Metadata-Version: 2.1
Name: ipynta
Version: 0.0.18
Summary: A Python library for different image processing tasks.
Home-page: UNKNOWN
Author: Allan Chua
Author-email: allanchua.officefiles@gmail.com
License: UNKNOWN
Keywords: python,images,image utilities
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown

<p align="center">
    <img  src="https://i.imgur.com/mKCFKIf.jpeg"> 
</p>

<p align="center">
  <strong>ipynta</strong> is a Python library designed for rapid development of image pre-processing pipelines.
</p>

### High level overview

<p align="center">
  <img src="https://i.imgur.com/tCDKqJD.png" />
</p>

<p align="center">
  The diagram above describes the purpose of each iPynta class family and how can they be used collectively in an image pre-processing pipeline..
</p>

### Sourcing Classes

Sourcing classes are used for retrieving image datasets from different sources (local drive, zip files, etc.):

- [ImageGlobber](https://github.com/allanchua101/ipynta/blob/main/docs/globbing/ImageGlobber.md)

### Predicate Classes

Predicate classes are used for filtering unwanted data from image datasets.

- [DimensionPred](https://github.com/allanchua101/ipynta/blob/main/docs/predicates/DimensionPred.md)

### Why was it named ipynta?

`I-pinta` means _"to paint"_ in tagalog! This library is proudly developed by a Singapore-based Filipino lad with nothing better to do during evenings.


