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
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: scikit-image (>=0.14.2)

# 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)


