Skip to main content

Comparison of two images using the structural similarity algorithm (SSIM).

Project description


Comparison of two images using the structural similarity algorithm (SSIM). The resulting value varies between 1.0 for identical images and 0.0 for completely different images. It's based on the PIL and also supports GPU acceleration via pyopencl.


python3 -m pip install SSIM-PIL

Be sure to install a working version of pyopencl to benefit from faster parallel execution on the GPU. (The code was tested with OpenCl version 1.2.)

Usage Example

from SSIM_PIL import compare_ssim
from PIL import Image

image1 =
image2 =
value = compare_ssim(image1, image2)


For feedback please contact me over github:

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for SSIM-PIL, version 1.0.12
Filename, size File type Python version Upload date Hashes
Filename, size SSIM_PIL-1.0.12-py3-none-any.whl (8.4 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size SSIM-PIL-1.0.12.tar.gz (5.5 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page