Metadata-Version: 2.1
Name: pyciede2000
Version: 0.0.21
Summary: Python package for calculating CIEDE2000 colour difference.
Home-page: https://github.com/shameempk/pyciede2000
Author: shameempk
Author-email: shameempk@pm.me
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/shameempk/pyciede2000
Description: **About**
        
        Python implementation of CIEDE2000 color difference calculation based on this paper:
        
        [The CIEDE2000 Color-Difference Formula: Implementation Notes, Supplementary Test Data, and Mathematical Observations](http://www2.ece.rochester.edu/~gsharma/ciede2000/ciede2000noteCRNA.pdf).
        
        More info: http://www2.ece.rochester.edu/~gsharma/ciede2000/
        
        Use this BibTeX to cite:
        ```BibTeX
        @article{Sharma2005TheObservations,
            title = {{The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observations}},
            year = {2005},
            journal = {Color Research {\&} Application},
            author = {Sharma, Gaurav and Wu, Wencheng and Dalal, Edul N},
            number = {1},
            month = {2},
            pages = {21--30},
            volume = {30},
            publisher = {Wiley Subscription Services, Inc., A Wiley Company},
            url = {http://dx.doi.org/10.1002/col.20070},
            doi = {10.1002/col.20070},
            issn = {1520-6378},
            keywords = {CIE, CIE94, CIEDE2000, CIELAB, CMC, color-difference metrics}
        }
        ```
        
        **Install**
        
        `pip install pyciede2000`
        
        **Usage**
        
        ```python
        from pyciede2000 import ciede2000
        
        res = ciede2000((50.0000,2.6772,-79.7751), (50.0000,0.0000,-82.7485))
        
        print(res)
        ```
        
        `ciede2000` accepts two color values as tuples in _Lab_ representation. Also supports optional keyword parameters for para-metric weighting factor `k_L`, `k_C` and `k_H`.
        
        **Output format**
        
        `ciede2000()` returns a dict with all significant fields in CIEDE2000 calculation.
        
        ```python
        res = {
        	"a_1_dash": a_1_dash,
        	"a_2_dash": a_2_dash,
        	"C_1_dash": C_1_dash,
        	"C_2_dash": C_2_dash,
        	"h_1_dash": h_1_dash,
        	"h_2_dash": h_2_dash,
        	"h_bar_dash": h_bar_dash,
        	"G": G,
        	"T": T,
        	"S_L": S_L,
        	"S_H": S_H,
        	"S_C": S_C,
        	"R_T": R_T,
        	"delta_E_00": delta_E_00
        }
        ```
        
        You might be only interested in the final delta value, `delta_E_00`.
        
        ```
        print(res['delta_E_00'])
        ```
        
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
