Metadata-Version: 1.1
Name: pybrisque
Version: 1.0
Summary: A package for BRISQUE metric calculation.
Home-page: https://github.com/bukalapak/pybrisque
Author: Akbar Gumbira
Author-email: akbar.gumbira@bukalapak.com
License: GPL
Description: # PyBRISQUE
        An implementation of BRISQUE (Blind/Referenceless Image Spatial Quality 
        Evaluator) in Python from the paper: ["No-Reference Image Quality Assessment 
        in the Spatial Domain"](https://ieeexplore.ieee.org/document/6272356/).
        
        
        ## Installation
        The package is in PyPI so you can install it simply by this command:
        
        ```pip install --process-dependency-links pybrisque```
        
        ## Usage
        Initialize once:
        ```
        brisq = BRISQUE()
        ```
        and get the BRISQUE feature or score many times:
        ```
        brisq.get_feature('/path')
        brisq.get_score('/image_path')
        ```
        
        
        ## Limitations
        This implementation is heavily adopted from the original Matlab 
        implementation in [here](https://github.com/dsoellinger/blind_image_quality_toolbox/tree/master/%2Bbrisque). There is one catch though, the bicubic interpolation when resizing image in 
        Matlab and OpenCV is a bit different as explained in [here](https://stackoverflow.com/questions/26823140/imresize-trying-to-understand-the-bicubic-interpolation). For now, it uses ```nearest``` interpolation 
        which gives the most similar output with the original implementation.
        
        Comparing with Matlab original implementation on reference images of TID 2008: 
        
        ![Comparison](examples/comparison.png)
         
        And the absolute differences' stat is as follows: 
        ```
        {'min': 0.17222238726479588,
         'max': 16.544924728934404,
         'mean': 3.9994322498322754,
         'std': 3.0715344507521416}
        ```
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
