mpatacchiola/deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

1.9k 479 +0/wk

GitHub

cnn color-detection convolutional-neural-networks face-detection head-pose-estimation histogram-comparison histogram-intersection human-computer-interaction motion-detection motion-tracking particle-filter saliency-map

Trend 3

Star & Fork Trend (34 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 1.9k

forks 479

Growth Velocity

mpatacchiola/deepgaze has +0 stars this period . 7-day velocity: 0.1%.

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Signal-backed technical analysis will be available soon.

Metric	deepgaze	awesome-deep-trading	AI-Blocks	awesome-diarization
Stars	1.9k	1.9k	1.9k	1.9k
Forks	479	335	219	239
Weekly Growth	+0	+0	+0	+0
Language	Python	N/A	JavaScript	N/A
Sources	1	1	1	1
License	MIT	MIT	NOASSERTION	Apache-2.0

Capability Radar vs awesome-deep-trading

deepgaze

awesome-deep-trading

Maintenance Activity 0

Last code push 699 days ago.

Community Engagement 100

Fork-to-star ratio: 25.8%. 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 MIT. Permissive — safe for commercial use.

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