity badminton court detection, featuring an Octave Feature Extractor, Polar Transform Attention, and Geometric Consistency analysis

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GitHub ✦ New Signal

GitHub

attention-mechanism computer-vision court-detection deep-learning feature-extraction geometric-constraints keypoint-detection machine-learning neural-networks pytorch sports-analytics

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Star & Fork Trend (8 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 62

forks 0

Growth Velocity

adithyanraj03/CourtKeyNet 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	CourtKeyNet	vox	EEGDash	CREsted
Stars	62	62	62	62
Forks	0	2	9	9
Weekly Growth	+0	+2	+0	+0
Language	Python	Rust	Python	Python
Sources	1	1	1	1
License	MIT	Apache-2.0	BSD-3-Clause	NOASSERTION

Capability Radar vs vox

CourtKeyNet

vox

Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 55

Fork-to-star ratio: 0.0%. Lower fork ratio may indicate passive usage.

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.