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A Python library for different image processing tasks.

Project description

Unit Tests PyPI version PyPI download month Maintained

ipynta is a Python library designed for rapid development of image pre-processing pipelines.

Installation

pip install ipynta

High level overview

The diagram above describes the purpose of each iPynta class family and how can they be used collectively in an image pre-processing pipeline.

Extractor Classes

Extractor classes are used for extracting the contents of a compressed files like zip, tar, rar and etc.

Sourcing Classes

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

Loader Classes

Loader classes are used for instantiating / constructing / loading images from different sources.

Predicate Classes

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

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.

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