Metadata-Version: 2.1
Name: colorblind
Version: 0.0.8
Summary: A small example package
Home-page: https://gitlab.com/FloatFlow/colorblind
Author: floatflow
Author-email: wolfrahfeldt@gmail.com
License: UNKNOWN
Description: # Colorblind
        
        Colorblind is a computer vision library that converts images into a
        colorblind friendly version depending on the type of colorblindness.
        The three supported types of colorblindness/color weakness are:
        
        * Deuteranopia: green weakness
        * Protanopia: red weakness
        * Tritanopia: blue weakness (extremely rare)
        
        So far we provide three algorithms to correct the images:
        
        * Daltonization: Original method for generating colorblind-friendly images
        * HSV Hue Shift: Shifts Hue based on green ratio or blue ratio (depending on colorblindness type)
        * LAB Shift: Previous studies for this had to tune hyperparameters to get good results
        
        
        ## Installation
        
        ```
        pip install colorblind
        ```
        
        ## Usage
        ```
        # imports
        import numpy as np
        import cv2
        from colorblind import colorblind
        import matplotlib.pyplot as plt
        
        # load image
        img = cv2.imread('../images/seven.jpg')
        img = img[..., ::-1]
        
        # simulate protanopia
        simulated_img = colorblind.simulate_colorblindness(img, colorblind_type='protanopia')
        
        # correct using daltonization
        daltonized_img = colorblind.daltonize_correct(img, colorblind_type='protanopia')
        
        # correct using hsv correction
        hsv_img = colorblind.hsv_color_correct(img, colorblind_type='protanopia')
        ```
        
        ## Results
        
        ### Deuteranopia
        | Type | Original | Daltonization | HSV Corrected |
        |----------|------------|---------------|---------------|
        | Full Color |![](images/seven.jpg) | ![](images/duteranopia_daltonized_img.jpg) | ![](images/protanopia_hsv_img.jpg) |
        | Simulated | ![](images/duteranopia_img.jpg) | ![](images/duteranopia_daltonized_view_img.jpg) | ![](images/duteranopia_hsv_view_img.jpg) |
        
        ### Protanopia
        | Type | Original | Daltonization | HSV Corrected |
        |----------|------------|---------------|---------------|
        | Full Color |![](images/seven.jpg) | ![](images/protanopia_daltonized_img.jpg) | ![](images/protanopia_hsv_img.jpg) |
        | Simulated | ![](images/protanopia_img.jpg) | ![](images/protanopia_daltonized_view_img.jpg) | ![](images/protanopia_hsv_view_img.jpg) |
        
        ### Tritanopia
        | Type | Original | Daltonization | HSV Corrected |
        |----------|------------|---------------|---------------|
        | Full Color |![](images/seven.jpg) | ![](images/tritanopia_daltonized_img.jpg) | ![](images/tritanopia_hsv_img.jpg) |
        | Simulated | ![](images/tritanopia_img.jpg) | ![](images/tritanopia_daltonized_view_img.jpg) | ![](images/tritanopia_hsv_view_img.jpg) |
        
        ## Credits
        
        Mostly inspired by a summary paper of algorithms applicable to making images color-blind friendly.
        Example: https://www.researchgate.net/publication/326626897_Smartphone_Based_Image_Color_Correction_for_Color_Blindness
        
        Daltonization values came from https://github.com/joergdietrich/daltonize
        
        Further information on color blindness is available at:
        * https://ixora.io/projects/colorblindness/color-blindness-simulation-research/
        * http://www.daltonize.org/
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
