https://github.com/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.
https://github.com/nekhtiari/image-similarity-measures
evaluation-metrics image machine-learning metrics p1 processing
Last synced: 6 months ago
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: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.
- Host: GitHub
- URL: https://github.com/nekhtiari/image-similarity-measures
- Owner: nekhtiari
- License: mit
- Created: 2020-04-06T07:27:49.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-08-31T00:17:13.000Z (about 1 year ago)
- Last Synced: 2025-03-27T15:31:25.233Z (6 months ago)
- Topics: evaluation-metrics, image, machine-learning, metrics, p1, processing
- Language: Python
- Homepage:
- Size: 1.1 MB
- Stars: 607
- Watchers: 12
- Forks: 70
- Open Issues: 12
-
Metadata Files:
- Readme: README-dev.md
- License: LICENSE
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README
# Developer documentation - Image Similarity Measures
The development installation is necessary if you want to contribute to the image-similarity-measures package, e.g. to
fix a bug.
Clone the repository and install the library in editable/system-link mode. We recommend using a virtual environment.
```bash
git clone https://github.com/nekhtiari/image-similarity-measures.git
cd image-similarity-measures
poetry install
```
## Upload new package version to PyPI
```bash
poetry publish --build --username $PYPI_USERNAME --password $PYPI_PASSWORD
```