Metadata-Version: 2.1
Name: mail_tracking_number_voice_recognition_post_processing
Version: 0.0.0.1
Summary: Library contains functionality for converting given CTC-trained Neural Networks output into tracking number (Russian Post or International mail) format
Home-page: UNKNOWN
Author-email: nik310392illbeback@gmail.com
License: UNKNOWN
Description: This package allows you to convert CTC-trained Neural Networks output into mail tracking number in *International mail* or *Russian Post* format  
        
        
        Format example for *International mail*: ``RO260964943RU``  
        Format example for *Russian Post*: ``1421171600738``
        
        Class ``TrackingNumberRecognizer`` has method ``convert(matrix: np.array) -> list``, which takes 2d matrix and returns list of possible tracking numbers in decreasing order of probability
        
        
        Matrix first dimension corresponds to the time moment. Second dimension corresponds to a letter, last index has to correspond to *blank* (see CTC).
        **Russian letters supported only**.
        
        Value is the probability of pronunciation letter at the moment.
        
        Format (*International mail* or *Russian Post*) is set in  ``TrackingNumberRecognizer`` constructor.
        
        You can also set the letters order, the probability of your model making mistake, and the prior probabilities for letters in case of *International mail* format 
         
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
