nekhtiari/image-similarity-measures

:chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

641 72 +0/wk

GitHub

evaluation-metrics image machine-learning metrics p1 processing

Trend 0

Star & Fork Trend (4 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 641

forks 72

Growth Velocity

nekhtiari/image-similarity-measures 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	image-similarity-measures	RLzoo	Copulas	euclidesdb
Stars	641	641	640	640
Forks	72	97	119	30
Weekly Growth	+0	+0	+0	+0
Language	Python	Python	Python	C++
Sources	1	1	1	1
License	MIT	Apache-2.0	NOASSERTION	NOASSERTION

Capability Radar vs RLzoo

image-similarity-measures

RLzoo

Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 56

Fork-to-star ratio: 11.2%. 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.