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23 results

fet

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    Andrews Sobral authored and GitHub committed
    * Refactoring 01
    
    * Refactoring 02
    
    * Refactoring 03
    
    * Refactoring 04
    
    * Refactoring 05
    
    * Refactoring 06
    
    * Refactoring 07
    
    * Refactoring 08
    
    * Refactoring 09
    
    * Updated pybind11 module
    
    * Refactoring of VideoCapture
    
    * Updated README and python example
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    README.txt
    fet.py
    FET - FOREGROUND EVALUATION TOOL
    
    Implemented in Python 2.7
    
    Available measurements
    ----------------------
    
    TP - True positive:  Total number of true positive pixels.
    FP - False positive: Total number of false positive pixels.
    TN - True negative:  Total number of true negative pixels.
    FN - False negative: Total number of false negative pixels.
    
    Precision: Number of true positive pixels / (number of true positive pixels + number of false positive pixels).
    Recall:    Number of true positive pixels / (number of true positive pixels + number of false negative pixels).
    F-factor:  2 × (precision × recall)/(precision + recall). *** Also known as F1 score, F-score or F-measure.
    
    Description
    -----------
    # TP - # of foreground pixels classified as foreground pixels.
    # FP - # of background pixels classified as foreground pixels.
    # TN - # of background pixels classified as background pixels.
    # FN - # of foreground pixels classified as background pixels.