Metadata-Version: 2.1
Name: smh-data-augmentation
Version: 0.0.2
Summary: A data augmentator package
Home-page: https://github.com/beeva-samuelmunoz/data_augmentator
Author: Samuel M.H.
Author-email: samuel.mh@gmail.com
License: UNKNOWN
Description: # Data Augmentator
        
        ## Description
        This tool allows to generate modified data while keeping the statistical invariant, also known as data augmentation. It is useful to train machine learning models that need a huge amount of data and reduce the variance in predictions, see the [Bias–variance tradeoff](https://en.wikipedia.org/wiki/Bias%E2%80%93variance_tradeoff).  
        
        
        ## Features
        ### Images
          * Calculate new point positions.
          * Recalculate bounding boxes.
          * Command Line Interface
        ```bash
        python3 -m data_augmentation.img -h
        ```
        
        
        ### TODO
        * PIP package
        * Other domains than images.
        
        
        ## Alternatives
        This library is intented for internal uses of the lab so there could be others that fit better to your needs, see:
        * [imgaug](https://github.com/aleju/imgaug)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
