repowiseandrewekhalel/sewar

andrewekhalel / sewar

All image quality metrics you need in one package.

Python★ 612
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github.com/andrewekhalel/sewarIndexed at c872e15Up to date with upstream

What is sewar?

sewar is a Python package for image quality assessment using different metrics. It computes quality measures from image arrays and provides a command-line interface for selected metrics. The package is implemented in Python.

Written by a model from the README and the source

14 files and 148 symbols in 3 modules, led by Python (11 files) and Makefile (1).

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Code health

8.0out of 10Good

Hotspots average 6.5, the place fixes pay off most.

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  • get_answer("how is sewar put together?")
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Explore sewar

Key features of sewar

  • sewar implements Mean Squared Error, Root Mean Squared Error, Peak Signal-to-Noise Ratio, Structural Similarity Index, and other image quality metrics.
  • sewar includes Universal Quality Image Index, Multi-scale Structural Similarity Index, ERGAS, SCC, RASE, and Spectral Angle Mapper metrics.
  • sewar includes Spectral Distortion Index, Spatial Distortion Index, Quality with No Reference, Visual Information Fidelity, PSNR-B, and Q2n.
  • sewar accepts NumPy arrays in H x W x C format for metric functions.
  • sewar provides command-line access to metrics such as mse, rmse, psnr, uqi, ssim, and msssim.

How andrewekhalel/sewar works

Image data enters sewar through NumPy arrays in H x W x C format or through the command-line interface. The sewar/full_ref.py module provides full-reference metric functions, including UQI, which compares two image arrays. The package exposes metric names for command-line use, where a metric receives ground-truth and processed-image paths plus optional parameters. The sewar package directory holds the implementation, while docs provides documentation files. The root files support package setup and project tasks.

The codebase has 14 files and 148 symbols in 3 modules, led by Python and Makefile. Code health is 8.0 out of 10, rated good.

Getting started with sewar

  1. Install sewar.
    pip install sewar
  2. Install the test dependencies.
    pip install pytest pytest-cov
  3. Run the tests with coverage.
    pytest --cov=sewar
  4. Run a metric from the command line with image paths and optional parameters.
    sewar [metric] [GT path] [P path] (any extra parameters)

Commands copied from the README

andrewekhalel/sewar FAQ

What is sewar?

sewar is a Python package for image quality assessment. sewar provides image quality metrics and command-line access to selected metrics.

How does sewar work?

sewar computes metrics from NumPy image arrays or command-line image paths. sewar includes full-reference functions such as UQI and accepts arrays in H x W x C format.

How do I install sewar?

sewar installs with pip install sewar. sewar can be tested after installing pytest and pytest-cov.

What language is sewar written in?

sewar is written in Python. The repository also includes a Makefile.

How is the sewar code organized?

sewar keeps its implementation in the sewar directory, documentation in docs, and project support files at the root. sewar/full_ref.py is a central metric implementation file.

Who is sewar for?

sewar is for users performing image quality assessment. sewar supports metrics that compare image data and metrics designed for quality assessment without a reference.

What license does sewar use?

sewar uses the MIT license.

The summary, features and answers on this page are written by a model from the README and the source, and refreshed with each index.

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