# pyssim **Repository Path**: chingliu/pyssim ## Basic Information - **Project Name**: pyssim - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-06-11 - **Last Updated**: 2021-06-11 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # pyssim This module implements the Structural Similarity Image Metric (SSIM). Original code written by Antoine Vacavant from http://isit.u-clermont1.fr/~anvacava/code.html, with modifications by Christopher Godfrey and Jeff Terrace. [![Build Status](https://travis-ci.org/jterrace/pyssim.svg?branch=master)](https://travis-ci.org/jterrace/pyssim) ## Installation pip install pyssim ## Running $ pyssim --help usage: pyssim [-h] image1.png image path with* or image2.png Compares an image with a list of images using the SSIM metric. Example: pyssim test-images/test1-1.png "test-images/*" positional arguments: image1.png image path with* or image2.png optional arguments: -h, --help show this help message and exit --cw compute the complex wavelet SSIM --width WIDTH scales the image before computing SSIM --height HEIGHT scales the image before computing SSIM ## Compatibility pyssim is known to work with Python 2.7, 3.4 and 3.5 and we test these versions on Travis CI to make sure they keep working. ## Development To run from a local git client: PYTHONPATH="." python ssim To run the lint checks: pylint --rcfile=.pylintrc -r n ssim setup.py To test: $ PYTHONPATH="." python ssim test-images/test1-1.png "test-images/*" test-images/test1-1.png - test-images/test1-1.png: 1 test-images/test1-1.png - test-images/test1-2.png: 0.9980119 test-images/test1-1.png - test-images/test2-1.png: 0.6726952 test-images/test1-1.png - test-images/test2-2.png: 0.6485879 ## References * [1] Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli. Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4):600--612, 2004. * [2] Z. Wang and A. C. Bovik. Mean squared error: Love it or leave it? - A new look at signal fidelity measures. IEEE Signal Processing Magazine, 26(1):98--117, 2009. * [3] Z. Wang and E.P. Simoncelli. Translation Insensitive Image Similarity in Complex Wavelet Domain. Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on , vol.2, no., pp.573,576, March 18-23, 2005